ArticleFrontiers in immunology2024
The single nucleotide polymorphism rs4986790 (c.896A>G) in the gene
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- A developmentally informed narrative review of Toll-like receptors in adult and pediatric acute respiratory distress syndrome.Annals of translational medicine · 2026Review
- Taking its TOLL: the role of toll-like receptor 4 in human health and disease, and its potential as a therapeutic target.Frontiers in immunology · 2026Review
- Pattern Recognition Receptors (PRRs) Expression and Activation in COVID-19 and Long COVID: From SARS-CoV-2 Escape Mechanisms to Emerging PRR-Targeted Immunotherapies.Microorganisms · 2025Review
- Metabolic Characteristics and Cytokine Gene Polymorphisms as Potential Risk Factors for a Higher Liver Fibrosis Stage in MASLD Patients: A Hospital-Based Study.International journal of molecular sciences · 2025Article
- Analysis of gene polymorphisms in patients with pulmonary infections based on next-generation sequencing technology and their prognostic predictive value.Frontiers in medicine · 2025Article
- Role of toll-like receptors in post-COVID-19 associated neurodegenerative disorders?Frontiers in medicine · 2025Review
- The innate immune response in SARS-CoV2 infection: focus on toll-like receptor 4 in severe disease outcomes.Frontiers in immunology · 2025Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and aims: Several factors, such as hypertension and diabetes mellitus, are known to influence the course of coronavirus disease 2019 (COVID-19). However, there is currently little information on genetic markers that influence the severity of COVID-19. In this study, we specifically investigated the single nucleotide polymorphism (SNP) rs4986790 in the Methods: We analyzed the influence of demographics, pre-existing conditions, inflammatory parameters at the time of hospitalization, and Results: We confirmed that younger patient age and absence of pre-existing conditions were protective factors against disease progression. Furthermore, when comparing patients with mild SARS-CoV-2 infection with patients who required hospitalization or intensive care or even died due to COVID-19, the AG/GG genotype of Conclusion: In this study, we identified an additional genetic factor that may serve as an invariant predictor of COVID-19 outcome. The
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