Biology subjects

Huang, Y.

Publications and source records attributed to Huang, Y..

At least 487 records · Page 27Linked to original sources

bioRxiv2024

Splenic red pulp macrophages eliminate the liver-resistant Streptococcus pneumoniae during bloodstream infection

The spleen is well-known for defense against invasive infections of encapsulated bacteria, particularly Streptococcus pneumoniae (pneumococcus). However, the precise mechanism of the splenic anti-bacterial immunity remains elusive. Here we report that red pulp (RP) macrophages execute the splenic defense against S. pneumoniae in mice, with the help of natural antibodies (nAbs) and complement system. The spleen slowly but substantially cleared encapsulated pneumococci from the bloodstream in the early phase of blood infection, especially the serotypes that resist to liver filtration. Among splenic macrophage subpopulations, only the lack of RP macrophages led to the complete loss of the splenic immunity. Intravital microscopy detected direct capture and phagocytic killing of circulating pneumococci by RP macrophages in the absence of neutrophils and inflammatory monocytes. Likewise, plasma nAbs targeting pneumococcal cell wall phosphocholine and complement protein C3 were essential for RP macrophage-mediated immune clearance. Our findings have thus uncovered the long-sought immune pathway against invasive pneumococcal infections in the spleen. Short summaryThe spleen plays a crucial role in defending against invasive infections caused by Streptococcus pneumoniae (pneumococcus) and other encapsulated bacteria in humans, but the mechanisms underlying this organ-specific immunity remain largely elusive. This study has revealed that the spleen eliminates pneumococci through a coordinated interplay among red pulp macrophages, serum nAbs targeting phosphocholine and the complement system.

microbiology↗

bioRxiv2024

Nanocluster-antibody-drug conjugates (NADC) as an intravesical precision theranostic agent for interstitial cystitis

Interstitial cystitis (IC) is a chronic inflammatory bladder disorder with recurring severe pain, lacking timely diagnostic and therapeutic options. Here, we propose a unitary theranostic nanocluster-antibody-drug conjugate (NADC) by covalently placing dihydroorotate dehydrogenase inhibitors (DHODHi) and ultrasmall gold quantum clusters (AuQCs) on a nerve growth factor (NGF) antagonistic antibody with simultaneous X-ray computed tomographic and near-infrared fluorescence imaging contrasts. Combining anti-inflammatory effects from all individual components, intravesical NADC specifically homed to mucosal lesions with NGF overexpression in voided bladder and capably alleviated inflammation in chronic, acute, and prophylactic IC models of rats, as revealed by behavioral and pathological evaluations. Transcriptomics unveiled cytokine modulation and concomitant inhibition of perturbed IL-17, NF-{kappa}B, TNF, and JAK-STAT signaling pathways. Notably, NADC indirectly remodeled the host bladder microbiota by differentially varying anti-inflammatory and pro-inflammatory bacteria diversities. Distinct from conventional nanoparticles conjugated with antibodies and drugs, NADC relies on the antibody framework, outperforms clinical standard-of-care agents, and represents an emerging category of precision theranostic agents with translational potential for IC theranostics in clinical practice.

microbiology↗

bioRxiv2024

CTCF mutation at R567 causes developmental disorders via 3D genome rearrangement and abnormal neurodevelopment

The three-dimensional genome structure organized by CTCF is required for development. Clinically identified mutations in CTCF have been linked to adverse developmental outcomes. Nevertheless, the underlying mechanism remains elusive. In this investigation, we explored the regulatory roles of a clinically relevant R567W point mutation, located within the 11th zinc finger of CTCF, by introducing this mutation into both murine models and human embryonic stem cell-derived cortical organoid models. Mice with homozygous CTCFR567W mutation exhibited growth impediments, resulting in postnatal mortality, and deviations in brain, heart, and lung development at the pathological and single- cell transcriptome levels. This mutation induced premature stem-like cell exhaustion, accelerated the maturation of GABAergic neurons, and disrupted neurodevelopmental and synaptic pathways. Additionally, it specifically hindered CTCF binding to peripheral motifs upstream to the core consensus site, causing alterations in local chromatin structure and gene expression, particularly at the clustered protocadherin locus. Comparative analysis using human cortical organoids mirrored the consequences induced by this mutation. In summary, this study elucidates the influence of the CTCFR567W mutation on human neurodevelopmental disorders, paving the way for potential therapeutic interventions.

molecular biology↗

bioRxiv2024

Divergent lineage trajectories and genetic landscapes in human gastric intestinal metaplasia organoids associated with early neoplastic progression

ObjectiveGastric intestinal metaplasia (IM) is a pre-cancerous stage spanning a morphological spectrum that is poorly represented by human cell line models. We aim to establish and characterize human IM cell models to better understand IM progression along the cancer spectrum. DesignA large human gastric IM organoid (IMO) cohort (n=28) was established, along with normal gastric organoids (n=42) for comparison, and comprehensive multi-omics profiling and functional characterization were performed. ResultsSingle-cell transcriptomes revealed IMO cells spanning a spectrum from hybrid gastric/intestinal to advanced intestinal differentiation, and unveiled lineage trajectories that connected different cycling and quiescent stem and progenitors, highlighting their differences in gastric to IM transition. The hybrid IMO cells showed impaired differentiation potential, high lineage plasticity beyond gastric or intestinal fates, and reactivation of a fetal gene program. Cell populations in gastric IM and cancer tissues were found to be highly similar to those derived from IMOs and exhibited fetal signature. Genomically, IMOs showed an elevated mutation burden, frequent chromosome 20 gain, and epigenetic de-regulation of many intestinal and gastric genes. Functionally, IMOs downregulated FGFR2 and became independent of FGF10 for survival. Several IMOs exhibited a cell-matrix adhesion independent (CMi) subpopulation that displayed chromosome 20 gain but lacked key cancer driver mutations, which could represent the earliest neoplastic precursor of IM-induced gastric cancer. ConclusionsOverall, our IM organoid biobank captured the heterogeneous nature of IM, revealing mechanistic insights on IM pathogenesis and its neoplastic progression, offering an ideal platform for studying early gastric neoplastic transformation and chemoprevention.

cancer biology↗

bioRxiv2024

Mechano-regulation of GLP-1 production by Piezo1 in intestinal L cells

Glucagon-like peptide 1 (GLP-1) is a gut-derived hormone secreted by intestinal L cells and vital for postprandial glycemic control. As open-type enteroendocrine cells, whether L cells can sense mechanical stimuli caused by chyme and thus regulate GLP-1 synthesis and secretion is unexplored. Our study showed expression of Piezo1 in intestinal L cells. Its level varied in different energy status and correlates with blood glucose and GLP-1 levels. Mice with L cell-specific loss of Piezo1 (IntL-Piezo1-/-) exhibited impaired glucose tolerance, increased body weight, reduced GLP-1 production and decreased CaMKK{beta}/CaMKIV-mTORC1 signaling pathway under normal chow diet or high fed diet. Activation of the intestinal Piezo1 by its agonist Yoda1 or intestinal bead implantation increased the synthesis and secretion of GLP-1, thus alleviated glucose intolerance in diet-induced-diabetic mice. Overexpression of Piezo1, Yoda1 treatment or stretching stimulated GLP-1 production and CaMKK{beta}/CaMKIV-mTORC1 signaling pathway, which could be abolished by knockdown or blockage of Piezo1 in primary cultured mouse L cells and STC-1 cells. These findings suggest a previously undiscovered mechano-regulation of GLP-1 production in L cells, which may shed new light on the treatments of diabetes.

physiology↗

bioRxiv2024

Functional characterization of Lipid storage droplets 1 (LSD1) in growth and lipolysis of Hermetia illucens

As intracellular organelles in adipose tissue, lipids droplets manage the balance between triglyceride accumulation and energy consumption in animals. Perilipin family members, associated with surface of lipid droplets, participate the regulation of lipid metabolism. Lipid storage droplet-1 (LSD1)/Perilipin-1 acts as a gatekeeper for adipose lipid storage in animals. Despite extensive studies in fruit fly, the function of LSD1 in insect larval stage remain indistinct. In this study, we characterized the function of LSD1 in black soldier fly Hermetia illucens, a nova resource insect to recycle organic wastes. We found that LSD1 was broadly present in dipteran species and evolved with divergence between mosquitos and flies. We further constructed in vivo mutagenesis mediated by CRISPR/Cas9 and found that mutations in LSD1 increased the larval weight and did not bring any defects in development. Raw fat content was also not significantly influenced in late larval stage and new-emerged adults. Our results not only extend our knowledge of LSD1 in insects, but also help for better understanding of the lipid homeostasis in BSF.

zoology↗

bioRxiv2024

Functional characterization of fatty acid synthase in Hermetia illucens

Fatty acid synthase (FAS) is a key role in de novo lipogenesis (DNL) in most lives. In insects, type I FAS functions in homodimer, activated by a phosphopantetheine transferase (PPT), to de novo produce essential saturated fatty acid for cellular processes. In a nova insect species Hermetia illucens (Diptera: Stratiomyidae), different from most animals and insects, lauric acid (LA) accumulates to a noticeable level, near content of that in coconut oil or palm kernel oil. However, the origin of LA, from de novo biosynthesis or as degraded products from long chain fatty acid, was still ambiguous. Here, in this study, we mined a FAS genes (HiOGS16234) from H. illucens genome and initially characterized its abilities of LA production in a free-fatty-acid producible yeast. After clear the yeast metabolites background of fatty acid by deletion of ScFAS1 and ScELO1 sequentially, which responsible for fatty acid genesis and elongation respectively, functions of HiOGS16234 from H. illucens was in vitro elucidated by analyzing its product portfolio. Through protein domain swap in HiOGS16234, we found the ketoacyl synthase domain and thioesterases domain were responsible for the different product portfolio of HiOGS16234, compared with DmFASN1. Through in vitro assay in yeast, the origin of LA in BSF was firstly elucidated at molecular level, which support DNL origin hypothesis in BSF.

synthetic biology↗

bioRxiv2024

Nine high-quality Anas genomes provide new insights into Anas evolution and domestication

The evolutionary origin and genetic architecture of domestic animals are becoming more tractable as the availability of more domestic species genomes. Evolutionary studies of wild and domestic organisms have yielded many fascinating discoveries, while the stories behind the species diversity of Anas or the domestication of duck were largely unknown. Here, we assembled eight chromosome-level Anas genomes. Together with our recently available Pekin duck genome, we investigated Anas phylogeny, genetic differentiation, and gene flow. Extensive phylogenetic inconsistencies were observed in Anas genomes, particularly two phylogeny conflicts between autosome and Z-chromosome. However, the Z chromosome was less impacted by introgression and more suitable to elucidate phylogenetic relationships than autosomes. From the Z-chromosome perspective, we found that the speciation of Anas platyrhynchos and Anas zonorhyncha accompanied with female-biased gene flow, and remodeled duck domestication history. Moreover, we constructed an Anas pan-genome and identified several differentiated SVs between domestic and wild ducks. These SVs might act as repressors/enhancers to regulate their neighboring genes (i.e., GHR and FER), which represented the promising "domestication genes". Additionally, Anas genomes were found being presented LTR retrotransposon bursts, which might largely contribute to functional shifts of genes involved in duck domestication (i.e., MITF and IGF2BP1). This study opens a new window to unravel avian speciation and domestication from Z chromosome.

genomics↗

bioRxiv2024

Chalkophomycin Biosynthesis Revealing Unique Enzyme Architecture for a Hybrid Nonribosomal Peptide Synthetase and Polyketide Synthase

Chalkophomycin is a novel chalkophore with antibiotic activities isolated from Streptomyces sp. CB00271, while its potential in studying cellular copper homeostasis makes it an important probe and drug lead. The constellation of N-hydroxylpyrrole, 2H-oxazoline, diazeniumdiolate, and methoxypyrrolinone functional groups into one compact molecular architecture capable to coordinate cupric ion draws interest to unprecedented enzymology responsible for chalkophomycin biosynthesis. To elucidate the biosynthetic machinery for chalkophomycin production, the chm biosynthetic gene cluster from S. sp. CB00271 was identified, and its involvement in chalkophomycin biosynthesis was confirmed by gene replacement. The chm cluster was localized to a [~]31 kb DNA region, consisting of 19 open reading frames that encode five non-ribosomal peptide synthetase (ChmHIJLO), one modular polyketide synthases (ChmP), six tailoring enzymes (ChmFGMNQR), two regulatory proteins (ChmAB), and four resistance proteins (ChmA'CDE). A model for chalkophomycin biosynthesis is proposed based on functional assignments from sequence analysis and structure modelling, and is further supported by analogy to over 100 chm-type gene clusters in public databases. Our studies thus set the stage to fully investigate chalkophomycin biosynthesis and to engineer chalkophomycin analogues through a synthetic biology approach.

biochemistry↗

bioRxiv2024

Emergence of Orientation Pinwheels in a Self-Evolving Spiking Neural Network: Enhancing Visual Coding Efficiency and Reliability

Orientation preference maps (OPMs) in the primary visual cortex of primates organize orientation-tuned neurons into columnar structures, forming pinwheel-like patterns. However, lower-level animals like rodents typically exhibit a lack of OPMs, with neurons either randomly distributed or aggregated in small clusters. This distinction prompts an inquiry into whether more structured cortical columns correlate with improved visual computational or coding efficiency. To explore this, we propose a novel self-evolving spiking neural network (SESNN). To the best of our knowledge, the SESNN is the first spiking network, incorporating mechanisms of neural plasticity in forming neural connections without explicit objective functions. We reveal that the emergence of pinwheel structures is primarily driven by sparse coding constraints and local synaptic plasticity as fundamental mechanisms. Second, for higher mammals with expansive iso-orientation domains (IODs), the firing responses in pinwheel structures primarily emanate from pinwheel centers (PCs) and progressively extend toward the periphery, encompassing adjacent IODs. Third, the size and organization of these IODs across species are significantly influenced by the receptive fields ability to process overlapping visual information. Lastly, PCs within large IODs demonstrate enhanced robustness and population sparseness in detecting a variety of orientation features. These results indicate that the spatial pinwheel structure facilitates highly efficient and reliable coding performance.

neuroscience↗

bioRxiv2024

Effectiveness and efficiency: label-aware hierarchical subgraph learning for protein-protein interaction (laruGL-PPI)

Protein-protein interactions (PPIs) are crucial in various biological processes and their study has significant implications for drug development and disease diagnosis. Existing deep learning methods for PPIs prediction, including graph neural networks (GNNs), have been widely employed as the solutions, while they usually suffer from performance degradation under complex real-world scenarios. We claim that the topological shortcut is one of the key problems contributing negatively to the performance, according to our analysis. By modeling the PPIs as a graph with protein as nodes and interactions as edge types, the prevailing models tend to learn the pattern of nodes degrees rather than intrinsic sequence-structure profiles, leading to the problem termed topological shortcut. In addition, with the emergence of high-throughput experimental methods such as mass spectrometry and protein chip technology, the amount of available PPI data is exploding. The huge data growth leads to intensive computational costs and challenges computing devices, causing infeasibility in practice. To address the discussed problems, we propose a label-aware hierarchical subgraph learning method (laruGL-PPI) that can effectively infer PPIs while being both interpretable and generalizable. Specifically, we introduced edge-based subgraph sampling to effectively alleviate the problems of topological shortcuts and high computing costs. Besides, the inner-outer connections of PPIs are modeled as a hierarchical graph, together with the dependencies between interaction types constructed by a label graph. Extensive experiments on PPI datasets of different scales demonstrate that laruGL-PPI outperforms state-of-the-art PPI prediction methods, particularly in the testing of unseen proteins. Also, our model can recognize crucial sites of proteins, such as surface sites for binding and active sites for catalysis.

bioinformatics↗

bioRxiv2024

RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints

Molecular simulation (MD) is an important research area in the field of life sciences, focusing on understanding the mechanisms of biomolecular interactions at atomic scales. Protein simulation, as a critical subfield of life science, has frequently adopted MD for implementation, where the trajectory data play an important role in drug discovery. With the advancement of high-performance computing and deep learning technology, machine-prediction of protein properties from enormous trajectory data becomes popular and critical, which puts challenges on how to extract useful data features from the complicated simulation data and reasonably reduce the dimensionality. At the same time, in order to better study the Protein system, it is necessary to provide a meaningful explanation of biological mechanism for dimensionality reduction. In order to address this issue, a new unsupervised model RevGraphVAMP is proposed to intelligently analyze the simulation trajectory. RevGraphVAMP is based on the Markov variation method (VAMP) and innovatively integrates graph convolutional neural networks and physical constraint optimization to improve the learning performance of the model. Besides, the attention mechanism is introduced to calculate the importance of protein molecules, leading to interpretation of molecular mechanism. Compared with other VAMPNets models, the new model presented in this paper has achieved the highest VAMP scores and better state transition prediction accuracy in two public datasets. Additionally, it has higher dimensionality reduction discrimination ability for different substates and provides interpretable results for protein structural characterization.

bioinformatics↗

bioRxiv2024

Non-mechanical disruption of Bacillus subtilis spores allows sensitive and deep characterization of the minimal proteome for resuming a cellular lifestyle.

In response to extreme conditions, Bacillus subtilis generates highly resilient spores characterized by a unique multilayered structure. This confers resistance against various chemicals and enzymes yet adding complexity to the analysis of the spore proteome. As the first step in bottom-up proteomics, sample preparation poses a significant challenge. We assessed how an optimized protocol for sample preparation by easy extraction and digestion (SPEED) performed compared to previously established methods "One-pot" (OP) and single-pot, solid phase-enhanced sample-preparation (SP3) for the proteomic analysis of B. subtilis cell and spore samples. We found that SPEED outperformed both OP and SP3 in terms of peptides and proteins identified, moreover SPEED highly reproducibly quantified over 1000 proteins in limited input samples as low as 1 OD600 of B. subtilis cells and spores. SPEED was applied to analyze spore samples of different purity by applying sequential purification following harvesting of spores. Comparison of the differential abundance of proteins revealed clusters likely partially stemming from remaining vegetative cells in less purified spore samples. We show that ranking of absolute protein abundance in cellular and spore samples further enables us to rationally differentiate integral spore proteins from vegetative remnants. This is of importance in applications and organisms where highly homogenous spore samples are difficult to obtain. A deep proteomic analysis of spore and vegetative cell samples with the new approach led to the identification of 2447 proteins, 2273 of which were further quantified and compared between B. subtilis spores and cells. Our findings indicate that pathways related to peptidoglycan biosynthesis, glycolysis, carbon metabolism, and biosynthesis of secondary metabolites are shared between cells and spores. This corroborates and extends earlier work stressing that despite marked differences in their physiological states, spores preserve vegetative cell (core) proteins, essential for revival under conditions conducive to growth. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/584050v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@9ac7b1org.highwire.dtl.DTLVardef@1ac35c6org.highwire.dtl.DTLVardef@fe73a4org.highwire.dtl.DTLVardef@15a24e8_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

PPFlow: Target-aware Peptide Design with Torsional Flow Matching

Therapeutic peptides have proven to have great pharmaceutical value and potential in recent decades. However, methods of AI-assisted peptide drug discovery are not fully explored. To fill the gap, we propose a target-aware peptide design method called PPFO_SCPLOWLOWC_SCPLOW, based on conditional flow matching on torus manifolds, to model the internal geometries of torsion angles for the peptide structure design. Besides, we establish a protein-peptide binding dataset named PPBench2024 to fill the void of massive data for the task of structure-based peptide drug design and to allow the training of deep learning methods. Extensive experiments show that PPFO_SCPLOWLOWC_SCPLOW reaches state-of-the-art performance in tasks of peptide drug generation and optimization in comparison with baseline models, and can be generalized to other tasks including docking and side-chain packing.

molecular biology↗

bioRxiv2024

The segmented flavivirus Alongshan virus reduces mitochondrial mass via degrading STAT2 to suppress innate immune response

Alongshan virus (ALSV) is a newly discovered pathogen of the Flaviviridae family, characterized by a multi-segmented genome distantly related to the canonical flaviviruses. Understanding the pathogenic mechanism of the emerging segmented flavivirus is crucial for the development of intervention strategies. Here we show that ALSV can infect multiple mammalian cells and induces the expression of antiviral genes. Moreover, ALSV is sensitive to IFN-{beta} and possesses the ability to counteract type I IFN response. Mechanistically, ALSVs nonstructural protein NSP1 binds to and degrades human STAT2 through an autophagy pathway in a species-dependent manner, resulting in direct inhibition of the expression of interferon-stimulated genes (ISGs). Specifically, NSP1 methyltransferase domain binds to the key sites of F175/R176 located in coiled-coil domain of STAT2. Moreover, NSP1-mediated degradation of STAT2 results in a reduction in mitochondrial mass by disrupting mitochondrial dynamics to induce mitophagy and inhibiting mitochondrial biogenesis, thereby suppressing the innate immune response. Interestingly, inhibiting mitophagy using 3-Methyladenine and enhancing mitochondrial biogenesis using the PPAR{gamma} agonist pioglitazone can reverse NSP1-mediated inhibition of ISGs, suggesting that promoting mitochondrial mass presents an effective antiviral strategy. Our findings elucidate the intricate regulatory crosstalk between ALSV and the hosts innate immune response, providing valuable insights into the pathogenesis and intervention strategy of emerging segmented flavivirus.

microbiology↗

bioRxiv2024

Prevalent fast evolution of genes involved in heterochromatin functions

Heterochromatin is a gene-poor and repeat-rich genomic compartment universally found in eukaryotes. Despite its low transcriptional activity, heterochromatin plays important roles in maintaining genome stability, organizing chromosomes, and suppressing transposable elements (TEs). Given the importance of these functions, it is expected that the genes involved in heterochromatin regulation would be highly conserved. Yet, a handful of these genes were found to evolve rapidly. To investigate whether these previous findings are anecdotal or general to genes modulating heterochromatin, we compile an exhaustive list of 106 candidate genes involved in heterochromatin functions and investigate their evolution over short and long evolutionary time scales in Drosophila. Our analyses find that these genes exhibit significantly more frequent evolutionary changes, both in the forms of amino acid substitutions and gene copy number change, when compared to genes involved in Polycomb-based repressive chromatin. While positive selection drives amino acid changes within both structured domains with diverse functions and intrinsically disordered regions (IDRs), purifying selection may have maintained the proportions of IDRs of these proteins. Together with the observed negative associations between evolutionary rates of these genes and genomic TE abundance, we propose an evolutionary model where the fast evolution of genes involved in heterochromatin functions is an inevitable outcome of the unique functional roles of heterochromatin, while the rapid evolution of TEs may be an effect rather than cause. Our study provides an important global view of the evolution of genes involved in this critical cellular domain and provides insights into the factors driving the distinctive evolution of heterochromatin.

evolutionary biology↗

bioRxiv2024

Targeted NAD+ Delivery for Intimal Hyperplasia and Re-endothelialization: A Novel Anti-restenotic Therapy Approach

Endovascular interventions often fail due to restenosis, primarily caused by smooth muscle cell (SMC) proliferation, leading to intimal hyperplasia (IH). Current strategies to prevent restenosis are far from perfect and impose significant collateral damage on the fragile endothelial cell (EC), causing profound thrombotic risks. Nicotinamide adenine dinucleotide (NAD+) is a co-enzyme and signaling substrate implicated in redox and metabolic homeostasis, with a pleiotropic role in protecting against cardiovascular diseases. However, a functional link between NAD+ repletion and the delicate duo of IH and EC regeneration has yet to be established. NAD+ repletion has been historically challenging due to its poor cellular uptake and low bioavailability. We have recently invented the first nanocarrier that enables direct intracellular delivery of NAD+ in vivo. Combining the merits of this prototypic NAD+-loaded calcium phosphate (CaP) nanoparticle (NP) and biomimetic surface functionalization, we created a biomimetic P-NAD+-NP with platelet membrane coating, which enabled an injectable modality that targets IH with excellent biocompatibility. Using human cell primary culture, we demonstrated the benefits of NP-assisted NAD+ repletion in selectively inhibiting the excessive proliferation of aortic SMC, while differentially protecting aortic EC from apoptosis. Moreover, in a rat balloon angioplasty model, a single-dose treatment with intravenously injected P-NAD+-NP immediately post angioplasty not only mitigated IH, but also accelerated the regeneration of EC (re-endothelialization) in vivo in comparison to control groups (i.e., saline, free NAD+ solution, empty CaP-NP). Collectively, our current study provides proof-of-concept evidence supporting the role of targeted NAD+ repletion nanotherapy in managing restenosis and improving re-endothelialization.

pathology↗

bioRxiv2024

Nerve injury downregulates δ-opioid and cannabinoid CB1 receptor genes through REST in primary sensory neurons

The transcription repressor REST in the dorsal root ganglion (DRG) is upregulated by peripheral nerve injury and promotes the development of chronic pain. However, the genes targeted by REST in neuropathic pain development remain unclear. The expression levels of 4 opioid receptor (Oprm1, Oprd1, Oprl1, Oprk1) and the cannabinoid CB1 receptor (Cnr1) genes in the DRG regulate nociception. In this study, we determined the role of REST in the control of their expression in the DRG induced by spared nerve injury (SNI) in both male and female mice. Transcriptomic analyses of male mouse DRGs followed by quantitative reverse transcription polymerase chain reaction analyses of both male and female mouse DRGs showed that SNI upregulated expression of Rest and downregulated mRNA levels of all 4 opioid receptor and Cnr1 genes, but Oprm1 was upregulated in female mice. Analysis of publicly available bioinformatic data suggested that REST binds to the promoter regions of Oprm1 and Cnr1. Chromatin immunoprecipitation analyses indicated differing levels of REST at these promoters in male and female mice. Full-length Rest conditional knockout in primary sensory neurons reduced SNI-induced pain hypersensitivity and rescued the SNI-induced reduction in the expression of Oprd1 and Cnr1 in the DRG in both male and female mice. Our results suggest that nerve injury represses the transcription of Oprd1 and Cnr1 via REST in primary sensory neurons and that REST is a potential therapeutic target for neuropathic pain.

neuroscience↗