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Mendelian randomization suggests potential causal link between severe COVID-19 and polymyositis risk

Mendelian randomization suggests potential causal link between severe COVID-19 and polymyositis risk
Photo by Enayet Raheem / Unsplash
Key Takeaway
Consider MR findings linking severe COVID-19 to polymyositis as preliminary evidence requiring validation.

This single-center cohort study of 108 hospitalized patients with PCR-confirmed COVID-19 employed a multilevel exploratory framework combining Mendelian randomization (MR), multi-omic analyses, and retrospective cohort analysis. The study examined the relationship between severe COVID-19 (as the exposure) and polymyositis risk, comparing severe versus non-severe COVID-19 cases. The primary MR analysis using inverse-variance weighted (IVW) method suggested a potential causal effect, with a genetically predicted increase in severe COVID-19 risk associated with higher polymyositis odds (OR = 1.65, 95% CI: 1.36–2.01). Secondary analyses explored mediating biomarkers and differences in hematological indices between severity groups, though specific results for these outcomes were not reported in the provided data.

Safety and tolerability data were not reported for this observational analysis. The study had several important limitations: causal inference remains limited by potential confounding inherent in observational studies, and the research adopted an explicitly exploratory framework. The single-center design with 108 patients further limits generalizability.

For clinical practice, these findings represent preliminary evidence requiring substantial validation. The MR analysis suggests a potential biological link between severe COVID-19 and subsequent polymyositis risk, but clinicians should interpret this cautiously. The study does not establish clinical management pathways but may inform future research into post-COVID inflammatory complications. More rigorous prospective studies are needed to confirm any causal relationship and quantify actual clinical risk.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
ObjectivesObservational studies suggest an association between Coronavirus Disease 2019 (COVID-19) and polymyositis (PM), but causal inference s limited by confounding. This study adopted a multilevel exploratory framework to investigate potential relationships. We used two-sample Mendelian randomization (MR) to assess the causal effect of severe COVID-19 on PM, multi-omic analyses to screen for potential mediators, and retrospectively compared hematological profiles between severe and non-sever COVID-19 cases.DesignA two-sample MR with mediation analysis and a single-center retrospective cohort analysis.Setting and participantsGenetic instruments for severe COVID-19 (exposure), PM (outcome) and candidate multi-omic mediators (91 inflammatory proteins, 4,907 circulating plasma proteins, 731 immune-cell traits, and 1,400 plasma metabolites) were obtained from genome-wide association studies (GWAS). The clinical study included 108 hospitalized patients with PCR-confirmed COVID-19, classified into severe and non-severe subgroups.Main outcomesThe main outcome in the MR analysis was the causal odds ratio (OR) of PM per genetically predicted increase in the risk of severe COVID-19. Secondary outcomes included the identification of mediating biomarkers and differences in hematological indices between severe and non-severe COVID-19 patients.ResultsMR analysis suggested a potential causal effect of severe COVID-19 on PM (IVW OR = 1.65, 95% CI: 1.36–2.01, p 
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