Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach
Background: Metabolic syndrome (MS) has grown in recognition to contribute to the pathogenesis of osteoarthritis (OA), which is the most prevalent arthritis characterized by joint dysfunction. However, the specific mechanism between OA and MS remains unclear. Methods: The gene expression profiles an...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
29 September 2021
|
| In: |
International journal of general medicine
Year: 2021, Jahrgang: 14, Pages: 6201-6213 |
| ISSN: | 1178-7074 |
| DOI: | 10.2147/IJGM.S325561 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2147/IJGM.S325561 Verlag, lizenzpflichtig, Volltext: https://www.dovepress.com/exploring-diagnostic-biomarkers-and-comorbid-pathogenesis-for-osteoart-peer-reviewed-fulltext-article-IJGM 
|
| Verfasserangaben: | Xiang Jiang, Rongzhou Zhong, Weifan Dai, Hui Huang, Qinyuan Yu, Jiji Alexander Zhang, Yanrong Cai |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1777525136 | ||
| 003 | DE-627 | ||
| 005 | 20230510140418.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 211116s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.2147/IJGM.S325561 |2 doi | |
| 035 | |a (DE-627)1777525136 | ||
| 035 | |a (DE-599)KXP1777525136 | ||
| 035 | |a (OCoLC)1341423957 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Jiang, Xiang |e VerfasserIn |0 (DE-588)1245889958 |0 (DE-627)1777526019 |4 aut | |
| 245 | 1 | 0 | |a Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach |c Xiang Jiang, Rongzhou Zhong, Weifan Dai, Hui Huang, Qinyuan Yu, Jiji Alexander Zhang, Yanrong Cai |
| 264 | 1 | |c 29 September 2021 | |
| 300 | |a 13 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 16.11.2021 | ||
| 520 | |a Background: Metabolic syndrome (MS) has grown in recognition to contribute to the pathogenesis of osteoarthritis (OA), which is the most prevalent arthritis characterized by joint dysfunction. However, the specific mechanism between OA and MS remains unclear. Methods: The gene expression profiles and clinical information data of OA and MS were retrieved from the Gene Expression Omnibus (GEO) database. The genes in the key module of MS were identified by weighted gene co-expression network analysis (WGCNA), which intersected with the differentially expressed genes (DEGs) between control and MS samples to obtain hub genes for MS. The potential functions and pathways of hub genes were detected through the Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analyses. The genes involved in the different KEGG pathways between the control and OA samples overlapped with the DEGs between the two groups via the Venn analysis to gain the hub genes for OA affected by MS (MOHGs). Additionally, the least absolute shrinkage and selection operator (LASSO) was performed on the MOHGs to establish a diagnostic model for each disease. Results: A total of 61 hub genes for MS were identified that significantly enriched in platelet activation, complement and coagulation cascades, and hematopoietic cell lineage. Besides, 4 candidate genes (ELOVL7, F2RL3, GP9, and ITGA2B) were screened among the 6 MOHGs to construct a diagnostic model, showing good performance for distinguishing controls from patients with MS and OA. GSEA suggested that these diagnostic genes were closely associated with immune response, adipocytokine signaling, fatty acid metabolism, cell cycle, and platelet activation. Conclusion: Taken together, we identified 4 potential gene biomarkers for diagnosing MS and OA patients, providing a theoretical basis and reference for the diagnostics and treatment targets of MS and OA. | ||
| 700 | 1 | |a Zhong, Rongzhou |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dai, Weifan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Huang, Hui |e VerfasserIn |4 aut | |
| 700 | 1 | |a Yu, Qinyuan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Zhang, Jiji A. |e VerfasserIn |0 (DE-588)1205038965 |0 (DE-627)1690373199 |4 aut | |
| 700 | 1 | |a Cai, Yanrong |d 1993- |e VerfasserIn |0 (DE-588)1288951663 |0 (DE-627)184504813X |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of general medicine |d Albany, Auckland : Dove Medical Press, 2008 |g 14(2021), Seite 6201-6213 |h Online-Ressource |w (DE-627)578539691 |w (DE-600)2452220-X |w (DE-576)286026279 |x 1178-7074 |7 nnas |a Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach |
| 773 | 1 | 8 | |g volume:14 |g year:2021 |g pages:6201-6213 |g extent:13 |a Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach |
| 856 | 4 | 0 | |u https://doi.org/10.2147/IJGM.S325561 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u https://www.dovepress.com/exploring-diagnostic-biomarkers-and-comorbid-pathogenesis-for-osteoart-peer-reviewed-fulltext-article-IJGM |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20211116 | ||
| 993 | |a Article | ||
| 994 | |a 2021 | ||
| 998 | |g 1288951663 |a Cai, Yanrong |m 1288951663:Cai, Yanrong |d 50000 |e 50000PC1288951663 |k 0/50000/ |p 7 |y j | ||
| 998 | |g 1205038965 |a Zhang, Jiji A. |m 1205038965:Zhang, Jiji A. |d 910000 |d 911460 |e 910000PZ1205038965 |e 911460PZ1205038965 |k 0/910000/ |k 1/910000/911460/ |p 6 | ||
| 999 | |a KXP-PPN1777525136 |e 4002458121 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"physDesc":[{"extent":"13 S."}],"relHost":[{"id":{"issn":["1178-7074"],"zdb":["2452220-X"],"eki":["578539691"]},"title":[{"title":"International journal of general medicine","title_sort":"International journal of general medicine"}],"origin":[{"publisher":"Dove Medical Press","dateIssuedKey":"2008","dateIssuedDisp":"2008-","publisherPlace":"Albany, Auckland"}],"part":{"volume":"14","text":"14(2021), Seite 6201-6213","extent":"13","year":"2021","pages":"6201-6213"},"pubHistory":["1.2008 -"],"recId":"578539691","language":["eng"],"disp":"Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approachInternational journal of general medicine","type":{"bibl":"periodical","media":"Online-Ressource"},"physDesc":[{"extent":"Online-Ressource"}]}],"name":{"displayForm":["Xiang Jiang, Rongzhou Zhong, Weifan Dai, Hui Huang, Qinyuan Yu, Jiji Alexander Zhang, Yanrong Cai"]},"origin":[{"dateIssuedKey":"2021","dateIssuedDisp":"29 September 2021"}],"id":{"eki":["1777525136"],"doi":["10.2147/IJGM.S325561"]},"type":{"media":"Online-Ressource","bibl":"article-journal"},"note":["Gesehen am 16.11.2021"],"language":["eng"],"recId":"1777525136","person":[{"given":"Xiang","family":"Jiang","role":"aut","display":"Jiang, Xiang","roleDisplay":"VerfasserIn"},{"display":"Zhong, Rongzhou","roleDisplay":"VerfasserIn","role":"aut","family":"Zhong","given":"Rongzhou"},{"family":"Dai","given":"Weifan","roleDisplay":"VerfasserIn","display":"Dai, Weifan","role":"aut"},{"family":"Huang","given":"Hui","display":"Huang, Hui","roleDisplay":"VerfasserIn","role":"aut"},{"given":"Qinyuan","family":"Yu","role":"aut","roleDisplay":"VerfasserIn","display":"Yu, Qinyuan"},{"role":"aut","display":"Zhang, Jiji A.","roleDisplay":"VerfasserIn","given":"Jiji A.","family":"Zhang"},{"display":"Cai, Yanrong","roleDisplay":"VerfasserIn","role":"aut","family":"Cai","given":"Yanrong"}],"title":[{"title_sort":"Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach","title":"Exploring diagnostic biomarkers and comorbid pathogenesis for osteoarthritis and metabolic syndrome via bioinformatics approach"}]} | ||
| SRT | |a JIANGXIANGEXPLORINGD2920 | ||