ArticleMedical hypotheses2020
SARS-CoV-2 and miRNA-like inhibition power.
Article in Medical hypotheses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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.
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.
- The role of microRNAs in modulating SARS-CoV-2 infection in human cells: a systematic review.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Pooled it
- The Potential Roles of Host Cell miRNAs in Fine-Tuning Bovine Coronavirus (BCoV) Molecular Pathogenesis, Tissue Tropism, and Immune Regulation.Microorganisms · 2024Article
- Decoding the intricacies: a comprehensive analysis of microRNAs in the pathogenesis, diagnosis, prognosis and therapeutic strategies for COVID-19.Frontiers in medicine · 2024Review
- A Novel Mathematical Model That Predicts the Protection Time of SARS-CoV-2 Antibodies.Viruses · 2023Article
- Article
- Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2.Virulence · 2022Article
- MiRNA-SARS-CoV-2 dialogue and prospective anti-COVID-19 therapies.Life sciences · 2022Review
- Context-Dependent Regulation of Gene Expression by Non-Canonical Small RNAs.Non-coding RNA · 2022Review
- A Model for the Lifespan Loss Due to a Viral Disease: Example of the COVID-19 Outbreak.Infectious disease reports · 2022Article
- Age Dependent Epidemic Modeling of COVID-19 Outbreak in Kuwait, France, and Cameroon.Healthcare (Basel, Switzerland) · 2022Article
- Article
- miRNAs; a novel strategy for the treatment of COVID-19.Cell biology international · 2021Review
- Unpredictable, Counter-Intuitive Geoclimatic and Demographic Correlations of COVID-19 Spread Rates.Biology · 2021Article
- The Importance of miRNA Identification During Respiratory Viral Infections.Journal of cellular immunology · 2021Article
- MicroRNAs and SARS-CoV-2 life cycle, pathogenesis, and mutations: biomarkers or therapeutic agents?Cell cycle (Georgetown, Tex.) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: RNA viruses and especially coronaviruses could act inside host cells not only by building their own proteins, but also by perturbing the cell metabolism. We show the possibility of miRNA-like inhibitions by the SARS-CoV-2 concerning for example the hemoglobin and type I interferons syntheses, hence highly perturbing oxygen distribution in vital organs and immune response as described by clinicians; (2) Hypothesis: We hypothesize that short RNA sequences (about 20 nucleotides in length) from the SARS-CoV-2 virus genome can inhibit the translation of human proteins involved in oxygen metabolism, olfactory perception and immune system. (3) Methods: We compare RNA subsequences of SARS-CoV-2 protein S and RNA-dependent RNA polymerase genes to mRNA sequences of beta-globin and type I interferons; (4) Results: RNA subsequences longer than eight nucleotides from SARS-CoV-2 genome could hybridize subsequences of the mRNA of beta-globin and of type I interferons; (5) Conclusions: Beyond viral protein production, COVID-19 might affect vital processes like host oxygen transport and immune response.
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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.