Biology subjects

Balasubramanian, A.

Publications and source records attributed to Balasubramanian, A..

15 recordsLinked to original sources

bioRxiv2026

Ileitis abolishes tolerogenic functions of the enterohepatic bile acid pool

Bile acids (BAs) regulate lipid uptake, epithelial integrity, and immune responses in the gut. Hepatocytes synthesize primary BAs, which microbiota metabolize into secondary metabolites. Together, these species form a composite pool that circulates enterohepatically between the liver and intestines. Here, we show that immunoregulatory outputs of the enterohepatic BA pools involve competition between multiple BA species for individual nuclear receptors and are dependent on intestinal health. In healthy mice, the primary BA, tauro {beta} muricholic acid (t{beta}MCA) antagonized ROR{gamma}t-mediated Th17 function in the presence of two secondary BAs (tDCA, tLCA) which activated ROR{gamma}t. Conversely, ileitis in Crohns disease patients and Tnf{delta}ARE mice depleted primary BAs by reducing the number and function of BA transporting enterocytes. In mice, ileitis driven t{beta}MCA depletion enhanced tDCA and tLCA mediated ROR{gamma}t activation and supported Th17 cell function. Replenishing t{beta}MCA in Tnf{delta}ARE mice reestablished BA dependent Th17 cell regulation. Thus, intra pool competition underpins BA immunoregulatory functions and reveals new opportunities for precision Crohns disease therapy.

immunology↗

bioRxiv2026

Multicellular Programs Associated with Right Ventricular Adaptation in Pulmonary Arterial Hypertension

BackgroundRight ventricular (RV) adaptation determines outcomes in pulmonary arterial hypertension (PAH), yet multicellular molecular programs associated with adaptive versus maladaptive RV remodeling in living humans remain incompletely defined. MethodsWe collected 32 human RV tissue biopsies from patients with idiopathic PAH, systemic sclerosis-associated PAH (SSc-PAH), systemic sclerosis without pulmonary hypertension, with 24 nonfailing donor RVs serving as controls. We performed single-nucleus RNA sequencing and integrated cell-type specific transcriptional programs with contemporaneously obtained multi-beat pressure-volume loop measurements of RV contractility (Ees, end-systolic elastance) and RV-pulmonary arterial coupling (the ratio of Ees to Ea, the effective arterial load). SSc modification of PAH-associated biology was assessed using interaction terms. Bulk RV proteomic pathway enrichment was performed to assess an orthogonal molecular layer, and exploratory cell-cell communication analyses alongside independent spatial transcriptomic analyses were performed to contextualize key findings. ResultsPAH was associated with broad depletion of biosynthetic, trafficking, and mitochondrial programs across cell types. SSc modified the magnitude of many PAH-associated transcriptional programs while largely preserving pathway directionality. Significant multicellular pathway enrichments were associated with RV-pulmonary arterial coupling. Joint analysis of Ees, Ea, and Ees/Ea identified biologic programs associated with different RV responses to varying loading conditions. Preserved coupling was characterized by enriched extracellular matrix, laminin-integrin, receptor tyrosine kinase, mitochondrial, and translational programs involving fibroblast, endothelial, endocardial, and cardiomyocyte compartments. Cell- cell communication analyses predicted coordinated stromal-vascular signaling networks involving laminin-integrin and endothelial-to-mural signaling in preserved coupling. Proteomic and spatial analyses supported recurrent multicellular themes. ConclusionsRV adaptation in PAH is associated with distinct, coordinated multicellular programs that vary with load and contractile response. RV-PA coupling in PAH is associated with multicellular remodeling that extends beyond cardiomyocytes and reflects organized vascular-stromal support architecture. These findings identify extracellular matrix, laminin- integrin signaling, mitochondrial, and translational programs as associated with adaptive RV remodeling in PAH. Clinical PerspectiveO_ST_ABSWhat is new?C_ST_ABSO_LICell type-resolved molecular profiling of living human RV tissue identifies PAH-associated depletion of biosynthetic, trafficking, mitochondrial, and repair-associated programs across multiple cardiac cell types. C_LIO_LIIntegration with contemporaneously obtained pressure-volume loop physiology demonstrates that preserved RV-pulmonary arterial coupling under lower load was associated predominantly with cardiomyocyte mitochondrial and metabolic competency, whereas preserved coupling under higher load was associated with extracellular matrix remodeling and vascular-stromal signaling. C_LIO_LIProteomic, cell-cell communication, and spatial analyses provided orthogonal support for coordinated extracellular matrix and vascular-stromal programs associated with preserved RV-pulmonary arterial coupling. C_LI What are the clinical implications?O_LIThese findings shift the biology of RV adaptation from a predominantly cardiomyocyte- centered model toward a multicellular tissue model in which metabolic, matrix, and vascular support programs vary according to loading conditions and contractile states. C_LIO_LIExtracellular matrix-integrin signaling, endothelial-mural communication, and mitochondrial competency represent candidate pathways for mechanistic investigation toward RV-directed therapies in PAH. C_LI

molecular biology↗

bioRxiv2026

Constitutive androstane receptor directs developing Th1 cells towards the Tr1 lineage

Constitutive androstane receptor (CAR; encoded by Nr1i3) is a nuclear xenobiotic receptor that mediates hepatic drug and bile acid metabolism. We previously identified CAR as also operating in CD4+ T helper (TH) cells, where CAR-dependent gene expression mitigates bile acid toxicity and promotes a Foxp3-IL-10+type 1 regulatory (Tr1)-like phenotype in the small intestine. Here, we show that CAR acts early and specifically during the priming of type 1 immune responses to stabilize Tr1 lineage commitment. CAR-dependent Tr1 cells formed during type 1 (Th1-associated) but not type 3 (Th17-associated) intestinal inflammation. In vitro, IL-27 upregulated CAR expression during naive TH cell activation, which contributed to Il10 induction. Single-cell analysis revealed that naive TH cells primed with IL-27 adopt a multipotent "Th1/Tr1 precursor" (THR1p) transcriptional state, which subsequently diverges into Th1 or Tr1 developmental trajectories. CAR transcriptional activity peaked in THR1p cells, upregulating Tr1 genes, including Il10, and repressing Th1 genes. Moreover, glucocorticoid receptor activation--which increases CAR expression in hepatocytes--synergized with IL-27 to augment both CAR expression and CAR-dependent Tr1 differentiation. Together, these results suggest that CAR acts in a lineage-biased manner to enforce Tr1-mediated immune tolerance during type 1 intestinal inflammation, and this pathway is amplified by glucocorticoids.

immunology↗

bioRxiv2026

Metabolomic Network Analysis Reveals Reorganization of Lipid and Steroid Programs Linked to Right Ventricular-Pulmonary Vascular Function in Pulmonary Hypertension

BackgroundPulmonary arterial hypertension (PAH) is characterized by circulating metabolic alterations, but whether these reflect disease-specific metabolic programs or reorganization of normal metabolic architecture, and how they relate to right ventricular-pulmonary vascular function (RV-PV), remains unclear. We hypothesized that the PAH metabolome is organized into biologically coherent, co-regulated metabolic modules whose relationships to RV-PV function would provide insight into known and novel metabolic pathways. MethodsWe applied weighted gene co-expression network analysis (WGCNA) to untargeted metabolomic data from 412 PAH patients enrolled in the multicenter PVDOMICS study. Module preservation analysis was performed in 85 healthy controls, with external replication in an independent single-center pulmonary hypertension cohort of 89 patients. ResultsWGCNA identified 16 distinct metabolic modules organized around biologically coherent programs. A coherent fatty acid axis, spanning substrate pools, {beta}-oxidation intermediates, and conjugated fatty acid disposal products, formed a central organizing structure, with downstream fatty acid oxidation modules strongly associated with adverse hemodynamics and worse RV-pulmonary artery (PA) coupling. Acylcholine-enriched and 5-reduced androgen metabolite modules were associated with favorable hemodynamic indices. Module architecture was largely preserved in healthy controls, with subtle disease-associated modular reorganization, rather than emergence of novel modules, observed in PAH. Core modules were recovered in the replication cohort with conserved hub metabolites. ConclusionsThese findings establish a systems-level framework demonstrating that PAH involves structured intensification and reorganization of interconnected metabolic programs associated with favorable and adverse RV-PV phenotypes. This work provides new insight into the metabolic architecture underlying PAH and identifies coordinated metabolic pathways linked to pulmonary vascular and right ventricular function.

physiology↗

bioRxiv2026

In Vitro Prebiotic Potential of Purified Black Rice Oligosaccharides: Simulated Digestion Stability, Short-Chain Fatty Acid Production, and Probiotic Biofilm Formation

Black rice oligosaccharides (BO) were extracted with 80% aqueous ethanol (v/v) and purified by charcoal-celite chromatography followed by dialysis using a 500 Da molecular weight cut-off (MWCO) membrane, yielding an oligosaccharide fraction with a degree of polymerisation (DP) between three and eight (DP3-DP8; 2.87 {+/-} 0.29% w/w). MALDI-TOF MS showed sodium adduct ions from m/z 527 to 1330, and GC-MS analysis of hydrolysed samples identified glucose and galactose as the major monomers, while ketosyl residues were detected in the intact fraction by selective staining and are most plausibly attributed to fructosyl units based on cereal origin and DP distribution. BO showed high resistance to simulated salivary, gastric, and pancreatic digestion (only 2.08 {+/-} 0.51%, 0.34 {+/-} 0.03%, and 4.29 {+/-} 0.73% hydrolysis, respectively) with approximately 93% remaining carbohydrate available for fermentation. All Lactobacillus strains showed positive prebiotic activity scores, with the highest response observed for Lactobacillus rhamnosus (1.165 {+/-} 0.255) and Lactobacillus plantarum (0.980 {+/-} 0.163). Fermentation produced metabolically relevant short-chain fatty acids (SCFA), mainly acetate (34.82 {+/-} 2.08 mM), as well as strain-dependent propionate and butyrate levels. BO greatly promoted probiotic biofilm formation, with biomass reaching 391.33 {+/-} 26.08% and viable cell counts of 9.01 {+/-} 0.70 log CFU/mL relative to the control. Collectively, the results indicate that BO represents a digestion-resistant, hexose-based oligosaccharide series that is selectively utilised by probiotic lactobacilli, promotes SCFA production and enhances biofilm development. To our knowledge, this work is the first to combine structural profiling with in vitro functional evaluation of a purified, low-DP oligosaccharide fraction obtained from black rice. HighlightsO_LIPurified oligosaccharides (DP3-DP8) were obtained from black rice using charcoal-celite chromatography followed by dialysis. C_LIO_LIStructural analysis confirmed that the oligosaccharides were hexose-based and composed mainly of glucose and galactose. C_LIO_LIBlack rice oligosaccharides exhibited higher resistance to simulated gastric and intestinal digestion compared with starch. C_LIO_LIPositive prebiotic activity scores were observed due to selective utilisation by probiotic Lactobacillus strains. C_LIO_LIFermentation of black rice oligosaccharides significantly increased short-chain fatty acid production. C_LIO_LIPurified oligosaccharides enhanced probiotic biofilm formation, indicating improved colonisation potential. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=179 SRC="FIGDIR/small/705216v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@9a5915org.highwire.dtl.DTLVardef@14eac7aorg.highwire.dtl.DTLVardef@1db8baorg.highwire.dtl.DTLVardef@14ad50a_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

In vivo Protective Efficacy of Emodin in Swiss Albino Mice Induced with Dalton Ascitic Lymphoma

Lymphoma is a tumor that affects lymphoid tissues in the body. Treating lymphoma has become challenging because of the complexity of disease pathology, drug resistance mechanisms and side effects of existing chemo and radiation therapies. Treating cancers/tumors with plant based natural compounds is gaining interest recently because of their less toxicity profiles and efficiency in controlling the disease severity. Emodin is one such compound with such anti-cancer/tumor properties. It has immunosuppressive and anti-cancer properties through multiple ways. In this study, we have studied the therapeutic effect of emodin molecule in the DAL induced lymphoma, a well-established murine model to study and test the anti-lymphoma drugs. Our data has shown an outstanding therapeutic effect of emodin in controlling the lymphoma readouts in DAL induce Swiss Albino mice. These effects were studied in comparison with a standard drug molecule called methotrexate. Furthermore, the in-silico analysis has shown that emodin as a potential drug candidate for lymphoma based on the Lipinskis rule of 5.

cancer biology↗

bioRxiv2024

Ultrack: pushing the limits of cell tracking across biological scales

Tracking live cells across 2D, 3D, and multi-channel time-lapse recordings is crucial for understanding tissue-scale biological processes. Despite advancements in imaging technology, achieving accurate cell tracking remains challenging, particularly in complex and crowded tissues where cell segmentation is often ambiguous. We present Ultrack, a versatile and scalable cell-tracking method that tackles this challenge by considering candidate segmentations derived from multiple algorithms and parameter sets. Ultrack employs temporal consistency to select optimal segments, ensuring robust performance even under segmentation uncertainty. We validate our method on diverse datasets, including terabyte-scale developmental time-lapses of zebrafish, fruit fly, and nematode embryos, as well as multi-color and label-free cellular imaging. We show that Ultrack achieves state-of-the-art performance on the Cell Tracking Challenge and demonstrates superior accuracy in tracking densely packed embryonic cells over extended periods. Moreover, we propose an approach to tracking validation via dual-channel sparse labeling that enables high-fidelity ground truth generation, pushing the boundaries of long-term cell tracking assessment. Our method is freely available as a Python package with Fiji and napari plugins and can be deployed in a high-performance computing environment, facilitating widespread adoption by the research community.

developmental biology↗

bioRxiv2024

Robust virtual staining of landmark organelles

Correlative dynamic imaging of cellular landmarks, such as nuclei and nucleoli, cell membranes, nuclear envelope and lipid droplets is critical for systems cell biology and drug discovery, but challenging to achieve with molecular labels. Virtual staining of label-free images with deep neural networks is an emerging solution for correlative dynamic imaging. Multiplexed imaging of cellular landmarks from scattered light and subsequent demultiplexing with virtual staining leaves the light spectrum for imaging additional molecular reporters, photomanipulation, or other tasks. Current approaches for virtual staining of landmark organelles are fragile in the presence of nuisance variations in imaging, culture conditions, and cell types. We report training protocols for virtual staining of nuclei and membranes robust to variations in imaging parameters, cell states, and cell types. We describe a flexible and scalable convolutional architecture, UNeXt2, for supervised training and self-supervised pre-training. The strategies we report here enable robust virtual staining of nuclei and cell membranes in multiple cell types, including human cell lines, neuromasts of zebrafish and stem cell (iPSC)-derived neurons, across a range of imaging conditions. We assess the models by comparing the intensity, segmentations, and application-specific measurements obtained from virtually stained and experimentally stained nuclei and cell membranes. The models rescue missing labels, non-uniform expression of labels, and photobleaching. We share three pre-trained models (VSCyto3D, VSNeuromast, and VSCyto2D) and a PyTorch-based pipeline (VisCy) for training, inference, and deployment that leverages current community standards for image data and metadata.

bioinformatics↗

bioRxiv2024

Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in African American and European American patients with TNBC

Racial disparities in the clinical outcomes of triple-negative breast cancer (TNBC) have been well-documented, but the underlying biological mechanisms remain poorly understood. To investigate these disparities, we employed a multi-omic approach integrating imaging mass cytometry and spatial transcriptomics to characterize the tumor microenvironment (TME) in self-identified Black American (BA) and White American (WA) TNBC patients. Our analysis revealed that the TME in BA patients is marked by a network of endothelial cells, macrophages, and mesenchymal-like cells, which correlates with reduced patient survival. In contrast, the WA TNBC microenvironment is enriched in T-cells and neutrophils, indicative of T-cell exhaustion and suppressed immune responses. Ligand-receptor and pathway analyses further demonstrated that BA TNBC tumors exhibit a relatively "immune-cold" profile, while WA TNBC tumors display features of an "inflamed" TME, suggesting the evolution of a unique immunosuppressive mechanism. These findings provide insight into racially distinct tumor-promoting and immunosuppressive microenvironments, which may contribute to the observed differences in clinical outcomes among BA and WA TNBC patients. Statement of SignificanceThis study identifies distinct tumor microenvironment (TME) profiles in Black and White American TNBC patients, providing new insights into the biological mechanisms driving outcome disparities. Our findings highlight the role of the tumor-endothelial-macrophage niche in these disparities, offering a potential therapeutic target for race-inclusive strategies aimed at improving clinical outcomes. By revealing racial differences in treatment response profiles, this work underscores the necessity for tailored therapies in TNBC. These insights lay the groundwork for the development of inclusive, precision-driven treatment approaches that may help mitigate racial disparities and enhance patient outcomes.

cancer biology↗

bioRxiv2024

Quantifying forms and functions of intestinal bile acid pools in mice

Bile acids (BAs) are gastrointestinal metabolites that serve dual functions in lipid absorption and cell signaling. BAs circulate actively between the liver and distal small intestine (i.e., ileum), yet the dynamics through which complex BA pools are absorbed in the ileum and interact with intestinal cells in vivo remain ill-defined. Through multi-site sampling of nearly 100 BA species in individual wild type mice, as well as mice lacking the ileal BA transporter, Asbt/Slc10a2, we calculate the ileal BA pool in fasting C57BL/6J mice to be [~]0.3 moles/g. Asbt-mediated transport accounts for [~]80% of this pool and amplifies size, whereas passive absorption explains the remaining [~]20%, and generates diversity. Accordingly, ileal BA pools in mice lacking Asbt are [~]5-fold smaller than in wild type controls, enriched in secondary BA species normally found in the colon, and elicit unique transcriptional responses in cultured ileal explants. This work quantitatively defines ileal BA pools in mice and reveals how BA dysmetabolism can impinge on intestinal physiology.

physiology↗

bioRxiv2023

Reconstructing the Transcriptional Regulatory Network of Probiotic L. reuteri is Enabled by Transcriptomics and Machine Learning

ILimosilactobacillus reuteri, a probiotic microbe instrumental to human health and sustainable food production, adapts to diverse environmental shifts via dynamic gene expression. We applied independent component analysis to 117 high-quality RNA-seq datasets to decode its transcriptional regulatory network (TRN), identifying 35 distinct signals that modulate specific gene sets. This study uncovers the fundamental properties of L. reuteris TRN, deepens our understanding of its arginine metabolism, and the co-regulation of riboflavin metabolism and fatty acid biosynthesis. It also sheds light on conditions that regulate genes within a specific biosynthetic gene cluster and the role of isoprenoid biosynthesis in L. reuteris adaptive response to environmental changes. Through the integration of transcriptomics and machine learning, we provide a systems-level understanding of L. reuteris response mechanism to environmental fluctuations, thus setting the stage for modeling the probiotic transcriptome for applications in microbial food production. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/547516v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@118ec4corg.highwire.dtl.DTLVardef@141b0b7org.highwire.dtl.DTLVardef@1b8cf6forg.highwire.dtl.DTLVardef@3ab181_HPS_FORMAT_FIGEXP M_FIG C_FIG Comprehensive iModulon Workflow Overview. Our innovative workflow is grounded in the analysis of the LactoPRECISE compendium, a curated dataset containing 117 internally sequenced RNA-seq samples derived from a diversity of 50 unique conditions, encompassing an extensive range of 13 distinct condition types. We employ the power of Independent Component Analysis (ICA), a cutting-edge machine learning algorithm, to discern the underlying structure of iModulons within this wealth of data. In the subsequent stage of our workflow, the discovered iModulons undergo detailed scrutiny to uncover media-specific regulatory mechanisms governing metabolism, illuminate the context-dependent intricacies of gene expression, and predict pathways leading to the biosynthesis of probiotic secondary metabolites. Our workflow offers an invaluable and innovative lens through which to view probiotic strain design while simultaneously highlighting transformative approaches to data analytics in the field.

bioinformatics↗

bioRxiv2023

Palmitoylation of gasdermin D directs its membrane translocation and pore formation in pyroptosis

Gasdermin D (GSDMD)-mediated macrophage pyroptosis plays a critical role in inflammation and host defense. Plasma membrane perforation elicited by caspase-cleaved GSDMD N-terminal domain (GSDMD-NT) triggers membrane rupture and subsequent pyroptotic cell death, resulting in release of pro-inflammatory IL-1{beta} and IL-18. However, the biological processes leading to its membrane translocation and pore formation are not fully understood. Here, using a proteomics approach, we identified fatty acid synthase (FASN) as a GSDMD-binding partner and demonstrated that post-translational palmitoylation of GSDMD at Cys191/Cys192 (human/mouse) led to membrane translocation of GSDMD-NT but not full-length GSDMD. GSDMD lipidation, mediated by palmitoyl acyltransferases ZDHHC5/9 and facilitated by LPS-induced reactive oxygen species (ROS), was essential for GSDMD pore-forming activity and pyroptosis. Inhibition of GSDMD palmitoylation with palmitate analog 2-bromopalmitate or a cell permeable GSDMD-specific competing peptide suppressed pyroptosis and IL-1{beta} release in macrophages, mitigated organ damage, and extended the survival of septic mice. Collectively, we establish GSDMD-NT palmitoylation as a key regulatory mechanism controlling GSDMD membrane localization and activation, providing a novel target for modulating immune activity in infectious and inflammatory diseases. One Sentence SummaryLPS-induced palmitoylation at Cys191/Cys192 is required for GSDMD membrane translocation and its pore-forming activity in macrophages.

immunology↗

bioRxiv2021

Genetic Sex Validation for Sample Tracking in Clinical Testing

BackgroundNext generation DNA sequencing (NGS) has been rapidly adopted by clinical testing laboratories for detection of germline and somatic genetic variants. The complexity of sample processing in a clinical DNA sequencing laboratory creates multiple opportunities for sample identification errors, demanding stringent quality control procedures. MethodsWe utilized DNA genotyping via a 96-SNP PCR panel applied at sample acquisition in comparison to the final sequence, for tracking of sample identity throughout the sequencing pipeline. The 96-SNP PCR panels inclusion of sex SNPs also provides a mechanism for a genotype-based comparison to recorded sex at sample collection for identification. This approach was implemented in the clinical genomic testing pathways, in the multi-center Electronic Medical Records and Genomics (eMERGE) Phase III program ResultsWe identified 110 inconsistencies from 25,015 (0.44%) clinical samples, when comparing the 96-SNP PCR panel data to the test requisition-provided sex. The 96-SNP PCR panel genetic sex predictions were confirmed using additional SNP sites in the sequencing data or high-density hybridization-based genotyping arrays. Results identified clerical errors, samples from transgender participants and stem cell or bone marrow transplant patients and undetermined sample mix-ups. ConclusionThe 96-SNP PCR panel provides a cost-effective, robust tool for tracking samples within DNA sequencing laboratories, while the ability to predict sex from genotyping data provides an additional quality control measure for all procedures, beginning with sample collections. While not sufficient to detect all sample mix-ups, the inclusion of genetic versus reported sex matching can give estimates of the rate of errors in sample collection systems.

genomics↗

bioRxiv2021

Landscape of epithelial-mesenchymal plasticity as an emergent property of coordinated teams in regulatory networks

Elucidating the design principles of regulatory networks driving cellular decision-making has fundamental implications in mapping and eventually controlling cell-fate decisions. Despite being complex, these regulatory networks often only give rise to a few phenotypes. Previously, we identified two "teams" of nodes in a small cell lung cancer regulatory network that constrained the phenotypic repertoire and aligned strongly with the dominant phenotypes obtained from network simulations (Chauhan et al., 2021). However, it remained elusive whether these "teams" exist in other networks, and how do they shape the phenotypic landscape. Here, we demonstrate that five different networks of varying sizes governing epithelial-mesenchymal plasticity comprised of two "teams" of players - one comprised of canonical drivers of epithelial phenotype and the other containing the mesenchymal inducers. These "teams" are specific to the topology of these regulatory networks and orchestrate a bimodal phenotypic landscape with the epithelial and mesenchymal phenotypes being more frequent and dynamically robust to perturbations, relative to the intermediary/hybrid epithelial/ mesenchymal ones. Our analysis reveals that network topology alone can contain information about corresponding phenotypic distributions, thus obviating the need to simulate them. We propose "teams" of nodes as a network design principle that can drive cell-fate canalization in diverse decision-making processes.

systems biology↗

bioRxiv2021

Convergent energy state-dependent antagonistic signalling by CART and NPY modulates the plasticity of forebrain neurons to regulate feeding in zebrafish

Dynamic re-configuration of circuit function subserves the flexibility of innate behaviours tuned to physiological states. Internal energy stores adaptively regulate feeding-associated behaviours by integrating opposing hunger and satiety signals at the level of neural circuits. Across vertebrate lineages, the neuropeptides CART and NPY have potent anorexic and orexic functions, respectively, and show energy state-dependent expression in interoceptive neurons. However, how the antagonistic activities of these peptides modulate circuit plasticity remains unclear. Using behavioural, neuroanatomical and activity analysis in adult zebrafish, along with pharmacological interventions, we show that CART and NPY activities converge on a population of neurons in the dorsomedial telencephalon (Dm). While CART facilitates glutamatergic neurotransmission at the Dm, NPY dampens the response to glutamate. In energy-rich states, CART enhances NMDA receptor (NMDAR) function by PKA/PKC mediated phosphorylation of the NR1 subunit of the NMDAR complex. Conversely, starvation triggers NPY-mediated reduction in phosphorylated NR1 via calcineurin activation and inhibition of cAMP production leading to reduced responsiveness to glutamate. Our data identify convergent integration of CART and NPY inputs by the Dm neurons to generate nutritional state-dependent circuit plasticity that is correlated with the behavioural switch induced by the opposing actions of satiety and hunger signals.

neuroscience↗