Atul S. Deshmukh

The paper examines sex- and fiber type-specific proteome changes in human skeletal muscle after resistance training, finding greater adaptations in type II fibers and sex differences in intermediate filament remodeling.

This study identifies an inflammatory myofiber state in ICU-acquired weakness linked to altered myosin dynamics through integrated single-fiber multi-omics analysis.

This study shows that increasing Cathepsin B in skeletal muscle of Alzheimer's mice improves memory and neurogenesis without affecting plaque pathology.

This paper introduces FibeRtypeR, a tool to estimate muscle fiber type proportions from bulk transcriptomics and proteomics data using single-fiber reference profiles.

This study identifies how running-induced energy compensation occurs through metabolic and molecular mechanisms involving leptin, hypothalamic neurons, and Neuropeptide Y in young mice.

This study maps the proteomic changes in plasma, saliva, and urine after acute exercise, identifying over 3,000 regulated proteins and their associations with disease and drug targets.

This paper introduces SMPFO, a method combining fluorescence assays and proteome profiling to study skeletal muscle, revealing reduced myofiber subtype divergence in nemaline myopathy.

This study investigates altered myosin super-relaxation and energy metabolism in type II diabetes using muscle biopsies and proteomic analyses, finding increased super-relaxation and reduced ATP demand.

This study integrates multi-OMIC data from 12 cohorts to identify exercise-specific molecular signatures and gene regulatory patterns in human skeletal muscle.

The paper uses proteomics to identify personalized signatures of insulin resistance and type 2 diabetes, showing that fasting proteome and phosphoproteome predict insulin sensitivity and reveal sex-specific differences.

The paper uses mass spectrometry to analyze mitochondrial supercomplexes in mice, revealing dynamic changes in subunit composition and new protein associations during exercise training.