Biology subjects

Bamman, M.

Publications and source records attributed to Bamman, M..

3 recordsLinked to original sources

bioRxiv2026

Spatial Transcriptomics Identifies Muscle Inflammation Susceptibility as a Distinct Periarticular Skeletal Muscle Phenotype in End-Stage Knee Osteoarthritis

Skeletal muscle dysfunction is a major contributor to disability and incomplete functional recovery in patients with end-stage knee osteoarthritis (KOA), yet the spatial components of disease-associated molecular remodeling remain poorly understood. Here, we applied spatial transcriptomics to paired skeletal muscle biopsies obtained from the surgical (Sx) and contralateral (Ct) limbs of individuals undergoing total knee arthroplasty (TKA) to define the cellular architecture of periarticular muscle and determine how muscle inflammation susceptibility (MuIS) shapes local transcriptional programs. Integrated analysis of 27,087 spots obtained from 22 muscle histological cross-sections (11 Sx-Ct pairs) revealed seven spatially resolved transcriptional domains corresponding to slow and fast myofiber states, an extracellular matrix/fibroadipogenic-enriched domain, a pericyte/smooth muscle domain, and a satellite cell/myogenic-enriched domain. Despite advanced unilateral disease, the major annotated cellular compartments were similarly represented between Sx and Ct limbs. KOA-associated remodeling was reflected primarily by within-cluster transcriptional changes, with the most informative differences observed in fibroadipogenic, pericyte/smooth muscle, and satellite/myogenic domains. Within Sx, MuIS stratification identified a coordinated transcriptional program characterized by denervation- and regeneration-associated genes and altered contractile and metabolic features. Neighborhood analysis localized denervation-associated signals primarily to fast-myofiber-rich regions, while local adjacency patterns among the examined myofiber, fibroadipogenic, and pericyte/smooth muscle domains were broadly preserved. Our findings provide the first spatial transcriptomic analysis of periarticular skeletal muscle in end-stage KOA and identify MuIS as a distinct local transcriptional phenotype in diseased muscle.

physiology↗

bioRxiv2025

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↗

bioRxiv2024

Serum metabolomics signatures after an acute bout of combined traditional or high-intensity tactical training in young males and females

Exercise is a multipotent stimulus that results in large-scale dynamic changes to the systemic molecular profile. Alternative exercise prescriptions and doses would be expected to result in distinct signatures due to differences in duration and intensity. We tested two novel combined endurance and resistance exercise regimens to better understand how differing prescriptions alter the acute metabolomics response at multiple timepoints up to 24h post-exercise. Serum metabolomics for n=37 untrained individuals was analyzed for participants completing traditional combined exercise [TRAD; n = 20 (11M/9F)] or high-intensity tactical training [HITT; n= 17 (8M/9F)] before exercise (pre), and immediately (h0), 3 and 24 h post-exercise (h3 and h24, respectively). We found minimal metabolites had a group by time interaction (2 with FDR < 0.10; 31 with nominal p < 0.05;), but both stimuli resulted in large-scale within-group changes to the circulating metabolome. TRAD consistently had greater numbers of differentially abundant metabolites (FDR < 0.10) as compared to HITT at h0 (431 vs. 333), h3 (435 vs. 331) and h24 (168 vs. 76). The major metabolite classes altered were related to key energy substrates for both groups at h0 (e.g., glucose, pyruvate) and energy replenishment for h3 and h24 (e.g., 12,13 diHOME, palmitoylcarnitine, free fatty acids). In summary, our data are the first to describe the acute changes in the circulating metabolome following combined endurance and resistance exercise. Additionally, we show the two distinct doses of combined exercise led to generally similar patterns of responses, with the longer duration TRAD dose resulting in a higher magnitude of change.

physiology↗