ArticleAutophagy2022
The polymorphism L412F in
Article in Autophagy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Toll-like receptors polymorphisms and COVID-19: a systematic review.Molecular and cellular biochemistry · 2025Pooled it
- Pooled it
- Trop-1/EpCAM Thr115 is a driver of hyperproliferative cell repair and of severe lung damage in COVID-19.iScience · 2026Article
- Review
- Article
- Modelling severe COVID-19 in TLR3-mutated hiPSCs-derived lung organoids.Cell death discovery · 2025Article
- Toll-like receptor 3 (TLR 3) polymorphisms predisposition to schizophrenia and bipolar disorder.Molecular biology reports · 2025Article
- Deciphering TLR and JAK/STAT pathways: genetic variants and targeted therapies in COVID-19.Molecular biology reports · 2025Review
- Role of toll-like receptors in post-COVID-19 associated neurodegenerative disorders?Frontiers in medicine · 2025Review
- Article
- Special Issue "The Role of Toll-Like Receptors (TLRs) in Infection and Inflammation 2.0".International journal of molecular sciences · 2024Article
- Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic.Life (Basel, Switzerland) · 2024Review
- Host genetics and COVID-19 severity: increasing the accuracy of latest severity scores by Boolean quantum features.Frontiers in genetics · 2024Article
- The TLR3 L412F polymorphism prevents TLR3-mediated tumor cell death induction in pediatric sarcomas.Cell death discovery · 2023Article
- Ultra-rare RTEL1 gene variants associate with acute severity of COVID-19 and evolution to pulmonary fibrosis as a specific long COVID disorder.Respiratory research · 2023Article
- TLRs: Innate Immune Sentries against SARS-CoV-2 Infection.International journal of molecular sciences · 2023Review
- Alterations in the Expression of IFN Lambda, IFN Gamma and Toll-like Receptors in Severe COVID-19 Patients.Microorganisms · 2023Article
- Genetic adaptation to pathogens and increased risk of inflammatory disorders in post-Neolithic Europe.Cell genomics · 2023Article
- Cellular Sensors and Viral Countermeasures: A Molecular Arms Race between Host and SARS-CoV-2.Viruses · 2023Review
- Gain- and Loss-of-FunctionCells · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors at 10 institutions in 4 countries.
Funding
Abstract
The polymorphism L412F in TLR3 has been associated with several infectious diseases. However, the mechanism underlying this association is still unexplored. Here, we show that the L412F polymorphism in TLR3 is a marker of severity in COVID-19. This association increases in the sub-cohort of males. Impaired macroautophagy/autophagy and reduced TNF/TNFα production was demonstrated in HEK293 cells transfected with TLR3
Indexed as
Identifiers
What OpenQuestion holds
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.