ReviewMicrobial pathogenesis2021
ACE2 and TMPRSS2 polymorphisms in various diseases with special reference to its impact on COVID-19 disease.
Review in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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
64 citing papers in PubMed, 112 citations in OpenAlex.
- DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome.Journal of translational medicine · 2022Trial
- Association of angiotensin converting enzyme type 2 serum level and gene polymorphisms with multiple sclerosis.Scientific reports · 2026Article
- Role of the Inflammasome Pathway According to the Expression of Proteins and Genetic Polymorphisms in COVID-19 Patients.International journal of molecular sciences · 2025Observational
- The role of candidate genetic polymorphisms in covid-19 susceptibility and outcomes.BMC medical genomics · 2025Article
- The relationship between microRNAs and COVID-19 complications.Non-coding RNA research · 2025Review
- Molecular analysis of long COVID and new-onset diabetes mellitus: pathobiological relationships and current mechanistic views.Frontiers in endocrinology · 2025Review
- Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.Bioinformatics and biology insights · 2025Article
- Comparative cohort study of post-acute COVID-19 infection with a nested, randomized controlled trial of ivabradine for those with postural orthostatic tachycardia syndrome (the COVIVA study).Frontiers in neurology · 2025Article
- Receptors Involved in COVID-19-Related Anosmia: An Update on the Pathophysiology and the Mechanistic Aspects.International journal of molecular sciences · 2024Review
- Article
- Post-COVID-19 Pain Is Not Associated with DNA Methylation Levels of theBiomedicines · 2024Article
- DNA Methylation Levels of the ACE2 Promoter Are Not Associated with Post-COVID-19 Symptoms in Individuals Who Had Been Hospitalized Due to COVID-19.Microorganisms · 2024Article
- Association of ACE2 and TMPRSS2 genes variants with disease severity and most important biomarkers in COVID-19 patients in Bosnia and Herzegovina.Croatian medical journal · 2024Article
- Genomic, Proteomic, and Phenotypic Biomarkers of COVID-19 Severity: Protocol for a Retrospective Observational Study.JMIR research protocols · 2024Article
- Inflammatory Polymorphisms (IL-6Viruses · 2024Article
- In silico study of alkaloids with quercetin nucleus for inhibition of SARS-CoV-2 protease and receptor cell protease.PloS one · 2024Article
- The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.Frontiers in immunology · 2024Article
- Association of specificFrontiers in immunology · 2024Article
- Article
- Antibody Fc-binding profiles and ACE2 affinity to SARS-CoV-2 RBD variants.Medical microbiology and immunology · 2023Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA carboxypeptidase protein called ACE2 is found in many organs. ACE2 protein can play a pivotal role to regulate the pathological changes of several diseases including COVID-19. TMPRSS2 gene is expressed in many human tissues and plays a critical role in spreading the infection of the viruses including coronavirus and progression of prostate cancer, and hence could be used as a potential drug target. There are limited reports on occurrence of genetic polymorphism of ACE2 and TMPRSS2 in general population, expressions in pathological conditions, and its impact on COVID-19 disease. Hence we comprehended the occurrence of ACE2, TMPRSS2 polymorphism in general population, expression in various diseases and its impact on COVID-19 disease.
methodWe utilized multiple databases, PubMed (Medline), EMBASE and Google Scholar for literature search. DESCRIPTION: ACE2 polymorphisms have significant linkages with various diseases, including severity of SARS-CoV-2 infection. Genetic variations of these genes contribute to individual's genetic susceptibility to viral infection and its subsequent clearance. The diversity and variations in the population distribution of these genes, might greatly influence and in turn reflect into the observed population and gender differences of the severity and clinical outcomes of SARS-CoV-2 infection.
conclusionThere are diversities in distribution of ACE2 and TMPRSS2 polymorphisms among different populations. Analyzing the genetic variants and expression of ACE2 and TMPRSS2 genes, in a population may provide the genetic marker for susceptibility or resistance against the coronavirus infection, which might be useful for identifying the susceptible population groups for targeted interventions and for making relevant public health policy decisions.
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.