Evidence map›Paper›PMID 39847474›Full record

ArticleJournal of the International Society of Sports Nutrition2025

Bioinformatic identification of important roles of COL1A1 and TNFRSF12A in cartilage injury and osteoporosis.

Muzi Liu, Shiguo Gong, Xin Sheng, Zihong Zhang, Xichun Wang

Abstract read
In one paragraph

Article in Journal of the International Society of Sports Nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Muzi LiuJiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.
Shiguo GongJiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.
Xin ShengJiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.
Zihong ZhangJiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.
Xichun WangJiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.ORCID 0009-0007-1637-8779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to identify the key regulatory mechanisms of cartilage injury and osteoporosis through bioinformatics methods, and to provide a new theoretical basis and molecular targets for the diagnosis and treatment of the disease.

methodsMicroarray data for cartilage injury (GSE129147) and osteoporosis (GSE230665) were first downloaded from the GEO database. Differential expression analysis was applied to identify genes that were significantly up-or down-regulated in the cartilage injury and osteoporosis samples. These genes were subjected to GO enrichment analysis and KEGG pathway analysis. In addition, we employed SVA and RRA methods to merge the two sets of data, eliminating batch effects and enhancing the statistical power of the analysis. Through WGCNA, we identified gene modules that were closely associated with disease phenotypes and then screened for key genes that intersected with differentially expressed genes. The diagnostic value of these genes as potential biomarkers was evaluated by ROC analysis. Moreover, we performed an immune infiltration analysis to explore the correlation between these core genes and immune cell infiltration.

resultsWe performed GO enrichment analysis and KEGG pathway analysis of genes significantly up-or down-regulated in cartilage injury and osteoporosis samples. Important biological processes, cellular components and molecular functions, and key metabolic or signaling pathways associated with osteoporosis and cartilage injury were identified. Through WGCNA, we identified gene modules that were closely associated with the disease phenotype, from which we then screened for key genes that intersected with differentially expressed genes. Ultimately, we focused on two identified core genes, COL1A1 and TNFRSF12A, and assessed the diagnostic value of these genes as potential biomarkers by ROC analysis. Meanwhile, GSVA provided an in-depth view of the role of these genes in disease-specific biological pathways. Immune infiltration analysis further revealed the possible key role of COL1A1 and TNFRSF12A in regulating immune cell infiltration in osteoporosis and cartilage injury.

conclusionCOL1A1 and TNFRSF12A as key regulatory molecules in osteoporosis and cartilage injury.

Indexed as

CartilageCollagen Type IComputational BiologyOsteoporosisBiomarkersCollagen Type I, alpha 1 ChainGene Regulatory NetworksHumansBiomarkersCOL1A1 protein, humanCollagen Type ICollagen Type I, alpha 1 Chainbioinformaticscartilage injuryGO enrichment analysisKEGG pathway analysisOsteoporosisWGCNA

Identifiers

PMID39847474
PMCPMC11758804

What Socratic holds

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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 Socratic graph.