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Van Thienen, R.

Publications and source records attributed to Van Thienen, R..

3 recordsLinked to original sources

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↗

Extensive profiling of histidine-containing dipeptides reveals species-specific distribution and metabolism in mice, rats and humans

Histidine-containing dipeptides (HCDs) are pleiotropic homeostatic molecules linked to inflammatory, metabolic and neurological diseases, as well as exercise performance. Using a sensitive UHPLC-MS/MS approach and an optimized quantification method, we performed a systematic and extensive profiling of HCDs in the mouse, rat, and human body (in n=26, n=25, n=19 tissues, respectively). Our data show that tissue HCD levels are uniquely regulated by carnosine synthase (CARNS1), an enzyme that was preferentially expressed by fast-twitch skeletal muscle fibers and brain oligodendrocytes. Cardiac HCD levels are remarkably low compared to other excitable tissues. Carnosine is unstable in human plasma, but is preferentially transported within red blood cells in humans but not rodents. The low abundant carnosine analog N-acetylcarnosine is the most stable plasma HCD, and is enriched in human skeletal muscles. Here, N-acetylcarnosine is continuously secreted into the circulation, which is further induced by acute exercise in a myokine-like fashion. Collectively, we provide a novel basis to unravel tissue-specific, paracrine, and endocrine roles of HCDs in human health and disease. Significance statementBy extensively profiling the pluripotent histidine-containing dipeptides across three species, we generated many new insights into species- and tissue-specific histidine-containing dipeptide metabolism. For instance, the only stable analog that is specific for the human circulation (N-acetylcarnosine) is continuously released from muscle tissue and is positively regulated by physical exercise. The great number of analyses and experiments involving humans establishes great translational value of the findings. These new data open exciting opportunities to study histidine-containing dipeptide metabolism, including paracrine and/or endocrine signaling of these dipeptides, possibly contributing to the potent health-promoting exercise effects.

physiology↗

Recurrent training rejuvenates and enhances transcriptome and methylome responses in young and older human muscle

BackgroundThe interaction between the muscle methylome and transcriptome is understudied during ageing and periods of resistance training in young, but especially older adults. In addition, more information is needed on the role of retained methylome training adaptations in muscle memory to understand muscle phenotypical and molecular restoration after inactivity or disuse. MethodsWe measured CpG methylation (microarray) and RNA expression (RNA sequencing) in young (n = 5; age = 22 {+/-} 2 yrs) and older (n = 6; age = 65 {+/-} 5 yrs) vastus lateralis muscle samples, taken at baseline, after 12 weeks of resistance training, after training interruption (2 weeks of leg immobilization in young men, 12 weeks of detraining in older men) and after 12 weeks of retraining to identify muscle memory-related adaptations and rejuvenating effects of training. ResultsWe report that of the 427 differentially expressed genes with advanced age, 71 % contained differentially methylated (dm)CpGs in older versus young muscle. The more dmCpGs within a gene, the clearer the inverse methylation-expression relationship. Around 73 % of the age-related dmCpGs approached younger methylation levels when older muscle was trained for 12 weeks. A second resistance training period after training cessation increased the number of hypomethylated CpGs and upregulated genes in both young and older muscle. We found indication for an epi-memory within pro-proliferating AMOTL1 in young muscle and mechanosensing-related VCL in older muscle. For the first time, we integrate muscle methylome and transcriptome data in relation to both ageing and training/inactivity-induced responses and identify focal adhesion as an important pathway herein. ConclusionPreviously trained muscle is more responsive to training than untrained muscle at methylome and transcriptome level and recurrent resistance training can partially restore ageing-induced methylome alterations.

genomics↗