ArticleBMC biology2005
Modulation of extracellular matrix genes reflects the magnitude of physiological adaptation to aerobic exercise training in humans.
Article in BMC biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.
- The effects of aerobic exercise on 24-hour mean blood glucose levels measured by continuous glucose monitoring in type 2 diabetes: a meta-analysis.Frontiers in physiology · 2024Pooled it
- Transcriptomic adaptation during skeletal muscle habituation to eccentric or concentric exercise training.Scientific reports · 2021Trial
- Impact of protein supplementation during endurance training on changes in skeletal muscle transcriptome.BMC genomics · 2020Trial
- Multi-omic integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in Type 2 diabetic obesity.Physiological genomics · 2014Trial
- Treating age-related loss of muscle mass and function: Where should we be focusing?The Journal of physiology · 2026Review
- Integrative bioinformatic analysis identifies an extracellular matrix gene signature linked to muscle adaptation to endurance and resistance training.Physiological reports · 2026Article
- A primer on global molecular responses to exercise in skeletal muscle: Omics in focus.Journal of sport and health science · 2025Review
- Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling.bioRxiv : the preprint server for biology · 2024Article
- Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling.NAR molecular medicine · 2024Article
- Matrisome proteomics reveals novel mediators of muscle remodeling with aerobic exercise training.Matrix biology plus · 2024Article
- Impacts of different triathlon races on systemic cytokine profile and metabolic parameters in healthy individuals: a systematic review.BMC sports science, medicine & rehabilitation · 2023Article
- Exercise, exerkines, and cardiometabolic health: from individual players to a team sport.The Journal of clinical investigation · 2023Review
- Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq.Advanced genetics (Hoboken, N.J.) · 2023Review
- A glitch in the matrix: the pivotal role for extracellular matrix remodeling during muscle hypertrophy.American journal of physiology. Cell physiology · 2022Review
- Mitochondrial mutations alter endurance exercise response and determinants in mice.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Article
- The jam session between muscle stem cells and the extracellular matrix in the tissue microenvironment.NPJ Regenerative medicine · 2022Review
- Endurance exercise training-responsive miR-19b-3p improves skeletal muscle glucose metabolism.Nature communications · 2021Article
- A Systematic Review Examining the Approaches Used to Estimate Interindividual Differences in Trainability and Classify Individual Responses to Exercise Training.Frontiers in physiology · 2021Review
- Nucleus Type-Specific DNA Methylomics Reveals Epigenetic "Memory" of Prior Adaptation in Skeletal Muscle.Function (Oxford, England) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRegular exercise reduces cardiovascular and metabolic disease partly through improved aerobic fitness. The determinants of exercise-induced gains in aerobic fitness in humans are not known. We have demonstrated that over 500 genes are activated in response to endurance-exercise training, including modulation of muscle extracellular matrix (ECM) genes. Real-time quantitative PCR, which is essential for the characterization of lower abundance genes, was used to examine 15 ECM genes potentially relevant for endurance-exercise adaptation. Twenty-four sedentary male subjects undertook six weeks of high-intensity aerobic cycle training with muscle biopsies being obtained both before and 24 h after training. Subjects were ranked based on improvement in aerobic fitness, and two cohorts were formed (n = 8 per group): the high-responder group (HRG; peak rate of oxygen consumption increased by +0.71 +/- 0.1 L min(-1); p < 0.0001) while the low-responder group (LRG; peak rate of oxygen consumption did not change, +0.17 +/- 0.1 L min(-1), ns). ECM genes profiled included the angiopoietin 1 and related genes (angiopoietin 2, tyrosine kinase with immunoglobulin-like and EGF-like domains 1 (TIE1) and 2 (TIE2), vascular endothelial growth factor (VEGF) and related receptors (VEGF receptor 1, VEGF receptor 2 and neuropilin-1), thrombospondin-4, alpha2-macroglobulin and transforming growth factor beta2.
resultsneuropilin-1 (800%; p < 0.001) and VEGF receptor 2 (300%; p < 0.01) transcript abundance increased only in the HRG, whereas levels of VEGF receptor 1 mRNA actually declined in the LRG (p < 0.05). TIE1 and TIE2 mRNA levels were unaltered in the LRG, whereas transcription levels of both genes were increased by 2.5-fold in the HRG (p < 0.01). Levels of thrombospondin-4 (900%; p < 0.001) and alpha2-macroglobulin (300%, p < 0.05) mRNA increased substantially in the HRG. In contrast, the amount of transforming growth factor beta2 transcript increased only in the HRG (330%; p < 0.01), whereas it remained unchanged in the LRG (-80%).
conclusionWe demonstrate for the first time that aerobic training activates angiopoietin 1 and TIE2 genes in human muscle, but only when aerobic capacity adapts to exercise-training. The fourfold-greater increase in aerobic fitness and markedly differing gene expression profile in the HRG indicates that these ECM genes may be critical for physiological adaptation to exercise in humans. In addition, we show that, without careful demonstration of physiological adaptation, conclusions derived from gene expression profiling of human skeletal muscle following exercise may be of limited value. We propose that future studies should (a) investigate the mechanisms that underlie the apparent link between physiological adaptation and gene expression and (b) use the genes profiled in this paper as candidates for population genetic studies.
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