Hibernating brown bears, due to a drastic reduction in metabolic rate, show only moderate muscle wasting. Here, we evaluate if ATPase activity of resting skeletal muscle myosin can contribute to this energy sparing. By analyzing single muscle fibers taken from the same bears, either during hibernation or in summer, we find that fibers from hibernating bears have a mild decline in force production and a significant reduction in ATPase activity. Single fiber proteomics, western blotting, and immunohistochemical analyses reveal major remodeling of the mitochondrial proteome during hibernation. Furthermore, using bioinformatical approaches and western blotting we find that phosphorylated myosin light chain, a known stimulator of basal myosin ATPase activity, is decreased in hibernating and disused muscles. These results suggest that skeletal muscle limits energy loss by reducing myosin ATPase activity, indicating a possible role for myosin ATPase activity modulation in multiple muscle wasting conditions.

Myosin is the primary motor protein in skeletal muscle, responsible for adenosine triphosphate (ATP) hydrolysis that drives muscle contraction. In addition to force production, resting myosin consumes ATP in futile cycles at two rates, the slower one being associated with the Super Relaxed State (SRX), in contrast to the less inhibited Disordered Relaxed State (DRX). The SRX is typically measured using the mantATP chasing technique, where the decay of a fluorescent ATP analogue is fitted using a multiexponential function. Recently, significant concerns have been raised regarding the use of this technique, particularly when applied to soluble myosin preparations. While skinned fibers offer the advantage of preserving the native thick filament structure and myosin cooperativity, limited diffusion and nonspecific mantATP binding pose challenges. In this study, we combine experimental data and in-silico modeling to dissect the contributions of different components in the mantATP chasing signal. We analyze control skinned fibers and fibers subjected to myosin extraction. Our analysis shows that the nonspecific component partially overlaps with the DRX timescale. In contrast, the slow component linked to myosin SRX nucleotide release is characterized by a time constant that significantly differs from those of the nonspecific signal and DRX, enabling its reliable estimation using this technique. Our findings indicate that evaluating nonspecific mantATP components is necessary to obtain a reliable estimation of both SRX and DRX. We validated our analysis by comparing populations and time constants obtained from chasing with mantATP to mantATPase rates in control conditions and upon piperine-induced SRX destabilization.

Articular cartilage (AC) is a specialised connective tissue covering joint surfaces. It enables smooth movement, distributes mechanical loads, and protects the underlying bone. In response to loading, AC adapts by modifying both its thickness and composition. AC is organised in different zones, with low cellularity and a high abundance of extracellular matrix (ECM). Mechanical overloading or immobilisation can lead to structural changes, potentially resulting in osteoarthritis (OA), for which no causal treatment currently exists. However, smaller defects can be treated using chondrocyte/cartilage transplantation or tissue engineering. A better understanding of the molecular composition of AC at different locations is essential to improve such therapeutic approaches. For this purpose, we performed a comprehensive analysis of porcine femoral knee cartilage at eight defined anatomical sites. Cartilage thickness and proteoglycan (PG) content were analysed histologically, while specific ECM proteins were assessed by proteomics and validated by immunohistochemistry and Western blot. Significant differences were identified, particularly between medial and lateral compartments, in terms of cartilage thickness, PG abundance, and ECM composition. Some proteins also showed zone-specific localisation patterns. These structural differences likely reflect adaptation to mechanical loading and should be considered to optimise future cartilage repair and tissue engineering strategies.

Fibroblast-like synoviocytes (FLS) are key cells promoting cartilage damage and bone loss in rheumatoid arthritis (RA). They are activated to assume an invasive and migratory phenotype. While mechanisms of FLS activation are unknown, evidence suggests that pre-damaged extracellular matrix (ECM) of the cartilage can trigger FLS activation. Integrin α11β1 might be involved in the activation, as it is increased in RA patients and hTNFtg mice, an RA mouse model. We treated murine chondrocytes with TNFα to produce a damaged, RA-like matrix. Comparison to healthy chondrocyte matrix revealed decreased ECM proteins, e.g. collagens and proteoglycans, increased matrix-degrading proteins and elevated levels of inflammatory cytokines. FLS responded to the damaged chondrocyte matrix with a matrix-remodeling and pro-inflammatory phenotype characterized by a gene signature involved in matrix degradation and increased production of CLL11 and CCL19. Damaged chondrocyte matrix stimulated increased Itga11 expression in FLS, correlating with the increased α11β1 amounts in RA patients. FLS deficient in integrin α11β1 released lower amounts of inflammation-associated cytokines. Our results demonstrate differences in healthy and RA-like chondrocyte ECM and distinctly different responses of wt FLS to damaged versus healthy ECM.

Plasma proteomics based on mass spectrometry has great potential for biomarker discovery. Plasma is challenging for mass spectrometry due to high dynamic range in protein abundance. Several workflows have been developed to overcome this, and in this study, we compare prominent workflows using platelet-poor- (PPP), platelet-rich plasma (PRP) and serum (SER). Our results show that depletion workflows including Top14 depletion and acid precipitation allow quantification of very different proteomes than methods based on enrichments of extracellular vesicles such as bead-based enrichment or ultracentrifugation. Enrichment methods are superior in terms of proteome depth and quantitative performance but may be less robust in large cohorts. There is a very high correlation between PPP and PRP samples with all methods and less to SER samples - especially with enrichment workflows.The correlation of 10 protein measurements, performed by clinical routine processes on a Cobas system, showed heterogeneous results. Low abundant proteins with biological dynamics within a healthy cohort, including c-reactive protein and lipoprotein(a), correlated very well to proteomic workflows while others, including albumin and transferrin, correlated poorly. In conclusion, the workflow for plasma proteomics should be aligned with the aim of the analysis and the setup of the sample collection.

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