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Ding, W.

Publications and source records attributed to Ding, W..

At least 37 records · Page 2Linked to original sources

Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small cell lung cancer

Combined small-cell lung cancer (cSCLC) is a rare and aggressive subtype of small-cell lung cancer (SCLC) characterized by mixed histology comprising SCLC and non-small cell lung cancer (NSCLC) or large cell neuroendocrine carcinoma (LCNEC) components. Despite its histological heterogeneity and even poorer prognosis than de novo SCLC, cSCLC is clinically managed as pure SCLC, largely due to the lack of molecular insights into its biology, lineage plasticity, and tumor microenvironment (TME). Here, we perform multi-omics profiling, including spatially-resolved whole-exome sequencing (WES), spatial transcriptomics (ST) and single-nucleus RNA sequencing (snRNA-seq), across 19 treatment-naive cSCLC tumors spanning all major histological subtypes. Our analysis reveals that SCLC and NSCLC/LCNEC components share a monoclonal origin, with histological divergence characterized by distinct mutation and copy number alteration patterns. ST and snRNA-seq uncover spatially exclusive or interspersed tumor domains, with distinct TME compositions and immune landscapes. Notably, fibroblast-rich regions enriched for an aggressive fibroblast subtype form boundaries between tumor domains, potentially influencing immune TME and treatment responses. We identify extensive lineage plasticity within cSCLC, including active LUAD-to-SCLC transdifferentiation and SCLC subtype coexistence, suggesting transitional cellular states not captured by traditional diagnostics. Leveraging these insights, we developed the cSCLC Detector, a sensitive mutation-based diagnostic assay that improves the detection of cSCLC in tissue and liquid biopsy samples. Our findings offer critical insights into cSCLC lineage plasticity, cellular evolution, and microenvironmental interactions, underscoring the need for tailored treatment strategies and diagnostic frameworks for this aggressive cancer subtype.

cancer biology↗

p300/CBP-Driven Acetylation Stabilizes PARP7 to Reinforce Negative Feedback on IFN-I Signaling

Immune suppression within the tumor microenvironment (TME) remains a major barrier to effective immunotherapy, yet the molecular mechanisms that constrain type I interferon (IFN-I) signaling in tumor cells are incompletely understood. PARP7 (also known as TIPARP), a mono-ADP-ribosyltransferase, has been reported to suppress IFN-I signaling by modifying TBK1. Here, we identify PARP7 as a previously unrecognized acetylation substrate of the histone acetyltransferases p300 and CBP. We show that p300/CBP-mediated acetylation of PARP7 at lysine 32 markedly enhances its stability, thereby reinforcing repression of the TBK1-IRF3-STAT1 axis and suppressing IFN-{beta}-induced expression of interferon-stimulated genes, including CXCL10. Beyond their established function as transcriptional co-activators that support tumor cell proliferation, our findings uncover a direct role for p300/CBP in shaping innate antitumor immunity. Pharmacological inhibition of p300/CBP catalytic activity by A-485 abolishes PARP7 acetylation, accelerates its proteasomal turnover, and restores IFN-I signaling. In immunocompetent tumor models, this is accompanied by enhanced CD8+ T-cell infiltration and effector function. Together, these findings define a p300/CBP-PARP7 regulatory axis, uncover a non-canonical role for p300/CBP in innate immune suppression, and nominate this pathway as a tractable target for restoring antitumor immunity.

cancer biology↗

An Integrated Single-Cell and Epigenomic Resource for Comparative Analysis of the Basal Ganglia

The basal ganglia regulate motor, cognitive, and affective behaviors, and their dysfunction underlies diverse neurological and psychiatric disorders. Comprehensive, accessible multi-omics resources are needed to understand the regulatory mechanisms governing basal ganglia cell types. Here we present an open, interactive web-based platform for exploring single-cell multi-omics datasets from basal ganglia, generated using 10X Multiome, snm3C-seq, and Paired-Tag technologies from the BICAN (NIH BRAIN Initiative Cell Atlas Network) consortium. The platform is available at https://basalganglia.epigenomes.net/ and enables integrated visualization of gene expression, chromatin accessibility, DNA methylation, histone modifications, and chromatin conformation across cell types and human, macaque, marmoset, and mouse species, with direct genome browser support and comparative epigenomic functionality. Representative analyses demonstrate cell-type-specific regulatory landscapes, conserved and species-specific regulatory elements, and links between epigenomic regulation and transcription. This resource provides a scalable, community-oriented foundation for advancing basal ganglia biology and interpreting regulatory mechanisms relevant to brain function and disease. HighlightsO_LIIntegrated single-cell epigenomic resource for basal ganglia C_LIO_LIInteractive genome browser enables multi-omics and cross-species exploration C_LIO_LIReveals cell-type-specific and species-specific regulatory landscapes C_LIO_LISupports community access to complex brain epigenomic datasets C_LI

genomics↗

Shared Maturation Pathways of HIV-1 Envelope-reactive V3-glycan bnAb Lineages in Human and Rhesus Macaque

ABSTRACTUnderstanding broadly neutralizing antibody (bnAb) lineage development in rhesus macaques (RMs) infected with Simian-HIV (SHIV) may inform HIV-1 vaccine designs. We analyzed HIV-1 envelope-antibody coevolution in 18 RMs infected by SHIV.BG505 (subtype A) and found highly conserved patterns of antibody recognition and Env escape, including in three animals that developed V3-glycan bnAbs. From one RM with V3-glycan targeted plasma breadth, we isolated 203 members of a single clonal Ab lineage designated DH1030. DH1030 Abs demonstrated striking genetic, functional and structural similarities with the human V3-glycan bnAb lineage DH270, which was isolated from an individual with subtype C HIV-1 CH848 infection. Notably, human-DH270 and macaque-DH1030 bnAbs shared early improbable mutations in HCDR2 that were critical for bnAb development. Thus, key improbable mutations and convergent patterns of antibody evolution and epitope recognition were shared across primate species and distinct HIV-1 subtypes, findings that may be leveraged in new HIV-1 vaccine designs. ONE SENTENCE SUMMARYBroadly neutralizing antibodies targeting HIV-1 envelope surface protein develop via a common maturation pathway across primate phylogeny.

immunology↗

SPSID: A single-parameter shrinkage inverse-diffusion for denoising gene regulatory networks

Inferring gene regulatory networks (GRNs) from expression data is a fundamental problem in systems biology, but its accuracy is often undermined by structural noise arising from transitive correlations. These indirect interactions can obscure the true regulatory architecture, leading to a high rate of false positives. To address this, we introduce SPSID (Single-Parameter Shrinkage Inverse-Diffusion), a novel and robust network denoising framework. SPSID employs a principled spectral filter, built upon a shrinkage-regularized inverse-diffusion operator, to mathematically distinguish direct, one-step interactions from multi-step, indirect paths. This approach guarantees numerical stability and, through a fixed default parameter, effectively eliminates the need for data-dependent tuning. We conducted a comprehensive evaluation of SPSID on both extensive simulations and the gold-standard DREAM5 benchmark. The results demonstrate that SPSID outperforms state-of-the-art baseline methods in both AUROC and AUPR, exhibiting good stability across diverse network conditions. Furthermore, it functions as a post-processing tool, elevating the performance of multiple upstream GRN inference methods. By providing a computationally efficient and parameter-free solution to filter structural noise, SPSID offers a readily applicable tool for uncovering the underlying topology of complex biological networks with greater fidelity.

bioinformatics↗

Ergothioneine: Evaluation of a Novel Antioxidant for Targeting Ocular Oxidative Stress

PurposeTo evaluate L-Ergothioneine (EGT), a naturally occurring amino acid and endogenous antioxidant, as a novel therapeutic agent for oxidative stress-related ocular diseases. This evaluation specifically aimed to address the challenge of targeted ocular delivery by assessing EGT s antioxidant potency, stability, ocular tolerance, and crucially, its ability to reach the posterior segment (fundus) via topical administration. MethodsThis study evaluated EGT as a novel ocular antioxidant by examining its radical scavenging capacity (DPPH assay compared to glutathione, astaxanthin, and coenzyme Q10), stability (at 40{degrees}C/75% relative humidity for six months using HPLC), ocular tolerance (using a New Zealand rabbit model), and fundus delivery efficiency (topical D9-EGT eye drops quantified by LC-MS/MS). ResultsEGT demonstrated significantly superior radical scavenging activity, exhibiting 6.4-fold and 46-fold higher rates than glutathione and coenzyme Q10, respectively, at 50 ppm. It also showed excellent stability, retaining over 97% of its initial concentration after six months, and caused no ocular irritation at any tested concentration (score 0). Importantly, topical administration of EGT resulted in effective fundus delivery, with peak concentrations reached at 0.5 hours post-application (1181 {+/-} 56 ng/g), confirming successful penetration through corneal and scleral barriers. These findings establish EGT as a potent, multi-mechanistic antioxidant characterized by high stability, ocular safety, and exceptional posterior segment penetrance via non-invasive eye drops. ConclusionThese findings establish EGT as a potent, multi-mechanistic antioxidant characterized by high stability, ocular safety, and exceptional posterior segment penetrance via non-invasive eye drops. By overcoming key delivery limitations, EGT presents a promising therapeutic strategy for oxidative stress-related ocular diseases such as age-related macular degeneration and diabetic retinopathy. Further studies are warranted to evaluate its long-term efficacy and clinical translation potential.

pharmacology and toxicology↗

Circuit specific specialization of human basal ganglia astrocytes

Astrocytes shape synapses and circuits, yet human basal ganglia astrocyte diversity is incompletely defined. We built a multimodal atlas by integrating single-nucleus RNA-sequencing and chromatin accessibility with DNA methylation, 3D chromatin conformation, and spatial transcriptomics, then mapped basal ganglia programs onto a whole-brain reference. Astrocytes segregated into three anatomical subgroups spanning striatal gray matter, extra-striatal gray matter, and white matter, with subgroup-biased neurotransmitter transporters and synapse-associated programs consistent with differences in dominant afferent input. Within striatum, dorsal and ventral astrocyte populations aligned with distinct microcircuits and were conserved in nonhuman primates. A deep learning sequence model identified subgroup-associated enhancer code and, when benchmarked against published enhancer-AAV datasets, supported the design of candidate viral tools to target basal ganglia astrocyte programs in vivo. Together, these data define major axes of human astrocyte specialization and provide a framework for cell type-specific dissection of basal ganglia function.

neuroscience↗

Structural Basis of Asymmetric Class C GPCR activation and distinct Gq coupling induced by force stimulation

Mechanosensation is essential for diverse physiological processes. While many G protein-coupled receptors (GPCRs) are known to be mechanosensitive, the underlying mechanism remains largely unknown. Here, we reveal that mechanical force induces Gq activation of mGlu2, a balance modulator residing in kinocilia, but not other 7 mGlu members. Force activates mGlu2 through a conserved N-terminal force transduction motif (FTM) via a unique cis mechanism. We engineered a potent FTM-derived peptide agonist that recapitulates force-induced activation and resolved cryo-EM structures of apo-mGlu2, FTM-mGlu2, LFTM-{Psi}EK-mGlu2 and LFTM-{Psi}EK-mGlu2-Gq. The structures reveal that an atypical FTM binding to a previously uncharacterized pocket induces asymmetric 7TM domain rearrangement, enabling Gq coupling via an ICL1-TM3/6/7 interface, fundamentally distinct from the glutamate-induced Gi coupling mode of mGlu2. Compared with Gi-coupled mGlu2, the 5 helix of Gq rotated by 180{degrees}, penetrating deeper (8 [A]) into a hydrophobic pocket. Disruption of the M7947.32-F7806.57-F7766.53 hydrophobic triad core and a conformational propagation path predominantly comprising TM6-7 residues are identified as key elements mediating force induced mGlu2 activation. Further In vivo rescue experiments support that mGlu2s mechanosensitivity is dependent on FTM and is required for vestibular function. This work establishes a paradigm for class C GPCR mechanotransduction, revealing unprecedented structural mechanisms underlying force-induced Gq coupling and offering a chemical toolset to modulate mechanical signaling of GPCR.

cell biology↗

Hypothesis Testing Governs an Efficiency-Flexibility Trade-off in Strategic Motor Learning

It remains unknown how people discover an effective movement strategy when the environment changes (e.g., when adapting to a new computer trackpad). We propose that strategic adaptation operates through hypothesis testing: learners generate candidate hypotheses, discard those inconsistent with feedback, and iteratively refine their actions through practice. A core prediction of this account is an efficiency-flexibility trade-off. In constrained environments, where few hypotheses are viable, learning slows as people eliminate competing hypotheses but supports broader generalization. In unconstrained environments, where many hypotheses are viable, learning accelerates as learners adopt one of many expedient hypotheses but yields poorer generalization. In two reaching experiments (N = 560), we varied the arrangement of target positions to manipulate how tightly the hypothesis space was constrained. As predicted, the constrained group learned more slowly but generalized more--an efficiency- flexibility trade-off that highlights hypothesis testing as a novel process governing human motor learning.

neuroscience↗

Distributed activity in the human posterior putamen distinguishes goal-directed from habitual control in humans

How do some individuals rapidly form habits while others maintain flexible, goal-directed control? Using multivariate fMRI decoding in 199 participants, we show that distributed neural activity patterns in the left posterior putamen during initial learning predict individual behavioral strategy on a subsequent outcome devaluation test. This prediction generalized across two independent cohorts of healthy adults and psychiatric patients with heterogeneous diagnoses and was anatomically specific to the posterior putamen. Critically, predictive neural signatures were present during training, before strategy expression after devaluation, enabling prospective classification of habitual versus goal-directed behavior. These findings demonstrate that stable individual differences in behavioral control are reflected in circumscribed brain activity during learning, highlighting the posterior putamen as a candidate neural marker of habit propensity with potential clinical relevance.

neuroscience↗

Large Language Models for Accessible Reporting of Bioinformatics Analyses in Interdisciplinary Contexts

Health and life scientists frequently rely on quantitative experts to perform complex data analyses, yet interpretation of these results often becomes a bottleneck due to communication barriers across disciplines. Large Language Models (LLMs) have the potential to act as intermediaries that translate analytical outputs into accessible scientific narratives, but their ability to reliably interpret outputs from real-world biomedical data analyses across disciplines remains unclear. In this study, we investigate how state-of-the-art LLMs behave when integrated into real bioinformatics analysis workflows as report-generation assistants for interdisciplinary teams. We evaluated LLM-generated summaries using both automated and human evaluation frameworks to ensure holistic evaluation. Automated assessment employed multiple choice questions designed using Bloom's taxonomy to assess multiple levels of understanding, while human evaluation tasked scientists to score summaries for factual consistency, lack of harmfulness, comprehensiveness, and coherence. All generally produced readable and largely safe summaries, confirming their value for first-pass translation of technical analyses, however frequently misinterpreted visualisations, produced verbose summaries and rarely offered novel insights beyond what was already contained in the analytics. Our findings suggest that LLMs are best suited for easing interdisciplinary communication rather than replacing domain expertise and human oversight remains essential to guarantee accuracy, interpretative depth, and the generation of genuinely novel scientific insights.

bioinformatics↗

Epstein-Barr Virus Encoded lncRNAs Control the Viral Lytic Switch

Epstein-Barr virus (EBV) uses a biphasic lifecycle, switching between latent and lytic phases to persistently infect most adults. Latency is observed in most tumor cells of the 200,000 EBV-associated cancers/year. EBV reactivation is increasingly implicated in autoimmune diseases, including multiple sclerosis. However, mechanisms that regulate EBV reactivation have remained incompletely understood. Here, we leveraged multi-omic approaches to reveal the existence of pro-latency and a pro-lytic viral long noncoding RNAs (lncRNAs) that counter-regulate the lytic switch. Known reactivation triggers rapidly induced expression of the pro-lytic lncRNA, which encodes an RNA G-quadruplex that mediated its interaction with CTCF. The pro-lytic lncRNA occupies viral origin of lytic replication enhancers and promotes their looping to the immediate early lytic promoter to trigger reactivation. The pro-latency lncRNA duplexes with the pro-lytic RNA to impede its interactions with CTCF. These studies lay a foundation for therapeutic approaches to manipulate the EBV lytic switch.

microbiology↗

Transplantation of active mitochondria condensed in liquid-liquid phase-separated hydrogels ameliorates myocardial ischemia-reperfusion injury

Mitochondrial dysfunction is a key driver of myocardial ischemia-reperfusion injury (MIRI), which exacerbates cardiac damage following the restoration of blood flow. Although single-phase hydrogel-based mitochondria transplantation therapy (MTT) holds promise for restoring cellular energy metabolism, its effectiveness is limited by extracellular calcium-induced mitochondrial degradation. In this study, we design a thermo-sensitive hydrogel utilizing liquid-liquid phase separation (LLPS), composed of gelatin and polyethylene glycol (PEG), to condense freshly isolated mitochondria. Compared to conventional single-phase hydrogels, the LLPS hydrogel significantly increases the sol-gel transition temperature above physiological levels, allowing it to remain injectable at body temperature while enabling rapid mitochondrial release following transplantation. More importantly, the LLPS structure enhances mitochondrial packing density and protects the activity of condensed mitochondria against calcium toxicity through spatial confinement and gelatin-mediated calcium chelation. In vitro, LLPS hydrogel-condensed mitochondria exhibit improved mitochondrial membrane potential and ATP production ability compared to those delivered via single-phase gelatin hydrogel. In vivo, mitochondria released from the LLPS hydrogel are effectively internalized by cardiomyocytes, resulting in improved cardiac function and reduced tissue damage after MIRI. These findings suggest that LLPS-based hydrogels offer a promising strategy to enhance MTT efficacy for MIRI and other mitochondria-related disorders.

bioengineering↗

Model-based and model-free valuation signals in the human brain vary markedly in their relationship to individual differences in behavioral control

Human action selection under reinforcement is thought to rely on two distinct strategies: model-free and model-based reinforcement learning. While behavior in sequential decision-making tasks often reflects a mixture of both, the neural basis of individual differences in their expression remains unclear. To investigate this, we conducted a large-scale fMRI study with 179 participants performing a variant of the two-step task. Using both cluster-defined subgroups and computational parameter estimates, we found that the ventromedial prefrontal cortex encodes model-based and model-free value signals differently depending on individual strategy use. Model-based value signals were strongly linked to the degree of model-based behavioral reliance, whereas model-free signals appeared regardless of model-free behavioral influence. Leveraging the large sample, we found individuals lacking both model-based behavior and model-based neural signals exhibited impaired state prediction errors, suggesting a difficulty in building or updating their internal model of the environment. These findings indicate that model-free signals are ubiquitous across individuals, even in those not behaviorally relying on model-free strategies, while model-based representations appear only in those individuals utilizing such a strategy at the behavioral level, the absence of which may depend in part on underlying difficulties in forming accurate model-based predictions.

neuroscience↗

Pp6-Pfkfb1 axis modulates intracellular bacterial proliferation by orchestrating host-pathogen metabolic crosstalk

Intracellular bacterial pathogens exhibit heterogeneous replication rates within host macrophages, but the mechanisms by which they manipulate host factors for survival remain incompletely understood. Using a fluorescence-dilution reporter system in Salmonella typhimurium (Salmonella)-infected macrophages, we found that Protein Phosphatase 6 (Pp6) was downregulated in macrophages harboring growing bacteria. Conditional knockout of Pp6 elevated host susceptibility to Salmonella-mediated lethality due to compromised antimicrobial defenses. MicroRNA-31 (miR-31) was identified as a negative regulator of Pp6, and its conditional ablation enhanced bacterial clearance. Yeast two-hybrid screening identified 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 1 (Pfkfb1), a metabolic regulator, as a substrate of Pp6. Pp6 deficiency resulted in significantly elevated expression of Pfkfb1, which was highly expressed in macrophages containing replicating Salmonella. Pfkfb1 deletion restricted bacterial proliferation by promoting nitric oxide (NO) production while concurrently suppressing arginase-1 (Arg-1) expression and impairing arginine metabolism in macrophages. Collectively, these results establish the Pp6-Pfkfb1 axis as a key regulator of host metabolic adaptation and intracellular bacterial survival, offering potential therapeutic targets against multidrug-resistant pathogens. Author summaryIntracellular pathogens secrete effector proteins that intercept and modify host cells to usurp host defenses and establish habitable intracellular niches, yet the host factors they manipulate for survival and virulence are not fully understood. Using a fluorescence-dilution reporter system in Salmonella typhimurium (Salmonella)-infected macrophages, we found Protein Phosphatase 6 (Pp6) was significantly decreased in macrophages harboring replicating Salmonella and its deficiency indulged bacterial growth in macrophages. However, the deletion of microRNA-31 (miR-31), a negative regulator of Pp6, enhanced Salmonella clearance. Furthermore, through yeast two- hybrid screening, we identified 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 1 (Pfkfb1) is a substrate of Pp6. And we demonstrated Pfkfb1, abundantly expressed in macrophages containing growing bacteria, is crucial for Salmonella proliferation by regulating nitric oxide (NO) levels, arginase-1 (Arg-1) expression and arginine metabolism. Overall, the molecular changes in Pp6-Pfkfb1 axis drive host metabolic adaptations that enable intracellular bacterial survival.

microbiology↗

ZNF638 represses the transcription of HBV closed circular DNA involving HUSH complex-mediated histone modifications of epigenetic silencing

Hepatitis B virus (HBV) infection poses a critical threat to public health burden worldwide. As the major template of viral transcription, the covalently closed circular DNAs (cccDNAs) of HBV was known to form microchromosomes and interact with various host proteins. In the present study, ZNF638 was found to significantly reduce the transcription of HBV into pgRNAs, and subsequently reduce cccDNA formation and viral propagation. We discovered that ZNF638 was able to bind the preS and S gene regions of HBV, repressing the transcription of cccDNA upon increased modification of H3K9me3 mediated by SETDB1. This epigenetic silencing of cccDNA transcription was further demonstrated to involve the activity of HUSH, a multi-protein complex to mediate epigenetic modifications of histone into suppressed nucleosomes. In in vivo models, we evaluated the effects of ZNF638 deficiency on HBV-targeting siRNA therapy. A significant reduction of the efficacy was observed in animals with reduced ZNF638 expression. In summary, we report that ZNF638 is a potent host factor to repress the transcription of HBV DNAs and to attenuate HBV infection. The role of ZNF638 on HBV repression involves its binding to cccDNA at specific regions for recruiting HUSH complex to write H3K9me3 histone marks for epigenetic silencing. ZNF638 serves as a critical host factor to associate HBV infection and disease progression. Additionally, ZNF638 serves as a potential indicator to predict the outcome of HBV-targeting siRNA therapy.

biochemistry↗

Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV-1 V2 apex broadly neutralizing antibody development

Broadly neutralizing antibodies (bNAbs) are rarely elicited during HIV-1 infection. To identify obstacles to bNAb development, we longitudinally studied 122 rhesus macaques infected by one of 16 different simian-human immunodeficiency viruses (SHIVs). We identified V2 apex as the most common bNAb target and a subset of Envs that preferentially elicited these antibodies. In 10 macaques, we delineated Env-antibody coevolution from B cell priming to bNAb development. Antibody phylogenies revealed permissive developmental pathways guided by evolving Envs that contained few mutations in or near the V2 apex C-strand, which were a sensitive indicator of apex-targeted responses. The absence of such mutations reflected a failure in bNAb priming. These results indicate that efficiency of B cell priming, and not complexities in Env-guided affinity maturation, is the primary obstacle to V2 apex bNAb elicitation in SHIV-infected macaques and identify specific HIV-1 Envs to advance as novel vaccine platforms. One sentence summaryB cell priming is the primary bottleneck to HIV-1 V2 apex bNAb elicitation.

immunology↗

DNA Methylation Dynamics of Dose-dependent Acute Exercise, Training Adaptation, and Detraining

Exercise and diet are direct physical contributors to human health, wellness, resilience, and performance1-5. Endurance and resistance training are known to improve healthspan through various biological processes such as mitochondrial function6-8, telomere maintenance9, and inflammaging10. Although several training prescriptions have been defined with specific merits 1,10-20, the long-term effects of these in terms of their molecular alterations have not yet been well explored. In this study, we focus on two combined endurance and resistance training programs: (1) traditional moderate-intensity continuous endurance and resistance exercise (TRAD) and (2) a variation of high-intensity interval training (HIIT) we refer to as high intensity tactical training (HITT), to assess the dynamics of DNA methylation (DNAm) in blood and muscle derived from males (N=23) and females (N=31), over a 12-week period of training followed by a 4-week period of detraining, sampled at pre-exercise and acute time points, totaling 528 samples. Due to its rapid responsiveness to stimuli and its stability, DNAm has been known to facilitate regulatory cascades that significantly affect various physiological processes and pathways. We find that several thousand differentially methylated regions (DMRs) associated with acute exercise in blood, many of which are shared across males and females. This trend is reversed when comparing the baseline (pre-exercise) time points or post-exercise timepoints at the untrained state with those at the post-conditioned state. Here, muscle shows majority of DNAm changes, with most of those being unique. We also find several hundred "memory" DMRs in muscle that maintain the gain or loss of methylation after four weeks of inactivity. Comparing phenotypic measurements, we find specific DMRs that correlate significantly with mitochondrial function and myofiber switching. Using machine learning, we select a subset of DMRs that are most characteristic of training modalities, sex and timepoint. Most of the DMRs are enriched in pathways associated with immune function, cell differentiation, and exercise adaptation. These findings reveal mechanisms by which exercise- and training-induced epigenetic changes alter immune surveillance, mitochondrial function, and inflammatory response, and underscore the relevance of epigenetic plasticity to health monitoring and wellness.

genomics↗