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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Zheng, Xiao Li, Jinhao Ma, Qinfeng Gong, Jianping Pan, Jianbo |
| Abstract | Background Clinical and epidemiological analyses have found an association between coronavirus disease 2019 (COVID-19) and knee osteoarthritis (KOA). Infection with COVID-19 may increase the risk of developing KOA. Objectives This study aimed to investigate the potential causal relationship between COVID-19 and KOA using Mendelian randomization (MR) and to explore the underlying mechanisms through a systematic bioinformatics approach. Methods Our investigation focused on exploring the potential causal relationship between COVID-19, acute upper respiratory tract infection (URTI) and KOA utilizing a bidirectional MR approach. Additionally, we conducted differential gene expression analysis using public datasets related to these three conditions. Subsequent analyses, including transcriptional regulation analysis, immune cell infiltration analysis, single-cell analysis, and druggability evaluation, were performed to explore potential mechanisms and prioritize therapeutic targets. Results The results indicate that COVID-19 has a one-way impact on KOA, while URTI does not play a causal role in this association. Ribosomal dysfunction may serve as an intermediate factor connecting COVID-19 with KOA. Specifically, COVID-19 has the potential to influence the metabolic processes of the extracellular matrix, potentially impacting the joint homeostasis. A specific group of genes (COL10A1, BGN, COL3A1, COMP, ACAN, THBS2, COL5A1, COL16A1, COL5A2) has been identified as a shared transcriptomic signature in response to KOA with COVID-19. Imatinib, Adiponectin, Myricetin, Tranexamic acid, and Chenodeoxycholic acid are potential drugs for the treatment of KOA patients with COVID-19. Conclusions This study uniquely combines Mendelian randomization and bioinformatics tools to explore the possibility of a causal relationship and genetic association between COVID-19 and KOA. These findings are expected to provide novel perspectives on the underlying biological mechanisms that link COVID-19 and KOA. |
| Related Links | https://bmcmedgenomics.biomedcentral.com/counter/pdf/10.1186/s12920-024-02074-4.pdf |
| Ending Page | 17 |
| Page Count | 17 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17558794 |
| DOI | 10.1186/s12920-024-02074-4 |
| Journal | BMC Medical Genomics |
| Issue Number | 1 |
| Volume Number | 18 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2025-01-02 |
| Access Restriction | Open |
| Subject Keyword | Human Genetics Microarrays Gene Expression COVID-19 Knee osteoarthritis (KOA) Mendelian randomization (MR) Bioinformatics analysis Acute upper respiratory tract infection (URTI) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics (clinical) Genetics |
| Journal Impact Factor | 2.1/2023 |
| 5-Year Journal Impact Factor | 2.5/2023 |
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