ArticleCells2021
Identifying Putative Causal Links between MicroRNAs and Severe COVID-19 Using Mendelian Randomization.
Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Genetically Predicted Serum miRNAs as Potential Causal Drivers of Atopic Dermatitis: Evidence from Large-Scale GWAS and Clinical Validation.Clinical, cosmetic and investigational dermatology · 2026Article
- Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.Frontiers in immunology · 2026Article
- Uncovering new MicroRNAs linked to acute pancreatitis: zeroing in on the protective effect.Hereditas · 2025Article
- Graph attention networks-based prediction of MicroRNA-disease causality in head and neck neoplasms.Scientific reports · 2025Article
- Causal role of MiRNAs in chronic rhinosinusitis: mendelian randomization and validation study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025Article
- Role of miRNAs in the pathogenesis of psoriasis and psoriatic arthritis: a genome-wide Mendelian randomization study.Clinical rheumatology · 2025Article
- Role and Therapeutic Potential of miR-301b-3p in Regulating the PI3K-AKT Pathway via PIK3CB in Eosinophilic Chronic Rhinosinusitis.Journal of inflammation research · 2025Article
- Exploring the Causal Role of miR-941 in Chronic Rhinosinusitis: Insights from Transcriptomics and Genomics.International journal of general medicine · 2025Article
- Exploring the underlying molecular mechanisms of acute myocardial infarction after SARS-CoV-2 infection.American heart journal plus : cardiology research and practice · 2024Article
- Identification and validation of key miRNAs and a microRNA-mRNA regulatory network associated with liver cancer.Cell cycle (Georgetown, Tex.) · 2024Article
- Systematic genome-wide Mendelian randomization reveals the causal links between miRNAs and Parkinson's disease.Frontiers in neuroscience · 2024Article
- Systems genetics identifies miRNA-mediated regulation of host response in COVID-19.Human genomics · 2023Article
- Circulating microRNAs as emerging regulators of COVID-19.Theranostics · 2023Review
- miR-146a, miR-221, and miR-155 are Involved in Inflammatory Immune Response in Severe COVID-19 Patients.Diagnostics (Basel, Switzerland) · 2022Article
- Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods.Life (Basel, Switzerland) · 2022Article
- Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.EBioMedicine · 2022Article
- Exploring the Causal Relationship Between Circulating miRNAs and Sepsis Through Mendelian Randomization Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
The SARS-CoV-2 (COVID-19) pandemic has caused millions of deaths worldwide. Early risk assessment of COVID-19 cases can help direct early treatment measures that have been shown to improve the prognosis of severe cases. Currently, circulating miRNAs have not been evaluated as canonical COVID-19 biomarkers, and identifying biomarkers that have a causal relationship with COVID-19 is imperative. To bridge these gaps, we aim to examine the causal effects of miRNAs on COVID-19 severity in this study using two-sample Mendelian randomization approaches. Multiple studies with available GWAS summary statistics data were retrieved. Using circulating miRNA expression data as exposure, and severe COVID-19 cases as outcomes, we identified ten unique miRNAs that showed causality across three phenotype groups of COVID-19. Using expression data from an independent study, we validated and identified two high-confidence miRNAs, namely, hsa-miR-30a-3p and hsa-miR-139-5p, which have putative causal effects on developing cases of severe COVID-19. Using existing literature and publicly available databases, the potential causative roles of these miRNAs were investigated. This study provides a novel way of utilizing miRNA eQTL data to help us identify potential miRNA biomarkers to make better and early diagnoses and risk assessments of severe COVID-19 cases.
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Registered trials
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 OpenQuestion graph.