ArticleScientific reports2024
Effect of acute exercise on gene expression in peripheral blood mononuclear cells of puberty children.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- Home-based high-intensity exercise training during neoadjuvant chemotherapy is associated with favorable chemotherapy outcomes and tumor microenvironment remodeling in breast cancer.Cell communication and signaling : CCS · 2026Trial
- Exploring Chronic Pain, Immune Dysfunction and Lifestyle: A Focus on T Cell Exhaustion and Senescence.Biomolecules · 2025Review
- Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis.Journal of translational medicine · 2025Article
- CAT and CXCL8 are crucial cofactors for the progression of nonalcoholic steatohepatitis to hepatocellular carcinoma, the immune infiltration and prognosis of hepatocellular carcinoma.Discover oncology · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies have shown that acute exercise alters the expression of circulating neutrophil and peripheral blood mononuclear cell (PBMC) genes, affecting a wide range of processes from cellular growth to the promotion of inflammatory and anti-inflammatory responses. In this study, we identified differential gene expression associated with acute exercise and PBMC in puberty children through the GEO database. We utilized bioinformatics technology to analyze the impact of acute exercise on PBMC and identified key genes involving the puberty children. Combining two datasets of gene expression, we identified 197 shared differentially expressed genes (DEGs) in PBMC before and after exercise. We conducted pathway analysis of these DEGs and built a gene co-expression network. The identification of hub genes was achieved through the utilization of protein-protein interaction (PPI) networks. 268 shared DEGs were identified in the GSE11761 dataset in pre- and post-exercise groups, while 352 differential genes were identified between the pre- and post-exercise groups of females in the GSE14642 dataset. A total of 197 shared genes were identified between the two datasets. Seven core genes were identified by MCODE and CytoHubba, namely IL2RB, KLRD1, GZMB, TBX21, PRF1, HAVCR2, and GZMA. Bioinformatics techniques are effective in screening and analyzing PBMC-associated DEGs in children undergoing acute pre- and post-exercise puberty. Microarray analysis of PBMCs in children undergoing puberty can identify molecules that may predict acute exercise responses. This study provides insights for further exploration of the mechanisms and targets of acute exercise on the organism.
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