ArticlePeerJ2018
Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Molecular insight into transcriptome profiling of aerobic exercise induced changes in aged skeletal muscle.npj aging · 2026Article
- Assessing the influence of TP53 polymorphisms and haplotypes on bioelectrical impedance analysis parameters and nutritional status in aging Iranian population.Molecular biology reports · 2025Article
- Multi-trait Genome-Wide Analysis Identified 20 Novel Loci for Sarcopenia-Related Traits in UK Biobank.Calcified tissue international · 2025Article
- Article
- Past, present and future trends of sarcopenia research in endocrinology & metabolism research institute:a scientometric study.Journal of diabetes and metabolic disorders · 2024Article
- Article
- Bibliometric and scientometric analysis on biomarkers and molecular mechanisms for physical frailty and sarcopenia.Frontiers in medicine · 2024Article
- Importance of TP53 codon 72 and intron 3 duplication 16 bp polymorphisms and their haplotypes in susceptibility to sarcopenia in Iranian older adults.BMC geriatrics · 2022Article
- CUL3 and COPS5 Related to the Ubiquitin-Proteasome Pathway Are Potential Genes for Muscle Atrophy in Mice.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Article
- The association between TP53 rs1625895 polymorphism and the risk of sarcopenic obesity in Iranian older adults: a case-control study.BMC musculoskeletal disorders · 2021Article
- Altered mRNA and lncRNA expression profiles in the striated muscle complex of anorectal malformation rats.Pediatric surgery international · 2020Article
- CXCL5-CXCR2 signaling is a senescence-associated secretory phenotype in preimplantation embryos.Aging cell · 2020Article
- Article
- The Effects of Calcium-Oxidative medicine and cellular longevity · 2020Article
- Sarcopenia disease in Iran: an overview.Journal of diabetes and metabolic disorders · 2019Review
- Age-Related DNA Methylation Changes: Potential Impact on Skeletal Muscle Aging in Humans.Frontiers in physiology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sarcopenia is an age-related disease characterized by the loss of muscle mass and muscle function. A proper understanding of its pathogenesis and mechanisms may lead to new strategies for diagnosis and treatment of the disease. This study aims to discover the underlying genes, proteins, and pathways associated with sarcopenia in both genders. Integrated analysis of microarray datasets has been performed to identify differentially expressed genes (DEGs) between old and young skeletal muscles. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were then performed to uncover the functions of the DEGs. Moreover, a protein-protein interaction (PPI) network was constructed based on the DEGs. We have identified 41,715 DEGs, including 19 downregulated and 41,696 upregulated ones, in men. Among women, 3,015 DEGs have been found, with 2,874 of them being upregulated and 141 downregulated genes. Among the top up-regulated and downregulated genes, the ribosome biogenesis genes and genes involved in lipid storage may be closely related to aging muscles in men and women respectively. Also, the DEGs were enriched in the pathways including those of ribosome and Peroxisome proliferator-activated receptor (PPAR) in men and women, respectively. In the PPI network, Neurotrophic Receptor Tyrosine Kinase 1 (NTRK1), Cullin 3 (CUL3) and P53 have been identified as significant hub proteins in both genders. Using the integrated analysis of multiple gene expression profiles, we propose that the ribosome biogenesis genes and those involved in lipid storage would be promising markers for sarcopenia in men and women, respectively. In the reconstructed PPI network, neurotrophic factors expressed in skeletal muscle are essential for motoneuron survival and muscle fiber innervation during development. Cullin E3 ubiquitin ligase (Cul3) is an important component of the ubiquitin-proteasome system-it regulates the proteolysis. P53 is recognized as a central regulator of the cell cycle and apoptosis. These proteins, which have been identified as the most significant hubs, may be involved in aging muscle and sarcopenia.
Indexed as
Identifiers
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.