Biology subjects

Moreno-Justicia, R.

Publications and source records attributed to Moreno-Justicia, R..

7 recordsLinked to original sources

bioRxiv2026

Integrated Single-Fiber Multi-Omics Links an Inflammatory-Associated Myofiber State to Altered Myosin Dynamics in Patients with ICU-acquired weakness

Skeletal muscle dysfunction is a pervasive complication of critical illness that worsens survival and recovery, yet remains poorly explained by current clinical or molecular markers. To directly connect disease-associated molecular states to the contractile machinery, this study combined sequential functional, transcriptomic, and proteomic profiling of the same single human skeletal myofibers from critically ill patients in the intensive care unit with acquired weakness (ICU-AW) and controls. Despite marked donor-level heterogeneity, integrated analysis revealed a subtle yet conserved myofiber state enriched in ICU-AW, characterized by inflammatory and chemotactic gene programs, intracellular structural remodeling, and bioenergetic adaptation. Nineteen features were significantly altered at both RNA and protein levels from the same myofiber, linking an inflammatory transcriptional landscape to a proteomic shift toward mitochondrial and translational machinery and away from membrane-associated signaling. Functionally, fibers in this state displayed selectively disrupted myosin dynamics, evidenced by prolonged ATP turnover time of myosin heads in their super-relaxed conformation, implicating altered myosin energetics as a contributor to muscle dysfunction. These findings define a discrete, disease-associated myofiber state and establish an integrative single-fiber framework for connecting multi-omic heterogeneity to molecular motor function in complex human disease. Graphical AbstractSingle-fiber multi-omic and functional analysis reveals a stress-adapted myofiber state in ICU-AW. Specifically, for the present study, myofibers from ICU-AW donors and control donors were isolated and functionally profiled for myosin dynamics before being split for simultaneous transcriptomic and proteomic analysis. Integrated analysis then identified a reproducible fiber phenotype enriched in ICU-AW, characterized by inflammatory transcriptional signatures coordinated with mitochondrial proteomic remodeling and altered myosin super-relaxed state energetics. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/706099v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@95715forg.highwire.dtl.DTLVardef@1462ff8org.highwire.dtl.DTLVardef@f74996org.highwire.dtl.DTLVardef@10055ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2025

Deconvoluting fiber type proportions from human skeletal muscle transcriptomics and proteomics data using FibeRtypeR

Muscle fibers are the dominant, multinucleated cell type in skeletal muscle. In humans, they can be classified as slow (type 1) and fast (type 2) fibers, traditionally based on distinct properties of their contractile machinery. Slow and fast fibers are characterized by shared and specific cellular complexities that are pivotal for their adaptive capacity to exercise or role in metabolic disease progression. In this era of omics research, there is a critical need to accurately infer muscle fiber type proportions from bulk tissue omics datasets, as single-fiber approaches are not feasible in large-scale or retrospective studies. Here we present FibeRtypeR, an easy-to-use web application to accurately estimate fiber type proportions from bulk transcriptomics and proteomics datasets: https://muscleapps.ugent.be. FibeRtypeR exploits transcriptomics and proteomics profiles of 1000 fiber-typed individual human skeletal muscle fibers as a reference dataset and is validated against paired immunohistochemical fiber type determinations in 160 muscle biopsies. We show that FibeRtypeR can be applied to public datasets, illustrating the application potential across a wide range of biological contexts such as aging, disease and exercise training. This new freely accessible computational tool will prove valuable to the skeletal muscle research community. Key pointsO_LIBulk muscle omics datasets lack fiber type specific information C_LIO_LIOur new tool, FibeRtypeR, leverages in-house collected single-fiber profiles allowing for accurate fiber type inference C_LIO_LIFibeRtypeR is methodologically robust across omics technologies and workflows C_LIO_LIWe host FibeRtypeR as an intuitive open-access Shiny app, applicable to new and publicly available transcriptomics and proteomics datasets C_LI

physiology↗

bioRxiv2025

Body Fluid Proteomic Landscape of Acute Exercise

Physical activity improves health, yet the molecular mechanisms remain partially understood. This study presents a high-resolution, time-resolved atlas profiling 10,127 proteins across plasma, saliva, and urine from healthy adults post-acute exercise. Exercise regulated over 3,000 proteins, revealing distinct, fluid-specific temporal dynamics. By integrating fluid-specific exercise signatures with tissue and disease atlases, we delineated the contribution of tissues and associations to various diseases. Network analysis across body fluids elucidated coordinated remodeling in the extracellular matrix and immune activation orchestrating exercise-induced networks. Many exercise-responsive plasma proteins were robust across age, sex, and exercise modalities, indicating a conserved systemic signature. Integration with genetic data established exercise-regulated proteins as modulators of metabolic traits and identified over 200 targeted by approved drugs, highlighting their impact on disease-relevant pathways. This comprehensive atlas, available as an open-access resource https://cbmr.ku.dk/research/research-groups/deshmukh-group/shiny-apps/, advances our molecular insight into exercise adaptations and enables exerkine discovery, biomarker development, and pharmacological exercise-mimetic strategies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/656705v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@bf3baforg.highwire.dtl.DTLVardef@e79b11org.highwire.dtl.DTLVardef@1757b9borg.highwire.dtl.DTLVardef@5fddc_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIExercise induces robust and distinct changes across body fluid proteomes C_LIO_LITissue remodeling and immune activation drive exercise-induced network expansion C_LIO_LI[~]1,000 exercise-regulated plasma proteins are age, exercise mode, or sex-specific C_LIO_LIGenetic inference identifies druggable exerkines that regulate health and disease C_LI

physiology↗

bioRxiv2024

Muscle fiber proteomics reveals sex- and fiber type-specific adaptations to resistance training

Skeletal muscle hypertrophy is a hallmark of resistance training that positively impacts health and longevity. However, despite physiological differences between sexes and fiber types, the underlying proteome changes with resistance training have not been studied in a sex- and fiber type-specific manner. Herein, we show sex differences in the fiber type-specific proteome, predominantly in type II fibers. Following 8 weeks of resistance training, substantial remodeling of the human skeletal muscle proteome occurred in a sex- and fiber type-specific manner. Notably, type II fibers exhibited much greater adaptations across both sexes, whereas the main sex-difference was a greater remodeling of intermediate filaments in females. In addition, baseline abundance of proteins involved in translation was highly correlated with fiber hypertrophy, and differed between sexes and fiber types. Thus, translational capacity may partially explain differences in resistance training-induced hypertrophy. Our findings demonstrate key aspects of sex- and fiber type differences in muscle physiology and their contributions to resistance training-induced adaptions.

physiology↗

bioRxiv2024

Dysregulated Skeletal Muscle Myosin Super-relaxation in Type II, but Not Type I, Diabetes Mellitus

Disrupted energy balance is critical for the onset and development of Type II diabetes. The exact underlying metabolic mechanisms remain incomplete but skeletal muscle is thought to play an important pathogenic role. As the super-relaxed state of its most abundant protein, myosin, regulates cellular energetics, here, we aimed to investigate whether it is altered in patients with type II diabetes. For that, we used vastus lateralis biopsy specimens (obtained from patients with type II diabetes and matched controls) and run a combination of structural and functional assays consisting of loaded Mant-ATP chase experiments, X-ray diffraction and LC-MS/MS proteomics in isolated muscle fibres. Our studies revealed a greater muscle myosin super-relaxation and decreased cellular ATP demand in patients than controls. Subsequent proteomic analyses indicated that these (mal)adaptations likely originated from remodeled sarcomeric proteins and greater myosin glycation levels in patients than controls. Overall, our findings emphasize a complex molecular dysregulation of myosin super-relaxed state and energy consumption in type II diabetes. Ultimately, pharmacological targeting of myosin could benefit skeletal muscle and whole-body metabolic health through the enhancement of ATP consumption. Significance StatementMyosin super-relaxation, essential for the regulation of skeletal muscle metabolic rate, is disrupted in type II diabetes due to protein hyper-glycation. As a consequence, myosin ATP demand is significantly lowered. Overall, our findings provide a strong rationale for the use of activators of myosin ATPase to enhance basal energy expenditure in type II diabetes.

cell biology↗

bioRxiv2023

Beyond Myosin Heavy Chains: Ribosomal Specialization Drives Human Skeletal Muscle Fiber Heterogeneity

Skeletal muscle is an inherently heterogenous tissue comprised primarily of myofibers, which are historically classified into three distinct fiber types in humans: one "slow" (type 1) and two "fast" (type 2A and type 2X), delineated by the expression of myosin heavy chain isoforms (MYHs). However, heterogeneity between and within traditional fiber types remains underexplored. Indeed, whether MYHs are the main classifiers of skeletal muscle fibers has not been examined in an unbiased manner. Through the development and application of novel transcriptomic and proteomic workflows, applied to 1050 and 1038 single muscle fibers from human vastus lateralis, respectively, we show that MYHs are not the only principal drivers of skeletal muscle fiber heterogeneity. Instead, metabolic, ribosomal, and cell junction proteins are a source of multi-dimensional variation between skeletal muscle fibers. Furthermore, whilst slow and fast fiber clusters can be identified, described by their contractile and metabolic profiles, our data suggests that type 2X fibers are not phenotypically distinct to other fast fibers at an omics level. Moreover, MYH-based classifications do not adequately describe the phenotype of skeletal muscle fibers in one of the most common genetic muscle diseases, nemaline myopathy, with fibers shifting towards a non-oxidative phenotype independently of MYH-based fiber type. We also characterize novel transcriptomic and proteomic features of slow and fast skeletal muscle fibers, including identifying several muscle fiber type-specific polypeptides, termed microproteins, encoded by transcripts annotated as non-coding RNA. Overall, our data indicates that skeletal muscle fiber heterogeneity is multi-dimensional with sources of variation beyond myosin heavy chain isoforms.

physiology↗

bioRxiv2019

Mass-spectrometry based proteomics reveals mitochondrial supercomplexome plasticity

Mitochondrial respiratory complex subunits assemble in supercomplexes. Studies of supercomplexes have typically relied upon antibody-based protein quantification, often limited to the analysis of a single subunit per respiratory complex. To provide a deeper insight into mitochondrial and supercomplex plasticity, we combined Blue Native Polyacrylamide Gel Electrophoresis (BN-PAGE) and mass spectrometry to determine the supercomplexome of skeletal muscle from sedentary and exercise-trained mice. We quantified 422 mitochondrial proteins within ten supercomplex bands, in which we showed the debated presence of complex II and V. Upon exercise-induced mitochondrial biogenesis, non-stoichiometric changes in subunits and incorporation into supercomplexes was apparent. We uncovered the dynamics of supercomplex-related assembly proteins and mtDNA-encoded subunits within supercomplexes, as well as the complexes of ubiquinone biosynthesis enzymes and Lactb, a mitochondrial-localized protein implicated in obesity. Our approach can be applied to broad biological systems. In this instance, comprehensively analyzing respiratory supercomplexes illuminates previously undetectable complexity in mitochondrial plasticity. HighlightsO_LIComprehensive quantification of respiratory subunits within supercomplexes C_LIO_LIComplex II and V assemble within supercomplexes C_LIO_LIMitochondrial-encoded subunits display elevated upregulation upon exercise training C_LIO_LIExercise increases ubiquinone biosynthesis enzyme complexes C_LI

molecular biology↗