1. Neuroscience

A parabrachial to hypothalamic pathway mediates defensive behavior

  1. Fan Wang
  2. Yuge Chen
  3. Yuxin Lin
  4. Xuze Wang
  5. Kaiyuan Li
  6. Yong Han
  7. Jintao Wu
  8. Xingyi Shi
  9. Zhenggang Zhu
  10. Chaoying Long
  11. Xiaojun Hu
  12. Shumin Duan  Is a corresponding author
  13. Zhihua Gao  Is a corresponding author
  1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, China
  2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, China
  3. NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, China
  4. Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, China
  5. The Institute of Brain and Cognitive Sciences, Zhejiang University City College, China
  6. Chuanqi Research and Development Center of Zhejiang University, China
https://doi.org/10.7554/eLife.85450
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Cite this article
  1. Fan Wang
  2. Yuge Chen
  3. Yuxin Lin
  4. Xuze Wang
  5. Kaiyuan Li
  6. Yong Han
  7. Jintao Wu
  8. Xingyi Shi
  9. Zhenggang Zhu
  10. Chaoying Long
  11. Xiaojun Hu
  12. Shumin Duan
  13. Zhihua Gao
(2023)
A parabrachial to hypothalamic pathway mediates defensive behavior
eLife 12:e85450.
https://doi.org/10.7554/eLife.85450
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Abstract

Defensive behaviors are critical for animal’s survival. Both the paraventricular nucleus of the hypothalamus (PVN) and the parabrachial nucleus (PBN) have been shown to be involved in defensive behaviors. However, whether there are direct connections between them to mediate defensive behaviors remains unclear. Here, by retrograde and anterograde tracing, we uncover that cholecystokinin (CCK)-expressing neurons in the lateral PBN (LPBCCK) directly project to the PVN. By in vivo fiber photometry recording, we find that LPBCCK neurons actively respond to various threat stimuli. Selective photoactivation of LPBCCK neurons promotes aversion and defensive behaviors. Conversely, photoinhibition of LPBCCK neurons attenuates rat or looming stimuli-induced flight responses. Optogenetic activation of LPBCCK axon terminals within the PVN or PVN glutamatergic neurons promotes defensive behaviors. Whereas chemogenetic and pharmacological inhibition of local PVN neurons prevent LPBCCK-PVN pathway activation-driven flight responses. These data suggest that LPBCCK neurons recruit downstream PVN neurons to actively engage in flight responses. Our study identifies a previously unrecognized role for the LPBCCK-PVN pathway in controlling defensive behaviors.

Editor's evaluation

In this study, the authors revealed that activation of LPB CCK-expressing neurons could drive flight-to-nest behavior and increase sympathetic output while inhibiting the cells reduces the behavioral response to predator exposure and visual predatory cues. They further found that LPB CCK neurons project to the PVN area, and activation of this pathway caused similar behavioral changes. Lastly, activating PVN glutamatergic cells can also induce flight. The evidence is solid, the study is valuable, and it will be of interest to the affective and circuit neuroscience fields as it provides insights into a novel parabrachial to hypothalamus pathway that could potentially mediate threat avoidance behavior.

https://doi.org/10.7554/eLife.85450.sa0

Introduction

Living in an environment full of diverse threats, animals develop a variety of defensive behaviors for survival during evolution (Anderson and Adolphs, 2014; Blanchard et al., 2001; Crawford and Masterson, 1982; Fanselow and Bolles, 1979; LeDoux, 2012; Yilmaz and Meister, 2013). From the perspective of predator and prey interactions, defensive responses are generally divided into two categories: to avoid being discovered (such as freezing or hiding behaviors) or being caught (such as escaping or attacking behaviors) (Crawford and Masterson, 1982; Fanselow and Bolles, 1979; Yilmaz and Meister, 2013). Which type of defensive behavior is selected depends on many factors, including the intensity and proximity of the threat, as well as the surrounding context. In general, escape is triggered when animals are faced with an imminent threat with a shelter nearby (Eilam, 2005; Lin et al., 2023; Perusini and Fanselow, 2015; Sun et al., 2020b; Zhang et al., 2018).

Several brain regions, including the periaqueductal gray (PAG), amygdala, and medial hypothalamic zone (MHZ), have been implicated in mediating escape behaviors (Evans et al., 2018; Shang et al., 2018; Shang et al., 2015; Silva et al., 2013; Tovote et al., 2016; Wang et al., 2015; Wang et al., 2021b; Wei et al., 2015). Recent studies have highlighted a role for the hypothalamus, in particular the MHZ, including the anterior hypothalamic nucleus (AHN), the dorsomedial part of ventromedial hypothalamic nucleus (VMHdm) and the dorsal pre-mammillary nucleus (PMd), in mediating escape behaviors. For example, a subset of VMH neurons collaterally project to the AHN and PAG to promote both escape and avoidance behaviors (Wang et al., 2015). Moreover, PMd neurons project to the dorsolateral periaqueductal gray region (dlPAG) and the anteromedial ventral thalamic region (AMV) also control escape behaviors (Wang et al., 2021b). In addition, PVN, an area enriched with endocrine neurons, has also been associated with escape behaviors (Mangieri et al., 2019). Optogenetic activation of Sim1+ neurons in the PVN triggers escape and projections from the PVN to both the ventral midbrain region (vMB) and the ventral lateral septum (LSv) mediate defensive-like behaviors, including hiding, escape jumping and hyperlocomotion (Mangieri et al., 2019; Xu et al., 2019). Despite a growing number of studies illustrating the importance of PVN in mediating defensive behaviors, upstream inputs that transmit the danger signals to the PVN remain unclear (Isosaka et al., 2015; Penzo et al., 2015).

Located in the dorsolateral pons, PBN, serves as an important relay station for sensory transmission (Fulwiler and Saper, 1984). While PBN is best known for various sensory processes to protect the body from noxious stimuli, emerging evidence suggests that it may act as a key node in mediating defensive behaviors (Campos et al., 2018; Day et al., 2004; Han et al., 2015a). Electrical lesions of the PBN or local microinjections of kainic acid into the PBNinduced defensive behaviors (Mileikovskii and Verevkina, 1991). In addition, exposure of the olfactory predator cue, trimethylthiazoline (TMT), increased c-fos expression in the LPB (Day et al., 2004). More importantly, calcitonin gene-related peptide (CGRP) neurons, located in the external lateral subnuclei of PBN (PBel), have been shown to mediate alarm responses and defensive behaviors under stressful or threatening circumstances via projections to the amygdala and the bed nucleus of stria terminalis (BNST) ( Han et al., 2015a; Zhang et al., 2020). While both PBN and PVN neurons appear to be involved in defensive responses, it remains unclear whether they connect with each other to mediate defensive behaviors (Fulwiler and Saper, 1984).

Both CCK and CCK receptor-expressing neurons have been implicated in defensive behaviors (Bertoglio et al., 2007; Chen et al., 2022; Wang et al., 2021a). PVN neurons also express CCK receptors and are involved in defensive behaviors (Mangieri et al., 2019; O’Shea and Gundlach, 1993; Xu et al., 2019), raising a possibility that upstream CCK inputs to the PVN (Meister et al., 1994) may be implicated in defensive behaviors. In an attempt to test this possibility, we injected the Cre-dependent retrograde tracer (AAV2-Retro-DIO-EYFP) into the PVN of Cck-cre mice and found that the LPB is an important upstream CCKergic input to the PVN. We further showed that LPBCCK neurons were recruited upon exposure to various threat stimuli. Optogenetic activation of either LPBCCK neuronal somas or their projections to the PVN promotes defensive responses, whereas their inhibition attenuates defensive-like behaviors, suggesting an essential and sufficient role for LPBCCK-PVN pathway in mediating defensive behaviors.

Results

LPBCCK neurons provide monosynaptic glutamatergic projections to the PVN

To identify upstream CCKergic inputs to the PVN and visualize the range of viral infection, we injected a mixture of retrograde viral tracer (AAV2-Retro-DIO-EYFP, hereafter referred to as AAV2-Retro) and CTB 555 into the PVN of knock-in mice expressing Cre recombinase at the CCK Locus (Cck-ires-cre, referred to as Cck-cre hereafter; Figure 1A). We observed abundant EYFP+ neurons in the LPB, medial orbital cortex (MO), and cingulate cortex (CC), with scattered EYFP+ cells in the PAG and dysgranular insular cortex (DI) (Figure 1B–H). Since LPB is a region critical for sensory signal processing, we mainly focused on the LPB in the following study (Fulwiler and Saper, 1984; Garfield et al., 2014).

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LPBCCK neurons project to the PVN.

(A) Scheme of viral strategy for retrograde tracing from the PVN in Cck-cre mice using AAV2-Retro virus. (B) Representative image showing the injection site as marked by CTB555. (C) Representative histological images of EYFP+ neurons in the LPB. (D–H) A heatmap (D) demonstrating the distribution of EYFP+ neurons in the MO (E), CC (F), DI (G), PAG (H), n = 3 mice. (I–J) Anterograde tracing of LPBCCK neurons using AAV-hSyn-FLEX-mGFP-2A-Synaptophysin-mRuby virus. (K) Projections of LPBCCK neurons to the PVN. The right panel shows a magnified view of boxed area; scale bar, 100 μm; n = 3 mice. (L) Schematic of recording from PVN cells after optogenetic activation of LPBCCK axonal terminals. (M) Representative traces of light-evoked EPSCs recorded from PVN neurons following light stimulation of LPBCCK axonal terminals in the presence of ACSF (Ctrl), TTX (1 μM) and 4-AP (100 μM). (N) Quantification of excitatory postsynaptic currents (EPSCs) from identified PVN neurons receiving inputs from the LPBCCK neurons in the presence of ACSF (Ctrl), TTX (1 μM) and 4-AP (100 μM). (ACSF vs. TTX ****p < 0.0001; TTX vs. 4-AP ****p < 0.0001; ACSF vs. 4-AP p > 0.9999, one-way ANOVA Bonferroni’s multiple comparisons test). (O) Representative traces of light-evoked EPSCs recorded from PVN neurons following light stimulation of LPBCCK axonal terminals in the presence of CNQX (20 μM) and AP5 (50 μM) (n = 9 neurons). (P) Quantification of EPSCs and inhibitory postsynaptic currents (IPSCs) from identified PVN neurons receiving inputs from the LPBCCK neurons. (oEPSC, p = 0.0003 t = 5.378 df = 10; oIPSC, p = 0.8793 t = 0.1558 df = 10; unpaired t test).

Figure 1—source data 1

Quantification of the labeled cells, EPSCs and IPSCs.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig1-data1-v1.xlsx

LPB contains several subregions with diverse peptide-expressing neuronal subtypes and CCK+ neurons have been shown to primarily locate within the superior lateral PB (PBsl; Garfield et al., 2014). To dissect the identity of CCK+ neurons in the LPB, we performed in situ hybridization in Cck-cre::Ai14 mice using probes for Slc17a6 and Slc32a1, markers specific to glutamatergic and GABAergic neurons (Figure 1—figure supplement 1A–C). We found that LPBCCK neurons (84.0% ± 1.7%) predominantly expressed Slc17a6, with a tiny subpopulation (2.0% ± 1.2%) expressing Slc32a1, suggesting that LPBCCK neurons were mostly glutamatergic neurons (Figure 1—figure supplement 1D–E). In addition, co-labeling with another neuropeptide, CGRP, revealed minimal co-localization (2.2% ± 0.37%) between CCK and CGRP (Figure 1—figure supplement 1F–G), suggesting primary separation between these two subpopulations of neurons. Collectively, these data demonstrate that LPBCCK neurons comprise predominantly glutamatergic neurons, which barely overlap with CGRP neurons.

To verify the anatomical connections between the LPB and PVN, we injected the anterograde viral tracer (AAV-hSyn-FLEx-mGFP-2A-Synaptophysin-mRuby) into the LPB of Cck-cre mice (Figure 1I–J). We observed prominent GFP+ fibers and mRuby+ bouton-like structures, reminiscent of axonal terminals, within the PVN (Figure 1K) and other brain regions (Figure 1—figure supplement 2A–L). Next, we injected the Cre-dependent adeno-associated virus (AAV) expressing channelrhodopsin-2 virus (AAV2/9-DIO-ChR2-EYFP) into the LPB of Cck-cre mice (Figure 1L) and optogenetically stimulated the axonal terminals of virus-labeled LPBCCK neurons within the PVN in brain slices. We successfully recorded light stimulation-induced excitatory postsynaptic currents (EPSCs), rather than inhibitory postsynaptic currents (IPSCs). These EPSCs were blocked in the presence of the sodium channel antagonist tetrodotoxin (TTX), but rescued by the potassium channel antagonist 4-Aminopyridine (4-AP) (Figure 1M–N). Further, NMDA receptor antagonist AP5, and AMPA receptor antagonist CNQX also blocked light stimulation-induced EPSCs (Figure 1O–P), validating that PVN neurons receive monosynaptic excitatory innervations from LPBCCK neurons.

Photostimulation of LPBCCK neurons induces aversion and defensive behaviors

LPBCCK neurons have been shown to regulate glucose homeostasis and body temperature (Garfield et al., 2014; Yang et al., 2020). However, it remains unclear whether activation of LPBCCK neurons may elicit direct behavioral changes. Before optic stimulation in vivo, we first tested the efficacy of optogenetic stimulation by whole-cell recording in ChR2-expressing LPBCCK neurons. We observed that 5–20 Hz blue laser pulses induced time-locked action potential firing, with 20 Hz inducing maximal firing capacities. We then chose 20 Hz for the following in vivo stimulation (Figure 2A).

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Activation of LPBCCK neurons triggers aversion, defensive-like flight-to-nest behavior and autonomic responses.

(A) Left, schematic of light stimulation of and patch-clamp recording from ChR2-EYFP expressing CCK neurons in the LPB. Right, example of action potentials evoked by optogenetic stimulation LPBCCK neurons using whole cell patch-clamp slice recording. (B) Schematic diagram of optogenetic activation of LPBCCK neurons. (C) Representative image showing the ChR2-EYFP expression and optical fiber tip locations in the LPB of a Cck-cre mouse. Scale bar, 100 μm. (D) Schematic of the timing and behavioral paradigm with optical activation of LPBCCK neurons. (E–F) Diagram of the real-time place aversion (RTPA) test and the example traces of the RTPA test from the mice. (G) Quantification of the time of mice spent in the laser-paired chamber (EYFP: n = 5 mice, ChR2: n = 5 mice; df = 16; two-way ANOVA test) after optogenetic activation. (H) Diagram of the flight to nest test. (I–K) Quantification of latency (I), speed (J) and time in the nest (K) (EYFP: n = 7 mice, ChR2: n = 7 mice; for latency, p = 0.0006, U = 0; Mann-Whitney test; for speed, p = 0.0016, t = 4.052, df = 12; unpaired t test; for time in the nest, p < 0.0001, t = 19.82, df = 12; unpaired t test). (L) Analyses of heart rate changes induced by photostimulation of LPBCCK neurons. (EYFP: n = 7 mice, ChR2: n = 7 mice; p = 0.0006, t = 4.603, df = 12; unpaired t test). (M–N) Example images of computer-detected pupils (M) and quantitative analyses of pupil size before and during photo-stimulation of LPBCCK neurons (N) (EYFP: n = 6 mice, ChR2: n = 6 mice; p = 0.0022, U = 0; Mann-Whitney test). (O) Cartoon of the arousal state during the activation of LPBCCK neurons. (P) Plasma corticosterone levels in EYFP and ChR2 groups. (EYFP: n = 5 mice, ChR2: n = 5 mice; p = 0.0121, t = 3.23, df = 8; unpaired t test).

Figure 2—source data 1

Quantification of the flight-to-nest behavior and autonomic responses upon activation of LPB CCK neurons.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig2-data1-v1.xlsx

We injected the control or ChR2-expressing viruses (AAV2/9-EF1a-DIO-EYFP or AAV2/9-EF1a-DIO-ChR2-EYFP) into the LPB of Cck-cre mice, followed by optical fiber implantation and optic stimulation (Figure 2B–D). Since LPB has been shown to mediate aversion (Chiang et al., 2019), we first tested whether optogenetic activation of LPBCCK neurons affects aversion using the real-time place aversion (RTPA) test (Figure 2E). We found that activation of LPBCCK neurons significantly reduced the duration of mice in the laser-paired chamber, accompanied by rapid running or flight to the other laser-unpaired chamber, indicating an obvious aversion-like avoidance and/or fear-related defensive-like behaviors (Figure 2F–G).

To further investigate whether LPBCCK neurons plays a role in defensive behaviors, we used a well-established flight-to-nest behavioral test by putting a nest in the corner of an arena to test the ability of mice to actively search for hiding (Figure 2H). Of note, activating LPBCCK neurons induced robust flight-to-nest behavior in mice, with much shorter latency and faster speed running towards the nest (latency: EYFP, 87.71 ± 22.38 s vs. ChR2, 7.571 ± 0.8123 s; speed: EYFP, 184.4% ± 30.4% vs. ChR2, 361.7% ± 31.5%), followed by longer stay in the nest (EYFP, 63.906% ± 3.645% vs. ChR2, 97.26% ± 2.737%; Figure 2I–K). These data suggest that activation of LPBCCK neurons induces aversion-like avoidance and defensive-like flight-to-nest behaviors.

Defensive behaviors are usually accompanied by changes in the autonomic nervous system, such as increased heart rates, dilated pupil size and elevated cortisol levels (Dong et al., 2019; Gross and Canteras, 2012; Wang et al., 2015). We found that photostimulation of LPBCCK neurons also significantly increased heart rates and enlarged pupil diameters, along with elevated plasma levels of corticosterone (Figure 2L–P), suggesting that activating LPBCCK neurons induces fast sympathetic changes, leading to an arousal state accompanying the defensive responses in mice (Salay et al., 2018).

Since activation of LPBCCK neurons induced fear-associated flight-to-nest behaviors and long-term fear may trigger anxiety-like states in animals (Tovote et al., 2005; Yang et al., 2016), we also examined whether prolonged activation of LPBCCK neurons induces anxiety-like behaviors (Figure 2—figure supplement 1A). After 10 min of light stimulation, mice injected with ChR2 exhibited significantly reduced center time and center entries in the open field tests without affecting total distance, and decreased open arm entries and time in the elevated plus maze tests (Figure 2—figure supplement 1B–J), suggesting that prolonged activation of LPBCCK neurons also induces anxiety-like behaviors in mice.

LPBCCK neurons encode threat stimuli-evoked flight behaviors

LPB neurons were shown to be activated when animals are in proximity to dangerous stimuli (Campos et al., 2018; Day et al., 2004; Han et al., 2015b). To track the endogenous activities of LPBCCK neurons in vivo, we injected the Cre-dependent fluorescent calcium indicator AAV-DIO-GCaMP7s into the LPB of Cck-cre mice, and recorded the calcium responses by fiber photometry (Figure 3A–C). Consistent with previous observation (Yang et al., 2020), we observed elevated calcium responses of LPBCCK neurons by heat stimuli (43 °C) (Figure 3—figure supplement 1A–D). We then tested the response of these neurons in a predator-exposure assay, in which an awake but restrained rat was placed at one end of a rectangular arena (Reis et al., 2021; Weisheng et al., 2021), and a mouse was placed at the other end, away from the rat. After perceiving the presence of the rat, mice usually exhibit risk assessment behaviors by curiously approaching and investigating the rat (Olivier et al., 1991). We observed that the calcium signals of LPBCCK neurons gradually rise when mice approached the rat. At the moment of escape initiation, when mice turned back and dashed away from the rat, the calcium signals reached a peak (Figure 3D–G and L). However, the signals ramped down as mice gained distance from the rat. Notably, activities of LPBCCK neurons were unaffected in the presence of a toy rat (Figure 3—figure supplement 1E–H).

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Threat stimuli recruit LPBCCK neurons to elicit defensive behaviors.

(A) Schematic of the in vivo recording system for the Ca2+ signal. (B) Schematic showing the injections and recording of LPB neurons in Cck-cre mice. (C) A representative image (left panel) and a magnified view of neurons labeled by AAV-hsyn-DIO-GCaMP7s, scale bar, 100 μm; n = 5 mice. (D) Schematic of the rat exposure assay. (E–F) A heatmap (E) and a peri-event plot (F) of calcium transients of LPBCCK neurons in a mouse evoked by rat exposure (5 trials) (gray dotted line, onset of approach to the live rat; dark dotted line, onset of flight). (G) Average calcium transients of the tested animals during the rat exposure assay (n = 5 mice). Shaded areas around means indicate error bars. (H) Schematic paradigm of looming stimulus in a nest-containing open-field apparatus. (I–J) A heatmap presentation (I) and a peri-event plot (J) of calcium transients of LPBCCK neurons in a mouse upon looming stimulus (5 trials). (K) Average calcium transients of the tested animals during the looming assay (n = 5 mice). (L–M) Long session calcium recordings of LPBCCK neurons during rat exposure (L) or looming tests (M). (N–O) Correlation analyses between the elevation of calcium transients and the onset of flight during rat exposure or looming tests. (p < 0.0001 Linear regression). (P) Comparison of calcium signals LPBCCK neurons evoked by different stimuli. (Q–R) Plot depicting the differences of the amplitude or the area under the curve (AUC) of calcium signal changes in response to different stimuli. ∆AUC, AUC stimulus signal- AUC basal signal. (Q, Rat vs. Looming: p > 0.9999; Rat vs. TMT: p > 0.9999；TMT vs. Looming: p > 0.9999; one-way ANOVA; R, Rat vs. Looming p > 0.0676; Rat vs. TMT p > 0.1654; TMT vs. Looming p >0.9999; one-way ANOVA).

Figure 3—source data 1

Plot depicting the difference of Ca2+ activity.

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In the presence of the visual predatory cue, such as appearing and expanding looming shadows to mimic an approaching predator (Yilmaz and Meister, 2013), LPBCCK neurons also showed increased calcium signals (Figure 3H). Similar to rat exposure assay, we also tested the response of these neurons in the looming assay, the elevated calcium signals reached peak when the animal initiated escape, but reduced once it ran into the nest (Figure 3H–K and M). LPBCCK neurons also showed elevated calcium signals when mice were exposed to the olfactory predatory cue, TMT odor (Figure 3—figure supplement 1–L). Correlative analysis revealed that the elevation of the calcium signal was correlated with the onset of escape responses (Figure 3N–O). Thus, threatening stimuli of different sensory predatory cue stimulated the LPBCCK neurons (Figure 3P–R). Together, these data demonstrate that LPBCCK neurons encode innate threat stimuli-evoked aversion and flight behaviors.

Inhibition of LPBCCK neurons suppressed predatory cue-evoked flight responses

To examine whether LPBCCK neurons are required for innate threat-evoked defensive behaviors, we then inhibited LPBCCK neurons using optogenetic tools. By injecting the Cre-dependent AAV expressing the guillardia theta anion channel rhodopsins-1 (GtACR1) into the LPB of Cck-cre mice, followed by optic stimulation, we were able to effectively inhibit the firing of LPBCCK neurons (Figure 4A). Next, we bilaterally injected the control or GtACR1 viruses into the LPB and photo-inhibited these neurons in vivo (Figure 4B–C). In the rat exposure test (Figure 4D–E), after a quick exploration of the rat in the corner (the danger zone), control mice usually fled to the other end of the box (the putative safe zone). However, optic inhibition of LPBCCK neurons significantly increased the time (EYFP, 7.247% ± 2.329% vs. GtACR1, 26.57% ± 5.375%) and entries (EYFP, 6.167 ± 1.579 vs. GtACR1, 12.67 ± 2.141) of mice to the danger zone, with no effect on total travel distance (EYFP, 8.837 ± 1.934 m vs. GtACR1, 12.69 ± 1.421 m), suggesting a delayed flight response (Figure 4F–H). In the looming test (Figure 4I–J), inhibition of LPBCCK neurons also increased the latency fleeing to the nest (EYFP, 10.18 ± 2.828 s vs. GtACR1, 27.14 ± 6.526 s), followed by reduced hiding time in the nest (EYFP, 85.36% ± 9.846% vs. GtACR1, 39.17% ± 16.36%; Figure 4K–L). Our data suggest that LPBCCK neurons are required for proper defensive behaviors to rat exposure and looming stimuli.

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Optogenetic inhibition of LPBCCK neurons suppresses predator- and visual predatory cue-evoked innate flight responses.

(A) Left, schematic of light stimulation of and patch-clamp recording of GtACR1-expressing CCK neurons in the LPB. Right, example of action potentials evoked by optogenetic inhibition of LPBCCK neurons from using whole cell patch-clamp recording. (B) Schematic diagram of optogenetic inhibition of LPBCCK neurons. (C) Representative image showing the GtACR1-EYFP expression in the LPB and optical fiber tip locations above the LPB of a Cck-cre mouse. (D–E) Schematic and the timing and behavioral paradigm of rat exposure assay. (F–H) Photoinhibition of LPBCCK neurons increased number of entries toward the rat (danger zone), time spent in the danger zone, with unchanged travel distance (EYFP: n = 6 mice, GtACR1: n = 9 mice; for times of entries, p = 0.0456, t = 2.21, df = 13; unpaired t test; for time in the danger zone, p = 0.0153, t = 2.791, df = 13; unpaired t test; for total distance, p = 0.1246, t = 1.642, df = 13; unpaired t test). (I–J) Schematic of the looming test apparatus, the timing and behavioral paradigm of looming-evoked flight-to-nest behavioral test. (K–L) Photoinhibition of LPBCCK neurons increased the latency towards the nest and reduced the hiding time in the nest. (EYFP: n = 11 mice, GtACR1: n = 7 mice; for latency, p = 0.0153, t = 2.716, df = 16; unpaired t test; Mann-Whitney test; for time in the nest, p = 0.0201, t = 2.582, df = 16; unpaired t test).

Figure 4—source data 1

Quantification of the defensive responses upon inhibition of LPB CCK neurons.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig4-data1-v1.xlsx

Stimulation of the LPBCCK-PVN pathway triggers defensive-like flight-to-nest behaviors

To further investigate whether activation of the LPBCCK-PVN pathway induces defensive-like flight-to-nest behavior, we unilaterally injected the control or ChR2 virus into the LPB of Cck-cre mice and implanted an optical fiber above the PVN (Figure 5A–E). By photostimulating the axonal terminals of LPBCCK neurons within the PVN, we also observed shorter latency (EYFP, 73.43 ± 21.08 s vs. ChR2, 8 ± 1.047 s), faster speed (EYFP, 122.3% ± 17.81% vs. ChR2, 277.9% ± 32.85%) running towards the nest, and longer stay in the nest, (EYFP, 3.751% ± 1.23% vs. ChR2, 89.29% ± 10.71%; Figure 5F–H), similar to soma activation. Post-hoc c-fos staining further verified the activation of PVN neurons after optic stimulation (Figure 5I–J). As well, terminal activation also increased heart rates (Figure 5K) and plasma corticosterone levels (Figure 5N), but with no effects on pupil size (Figure 5L–M). Together, these data suggest that activation of the LPBCCK-PVN pathway is sufficient to trigger flight-to-nest behavior, along with increased heart rates and corticosterone levels.

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Photostimulation of the LPBCCK-PVN pathway induces defensive-like flight-to-nest behavior.

(A) Schematic diagram of optogenetic activation of LPBCCK-PVN pathway. (B–C) A representative image showing the ChR2-EYFP expression in the LPB (B) and the optical fiber tip locations in the PVN (C) of a Cck-cre mouse. (D) Schematic of the timing and behavioral paradigm with optical activation of LPBCCK-PVN pathway. (E) Schematic of the experimental apparatus with a nest in the corner. (F–H) Optogenetic activation of the LPBCCK-PVN pathway shortened the latency but increased the speed of animals towards the nest, with increased hiding time in the nest (EYFP: n = 7 mice, ChR2: n = 7 mice; for latency, p = 0.0012, U = 0; Mann-Whitney test; for speed, p = 0.0013, t = 4.163, df = 12; unpaired t test; for time in the nest, p = 0.0006, U = 0; Mann-Whitney test). (I–J) C-fos staining in the PVN (I) and quantification of c-fos positive cells in the PVN (J). Scale bar: 100 μm. (EYFP: n = 3 mice, ChR2: n = 3 mice; p = 0.0033, t = 6.253, df = 4; unpaired t test). (K) Mean heart rate analyses in EYFP and ChR2 groups (EYFP: n = 7 mice, ChR2: n = 7 mice; p = 0.0002, t = 5.249, df = 12; unpaired t test). (L) Example image of computer-detected pupil size before and during photoactivation of LPBCCK neurons. (M) Relative pupil size of animals (during/before photostimulation of LPBCCK neurons) (EYFP: n = 6 mice, ChR2: n = 6 mice; p = 0.0022, U = 0; Mann-Whitney test). (N) Plasma corticosterone levels in EYFP and ChR2 groups (EYFP: n = 5 mice, ChR2: n = 5 mice; p = 0.0079, U = 0; Mann-Whitney test).

Figure 5—source data 1

Quantification of the flight-to-nest behavior and autonomic responses upon activation of LPB CCK-PVN pathway.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig5-data1-v1.xlsx

PVN is required for defensive responses to threatening situations

Since LPBCCK neurons project to multiple regions (Figure 1—figure supplement 2A–I), the effects observed upon their activation may arise from different downstream targets, other than the PVN. To test this possibility, we investigated whether inhibition of the PVN is required for the LPBCCK neurons-induced defensive-like flight-to-nest behavior. To achieve this aim, we used a dual virus-mediated optogenetic activation and chemogenetic inhibition strategy, by injecting AAV2/9-DIO-ChR2-EYFP into the LPB, and AAV2/9-hsyn-hM4Di-mCherry into the PVN of Cck-cre mice. By putting an optical fiber above the PVN, we were able to activate the LPBCCK terminals and induce defensive-like flight-to-nest behavior as shown above (Figure 6A–B). Upon CNO administration to inhibit PVN neurons, we observed a much longer latency, lower speed of the mice in returning to the nest, and reduced hiding time in the nest (latency: saline, 8.286 ± 1.475 s vs. CNO, 18.29 ± 2.843 s; speed: saline, 289.3% ± 25.22% vs. CNO, 124.7% ± 13.67%; time in the nest: saline, 81.55% ± 11.16% vs. CNO, 25.83% ± 10.32%; Figure 6C–E). These data suggest that the PVN is a required downstream target for LPBCCK neurons activation-induced defensive behavior.

Figure 6 with 3 supplements see all
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PVN is involved in the defensive-like flight-to-nest behavior evoked by LPBCCK neurons.

(A) Schematic of experimental setup. (B) Left, representative image showing the ChR2-EYFP expression in the LPB of a Cck-cre mouse. Scale bar, 100 μm. Right, representative image showing the hM4Di-mCherry expression in the PVN and optic fiber placement in the PVN from a ChR2-EYFP expressing mouse. (C–E) Chemogenetic inhibition of PVN neurons before optical activation of LPBCCK-PVN terminals increased latency and reduced the speed of animals towards the nest, with reduced hiding time in the nest (saline: n = 7 mice, CNO: n = 7 mice; for latency, p = 0.0088, t = 3.122, df = 12; unpaired t test; for speed, p < 0.0001, t = 5.736, df = 12; unpaired t test; for time in the nest, p = 0.0032, t = 3.665, df = 12; unpaired t test). (F) Optogenetic activation of LPBCCK -PVN terminals with a cannula implanted in the PVN for aCSF, CNQX +AP5, or Devazepide +L-365 260 delivery. Scale bar, 100 μm. (G) Representative image showing the ChR2-EYFP expression in the LPB of a Cck-cre mouse. Scale bar, 100 μm. (H) Representative image showing the cannula placement in the PVN from a ChR2-EYFP expressing Cck-cre mouse. Scale bar, 100 μm. (I–K) Microinjection of the glutamate receptor antagonists (CNQX +AP5), rather than CCK receptor antagonists (Devazepide +L-365260), into the PVN increased the latency to the nest and reduced the hiding time in the nest (ACSF: n = 6 mice, CNQX +AP5: n = 6 mice, Devazepide +L-365260: n = 5 mice; for latency, F(2,14) = 7.658, p = 0.057; One-way ANOVA; for speed, F(2,14) = 11.49, p = 0.0011; for time in the nest, One-way ANOVA; F(2,14) = 16.44, p = 0.0002; One-way ANOVA). (L) Schematic diagram of optogenetic activation of PVNVglut2 neurons. (M) Representative image showing the ChR2-EYFP expression and optical fiber tip locations in the PVN of a Vglut2-cre mouse. Scale bar, 100 μm. (N–P) Optogenetic activation of PVNVglut2 neurons reduced the latency, increased the speed of animals towards a nest and the time in the nest. (EYFP: n = 6 mice, ChR2: n = 6 mice; for latency, p = 0.0065, U = 2; Mann-Whitney test; for speed, p = 0.0221, t = 2.705, df = 10; unpaired t test; for time in the nest, p = 0.022, U = 0; Mann-Whitney test). (Q) Graphical summary showing the LPBCCK-PVN pathway in mediating defensive behaviors.

Figure 6—source data 1

Quantification of the flight-to-nest behavior upon manipulation of PVN neurons.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig6-data1-v1.xlsx
Figure 6—source data 2

Maps for virus expression and optical fiber location.

https://cdn.elifesciences.org/articles/85450/elife-85450-fig6-data2-v1.docx

LPBCCK neurons may release either glutamate or neuropeptide CCK to induce the defensive behavior. To determine which neurotransmitter or modulator is engaged in the above responses, we combined pharmacologic with optogenetic manipulation. Two types of CCK receptors are present in the central nervous system and Cckar is widely distributed throughout the PVN, whereas the expression of Cckbr in PVN is low (Figure 6—figure supplement 1A–B). We infused glutamate receptor antagonists (CNQX +AP5), CCK receptor antagonists (Devazepide +L-365,260), or artificial cerebrospinal fluid (ACSF) through an implanted cannula 30 min before optogenetic activation of LPBCCK neurons (Figure 6F–H). We found that blocking glutamate receptors induced a longer latency, slower speed in returning to the nest, along with reduced hiding time in the nest (Figure 6I–K), when compared with ACSF-treated mice. However, blocking CCK receptors showed no significant effects (Figure 6I–K). These results suggest that glutamatergic transmission from LPBCCK neurons to the PVN mediates defensive-like flight-to-nest behavior.

Photostimulation of PVNVglut2 neurons promotes defensive-like flight-to-nest behavior

Of note, PVN neurons are mostly glutamatergic (Vong et al., 2011; Xu et al., 2013). We further assessed whether optogenetic activation of PVNVglut2 neurons elicit defensive-like behavior (Figure 6L–M). We found that optogenetic activation of PVNVglut2 neurons also induced flight-to-nest behavior (latency: EYFP, 127.5 ± 22.5 s vs. ChR2, 12.83 ± 2.937 s; speed: EYFP, 142.4 ± 32.07% vs. ChR2, 384.4% ± 83.52%), followed by longer hiding time in the nest (EYFP, 0.2783% ± 0.2783% vs. ChR2, 61.11% ± 17.58%) (Figure 6N–P), compared to the control. These data suggest that optogenetic activation of PVNVglut2 neurons was sufficient to evoke defensive-like flight-to-nest behavior.

PVNCRH neurons have recently been shown to predict the occurrence of defensive behaviors in mice (Daviu et al., 2020). Interestingly, optogenetic activation of the LPBCCK-PVN pathway primarily activated PVNCRH neurons, rather than vasopressin or oxytocin neurons (Figure 6—figure supplement 1C–F). However, optogenetic activation of PVNCRH neurons was not sufficient to drive defensive-like flight-to-nest behavior (Figure 6—figure supplement 1G–K; latency: EYFP, 77 ± 20.69 s vs. ChR2, 90.17 ± 22.03 s; speed: EYFP, 156.6 ± 22.59% vs. ChR2, 217.2% ± 61.54%; time in the nest: EYFP, 20.95% ± 13.89% vs. ChR2, 35.28% ± 20.48%).

Discussion

Defensive behaviors are actions that are naturally selected to avoid or reduce potential harm for the survival of animal species. While emerging evidence has suggested that LPB are associated with sensation of danger signals and aversive stimuli (Campos et al., 2018; Han et al., 2015b), we found that LPBCCK neurons were actively recruited upon exposure to various predatory stimuli. Activating LPBCCK neurons triggers aversive-like avoidance and defensive-like flight responses, whereas inhibition of these neurons suppressed predatory stimuli-induced defensive behaviors. Inhibition of downstream PVN neurons attenuated photoactivation of LPBCCK-PVN terminals-promoted flight responses, suggesting that LPBCCK-PVN pathway is important for the regulation of defensive responses. Our study thus reveals a new connection from the brainstem to the hypothalamus to regulate innate defensive behaviors (Figure 6Q).

Hippocampal and cortical CCK-expressing neurons have been thought of mainly GABAergic (Liu et al., 2020; Sun et al., 2020a; Whissell et al., 2015). We found that LPBCCK neurons are predominantly glutamatergic, similar to those in the amygdala (Shen et al., 2019). While the roles of LPBCGRP neurons have been associated with the passive defensive responses (Han et al., 2015b; Keay and Bandler, 2001), we show that activation of LPBCCK neurons primarily triggers active defensive responses, such as flight-to-nest behavior (Keay and Bandler, 2001). The fact that CGRP and CCK neurons are spatially segregated, responsive to distinct threat signals and involved in different defensive responses, indicating that LPB acts as an important integration center or hub to gate defensive responses when animals encounter different threats (Liu et al., 2022; Tokita et al., 2009). It would be interesting to investigate whether LPBCCK and LPBCGRP neurons coordinately regulate defensive responses under different threatening situations.

In vivo calcium imaging showed that LPBCCK neurons increase firing upon exposure to predators and/or predatory cues, which occurs before the initiation of an escape behavior. These findings indicate that LPBCCK neurons may produce a preparatory signal before the escape initiation, which allows the downstream targets to further assess the threat signals, plan escape routes and take appropriate motor actions. LPBCCK neurons are well positioned to play such an important role in linking the imminent threat to escape initiation, as they receive inputs from both the peripheral and visceral sensory system and project to many brain regions involved in defensive responses including the hypothalamus, PVT and PAG (Cooper and Blumstein, 2015; Ellard and Eller, 2009; Han et al., 2015b; Krout and Loewy, 2000; Saper and Loewy, 1980; Sun et al., 2020b; Tokita et al., 2009). While PVNCRH or PAGCCK neurons have also been shown to be recruited during flight, their peak activity did not match the flight initiation, but occurred during flight (Daviu et al., 2020; La-Vu et al., 2022). The peak activities of LPBCCK neurons at the onset of escape suggest that LPBCCK neurons likely gate and instruct the escape rather than directly control locomotive behaviors.

Despite many early studies mapping downstream projections for LPB neurons (Han et al., 2015a; Saper and Loewy, 1980; Sun et al., 2020b), we are the first to demonstrate that LPBCCK neurons directly connect with PVN neurons. Direct projections from the brainstem to the hypothalamus for the escape responses may be more conducive to escape in emergency situations. Besides the PVN, we also observed that LPBCCK neurons project to the PVT, VMH and PAG, which have also been associated with aversion and/or defensive behaviors (LeDoux, 2012; Vianna et al., 2001; Wang et al., 2015). It would be interesting to further investigate how these different downstream areas coordinately contribute to defensive responses.

PVN is important for neuroendocrine and autonomous regulation (Canteras et al., 2001; Coote, 2005; Ferguson et al., 2008; Sutton et al., 2016). While earlier c-fos staining analyses suggest that PVN neurons are activated in response to different threat stimuli (Canteras et al., 2001; Faturi et al., 2014; Martinez et al., 2008; Staples et al., 2008), it remains unclear whether they are only involved in neuroendocrine responses or also defensive behaviors. Increasing evidence has demonstrated that PVN neurons play important roles in defensive behaviors independent of hormonal actions (Daviu et al., 2020; Mangieri et al., 2019; Xu et al., 2019). Sim1, as a specific marker of PVN, studies have reported that photoactivation of PVNSim1 neurons induced defensive responses (Mangieri et al., 2019). Our findings support a role for PVN neurons in mediating behavioral responses, as photoactivation of PVNVglut2 neurons promoted flight-to-nest behavior. Intriguingly, stimulating the LPBCCK-PVN pathway promoted flight-to-nest behaviors but activating of PVNCRH neurons did not induce apparent flight-to-nest behaviors. Since PVNCRH neurons receive multiple inputs and activation of the PVNCRH neurons have been shown to induce aversion (Kim et al., 2019), future studies using input-specific activation of PVNCRH neuronal subpopulations would further dissect the role of LPBCCK- PVNCRH pathway in defensive responses. Future studies using additional projection-specific approaches and more genetically defined cell tools may help resolve this problem.

Our data show that activation of LPBCCK neurons drives aversion, defensive and anxiety-like behaviors, evoking an arousal and stressed states. Fear, anxiety and stress responses are closely associated with mental illnesses with dysregulated neural circuits (Blanchard et al., 2001). It is worth further investigation to examine whether alterations of the LPBCCK-PVN pathway are implicated in these diseases and whether manipulation of this pathway might be an effective strategy for therapeutic targeting.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain background (Mus musculus)Cck-ires-cre(Ccktm1.1(cre)Zjh/J)The Jackson LaboratoryJAX012706
Strain, strain background (Mus musculus)Crh-ires-cre (B6(Cg))-Crhtm1(cre)Zjh/JThe Jackson LaboratoryJAX012704
Strain, strain background (Mus musculus)Vglut2-ires-Cre (Slc17a6tm2(cre)Lowl/J)The Jackson LaboratoryJAX 016963
Strain, strain background (Mus musculus)Ai14 (B6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J)The Jackson LaboratoryJAX007908
Strain,
strain
background
(Rattus norvegicus)		SDShanghai
SLAC
Laboratory
Animal Co.
Ltd		http://www.slaccas.com/
Strain, strain background (Mus musculus)C57BL/6 JShanghai SLAC Laboratory Animal Co. Ltdhttp://www.slaccas.com/
AntibodyAnti-Dsred, rabbit polyclonalTakaraCat# 632496
RRID: AB_10013483		(1:800)
AntibodyAnti-CGRP, mouse monoclonalAbcamCat# 81887
RRID: AB_1658411		(1:800)
AntibodyAnti-GFP, goat polyclonalAbcamCat# 5450
RRID: AB_304896		(1:500)
AntibodyAnti-CRH, rabbit polyclonalPhoenix BiotechCat# H-019–06(1:500)
AntibodyAnti-c-fos,
Guinea pig polyclonal		Synaptic SystemsCat# 226004
RRID: AB_2619946		(1:10,000)
AntibodyAlexa Fluor 488 donkey anti-guinea pig IgG (H+L) polyclonalJacksonCat#112-486-068
RRID: AB_2617153		(1:1000)
AntibodyAlexa Fluor 555 donkey anti-rabbit IgG (H+L) polyclonalInvitrogenCat#A31572
RRID: AB_162543		(1:1000)
AntibodyAlexa Fluor 488 donkey anti-mouse IgG (H+L) polyclonalInvitrogenCat# R37114
RRID: AB_2556542		(1:1000)
AntibodyAlexa Fluor 488 donkey anti-goat IgG (H+L) polyclonalInvitrogenCat# A11055
RRID: AB_2534102		(1:1000)
AntibodyAlexa Fluor 488 donkey anti-rabbit IgG (H+L) polyclonalJacksonCat# R37118
RRID: AB_2556546		(1:1000)
Commercial assay or kitRNAscope Multiplex Fluorescent Reagent Kit v2Advanced Cell DiagnosticsCat# 323100
Sequence-based reagentRNAscope probe Slc17a6Advanced Cell Diagnosticsaccession
number NM_080853.3		probe region
1986–2998
Sequence-based reagentRNAscope probe Slc32a1Advanced Cell DiagnosticsAccession
number NM_009508.2		probe region
894–2037
Sequence-based reagentRNAscope probe CckarAdvanced Cell Diagnosticsaccession
number NM_009827.2		probe region
328–1434
Sequence-based reagentRNAscope probe CckbrAdvanced Cell Diagnosticsaccession
number NM_007627.4		probe region
136–1164
Chemical compound, drugCNQX disodium salt hydrateSigma-AldrichCat#1045
Chemical compound, drugDevazepideSigma-AldrichCat#2304
Chemical compound, drugClozapine N-oxideSigma-AldrichCat#C0832
Chemical compound, drugL-365,260Sigma-AldrichCat#143626
Chemical compound, drugDAPISigma-AldrichN/A
Chemical compound, drugTween-20Sigma-AldrichN/A
Strain, strain background (AAV2/9)AAV2/9-hEF1a-DIO-hChR2(H134R)-EYFP-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0199-9Viral titers: 2.95x1013 particles/ml
Strain, strain background (AAV2/9)AAV2/9-hEF1a-DIO-EYFP-WPRE-pAShanghai Taitool Bioscience Co.Cat#S0196-9Viral titers:1.0x1012 particles/ml
Strain, strain background (AAV2/9)AAV2/9-CAG-DIO-hGtACR1-P2A-EGFP-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0311-9Viral titers:5×1013 particles/ml
Strain, strain background (AAV2/9)rAAV2/9-hSyn-DIO-mGFP-2A-Synaptophysin-mRubyShanghai Taitool Bioscience Co.Cat# S0250-9Viral titers:1.55x1013
particles/ml
Strain, strain background (AAV2/2)rAAV2/2-Retro-hEF1a-DIO-EYFP-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0196-2RViral titers: 2.52x1013 particles/ml
Strain, strain background (AAV2/9)AAV2/9-hSyn-mCherry-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0238-9Viral titers:≥1.0 × 1013 particles/ml
Strain, strain background (AAV2/9)AAV2/9-hSyn-hM4D(Gi)-mCherry-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0279-9Viral titers:≥1.0 × 1013 particles/ml
Strain, strain background (AAV2/9)AAV2/9-hsyn-DIO-jGCaMP7s-WPRE-pAShanghai Taitool Bioscience Co.Cat# S0590-9Viral titers:≥1.0 × 1013 particles/ml
Software, algorithmANY-Maze software 5.3Global Biotech Inchttp://www.anymaze.co.uk/
Software, algorithmImage JNIHhttps://imagej.nih.gov/ij/index.html;%20
RRID:SCR_003070
Software, algorithmGraphPad Prism 6GraphPad Softwarehttps://www.graphpad.com/scientificsoftware/prism/;
RRID: SCR_002798
Software, algorithmMatLab R2016aMathWorkshttps://www.mathworks.com/products.html;
RRID:SCR_001622

Animals

Cck-ires-cre (Ccktm1.1(cre)Zjh/J; Stock No. 012706), Crh-ires-cre (B6(Cg)-Crhtm1(cre)Zjh/J; Stock No. 012704), Vglut2-ires-cre (Slc17a6tm2(cre)Lowl/J; Stock No. 016963), Ai14 (B6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J; Stock No. 007908), C57BL/6 mice and SD rats were obtained from the Shanghai Laboratory Animal Center. Adult male mice and SD rats were used in our study. Mice and rats housed at 22 ± 1 °C and 55 ± 5% humidity on a 12 hr light/12 hr dark cycle (light on from 07:00 to 19:00) with food and water ad libitum. All experimental procedures were approved by the Animal Advisory Committee at Zhejiang University and were performed in strict accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals. All surgeries were performed under sodium pentobarbital anesthesia, and every effort was made to minimize suffering.

Immunohistochemistry

Animals were transcardially perfused with saline and 4% PFA. Brains were post-fixed overnight in 4% PFA at 4 °C, followed by immersed in 30% sucrose solution. Coronal sections (40 μm) were cut by a CM1950 Microtome (Leica). Immunostaining was performed as previously described (Zhang et al., 2018). The brain slices were permeabilized in 0.5% Triton X-100 in Tris-buffered saline, blocked with 100 mM glycine and 5% bovine serum albumin (BSA) containing 5% normal donkey serum. Tissue sections were subsequently incubated with diluted primary and secondary antibodies as indicated, nuclei stained with 6-diamidino2-phenylindole (DAPI), and slides mounted with antifade reagents. The primary antibodies used were: Guinea pig anti-c-fos (Synaptic Systems, Cat# 226004), Rabbit anti-Dsred (Takara, Cat# 632496), Goat anti-GFP (Abcam, Cat# 5450), Mouse anti-CGRP (Abcam, Cat# 81887). Slides were imaged with a confocal microscope (Olympus FluoView FV1200).

RNAscope in situ hybridization

We used RNAscope multiplex fluorescent reagent kit and designed probes (ACDBio Inc) to perform fluorescence in situ hybridization. Mouse brain tissue was sectioned into 20 μm sections by cryostat (Leica CM 1950). Then sections were mounted on slides and air-dried at room temperature. Subsequently, the sections were dehydrated in 50% EtOH, 70% EtOH, and 100% EtOH for 5–10 min each time and air-dried at room temperature again. Thereafter, protease digestion was performed in a 40 °C HybEZ oven for 30 min pretreatment, slides were hybridized with pre-warmed probe in a 40 °C HybEZ oven for 2 hr. Probes used in our paper were: Slc17a6 probe (VGLUT2, accession number NM_080853.3, probe region 1986–2998), Slc32a1 probe (VGAT, accession number NM_009508.2, probe region 894–2037), Cckar probe (accession number NM_009827.2, probe region 328–1434), Cckbr probe (accession number NM_007627.4, probe region 136–1164). After hybridization, the brain sections went through four steps of signal amplification fluorescent label. Anti-DsRed or GFP staining was performed after the RNAscope staining. Slides were imaged with a confocal microscope (Olympus FluoView FV1200).

Stereotaxic injections and optical fiber/cannula implantation

For surgical procedures, mice were anaesthetized with sodium pentobarbital (0.1 g/kg) and placed in a stereotaxic apparatus (RWD). Stereotaxic surgery was performed as described. Briefly, holes were made into the skull over the target areas to inject the virus with glass pipettes (diameter 10–15 mm) or to implant optical fibers (outer diameter [o.d.]: 200 μm; length: 6.0 mm, 0.37 NA; Inper) or to implant of guide cannula (outer diameter [o.d.]: 0.41 mm; RWD). The coordinates relative to bregma were as follows according to the Paxinos and Franklin (2001) atlas. For all experiments, mice with incorrect injection sites were excluded from further analysis.

For optical activation of LPBCCK neurons, AAV2/9-hEF1a-DIO-hChR2(H134R)-EYFP-WPRE-pA (viral titers: 2.95×1013 particles/ml; Taitool Bioscience) or AAV2/9-hEF1a-DIO-EYFP-WPRE-pA (viral titers: 1.0×1012 particles/ml; Taitool Bioscience) virus was unilaterally microinjected into the LPB (AP: –4.8; ML: –1.35; DV: –3.4; mm relative to bregma) of Cck-cre mice. The virus was diluted into 5.9×1012 genomic copies per ml with phosphate-buffered saline (PBS) before use and injected with 65 nl into the LPB. Virus was delivered at a flow rate of 10 nl/min. The glass capillary was left in place for an additional 10 min after injection to allow diffusion of the virus. The cannulas were held in place with dental cement above the LPB (AP: –4.8; ML: –1.35; DV: –3.2; mm relative to bregma).

For optical activation of PVNVglut2 neurons, AAV2/9-EF1a-DIO-hChR2-EYFP (viral titers: 2.95×1013 particles/ml; Taitool Bioscience) or AAV2/9-EF1α-DIO-EYFP (viral titers: 1.0×1012 particles/ml; Taitool Bioscience) virus was unilaterally microinjected into the PVN (AP: –0.4; ML: –0.15; DV: –4.95; mm relative to bregma) of Vglut2-cre mice. The virus was diluted into 2.0×1012 genomic copies per ml with PBS before use and injected with 70 nl into the PVN. Virus was delivered at a flow rate of 15 nl/min. The glass capillary was left in place for an additional 10 min after injection to allow diffusion of the virus. The cannulas were held in place with dental cement above the PVN (AP: –0.4; ML: –0.15; DV: –4.7; mm relative to bregma).

For optical activation of PVNCRH neurons, AAV2/9-EF1a-DIO-hChR2-EYFP (viral titers: 2.95×1013 particles/ml; Taitool Bioscience) or AAV2/9-EF1α-DIO-EYFP (viral titers: 1.0×1012 particles/ml; Taitool Bioscience) was unilaterally microinjected into the PVN (AP: –0.4; ML: –0.15; DV: –4.95 mm relative to bregma) of Crh-cre mice. The virus was diluted into 4.0×1012 genomic copies per ml with PBS before use and injected with 75 nl into the PVN. Virus was delivered at a flow rate of 15 nl/min. The glass capillary was left in place for an additional 10 min after injection to allow diffusion of the virus. The cannulas were held in place with dental cement above the PVN (AP: –0.4; ML: –0.15; DV: –4.7; mm relative to bregma).

For optical inhibition of LPBCCK neurons, AAV2/9-EF1α-DIO-hGtACR1-P2A-eYFP-WPRE (viral titers: 5×1013 particles/ml; Taitool Bioscience) or AAV2/9-hEF1a-DIO-EYFP-WPRE-pA (viral titers: 1.0×1012 particles/ml; Taitool Bioscience) virus was bilaterally infused to the LPB (AP: –4.8; ML: –1.35; DV: –3.4; mm relative to bregma) of Cck-cre mice. The virus was diluted into 1.67×1012 genomic copies per ml with PBS before use and injected with 70 nl into the LPB. Optical fibers were bilaterally implanted at an angle of 5° above the LPB (AP: –4.8; ML: –1.72; DV: –2.94; mm relative to bregma).

In order to study the downstream of LPBCCK neurons, AAV2/9-hSyn-DIO-mGFP-2A-Synaptophysin-mRuby (viral titers: 1.55×1013 particles/ml; Taitool Bioscience) virus was unilaterally injected into the LPB (AP: –4.8 mm; ML: –1.35 mm; DV: –3.4 mm) of Cck-cre mice; in order to study the source of CCKergic upstream of PVN, AAV2/2-Retro-hEF1a-DIO-EYFP-WPRE-pA (viral titers: 2.52×1013 particles/ml; Taitool Bioscience) virus was unilaterally injected into the PVN (AP, –0.4 mm; ML, –0.2 mm; DV, –4.85 mm) of Cck-cre mice.

For LPBCCK-PVN axon terminal stimulation, AAV2/9-hEF1a-DIO-hChR2(H134R)-EYFP-WPRE-pA (viral titers: 2.95×1013 particles/ml; Taitool Bioscience) or AAV2/9-hEF1a-DIO-EYFP-WPRE-pA (viral titers: 1.0×1012 particles/ml; Taitool Bioscience) virus was unilaterally microinjected into the LPB (AP: –4.8; ML: –1.35; DV: –3.4; mm relative to bregma) of Cck-cre mice. The virus was diluted into 5.9×1012 genomic copies per ml with PBS before use and injected with 65 nl into the LPB. After the virus was expressed for 2 weeks, for LPBCCK-PVN axon terminals stimulation, optical fibers were unilaterally implanted above the PVN (AP: –0.4; ML: –0.2; DV: –4.7; mm relative to bregma).

For pharmacological experiments (procedures of optical activation of LPBCCK neurons have been mentioned above), drug cannulas were ipsilaterally implanted into the PVN (AP, –0.4 mm; ML, –0.2 mm; DV, –4.7 mm).

For prolonged inhibition of PVN neurons, AAV2/9-hSyn-mCherry-WPRE-pA (viral titers:≥1.0 × 1013 particles/ml; Taitool Bioscience) or AAV2/9-hSyn-hM4D(Gi)-mCherry-WPRE-pA (viral titers:≥1.0 × 1013 particles/ml; Taitool Bioscience) virus was microinjected into the PVN (AP, –0.4 mm; ML, –0.2 mm; DV, –4.85 mm) of Cck-cre mice.

For fiber photometry experiments, AAV2/9-hSyn-DIO-GCaMP7s-WPRE virus (viral titers: 2.0×1012 particles/ml; Taitool Bioscience) were injected into the LPB of CCK-ires-Cre mice. After two weeks, an optical fiber was implanted into the LPB, then each mouse was allowed to recover for 1 week before recording. Each mouse was handled for 3 days prior to fiber photometry recording.

Fiber photometry

Mice were allowed to recover from surgery for at least 7 days before the behavioral experiments. The fiber photometry system (RWD Life Science Co., Ltd, China) was used for recording fluorescence signal (GCaMP7s and isosbestic wavelengths) which produced by an exciting laser beam from 470 nm LED light and 410 nm LED light. Calcium fluorescence signals were acquired at 60 Hz with alternating pluses of 470 nm and 410 nm light. The power at the end of the optical fiber (200 μm, 0.37NA, 2 m) was adjusted to 20 μW. Recording parameters were set based on pilot studies that demonstrated the least amount of photobleaching, while allowing for the sufficient detection of the calcium response. We used the camera for behavioral video recordings to synchronize calcium recordings. On the experimental day, mice were allowed to acclimate in the home cage for 30 min. Regarding quantification, the filtered 410 nm signal was aligned with the 470 nm signal by using the least-square linear fit. ΔF/F was calculated according to (470 nm signal-fitted 410 nm signal)/(fitted 410 nm signal). And the standard z-score calculation method is used, that is, Z-score = (x-mean)/std, x = △F/F. During the behavior experiments, the GCaMP7s fluorescence intensity was recorded.

In vivo optogenetic manipulation

For optogenetic manipulation experiments, an implanted fiber was connected to a 473 nm laser power source (Newdoon Inc, Hangzhou, China). The power of the blue (473 nm; Newdoon Inc, Hangzhou, China) was 0.83–3.33 mW mm2 as measured at the tip of the fiber. 473 nm laser (ChR2: power 5–15 mW, frequency 20 Hz, pulse width 5ms; GtACR1: power 15 mW, direct current) was supplied to activate or inhibit neurons, respectively.

Pharmacological antagonism

Antagonists were delivered 30 min before optical activation of LPBCCK neurons. For blocking glutamatergic neurotransmission, we firstly connected guiding cannula with a Hamilton syringe via a polyethylene tube. Then we infused 0.25 μl mixed working solution containing CNQX disodium salt hydrate (0.015 μg; Sigma-Aldrich), a glutamate AMPA receptor antagonist, and AP5 (0.03 μg; Sigma-Aldrich), a NMDA receptor antagonist, into the PVN with a manual microinfusion pump (RWD, 68606) over 5 min. For blocking CCKergic neurotransmission, 0.25 μl mixed solution containing Devazepide (0.0625 μg; Sigma-Aldrich), a Cckar receptor antagonist, and L-365,260 (0.0625 μg; Sigma-Aldrich), a Cckbr receptor antagonist, was infused into the PVN over a period of 5 min. To prevent backflow of fluid, the fluid-delivery cannula was left for 10 min after infusion.

Chemogenetic manipulation

Clozapine Noxide (CNO, Sigma) was dissolved in saline (5 mg in 10 µL DMSO and 190 µL 0.9% NaCl solution). CNO was injected intraperitoneally at 0.3 mg per kg of body weight for chemogenetic manipulation.

c-Fos staining and analysis

For c-fos quantification, mice were perfused 1.5 hr after 10 min blue photostimulation illumination, and sections were cut. The boundaries of the nuclei were defined according to brain atlases Mouse Brain Atlas (Franklin and Paxinos, 2008). Cell counting was carried out manually.

Behavioral task

For all behavioral tests, experimenters were blinded to genotypes and treatments. Mice were handled daily at least seven days before performing behavioral tests. All the apparatuses and cages were sequentially wiped with 70% ethanol and ddH2O then air-dried between stages. At the end of behavioral tests, mice were perfused with 4% PFA followed by post hoc analysis to confirm the viral injection sites, optic fiber and cannula locations. Mice with incorrect viral injection sites, incorrect positioning of optical fibers or cannula were excluded.

Real-time place aversion test

Mice were habituated to a custom-made 20×30 × 40 cm two-chamber apparatus (distinct wall colors and stripe patterns) before the test. First stage: each mouse was placed in the center and allowed to explore both chambers without laser stimulation for 10 min. After exploration, the mouse indicated a small preference for one of the two chambers. Second stage: 473 nm laser stimulation (20 Hz, 8 mW, 5ms) was delivered when the mouse entered or stayed in the preferred chamber, and the light was turned off when the mouse moved to the other chamber for 10 min.

Flight-to-nest test

Flight-to-nest test was performed using previously described methods (Zhou, Z., et al, 2019). Flight-to-nest test was performed in a 40×40 × 30 cm closed box with a 27-inch LED monitor stationed on top to display the stimulus. A nest in the shape of a 20 cm wide ×12 cm high triangular prism was in the corner of the closed Plexiglas box. There are two cameras, one from the top, one from the side (Logitech) that record the mouse’s activity simultaneously. Briefly, on day 1, the mice were habituated to the box conditions for 15 min. On day 2, the mice were first allowed to explore the box for 5–10 min. When the mice were in the corner furthest from the nest and within in a body-length distance from the wall, they were given optical stimulus. For optogenetic activation of LPBCCK neurons or LPBCCK-PVN experiments, mice received a 20 s 473 nm blue laser (frequency 20 Hz, pulse width 5ms) with 15–20 mW (terminal) or 5–10 mW (soma) light power at the fiber tips. For prolonged inhibition of PVN neurons, Clozapine Noxide (CNO, Sigma-Aldrich) was dissolved in saline to a concentration of 3 mg/ml. The flight-to-nest test was performed 1.5 hr after CNO intraperitoneally injection.

Flight-to-nest behavioral analysis

The behaviors of the mice were recorded and analyzed automatically with Anymaze software (Global Biotech Inc). Behavioral analysis was performed as previously described (Zhou, Z., et al, 2019). Flight-to-nest behavior was characterized on the basis of the three aspects: latency to return nest, speed (% of baseline speed), time spent in nest (% of 2 min). Latency to return nest refers to the moment from optical stimulus onset to moment when the mouse first went into the nest. Speed (% of baseline speed) refers to the ratio of the post-stimulation speed to the baseline speed. We recorded the speed of the mice in the 50 s before photostimulation presentation as the baseline speed. The post-stimulation speed was record from the time of stimulation to 15 s after. It was averaged over a 1 s time window centered on the maximum speed. Time spent in nest (% of 2 min) refers to the time from mouse’s body was first completely under the shelter after photostimulation to the time when the mouse left the nest.

Open-field test

The open-field chamber was made of plastic (50 × 50 × 50 cm). At the start of the test, mice were placed in the periphery of the open-field chamber. The open-field test lasted 5 min.

Elevated plus-maze test

The elevated plus maze was made of plastic with two open arms (30 × 5 cm), two closed arms (30 × 5 × 30 cm) and a central platform (5 × 5 × 5 cm). At the beginning of the experiments, mice were placed in the center platform facing a closed arm. The elevated plus-maze test lasted 5 min.

Heart rate measurements

Heart rate was measured via a pulse oximeter (MouseOx Plus; Starr Life Sciences). Mice were placed in the home cage with a detector fixed around the neck. After habituation for 10 min, heart rate was simultaneously measured for 10 min while intermittent 2 min period blue light was applied. Each mouse was tested three times, and the mean heart rate was calculated. Heart rate data was analyzed with the MouseOx Plus Conscious Applications Software.

Pupil size measurements

Mice were adapted to constant room light (100 lx) for 1 hr before testing. Mice were kept unanaesthetized and restrained in a stereotaxic apparatus during the experiment. The pupil size was recorded using Macro module camera under constant light conditions before stimulation, during stimulation, and after stimulation. The test lasted 90 s, consisting of 30 s light off-on-off epochs. The pupil size was later measured by Matlab software.

Heat exposure assay

We used a translucent plastic box (38×25 cm) divided into two parts, the smaller part is the unheated comfortable zone (5×25 cm), and the larger part with rubber heating pad is the hot uncomfortable zone (33×25 cm). The rubber heating pad was heated to 43℃, and the heat insulated pad was placed in the comfortable zone to avoid the heat. The heating temperature 43℃ was chosen because it would cause heat escape but not heat pain (Wang et al., 2021b; Weisheng et al., 2021).

Rat exposure assay

We used a rectangular chamber (70×25 × 30 cm). Mice were acclimated to this environment for three days for 10 min each day. During the rat exposure period, a live rat was restrained to one end of the chamber using a harness attached to the chamber wall. As a control, before a live rat exposure, we exposed mice to a toy rat during fiber photometry recording (similar in size and shape to a live rat). For fiber photometry recordings, all mice underwent rat exposure for 20 min. For photoinhibition tests, mice were exposed to live rat and all trials lasted 10 min.

Looming test

The looming test was performed in a closed Plexiglas box (40×40 × 30 cm) with a shelter in the corner. For looming stimulation, an LCD monitor was placed on the ceiling to present multiple looming stimuli, which was a black disc expanding from a visual angle of 2° to 20° in 0.5 s. The expanding disc stimulus was repeated for 20 times in quick succession and each repeat is followed by a 0.15 s pause. Animals were habituated for 10–15 min in the looming box one day before testing. During the looming test, mice were first allowed to freely explore for 3–5 min. For calcium signal experiment, total five trials of looming stimuli were presented and analyzed. Behavior was recorded for 20 min. For photoinhibition tests, light stimulation was given 1 s before the looming stimulus appears and continue until the looming stimulus ends.

TMT odor test

During this test, all mice were habituated to the testing environment for three days before any experimental manipulation. For the photometry studies involving odor presentations, mice were placed on a plastic chamber (30×30 × 20 cm). A dish (diameter, 5 cm) with cotton was positioned on the side beside the chamber. When TMT (Ferro Tec, 4 µl of 100%) was used as the stimulus, cotton was first wetted with the equivalent volume of 0.1 M PBS. After a habituation period, the dish was replaced with a new one scented with the TMT. The mice were free to explore in the chamber, and behavior was recorded for 20 min.

Measurements of corticosterone

Blood samples were collected to determine the hormone levels. Taking Blood was performed in the morning by rapidly collecting heart blood after anesthetization. We immediately collected blood after 10 min of light stimulation ( 20 Hz, 5ms pulse width, 15 s per min, 473 nm). Blood samples were temporarily placed in iced plastic tubes coated with heparin. All serum was prepared after every blood sample was centrifuged at 2000 g for 2.5 min at 4 °C. Supernatant was collected and plasma corticosterone concentration was measured using commercially-available ELISA kits (Enzo ADI-900–097).

In vitro electrophysiology

Each mouse was anesthetized with pentobarbital sodium (100 mg/kg, i.p.) and decapitated. Then the whole brain was quickly dissected into ice-cold oxygenated (95% O2 and 5% CO2) artificial cerebrospinal fluid (aCSF) (93 mM N-methyl-D-glucamine, 2.5 mM KCl, 1.2 mM NaH2PO4, 20 mM HEPES, 25 mM D-glucose, 30 mM NaHCO3, 10 mM MgSO4, 0.5 mM CaCl2, 5 mM sodium ascorbate, 3 mM sodium pyruvate, and 1 mM kynurenic acid), followed by cutting coronally into 300 μm slices on a microtome (VTA-1200S; Leica). Slices containing the LPB were transferred to a similar solution (93 mM NaCl, 2.5 mM KCl, 1.2 mM NaH2PO4, 20 mM HEPES, 25 mM D-glucose, 30 mM NaHCO3, 2 mM MgSO4, 2 mM CaCl2，5 mM sodium ascorbate, 3 mM sodium pyruvate, and 1 mM kynurenic acid), and incubated for at lowest 1 h at room temperature (24–26℃). Then the brain slices were transferred to a recording chamber attached to the fixed stage of an BX51WI microscope (Olympus) (solution containing: 125 mM NaCl, 3 mM KCl, 1.25 mM NaH2PO4, HEPES, 10 mM D-glucose, 26 mM NaHCO3, 2 mM MgSO4 and 2 mM CaCl2). Patch glass electrodes were pulled from borosilicate capillaries (BF150-86-10; Sutter Instrument Co, Novato, CA, USA) and filled with artificial intracellular fluid following component: 135 mM CsMeSO3, 10 mM HEPS, 0.5 mM EGTA, 3.3 mM QX-314, 4 mM Mg-ATP, 0.3 mM Na2-GTP, 8 mM Na2-Phosphocreatine. Whole-cell voltage-clamp recordings were made with a MultiClamp 700B amplifier (Molecular Devices). To tested the efficacy of ChR2-mediated activation, LED-generated blue light pulses were applied to recorded neurons using 4 different frequencies (5, 10, 20, and 40 Hz). To test the effects of photoactivation of LPBCCK projection terminals within PVN, blue light pulses were applied to the recorded PVN neurons. To confirm that postsynaptic currents were monosynaptic, the blue light-evoked currents were recorded in the presence of ACSF (Ctrl), TTX (1 μM) and 4-AP (100 μM). To confirm that postsynaptic currents were monosynaptic. CNQX (20 μM) and AP5 (50 μM) were perfused with ACSF to examine the neurotransmitter type used on LPBCCK-PVN projection. Signals were low-pass filtered at 10 kHz and digitized at 10 kHz (MICRO3 1401, Cambridge Electronic Design). Data were acquired and analyzed using Spike2 7.04 software (Cambridge Electronic Design).

Quantification and statistical analysis

All data analyses were conducted blinded. All statistical analyses were performed with GraphPad Prism (version 7.0) and analyzed by Unpaired Student’s t-tests, one-way ANOVA, two-way ANOVA according to the form of the data. Nonparametric tests were used if the data did not match assumed Gaussian distribution. Animals were randomly assigned to treatment groups. All data were presented as Mean ± SEM, with statistical significance taken as *p<0.05, **p<0.01 and ***p<0.001.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting file. Source data files have been uploaed.

References

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    Coordination of escape and spatial navigation circuits orchestrates versatile flight from threats
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Decision letter

  1. Jun Ding
    Reviewing Editor; Stanford University, United States
  2. Kate M Wassum
    Senior Editor; University of California, Los Angeles, United States

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Decision letter after peer review:

[Editors’ note: the authors submitted for reconsideration following the decision after peer review. What follows is the decision letter after the first round of review.]

Thank you for submitting the paper "A Parabrachial to Hypothalamic Neurocircuit Mediates Defensive Behavior" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and a Senior Editor. The reviewers have opted to remain anonymous.

Comments to the Authors:

We are sorry to say that, after consultation with the reviewers, we have decided that this work will not be considered further for publication by eLife.

Specifically, all reviewers feel that the current study did not convincingly reveal the endogenous function of the LPBCCK to PVHglut pathway. In addition, the major conclusions are not fully supported by the experimental data.

However, if you can fully address the reviewer's concerns, we would be happy to encourage you to submit a revised manuscript as a new submission. We hope that you will find the reviewers' comments to be constructive and if you have any questions about the reviews please let us know.

Reviewer #1 (Recommendations for the authors):

The behavioral results of optogenetic activation are overall robust. However, the role of the cells in the defense circuit remains unclear due to a lack of information regarding the endogenous responses of the cells. Furthermore, while the projection from LPB cck to PVN is nicely established, the manipulation at PVN is less convincing due to the broad expression of vglut2, and thus cre, in the regions surrounding PVN.

1. Natural responses of cells are completely missing in the study. Do PB CCK cells or non-CRH PVN glutamatergic cells increase activity during stressful conditions? Such as noxious heat? It is unclear what is the role of the PB cck cells in the defense circuit. Is it primarily a sensory region for aversive stimulus or a motor region for driving the behavioral output?

2. The behavior paradigm used for the loss-of-function experiment is somewhat unusual. A looming stimulus is more commonly used to elicit flight in mice. Does inhibiting PB cck cells also suppress looming induced flight? This result could be interesting either way. It will help elucidate the natural role of the cells in defensive behavior.

3. For Figure 1, please show the histology of the primary injection site and quantify the results. Given that AAV2-retro is not cre-dependent and PVN is a small region, it is not clear how many of the retrogradely labeled cells are due to their projection to the PVN vs. PVN surrounding region. For figure 1c, is this number from the sum of 3 animals or per animal? If it is per animal, what is the level of variability across animals?

4. For Figure 2I, please show the quantification of TTX+4AP results.

5. Does terminal activation at PVN also induce autonomic responses? The answer to this question helps to address whether the autonomic and behavioral changes are mediated by the same or distinct pathways.

6. Optogenetic experiments allow for within-animal comparison. Please analyze the sham light period for ChR2 and GFP groups.

7. Based on Figure 8B histology, there is quite a bit of infection outside of PVN. Please quantify the extent of the virus spread. Given that Vglut2 is not a PVN-specific marker, this raises the concern regarding whether the behavioral change is indeed due to the activation of PVN cells. If PB cck cells do not target onto PVN CRH cells, what do they target onto? Oxy cells? AVP cells? Or something else? The authors need to provide more convincing evidence that the behavior change is due to the activation of PVN glutamatergic cells.

Reviewer #2 (Recommendations for the authors):

This manuscript described a neuronal pathway from CCK expressing neurons in the lateral parabrachial nucleus (LPBCCK) to glutamatergic neurons in the paraventricular hypothalamus (PVHglut) for defensive behaviors. The authors provided convincing data showing that artificially activating this pathway can drive defensive-like flight to nest behavior and can increase anxiety and drive autonomic responses in mice. However, how this pathway engaged in physiological defensive responses is not known. The experiment for examining the role of LPBCCK neurons in heat defensive behavior has flaws. LPBCCK neurons itself is important for thermoregulation. Therefore, the increased latency for the mice to avoid heat area after silencing LPBCCK neurons could simply be because the mice become less sensitive to heat, but not necessarily lack defensive behavior. Also because Yang et al., have already reported the role of the LPBCCK neurons in heat regulation, the novelty of the discovery in the current manuscript is questioned. The flight to nest behavior is likely to be also triggered by looming stimuli. Does the LPBCCK to PVHglut pathway also responsible for flighting responses triggered by the looming stimuli?

My biggest concern for this manuscript is the lacking of evidence to support an endogenous function of the LPBCCK to PVHglut pathway.

Also, more characterization of both LPBCCK and PVHglut neurons is needed. Did these neurons also express other markers that are well known in these two regions?

It is surprising to me that no in vivo recording has been done on this pathway in defensive behavior.Reviewer #3 (Recommendations for the authors):

The current manuscript will be of high interest to the affective and circuit neuroscience fields as it provides insights into a novel parabrachial to hypothalamus pathway that could potentially mediate threat avoidance behavior. This study used comprehensive and clever approaches to attempt to delineate the involvement of this pathway using a rodent task that assesses escape and shelter-seeking behavior. However, the authors still need to rule out alternative explanations to determine with more certainty that the behavior mice display is indeed threat avoidance and safety-seeking.

The major strengths of this manuscript are that the authors did a very nice and thorough job demonstrating LPBCCK – PVN pathway connectivity. The authors also did a very good job showing the sufficiency of this pathway in producing escape-like behavior in mice.

The main concern I have with this manuscript is that as it is, and with the behavioral paradigms used, the authors cannot fully claim that this LPBCCK – PVN pathway plays a role in defensive-like avoidance behavior as alternative explanations first need to be ruled out before making this claim.

As the authors noted throughout the manuscript, previous studies have shown that LPBCCK neurons project to the VMH and mediate the counterregulatory responses produced by extreme hypoglycemia. Such hypoglycemia-induced counterregulatory responses result in the secretion of several hormones, including CORT (Garfield et al., 2014; Ritter et al., 2019; Beas et al., 2020). These counterregulatory responses are also very stressful and produce anxiety-like effects in rodents (Ritter et al., 2019; Beas et al., 2020). As such, it is very plausible that the flight-to-nest behavior the authors observed after activation of the LPBCCK – PVN pathway could have similar aversive effects that result in escape behavior but that are unrelated to defensive avoidance.

My second concern pertains to the thermoregulation paradigm used to test the requirement of LPBCCK neurons on avoidance behavior (as shown in Figure 5). Using thermos-sensation as a paradigm to assess avoidance behavior is a clever way to test the requirement of these LPBCKK neurons. However, equating heat avoidance to defensive-like treat avoidance behavior might be problematic since predator escaping and thermo-regulation are known to be mediated by different pathways (Lek Tan et al., 2018; Yang et al., 2020).

Overall, this manuscript could undoubtedly benefit from differentiating whether the escape-avoiding behavior displayed by manipulating the LPBCCK – PVN pathway results from perceived interoceptive stressors (hypoglycemia, changes in temperatures, etc.), exteroceptive threats (predator smell, predator looming, etc.), or both. Doing so could provide more insight into the actual functional role of this LPBCCK – PVN pathway and would likely have a more substantial impact on the field.

To be able to rule out the involvement of this pathway in mediating the stressful responses of perceived hypoglycemia, authors could show that their LPBCCK – PVN manipulations target a different subset of VGlut2 neurons in the PVN from those expressing SF-1 (Garfield et al., 2014). Authors could also use similar approaches as in Garfield et al., 2014, such as 2DG injections or insulin as models of hypoglycemia while inhibiting the LPBCCK – PVN pathway. Suppose their manipulations do not affect measurements such as food consumption, CORT, and glucose levels after administering 2DG or insulin, as in Garfield et al., 2014; the authors can then conclude that the activation of this pathway drives defensive-like avoidance behavior, and not an aversive state produced by a perceived hypoglycemic state.

In addition, if the authors hypothesize that the LPBCCK – PVN pathway plays a role in defensive-like avoidance behavior and are aiming to test the requirement of these neurons on threat avoidance behavior, they could use predator odor or looming objects such as those used in Zhou et al., 2019 which are known to produce escape behaviors. Using these paradigms would allow them to better examine the effects of optogenetic inhibition of LPBCCK neurons on threat avoidance/shelter-seeking behavior.

Lastly, in figures 5F and 5G, there seems to be a bimodal distribution of the mice for the GtACR1 group. One group of mice shows a profound impairment in thermal seeking behavior after inhibition, while another group only shows a slight effect. Could optical fiber location within the LPBN be accounting for these differences? As such, it would be necessary for the authors to show fiber implant locations for all experiments.

[Editors’ note: further revisions were suggested prior to acceptance, as described below.]

Thank you for resubmitting your work entitled "A Parabrachial to Hypothalamic Pathway Mediates Defensive Behavior" for further consideration by eLife. Your revised article has been evaluated by Kate Wassum (Senior Editor) and a Reviewing Editor.

The manuscript has been improved but there are some remaining issues that need to be addressed, as outlined below:

Please address the important points noted by Reviewer #1 below. Maps of fiber placements and viral expression should be included in all relevant experiments.

Please ensure your manuscript complies with the eLife policies for statistical reporting: https://reviewer.elifesciences.org/author-guide/full "Report exact p-values wherever possible alongside the summary statistics and 95% confidence intervals. These should be reported for all key questions and not only when the p-value is less than 0.05." in particular, statistics were not readily identified for Figure 1P, 3, N, O, Q, R.

Reviewer #1 (Recommendations for the authors):

The authors addressed most of my concerns.

However, I still have a couple of minor concerns/recommendations:

1. Figure 4 D-H – During the rat exposure behavioral test, the authors show that optogenetic inhibition of LPBCCK neurons results in increases in entries and time in the 'danger zone.' However, are there any changes in latencies to flight and flight speed after silencing these neurons?

2. For rigor purposes, the author should show anatomical maps displaying fiber placements for all the optogenetics and fiber photometry experiments.

3. Figure 3F is missing the y-axis.

Reviewer #2 (Recommendations for the authors):

I appreciate the author added new experiments to address my concerns. The revised manuscript is easy to read and is ready for publication.

Reviewer #3 (Recommendations for the authors):

The authors did a good job addressing the reviewer's comments. The paper has been improved significantly.

https://doi.org/10.7554/eLife.85450.sa1

Author response

Comments to the Authors:

Reviewer #1 (Recommendations for the authors):

The behavioral results of optogenetic activation are overall robust. However, the role of the cells in the defense circuit remains unclear due to a lack of information regarding the endogenous responses of the cells. Furthermore, while the projection from LPB cck to PVN is nicely established, the manipulation at PVN is less convincing due to the broad expression of vglut2, and thus cre, in the regions surrounding PVN.

1. Natural responses of cells are completely missing in the study. Do PB CCK cells or non-CRH PVN glutamatergic cells increase activity during stressful conditions? Such as noxious heat? It is unclear what is the role of the PB cck cells in the defense circuit. Is it primarily a sensory region for aversive stimulus or a motor region for driving the behavioral output?

We very much appreciate the reviewer’s questions.

1) This was indeed a big disadvantage of our study and reviewer #2 also raised this concern (Reviewer #2, point 1). We have fixed this problem in the updated manuscript by recording calcium responses of LPBCCK neurons in vivo under different conditions, including heat, predatory (rat or TMT) exposure and looming stimuli. In accordance with previous studies (Yang et al., 2020), we verified that LPBCCK neurons were activated when mice were exposed to heat (Revised Supplementary Figure 4A-D). Importantly, rat exposure, predatory cues TMT and looming stimuli also robustly activated LPBCCK neurons (Revised Figure 3 A-R and Supplementary Figure 4I-L). Of note, the calcium signals of LPBCCK neurons started to rise when mice assessed the threat, reached the peak at the moment of flight initiation, but rapidly dropped when mice gained distance from the threat.

2) We performed c-fos staining after stimulation of the terminals of LPBCCK neurons in the PVN. We found that PVNCRH neurons are activated, whereas non-CRH neurons, including AVP or OXT neurons in the PVN, are not activated (Revised Supplementary Figure 5C-F).

3) We also performed the real-time place aversion (RTPA) tests and found that activation of PBCCK neurons induces apparent aversion (Revised Figure 2E-G). Given that LPB is an important sensory hub and LPBCCK neurons are recruited to different threat stimuli, our data support that L

4) LPBCCK neurons primarily act as a sensory and transmitting region for aversive stimuli (This has been further elaborated in the Discussion section, Line 348-353).

2. The behavior paradigm used for the loss-of-function experiment is somewhat unusual. A looming stimulus is more commonly used to elicit flight in mice. Does inhibiting PB cck cells also suppress looming induced flight? This result could be interesting either way. It will help elucidate the natural role of the cells in defensive behavior.

We agree with the reviewer that the heat avoidance paradigm may not be optimal in our original study. We have removed the heat avoidance assay in the revised manuscript. We have used both looming stimuli and rat predatory tests to examine the role of LPBCCK neurons in flight responses. As shown in the Revised Figure 4D-L, optogenetic inhibition of LPBCCK neurons significantly attenuated looming stimuli or rat exposure-triggered flight responses.

3. For Figure 1, please show the histology of the primary injection site and quantify the results. Given that AAV2-retro is not cre-dependent and PVN is a small region, it is not clear how many of the retrogradely labeled cells are due to their projection to the PVN vs. PVN surrounding region. For figure 1c, is this number from the sum of 3 animals or per animal? If it is per animal, what is the level of variability across animals?

We thank the reviewer for this question.

1) The virus we injected into the CCK-Cre mice is Cre-dependent AAV2-retro-DIO-EYFP.

2) Since the fluorescence of AAV2-retro-DIO-EYFP is barely invisible in the PVN in CCK-Cre mice after injection, we often co-injected the virus with the retrograde tracer CTB to mark the infected area. The data showing the injection site and CTB-labeled area in the PVN have now been included in the Revised Figure 1B.

3) We usually titrate the amount of injected virus to find out an optimal does for the retrograde tracing (Zhang et al., 2021).Due to the invisibility of fluorescence signals of AAV2-retro-DIO-EYFP, however, we can only judge the accuracy of injection and infected area based on the CTB+ area within the PVN. To minimize potential overfill out of the PVN regions after virus infection, only animals showing CTB+ signals within the PVN were included in our analyses.

4) The number shown in Figure 1c represents the average number of cells obtained from 3 animals. Cells were counted from at least three slices in individual EYFP+ brain regions. As shown in Author response table 1, there are variations in different animals, but the percentages of traced cells are quite consistent across animals (Revised Figure 1D).

Author response table 1
Numbers of retrogradely traced cells in CCK-Cre mice.
Animal 1
RegionSlice 1Slice 2Slice 3totalpercentageaverage
CC941039529225.75%97
DI113421665.82%22
LPB711036924321.43%81
PAG263419796.97%26
MO13717514245410.04%151
Animal 2
RegionSlice 1Slice 2Slice 3totalpercentageaverage
CC82937525021.82%83
DI182317585.06%19
LPB941029128725.04%96
PAG112315494.28%16
MO16617216450243.80%167
Animal 3
RegionSlice 1Slice 2Slice 3Totalpercentageaverage
CC80957625124.25%84
DI273228878.41%29
LPB67826321220.48%71
PAG121916474.54%16
MO13915714243842.32%146
RegionTotal average
CC88
DI23
LPB83
PAG19
MO155

MO, medial orbital cortex; CC, cingulate cortex; DI, dysgranular insular cortex; PAG, periaqueductal gray

4. For Figure 2I, please show the quantification of TTX+4AP results.

We have included the quantification of TTX+4AP results in Revised Figure 1N. Please note, due to the changes of figure orders, the quantification data is now presented in Figure 1N, instead of the original Figure 2I.

5. Does terminal activation at PVN also induce autonomic responses? The answer to this question helps to address whether the autonomic and behavioral changes are mediated by the same or distinct pathways.

Yes, terminal activation at the PVN of LPBCCK neurons induced autonomic responses as it increased heart rates and plasma corticosterone levels (Revised Figure 5K-N). However, terminal stimulation barely affected pupil size. These data suggest that different aspects of autonomic responses are likely mediated by different pathways downstream of LPBCCK neurons. We appreciate the reviewer’s point, and we are further investigating whether different downstream pathways of LPBCCK neurons mediate different aspects (autonomic and behavioral components) of the complex defensive responses.

6. Optogenetic experiments allow for within-animal comparison. Please analyze the sham light period for ChR2 and GFP groups.

We thank the reviewer for raising this important point. We have carefully compared the animal behaviors before and during/after light stimulation for both ChR2 and EYFP groups in the real-time place aversion (RTPA), anxiety-related tests. These data are now presented in the Revised Figure 2G, Supplementary Figure 3D-J. These data nicely present the behavioral responses of animals during/after light stimulation of LPBCCK neurons. For the flight-to-nest paradigm, however, since there is no flight latency and nest-residing time before light stimulation, we kept the original analyses between EYFP and ChR2 groups.

7. Based on Figure 8B histology, there is quite a bit of infection outside of PVN. Please quantify the extent of the virus spread. Given that Vglut2 is not a PVN-specific marker, this raises the concern regarding whether the behavioral change is indeed due to the activation of PVN cells. If PB cck cells do not target onto PVN CRH cells, what do they target onto? Oxy cells? AVP cells? Or something else? The authors need to provide more convincing evidence that the behavior change is due to the activation of PVN glutamatergic cells.

We thank the reviewer for raising this concern.

1) We agree with the reviewer that vGlut2 is not a PVN-specific marker, as it is widely distributed in all glutamatergic neurons. Studies have shown that, however, PVN neurons are predominantly vGluT2+ cells (Vong et al., 2011). In addition, ISH data from the Allen Brain Atlas (https://portal.brain-map.org/) also showed that Vglut2 neurons are located in the PVN, whereas GABAergic neurons are almost excluded from the PVN region by surrounding the PVN (Author response image 1). By expressing ChR2 in PVNVglut2 neurons and putting optic fibers above this area, we believe that we primarily activated cells in the PVN. In support of our data, activation of Sim1+ (a specific marker for PVN) cells in the PVN also promoted flight behaviors(Mangieri et al., 2019), similar to the behavioral responses we observed after activation of PVNVglut2 neurons.

Author response image 1
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ISH data from the Allen Brain Atlas.

2) To find out which type of cells in the PVN receives input from LPBCCK neurons, we further carried out c-fos staining in PVN regions after stimulation of LPBCCK-PVN terminals. Our data demonstrate that PVNCRH neurons, but not AVP, OXT neurons are activated, suggesting that LPBCCK neurons do target onto PVNCRH cells. While activation of PVNCRH cells have been shown to promote aversion (Kim et al., 2019), we were unable to drive apparent flight-to-nest responses in our assay. We are further investigating the potential mechanisms involved.

Reviewer #2 (Recommendations for the authors):

This manuscript described a neuronal pathway from CCK expressing neurons in the lateral parabrachial nucleus (LPBCCK) to glutamatergic neurons in the paraventricular hypothalamus (PVHglut) for defensive behaviors. The authors provided convincing data showing that artificially activating this pathway can drive defensive-like flight to nest behavior and can increase anxiety and drive autonomic responses in mice. However, how this pathway engaged in physiological defensive responses is not known. The experiment for examining the role of LPBCCK neurons in heat defensive behavior has flaws. LPBCCK neurons itself is important for thermoregulation. Therefore, the increased latency for the mice to avoid heat area after silencing LPBCCK neurons could simply be because the mice become less sensitive to heat, but not necessarily lack defensive behavior. Also because Yang et al., have already reported the role of the LPBCCK neurons in heat regulation, the novelty of the discovery in the current manuscript is questioned. The flight to nest behavior is likely to be also triggered by looming stimuli. Does the LPBCCK to PVHglut pathway also responsible for flighting responses triggered by the looming stimuli?

My biggest concern for this manuscript is the lacking of evidence to support an endogenous function of the LPBCCK to PVHglut pathway.

We appreciate this important question from the reviewer. This problem has now been solved by in vivo recording the calcium activity of LPBCCK neurons under different conditions including heat, rat exposure, looming stimuli, and predatory cues (Please see also our response to Reviewer #1, point 1 and Revised Figure 3). Our data show that PBCCK neurons respond to various innate threat stimuli.

In addition, we also tried to record the terminal calcium responses of PBCCK neurons in PVN region, by injecting the AAV-DIO-synapse-jGCaMP7b virus which has been to preferentially target to axon terminals (Yang et al., 2020). However, no fluorescence signals were seen in different downstream terminals of PBCCK neurons, including the PVN and parasubthalamic nucleus (PSTh) (Author response image 2). Fiber photometry recording also failed to detect any calcium responses under threat stimulation. We suspect that there might be a problem with the virus itself and we are also trying to get viruses from abroad. However, due to COVID-19 pandemic, we still haven’t received the viruses after several months’ wait. Since there are competitions regarding the role of LPBCCK neurons in defensive behaviors, we have to wrap our study and submit the manuscript without further wait. We sincerely apologize for being unable to finish this experiment.

Author response image 2
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Representative figures of AAV-DIO-synapse-jGCaMP7b infection at the LPB and downstream PVN and PSTh.

Also, more characterization of both LPBCCK and PVHglut neurons is needed. Did these neurons also express other markers that are well known in these two regions?

We fully agree with the review. We are actively trying different methods, including single cell transcriptomics to fully characterize the identity of these cells. According to Shen et al. (Yang et al., 2020), LPBCCK neurons participate in thermoregulation by projecting to the preoptic area (POA), whereas Norris et al. (Norris, Shaker, Cone, Ndiokho, & Bruchas, 2021) also showed that LPB neurons expressing dynorphin and enkephalin regulate body temperature by projecting to POA. It is likely that neuronal populations in the above studies may overlap, and LPBCCK neurons may also contain dynorphin and enkephalin. Notably, although CGRP neurons have been shown to encode threat signals, our data show that LPBCCK neurons barely contain CGRP (Revised Supplementary Figure 2F).

Regarding the PVH (PVN)Vglut2 neurons, this category likely includes the majority of PVN neurons (please see response to Reviewer 1#, point 7). PVN neurons contain a large repertoire of neuropeptides (Zhang et al., 2021), and we found that PVNCRH neurons are responsive to LPBCCK neurons stimulation (Supplementary Figure 5C).

It is surprising to me that no in vivo recording has been done on this pathway in defensive behavior.

We thank the reviewer for this important question. Indeed, this was a big disadvantage in our original manuscript, we have now included the in vivo recording data in the updated manuscript (Revised Figure 3A-R and Supplementary Figure 4I-L). Please see also our response to Reviewer #1, point 1.

Reviewer #3 (Recommendations for the authors):

The current manuscript will be of high interest to the affective and circuit neuroscience fields as it provides insights into a novel parabrachial to hypothalamus pathway that could potentially mediate threat avoidance behavior. This study used comprehensive and clever approaches to attempt to delineate the involvement of this pathway using a rodent task that assesses escape and shelter-seeking behavior. However, the authors still need to rule out alternative explanations to determine with more certainty that the behavior mice display is indeed threat avoidance and safety-seeking.

The major strengths of this manuscript are that the authors did a very nice and thorough job demonstrating LPBCCK – PVN pathway connectivity. The authors also did a very good job showing the sufficiency of this pathway in producing escape-like behavior in mice.

The main concern I have with this manuscript is that as it is, and with the behavioral paradigms used, the authors cannot fully claim that this LPBCCK – PVN pathway plays a role in defensive-like avoidance behavior as alternative explanations first need to be ruled out before making this claim.

As the authors noted throughout the manuscript, previous studies have shown that LPBCCK neurons project to the VMH and mediate the counterregulatory responses produced by extreme hypoglycemia. Such hypoglycemia-induced counterregulatory responses result in the secretion of several hormones, including CORT (Garfield et al., 2014; Ritter et al., 2019; Beas et al., 2020). These counterregulatory responses are also very stressful and produce anxiety-like effects in rodents (Ritter et al., 2019; Beas et al., 2020). As such, it is very plausible that the flight-to-nest behavior the authors observed after activation of the LPBCCK – PVN pathway could have similar aversive effects that result in escape behavior but that are unrelated to defensive avoidance.

My second concern pertains to the thermoregulation paradigm used to test the requirement of LPBCCK neurons on avoidance behavior (as shown in Figure 5). Using thermos-sensation as a paradigm to assess avoidance behavior is a clever way to test the requirement of these LPBCKK neurons. However, equating heat avoidance to defensive-like treat avoidance behavior might be problematic since predator escaping and thermo-regulation are known to be mediated by different pathways (Lek Tan et al., 2018; Yang et al., 2020).

Overall, this manuscript could undoubtedly benefit from differentiating whether the escape-avoiding behavior displayed by manipulating the LPBCCK – PVN pathway results from perceived interoceptive stressors (hypoglycemia, changes in temperatures, etc.), exteroceptive threats (predator smell, predator looming, etc.), or both. Doing so could provide more insight into the actual functional role of this LPBCCK – PVN pathway and would likely have a more substantial impact on the field.

To be able to rule out the involvement of this pathway in mediating the stressful responses of perceived hypoglycemia, authors could show that their LPBCCK – PVN manipulations target a different subset of VGlut2 neurons in the PVN from those expressing SF-1 (Garfield et al., 2014). Authors could also use similar approaches as in Garfield et al., 2014, such as 2DG injections or insulin as models of hypoglycemia while inhibiting the LPBCCK – PVN pathway. Suppose their manipulations do not affect measurements such as food consumption, CORT, and glucose levels after administering 2DG or insulin, as in Garfield et al., 2014; the authors can then conclude that the activation of this pathway drives defensive-like avoidance behavior, and not an aversive state produced by a perceived hypoglycemic state.

We thank the reviewer’ for raising s suggestions. LPBCCK neurons had been shown to mediate the counter-regulatory responses under extreme hypoglycemic conditions via projection to VMH. We agree with the reviewer that these counterregulatory responses to hypoglycemia also produce anxiety-like states, similar to what we observed after prolonged stimulation of the LPBCCK neurons. However, we believe that acute stimulation of the LPBCCK-PVN pathway-induced flight-to-nest behavior represent defensive behaviors, which are distinct from the responses after activation of LPBCCK-VMH in that:

1) By in vivo recording of the calcium responses of LPBCCK neurons, we demonstrated that LPBCCK neurons are actively recruited under different threat conditions, such as rat exposure, looming stimuli and predatory cues. More importantly, the peak activity of LPBCCK neurons corresponds to the onset of flight behavior, clearly demonstrating that LPBCCK neurons encode flight responses.

2) On a temporal scale, defensive behaviors and regulation of blood glucose levels have distinct time dynamics. For example, it usually takes a few minutes to upregulate/downregulate blood glucose levels (Huang et al., 2022; Meek et al., 2016), however, it only takes a few seconds to mount defensive responses. In Garfield’s study, they have used chemogenetic tools to activate LPBCCK neurons and observed upregulated blood glucose levels around 15-20 min (Figure 2C in Garfield’s et al. 2014), which peaks at around 1hr. In our experiments, seconds of acute light stimulation induces rapid flight or aversion response within seconds. Thus, we think the rapid flight-to-nest behaviors after stimulation of LPBCCK-PVN are unlikely a consequence of counterregulatory response to hypoglycemia. However, the reviewer’s point is very helpful for us to further investigate the potential role of the LPBCCK-VMH neurons in coordinating complex defensive responses.

In addition, if the authors hypothesize that the LPBCCK – PVN pathway plays a role in defensive-like avoidance behavior and are aiming to test the requirement of these neurons on threat avoidance behavior, they could use predator odor or looming objects such as those used in Zhou et al., 2019 which are known to produce escape behaviors. Using these paradigms would allow them to better examine the effects of optogenetic inhibition of LPBCCK neurons on threat avoidance/shelter-seeking behavior.

We are very thankful to the reviewer for these wonderful suggestions. We have used both predatory (rat or TMT exposure) and looming stimuli to test whether the LPBCCK neurons regulate defensive behaviors. These classical paradigms allowed us to better characterize the role of LPBCCK neurons in defensive responses. We found that activation of the LPBCCK-PVN pathway promotes flight-to-nest behavior, and inhibition of LPBCCK neurons suppressed rat exposure or looming stimuli-triggered defensive behaviors. These data are now included in Revised Figure 4 D-L. Our new findings demonstrate that the LPBCCK-PVN pathway is important for the defensive responses.

Lastly, in figures 5F and 5G, there seems to be a bimodal distribution of the mice for the GtACR1 group. One group of mice shows a profound impairment in thermal seeking behavior after inhibition, while another group only shows a slight effect. Could optical fiber location within the LPBN be accounting for these differences? As such, it would be necessary for the authors to show fiber implant locations for all experiments.

We thank the reviewer for the careful observation and excellent suggestions. Indeed, after a careful re-examination of optical fiber locations in the LPB, we noticed that 3 animals showed accurate positions of optic fibers in only one side of the LPB (Author response image 3). These animals were exactly those showing no apparent avoidance behaviors in the heat-defense behavioral tests, likely due to the insufficient inhibition. As per Reviewer 2’s concerns, these data are now removed. According to all reviewers’ suggestions, we have used rat exposure or looming stimuli assays to determine the role of LPBCCK neurons in defensive behaviors and these data are presented in Revised Figure 4D-L.

Author response image 3
Download asset Open asset
Representative images of fibers implantation above the LPB after injection of AAV-DIO-GtACR1-EYFP virus.
Author response table 2
Data of behavioral tests after inhibition of LPBCCK neurons.
AnimalStageHot zone : timeSafe zone : latency to first entryHot zone time/total timeOptical fiber location
GtACR11Habitat stage96.5Optical fibers in only one side
Test stage36.713.512.23%
2Habitat stage60.8Optical fibers in only one side
Test stage7067.023.33%
3Habitat stage13.4
Test stage265.7265.788.57%
4Habitat stage151.2
Test stage300300.0100.00%
5Habitat stage176.7
Test stage300300.0100.00%
6Habitat stage70.6Optical fibers in only one side
Test stage9391.731.00%
7Habitat stage33.7
Test stage137.9106.745.97%
EYFP8Habitat stage84.8
Test stage72.92.324.30%
9Habitat stage41.9
Test stage18.45.66.13%
10Habitat stage14.9
Test stage6.72.42.23%
11Habitat stage77.6
Test stage44.99.014.97%
12Habitat stage137.3
Test stage527.517.33%
13Habitat stage75.8
Test stage41.338.013.77%
14Habitat stage149.4
Test stage108.9108.936.30%
15Habitat stage30.8
Test stage6.84.12.27%

References

Huang, Z., Liu, L., Zhang, J., Conde, K., Phansalkar, J., Li, Z.,… Liu, J. (2022). Glucose-sensing glucagon-like peptide-1 receptor neurons in the dorsomedial hypothalamus regulate glucose metabolism. Sci Adv, 8(23), eabn5345. doi:10.1126/sciadv.abn5345

Kim, J., Lee, S., Fang, Y. Y., Shin, A., Park, S., Hashikawa, K.,… Suh, G. S. B. (2019). Rapid, biphasic CRF neuronal responses encode positive and negative valence. Nat Neurosci, 22(4), 576-585. doi:10.1038/s41593-019-0342-2

Mangieri, L. R., Jiang, Z., Lu, Y., Xu, Y., Cassidy, R. M., Justice, N.,… Tong, Q. (2019). Defensive Behaviors Driven by a Hypothalamic-Ventral Midbrain Circuit. eNeuro, 6(4). doi:10.1523/ENEURO.0156-19.2019

Meek, T. H., Nelson, J. T., Matsen, M. E., Dorfman, M. D., Guyenet, S. J., Damian, V.,… Morton, G. J. (2016). Functional identification of a neurocircuit regulating blood glucose. Proc Natl Acad Sci U S A, 113(14), E2073-2082. doi:10.1073/pnas.1521160113

Norris, A. J., Shaker, J. R., Cone, A. L., Ndiokho, I. B., & Bruchas, M. R. (2021). Parabrachial opioidergic projections to preoptic hypothalamus mediate behavioral and physiological thermal defenses. ELife, 10. doi:10.7554/eLife.60779

Vong, L., Ye, C., Yang, Z., Choi, B., Chua, S., Jr., & Lowell, B. B. (2011). Leptin action on GABAergic neurons prevents obesity and reduces inhibitory tone to POMC neurons. Neuron, 71(1), 142-154. doi:10.1016/j.neuron.2011.05.028

Yang, W. Z., Du, X., Zhang, W., Gao, C., Xie, H., Xiao, Y.,… Fu, X. (2020). Parabrachial neuron types categorically encode thermoregulation variables during heat defense. Science advances, 6(36), eabb9414.

Zhang, B., Qiu, L., Xiao, W., Ni, H., Chen, L., Wang, F.,… Gao, Z. (2021). Reconstruction of the Hypothalamo-Neurohypophysial System and Functional Dissection of Magnocellular Oxytocin Neurons in the Brain. Neuron, 109(2), 331-346 e337. doi:10.1016/j.neuron.2020.10.032

[Editors’ note: further revisions were suggested prior to acceptance, as described below.]

The manuscript has been improved but there are some remaining issues that need to be addressed, as outlined below:

Please address the important points noted by Reviewer #1 below. Maps of fiber placements and viral expression should be included in all relevant experiments.

Please ensure your manuscript complies with the eLife policies for statistical reporting: https://reviewer.elifesciences.org/author-guide/full "Report exact p-values wherever possible alongside the summary statistics and 95% confidence intervals. These should be reported for all key questions and not only when the p-value is less than 0.05." in particular, statistics were not readily identified for Figure 1P, 3, N, O, Q, R.

Reviewer #1 (Recommendations for the authors):

The authors addressed most of my concerns.

However, I still have a couple of minor concerns/recommendations:

1. Figure 4 D-H – During the rat exposure behavioral test, the authors show that optogenetic inhibition of LPBCCK neurons results in increases in entries and time in the 'danger zone.' However, are there any changes in latencies to flight and flight speed after silencing these neurons?

We appreciate this question from the reviewer. We have analyzed the latencies to flight and flight speed from the ‘danger zone’ after silencing LPBCCK neurons. Our data showed that silencing LPBCCK neurons did not significantly change the latencies and flight speed, albeit there is a tendency for longer latencies.

Author response image 4
Download asset Open asset
Analysis of flight latency and speed after optic inhibition of LPBCCK neurons using GtACR1 virus.

(For latency, p = 0.1866, t = 1.394, df = 13; unpaired t test; for speed, p = 0.6926, t = 0.4043, df = 13; unpaired t test).

2. For rigor purposes, the author should show anatomical maps displaying fiber placements for all the optogenetics and fiber photometry experiments.

We thank the reviewer for this suggestion, we have included all the figures showing the fiber placements in to Figure 2-6 in the main text of our manuscript. We have also uploaded these images into the source data.

3. Figure 3F is missing the y-axis.

We appreciate the reviewer for this important question and we have corrected the figure.

Author response table 3
Number of labeled cells.
Number of labeled cells
animal 1animal 2animal 3total average
regionslice 1slice 2slice 3totalpercentageaverageregionslice 1slice 2slice 3totalpercentageaverageregionslice 1slice 2slice 3totalpercentageaverage
CC941039529225.75%97CC82937525021.82%83CC80957625124.25%8488
DI113421665.82%22DI182317585.06%19DI273228878.41%2923
LPB711036924321.43%81LPB941029128725.04%96LPB67826321220.48%7183
PAG263419796.97%26PAG112315494.28%16PAG121916474.54%1619
MO13717514245440.04%151MO16617216450243.80%167MO13915714243842.32%146155
https://doi.org/10.7554/eLife.85450.sa2

Article and author information

Author details

  1. Fan Wang

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    Yuge Chen
    Competing interests
    No competing interests declared

  2. Yuge Chen

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    Fan Wang
    Competing interests
    No competing interests declared

  3. Yuxin Lin

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Formal analysis, Methodology, Writing – review and editing
    Contributed equally with
    Xuze Wang
    Competing interests
    No competing interests declared

  4. Xuze Wang

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Investigation, Methodology, Project administration, Writing – review and editing
    Contributed equally with
    Yuxin Lin
    Competing interests
    No competing interests declared

  5. Kaiyuan Li

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Data curation, Software
    Competing interests
    No competing interests declared

  6. Yong Han

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Visualization, Writing – original draft
    Competing interests
    No competing interests declared

  7. Jintao Wu

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Data curation, Software
    Competing interests
    No competing interests declared

  8. Xingyi Shi

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Data curation, Software, Formal analysis
    Competing interests
    No competing interests declared

  9. Zhenggang Zhu

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Visualization, Writing – original draft
    Competing interests
    No competing interests declared

  10. Chaoying Long

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    Contribution
    Data curation
    Competing interests
    No competing interests declared

  11. Xiaojun Hu

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
    Contribution
    Visualization, Writing – original draft
    Competing interests
    No competing interests declared

  12. Shumin Duan

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    3. NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
    4. Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
    5. The Institute of Brain and Cognitive Sciences, Zhejiang University City College, Hangzhou, China
    6. Chuanqi Research and Development Center of Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    For correspondence
    duanshumin@zju.edu.cn
    Competing interests
    No competing interests declared

  13. Zhihua Gao

    1. Department of Neurobiology and Department of Neurology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
    2. Liangzhu Laboratory, Zhejiang University Medical Center, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Labotatory of Brain-machine intelligence, Zhejiang University, Hangzhou, China
    3. NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China
    Contribution
    Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing
    For correspondence
    zhihuagao@zju.edu.cn
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8603-0777

Funding

STI2030-Major Projects (2021ZD0202700)

  • Zhihua Gao

STI2030-Major Projects (2021ZD0202703)

  • Zhihua Gao

Leading Talents in Science and Technology of Zhejiang Province (2021R52021)

  • Zhihua Gao

National Nature Science Foundation of China (82090033)

  • Shumin Duan

NSFC-Guangdong Joint Fund (U20A6005)

  • Shumin Duan

Zhejiang Major Science and Technology Project (2020C03009)

  • Shumin Duan

Zhejiang Major Science and Technology Project (2020R01001)

  • Shumin Duan

Chinese Academy of Medical Sciences (Research Units for Emotion and Emotion Disorders, 2019-I2M-5–057)

  • Shumin Duan

Key Area Research and Development Program of Guangdong Province (2019B030335001)

  • Shumin Duan

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Xiaoming Li, Weisheng Wang, Bin Zhang, Chenjie Shen, Zhi Chen, Yu-dong Zhou, Kai Liu, Huifang Lou for technical support. This work was supported by STI2030-Major Projects (2021ZD0202700 and 2021ZD0202703), the Leading talents in Science and Technology of Zhejiang Province (2021R52021), the National Natural Science Foundation of China (82090033), the NSFC-Guangdong Joint Fund (U20A6005), the Zhejiang Major Science and Technology Project (2020C03009 and 2020R01001), the Research Units for Emotion and Emotion Disorders, Chinese Acedemy of Medical Sciences (2019-I2M-5–057), the Key Area Research and Development Program of Guangdong Povince (2019B030335001).

Ethics

Animal experimentation: All experimental procedures were approved by the Animal Advisory Committee at Zhejiang University and were performed in strict accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals. Laboratory Animal Welfare and Ethics Committee of Zhejiang University; National Institutes of Health Guidelines for the Care and Use of Laboratory Animals; AP CODE:ZJU20220160.

Senior Editor

  1. Kate M Wassum, University of California, Los Angeles, United States

Reviewing Editor

  1. Jun Ding, Stanford University, United States

Publication history

  1. Preprint posted: June 1, 2022 (view preprint)
  2. Received: December 8, 2022
  3. Accepted: February 13, 2023
  4. Version of Record published: March 17, 2023 (version 1)

Copyright

© 2023, Wang, Chen, Lin et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Fan Wang
  2. Yuge Chen
  3. Yuxin Lin
  4. Xuze Wang
  5. Kaiyuan Li
  6. Yong Han
  7. Jintao Wu
  8. Xingyi Shi
  9. Zhenggang Zhu
  10. Chaoying Long
  11. Xiaojun Hu
  12. Shumin Duan
  13. Zhihua Gao
(2023)
A parabrachial to hypothalamic pathway mediates defensive behavior
eLife 12:e85450.
https://doi.org/10.7554/eLife.85450

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    Andrea Alamia, Lucie Terral ... Rufin VanRullen
    Research Article Updated

    Previous research has associated alpha-band [8–12 Hz] oscillations with inhibitory functions: for instance, several studies showed that visual attention increases alpha-band power in the hemisphere ipsilateral to the attended location. However, other studies demonstrated that alpha oscillations positively correlate with visual perception, hinting at different processes underlying their dynamics. Here, using an approach based on traveling waves, we demonstrate that there are two functionally distinct alpha-band oscillations propagating in different directions. We analyzed EEG recordings from three datasets of human participants performing a covert visual attention task (one new dataset with N = 16, two previously published datasets with N = 16 and N = 31). Participants were instructed to detect a brief target by covertly attending to the screen’s left or right side. Our analysis reveals two distinct processes: allocating attention to one hemifield increases top-down alpha-band waves propagating from frontal to occipital regions ipsilateral to the attended location, both with and without visual stimulation. These top-down oscillatory waves correlate positively with alpha-band power in frontal and occipital regions. Yet, different alpha-band waves propagate from occipital to frontal regions and contralateral to the attended location. Crucially, these forward waves were present only during visual stimulation, suggesting a separate mechanism related to visual processing. Together, these results reveal two distinct processes reflected by different propagation directions, demonstrating the importance of considering oscillations as traveling waves when characterizing their functional role.

    1. Neuroscience

    Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

    Benjamin D Pedigo, Mike Powell ... Joshua T Vogelstein
    Research Article

    Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an open problem, and such analysis has not been extensively applied to nanoscale connectomes. Here, we investigate this problem via a case study on the bilateral symmetry of a larval Drosophila brain connectome. We translate notions of'bilateral symmetry' to generative models of the network structure of the left and right hemispheres, allowing us to test and refine our understanding of symmetry. We find significant differences in connection probabilities both across the entire left and right networks and between specific cell types. By rescaling connection probabilities or removing certain edges based on weight, we also present adjusted definitions of bilateral symmetry exhibited by this connectome. This work shows how statistical inferences from networks can inform the study of connectomes, facilitating future comparisons of neural structures.