Biology subjects

Che, T.

Publications and source records attributed to Che, T..

14 recordsLinked to original sources

bioRxiv2026

Low-Dose Interleukin-2 Resolves Stress-Induced Chronic Sensitization Independent of Opioid Receptor Signaling

Stress is a common trigger of headache and widespread somatic pain. Repeated exposure to stress establishes latent sensitization that is tonically suppressed by endogenous inhibitory systems. Using brain-penetrating and peripherally restricted receptor antagonists in a mouse model of repetitive restraint stress, we systematically identified these protective pathways. Peripheral kappa opioid receptors as well as GABA type A and type B (GABAA and GABAB) receptors, alongside central opioid and cannabinoid signaling, actively suppress headache-related facial mechanical hypersensitivity in stressed mice. Blocking any pathway quickly reinstated cephalic allodynia. Peripheral opioid and GABAA receptor signaling also inhibited stress-induced latent sensitization on hindpaw. In contrast, depletion of anti-inflammatory regulatory T (Treg) cells prolonged facial but not hindpaw sensitization, suggesting that Tregs preferentially limit stress-induced chronic headache. Next, we administered low-dose interleukin-2 (LD-IL-2) to stressed mice to preferentially expand and activate Treg cells. Following LD-IL-2 treatment, neither subthreshold pain triggers nor blockade of endogenous inhibitory pathways reinstated cephalic or hindpaw allodynia in either sex, indicating elimination of stress-induced sensitization. Mechanistically, LD-IL-2 acted through Treg cells to recruit multiple peripheral cytokine pathways without engaging endogenous opioid, GABA, or cannabinoid receptor signaling. Notably, LD-IL-2 was more effective than anti-CGRP (calcitonin gene-related peptide) therapy in preventing headache-related chronic sensitization in stressed mice. Collectively, these findings reveal multiple central and peripheral pathways that act concertedly to mask stress-induced latent sensitization and strongly support further evaluation of LD-IL-2 as a novel treatment for stress-induced headache and widespread pain with a distinct mechanism of action.

neuroscience↗

bioRxiv2026

A brain dynamic model based on graph neural network reflect the inter-region interaction of cortical areas

A central objective in neuroscience is to elucidate how the brain generates complex dynamic activity through the interactions of brain areas. In this study, we utilized Interaction Network, a graph neural network model, to develop a computational framework for predicting whole-brain cortical blood oxygenation level dependent (BOLD) signals. We derived an Inter-Regional Interaction (IRI) metric to quantify information exchange among brain areas probing the underlying dynamical mechanisms. In addition, the total IRI emitted from each brain region was calculated and defined as the IRI sent by region (RS-IRI). Our model predicted the following 10 time points BOLD activity from initial BOLD signals, and achieved a mean absolute error of 0.04. The predicted functional connectivity (FC) achieves a correlation coefficient of 0.97 compared to the empirical FC. The fluctuation amplitude of the IRI increases with the length of the connection and the largest RS-IRI oscillation amplitude is observed in visual areas. The RS-IRI demonstrates a hierarchical organization, characterized by more concentrated distributions in association regions and larger fluctuation amplitudes in unimodal regions. Applying our approach to Alzheimers disease (AD), we demonstrate that the frequency-specific amplitudes of IRI oscillations discriminate AD patients from healthy controls and correlate with Mini-Mental State Examination scores. Together, this work presents a deep learning-based framework for modeling brain dynamics as well a quantitative index of inter-areal interactions, and offers a new perspective for disease characterization. Author SummaryThe human brain comprises distinct regions that interact through complex fiber tracts, forming the functional dynamics for diverse cognitive processes. We employed fMRI to assess functional activity and DTI to reconstruct fiber tract connectivity. To elucidate how brain function emerges from these inter-regional interactions, we developed a novel computational framework based on Graph Neural Network (GNN) to model the brains interactive dynamics for its capacity to uncover hidden and intricate patterns within data. From this model, we derived a quantitative metric termed Inter-Regional Interaction (IRI), which characterized the fine-grained, dynamic fluctuations in communication between brain areas. Our results suggest that this GNN-based model can accurately simulate brain functional activity and provide a quantitative description of neural interaction patterns. Applying this model to a cohort of Alzheimers disease patients, we demonstrated that the IRI metric not only effectively distinguished patients from healthy controls but also significantly correlated with clinical cognitive performance (MMSE scores). This approach advances our understanding of the fundamental principles of brain function and offers a promising tool for identifying the underlying mechanisms of neurological disorders.

neuroscience↗

bioRxiv2025

Differential effects of sodium on agonist-induced conformational transitions and signaling at μ and κ opioid receptors

Sodium ions are classically conceptualized as negative allosteric modulators for G protein coupled receptors (GPCRs), although there have been reports of either positive allosteric modulation or no effect of sodium on GPCR function. Here we identified opposing actions of sodium on the and {kappa} opioid receptors. We utilized a variety of methods including radioligand binding, real-time conformational monitoring of transitions using bioluminescence resonance energy transfer and signaling assays using the TRUPATH resource. At the receptors, sodium behaved as a negative allosteric modulator of binding, conformational transitions and signaling. Intriguingly, bitopic agonists were unaffected by sodium concentrations. By contrast, at the {kappa} opioid receptor sodium negatively modulated agonist binding and positively modulated conformational transitions and signaling. Taken together, these findings support the notion that the differential sensitivities to sodium concentrations will result in opposing effects on cell surface and intracellular signaling.

neuroscience↗

bioRxiv2024

The Cryo-EM structure of TRPC1 and TRPC5 heterotetramer

Ion channel heteromers display distinct electrophysiological and ligand-binding properties, allowing precise modulation of cellular functions in specific tissues. Among the TRPC subtypes, the TRPC1/4/5 heteromers are the most abundant isoform in the human brain and represent a primary target for treating anxiety and depression. However, the structural organization of TRPC1/4/5 heteromers remain unclear, limiting the advancement of research on these channels. Here, we report the cryo-EM structure of TRPC1/5 heterotatramer at a resolution of 2.84 [A]. It consists of an asymmetric structure with three TRPC5 subunits and one TRPC1 subunit. Further structural and functional analysis revealed that the TRPC1 subunit contributes to an asymmetrical ion conduction pathway, a characteristic that differentiates it from TRPC5 homomers. The unique features of the TRPC1 pore loop and its interface interactions with TRPC5 were shown to play crucial roles in modulating the ion conduction properties and gating mechanisms of the heteromeric complex. In addition, we identified key residues within the gating regions that influence channel activation and ion permeability, elucidating the structural basis for the functional divergence between the TRPC1/C5 heterotetramer and TRPC5 homotetramer. Notably, TRPC5 residues were found to dominate gating mechanisms, underscoring the complex interplay between subunit composition and functional outcomes in TRPC channels. Our findings provide novel insights into the structural and functional dynamics of TRPC1/C5 heteromers, paving the way for targeted therapeutic strategies in TRPC5-related disorders.

biophysics↗

bioRxiv2024

Cryo-EM structures of human cone visual pigments

Trichromatic color vision in humans constitutes a pivotal evolutionary adaptation, endowing individuals with the capacity to discern and discriminate a diverse spectrum of colors. This unique visual capability confers a selective advantage crucial for successful adaptation, survival, and reproductive success in the natural environment. Color vision in humans is facilitated by the red, green, and blue cone visual pigments within cone photoreceptor cells. These pigments consist of a G-protein-coupled receptor opsin apoprotein and a chromophore covalently linked to opsins. Despite the elucidated structure of rhodopsin, the structures of cone visual pigments have yet to be determined. Here, we present the cryo-EM structures of three human cone visual pigments in complex with G proteins. Our structural analysis reveals detailed interactions between cone opsins, all-trans-retinal, and G proteins, indicating their active state. We also provide a concise summary and analysis of mutations in human cone opsins, elucidating potential relationships between residue substitutions and spectral tuning. Notably, S1162.67Y, A2335.52S, Y2776.44F were found to induce a blue shift in the absorption spectrum of the red-pigment, while the substitutions W2816.48Y and K3127.43A resulted in the absence of the absorption spectrum. The structural elucidation of human cone visual pigments significantly contributes to our understanding of how distinct types of cone cells perceive light across varying wavelengths. Furthermore, it provides a deeper insight into the functioning of the human trichromatic vision system, probing the mechanisms enabling humans to perceive a broad spectrum of colors.

biophysics↗

bioRxiv2023

Negative allosteric modulation of the μ-opioid receptor

The {micro}-opioid receptor ({micro}OR) is a well-established target for analgesia, yet conventional opioid receptor agonists cause serious adverse effects, notably addiction and respiratory depression, which have led to the present opioid overdose epidemic. {micro}OR negative allosteric modulators (NAMs) may serve as powerful tools in preventing opioid overdose deaths, but promising chemical scaffolds remain elusive. We screened a large DNA-encoded chemical library against inactive {micro}OR, counter-screening with active, G-protein and agonist bound receptor to "steer" selections toward functional negative allosteric modulators. We discovered a NAM compound with high and selective enrichment to inactive {micro}OR; the molecule potently blocks the activity of orthosteric agonists and enhances the affinity of the key opioid overdose reversal molecule, naloxone. It accomplishes this by binding to a site on the extracellular vestibule proximal to naloxone, stabilizing a unique inactive conformation of the extracellular portions of the second and seventh transmembrane helices. The NAM perturbs orthosteric ligand kinetics in therapeutically desirable ways and works cooperatively with low doses of naloxone in vivo to inhibit morphine-induced antinociception, respiratory depression and conditioned place preference while minimizing withdrawal behaviors. Our results provide detailed structural insights into the mechanism of a negative allosteric modulator for the {micro}OR and demonstrate how it can be exploited in vivo.

biochemistry↗

bioRxiv2023

Conformational dynamics of the μ-opioid receptor determine ligand intrinsic efficacy

The -opioid receptor (OR) is an important target for pain management and the molecular understanding of drug action will facilitate the development of better therapeutics. Here we show, using double electron-electron resonance (DEER) and single-molecule fluorescence resonance energy transfer (smFRET), how ligand-specific conformational changes of the OR translate into a broad range of intrinsic efficacies at the transducer level. We identify several cytoplasmic receptor conformations interconverting on different timescales, including a pre-activated receptor conformation which is capable of G protein binding, and a fully activated conformation which dramatically lowers GDP affinity within the ternary complex. Interaction of {beta}-arrestin-1 with the OR core binding site appears less specific and occurs with much lower affinity than binding of G protein Gi. One-Sentence SummaryLigand-dependent conformational dynamics of the -opioid receptor determine downstream signaling efficacy.

biochemistry↗

bioRxiv2022

Single cell Transcriptome and T cell Repertoire Mapping of the Mechanistic Signatures and T cell Trajectories Contributing to Vascular and Dermal Manifestations of Behcet Disease

Behcets disease (BD) is a form of vasculitis characterized by complex multi-organ manifestations that may frequently recur and induce major tissue damage. Although genetic association studies have identified a number of risk factors, the etiology of BD and its tissue manifestations remains unknown, and the landscape of immune responses in BD is opaque, particularly in terms of inflammatory recurrence. In this study, we mapped the transcriptomes of the immune cell compartment in BD at single-cell resolution, sampling both circulation and affected skin in order to chart the immune interplay driving pathogenesis. Through comprehensive expression and communication analysis of the twenty major cell types identified, we observe striking mechanistic differences in immune response between BD skin lesions and peripheral circulation involving TNF signaling and T cell migration. Through integrated TCR sequencing, we further discover a pattern of clonal sharing between circulating and skin CD8+T cell populations along a trajectory defined by the acquisition of tissue-residential properties. In addition, we also identify a population of expanded CD4+ Tregs with the propensity to produce IL-32. Instead of suppressing effector T cell proliferation and function, IL-32 triggers increased expression of CD97, and may thus encourage prolonged local T cell activity in the skin. Collectively, our data serve to advance understandings of contributions of varying immune cell types to BD pathogenesis in the vasculature and skin, as well as the lifecycle patterns of T cells clones in this context. These data may also assist in further investigations of the mechanisms contributing to Treg dysfunction in systemic autoimmunity, while generating a conceptual model of T cell function contributing to BD recurrence.

immunology↗

bioRxiv2021

Structural insights into distinct signaling profiles of the μOR activated by diverse agonists

Drugs targeting the G protein-coupled -opioid receptor (OR) are the most effective analgesics available but are also associated with fatal respiratory depression. While some partial opioid agonists appear to be safer than full agonists, the signaling pathways responsible for respiratory depression have yet to be elucidated. Here we investigated the structural and mechanistic basis of action of lofentanil (LFT) and mitragynine pseudoindoxyl (MP), two OR agonists with different safety profiles. LFT, one of the most potent and lethal opioids, and MP, a derivative from the kratom plant with reduced respiratory depression in animal studies at equianalgesic doses, exhibited markedly different signaling efficacy profiles for G protein subtype activation and recruitment of {beta}-arrestins. Cryo-EM structures of the OR-Gi1 complex with MP (2.5[A]) and LFT (3.2[A]) revealed that the two ligands engage distinct sub-pockets, and molecular dynamics (MD) simulations showed additional differences in the binding site that propagate to the intracellular side of the receptor where G proteins and {beta}-arrestins bind. While MP favors the precise G protein-bound active state observed in the cryo-EM structures, LFT favors a distinct active state. These results highlight how drugs engaging different parts of the OR orthosteric pocket can lead to distinct signaling outcomes.

biophysics↗

bioRxiv2021

Structure Determination of Inactive-State GPCRs with a Universal Nanobody

Cryogenic electron microscopy (cryo-EM) has widened the field of structure-based drug discovery by allowing for routine determination of membrane protein structures previously intractable. However, despite representing one of the largest classes of therapeutic targets, most inactive-state G protein-coupled receptors (GPCRs) have remained inaccessible for cryo-EM because their small size and membrane-embedded nature impedes projection alignment for high-resolution map reconstructions. Here we demonstrate that the same single-chain camelid antibody (nanobody) recognizing a grafted intracellular loop can be used to obtain cryo-EM structures of different inactive-state GPCRs at resolutions comparable or better than those obtained by X-ray crystallography. Using this approach, we obtained the structure of human neurotensin 1 receptor (NTSR1) bound to antagonist SR48692, of {micro}-opioid receptor (MOR) bound to the clinical antagonist alvimopan, as well as the structures of the previously uncharacterized somatostatin receptor 2 (SSTR2) in the apo state and histamine receptor 2 (H2R) bound to the H2 blocker famotidine. Each of these structures yields novel insights into ligand binding and specificity. We expect this rapid, straightforward approach to facilitate the broad structural exploration of GPCR inactive states without the need for extensive engineering and crystallization.

biophysics↗

bioRxiv2021

A Promising Chemical Series of Positive Allosteric Modulators of the μ-Opioid Receptor that Enhance the Antinociceptive Efficacy of Opioids but not their Adverse Effects

Positive allosteric modulators (PAMs) of the {micro}-opioid receptor (MOR) have been proposed to exhibit therapeutic potential by maximizing the analgesic properties of clinically used opioid drugs while limiting their adverse effects or risk of overdose as a result of using lower drug doses. We herein report in vitro and in vivo characterization of two small molecules from a chemical series of MOR PAMs that exhibit: (i) MOR PAM activity and receptor subtype selectivity in vitro, (ii) a differential potentiation of the antinociceptive effect of oxycodone, morphine, and methadone in mouse models of pain that roughly correlates with in vitro activity, and (iii) a lack of potentiation of adverse effects associated with opioid administration, such as somatic withdrawal, respiratory depression, and analgesic tolerance. This series of MOR PAMs holds promise for the development of adjuncts to opioid therapy to mitigate against overdose and opioid use disorders.

neuroscience↗

bioRxiv2021

A novel mitragynine analog with low efficacy mu-opioid receptor agonism displays antinociception with attenuated adverse effects

Dried kratom leaves are anecdotally used for the treatment of pain, opioid dependence, and alcohol use disorder. We have previously shown that kratoms natural products (mitragynine) and semi-synthetic analogs (7-hydroxy mitragynine (7OH) and mitragynine pseudoindoxyl) are mu opioid receptor (MOR) agonists that show minimal {beta}-arrestin2 recruitment. To further investigate the structure activity relationships of G-protein potency, efficacy, and {beta}-arrestin2 recruitment, we diversified the mitragynine/7OH templates at the C9, -10 and -12 positions of the aromatic ring of the indole moiety. Three lead C9 analogs, synthesized by swapping the 9-methoxy group with varied substituents, namely phenyl (SC11), methyl (SC12), 3-furanyl (SC13), were further characterized using a panel of in vitro and ex vivo electrophysiology assays. All three compounds were partial agonists with lower efficacy than both DAMGO and morphine in heterologous G-protein assays and synaptic physiology. SC11-13 also showed lower recruitment of both {beta}-arrestin subtypes compared to DAMGO, and in assays with limited MOR receptor reserve, the G-protein efficacy of SC11, SC12 and SC13 was comparable to buprenorphine. In mouse models, at equianalgesic doses SC13 showed MOR-dependent analgesia with potency similar to morphine without respiratory depression, hyperlocomotion, constipation, or place conditioning. Taken together, these results suggest that MOR agonists with a G-protein efficacy profile similar to buprenorphine can be developed into opioids that are effective analgesics with greatly reduced liabilities.

pharmacology and toxicology↗

bioRxiv2020

Regional radiomics similarity networks (R2SNs) in the human brain: reproducibility, small-world properties and a biological basis

BackgroundStructural covariance network (SCN) has been applied successfully to structural magnetic resonance imaging (MRI) study. However, most SCNs were constructed by the unitary marker, which was insensitive for the different disease phases. The aim of this study is to devise a novel regional radiomics similarity network (R2SN) that could provide more comprehensive information in morphological network analysis. MethodsRegional radiomics similarity network (R2SN) was constructed by computing the Pearson correlations between the radiomics features extracted from any pair of regions for each subject. We further assessed the small-world property of R2SN using the graph theory method, as well as the reproducibility in the different datasets and the reliability with test-retest analysis. The relationship between the R2SN and inter-regional co-expression of gene enriched was also explored, as well as the relationship with general intelligence. ResultsThe R2SN can be replicated in different datasets, also regardless of using different feature subsets. The R2SN showed high reliability with the test-retest analysis (ICC>0.7). Besides, the small-word property ({sigma}>2) and the high correlation with the gene expression (R=0.24, P<0.001) and the general intelligence was found by R2SN. ConclusionR2SN provides a novel, reliable, and biologically plausible method to understand human morphological covariance based on structural MRI. Impact StatementImaging biomarkers are the cornerstone of modern radiology, and the development of valid biomarkers is crucial for optimizing individualized prediction in neurological disorders like AD. Thus, the development of the data mining method from neuroimaging is crucial for adding the biomarkers of disease. This study confirmed that R2SN provides a novel, robust and biologically plausible model and a new perspective for understanding the human brain, therefore. Thus, the R2SN has great promise in further study.

neuroscience↗

bioRxiv2019

Skin transcriptome reveals the Periodic changes in genes underlying hair follicle cycling in Cashmere

Cashmere goats, as an important part of animal husbandry production, make outstanding contributions to animal fiber industry. In recent years, a great deal of research has been done on the molecular regulation mechanism of hair follicle cycle growth. However, there are few reports on the molecular regulation mechanisms of secondary hair follicle growth cycle in cashmere goats. In this study, we used transcriptome sequencing technique to sequence the skin of Inner Mongolia cashmere goats in different periods, Analyze the variation and difference of genes in the whole hair follicle cycle. And then, we verified the regulation mechanism of cashmere goat secondary hair follicle growth cycle by fluorescence quantitative PCR. As the result shows: The results of tissue section showed that the growth cycle of cashmere hair could be divided into three distinct periods: growth period (March-September), regression period (September-December) and resting period (December-March). The results of differential gene analysis showed that March was considered the beginning of the cycle, and the difference of gene expression was the most significant. Cluster analysis of gene expression in the whole growth cycle further supported the key nodes of the three periods of villus growth, and the differential gene expression of keratin corresponding to the villus growth cycle further supported the results of tissue slices. Quantitative fluorescence analysis showed that KAP3.1, KRTAP 8-1 and KRTAP 24-1 genes had close positive correlation with the growth cycle of cashmere, and their regulation was consistent with the growth cycle of cashmere. However, there was a sequence of expression time, indicating that the results of cycle regulation made the growth of cashmere change.

genomics↗