1. Medicine
  2. Neuroscience

CaV2.1 channel mutations causing familial hemiplegic migraine type 1 increase the susceptibility for cortical spreading depolarizations and seizures and worsen outcome after experimental traumatic brain injury

  1. Nicole A Terpollili
  2. Reinhard Dolp
  3. Kai Waehner
  4. Susanne M Schwarzmaier
  5. Elisabeth Rumbler
  6. Boyan Todorov
  7. Michel D Ferrari
  8. Arn MJM van den Maagdenberg
  9. Nikolaus Plesnila  Is a corresponding author
  1. Institute for Stroke and Dementia Research, Munich University Hospital, Germany
  2. Department of Neurosurgery, Munich University Hospital, Germany
  3. Munich Cluster for Systems Neurology (SyNergy), Germany
  4. Department of Neurosurgery, Mannheim University, Germany
  5. Department of Anesthesiology, Munich University Hospital, Germany
  6. Department of Human Genetics, Leiden University Medical Center, Netherlands
  7. Department of Neurology, Leiden University Medical Center, Netherlands
https://doi.org/10.7554/eLife.74923
Share this article
Cite this article
  1. Nicole A Terpollili
  2. Reinhard Dolp
  3. Kai Waehner
  4. Susanne M Schwarzmaier
  5. Elisabeth Rumbler
  6. Boyan Todorov
  7. Michel D Ferrari
  8. Arn MJM van den Maagdenberg
  9. Nikolaus Plesnila
(2022)
CaV2.1 channel mutations causing familial hemiplegic migraine type 1 increase the susceptibility for cortical spreading depolarizations and seizures and worsen outcome after experimental traumatic brain injury
eLife 11:e74923.
https://doi.org/10.7554/eLife.74923
  2. Download BibTeX
  3. Download .RIS

Abstract

Patients suffering from familial hemiplegic migraine type 1 (FHM1) may have a disproportionally severe outcome after head trauma, but the underlying mechanisms are unclear. Hence, we subjected knock-in mice carrying the severer S218L or milder R192Q FHM1 gain-of-function missense mutation in the CACNA1A gene that encodes the α1A subunit of neuronal voltage-gated CaV2.1 (P/Q-type) calcium channels and their wild-type (WT) littermates to experimental traumatic brain injury (TBI) by controlled cortical impact and investigated cortical spreading depolarizations (CSDs), lesion volume, brain edema formation, and functional outcome. After TBI, all mutant mice displayed considerably more CSDs and seizures than WT mice, while S218L mutant mice had a substantially higher mortality. Brain edema formation and the resulting increase in intracranial pressure were more pronounced in mutant mice, while only S218L mutant mice had larger lesion volumes and worse functional outcome. Here, we show that gain of CaV2.1 channel function worsens histopathological and functional outcome after TBI in mice. This phenotype was associated with a higher number of CSDs, increased seizure activity, and more pronounced brain edema formation. Hence, our results suggest increased susceptibility for CSDs and seizures as potential mechanisms for bad outcome after TBI in FHM1 mutation carriers.

Editor's evaluation

This paper will be of considerable interest to familial hemiplegic migraine type 1 (FHM) sufferers who may experience traumatic brain injury (and their physicians), as well researchers with an interest in the spectrum and phenotypic consequences of mutations in the voltage-gated, P/Q-type Ca2+ channel, CACNA1A. The authors demonstrate that patients carrying a gain-of-function S218L missense mutation in CACNA1A exhibit a gene-dosage-dependent increase in the susceptibility to cortical spreading depolarization (CSD), seizure activity, and brain edema formation following TBI.

https://doi.org/10.7554/eLife.74923.sa0

Introduction

Familial hemiplegic migraine (FHM) is a rare monogenic subtype of migraine with aura caused by mutations in various genes (Ferrari et al., 2015). FHM type 1 (FHM1) is caused by specific missense mutations in CACNA1A that encodes the α1A subunit of neuronal voltage-gated CaV2.1 (P/Q-type) Ca2+ channels (Ophoff et al., 1996; Ferrari et al., 2015). While patients carrying the R192Q mutation display only hemiplegic migraine, those with the S218L mutation show additional clinical features, such as cerebellar ataxia and seizures (Ferrari et al., 2015). In patients with the S218L mutation, even trivial head trauma was shown to trigger severe, sometimes fatal attacks that are associated with seizures, coma, and massive brain edema (Fitzsimons and Wolfenden, 1985; Ophoff et al., 1996; Kors et al., 2001; Stam et al., 2009; Ferrari et al., 2015). The mechanisms underlying this phenotype have, however, not been identified.

Experiments performed in transgenic knock-in mice expressing the human FHM1 S218L CaV2.1 channel mutation (van den Maagdenberg et al., 2010) exhibit increased neuronal Ca2+ influx, enhanced cortical glutamatergic synaptic transmission, and an increased susceptibility to experimentally induced cortical spreading depolarizations (CSDs) (Eikermann-Haerter et al., 2009; van den Maagdenberg et al., 2010; Chanda et al., 2013; Ferrari et al., 2015; Vecchia et al., 2015). Since CSDs have been implicated in swelling of neuronal cells in healthy brain and were suggested to be involved in brain edema formation under pathological conditions (Takano et al., 2007; Seidel et al., 2016; Hartings et al., 2017), we hypothesized that a higher susceptibility to CSDs may result in overshooting edema formation and subsequent worsen outcome after traumatic brain injury (TBI) of FHM1 mutation carriers. To investigate this hypothesis, we exposed the two FHM1 mouse models carrying either the severer S218L or the milder R192Q CaV2.1 channel mutation and respective controls to experimental TBI and recorded CSDs together with brain edema formation, intracranial pressure (ICP), lesion volume, and neurological function.

Results

Induction of CSDs in wild-type mice

To demonstrate the functionality of our CSD recording setup using epicranial Calomel electrodes, we first induced CSDs in healthy wild-type (WT) mice by topical application of 2 µl 0.1 M KCl onto the cortex while simultaneously recording CSD events. CSDs were identified by a reduced amplitude of the electroencephalogram (EEG) signal and a negative shift in the direct current (DC) potential followed by a compensatory increase in local cerebral blood flow (CBF) (Figure 1C). Following TBI, we observed similar changes, that is a depression of the EEG and a negative shift of the DC signal, while CBF increased over both cerebral hemispheres (Figure 1D) indicating that brain trauma, unlike KCl application, induces bilateral CSDs, as previously described (von Baumgarten et al., 2008). Thus, using the currently used experimental setup we were able to record KCl induced as well as post-trauma CSDs.

Figure 1
Download asset Open asset
Design and methodology.

(A) Experimental plan. (B) Electrode placement. (C) Multiparametric recording of a cortical spreading depolarization (CSD) event elicited by application of 0.1 M potassium chloride (KCl): CSD is characterized by a negative direct current (DC) shift (middle panel, arrow), narrowing of electroencephalogram (EEG) amplitude (lower panel), and a consecutive cerebral hyperperfusion as indicated by an increase of cerebral blood flow (CBF) measured over the right hemisphere (ipsilateral to KCL application); CSD is restricted to the ipsilateral side, CBF on the contralateral hemisphere is not altered during CSD. (D) After controlled cortical impact (CCI), the DC shift is bidirectional, resulting in a pronounced change of EEG amplitude and is followed by a marked transient increase of cerebral perfusion first in the ipsilateral, then in the contralateral hemisphere.

CSD recordings before and after TBI in FHM1 mutant mice

After finishing the surgical preparation (skin incision, removal of the periosteum, drilling) and placing all measurement probes, baseline recordings for DC potential, CBF, and EEG were performed for 15 min. No CSDs were recorded during this period of time. Thereafter, the bone flap was removed in order to apply the trauma to the cerebral cortex. After removal of the bone flap, which is associated with (minor) mechanical stress to the dura mater, one or several CSDs were recorded in the ipsilateral hemisphere depending of the genotype of the animals. While only one CSD was observed in 2/18 investigated WT mice (n = 8 S218L WT littermates and n = 10 R192Q WT littermates) and in 3/10 heterozygous S218L mutant mice, all homozygous FHM1 mutant mice (n = 7 S218L and n = 8 R192Q mutant mice) showed at least one CSD. In homozygous S218L mutant mice even trains of up to four CSDs were observed after removal of the bone flap. In total 2, 3, 8, and 16 CSDs (0.1, 0.4, 1.3, and 2.3 CSDs/animal) were observed in WT, heterozygous S218L, homozygous R192Q, and homozygous S218L mutant mice, respectively. No further CSD activity was observed thereafter. These data indicate, that mechanical stress to the dura mater alone induced CSDs in 10% of WT mice, but in 100% of homozygous FHM1 mutant mice and that heterozygous and homozygous FHM1 mutant mice had four to eight times more CSDs than WT littermate controls, respectively. This finding suggests that FHM1 mutant mice have a higher, gene-dose-dependent (het S218L < hom. R192Q < hom. S218L) susceptibility to CSDs induced by mechanical stress to the dura mater as compared to their WT littermates.

After another 15 min of baseline recordings without further CSDs TBI was induced. All investigated animals generated one bihemispheric CSD immediately after the impact independent of their genotype as evidenced by a negative shift in the DC potential, a depression of the amplitude of the EEG signal, and a sequential increase of CBF in both hemispheres (Figure 2A) as already shown for WT mice (Figure 1D) and as previously published (von Baumgarten et al., 2008). After this initial bihemispheric CSD, only five additional CSDs were observed in the traumatized hemisphere of WT mice (n = 18; 0.2 CSDs/mouse/hr), findings well in line with previously published data from our laboratory (von Baumgarten et al., 2008). In contrast, all FHM1 mutant mice generated numerous post-trauma CSDs. In total 22, 37, and 79 CSDs (1.5, 2.5, and 7.5 CSDs/animal/hr) were observed in homozygous R192Q, heterozygous S218L, and homozygous S218L mutant mice, respectively (Figure 2B). Hence, homozygous R192Q, heterozygous S218L, and homozygous S218L mice generated 4, 7, and 16 times more CSDs after TBI than WT animals, respectively (p < 0.001 S218L hom. vs. S218L WT and p < 0.01 R192Q hom. vs. R192Q WT). Further, FHM1 mutant mice generated additional bihemispheric CSDs after TBI. While only two bilateral CSDs were observed in WT mice later than 5 min after TBI, 3, 9, and 29 bilateral CSDs were recorded in homozygous R192Q, heterozygous S218L, and homozygous S218L mutant mice, respectively. Heterozygous and homozygous S218L mutant mice also generated CSDs in the contralateral hemisphere (6 and 9, respectively), types of CSDs which we never observed in WT or R192Q mutant mice, the strain which carries the less severe FHM1 CaV2.1 channel mutation. Consequently, FHM1 mutant mice had a gene-dose-dependent several fold higher susceptibility for post-TBI CSDs than their WT littermates.

Figure 2
Download asset Open asset
Cortical spreading depolarizations (CSDs) and electroencephalogram (EEG) in familial hemiplegic migraine type 1 (FHM1) mutant mice after trauma.

(A) Exemplary multiparametric recording of a (male) homozygous S218L mutant mouse showing multiple posttraumatic CSDs (black arrows). After the end of the observation period (90 min post controlled cortical impact (CCI), 5400 s), 2 µl 0.1 M KCl was applied to trigger a CSD event. The majority of posttraumatic CSDs were recorded ipsilateral to CCI as indicated by a hyperperfusion over the ipsilateral cortex (dark gray cerebral blood flow [CBF] trace). However, in some instances, sequential hyperperfusion of both hemispheres (corresponding to a bihemispheric CSD) or an isolated contralateral hyperperfusion (corresponding to CSD originating in the contralateral, i.e., nontraumatized side) was observed after direct current (DC) and EEG changes characteristic for a CSD event. (B) After CCI, all mutant mice show a highly increased propensity for CSDs: S218L mutants showed a much higher frequency of CSD events during the 90 min observation time as compared to wild-type (WT) littermates (p < 0.001 S218L hom. vs. S218L WT, analysis of variance [ANOVA] on ranks). Also in the R192Q strain, homozygous mice experienced more CSDs than WT mice (p < 0.01 R192Q hom. vs. R192Q WT, ANOVA on ranks). S218L WT: n = 8; S218L het.: n = 10; S218L hom.: n = 7; R192Q WT: n = 10; R192Q hom.: n = 10.

Figure 2—source data 1

Figure 2B- Ipsilateral CSDs after TBI.

https://cdn.elifesciences.org/articles/74923/elife-74923-fig2-data1-v2.xlsx

Posttraumatic seizure activity

During the CSD and EEG recordings after TBI we observed intermittent and synchronized EEG activity with a frequency of 4–8 Hz in homozygous S218L mutant mice (Figure 3A) in parallel with tonic contraction of the tail and/or opisthotonus indicative of seizure activity. To characterize and quantify posttraumatic seizure activity systematically, a second cohort of heterozygous and homozygous S218L mutant mice and their WT littermates were followed by continuous video monitoring for 24 hr after TBI (n = 16, 17, and 18, respectively). Seizures were identified by either tonic or clonic contractions of the upper or lower limb contralateral to the traumatized hemisphere or by generalized tonic or clonic contractions. While only one seizure was observed in a single WT animal, all heterozygous and homozygous S218L mutant mice had at least one seizure. Some seizures (1.0 ± 1.3) were observed in heterozygous and 2.5 ± 5.7 seizures in homozygous S218L mutant mice (Figure 3B). In an additional cohort of WT, heterozygous, and homozygous S218L mice (n = 11 per group) we assessed the duration of seizures. While seizures in affected WT mice lasted only a few seconds (0.0 ± 0.4 min; Figure 3C), the cumulative seizure duration per animal was longer in heterozygous (2.0 ± 2.5 min), and much longer in homozygous S218L mutant mice (72 ± 44 min). While none of the 29 investigated WT mice and only one out of 28 investigated heterozygous S218L mutant mice died during seizures (3.6%), 21 out of 49 investigated homozygous S218L mutant mice (43%) died during a generalized tonic–clonic seizure after TBI.

Figure 3
Download asset Open asset
Posttraumatic seizures in familial hemiplegic migraine type 1 (FHM1) mutant mice after controlled cortical impact (CCI).

(A) Exemplary sections of the electroencephalogram (EEG) trace of a homozygous S218L mutant mouse: While EEG showed a normal pattern during baseline monitoring (upper curve), synchronized EEG activity with a frequency of 4–8 Hz as shown in the lower trace was recorded in S218L mutants only; during these phases mice intermittently showed tonic tail contraction and/or opisthotonus suggestive for seizure activity. (B) While seizures occurred very rarely in wild-type (WT) mice (one event in total group), S218L mutants experienced a high number of seizures. The total number of epileptic seizures per 24 hr was significantly higher in homozygous S218L mutant than in heterozygous S218L mutant and WT mice (n = 16–18 each; median ± 95% confidence interval, *p < 0.001, analysis of variance [ANOVA] on ranks). (C) Average duration of seizure activity in minutes per animal within the first 24 hr after CCI. Homozygous S218L mutants on average experienced 72 min of seizure activity in 24 hr while the few seizures occurring in heterozygous mutant and WT mice lasted significantly shorter (n = 11 each; median ± 95% confidence interval, *p ≤ 0.001, ANOVA on ranks).

Figure 3—source data 1

Figure 3B, C Number and duraration of seizures after TBI.

https://cdn.elifesciences.org/articles/74923/elife-74923-fig3-data1-v2.xlsx

Brain edema and ICP after TBI

Unhandled WT and FHM1 mice had a normal brain water content of around 77% before TBI (Figure 4A, B – naive). Sham-operated animals had no significant brain edema formation, while in traumatized mice brain water content increased by 3–4% in the traumatized and by 1.5–2% in the contralateral hemisphere 24 hr after TBI (Figure 4, 4 hr after trauma, light bars), values comparable to previously published data from our laboratory (Zweckberger et al., 2006; Trabold et al., 2010). Homozygotes of both FHM1 mutant mouse lines developed significantly more severe brain edema than WT controls (Figure 4A, B, 24 hr after trauma, dark bars). Brain edema formation led to an increase in ICP in all investigated groups (Figure 4C). Homozygotes of both FHM1 mutant lines had a significantly more pronounced intracranial hypertension than WT mice (Figure 4C).

Figure 4
Download asset Open asset
Brain edema formation in familial hemiplegic migraine type 1 (FHM1) mutant mice 24 hr after controlled cortical impact (CCI).

(A) Pretrauma brain water content (naive) is approximately 77.5% and comparable in all genotypes; sham operation (striped bars) does not induce significant changes of brain water content. Twenty-four hours after CCI, brain water content in the traumatized (right) hemisphere is significantly increased compared to the respective controls; in homozygous S218L mutant mice (dark gray bars) brain edema formation is significantly more pronounced than in wild-type (WT; white bars) and S218L heterozygous mutant mice (light gray bars). Heterozygous animals, in contrast, showed no difference to WT mice. In the contralateral/nontraumatized hemisphere only homozygous S218L mutant mice had a significant increase in brain water content. As in the traumatized hemisphere, brain water content was significantly higher in homozygous S218L mutants than in WT and heterozygous S218L mutant mice (sham/naive: n = 5–8/group; S218L hom./het.: n = 15–18 each; WT: n = 16; median ± 95% confidence interval, *p < 0.05, **p < 0.005 vs. naive brain water content, analysis of variance [ANOVA] on ranks). (B) In the R192Q strain, brain water content was within normal limits in naive and sham-operated animals; 24 hr after CCI, however, it was significantly increased in homozygous mutant mice (dark gray bars) in both hemispheres compared to WT (white bars) (Sham/naive: n = 4–5/group; R192Q hom.: n = 6; WT: n = 9; median ± 95% confidence interval, *p < 0.05, rank sum test). (C) Intracranial pressure (ICP) 24 hr after trauma was significantly elevated in S218L homozygous mice (left panel, dark gray bar) compared to WT (white bar) and heterozygous mutant mice (light gray bar); in the R192Q strain, ICP tended to be higher in mutant animals (right panel, dark gray bar) than in their WT littermates (white bar; S218L het.: n = 15; S218L hom.: n = 7; S218L WT: n = 15; R192Q hom.: n = 7; R192Q WT: n = 7; median ± 95% confidence interval, *p < 0.005, ANOVA on ranks).

Figure 4—source data 1

Figure 4 Brain edema formation after TBI.

https://cdn.elifesciences.org/articles/74923/elife-74923-fig4-data1-v2.xlsx

Since an increase in ICP reduces cerebral perfusion pressure thereby aggravating pericontusional ischemia, brain edema formation may also result in additional tissue injury after TBI. Indeed, homozygous S218L mutant mice showed a significantly higher lesion volume (23.0 ± 3.7 mm3) as compared to WT controls 24 hr after TBI (19.0 ± 1.9 mm3; p < 0.02; Figure 5A). Larger lesion volumes translated into worse neurological function in homozygous S218L mutant mice (Figure 5B). In line with these findings, homozygous S218L mutant mice also showed a pronounced weigh loss as a sign of a reduced physical condition (Figure 5C).

Figure 5
Download asset Open asset
Brain damage and functional outcome in familial hemiplegic migraine type 1 (FHM1) mutant mice 24 hr after controlled cortical impact (CCI).

(A) Volume of structural posttraumatic brain damage, that is contusion volume, was significantly higher in homozygous S218L mutant mice compared to heterozygous S218L mutant and wild-type (WT) animals; in the R192Q strain, lesion volume was only increased by trend (S218L hom./het.: n = 13–21 each; WT: n = 16; R192Q hom.: n = 9, WT: n = 10; median ± 95% confidence interval, *p < 0.5, analysis of variance [ANOVA] on ranks). (B) Performance in a multivariate neurological test (maximum deficit 20 points), expressed by differences of points obtained before and 24 hr after traumatic brain injury (TBI). Higher scores indicate higher deficits, that is healthy animals usually score 0–1.5 points. Homozygous S218L mutant mouse’s scores deteriorated significantly more than in the heterozygous S218L mutant or WT group (left panel). In the R192Q mutants, performance was comparable to WT mice (S218L hom./het.: n = 10–23 each; WT: n = 23; R192Q hom.: n = 9; WT: n = 10; median ± 95% confidence interval, *p < 0.005, ANOVA on ranks, Dunn’s post hoc test). (C) Weight loss 24 hr after CCI: heterozygous and homozygous S218L mutant mice lost significantly and gene dose dependently more weight, R192Q animals’ weight did not differ from their WT littermates (S218L hom./het.: n = 9–22; WT: n = 21; R192Q hom.: n = 14; WT: n = 18; median ± 95% confidence interval, *p < 0.05, ANOVA on ranks, Dunn’s post hoc test).

Figure 5—source data 1

Figure 5 Brain damage and functional outcome in FHM1 mutant mice after TBI.

https://cdn.elifesciences.org/articles/74923/elife-74923-fig5-data1-v2.xlsx

No major differences were observed between male and female animals (data not shown).

Discussion

The aim of the study was to identify possible mechanisms responsible for worse outcome after brain injury as this can sometimes be a severe consequence in patients suffering from FHM1. That is, patients with the S218L missense mutation suffer from hemiplegic migraine including cerebellar ataxia, epilepsy, and sometimes fatal attacks upon (mild) head trauma, while many patients with other CACNA1A mutations, like the R192Q mutation, suffer from hemiplegic migraine without an apparent risk for such additional clinical features (Ferrari et al., 2015). Therefore, we subjected knock-in mice that expressed either of the two FHM1 gain-of-function missense mutations in the α1A subunit of neuronal CaV2.1 Ca2+ channels to TBI and investigated CSDs, the electrophysiological correlate of the migraine aura. Homozygous mutant mice with the more severe S218L mutation showed 20 times more CSDs upon mechanical stimulation of the dura mater before TBI and almost 20 times more CSDs after TBI. Furthermore, homozygous S218L mutant mice had long-lasting generalized seizures after TBI, a high, seizure-associated posttraumatic mortality of 60%, more brain edema formation, higher ICP values, larger lesion volumes, and worse functional outcome after TBI as compared to heterozygous mice from the same mouse line, homozygous mice expressing the milder R192Q mutation, or WT mice. Hence, the current results suggest that the increased susceptibility of FHM1 mutant mice to mechanically induced CSDs may explain the worse outcome of human S218L mutation carriers after TBI.

FHM1 mutant mice exhibit increased susceptibility to CSD induced by electrical stimulation (van den Maagdenberg et al., 2004; van den Maagdenberg et al., 2010) or topical application of KCl to the cerebral cortex (Eikermann-Haerter et al., 2009). So far, it was unclear whether FHM1 mutant mice also have more CSDs after a traumatic insult (and mechanical stimulation because of the surgery) to the brain. In the present study, we observed CSDs in homozygous S218L and R192Q mutant mice in association with removing the bone flap when performing a craniotomy. Removing of the bone flap is always associated with some mechanical stress to the dura mater and to minimal, short-term bleeding from ruptured bridging veins. While this minimal invasive procedure is well tolerated by WT mice, it induced a significant number of CSDs right after the removal of the bone flap in FHM1 mutant mice. Of note, no spontaneous CSDs were observed in either genotype neither before nor later than 5 min after removal of the bone flat. This demonstrated an increased susceptibility of FHM1 mutant mice to CSDs due to mild mechanical stress to the dura mater. Since CSD is the electrophysiological correlate of the migraine aura, these findings corroborate the phenotype of FHM1 in humans, that is attacks of migraine with aura after mechanical stress to the brain.

After TBI FHM1 mutant mice showed an up to 20 times higher rate of CSDs in the traumatized hemisphere, a higher seizure activity, more brain edema formation, and a worse outcome as compared to WT littermates. CSDs have previously been detected in TBI patients (Mayevsky et al., 1996; Strong et al., 2002; Fabricius et al., 2006) and in animal TBI models (Takahashi et al., 1981; Ozawa et al., 1991; Nilsson et al., 1993; von Baumgarten et al., 2008). In clinical studies, in line with the current study, more CSDs were associated with worse outcome after TBI (Lauritzen et al., 2011, Hartings et al., 2011; Chase, 2014). The suggested mechanism of injury is an ATP-consuming repolarization event following a CSD not followed by a normal hyperemic but by a hypoemic blood flow response. Hypoemia causes a mismatch between blood flow and metabolism thereby inducing or aggravating local tissue ischemia (Hinzman et al., 2014). In a previous, as well as in the current, study, we did, however, not find hypoemia but hyperemia after TBI-induced CSD events (von Baumgarten et al., 2008). Hence, most likely not tissue ischemia but a direct effect of CSDs on cell swelling or on the permeability of the blood–brain barrier seem to be a more likely scenario how CSDs may cause tissue injury after TBI. That CSDs may directly open the blood–brain barrier has been previously demonstrated (Gursoy-Ozdemir et al., 2004) and suggested for a number of neurological disorders (Takano et al., 2007; Dreier and Reiffurth, 2017; Helbok et al., 2017; Dreier et al., 2018). Proposed injury mechanisms of CSDs include activation of matrix metalloproteinases (Gursoy-Ozdemir et al., 2004), activation of proinflammatory cytokines (Richter et al., 2017), and glutamate-mediated effects (Vinogradova, 2018; Crivellaro et al., 2021; Menyhárt et al., 2020), all of which also have been implicated in the pathophysiology of brain edema formation after TBI. Furthermore, glutamate toxicity – a known contributor to posttraumatic brain edema formation – maybe enhanced in FHM1 mice. Hence, the high number of CSDs currently observed in FHM1 mutant mice may be a valid explanation for increased brain edema formation and worse outcome. This increased intracranial hypertension, in turn, reduces cerebral perfusion pressure and thereby indirectly promotes cerebral ischemia. Alternatively, tissue ischemia may occur only in the traumatic penumbra, a narrow volume of tissue surrounding the traumatic contusion, which cannot be assessed with the methodology used. Hence, further studies using techniques with high spatial and temporal resolution, for example, multiphoton microscopy or fluorescence mesoscale imaging, will be needed to further explore vascular and CBF responses in peri- and paralesional brain tissue following TBI.

Interestingly, FHM1 mutant mice showed an increased rate of CSDs in the contralateral, nontraumatized hemisphere. Bihemispheric CSDs have been described in the currently used experimental TBI model, but only immediately after injury and not at later time points (von Baumgarten et al., 2008). Since CSDs may theoretically cross to the opposite side of the brain only through brain structures connecting both hemispheres, our results suggest that in FHM1 mutant mice post-trauma CSDs may reach deeper brain structures like the corpus callosum or the striatum. Such a scenario is supported by previous experiments showing that CSDs readily propagate into subcortical structures in FHM1 mutants, specifically in S218L mutants, with an allele-dosage effect (Eikermann-Haerter et al., 2011) and by a study showing by diffusion weighted MRI that CSDs migrate into subcortical striatal and hippocampal regions in the same strain of mice (Cain et al., 2017). Subcortical propagation of spreading depolarizations into deeper brain regions, even into thalamus in the case of homozygous S218L mutant mice, was proposed as an explanation for how CSDs may increase post-trauma mortality in FHM1 mutants. In fact, it was shown recently that in homozygous S218L mutant mice, seizure-related spreading depolarization in the brainstem correlated with respiratory arrest that was followed by cardiac arrest and death (Loonen et al., 2019). More precise, spreading depolarizations during spontaneous fatal seizures invaded the respiratory centers of the brainstem to cause apnea (Jansen et al., 2019). Whether similar phenomena can explain the observed subacute mortality of homozygous S218L mutant mice after TBI remains unknown and may be difficult to prove experimentally. In conclusion, we demonstrate that FHM1 mutant mice have more severe brain edema and worse outcome after TBI as compared with their WT littermates and that this phenotype is associated with a significant and gene-dose-dependent increase in the number of postinjury CSDs. Hence, we suggest that an increased susceptibility to CSDs is a likely mechanism underlying the unfavorable outcome of FHM1 mutant mice and FHM1 patients following head injury. Furthermore, our results suggest that post-trauma CSDs may induce brain edema formation more directly than previously envisaged, that is without affecting CBF. These mechanistic insights may open the door for further investigations into the mechanism of brain edema formation after TBI.

Materials and methods

Experiments, group size calculations, and the statistical approach were reviewed by the Animal Review Board and approved by the Veterinary Office of the Government of Upper Bavaria. Group size was calculated with Sigma Stat 3.0 (Jandel Scientific, Erkrath, Germany) using analysis of variance ANOVA and was based on the following parameters: minimal detectable difference between groups: 30%, SD: 15%, power: 0.8, p < 0.05. All acquired data are presented, that is no outliers were removed, and all results are reported in accordance with the ARRIVE 2.0 guidelines.

Experimental design

Request a detailed protocol

Male and female mice with a body weight between 21 and 26 g carrying the S218L (homozygous, heterozygous, WT littermates) or R192Q (homozygous and WT littermates) mutation in the Cacna1a gene were used for the current experiments. Animals were enrolled in the study until all groups reached the calculated group size 24 hr after trauma. All mice were genotyped using previously published protocols (van den Maagdenberg et al., 2004; van den Maagdenberg et al., 2010). An acute group for recording of CSDs for 90 min after TBI and three groups for the assessment of seizure activity, neurological outcome, brain edema, and ICP up to 24 hr after TBI were investigated (Figure 1A). Experiments were performed in a randomized manner by drawing lots and researchers were blinded toward the genotype of the animals until the end of data analysis.

Anesthesia and surgical preparations

Request a detailed protocol

Mice were anesthetized using an isoflurane chamber (4% isoflurane, 30 s). For trauma induction, anesthesia was continued with 1.2% isoflurane (30% O2/70% N2O) administered via a face mask. In all experiments with neurophysiological recordings anesthesia and monitoring was performed as described previously (Thal and Plesnila, 2007). Local CBF was measured above both hemispheres using a laser Doppler probe (Periflux 4,001 Master; Perimed, Stockholm, Sweden) glued onto the skull above the left and the right MCA territory as previously described (Figure 1B; Terpolilli et al., 2009).

Trauma induction

Request a detailed protocol

TBI was induced using the controlled cortical impact (CCI) model as previously described (von Baumgarten et al., 2008; Terpolilli et al., 2009; Terpolilli et al., 2013). In short, after craniotomy over the right parietal cortex (Figure 1B), the lesion was induced with a velocity of 6 m/s, an impact depth of 0.5 mm, and a contact time of 150 ms, settings that result in a cortical contusion (Schwarzmaier et al., 2015a, Schwarzmaier et al., 2015b). After TBI the bone flap was replaced and fixed with tissue glue.

Neurophysiological recordings

Request a detailed protocol

EEG and DC potential measurements were performed noninvasively using two miniature Calomel electrodes placed onto the skull bone anterior to the contusion and over the contralateral hemisphere and a ground electrode fixed to the parietal scalp (Figure 1B) as previously described (von Baumgarten et al., 2008).

Induction of CSD

Request a detailed protocol

CSD events were induced by application of 2 µl 0.1 M KCl on the intact dura mater through a burr hole anterior to the contusion (Figure 1B) as previously described (von Baumgarten et al., 2008). To confirm the preserved ability of the brain to generate CSDs, a KCl-induced CSD was elicited at the end of each experiment.

Measurement of ICP

Request a detailed protocol

ICP was measured in a separate group of mice (Figure 1A) 24 hr after trauma by an intraparenchymal probe (Mammendorfer Institut, Mammendorf, Germany) anterior to the contusion as previously described (Zweckberger et al., 2003; Terpolilli et al., 2013). Briefly, a small burr hole was drilled over the right parietal bone and the ICP probe was lowered into the brain parenchyma. After stabilization of the recordings, ICP was measured over a period of 3 min and averaged.

Histology and measurement of contusion volume

Request a detailed protocol

Contusion volume was determined by histomorphometry using 14 sequential Nissl-stained coronal sections acquired every 500 µm as previously described (Zweckberger et al., 2003; Terpolilli et al., 2013).

Measurement of brain water content

Request a detailed protocol

Brain water content, a measure for brain edema, was determined 24 hr after trauma using the wet–dry method and is presented as percentage of the total weight of the investigated tissue (Zweckberger et al., 2006).

Neurological outcome

Request a detailed protocol

Neurological outcome was assessed 1 hr before and 24 hr after trauma using a modified Neurological Severity Score (NSS; von Baumgarten et al., 2008). Zero points indicate no deficit, while 20 points indicate severe neurological deficits.

Statistical analysis and data presentation

Request a detailed protocol

All data were tested for normal distribution with the Kolmogorov–Smirnov test. Based on this analysis, the Mann–Whitney rank sum test was used for comparisons between two groups and ANOVA on ranks (Kruskal–Wallis) followed by Dunn’s post hoc test was used for comparing more than two groups. All calculations were performed with a standard statistical software package (Sigma Stat 3.0; Jandel Scientific, Erkrath, Germany). Differences between groups were considered statistically significant at p < 0.05. All data are presented as medians ± 95% confidence intervals and individual values.

Data availability

All data generated or analyzed during this study are included in the manuscript. Source data are available for all figures. Raw data are available at the Center for Open Science (OSF): https://osf.io/jqae2.

The following data sets were generated
    1. Plesnila N
    (2022) Open Science Foundation
    ID jqae. Mechanisms of brain injury after TBI in FHM1 mice.
    https://osf.io/jqae2

References

Decision letter

  1. Mark T Nelson
    Reviewing Editor; University of Vermont, United States
  2. Richard W Aldrich
    Senior Editor; The University of Texas at Austin, United States

Our editorial process produces two outputs: i) public reviews designed to be posted alongside the preprint for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Mutated neuronal voltage-gated CaV2.1 channels causing familial hemiplegic migraine 1 increase the susceptibility for cortical spreading depolarization and seizures and worsen outcome after experimental traumatic brain injury" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Richard Aldrich as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

1. Following CSDs, the authors describe an interval of hyperemia. However, looking at the CSF graph (Figure 2 A), apparently, there are delayed intervals of reduced blood flow in periods with lower CSD frequency. How do the authors interpret those?

2. Higher mortality in the S218L group is an important finding, however, except that the authors mentioned mice died during generalized tonic-clonic seizures, no further in depth studies have been provided. What would happen if the lesion would be titrated until mortality in S218L mice is zero.

3. Contralateral/belateral CSDs might also be related to variability of lesions, please discuss.

4. As stated in the first sentence of the discussion, the authors aimed at identifying possible mechanisms responsible for worst outcome after brain injury. Despite using transgenic animal models, the authors did not elaborate on cellular resp. molecular mechanisms. Those should at least be discussed.

5. Brain edema does not differ between both transgenic strains (homozygous S218L and R192Q) which also does not explain differences in the outcome measures, please discuss.

6. What was the rationale to measure ICP only at the endpoint of study and not over a longer period of time during the first 24 hours after CCI onset?

https://doi.org/10.7554/eLife.74923.sa1

Author response

Essential revisions:

1. Following CSDs, the authors describe an interval of hyperemia. However, looking at the CSF graph (Figure 2 A), apparently, there are delayed intervals of reduced blood flow in periods with lower CSD frequency. How do the authors interpret those?

Thank you for this comment. TBI induces brain swelling and subsequent intracranial hypertension. Intracranial hypertension reduces cerebral perfusion pressure and, hence, cerebral blood flow (in the whole brain) as we previously demonstrated [1, 2]. This is exactly what was also observed in the experiments shown in figure 2A: between CSDs CBF decreased in both hemispheres below baseline values. On top of this ICP-induced global reduction of CBF, CSDs induced hyperemia.

2. Higher mortality in the S218L group is an important finding, however, except that the authors mentioned mice died during generalized tonic-clonic seizures, no further in depth studies have been provided.

The finding that mice died during or shortly after a tonic-clonic seizure was obtained by clinical diagnosis, i.e. mice were observed by several investigators during the first 24 hours after TBI. A tonic-clonic seizure in a mouse is quite impressive and can therefore easily by diagnosed without any further analysis. Animals were unconscious during the post-ictal period and died during this period of unconsciousness by respiratory arrest. Based on this very clear clinical phenotype we decided not to perform any on depth analysis regarding the cause of death because such an analysis was outside the scope of study and would have required more transgenic mice, which were extremely hard to breed. We fully agree that the cause of death would be of interest, but in view of the high number of animals needed to perform such an investigation properly and the difficulties to breed the S218L line, we decided to use the available transgenic mice for the other experiments necessary to address the aims of the current study.

What would happen if the lesion would be titrated until mortality in S218L mice is zero.

This is a very interesting, but quite hypothetical question, since a quite large number of mice would be required to provide experimental proof for any statement on this issue. As stated above, the main cause of mortality are tonic-clonic seizures. Such seizures are caused, like CSDs, by a reduced threshold for neuronal network activity. Since S218L mice have such a reduced threshold for neuronal network activity that even minimal manipulations at the skull/meninges elicit CSDs (see our data on CSD before TBI), it is quite probable that any kind of mild or moderate trauma to the brain will cause tonic-clonic seizures. Therefore, my best guess is that any trauma intensity will result in tonic-clonic seizures and mortality in these animals. This is exactly what is also observed in patients carrying the S218L mutation: they develop massive brain swelling and may eventually die even after very minor head trauma. Hence, our mouse model replicates also this aspect of the human pathology.

3. Contralateral/belateral CSDs might also be related to variability of lesions, please discuss.

We can exclude with a relative high level confidence that an a priori lesion variability is the cause for contralateral/bilateral CSDs. The reason for this confidence is that the Controlled Cortical Impact TBI model used in the current study is extremely reproducible in terms of lesion size and location. The piston, which injures the cortex, is located on the surface of the brain with the help of a stereotactic device with an accuracy of 0.1 mm. The lesion itself shows a variability of only 5% (SD in % of the mean lesion volume of 8-12 mice). Usually biological models have variabilities of 20% and more. In our opinion there are therefore no reasons to believe that the variability of the TBI model itself is the reason for the observed contralateral/bilateral CSDs.

The best explanation we can offer why not all mice show contralateral/bilateral CSDs is the genotype of the S218L transgenic animals. We think that the increased edema formation in these animals leads to narrowing of the interhemispheric fissure facilitating the spread of a CSD to the contralateral hemisphere; also, the lower threshold and increased propagation velocity of CSDs in transgenic animals may lead to development of subcortical CSDs that travel along subcortical structures like the corpus callosum to the contralateral side. These CSD events then may promote lesion progression, resulting in a higher lesion size variability.

4. As stated in the first sentence of the discussion, the authors aimed at identifying possible mechanisms responsible for worst outcome after brain injury. Despite using transgenic animal models, the authors did not elaborate on cellular resp. molecular mechanisms. Those should at least be discussed.

Thank you very much. We edited the manuscript as following.

“Proposed injury mechanisms of CSDs include activation of matrix metallo-proteinases [3], activation of pro-inflammatory cytokines [4], and glutamate-mediated effects [5-7], all of which also have been implicated in the pathophysiology of brain edema formation after TBI. Furthermore, glutamate toxicity – a known contributor to posttraumatic brain edema formation – is most probably enhanced in FHM1 mice, which display a reduced threshold for neuronal activity. This is very much supported by the observed mortality during tonic-clonic seizures”

5. Brain edema does not differ between both transgenic strains (homozygous S218L and R192Q) which also does not explain differences in the outcome measures, please discuss.

Brain edema formation was assessed 24h after TBI, i.e. only in animals which survived until this time point. Animals which died before brain edema was measured, died most likely from seizures and excessive brain edema formation. Thus, the brain water content obtained 24h after TBI suffers from a high mortality bias. This interpretation is supported by brain water content measurement performed in single animals who died while being observed: values were much higher than in mice surviving until 24 hours.

6. What was the rationale to measure ICP only at the endpoint of study and not over a longer period of time during the first 24 hours after CCI onset?

Thank you for this comment. ICP measurements are performed with an intraparenchymal sensor and therefore requires anesthesia. In patients telemetric ICP sensors are under development, however, such wireless devices are rather large and not suitable for mice.

References

1. Terpolilli, N.A., et al., Inhaled nitric oxide reduces secondary brain damage after traumatic brain injury in mice. J. Cereb. Blood Flow Metab, 2013. 33(2): p. 311-318.

2. Terpolilli, N.A., et al., The novel nitric oxide synthase inhibitor 4-amino-tetrahydro-L-biopterine prevents brain edema formation and intracranial hypertension following traumatic brain injury in mice. J Neurotrauma, 2009. 26(11): p. 1963-75.

3. Gursoy-Ozdemir, Y., et al., Cortical spreading depression activates and upregulates MMP-9. J Clin Invest, 2004. 113(10): p. 1447-55.

4. Richter, F., et al., Effects of interleukin-1ß on cortical spreading depolarization and cerebral vasculature. J Cereb Blood Flow Metab, 2017. 37(5): p. 1791-1802.

5. Menyhárt, Á., et al., Malignant astrocyte swelling and impaired glutamate clearance drive the expansion of injurious spreading depolarization foci. J Cereb Blood Flow Metab, 2021: p. 271678x211040056.

6. Crivellaro, G., et al., Specific activation of GluN1-N2B NMDA receptors underlies facilitation of cortical spreading depression in a genetic mouse model of migraine with reduced astrocytic glutamate clearance. Neurobiol Dis, 2021. 156: p. 105419.

7. Vinogradova, L.V., Initiation of spreading depression by synaptic and network hyperactivity: Insights into trigger mechanisms of migraine aura. Cephalalgia, 2018. 38(6): p. 1177-1187.

https://doi.org/10.7554/eLife.74923.sa2

Article and author information

Author details

  1. Nicole A Terpollili

    1. Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany
    2. Department of Neurosurgery, Munich University Hospital, Munich, Germany
    3. Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
    Contribution
    Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7070-3113

  2. Reinhard Dolp

    Department of Neurosurgery, Munich University Hospital, Munich, Germany
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  3. Kai Waehner

    Department of Neurosurgery, Mannheim University, Mannheim, Germany
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  4. Susanne M Schwarzmaier

    1. Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany
    2. Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
    3. Department of Anesthesiology, Munich University Hospital, Mannheim, Germany
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared

  5. Elisabeth Rumbler

    Department of Neurosurgery, Munich University Hospital, Munich, Germany
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  6. Boyan Todorov

    Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
    Contribution
    Investigation, Methodology
    Competing interests
    No competing interests declared

  7. Michel D Ferrari

    Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
    Contribution
    Conceptualization, Methodology, Resources, Supervision
    Competing interests
    No competing interests declared

  8. Arn MJM van den Maagdenberg

    1. Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
    2. Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
    Contribution
    Conceptualization, Methodology, Writing – original draft, Writing – review and editing
    Competing interests
    No competing interests declared

  9. Nikolaus Plesnila

    1. Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany
    2. Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
    Contribution
    Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review and editing
    For correspondence
    nikolaus.plesnila@med.uni-muenchen.de
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8832-228X

Funding

University of Munich FoeFoLe Program (#669)

  • Nicole A Terpollili

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (918.56.602)

  • Arn MJM van den Maagdenberg

Centre of Medical System Biology (050-060-409)

  • Arn MJM van den Maagdenberg

European Commission (FP7-EUROHEADPAIN)

  • Arn MJM van den Maagdenberg

Deutsche Forschungsgemeinschaft (EXC 2145 SyNergy - ID 390857198)

  • Nikolaus Plesnila

Defence for Health Affairs, Australia (W81XWH1910098)

  • Arn MJM van den Maagdenberg

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

Acknowledgements

Data contained in this paper are part of the doctoral thesis of Reinhard Dolp. This study was funded by Munich University FöFoLe Grant #669 (NT), the Netherlands Organization for Scientific Research (NWO) VICI 918.56.602 (MF), the Centre of Medical System Biology (CMSB) in the framework of the Netherlands Genomics Initiative (NGI) 050-060-409 (AvdM), and the European Community (EC) FP7-EUROHEADPAIN (no. 602633; AvdM & MF), the Assistant Secretary of Defence for Health Affairs endorsed by the Department of Defence, through FY 2018 Peer Reviewed Medical Research Program Discovery Award (No. W81XWH1910098; AvdM; Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the Department of Defence), and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy – ID 390857198; NP).

Ethics

This study was reviewed by the Ethics Board and approved by the Veterinary Office of the Government of Upper Bavaria (protocol # 118/05). All of the animals were handled according to approved institutional animal care protocols. All surgery was performed in deep inhalation anesthesia and animals received appropriate analgesia postsurgery. Every effort was made to minimize suffering.

Senior Editor

  1. Richard W Aldrich, The University of Texas at Austin, United States

Reviewing Editor

  1. Mark T Nelson, University of Vermont, United States

Publication history

  1. Received: October 21, 2021
  2. Preprint posted: December 2, 2021 (view preprint)
  3. Accepted: March 2, 2022
  4. Accepted Manuscript published: March 3, 2022 (version 1)
  5. Version of Record published: March 14, 2022 (version 2)

Copyright

© 2022, Terpollili 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.

Metrics

  • 555
    Page views
  • 86
    Downloads
  • 2
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Nicole A Terpollili
  2. Reinhard Dolp
  3. Kai Waehner
  4. Susanne M Schwarzmaier
  5. Elisabeth Rumbler
  6. Boyan Todorov
  7. Michel D Ferrari
  8. Arn MJM van den Maagdenberg
  9. Nikolaus Plesnila
(2022)
CaV2.1 channel mutations causing familial hemiplegic migraine type 1 increase the susceptibility for cortical spreading depolarizations and seizures and worsen outcome after experimental traumatic brain injury
eLife 11:e74923.
https://doi.org/10.7554/eLife.74923

Categories and tags

Research organism

Further reading

    1. Medicine
    2. Neuroscience

    Oxytocin administration enhances pleasantness and neural responses to gentle stroking but not moderate pressure social touch by increasing peripheral concentrations

    Yuanshu Chen, Haochen Zou ... Keith M Kendrick
    Research Article Updated

    Background:

    Social touch constitutes a key component of human social relationships, although in some conditions with social dysfunction, such as autism, it can be perceived as unpleasant. We have previously shown that intranasal administration of oxytocin facilitates the pleasantness of social touch and activation of brain reward and social processing regions, although it is unclear if it influences responses to gentle stroking touch mediated by cutaneous C-touch fibers or pressure touch mediated by other types of fibers. Additionally, it is unclear whether endogenous oxytocin acts via direct entry into the brain or by increased peripheral blood concentrations.

    Methods:

    In a randomized controlled design, we compared effects of intranasal (direct entry into the brain and increased peripheral concentrations) and oral (only peripheral increases) oxytocin on behavioral and neural responses to social touch targeting C-touch (gentle-stroking) or other (medium pressure without stroking) cutaneous receptors.

    Results:

    Although both types of touch were perceived as pleasant, intranasal and oral oxytocin equivalently enhanced pleasantness ratings and responses of reward, orbitofrontal cortex, and social processing, superior temporal sulcus, regions only to gentle-stroking not medium pressure touch. Furthermore, increased blood oxytocin concentrations predicted the pleasantness of gentle stroking touch. The specificity of neural effects of oxytocin on C-touch targeted gentle stroking touch were confirmed by time-course extraction and classification analysis.

    Conclusions:

    Increased peripheral concentrations of oxytocin primarily modulate its behavioral and neural responses to gentle social touch mediated by C-touch fibers. Findings have potential implications for using oxytocin therapeutically in conditions where social touch is unpleasant.

    Funding:

    Key Technological Projects of Guangdong Province grant 2018B030335001.

    Clinical trial number:

    NCT05265806

    1. Biochemistry and Chemical Biology
    2. Medicine

    Improved isolation of extracellular vesicles by removal of both free proteins and lipoproteins

    Dmitry Ter-Ovanesyan, Tal Gilboa ... David R Walt
    Research Advance

    Extracellular vesicles (EVs) are released by all cells into biofluids such as plasma. The separation of EVs from highly abundant free proteins and similarly sized lipoproteins remains technically challenging. We developed a digital ELISA assay based on Single Molecule Array (Simoa) technology for ApoB-100, the protein component of several lipoproteins. Combining this ApoB-100 assay with previously developed Simoa assays for albumin and three tetraspanin proteins found on EVs (Ter-Ovanesyan, Norman et al., 2021), we were able to measure the separation of EVs from both lipoproteins and free proteins. We used these five assays to compare EV separation from lipoproteins using size exclusion chromatography with resins containing different pore sizes. We also developed improved methods for EV isolation based on combining several types of chromatography resins in the same column. We present a simple approach to quantitatively measure the main impurities of EV isolation in plasma and apply this approach to develop novel methods for enriching EVs from human plasma. These methods will enable applications where high-purity EVs are required to both understand EV biology and profile EVs for biomarker discovery.

    1. Medicine

    Osteonecrosis in Gaucher Disease in the era of multiple therapies: biomarker set for risk stratification from a tertiary referral center

    Mohsen Basiri, Mohammad E Ghaffari ... Pramod K Mistry
    Research Article

    Background: A salutary effect of treatments for Gaucher disease (GD) has been reduction in the incidence of avascular osteonecrosis (AVN). However, there are reports of AVN in patients receiving enzyme replacement therapy (ERT), and it is not known whether it is related to individual treatments, GBA genotypes, phenotypes, biomarkers of residual disease activity or anti-drug antibodies.

    Objective: Prompted by development of AVN in several patients receiving ERT, we aimed to delineate the determinants of AVN in patients receiving ERT or eliglustat substrate reduction therapy (SRT) during 20 years in a tertiary referral center.

    Methods: Longitudinal follow-ups of 155 GD patients between 2001 and 2021, were analyzed for episodes of AVN on therapy, type of therapy, GBA1 genotype, spleen status, biomarkers, and other disease indicators. We applied mixed-effects logistic model to delineate the independent correlates of AVN while receiving treatment.

    Results: The patients received cumulative 1382 years of treatment. There were 16 episodes of AVN in 14 patients, with two episodes, each occurring in two patients. Heteroallelic p.Asn409Ser GD1 patients were 10 times (95% CI,1.5 - 67.2) more likely than p.Asn409Ser homozygous patients to develop osteonecrosis during treatment. History of AVN prior to treatment initiation was associated with 4.8-fold increased risk of AVN on treatment (95% CI, 1.5-15.2). The risk of AVN among patients receiving velaglucerase ERT was 4.68 times higher compared to patients receiving imiglucerase ERT (95% CI,1.67-13). No patient receiving eliglustat SRT suffered AVN. There was a significant correlation between GlcSph levels and AVN. Together, these biomarkers reliably predicted risk of AVN during therapy (ROC AUC 0.894, p<0.001).

    Conclusions: There is a low, but significant risk of AVN in GD in the era of ERT/SRT. We found increased risk of AVN was related to GBA genotype, history of AVN prior to treatment initiation, residual serum GlcSph level, and the type of ERT. No patient receiving SRT developed AVN. These findings exemplify a new approach to biomarker applications in a rare inborn error of metabolism to evaluate clinical outcomes in comprehensively followed patients and will aid identification of GD patients at higher risk of AVN who will benefit from closer monitoring and treatment optimization.

    Funding: LSD Training Fellowship from Sanofi to MB.