Abstract
Neuropeptidergic control of lipid metabolism is conserved and increasingly implicated in metabolic diseases, but receptor-level mechanisms remain unclear. Here we identify the neurokinin-2 receptor (NK2R) as a central node linking tachykinin signals to intestinal lipid mobilization, epithelial composition, and mucosal inflammation. Across complementary genetic and pharmacological perturbations, modulation of NK2R drives bidirectional effects. Loss or blockade of NK2R increases postprandial triglyceridemia and expands intestinal lipid stores, whereas agonism suppresses chylomicron output, reduces adiposity, and improves glycemia in diet-induced obesity. Transcriptomic and cellular analyses indicate coordinated upregulation of lipid-metabolic programs with a concomitant dampening of immune pathways in the absence of NK2R, accompanied by sex-specific remodeling of secretory lineages and male-biased protection from colitis. NK2R signaling also shaped the fecal microbiota in a genotype- and diet-dependent manner, highlighting crosstalk among neuropeptide signaling, epithelial physiology, and host-microbe interactions. These findings position NK2R as a molecular switch for intestinal lipid handling and mucosal inflammation and suggest that NK2R-targeted agonists or antagonists could be deployed as context- and sex-dependent therapeutic strategies for metabolic disease and inflammatory bowel disease.
Introduction
Neuropeptidergic control of lipid metabolism is increasingly recognized as a conserved feature of energy homeostasis1–7. Using the C. elegans model system, we had previously delineated a brain-to-gut neuroendocrine axis in which the sensory neuron-derived neuropeptide FLP-7 activates the intestinal G protein-coupled receptor NPR-22 to stimulate fat mobilization via induction of the adipocyte triglyceride lipase ATGL-1 and trigger fat loss via mitochondrial β-oxidation and increased energy expenditure2,8. Phylogenetic analyses show that FLP-7 sequence resembles the mammalian tachykinin peptide family, and NPR-22 is the C. elegans ortholog of the mammalian neurokinin-2 receptor (NK2R)2. We have established NPR-22 as both necessary and sufficient for driving fat loss in the worm intestine2. Taken together, these findings are consistent with a conserved mammalian tachykinin-NK2R axis controlling lipid mobilization, prompting our examination of mammalian tachykinins and their receptors.
The mammalian tachykinins, including substance P, neurokinin A, and neurokinin B, constitute a conserved neuropeptide family that has historically been known to mediate nociception, inflammation, cancer progression, and gastrointestinal functions9–13. These ligands signal through three G protein-coupled receptors (GPCRs): neurokinin-1 receptor (NK1R), neurokinin-2 receptor (NK2R), and neurokinin-3 receptor (NK3R), which are preferentially activated by substance P, neurokinin A, and neurokinin B, respectively. Prior studies have established NK1R as a key regulator of pain, inflammation, and immune responses14–17. NK1R antagonists have demonstrated therapeutic potential by attenuating blood-brain barrier dysfunction, cerebral edema, and pro-inflammatory cytokine levels in traumatic brain injury models18–21. In contrast, NK3R has been extensively studied in reproductive biology and neurological disorders11,22,23. The neurokinin B-NK3R signaling is critical for hypothalamic-pituitary-gonadal axis function, with an NK3R antagonist now clinically deployed to relieve menopausal vasomotor symptoms24,25. Beyond reproduction, NK3R has also been implicated in addiction, pain, and psychiatric disorders22,26–28.
By comparison, NK2R regulates diverse physiological processes, including smooth muscle contraction, nociception, intestinal fluid secretion, and reproductive functions29–34. Although NK2R is expressed in multiple tissues, including the gastrointestinal tract, lung, and immune system35–41, its specific roles in metabolism and immunity remain poorly defined. A recent study42 reported that the administration of a selective NK2R peptide agonist increases energy expenditure, reduces fat mass, and suppresses appetite, highlighting its therapeutic potential for cardiometabolic diseases, including obesity and diabetes. However, the molecular mechanisms engaged by NK2R agonism are largely unknown.
Results
Expression pattern of Tachykinin Receptor 2 (Tacr2)
Our prior work in C. elegans showed that the CeNK2R gene npr-22 is expressed in a few pairs of head neurons and in the intestine, but not in the muscle or hypodermal tissues2 (Fig. 1a). We examined Tacr2 expression in mammalian species: the Human Protein Atlas43,44 RNA-seq datasets revealed that human TACR2 (hTACR2) is preferentially co-expressed with genes enriched in the intestinal “digestion” cluster (Fig. 1b). In contrast, hTACR1 and hTACR3 clustered with transcripts characteristic of connective tissue and retina, respectively (Extended Data Fig. 1a). Consistent with these patterns, quantitative PCR across mouse small-intestinal segments showed that Tacr2 mRNA levels exceeded those of Tacr1 and Tacr3 along the entire proximal-distal axis (Fig. 1c). Immunofluorescence localized the NK2R protein to the basolateral membrane of mouse intestinal epithelial cells (Fig. 1d), indicating a potential role in responsiveness to internal physiological signals rather than luminal nutrients. These results are consistent with our previous findings in C. elegans2, in which NPR-22, the invertebrate ortholog of NK2R, is similarly expressed in intestinal cells and responds to internal signals from sensory neurons.

Tachykinin receptor 2 tissue expression
a, Fluorescent image of a transgenic C. elegans expressing npr-22::GFP under the control of the endogenous npr-22 promoter. GFP expression was detected in the intestinal cells and in several pairs of neurons in the head. A, anterior; P, posterior; V, ventral; D, dorsal. Scale bar, 50 μm. b, UMAP visualization depicting gene clusters based on mRNA expression profiles from The Human Protein Atlas44 (HPA). The cluster containing hTacr2 (cluster 45, comprising 300 genes) is highlighted in blue. Functional annotation provided by HPA characterizes the shared specificity (Intestine) and biological function (Digestion) of genes within this cluster. c, The gene expression levels of Tacr1, Tacr2, and Tacr3 were assessed throughout the entire mouse small intestine using qPCR. The intestine was divided into eight equal segments, each measuring approximately 4-5 cm. Actb was used as the housekeeping gene. Data are presented as the fold change relative to the expression level of Tacr2 in the first segment ± SEM. n = 6 biological replicates. d, Fluorescent image of mouse jejunum stained with NK2R antibody (green) and DAPI (blue). Scale bar: 20 μm. Inset: magnified view of the region enclosed by the white line in the fluorescent image. The jejunum was harvested from male C57BL6/J mice (8 weeks old, low-fat diet). e, The strategy of CRISPR-Cas9 mediated genome editing, depicting the genomic region of Tacr2 and the locations of the Cas9 cutting sites for Tacr2-/-. The deleted exon 2 is marked in red. f, qPCR analysis of Tacr2 mRNA expression in intestinal epithelial RNA isolated from male and female control and Tacr2-/- mice. n = 7 male control, n = 6 female control, n = 6 male Tacr2-/-, n= 6 female Tacr2-/-. g,j, Body weights of male (g) and female (j) Tacr2-/- and control mice (8-12 weeks old) were monitored weekly over a 10-week period while maintained on a low-fat diet (LFD). n = 8 control and n = 12 Tacr2-/-mice (g); n = 11 control and n = 13 Tacr2-/- mice (j). h,k, Following an overnight fast, male (h) and female (k) mice were re-fed with either LFD or HFD, and cumulative food intake was measured over a 4 hr refeeding period. n = 7 control (LFD), n = 7 Tacr2-/- (LFD), n = 7 control (HFD), and n = 8 Tacr2-/- (HFD) mice (h); n = 6 per group (k). i,l, Glucose tolerance tests were performed in week 10 in male (i) and female (l) mice. n = 5 control and n = 6 Tacr2-/-mice per group. Data was analyzed using an unpaired Student’s t-test (two-tailed) (f,h,k) or two-way ANOVA with repeated measures (g,i,j,l). Data are shown as mean ± SEM. nsp>0.05. Black bars/lines represent control mice; red bars/lines represent Tacr2-/- mice.
Generation of Tacr2-null mice and analysis of gene expression in response to dietary challenges
To investigate NK2R function in vivo, we generated global Tacr2-null (Tacr2-/-) mice by CRISPR-Cas9 gene editing (Fig. 1e). qPCR of jejunal epithelium confirmed loss of Tacr2 transcripts (Fig. 1f) without compensatory up-regulation of Tacr1 or Tacr3 (Extended Data Fig. 1b). Tacr2-/- mice of both sexes were grossly normal, displaying wild-type body mass, re-feeding behavior and glucose tolerance (Fig. 1g-l).
Given the role of the C. elegans ortholog NPR-22 in intestinal lipid metabolism2, we wished to determine whether NK2R modulates mammalian intestinal lipid handling. Tacr2-/- and wild-type littermates were maintained for one week on either a low-fat diet (LFD) or a western-style high-fat diet (HFD) before jejunal epithelial RNA was profiled by RNA-seq (Fig. 2a). Body mass remained comparable between Tacr2-/- and wild-type littermates of both sexes on either LFD or HFD (Extended Data Fig. 2a, b).

Sex-specific transcriptional responses to high-fat diet in Tacr2-/- mice
a, Schematic of the experimental workflow. Control and Tacr2-/- mice were fed a low-fat diet (LFD) or high-fat diet (HFD) for 1 week before sacrifice. Following tissue collection, the upper intestinal epithelial layer was isolated, and total RNA was extracted for subsequent bulk RNA sequencing. Panel created with BioRender.com/17nczm5. b, Principal component analysis (PCA) of the RNA-Seq data from male control and Tacr2-/-mice on LFD or HFD. n = 3 control (LFD), n = 3 control (HFD), n = 4 Tacr2-/-(LFD), n = 3 Tacr2-/- (HFD). c,d, Volcano plots of differentially expressed genes in male Tacr2-/- versus control mice under LFD (c) or HFD (d) conditions. e-h, Gene ontology (GO) enrichment analyses of genes differentially expressed in male Tacr2-/- mice versus controls on LFD (e, upregulated; f, downregulated) or HFD (g, upregulated; h, downregulated). Bubble size indicates the number of genes associated with each GO term, and color represents the false discovery rate (FDR). i, Principal component analysis of RNA-Seq data from female control and Tacr2-/- mice on LFD or HFD. n = 4 control (LFD), n = 4 control (HFD), n = 3 Tacr2-/-(LFD), n = 3 Tacr2-/- (HFD). j,k, Volcano plots of differentially expressed genes in female Tacr2-/- versus control mice under LFD (j) or HFD (k) conditions. l-o, Gene ontology enrichment analyses of genes differentially expressed in female Tacr2-/-mice versus controls on LFD (l, upregulated; m, downregulated) or HFD (n, upregulated; o, downregulated). Bubble size and color reflect gene count and FDR, respectively. p,q, Venn diagrams showing overlap of differentially expressed genes (adjusted p-value < 0.05 and |log2 fold change| > 1.0) between LFD and HFD conditions in male (p) and female (q) datasets. Numbers indicate the number of shared or unique genes between conditions.
In males, principal component analysis (PCA) revealed distinct clustering patterns: the wild-type mice clustered closely irrespective of diet; Tacr2-/- mice fed a LFD formed a separate cluster from wild-types; Tacr2-/- mice fed a HFD exhibited markedly different clustering compared to all other groups (Fig. 2b). Only 221 genes were differentially expressed (DE) between genotypes on LFD, whereas 3030 genes were DE on HFD (Fig. 2c, d), suggesting that loss of Tacr2 selectively sensitizes the male intestinal epithelium to dietary fat. Interestingly, Gene Ontology (GO) enrichment linked up-regulated transcripts to lipid-metabolic pathways and down-regulated transcripts to immune and inflammatory processes (Fig. 2e-h), concordant with prior C. elegans work that demonstrates a role for NK2R in intestinal lipid metabolism2,8.
In females, the PCA was driven principally by genotype rather than diet (Fig. 2i). The number of DE genes remained similar under LFD and HFD (Fig. 2j, k), yet functional annotations mirrored those in males: lipid metabolism among up-regulated genes and immune response among down-regulated genes (Fig. 2l-o). Overlap between diet-specific DE gene sets was modest in males but substantial in females (Fig. 2p, q), indicating a differential response in males to dietary fat in the absence of NK2R.
NK2R governs epithelial lineage allocation and intestinal inflammation
Interestingly, genes downregulated in Tacr2-/- jejunum of both sexes were enriched for GO terms linked to immune response, immune regulation and leukocyte activation (Fig. 2f, h, m, o), indicating an overall dampening of mucosal immunity. Bisque deconvolution45 of bulk RNA-seq revealed a basal shift in epithelial lineages in male Tacr2-/- mice (Fig. 3a). Tuft and transit-amplifying (TA) cell signatures were elevated, whereas stem-cell and goblet-cell signatures were reduced; HFD further exacerbated these baseline genotype differences, notably by reducing the relative proportion of enterocytes. Paneth cell signatures declined after HFD in both genotypes, consistent with previous studies46,47, while endocrine cell abundance was unchanged. In contrast, female mice showed only minor alterations (Extended Data Fig. 3a); in Tacr2-/- females, HFD lowered stem-cell and enterocyte signatures and increased TA cells.

NK2R inhibition attenuates DSS-induced weight loss and intestinal inflammation in male mice
a, Bulk RNA-Seq data were integrated with publicly available single-cell RNA-Seq datasets to estimate cell-type composition in the small intestine of male mice. Differences in estimated cell-type proportions were analyzed based on diet (D), genotype (G), or their interaction (I). b, Schematic representation of the experimental workflow for the DSS-induced colitis model. Male and female mice received DSS solution (3% for males, 5% for females) or vehicle (drinking water) ad libitum for 7 consecutive days. Following treatment, tissues were collected for downstream analyses or subjected to an in vivo gut permeability assay. Panel created with BioRender.com/r5jdhzu. c, Daily monitoring of body weights in male control and Tacr2-/- mice treated with DSS or vehicle over a 7-day period. n = 5 control (H2O), n = 5 control (DSS), n = 6 Tacr2-/-(H2O), and n = 6 Tacr2-/- (DSS). d, Comparison of body weight changes from baseline (day 0) to day 7, derived from the data shown in panels (c). e,f, Lipocalin-2 (LCN2) concentrations in blood (e) and feces (f) from male control and Tacr2-/-mice after 7 days of DSS or vehicle treatment, as determined by ELISA. n = 6 control (H2O), n = 5 control (DSS), n = 4 Tacr2-/- (H2O), and n = 4 Tacr2-/- (DSS) for (e); n = 5 control (H2O), n = 5 control (DSS), n = 5 Tacr2-/- (H2O), and n = 4 Tacr2-/- (DSS) for (f). g, Colon tissues from male control and Tacr2-/-mice treated with DSS or vehicle for 7 days were collected, sectioned, and stained with hematoxylin and eosin (H&E). Representative images of stained colon sections are shown. h, Representative histological images (g) were evaluated and scored according to the degree of tissue damage. n = 5 control (H2O), n = 4 control (DSS), n = 6 Tacr2-/- (H2O), and n = 4 Tacr2-/-(DSS). i, Gut permeability in male control and Tacr2-/-mice following 7 days of DSS or vehicle treatment was assessed by oral gavage of 4 kDa FITC-dextran. Blood was collected 4 hours post-gavage, and FITC fluorescence was measured in plasma to quantify gut barrier integrity. n = 10 control (H2O), n = 9 control (DSS), n = 9 Tacr2-/- (H2O), and n = 8 Tacr2-/- (DSS). j, Daily monitoring of body weights in male wild-type mice treated with DSS or vehicle for 7 days, in combination with daily injections of the NK2R antagonist GR159897 (2.5 mg/kg) or vehicle (PBS). DSS administration was discontinued on day 7. n = 8 (H2O+Vehicle), n = 8 (DSS+Vehicle), n = 7 (DSS+GR159897). k, Comparison of body weight changes from baseline (day 0) to day 8, derived from the data shown in panel (j). l,m, Lipocalin-2 (LCN2) concentrations in blood (l) and feces (m) from male wild-type mice with indicated treatment on day 8, as determined by ELISA. n = 8 (H2O+Vehicle), n = 7 (DSS+Vehicle), and n = 8 (DSS+GR159897) for (l); n = 7 (H2O+Vehicle), n = 8 (DSS+Vehicle), and n = 8 (DSS+GR159897) for (m). n, Colon tissues from male wild-type mice with indicated treatment on day 8 were collected, sectioned, and stained with hematoxylin and eosin (H&E). Representative histological images were evaluated and scored according to the degree of tissue damage. n = 8 (H2O+Vehicle), n = 8 (DSS+Vehicle), and n = 8 (DSS+GR159897). Statistical analysis was performed using one-way or two-way ANOVA followed by Holm-Sidak post hoc tests. Data are shown as mean ± SEM, ****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05. Black bars/lines represent control mice; red bars/lines represent Tacr2-/- or GR159897-treated mice.
Building on the transcriptional changes in immune-related genes observed in Tacr2-/- mice, we next assessed functional consequences of Tacr2 loss in vivo by inducing colitis in mice using the well-established dextran sodium sulfate (DSS) model48 (Fig. 3b). Male Tacr2-/- mice were protected from the deleterious effects of induced colitis, exhibiting attenuated weight loss, reduced plasma and fecal lipocalin-2 (LCN2) concentration (a marker of intestinal inflammation49), ameliorated histopathology with preserved architecture and less immune-cell infiltration. In a second experiment performed under identical conditions, we observed improved epithelial barrier function indicated by reduced FITC-dextran permeability via the intestinal lumen (Fig. 3c-i). In contrast, female Tacr2-/- mice showed no protection in weight loss or plasma LCN2, increased fecal LCN2, and histological injury comparable to controls, although barrier integrity was partially maintained (Extended Data Fig. 3b-h). Of note, male Tacr2-/- mice exhibited increased numbers of differentially expressed genes following HFD, an inflammatory insult50–53, and demonstrated colitis protection, whereas female Tacr2-/-mice lacked this expanded gene expression response and did not exhibit protection against DSS-induced colitis. Together, these data indicate a sex-dependent transcriptional and functional responses to inflammatory challenge in the absence of NK2R.
Prompted by this result, we tested whether acute receptor antagonism via a selective NK2R antagonist would phenocopy the genetic absence, and help ascertain translational tractability. Single-dose pharmacological inhibition corroborated the genetic findings: daily administration of the selective NK2R antagonist GR159897 during DSS exposure mitigated weight loss, suppressed plasma and fecal LCN2, and improved histological scores in males (Fig. 3j-n). Together, these data identify NK2R as a sex-dependent regulator of epithelial lineage allocation and susceptibility to mucosal injury.
Role of NK2R in Lipid Metabolism
Guided by our jejunal epithelial RNA-seq results, we next wished to determine the role of NK2R in lipid metabolism. Genes up-regulated in the Tacr2-/- jejunal epithelium were enriched for GO categories related to lipid and small-molecule metabolism, and this signature persisted and was further amplified under HFD challenge, indicating enhanced sensitivity to luminal lipid load. Because enterocyte lipid uptake culminates in cytosolic lipid droplet (LD) storage before export as chylomicrons, we profiled a curated set of 116 LD-associated genes54 to examine whether NK2R modulates LD dynamics. In Tacr2-/- males, hierarchical clustering segregated HFD-fed Tacr2-/- samples from all other groups, whereas wild-type (WT) controls clustered together irrespective of diet (Fig. 4a). Tacr2-/- females also exhibited broad up-regulation of LD genes, although clustering by genotype and diet was less pronounced (Extended Data Fig. 5a).

Tacr2-/-mice exhibit enhanced intestinal lipid absorption
a, Heat maps display Z-scores of normalized expression levels for genes encoding lipid droplet-associated proteins in male mice across experimental conditions. Hierarchical clustering of individual samples (top dendrogram) and genes (left dendrogram) is shown, with branch lengths reflecting the similarity between clusters. Wild-type control (WT) samples are labeled in black text, Tacr2-/-(KO) samples in red text, and samples from mice on a high-fat diet (HFD) are indicated in bold. b, Schematic representation of the experimental workflow for assessing intestinal lipid absorption. Mice were administered an oral gavage of oil containing either 14C-triolein (c,f) or C16-BODIPY (d,e,g,h), followed by quantification of lipids in intestinal tissue and blood. Panel created with BioRender.com/bb165i5. c,f, Oral lipid tolerance test (OLTT) was performed in male (c) and female (f) control and Tacr2-/- mice. Blood lipid levels were measured over a 4-hour period following oral gavage and expressed as disintegrations per minute (DPM) per μL of plasma. n = 8 control males, n = 7 Tacr2-/-males for (c); n = 7 control females, n = 9 Tacr2-/- females for (f). d,g, BODIPY fluorescence was measured in intestinal sections from male (d) and female (g) control and Tacr2-/-mice following oral gavage with oil containing C16-BODIPY. n = 5 control males, n = 5 Tacr2-/- males (d); n = 6 control females, n = 7 Tacr2-/- females (g). e,h, Representative fluorescence images of intestinal sections from male (e) and female (h) mice corresponding to the samples shown in panels (d) and (g), respectively. i, Triglyceride levels were measured in each plasma fraction from wildtype mice fed a HFD for 10 weeks and pretreated with LPL inhibitor and either vehicle, the NK2R agonist GR64349, or NK2R antagonist GR159897 prior to oral oil gavage. n=8 mice per treatment group. j, Representative images and quantification of Oil Red O (ORO)-stained intestinal sections from male and female control and Tacr2-/- mice following 12 weeks of HFD feeding. n = 4 control males, n = 4 Tacr2-/- males, n = 4 control females, n = 4 Tacr2-/-females. k, Schematic representation of the experimental workflow for assessing the effects of NK2R agonism on body mass. Diet-induced obese (DIO) wild-type mice were administered daily intraperitoneal injections of EB1002 or vehicle for 21 consecutive days. Panel created with BioRender.com/3cj6oym. l,m, Body weights (l) and food intake (m) were monitored over a 3-week period in lean and diet-induced obese (DIO) mice treated with vehicle, high-dose EB1002 (1000 nmol), or low-dose EB1002 (300 nmol). n = 8 (lean: vehicle), n = 7 (DIO: vehicle), n = 8 (DIO: EB1002, 1000nmol) and n = 8 (DIO: EB1002, 300nmol). n, The fasted blood glucose levels were determined in lean and diet-induced obese (DIO) mice treated with vehicle or high-dose EB1002 (1000 nmol). n = 4 (lean: vehicle), n = 4 (DIO: vehicle), and n = 4 (DIO: EB1002, 1000nmol). o, Lean mass and fat mass were measured over 3 weeks in lean and diet-induced obese (DIO) mice treated with vehicle, high-dose EB1002 (1000 nmol), or low-dose EB1002 (300 nmol). n = 8 (lean: vehicle), n = 7 (DIO: vehicle), n = 8 (DIO: EB1002, 1000nmol) and n = 8 (DIO: EB1002, 300nmol). Statistical analyses were performed using two-way ANOVA with repeated measures (c,d,f,g,l,m), unpaired two-tailed Student’s t-test (b,j), one-way ANOVA with Holm-Sidak post hoc analysis (n), or two-way ANOVA with Holm-Sidak post hoc analysis (o). Data are presented as mean ± SEM. ****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05, nsp>0.05. Black bars/lines indicate control mice, red bars/lines indicate Tacr2-/- mice and blue bars/lines indicate NK2R agonist-treated mice.
The enrichment of lipid-metabolic pathways and coordinated upregulation of the enterocyte LD program in the Tacr2-/- jejunal epithelium suggested that NK2R constrains the absorptive phase of dietary lipid handling and therefore regulates luminal lipid uptake. Following oil gavage, Tacr2-/- mice exhibited normal gastrointestinal transit (Extended Data Fig. 4a) but displayed a higher post-prandial triglyceride excursion (oral lipid-tolerance test, OLTT) and increased jejunal lipid retention 4 h after dosing in both sexes (Fig. 4b-h). Importantly, the OLTT reports the appearance of intestinally derived triglycerides in plasma. Thus, the enhanced excursion in Tacr2-/- mice indicates increased intestinal lipid entry into the circulation. The concurrent increase in jejunal lipid stores suggests that luminal uptake and intracellular storage of lipids are augmented, consistent with the observed induction of the LD program. Furthermore, pharmacological modulation recapitulated these effects: in diet-induced obese mice pre-treated with tyloxapol to inhibit lipoprotein lipase (LPL) and to block peripheral triglyceride clearance, the NK2R antagonist GR159897 elevated chylomicron/very-low-density lipoprotein (VLDL) triglycerides, whereas the NK2R agonist GR64349 produced the opposite outcome (Fig. 4i). Chronic HFD feeding for 12 weeks markedly expanded intestinal epithelial LD stores in Tacr2-/- mice of both sexes relative to wild-type controls (∼2-fold in males, ∼5-fold in females; Fig. 4j) without altering food intake, intestinal motility, metabolic rates, or locomotor activity (Extended Data Figs. 4b-k, 5b-k). Together, these data support a model in which NK2R signaling tonically regulates lipid metabolism in enterocytes by tuning luminal lipid uptake, intracellular LD storage and chylomicron secretion.
Since adipose tissue is one of the major depots for chylomicron-derived fatty acids55, the intestinal phenotypes above predict altered lipid delivery to fat depots. Moreover, Tacr2 expression in white adipose tissue (WAT) (Extended Data Fig. 6a) raises the possibility of adipose-autonomous NK2R actions independent of the intestine. We therefore asked whether loss of NK2R remodels adipose transcriptional programs and wished to distinguish secondary consequences of increased intestinal export from adipose-intrinsic NK2R effects. Tacr2 is expressed in WAT, with comparable expression in both adipocyte and mesenchymal cell fractions (Extended Data Fig. 6a). To assess potential transcriptional changes, we performed RNA sequencing with perigonadal WAT at early (1 week) and chronic (12 weeks) time points after HFD exposure. (Extended Data Fig. 6b). Remarkably, the PCA revealed no genotype-dependent clustering in either male or female mice at either time point (Extended Data Fig. 6c-j). Furthermore, the number of differentially expressed genes between Tacr2-/- and wild-type mice was negligible, indicating that Tacr2 deletion does not appreciably alter the WAT transcriptome under HFD conditions. Together, these results suggest that, despite robust intestine-specific effects on lipid metabolism, the absence of NK2R has a limited impact on adipose transcriptional remodeling during diet-induced obesity.
Given that acute pharmacological activation of NK2R lowered chylomicron-associated triglycerides, we next asked whether sustained NK2R agonism alters whole-body energy balance. Diet-induced obese (DIO) mice received daily intraperitoneal injections of the NK2R-selective peptide agonist EB1002 (1000 nmol per kg) for 21 days (Fig. 4k). EB1002 is a long-acting NK2R agonist recently reported by the Gerhart-Hines group to improve cardiometabolic parameters in DIO models42. In our experiments, EB1002 treatment reduced body weight, perigonadal fat mass, and fasting glycemia of DIO mice relative to vehicle controls, concordant with the recent report42 (Fig. 4l, n, o). Food intake was transiently suppressed during the first week of treatment but normalized thereafter (Fig. 4m), indicating that the weight loss was not solely attributable to persistent hypophagia. Together with the acute lipid-handling phenotypes, these data position NK2R as a key direct regulator of intestinal lipid mobilization and long-term systemic energy balance.
Male Tacr2-/- mice have altered microbial populations
To determine whether Tacr2-/- males are uniquely prone to HFD-induced dysbiosis, fecal bacterial communities were profiled by 16S rRNA gene sequencing. α-diversity, assessed by the Shannon index, was reduced in Tacr2-/- mice irrespective of diet (Fig. 5a). β-diversity analysis (weighted UniFrac distances) revealed significant main effects of genotype (PERMANOVA, p=0.002) and diet (p=0.017), as well as a genotype-diet interaction (p=0.001) (Fig. 5b), indicating that both factors independently and synergistically shape the fecal microbiota, with Tacr2 deletion predisposing to larger diet-driven compositional shifts.

16S rRNA sequencing analysis of gut microbial populations
a, Shannon index (α-diversity) of fecal microbial populations in control and Tacr2-/- mice fed a LFD or HFD. n = 7 control (LFD), n = 7 control (HFD), n = 8 Tacr2-/- (LFD), n = 8 Tacr2-/-(HFD). Data were analyzed using two-way ANOVA followed by Holm-Sidak’s post hoc analysis; genotype effect: p = 0.039, diet effect: ns, genotype x diet interaction: ns. b, Principal Coordinate Analysis (PCoA) plot based on weighted UniFrac distances illustrating β-diversity of microbial communities in Tacr2-/- and control mice fed a LFD or HFD. Each point represents a microbial community from an individual sample, color-coded by genotype (Tacr2-/-, red; control, black) and diet (LFD, open circles; HFD, closed circles). c, Microbial populations were sorted at the phylum level across experimental conditions. Firmicutes/Bacteroidetes (F/B) ratio was calculated in control and Tacr2-/- mice fed a LFD or HFD. n = 7 control (LFD), n = 8 Tacr2-/- (LFD), n = 7 control (HFD), n = 8 Tacr2-/-(HFD). Data were analyzed using two-way ANOVA followed by Holm-Sidak post hoc analysis. Data are shown as mean ± SEM; **p<0.01, *p<0.05. d,e, Operational Taxonomic Units (OTUs) were analyzed using Linear Discriminant Effect Size (LEfSe) to identify taxa differentially enriched by diet or genotype. d, Bar graph showing Linear Discriminant Analysis (LDA) scores for 66 diet-dependent OTUs (34 associated with LFD, 32 associated with HFD). e, Bar graph showing LDA scores for 104 genotype-dependent OTUs (60 associated with control mice, 44 associated in Tacr2-/- mice). f, Relative abundances of 18 OTUs shared between the diet- and genotype-dependent analyses. OTUs were filtered using a Linear Discriminant Analysis (LDA) score threshold > 2.0. In panels (d) and (e), OTUs shared between diet and genotype analyses are indicated in green text. Schematic in panel created with BioRender.com/o7o48zt.
At the phylum level, HFD feeding increased the relative abundance of Firmicutes and concomitantly decreased Bacteroidetes, yielding the characteristic rise in the Firmicutes:Bacteroidetes ratio46,56,57 (Fig. 5c). A similar shift was observed in Tacr2-/-mice under HFD conditions. Linear discriminant analysis effect size (LEfSe) identified 66 operational taxonomic units (OTUs) that were diet-responsive and 104 that were genotype-responsive (Fig. 5d, e); 18 OTUs were influenced by both variables (Fig. 5f). Notably, OTU 215 was completely absent in Tacr2-/- mice, revealing a genotype-specific microbial deficit.
Discussion
In this report we identify neurokinin-2 receptor (NK2R) signaling as a nexus between intestinal lipid handling, mucosal immunity and host-microbe interactions. Tacr2 deletion or acute pharmacological antagonism augmented chylomicron export and massively expanded lipid-droplet (LD) stores in jejunal enterocytes, whereas NK2R agonism suppressed post-prandial triglyceridemia and reduced adiposity. These bidirectional effects suggest that NK2R serves as a molecular switch for intestinal lipid mobilization. The downstream cascade by which NK2R transduces neuropeptidergic input to LD dynamics remains to be elucidated; however, transcriptomic profiling of Tacr2-/- jejunal epithelium from the present study uncovered the coordinated up-regulation of a core LD gene module, suggesting that tonic NK2R activity normally restrains this program.
Bisque deconvolution revealed that Tacr2-null males, but not females, remodeled goblet and tuft cell lineages when challenged with a HFD. These secretory cell types shape barrier function and epithelial sensing of luminal antigens58,59 and are associated with intestinal inflammatory responses60–63, providing a plausible link to the striking male-specific protection from DSS-induced colitis. The absence of similar lineage shifts in females may underlie their failure to gain colitis resistance despite harboring ever larger epithelial lipid stores. Sex hormones, which modulate tachykinin and receptor expression64,65, may be one contributing factor to this divergence and warrant further study.
Gut-innervating nociceptors regulate mucosal protection against dietary, microbial, and inflammatory insults66–68. These nociceptors control mucin secretion from goblet cells, to create a physical barrier between the epithelium and the luminal contents69. Recent evidence suggests that nociceptor-derived Substance P plays a crucial role in regulating mucosal protection during colitis and dysbiosis66. Tac1 excision (which encodes both Substance P and NKA, the endogenous ligand for NK2R) from these neurons aggravates colitis66, whereas global NK2R ablation confers male-biased protection, suggesting that proinflammatory signaling through NK2R on immune or stromal cells may outweigh epithelial loss of tachykinin responsiveness during injury. In future efforts, conditional Tacr2 deletion in distinct tissues as well as intestinal epithelial versus hematopoietic compartments will be essential to define the cell- and tissue-specific roles of NK2R.
Consistent with previous studies57, the HFD increased the fecal Firmicutes:Bacteroidetes (F:B) ratio after only one week, and this shift was reproduced in Tacr2-/- mice. We note here that our diets are matched for nutritional composition, differing only in fat and sugar sources and percent of total %kcal, limiting confounding effects of dietary fiber in our study. 18 operational OTUs were jointly influenced by genotype and diet; 12 belonged to the Clostridiales order [Families: Lachnospiraceae (5), Ruminococcaceae (3), and unclassified lineages (4)]. Members of Lachnospiraceae have been linked to constipation, whereas Ruminococcaceae abundance correlates with irritable bowel syndrome and type 2 diabetes70. Notably, the HFD expanded Ruminococcus gnavus (OTU575) and depleted Akkermansia muciniphila (OTU 1438), a combination associated with impaired barrier function through altered immune tolerance, short-chain fatty acid production and mucin layer maintenance71–73. Conversely, Bifidobacterium pseudolongum (OUT 9), which is often negatively associated with metabolic and inflammatory disorders74–76, was increased. Although this composite profile resembles that observed in inflammatory bowel disease, Tacr2 deletion conferred resistance to DSS-induced colitis in males. These findings underscore the complexity of host-microbiota interactions and suggest that NK2R signaling modulates intestinal inflammation through mechanisms that extend beyond simple taxonomic shifts, potentially involving neuropeptide-dependent regulation of epithelial and immune function.
Collectively, our findings position NK2R at the intersection of metabolic and inflammatory pathways in the intestine, supporting the tachykinin-NK2R axis as highly tractable to therapeutic intervention. In principle, NK2R agonists could be leveraged to treat metabolic diseases including obesity, whereas NK2R antagonists may ameliorate mucosal inflammation in inflammatory bowel disease. The pronounced sexual dimorphism underscores the need to consider sex as a biological variable in the development of NK2R-targeted therapeutics. Based on our findings, we expect that delineating the precise mechanisms by which NK2R integrates neuronal, immune, and microbial cues to regulate lipid droplet dynamics and mucosal immunity in the intestine will yield important mechanistic insights and advance the development of targeted therapies for metabolic and inflammatory diseases.
Methods
Animals
Male and female C57BL/6J mice (8-12 weeks old) were group-housed under a 12-h light/dark cycle with free access to food and water. Animals were fed either a low-fat control diet (CD; D14042701, Research Diets, New Brunswick, NJ; 73% kcal carbohydrate, 10% kcal fat, 17% kcal protein) or a Western-style high-fat diet (HFD; D12079B, Research Diets; 43% kcal carbohydrate, 40% kcal fat, 17% kcal protein). Body weights were measured weekly between 0900 and 1100 hours. All animal protocols were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) at The Scripps Research Institute.
RNA extraction and RT-qPCR analysis
Mice were euthanized between 0900 and 1100 hours, and tissues were promptly collected and washed with ice-cold phosphate-buffered saline (PBS, 4°C) before snap-freezing in liquid nitrogen. The small intestine was washed with chilled PBS, opened longitudinally on ice, and the contents were removed. Intestinal epithelium was isolated by scraping with glass slides from the underlying submucosal layer and snap-frozen in liquid nitrogen. Samples were stored at −80°C until processing. Tissues were homogenized in TRIzol reagent, followed by phase separation with 1-bromo-3-chloropropane via centrifugation (8000g, 4°C). The upper aqueous phase was collected, and total RNA was purified using an RNeasy Mini Kit (Cat. No. 74104, Qiagen, Redwood City, CA) per the manufacturer’s instructions. cDNA synthesis was performed using iScript Reverse Transcription Supermix (Cat. No. 1708840, Bio-Rad, Hercules, CA). Quantitative PCR was conducted using SsoAdvanced Universal SYBR Green Supermix (Bio-Rad) according to the manufacturer’s protocols. Gene expression was normalized to reference housekeeping genes (Actb, Rplp0, or Hprt). RNA integrity was preserved by sanitizing all surfaces with 70% ethanol and RNase inhibitor (RNase OUT, G-Biosciences, St. Louis, MO). Data normalization was performed against either the small intestine or Vil1 expression. Primer sequences are listed in the Supplementary Table 1.
Immunohistochemistry
The proximal small intestine was excised and flushed with ice-cold modified Bouin’s fixative, then fixed in 10% buffered formalin for 24 hours at room temperature. Tissue was embedded and frozen in optimal cutting temperature (OCT) compound (Fisher Healthcare, Chino, CA) on dry ice. Sections (16 μm) were cut using a cryostat (Leica), mounted onto charged glass slides, permeabilized with 0.025% Triton X-100 in TBS, and blocked with 10% normal donkey serum and 1% bovine serum albumin (BSA) in TBST (Millipore Sigma, Cat. No. 566460). Sections were incubated with primary rabbit antibody against Neurokinin 2 Receptor (NK2R; 20 µg/mL; Cat. No. ATR-002, Alomone Labs, Jerusalem, Israel), followed by incubation with AlexaFluor 488-conjugated donkey anti-rabbit secondary antibody (Cat. No. A-21206, Thermo Fisher Scientific). Sections were washed, mounted with ProLong Gold Antifade reagent containing DAPI (Thermo Fisher Scientific) for nuclear staining, and imaged using a Nikon A1 confocal microscope with a 60x objective at room temperature. Image processing was conducted using ImageJ software version 2.0.0 (NIH, Bethesda, MD).
CRISPR-Cas9 gene editing
Two single-guide RNAs (sgRNAs) were designed to target intronic regions flanking exon 2 of the Tacr2 gene. A single-stranded DNA (ssDNA) repair template (721 nucleotides) containing homology arms (80 nucleotides each) flanking exon 2 and a LoxP sequence within the intronic regions was synthesized. Following Cas9-mediated DNA cleavage and homologous recombination using the ssDNA repair template, loxP sites were integrated flanking exon 2 to generate Tacr2fl/fl mice. Non-homologous end joining after Cas9 cleavage resulted in the deletion of exon 2, generating Tacr2−/− mice. Constructs (1 ng/µL) were microinjected into fertilized eggs to produce genetically modified mice, which were validated by sequencing. Genotyping primer sequences are listed in the Supplementary Table 2.
Glucose Tolerance Test
Mice were fasted for 12 h prior to glucose tolerance testing. Fasted mice received an intraperitoneal injection of glucose solution (10% w/v) at a dose of 1 g glucose per kg body weight. Blood glucose concentrations were measured from tail blood samples at 0, 15, 30, 45, 60, and 120 min post-injection using a commercial handheld glucometer.
RNA sequencing and analysis
RNA from intestinal epithelium was extracted as described above. Total RNA samples were prepared into RNA-Seq libraries using the NEBNext® Ultra II Directional RNA Library Prep Kit for Illumina following the manufacturer’s recommended protocol. Briefly, for each sample, 200 ng total RNA was polyA selected, and converted to double-stranded cDNA followed by fragmentation and ligation of sequencing adapters. The libraries were then PCR amplified 12 cycles using barcoded PCR primers, purified, and size selected using AMPure XP Beads before loading onto an Illumina NextSeq 2000 for 100 base single-read sequencing. Raw sequencing reads were quality-assessed using FastQC, and adapters were removed using Cutadapt. Trimmed reads were aligned to the mouse reference genome (ENSEMBL GRCm38) using STAR aligner version 2.6.1d77. The distribution of mapped reads across genomic features was analyzed with RSeQC v3.0.1. Differential gene expression analysis was performed using DESeq2 (v2.11.40.8) implemented in R (v4.2.2) via the Galaxy platform. Genes were considered significantly differentially expressed at thresholds of adjusted P < 0.05 and absolute log2 fold-change >1.0. Gene ontology, pathway enrichment, and network analyses were conducted using ShinyGO v0.8078. Cell-type-specific deconvolution was performed using BisqueRNA v1.0.5 against a published single-cell RNA sequencing dataset profiling mouse small intestinal epithelium79,80. Raw and processed sequencing data will be deposited in the Gene Expression Omnibus (GEO).
Radioactive Tracer Oil challenges
Mice were fasted overnight prior to testing. Fasted mice were pretreated with Poloxamer-407. 10 g of Poloxamer-407 were resuspended in 100 mL of 0.9% NaCl saline and stirred overnight at 4°C. 10 µL/g of body weight was administered by intraperitoneal injection right before the oil gavage with 3 μCi [3H] triolein. Blood was collected at time 0, 1, 2, and 4 h, and the plasma was separated by centrifugation. Radioactivity was measured by scintillation.
C16-BODIPY absorption assay
Mice were fasted overnight before receiving an oral gavage of olive oil containing 2 µg/g body weight of fluorescently labeled fatty acid analog C16-BODIPY (4,4-difluoro-5,7-dimethyl-4-bora-3a,4a-diaza-s-indacene-3-hexadecanoic acid; Thermo Fisher, cat. no. D3821) administered at a volume of 10 µL/g body weight. Mice were euthanized 4 h post-gavage, and intestinal tissues were collected, snap-frozen, sectioned, and imaged as previously described81.
Gastrointestinal transit assay
Gastrointestinal transit time was assessed by oral gavage of a semi-liquid Evans Blue dye suspension (5% Evans Blue, 0.5% methylcellulose in phosphate-buffered saline; 100 µL per mouse). Following gavage, mice were monitored individually, and the time to appearance of the first blue-colored fecal pellet was recorded. Measurements were conducted in mice maintained on a control diet or after 12 weeks on a high-fat diet (HFD), as previously described82.
FPLC assay
Mice were fasted overnight prior to testing and pretreated with either lipoprotein lipase (LPL) inhibitor Tyloxapol (500 µg/g body weight), vehicle (PBS), the NK2R agonist GR64349 (10 mg/kg), or the NK2R antagonist GR159897 (10 mg/kg). Following pretreatment, mice received an oral gavage of olive oil. Blood plasma was collected 2 h post-gavage, separated by fast protein liquid chromatography (FPLC), and triglyceride levels were quantified across collected fractions.
Fecal lipid extraction
Mice were housed in wire-bottom cages for 12 h to collect fecal pellets. Pellets were dried, weighed, and pulverized using a mortar and pestle, then incubated in a 2:1 (v/v) chloroform:methanol solution. Samples were vortexed for 1 min and centrifuged at 1,000g for 10 min. The lower organic phase was collected, dried, and the residual lipids were weighed. Lipid content was normalized to the initial dried fecal weight83.
Feeding behavior (CLAMS)
Indirect calorimetry was performed using a computer-controlled, open-circuit system (Oxymax System) integrated into the Comprehensive Lab Animal Monitoring System (CLAMS; Columbus Instruments, Columbus, OH)84,85. Single-housed, acclimated mice were placed into clear respiratory chambers (20 × 10 × 12.5 cm) equipped with a water sipper tube, a food tray connected to a balance for continuous food intake measurement, and 16 photobeams arranged in two axes at 0.5-inch intervals to monitor motor activity. Room air was circulated through each chamber at a flow rate of 0.5 L/min, and exhaust air was sampled every 15 min for 1 min. Oxygen consumption (VO2) and carbon dioxide production (VCO₂) were measured using O2 and CO2 sensors (Columbus Instruments), and respiratory exchange ratio (RER) was calculated as VCO2/VO2. All metabolic parameters were normalized to lean body mass, which was determined by EchoMRI analysis.
Dextran sulfate sodium (DSS) colitis model
Colitis was induced by providing mice with ad libitum access to drinking water containing dextran sulfate sodium (DSS; 3.0% w/v for males, 5.0% w/v for females; MP Biomedicals, cat. no. MFCD00081551) for 7 consecutive days. Mice were monitored daily for changes in body weight and clinical condition. Animals that lost more than 25% of their initial body weight were euthanized and excluded from further analysis. On day 7, all remaining mice were euthanized, and tissues were collected for downstream analyses86.
Tissue scoring parameters
The intact colon was collected, flushed with chilled phosphate-buffered saline (PBS), and fixed overnight in 4% paraformaldehyde (PFA) in PBS. The distal 1 cm segment was cryosectioned, stained with hematoxylin and eosin (H&E), and imaged. Histological sections were scored based on epithelial integrity (0-4) and immune cell infiltration (0-4) for a maximum aggregate score of 0-887. Epithelial integrity was scored as follows: 0, normal morphology; 1, loss of goblet cells; 2, loss of goblet cells in multiple regions; 3, loss of crypts; 4, loss of crypts in multiple regions. Immune cell infiltration was scored as follows: 0, no infiltration; 1, infiltration around the crypt base; 2, infiltration reaching the lamina muscularis; 3, extensive infiltration of the lamina muscularis with mucosal thickening and edema; 4, infiltration extending into the submucosa.
Fecal protein extraction for Lipocalin-2 quantification
Fecal pellets were collected at the time of sacrifice and flash-frozen in liquid nitrogen. Approximately 100 mg of frozen feces per sample was weighed, suspended in 1 mL of 1% Tween-20 in PBS, and vortexed vigorously for 10 min. Samples were then centrifuged at 15,000g for 10 min at 4°C. The resulting supernatant was collected and diluted (1:50 for control samples, 1:2000 for DSS-treated samples) prior to measurement of Lipocalin-2 concentrations using a commercial mouse Lipocalin-2 ELISA kit (R&D Systems, cat. no. DY1857)49.
Intestinal permeability assay
Mice were fasted beginning at 09:00 for 4 h prior to oral gavage with fluorescein isothiocyanate-dextran 4000 (FD4; Millipore Sigma, cat. no. 46944) at a dose of 0.6 mg/g body weight from a 100 mg/mL stock solution. Four hours after gavage, blood was collected via cardiac puncture into BD Microtainer tubes containing lithium heparin and maintained on ice. Plasma was isolated by centrifugation at 5,000g for 5 min at 4°C. Plasma from fasted mice that did not receive FD4 was used to generate a standard curve (0-10 µg/mL FD4), and plasma FD4 concentrations in experimental samples were quantified accordingly88,89.
Microbiome 16S rRNA sequencing and microbial analysis
Fecal pellets were collected from mice, and genomic bacterial DNA was extracted using the DNeasy PowerLyzer PowerSoil Kit (Qiagen, cat. no. 12855) according to the manufacturer’s instructions. DNA concentration was quantified and samples were submitted to GENEWIZ (South Plainfield, NJ, USA) for 16S-EZ sequencing using Illumina paired-end 2 × 250 bp methodology. Raw sequence reads were processed with Cutadapt (v1.9.1) to remove adapter sequences and assigned to operational taxonomic units (OTUs) based on a 97% similarity threshold using VSEARCH (v1.9.1) and QIIME (v1.9.1). Differential microbial abundance analyses were performed using linear discriminant analysis effect size (LEfSe)90.
Statistical analysis
Data are presented as mean ± SEM. The number of biological replicates is provided in the figure legends. Comparisons between two groups were performed using unpaired two-tailed Student’s t-tests. Repeated measures two-way ANOVA was used for comparisons across time points, and one-way or two-way ANOVA followed by Sidak’s or Tukey’s post hoc multiple comparisons tests, as appropriate, were used for analyses involving more than two groups. Differences in UniFrac distances were assessed using PERMANOVA. Statistical significance was defined as P < 0.05. Outliers were identified using Grubb’s test. All statistical analyses were performed using GraphPad Prism v10.3.
Data availability
RNA sequence data will be deposited in GEO. We'll submit the data once the repository is operational again, as the GEO FTP server is currently down due to the government shutdown. All data generated or analyzed during this study are included in the manuscript; source data files have been provided for all figures.
Supplementary figures and tables

Tacr1 and Tacr3 expression in Tacr2-/- male mice.
a, UMAP visualization depicting gene clusters based on mRNA expression profiles from The Human Protein Atlas44 (HPA). The clusters containing hTacr1 (cluster 62, comprising 389 genes) and hTacr3 (cluster 76, comprising 175 genes) are highlighted. Functional annotation provided by HPA characterizes the shared specificity (Connective tissue or Retina) and biological function (ECM organization or Visual perception) of genes within the clusters. b, qPCR analysis of Tacr1 and Tacr3 mRNA expression in intestinal epithelial RNA extracted from male control and Tacr2-/- mice. n = 5 control and n = 4 Tacr2-/- mice for Tacr1, n = 5 per group for Tacr3.

Tacr2-/-mice show no significant changes in body weight compared to wild-type controls under acute high-fat diet (HFD) challenge.
a,b, Body weight changes from baseline (day 0) to day 7 in male (a) and female (b) control and Tacr2-/- mice fed a low-fat diet (LFD) or high-fat diet (HFD) for one week. n = 8 control (LFD), n = 12 Tacr2-/- (LFD), n = 7 control (HFD), and n = 9 Tacr2-/- (HFD) for (a); n = 11 control (LFD), n = 13 Tacr2-/-(LFD), n = 8 control (HFD), and n = 9 Tacr2-/- (HFD) for (b). Data were analyzed using two-way ANOVA with Holm-Sidak post hoc tests. Data are presented as mean ± SEM. nsp > 0.05. Black bars indicate control mice; red bars indicate Tacr2-/- mice.

NK2R inhibition does not suppress DSS-induced weight loss and intestinal inflammation in female mice.
a, Bulk RNA-Seq data were integrated with publicly available single-cell RNA-Seq datasets to estimate cell-type composition in the small intestine of female mice. Differences in estimated cell-type proportions were analyzed based on diet (D), genotype (G), or their interaction (I). b, Daily monitoring of body weights in female control and Tacr2-/- mice treated with DSS or vehicle over a 7-day period. n = 10 control (H2O), n = 9 control (DSS), n = 9 Tacr2-/-(H2O), and n = 7 Tacr2-/- (DSS). c, Comparison of body weight changes from baseline (day 0) to day 7, derived from the data shown in panel (b). d,e, Lipocalin-2 (LCN2) concentrations in blood (d) and feces (e) from female control and Tacr2-/- mice after 7 days of DSS or vehicle treatment, as determined by ELISA. n = 9 control (H2O), n = 7 control (DSS), n = 9 Tacr2-/- (H2O), and n = 7 Tacr2-/- (DSS) for (d); n = 6 control (H2O), n = 7 control (DSS), n = 9 Tacr2-/-(H2O), and n = 7 Tacr2-/- (DSS) for (e). f, Colon tissues from female control and Tacr2-/- mice treated with DSS or vehicle for 7 days were collected, sectioned, and stained with hematoxylin and eosin (H&E). Representative images of stained colon sections are shown. g, Representative histological images (f) were evaluated and scored according to the degree of tissue damage. n = 6 control (H2O), n = 7 control (DSS), n = 7 Tacr2-/- (H2O), and n = 6 Tacr2-/-(DSS). h, Gut permeability in female control and Tacr2-/- mice following 7 days of DSS or vehicle treatment was assessed by oral gavage of 4 kDa FITC-dextran. Blood was collected 4 hours post-gavage, and FITC fluorescence was measured in plasma to quantify gut barrier integrity. n = 9 control (H2O), n = 6 control (DSS), n = 8 Tacr2-/-(H2O), and n = 6 Tacr2-/- (DSS).

Male Tacr2-/- mice exhibit comparable gross phenotypes and feeding behaviors to control mice during chronic high-fat diet (HFD) feeding.
a, Gastrointestinal transit time was measured in male and female control and Tacr2-/-mice on a low-fat diet (LFD). n = 11 control males, n = 13 Tacr2-/- males, n = 13 control females, and n = 12 Tacr2-/- females. b, The body weights of male control and Tacr2-/-mice (8-12 weeks old) were monitored weekly over a 10-week period while maintained on a HFD. n = 7 control and n = 9 Tacr2-/- mice. c, Glucose tolerance test (GTT) was performed with 10-week-old male control (n = 6) and Tacr2-/- (n = 5) mice. d, Gastrointestinal transit time was measured in male control (n = 11) and Tacr2-/- (n = 13) mice on a HFD. e, Fecal lipid content was quantified from stool samples collected at week 2 of HFD feeding in male control (n = 6) and Tacr2-/-(n = 5) mice. At week 10 of HFD treatment, male control and Tacr2-/-mice were placed in metabolic chambers, and food intake (f,g), locomotion (h), VO2 (i), VCO2 (j), and respiratory exchange ratio (RER, k) were analyzed. n = 5 control males (Light), n = 6 Tacr2-/- males (Light), n = 5 control males (Dark), n = 5 Tacr2-/- males (Dark) for (f,g); n = 4 control males (Light), n = 6 Tacr2-/- males (Light), n = 4 control males (Dark), n = 6 Tacr2-/- males (Dark) for (h,i,j,k). Data were analyzed using two-way ANOVA with repeated measures (b,c) or Holm-Sidak post hoc analysis (f-k), or by unpaired two-tailed Student’s t-test (a,d,e). Data are shown as mean ± SEM; nsp>0.05.

Female Tacr2-/- mice exhibit comparable gross phenotypes and feeding behaviors to control mice during chronic high-fat diet (HFD) feeding.
a, Heat maps display Z-scores of normalized expression levels for genes encoding lipid droplet-associated proteins in female mice across experimental conditions. Hierarchical clustering of individual samples (top dendrogram) and genes (left dendrogram) is shown, with branch lengths reflecting the similarity between clusters. Wild-type control (WT) samples are labeled in black text, Tacr2-/- (KO) samples in red text, and samples from mice on a high-fat diet (HFD) are indicated in bold. b, The body weights of female control and Tacr2-/- mice (8-12 weeks old) were monitored weekly over a 10-week period while maintained on a HFD. n = 8 control and n = 9 Tacr2-/-mice. c, Glucose tolerance test (GTT) was performed with 10-week-old female control (n = 5) and Tacr2-/- (n = 7) mice. d, Gastrointestinal transit time was measured in female control (n = 13) and Tacr2-/- (n = 12) mice on a HFD. e, Fecal lipid content was quantified from stool samples collected at week 2 of HFD feeding in female control (n = 6) and Tacr2-/- (n = 5) mice. At week 10 of HFD treatment, female control and Tacr2-/-mice were placed in metabolic chambers, and food intake (f,g), locomotion (h), VO2 (i), VCO2 (j), and respiratory exchange ratio (RER, k) were analyzed. n = 4 control females (Light), n = 5 Tacr2-/- females (Light), n = 4 control females (Dark), n = 5 Tacr2-/- females (Dark) for (f,g); n = 4 control females (Light), n = 6 Tacr2-/- females (Light), n = 4 control females (Dark), n = 6 Tacr2-/- females (Dark) for (h,i,j,k). Data were analyzed using two-way ANOVA with repeated measures (b,c) or Holm-Sidak post hoc analysis (f-k), or by unpaired two-tailed Student’s t-test (d,e). Data are shown as mean ± SEM; *p<0.05, nsp>0.05.

Tacr2-/-mice show similar gene expression profiles in perigonadal white adipose tissues.
a, qPCR analysis of Tacr2, Adipoq, Pparg, and Leptin mRNA expression in adipocyte and mesenchymal cell fractions isolated from wild-type mice (n = 5 biological replicates). Adipoq, Pparg, and Leptin serve as adipocyte marker genes. b, Schematic of the experimental workflow. Control and Tacr2-/-mice were fed a high-fat diet (HFD) for either 1 or 12 weeks, followed by sacrifice and tissue collection. Perigonadal white adipose tissue (WAT) was harvested, total RNA was extracted, and samples were subjected to RNA sequencing. Panel created with BioRender.com/7r4281j. c,e,g,i, Principal component analysis (PCA) of RNA-Seq data from male (c,e) and female (g,i) control and Tacr2-/- mice following HFD feeding for 1 or 12 weeks. n = 3 control (1 week HFD), n = 4 control (12 week HFD), n = 3 Tacr2-/-(1 week HFD), n = 3 Tacr2-/- (12 week HFD) for (c,e); n = 3 control (1 week HFD), n = 4 control (12 week HFD), n = 3 Tacr2-/- (1 week HFD), n = 4 Tacr2-/-(12 week HFD) for (g,i). d,f,h,j, Volcano plots of differentially expressed genes in male (d,f) or female (h,j) Tacr2-/- versus control mice under 1 or 12 weeks HFD conditions. Data were analyzed using unpaired two-tailed Student’s t-test. Data are shown as mean ± SEM; **p<0.01, *p<0.05, nsp>0.05; black circles represent control mice, and red circles represent Tacr2-/-mice.

qPCR primers used in this study.

Genotyping primers used in this study.
Acknowledgements
This work was supported by seed funding from the Scripps Research Institute. P.T. was supported by National Institutes of Health (NIH) grants R01 DK142199 and R01 HL175773. P.P. was supported by the NIH T32 Immunology Training Program (5T32AI007244). C.L. was supported by a Dorris Scholar Award from the Dorris Neuroscience Center at The Scripps Research Institute. We thank members of Enrique Saez’s lab at Scripps Research for technical assistance, support and critical advice during the course of the studies. We also thank Dr. Xinglin Yang (Howard Hang Lab) for technical expertise and guidance on microbiome workflows. We are grateful to Ayub Khan and Aayushi Shah (Srinivasan Lab) for technical assistance with tissue collection, and to Dr. Amanda Roberts (Scripps Research Animal Models Core) for support with mouse experiments. We also acknowledge the resources and staff of the Scripps Research Genomics Core Facility for sequencing services. Elements of Figures 2a, 3b, 4b, 4k, 5f, and Extended Data Figure 6b were created with BioRender.com.
References
- 1The sugar-responsive enteroendocrine neuropeptide F regulates lipid metabolism through glucagon-like and insulin-like hormones in Drosophila melanogasterNat Commun 12:4818https://doi.org/10.1038/s41467-021-25146-wPubMedGoogle Scholar
- 2A tachykinin-like neuroendocrine signalling axis couples central serotonin action and nutrient sensing with peripheral lipid metabolismNat Commun 8https://doi.org/10.1038/ncomms14237PubMedGoogle Scholar
- 3Control of lipid metabolism by tachykinin in DrosophilaCell Rep 9:40–47https://doi.org/10.1016/j.celrep.2014.08.060PubMedGoogle Scholar
- 4Neuropeptide Y acts directly in the periphery on fat tissue and mediates stress-induced obesity and metabolic syndromeNat Med 13:803–811https://doi.org/10.1038/nm1611PubMedGoogle Scholar
- 5Neuropeptide Y resists excess loss of fat by lipolysis in calorie-restricted mice: a trait potential for the life-extending effect of calorie restrictionAging Cell 16:339–348https://doi.org/10.1111/acel.12558PubMedGoogle Scholar
- 6AMPK-dependent modulation of hepatic lipid metabolism by nesfatin-1Mol Cell Endocrinol 417:20–26https://doi.org/10.1016/j.mce.2015.09.006PubMedGoogle Scholar
- 7Neuropeptide ACP facilitates lipid oxidation and utilization during long-term flight in locustseLife 10https://doi.org/10.7554/eLife.65279PubMedGoogle Scholar
- 8A feedback loop governs the relationship between lipid metabolism and longevityeLife 9https://doi.org/10.7554/eLife.58815PubMedGoogle Scholar
- 9Tachykinins: Neuropeptides That Are Ancient, Diverse, Widespread and Functionally PleiotropicFront Neurosci 13:1262https://doi.org/10.3389/fnins.2019.01262PubMedGoogle Scholar
- 10Role of Substance P Neuropeptide in Inflammation, Wound Healing, and Tissue HomeostasisJ Immunol 199:1543–1552https://doi.org/10.4049/jimmunol.1601751PubMedGoogle Scholar
- 11Tachykinins and their receptors: contributions to physiological control and the mechanisms of diseasePhysiol Rev 94:265–301https://doi.org/10.1152/physrev.00031.2013PubMedGoogle Scholar
- 12Substance P and pain chronicityCell Tissue Res 375:227–241https://doi.org/10.1007/s00441-018-2922-yPubMedGoogle Scholar
- 13Tachykinin: recent developments and novel roles in health and diseaseBiomol Concepts 5:225–243https://doi.org/10.1515/bmc-2014-0008PubMedGoogle Scholar
- 14Therapeutic antagonism of the neurokinin 1 receptor in endosomes provides sustained pain reliefProc Natl Acad Sci U S A 120:e2220979120https://doi.org/10.1073/pnas.2220979120PubMedGoogle Scholar
- 15Substance P and the inflammatory and immune responseAnn N Y Acad Sci 632:263–271https://doi.org/10.1111/j.1749-6632.1991.tb33114.xPubMedGoogle Scholar
- 16Neurokinin receptors and their implications in various autoimmune diseasesCurr Res Immunol 2:66–78https://doi.org/10.1016/j.crimmu.2021.06.001PubMedGoogle Scholar
- 17Substance P and Antagonists of the Neurokinin-1 Receptor in Neuroinflammation Associated with Infectious and Neurodegenerative Diseases of the Central Nervous SystemJ Neurol Neuromedicine 1:29–36https://doi.org/10.29245/2572.942x/2016/2.1020PubMedGoogle Scholar
- 18Tachykinin NK1 receptor antagonist L-733,060 and substance P deletion exert neuroprotection through inhibiting oxidative stress and cell death after traumatic brain injury in miceInt J Biochem Cell Biol 107:154–165https://doi.org/10.1016/j.biocel.2018.12.018PubMedGoogle Scholar
- 19Substance P antagonists as a therapeutic approach to improving outcome following traumatic brain injuryNeurotherapeutics 7:74–80https://doi.org/10.1016/j.nurt.2009.10.018PubMedGoogle Scholar
- 20Substance P is associated with the development of brain edema and functional deficits after traumatic brain injuryJ Cereb Blood Flow Metab 29:1388–1398https://doi.org/10.1038/jcbfm.2009.63PubMedGoogle Scholar
- 21Substance P antagonists as a novel intervention for brain edema and raised intracranial pressureActa Neurochir Suppl 118:201–204https://doi.org/10.1007/978-3-7091-1434-6_37PubMedGoogle Scholar
- 22Tacr3/NK3R: Beyond Their Roles in ReproductionACS Chem Neurosci 11:2935–2943https://doi.org/10.1021/acschemneuro.0c00421PubMedGoogle Scholar
- 23The integrated hypothalamic tachykinin-kisspeptin system as a central coordinator for reproductionEndocrinology 156:627–637https://doi.org/10.1210/en.2014-1651PubMedGoogle Scholar
- 24Fezolinetant for treatment of moderate-to-severe vasomotor symptoms associated with menopause (SKYLIGHT 1): a phase 3 randomised controlled studyLancet 401:1091–1102https://doi.org/10.1016/S0140-6736(23)00085-5PubMedGoogle Scholar
- 25Fezolinetant in the treatment of vasomotor symptoms associated with menopauseExpert Opin Investig Drugs 30:681–694https://doi.org/10.1080/13543784.2021.1893305PubMedGoogle Scholar
- 26Neurokinin receptors in drug and alcohol addictionBrain Res 1734:146729https://doi.org/10.1016/j.brainres.2020.146729PubMedGoogle Scholar
- 27Tachykinin receptor 3 in the lateral habenula alleviates pain and anxiety comorbidity in miceFront Immunol 14https://doi.org/10.3389/fimmu.2023.1049739PubMedGoogle Scholar
- 28The neurokinin-3 receptor (NK3R) antagonist SB222200 prevents the apomorphine-evoked surface but not nuclear NK3R redistribution in dopaminergic neurons of the rat ventral tegmental areaNeuroscience 247:12–24https://doi.org/10.1016/j.neuroscience.2013.05.006PubMedGoogle Scholar
- 29Bidirectional regulation of human colonic smooth muscle contractility by tachykinin NK(2) receptorsJ Pharmacol Sci 117:106–115https://doi.org/10.1254/jphs.11118fpPubMedGoogle Scholar
- 30Neurokinin-neurotrophin interactions in airway smooth muscleAm J Physiol Lung Cell Mol Physiol 301:L91–98https://doi.org/10.1152/ajplung.00320.2010PubMedGoogle Scholar
- 31Tachykinin NK2 receptor antagonists for the treatment of irritable bowel syndromeBr J Pharmacol 141:1249–1263https://doi.org/10.1038/sj.bjp.0705751PubMedGoogle Scholar
- 32Communication Between Enteric Neurons, Glia, and Nociceptors Underlies the Effects of Tachykinins on NeuroinflammationCell Mol Gastroenterol Hepatol 6:321–344https://doi.org/10.1016/j.jcmgh.2018.05.009PubMedGoogle Scholar
- 33Congenital ablation of Tacr2 reveals overlapping and redundant roles of NK2R signaling in the control of reproductive axisAm J Physiol Endocrinol Metab 320:E496–E511https://doi.org/10.1152/ajpendo.00346.2020PubMedGoogle Scholar
- 34Characterization of the Role of NKA in the Control of Puberty Onset and Gonadotropin Release in the Female MouseEndocrinology 160:2453–2463https://doi.org/10.1210/en.2019-00195PubMedGoogle Scholar
- 35The distribution of neurokinin-1 and neurokinin-2 receptors in human central airwaysAm J Respir Crit Care Med 161:207–215https://doi.org/10.1164/ajrccm.161.1.9903137PubMedGoogle Scholar
- 36Neuropeptide signaling activates dendritic cell-mediated type 1 immune responses through neurokinin-2 receptorJ Immunol 188:4200–4208https://doi.org/10.4049/jimmunol.1102521PubMedGoogle Scholar
- 37Neuropeptide signaling through neurokinin-1 and neurokinin-2 receptors augments antigen presentation by human dendritic cellsJ Allergy Clin Immunol 136:1690–1694https://doi.org/10.1016/j.jaci.2015.06.050PubMedGoogle Scholar
- 38NK1, NK2 and NK3 tachykinin receptor localization and tachykinin distribution in the ileum of the mouseAnat Embryol (Berl) 202:247–255https://doi.org/10.1007/s004290000106PubMedGoogle Scholar
- 39Tachykinin receptors in the gut: physiological and pathological implicationsCurr Opin Pharmacol 1:583–590https://doi.org/10.1016/s1471-4892(01)00100-xPubMedGoogle Scholar
- 40Tachykinins and tachykinin receptors in the gut, with special reference to NK2 receptors in humanAuton Neurosci 126-127:232–249https://doi.org/10.1016/j.autneu.2006.02.014PubMedGoogle Scholar
- 41Substance P (neurokinin-1) and neurokinin A (neurokinin-2) receptor gene and protein expression in the healthy and inflamed human intestineAm J Pathol 157:1511–1522https://doi.org/10.1016/S0002-9440(10)64789-XPubMedGoogle Scholar
- 42NK2R control of energy expenditure and feeding to treat metabolic diseasesNature 635:987–1000https://doi.org/10.1038/s41586-024-08207-0PubMedGoogle Scholar
- 43A single-cell type transcriptomics map of human tissuesSci Adv 7https://doi.org/10.1126/sciadv.abh2169PubMedGoogle Scholar
- 44Tissue-based map of the human proteomeScience 347https://doi.org/10.1126/science.1260419PubMedGoogle Scholar
- 45Accurate estimation of cell composition in bulk expression through robust integration of single-cell informationNat Commun 11:1971https://doi.org/10.1038/s41467-020-15816-6PubMedGoogle Scholar
- 46Obesogenic diet-induced gut barrier dysfunction and pathobiont expansion aggravate experimental colitisPLoS One 12:e0187515https://doi.org/10.1371/journal.pone.0187515PubMedGoogle Scholar
- 47Western diet induces Paneth cell defects through microbiome alterations and farnesoid X receptor and type I interferon activationCell Host Microbe 29:988–1001https://doi.org/10.1016/j.chom.2021.04.004PubMedGoogle Scholar
- 48Dextran sulfate sodium (DSS)-induced colitis in miceCurr Protoc Immunol 104:15–15https://doi.org/10.1002/0471142735.im1525s104PubMedGoogle Scholar
- 49Fecal Lipocalin 2, a Sensitive and Broadly Dynamic Non-Invasive Biomarker for Intestinal InflammationPLOS One 7:e44328https://doi.org/10.1371/journal.pone.0044328PubMedGoogle Scholar
- 50High-fat diet modulates non-CD1d-restricted natural killer T cells and regulatory T cells in mouse colon and exacerbates experimental colitisClin Exp Immunol 151:130–138https://doi.org/10.1111/j.1365-2249.2007.03530.xPubMedGoogle Scholar
- 51Westernized high-fat diet accelerates weight loss in dextran sulfate sodium-induced colitis in mice, which is further aggravated by supplementation of hemeJ Nutr Biochem 24:1159–1165https://doi.org/10.1016/j.jnutbio.2012.09.001PubMedGoogle Scholar
- 52High fat diet exacerbates dextran sulfate sodium induced colitis through disturbing mucosal dendritic cell homeostasisInt Immunopharmacol 40:1–10https://doi.org/10.1016/j.intimp.2016.08.018PubMedGoogle Scholar
- 53The combination of high-fat diet-induced obesity and chronic ulcerative colitis reciprocally exacerbates adipose tissue and colon inflammationLipids Health Dis 10https://doi.org/10.1186/1476-511X-10-204PubMedGoogle Scholar
- 54Characteristics and functions of lipid droplets and associated proteins in enterocytesExperimental Cell Research 340:172–179https://doi.org/10.1016/j.yexcr.2015.09.018PubMedGoogle Scholar
- 55Preferential uptake of dietary Fatty acids in adipose tissue and muscle in the postprandial periodDiabetes 56:168–176https://doi.org/10.2337/db06-0822PubMedGoogle Scholar
- 56Energy-dense diet triggers changes in gut microbiota, reorganization of gut-brain vagal communication and increases body fat accumulationActa Neurobiol Exp (Wars) 77:18–30https://doi.org/10.21307/ane-2017-033PubMedGoogle Scholar
- 57Six-Week High-Fat Diet Alters the Gut Microbiome and Promotes Cecal Inflammation, Endotoxin Production, and Simple Steatosis without Obesity in Male RatsLipids 54:119–131https://doi.org/10.1002/lipd.12131PubMedGoogle Scholar
- 58The role of goblet cells and mucus in intestinal homeostasisNat Rev Gastroenterol Hepatol 19:785–803https://doi.org/10.1038/s41575-022-00675-xPubMedGoogle Scholar
- 59Tuft cells in the intestine, immunity and beyondNat Rev Gastroenterol Hepatol 21:852–868https://doi.org/10.1038/s41575-024-00978-1PubMedGoogle Scholar
- 60Tuft Cells: New Players in ColitisTrends Mol Med 22:921–924https://doi.org/10.1016/j.molmed.2016.09.005PubMedGoogle Scholar
- 61Epithelial IL-18 Equilibrium Controls Barrier Function in ColitisCell 163:1444–1456https://doi.org/10.1016/j.cell.2015.10.072PubMedGoogle Scholar
- 62An intercrypt subpopulation of goblet cells is essential for colonic mucus barrier functionScience 372https://doi.org/10.1126/science.abb1590PubMedGoogle Scholar
- 63Dclk1 in tuft cells promotes inflammation-driven epithelial restitution and mitigates chronic colitisCell Death Differ 26:1656–1669https://doi.org/10.1038/s41418-018-0237-xPubMedGoogle Scholar
- 6417beta-estradiol stimulates substance P receptor gene expressionMol Cell Endocrinol 135:109–117https://doi.org/10.1016/s0303-7207(97)00193-7PubMedGoogle Scholar
- 65Ovarian steroids regulate tachykinin and tachykinin receptor gene expression in the mouse uterusReprod Biol Endocrinol 7https://doi.org/10.1186/1477-7827-7-77PubMedGoogle Scholar
- 66Gut-innervating nociceptors regulate the intestinal microbiota to promote tissue protectionCell 185:4170–4189https://doi.org/10.1016/j.cell.2022.09.008PubMedGoogle Scholar
- 67Gut-Innervating Nociceptor Neurons Regulate Peyer’s Patch Microfold Cells and SFB Levels to Mediate Salmonella Host DefenseCell 180:33–49https://doi.org/10.1016/j.cell.2019.11.014PubMedGoogle Scholar
- 68The Neuromodulation of the Intestinal Immune System and Its Relevance in Inflammatory Bowel DiseaseFront Immunol 6https://doi.org/10.3389/fimmu.2015.00590PubMedGoogle Scholar
- 69Nociceptor neurons direct goblet cells via a CGRP-RAMP1 axis to drive mucus production and gut barrier protectionCell 185:4190–4205https://doi.org/10.1016/j.cell.2022.09.024PubMedGoogle Scholar
- 70Gut microbiota associations with common diseases and prescription medications in a population-based cohortNat Commun 9:2655https://doi.org/10.1038/s41467-018-05184-7PubMedGoogle Scholar
- 71Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesityProc Natl Acad Sci U S A 110:9066–9071https://doi.org/10.1073/pnas.1219451110PubMedGoogle Scholar
- 72Akkermansia muciniphila: is it the Holy Grail for ameliorating metabolic diseases?Gut Microbes 13https://doi.org/10.1080/19490976.2021.1984104PubMedGoogle Scholar
- 73Ruminococcus gnavus, a member of the human gut microbiome associated with Crohn’s disease, produces an inflammatory polysaccharideProceedings of the National Academy of Sciences 116:12672–12677https://doi.org/10.1073/pnas.1904099116PubMedGoogle Scholar
- 74Administration of Bifidobacterium pseudolongum suppresses the increase of colonic serotonin and alleviates symptoms in dextran sodium sulfate-induced colitis in miceBiosci Microbiota Food Health 42:186–194https://doi.org/10.12938/bmfh.2022-073PubMedGoogle Scholar
- 75Strain-specific alterations in gut microbiome and host immune responses elicited by tolerogenic Bifidobacterium pseudolongumSci Rep 13:1023https://doi.org/10.1038/s41598-023-27706-0PubMedGoogle Scholar
- 76Bifidobacterium pseudolongum reduces triglycerides by modulating gut microbiota in mice fed high-fat foodJ Steroid Biochem Mol Biol 198https://doi.org/10.1016/j.jsbmb.2020.105602PubMedGoogle Scholar
- 77STAR: ultrafast universal RNA-seq alignerBioinformatics 29:15–21https://doi.org/10.1093/bioinformatics/bts635PubMedGoogle Scholar
- 78ShinyGO: a graphical gene-set enrichment tool for animals and plantsBioinformatics 36:2628–2629https://doi.org/10.1093/bioinformatics/btz931PubMedGoogle Scholar
- 79A single-cell survey of the small intestinal epitheliumNature 551:333–339https://doi.org/10.1038/nature24489PubMedGoogle Scholar
- 80Accurate estimation of cell composition in bulk expression through robust integration of single-cell informationNature Communications 11:1971https://doi.org/10.1038/s41467-020-15816-6PubMedGoogle Scholar
- 81Lipin 2/3 phosphatidic acid phosphatases maintain phospholipid homeostasis to regulate chylomicron synthesisThe Journal of Clinical Investigation 129:281–295https://doi.org/10.1172/JCI122595PubMedGoogle Scholar
- 82Intestinal Dysbiosis Contributes to the Delayed Gastrointestinal Transit in High-Fat Diet Fed MiceCellular and Molecular Gastroenterology and Hepatology 2:328–339https://doi.org/10.1016/j.jcmgh.2015.12.008PubMedGoogle Scholar
- 83Lipid Extraction from Mouse FecesBio-protocol 5:e1375https://doi.org/10.21769/BioProtoc.1375PubMedGoogle Scholar
- 84Ablation of NG2 Proteoglycan Leads to Deficits in Brown Fat Function and to Adult Onset ObesityPLOS One 7:e30637https://doi.org/10.1371/journal.pone.0030637PubMedGoogle Scholar
- 85Central role of ceramide biosynthesis in body weight regulation, energy metabolism, and the metabolic syndromeAmerican Journal of Physiology-Endocrinology and Metabolism 297:E211–E224https://doi.org/10.1152/ajpendo.91014.2008PubMedGoogle Scholar
- 86Dextran sulfate sodium (DSS)-induced colitis in miceCurr Protoc Immunol 104:15–15https://doi.org/10.1002/0471142735.im1525s104PubMedGoogle Scholar
- 87A guide to histomorphological evaluation of intestinal inflammation in mouse modelsInt J Clin Exp Pathol 7:4557–4576PubMedGoogle Scholar
- 88Exploiting a host-commensal interaction to promote intestinal barrier function and enteric pathogen toleranceScience Immunology 1:eaai7732–eaai7732https://doi.org/10.1126/sciimmunol.aai7732PubMedGoogle Scholar
- 89Small Intestinal Permeability and Gut-Transit Time Determined with Low and High Molecular Weight Fluorescein Isothiocyanate-Dextrans in C3H MiceNutrients 10https://doi.org/10.3390/nu10060685PubMedGoogle Scholar
- 90Metagenomic biomarker discovery and explanationGenome Biology 12:R60https://doi.org/10.1186/gb-2011-12-6-r60PubMedGoogle Scholar
- A single-cell survey of the small intestinal epitheliumNCBI Gene Expression Omnibus ID GSE92332https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92332
Article and author information
Author information
Version history
- Sent for peer review:
- Preprint posted:
- Reviewed Preprint version 1:
Cite all versions
You can cite all versions using the DOI https://doi.org/10.7554/eLife.109903. This DOI represents all versions, and will always resolve to the latest one.
Copyright
© 2026, Perez 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
- views
- 174
- downloads
- 4
- citations
- 0
Views, downloads and citations are aggregated across all versions of this paper published by eLife.