Evidence map›Paper›PMID 39608795›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2024

[Ferroptosis-related genes in osteoporosis: a bioinformatics analysis and

Yushuang Xia, Bo Wang, Pengfei Pan, Xiangshun Ren, Lixi Gao, Jian Xiong, Yan Ma

Abstract readEnglish Abstract
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Yushuang XiaThe First Clinical College of Hubei University of Chinese Medicine, Wuhan 430061, China. 2559114291@qq.com.
Bo WangRehabilitation Medicine Center, Wuhan First Municipal Hospital Affiliated to Hubei University of Chinese Medicine, Wuhan 430022, China.
Pengfei PanThe First Clinical College of Hubei University of Chinese Medicine, Wuhan 430061, China.
Xiangshun RenRehabilitation Medicine Center, Wuhan First Municipal Hospital Affiliated to Hubei University of Chinese Medicine, Wuhan 430022, China.
Lixi GaoRehabilitation Medicine Center, Wuhan First Municipal Hospital Affiliated to Hubei University of Chinese Medicine, Wuhan 430022, China.
Jian XiongRehabilitation Medicine Center, Wuhan First Municipal Hospital Affiliated to Hubei University of Chinese Medicine, Wuhan 430022, China.
Yan MaRehabilitation Medicine Center, Wuhan First Municipal Hospital Affiliated to Hubei University of Chinese Medicine, Wuhan 430022, China. 1203135093@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore ferroptosis-related genes in osteoporosis through bioinformatic analysis and

methodsOsteoporosis-related genes were identified from dataset GSE35958 in the Gene Expression Omnibus database; and the ferroptosis-related genes were identified from the FerrDb database. These were intersected with the differentially expressed genes in GSE35958 to obtain ferroptosis-related genes in osteoporosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the differentially expressed genes. And Spearman correlation and protein-protein interaction network analysis were performed. Then, the hub genes of ferroptosis in osteoporosis were screened by Degree, MNC, EPC, MCC and DMNC in Cytoscape software CytoHubba plugin; and analyzed with receiver operating characteristic (ROC) curves. The bone marrow mesenchymal stem cells from osteoporosis patients (osteoporosis group) and non-osteoporosis patients (control group) were subjected to quantitative reverse transcription polymerase chain reaction to detect the messenger RNA expression of ferroptosis hub genes in both groups.

resultsA total of 32 differentially expressed genes related to ferroptosis in osteoporosis were identified, including 26 up-regulated genes and 6 down-regulated genes. GO enrichment analysis showed that the identified genes were mainly involved in intercellular adhesion, lipid metabolism and cytokine response. KEGG enrichment analysis showed that the genes were mainly involved in signaling pathways of adhesive plaques, MAPK, PI3K-Akt, and Wnt. Spearman correlation analysis showed correlation among differentially expressed genes. Six hub genes for ferroptosis in osteoporosis were obtained, namely

conclusionsThis study has identified six ferroptosis-related hub genes in osteoporosis, which may be used as novel biomarkers for the early diagnosis and treatment of osteoporosis.

Indexed as

Computational BiologyFerroptosisOsteoporosisProtein Interaction MapsDatabases, GeneticGene Expression ProfilingGene OntologyHumansMesenchymal Stem CellsBioinformaticsBiomarkerFerroptosisIn vitro testOsteoporosis

Identifiers

PMID39608795
PMCPMC11736348

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