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Xu, J.

Publications and source records attributed to Xu, J..

At least 109 records · Page 6Linked to original sources

Complete Genomes of Cultivated Gut Bacteria Reveal Mobile Genetic Element-Driven Functional Diversity with Therapeutic Implications

Cultivated bacterial isolates are essential for elucidating gut microbiota functions, yet reliance on fragmented draft genomes and limited mobile genetic element (MGE) annotation has constrained high-resolution analyses. Here, we present the Cultivated Complete Genome Reference (CCGR), a comprehensive compendium of 1,150 fully circularized human gut bacterial genomes. Overcoming draft limitations, CCGR achieves chromosome-scale resolution and reveals distinct evolutionary strategies shaping gene topological organization in response to bacterial growth. Furthermore, we decode the dynamic landscape of MGEs, demonstrating that broad-host-range phages follow strict positional patterns by integrating at conserved chromosomal hotspots flanked by nutrient transporter loci. Importantly, we provide mechanistic in vivo evidence that accessory genomic elements drive strain-level functional heterogeneity. Specifically, the plasmid-encoded scrK gene in Levilactobacillus brevis involved in fructose catabolism is required to mitigate fructose-diet-exacerbated colitis. Collectively, CCGR establishes a framework linking chromosomal architecture and MGEs to bacterial evolution and host health, enabling precise, strain-resolved functional investigations.

microbiology↗

Exploration of Orally Disintegrating Tablet for Sublingual Vaccination against Mucosal Bacterial Infection

Oral mucosal bacterial infections impose a substantial global disease burden, yet current clinical management typically reduces microbial load only transiently and rarely establishes durable protection at the oral surface. Analysis of 200 patients with periodontitis revealed that elevated levels of pathogen-specific salivary secretory Immunoglobulin A (sIgA) were strongly associated with reduced bacterial burden and improved clinical periodontal outcomes, identifying sIgA as a key determinant of effective oral protection. Guided by this observation, we developed a sublingual, orally disintegrating tablet vaccine (Capot) that incorporates bacterial extracellular vesicles providing a comprehensive repertoire of native antigens and multiple pathogen-associated molecular patterns, encapsulated within a calcium phosphate nanoshell to enable safe transmucosal delivery to submandibular lymph nodes. The rapidly disintegrating tablet format minimizes inadvertent swallowing and enhances local mucosal bioavailability. In mice and non-human primates, Capot induced robust and long-lasting salivary sIgA responses without overt oral mucosal or gastrointestinal inflammation and conferred strong protection against primary, recurrent, and antibiotic-resistant periodontitis. Together, these findings establish sublingual tablet vaccination as a practical strategy for selectively engaging oral mucosal immunity and preventing chronic bacterial diseases at oral mucosal surfaces.

bioengineering↗

Efficient Reprogramming of the Epiblast Enables the Generation of Cloned Mice

Somatic cell nuclear transfer (SCNT) can generate viable mammals despite pervasive epigenetic abnormalities in cloned embryos, yet the mechanism underlying this paradox remains unclear. Here we show, using single-cell transcriptomics, that efficient reprogramming occurs exclusively in the epiblast (EPI), but the not primitive endoderm (PrE) of late mouse SCNT blastocysts. Integrating this with previous findings of trophectoderm (TE) aberration, we propose the EPI as the sole effectively reprogrammed lineage. By innovatively employing a Lego-like multi-lineage embryonic aggregation approach, where the extra-embryonic lineages were replaced with fertilization-derived counterparts, we demonstrated that SCNT-derived EPI inherently possesses full-term developmental potential nearly identical to that of fertilized EPI (20.5% vs. 21.8% birth rate), functionally confirming its effective reprogramming. Our study uncovers a lineage-specific asymmetric reprogramming mode where the EPI specifically achieves effective reprogramming, thereby constituting the deterministic basis for cloned animal generation. This work also provides a versatile strategy for investigating lineage potency and function.

developmental biology↗

Telomere-to-telomere assembly and haplotype analysis of tetraploid Dendrobium officinale illuminate Orchidaceae polyploid evolution and mycorrhizal symbiosis genes

Dendrobium officinale is a typical epiphytic orchid. We report the telomere-to-telomere (T2T) genome assembly for D. officinale, representing the first T2T reference genome within the Orchidaceae family. The assembly is anchored to 19 chromosomes and contains 38 complete telomeres and 15 characterized centromeres. We further generated haplotype-resolved assemblies of the autotetraploid genome, identifying 12,761 sets of tetra-allelic genes. Based on synonymous substitution analysis, we inferred that the autotetraploidization event occurred approximately 0.86 million years ago. A systematic analysis of the SWEET gene family across the genus Dendrobium revealed that the gene family size is shaped primarily by epiphytic types and environmental factors. In D. officinale from Langshan, eight SWEET genes were specifically expressed in roots, suggesting they may play specialized roles in the root mycorrhizal system, potentially contributing to the D. officinales ability to recruit and maintain fungal partners. Together, these resources provide valuable foundations for studies of orchid evolution, functional genomics, and molecular breeding.

bioinformatics↗

Metabolic control of mitochondrial plasticity and extracellular vesicle biology drives Cryptococcus neoformans virulence

Metabolic adaptation to nutrient stress is a key but poorly understood driver of fungal virulence. Here, we show that a dominant East Asian lineage of Cryptococcus neoformans (VNIa-5), which disproportionately infects immunocompetent hosts, has undergone lineage-specific rewiring of glucose-responsive stress pathways. Integrating population genomics, transcriptomics, and experimental infection models, we demonstrate that VNIa-5s clinical dominance is not explained by environmental prevalence. Instead, selective activation of Snf1 signalling links glucose limitation to mitochondrial tubularisation, extracellular vesicle remodelling, and enhanced melanization. Under low-glucose conditions, VNIa-5 exhibits marked mitochondrial plasticity and extracellular vesicle compositional shifts resembling hypervirulent outbreak lineages of Cryptococcus gattii. Following experimental induction of dormancy, VNIa-5 shows significantly increased virulence in vivo compared with the closely related but clinically rare VNIa-31 subclade, with host survival tightly correlated with mitochondrial morphology. These findings identify metabolic stress integration as a central mechanism shaping cryptococcal virulence and disease in immunocompetent human hosts.

microbiology↗

Distinct Biological and Biomechanical Features in TMJ and Knee Cartilages

The temporomandibular joint (TMJ) and the knee joint are two of the most frequently used joints in the body, with the mandibular condylar cartilage (MCC) and the articular cartilage (AC) covering the joint bone surfaces, respectively. Compromised MCC functions lead to various temporomandibular disorders (TMD), including TMJ osteoarthritis (TMJ OA); however, the mechanisms governing MCC homeostasis and its biomechanical properties are still poorly understood. In this study, we comprehensively compared the biological and biomechanical features of the MCC and AC in mice. Histological analysis on P1, P21, 3-month, and 10-month mice revealed the most drastic structural differences between MCC and AC at occlusion establishment (P21), with MCC found to be more susceptible to age-associated cartilage degeneration. Immunostaining revealed differentially distributed cartilage extracellular matrix components in MCC and AC, including collagen type I, II, and X, and highly enriched expression of several key transcriptional factors at the posterior region of the MCC, including sex determining region Y-box 9 (SOX9), runt-related transcription factor 2 (RUNX2), and scleraxis (SCX). The posterior MCC also houses a group of long-lasting, slow-proliferative cells, as evidenced by the BrdU/EdU incorporation assay, suggesting the presence of a potential stem/progenitor cell niche at the posterior TMJ. Unbiased nanoindentation analysis revealed distinct biomechanical features between these joint cartilages. MCC exhibits a significantly lower elastic modulus (EIT) than AC, with the highest EIT observed at the anterior TMJ, which is oppositely associated with the fibrous layer thickness, but positively correlated with the ratio of the collagen type X-positive matrix in the cartilaginous layer. Altogether, this study provides a basic understanding of the biological and biomechanical features of the cartilaginous tissues in two important joints, which may facilitate our understanding of the physiology in the TMJ and knee joint, and support the applications of mouse models to study TMJ dysfunctions.

developmental biology↗

Retrotransposons Promote Clonal Hematopoiesis Through Aging-Related Stromal Inflammation

Clonal hematopoiesis (CH) is an age-related phenomenon driven by the expansion of mutant hematopoietic stem cell (HSC) clones, most commonly harboring mutations in DNMT3A. While inflammation is known to promote CH, the upstream triggers of this inflammatory state remain unclear. We show that aging selectively upregulates retrotransposons in the non-hematopoietic cell compartment of the murine bone marrow, particularly in mesenchymal stromal cells. Using in vivo competitive transplant models, we demonstrate that retrotransposon-induced inflammation cell-extrinsically promotes Dnmt3a-mutant HSC expansion. This competitive advantage arises from mutant HSC resistance to inflammation-driven cell cycle perturbations. Mechanistically, we show that retrotransposon activation induces type I interferon signaling via viral mimicry, such that stromal knockdown of either Irf3 or Sting abrogates the competitive advantage of Dnmt3a-mutant HSCs. Our findings establish stromal-selective retrotransposon reactivation as a previously unrecognized, non-cell-autonomous source of inflammation that contributes to age-associated CH. Key PointsO_LIRetrotransposons remodel the aging niche through viral mimicry pathways to promote Dnmt3a-mutant clonal hematopoiesis. C_LIO_LIRetrotransposon-mediated inflammation impairs wild-type HSC fitness, while Dnmt3a-mutant HSCs resist inflammatory changes. C_LI

cancer biology↗

Magnetic sensitivity of cryptochrome 4a in domesticated quail with migratory origins

Magnetoreception, the ability of animals to sense the Earths magnetic field, is a fascinating biological phenomenon. Cryptochromes, in particular cryptochrome 4a (CRY4a), have emerged as potential key players in mediating magnetic sensing in various bird species. Building on an earlier investigation of magnetic field effects on European robin (Erithacus rubecula) CRY4a, we focus here on CRY4a from the common/Japanese quail (Coturnix coturnix/japonica). Japanese quail is one of the very small number of domesticated bird species whose wild forms are migratory. A detailed spectroscopic study of purified quail CRY4a shows that it has magnetic properties similar to robin CRY4a, suggesting that the quail could be a promising additional experimental model with which to unravel the intricacies of magnetoreception in migratory birds.

biophysics↗

Modulation of Intrauterine Adhesion Fibrosis by Lactobacillus delbrueckii: Insights from ERK1/2 Pathway Inhibition and Multi-omics Analyses

BackgroundIntrauterine adhesion (IUA) is an important cause of infertility and menstrual disorders, substantially reducing quality of life and increasing healthcare costs. Current treatments, including hysteroscopic adhesiolysis and hormonal therapy, show limited efficacy and high recurrence, highlighting the need for new therapeutic strategies. MethodsWe evaluated the antifibrotic effects of Lactobacillus delbrueckii in IUA, with a focus on ERK1/2 signaling inhibition. A multimodal framework integrating clinical outcomes, cellular and animal experiments, uterine microbiome profiling (16S rRNA sequencing), transcriptomics, and metabolomics was used to characterize host-microbe-metabolite interactions relevant to fibrosis. ResultsClinically, patients receiving L. delbrueckii showed lower adhesion formation scores(AFS) and reduced recurrence. Microbiome profiling demonstrated increased uterine microbial diversity and altered community composition in treated patients, accompanied by reduced expression of fibrosis-associated markers. In both cellular and mouse models, L. delbrueckii decreased fibrotic marker expression and reduced ERK1/2 phosphorylation. Metabolomics identified elevated 3-hydroxyanthranilic acid (3-HAA) in treated groups, suggesting a potential role in immune and inflammatory modulation. ConclusionL. delbrueckii attenuates IUA-associated fibrosis, at least in part, by suppressing ERK1/2 phosphorylation and increasing the abundance of the metabolite 3-HAA. These findings support the therapeutic potential of L. delbrueckii for improving uterine repair and reproductive outcomes. Future studies should validate efficacy and safety in larger, diverse cohorts and assess long-term outcomes.

microbiology↗

Absence of 8-HDF and MTHF Antenna Chromophore Binding in ErCRY4a Suggests a Possible Flavin-Only Cofactor State: Insights from Biochemical and Computational Analyses

Cryptochromes and photolyases are blue-light-sensitive flavoproteins that generally bind flavin adenine dinucleotide (FAD) and have distinct functions. Cryptochrome 4a (CRY4a) is a protein expressed in the double-cone photoreceptors of the retina in migratory songbirds like European robin (Erithacus rubecula) and is hypothesized as the primary sensor for avian magnetoreception. In addition to FAD, most photolyases and some cryptochromes bind antenna chromophores such as 8-hydroxy-5-deazaflavin (8-HDF) or 5,10-methenyltetrahydrofolate (MTHF) to enhance light absorption. Here, we investigated whether Erithacus rubecula Cryptochrome 4a (ErCRY4a) also binds 8-HDF and/or MTHF. 8-HDF binding was studied by co-expressing ErCRY4a with the fbIC gene that encodes for 8-HDF synthase and thus for production of 8-HDF in E. coli. As a positive control for 8-HDF binding, we expressed Xenopus laevis 6-4 photolyase (Xl6-4PL) which is known to bind both FAD and 8-HDF. This experiment resulted in successful binding of 8-HDF to Xl6-4PL, but not to ErCRY4a. We studied the binding of MTHF using in vitro reconstitution followed by UV-Vis spectroscopy and isothermal titration calorimetry (ITC) assays. No interaction was observed between MTHF and ErCRY4a. To theoretically understand the binding of potential antenna chromophores to ErCRY4a, we performed computational analyses. We found no similarity at the relevant binding sites between the sequences of ErCRY4a with proteins shown to bind MTHF or 8-HDF. This suggests that the binding pocket is not conserved. Our study proposes that ErCRY4a only harbor one light-sensitive cofactor, which in turn suggests a functional specialization different from most photolyases.

biochemistry↗

A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis

Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predisposes to hematological diseases. Here, we constructed a comprehensive single-cell transcriptomic atlas comprising 186,123 CD34+ HSPCs spanning early prenatal development (6 post-conception weeks) to late adulthood (74 years). We identified two conserved core molecular programs (MPs) of inflammaging and RNA splicing / protein homeostasis. Leveraging these programs, we developed a machine learning-based stem cell aging clock from 84 donors. Applying this clock to acute myeloid leukemia (AML), we define Transcriptional Age Deviation (TAD), a novel metric of biological age divergence. We found that a biologically "younger" state (low TAD), reflecting oncofetal reprogramming, is a powerful independent predictor of poor survival in two large AML cohorts. Low TAD was associated with high-risk genetics and therapy resistance, and critically, it re-stratified patient outcomes within each ELN 2022 risk category. Our work establishes a quantitative link between stem cell aging biology and AML prognosis, offering a robust tool to refine clinical risk assessment.

bioinformatics↗

Rapid and Quantitative Phage Susceptibility Test by Ramanome

Antimicrobial resistance poses an escalating global threat, renewing interest in bacteriophage therapy as a precision alternative to antibiotics. However, clinical translation remains hindered by the lack of rapid and quantitative phage susceptibility testing (PST) platforms capable of evaluating host range, infection potency, and effective multiplicity of infection (MOI). Here we present RPST, a ramanome-based phenotypic platform that captures infection-induced remodeling of bacterial macromolecular composition to unify these diagnostic requirements within a single workflow. RPST integrates four Raman biomarkers into a Composite Infection Index (CII), enabling rapid and lysis-independent discrimination between susceptible and resistant bacterial populations within [~]1 hour, with 96.0% categorical concordance (24/25) to plaque assays. As a continuous population-level metric, CII quantifies the proportion of infected cells, allowing quantitative ranking of phage potency against shared hosts. By resolving CII trajectories across the MOI and time, RPST further determines the minimal effective MOI, which is the lowest phage-to-bacterium ratio sustaining self-propagating infection, thereby defining the lower boundary for therapeutic feasibility. Together, these capabilities transform PST from static compatibility assays into a dynamic and quantitative framework that bridges in vitro infectivity assessment and infection dynamics relevant to phage therapy. Impact StatementBased on the rapid emergence of antimicrobial resistance, this study introduces RPST, a novel ramanome-based phage susceptibility testing platform. RPST detects phage-induced biochemical remodeling in bacteria within [~]1 hour, achieving 96.0% concordance with gold-standard plaque assays. By integrating four Raman biomarkers into a Composite Infection Index, it not only distinguishes susceptible from resistant strains but also quantifies phage potency and determines the minimal effective multiplicity of infection required for self-sustaining infection. This transformative approach moves beyond binary diagnostics to offer a dynamic, quantitative framework for precision phage therapy, significantly accelerating therapeutic decision-making and enhancing our ability to combat resistant infections.

microbiology↗

A Multi-Organ Single-Cell Atlas Maps Allergen and Organ-Specific Cellular Dynamics in the Progression from Food Allergy to Anaphylactic Shock

The transition from food allergic sensitization to life-threatening anaphylactic shock (AS) with complex multi-organ cellular interactions has been poorly understood. We herein conducted a multi-organ single-cell sequencing of heart, lung, and intestinal tissues from mouse models of food allergy, sensitized to bovine serum albumin (BSA) or ovalbumin (OVA), across both sensitization (Phase I) and anaphylactic shock (Phase II). We found that organ-specific pathologies included cardiac vascular dysfunction with pericyte loss and cardiomyocyte adaptation, distinct lung responses (Th2/B-cell predominance with BSA vs. neutrophilia with OVA), and profound intestinal remodeling featuring Paneth cell expansion. We also identified conserved inflammatory pathways (e.g., NOD-like receptor, NF-{kappa}B, JAK-STAT signaling) and unique organ specific signatures. Notably, phase-dependent reprogramming showed NLRP3 inflammasome activation and suppressed anti-inflammatory responses during AS. Cell-cell communication networks shifted from stromal-immune crosstalk in Phase I to dominant myeloid-vascular/neuroimmune interactions in Phase II. We further linked early extracellular matrix remodeling to late-stage neuromodulatory responses in Schwann and smooth muscle cells. This multi-organ atlas elucidates the coordinated, organ-selective immune cascade driving FA to AS progression, providing a foundational resource for developing targeted therapeutic strategies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/703914v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@19ffd9forg.highwire.dtl.DTLVardef@c3fda3org.highwire.dtl.DTLVardef@141174corg.highwire.dtl.DTLVardef@60ac5b_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language model

Biomedical knowledge graphs encode millions of relationships between drugs, proteins, pathways, and diseases, yet translating this structured knowledge into accurate predictions remains challenging. Existing deep learning approaches, including graph neural networks and knowledge graph embeddings, assign fixed representations to entities regardless of biological context, limiting their ability to capture how the same gene or pathway functions differently across scenarios. These methods also lack interpretability and often fail when applied to novel drugs outside their training distribution. Here we present BEACON (Bridging knowlEdge grAph with CONtextual language model), a framework that transforms knowledge graphs into contextual sentence representations processable by language models. BEACON converts biomedical entities into tokens and relationships into syntactic dependencies, creating "sentence trees" that preserve graph structure while enabling contextual processing. A visibility matrix ensures that attention patterns respect the underlying knowledge graph topology, and a perturbation-based evaluation module identifies the specific genes, enzymes, and pathways driving each prediction. We demonstrate BEACONs versatility through two clinically important applications. For drug sensitivity prediction in cancer cell lines, BEACON achieves 0.941 AUROC and Spearman {rho} = 0.919, outperforming existing methods (DrugCell, DeepCDR and DeepTTA). For drug-drug interaction (DDI) prediction, BEACON achieves 0.964 AUROC on the TwoSIDES benchmark and 0.84 AUROC on temporally held-out FDA adverse event data (2013-2023), demonstrating robust generalization to newly approved drugs. Applying BEACON to the BTK inhibitor acalabrutinib revealed that predicted interactions are enriched for drugs metabolized by CYP3A enzymes (OR = 3.01, P = 4.3 x 10-), a mechanism validated through network proximity analysis. BEACON provides a unified, interpretable approach to knowledge graph-enhanced biomedical prediction.

bioinformatics↗

Prime-InDel version 1: A web tool providing InDel markers for targeted regions narrowing

While high-density SNP genotyping enables genome-wide assays in rice (Oryza sativa L.) and other crops, PCR-based markers--particularly those derived from insertion-deletion (InDel) variations--remain crucial for fine-mapping. Currently, readily available primer information for high-density InDel rice markers is still limited. We present the first version of PrimeInDel (https://rfgb.rmbreeding.cn/search/variation/primeIndel), an online tool integrating three sets of InDel markers: an 8K-set and a 316K-set from the 3K Rice Genomes (3K-RG) project, and a 22K-set compiled from published literatures. In user cases, primers from PrimeInDel proved highly effective, narrowing a cold-tolerance QTL (qSR2) from 2.7 Mb to 200 kb and a heading-date QTL (qDeh1.1) from 239.5 kb to 83.6 kb. Our work provides the community with a robust, PCR-based InDel primer, accessible via an online data set, which will facilitate germplasm genotyping and gene identification in rice breeding.

plant biology↗

A pathogenic AMPA receptor gating mutation disrupts synapse-mitochondrion axis and stalls synapse maturation

AMPA receptors (AMPARs) are central regulators of excitatory synaptic transmission and play critical roles in activity-dependent synapse maturation and circuit development. De novo missense mutations in AMPAR subunits have been widely linked to neurodevelopmental disorders (NDDs). Despite this, how these variants lead to neuronal dysfunction remain poorly understood. Here, we investigate the consequences of a recurrent pathogenic mutation in the GluA1 subunit (GRIA1 p.A636T), which alters AMPAR gating properties and is associated with autism spectrum disorder and intellectual disability. We developed a GluA1A636T knock-in mouse model, we show that GluA1A636T mice exhibit impairments in hippocampal-dependent learning and working memory accompanied by reduced baseline activity of CA1 neurons in vivo. Mass spectrometry-based quantitative proteomic analyses of juvenile and adult hippocampal samples revealed that the A636T mutation significantly alters synaptic protein expression at both ages. Notably, the mutation drives a robust upregulation of mitochondrial proteins specifically in adult mice. Consistent with this, dendritic mitochondria in adult GluA1A636T mice exhibited altered morphology and increased oxidative stress. Electrophysiological analyses further revealed abnormalities in synaptic function, including reduced basal excitatory transmission, persistence of functionally silent synapses in adulthood, and altered synaptic plasticity consistent with impaired synapse maturation. Together, these findings demonstrate that a pathogenic AMPAR gating mutation disrupts the coordinated development of synaptic and metabolic programs in the hippocampus, linking altered excitatory signaling to delayed mitochondrial stress and enduring circuit dysfunction. Our study provides a developmental framework for understanding how disease-associated AMPAR variants impair brain function and highlights synapse-mitochondria coupling as a critical axis in glutamate receptor ionotropic (GRI) disorders.

neuroscience↗

Ultrasensitive, Low-Input Detection of Avocado Sunblotch Viroid via RPA-CRISPR and Nanopore-Array Single-Bead Fluorescence Readout

Rapid and sensitive detection of plant pathogens, such as the Avocado Sunblotch Viroid (ASBVd), is essential for early disease management and agricultural biosecurity. Yet, most current diagnostic methods not only require relatively large sample inputs but also often lack the ultrasensitivity required for reliable detection with scarce or minimally collected plant material. Here, we report a novel low-input but ultrasensitive diagnostic platform that integrates isothermal recombinase polymerase amplification (RPA), CRISPR-Cas12a detection, and a solid-state nanopore array for the detection of ASBVd. The system leverages CRISPR-Cas12a collateral cleavage activity to generate single-bead fluorescent signals, which are captured by a nanopore array through pressure-driven blockage. Our platform achieves a detection limit down to 1.68 copies/L while using only 40 nL of bead-fluorophore mixture per readout, which is over 100-fold less than conventional assays based on fluorescent readout using an imaging reader, enabling detection from minimal avocado sample collection. We demonstrate robust binary classification of ASBVd-positive and -negative samples from multiple avocado tissue types and orchards in California. The assay requires just 60 minutes and operates entirely under isothermal conditions, avoiding the need for bulky PCR instruments and supporting on-site deployment with minimal equipment. This method provides a promising platform for field-deployable, ultrasensitive, and low-input diagnostics of viroids and other low-titer pathogens in plant or clinical settings.

bioengineering↗

MicroRNA regulatory targets of VO2peak in older adult participants of the Study of Muscle Mobility and Aging (SOMMA)

Skeletal muscle aging (sarcopenia) is associated with reduced peak oxygen consumption (VO peak) during exercise, a key determinant of physical function and overall health. However, the molecular mechanisms linking muscle aging to low VO peak remain poorly understood. We aimed to identify miRNA signatures and miRNA-gene regulatory networks associated with VO peak in older adults. Using small RNA and mRNA sequencing, we analyzed skeletal muscle from 72 SOMMA participants (70-79 years old) with low or high VO peak (n = 18/group) and from 36 participants spanning the full VO peak spectrum. Differential expression was assessed using LIMMA, with pathway and network analyses performed using Ingenuity Pathway Analysis (IPA) and Weighted Gene Co-expression Network Analysis (WGCNA). We detected 1,408 miRNAs and 16,210 genes; among these, 14 miRNAs and 2,018 genes were differentially expressed (FDR < 0.05). The 14 miRNAs regulated 142 genes, and expression of 10 miRNAs inversely correlated with 50 genes enriched in mitochondrial, sirtuin-1, and nitric oxide signaling pathways. Regression analyses identified 21 miRNAs and 1,744 genes significantly correlated with VO peak after adjusting for age and sex. WGCNA revealed 10 co-expression modules associated with VO peak, with the cyan module showing the strongest correlation and enrichment for nitric oxide signaling genes. These findings highlight novel miRNA-mediated molecular pathways potentially contributing to low VO peak and skeletal muscle aging in older adults. Future studies will further investigate these miRNA-gene interactions to uncover therapeutic targets for preserving muscle function with age.

molecular biology↗