ArticleInternational journal of molecular sciences2020
Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- The relationship between sarcopenia and related bioindicators and changes after intensive lifestyle intervention in elderly East-China populations.BMC musculoskeletal disorders · 2024Trial
- Effects of exercise training on oxidative phosphorylation-related genes in a diabetic heart via microarray analysis.BMC cardiovascular disorders · 2026Article
- PTM encoding: decoding the mechanisms of exercise-induced metabolic memory through spatiotemporal modification networks.Frontiers in sports and active living · 2026Review
- Regulatory Mechanisms of Yili Horses During an 80 km Race Based on Transcriptomics and Metabolomics Analyses.International journal of molecular sciences · 2025Article
- A primer on global molecular responses to exercise in skeletal muscle: Omics in focus.Journal of sport and health science · 2025Review
- Effects of aging on calcium channels in skeletal muscle.Frontiers in molecular biosciences · 2025Review
- Inflammatory pathway communication with skeletal muscle-Does aging play a role? A topical review of the current evidence.Physiological reports · 2024Review
- Skeletal Muscles of Sedentary and Physically Active Aged People Have Distinctive Genic Extrachromosomal Circular DNA Profiles.International journal of molecular sciences · 2023Article
- Article
- Unveiling genetic variants for age-related sarcopenia by conducting a genome-wide association study on Korean cohorts.Scientific reports · 2022Article
- Skeletal Muscle Transcriptomic Comparison Between Men and Women in Response to Acute Sprint Exercise.Frontiers in genetics · 2022Article
- Non-coding RNA basis of muscle atrophy.Molecular therapy. Nucleic acids · 2021Review
- Editorial for the Special Issue "Molecular Bases of Senescence".International journal of molecular sciences · 2021Article
- Physical activity and exercise in the context of SARS-Cov-2: A perspective from geroscience field.Ageing research reviews · 2021Review
- Non-Coding RNAs in the Transcriptional Network That Differentiates Skeletal Muscles of Sedentary from Long-Term Endurance- and Resistance-Trained Elderly.International journal of molecular sciences · 2021Article
- Article
- Effects of exercise training on the biochemical pathways associated with sarcopenia.Physical activity and nutrition · 2020Article
- Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical exercise is deemed the most efficient way of counteracting the age-related decline of skeletal muscle. Here we report a transcriptional study by next-generation sequencing of vastus lateralis biopsies from elderly with a life-long high-level training practice (
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.