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1.
Braz. arch. biol. technol ; 64: e21200785, 2021. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1350264

ABSTRACT

Abstract Some studies have discovered a connection between prostate cancer and COVID-19. In this study, we evaluated the link between prostate cancer and COVID-19, contributing to elucidate the connection between TMPRSS2 and ACE2. We discovered 209 number of variants in TMPRSS2 gene, and 110 variants represent EA populations and 99 of them represent AA populations. Moreover, we found 23 suspected missense and 3 unknown variants. Then, linked genes to TMPRSS2 and ACE2 were found in our study. We investigated the expression level of TMPRSS2 and the results showed that it was very high in the prostate, colon, lung, kidney, and saliva-secreting gland. Also, the important role of the AR gene was revealed in addition to other oncogenes and tumor suppressor genes for prostate cancer by KEGG Pathway analysis. In conclusion, these results can highlight several molecular mechanisms of SARS-CoV-2, and also TMPRSS2, ACE2, and AR connection explains the high expression level of AR gene found in the male lung.

2.
Braz. arch. biol. technol ; 63: e20200304, 2020. tab, graf
Article in English | LILACS | ID: biblio-1132259

ABSTRACT

Abstract We aimed to analyze the expression profile of ACE2 and similar genes with ACE2, predict the number of variations in ACE2, detect the suspected SNPs on ACE2 gene, and perform the pathway analysis of renin-angiotensin system (RAS) and protein absorption-digestion. Moreover, we have predicted the gene-related diseases with ACE2. STRING was used to analyze functionally similar genes with ACE2. Exome Variant Server, SIFT, Polyphen2 were used to predict the number of variations in ACE2 and detect the suspected SNPs on ACE2. KEGG database and STRING were used to draw pathway of ACE2. Then, DISEASES resource, FitSNPs, UniProt, BioXpress, IGV Browser, Ensembl Genome Browser, and UCSC Genome Browser were used to predict the ACE2 gene-related diseases and expression profile in human normal and cancer tissues. We have shown that expression of ACE2 was correlated with AGT, REN, AGTR1, AGRT2, MME2, DPP4, PRCP, MEP1A, XPNPEP2, MEP1BandACE2 is expressed in testis, kidney, heart, thyroid, colon, esophagus, breast, minor salivary gland, pancreas, lung, liver, bladder, cervix, and muscle tissues. We found 99 variations in ACE2 gene, in which no previous study has been performed. In the future, this in silico analysis should be combined with other pieces of evidence including experimental data to assign function.


Subject(s)
Humans , Pneumonia, Viral/enzymology , Coronavirus Infections/enzymology , Peptidyl-Dipeptidase A/genetics , Pandemics , Renin-Angiotensin System/genetics , Gene Expression , Genotype
3.
Asian Pacific Journal of Tropical Biomedicine ; (12): 773-777, 2015.
Article in Chinese | WPRIM | ID: wpr-950864

ABSTRACT

OBJECTIVE: To detect the subtype characterization and drug-resistant mutations in HIV-1 strains after the refugee movement from Syria to Turkey between 2011 and 2014 in south east border lines. METHODS: A total of 65 patients were included in this study, of which 57 (88%) patients were antiretroviral therapy-naive patients. HIV-1 RNA was detected and quantified by real-time PCR assay. HIV-1 subtypes and circulating recombinant forms (CRFs) were identified by phylogenetic analysis (neighbor-joining method), and drug-resistant mutations were analyzed. RESULTS: Three major HIV groups were indicated. Two of these groups were located in subtype B. The other group showed heterogeneity. Subtype B (48/65, 73.8%), followed by CRFs (12/65, 18.5%) was the most common strain. Subtype of CRFs consisted of CRF01_AE (9/65, 13.8%) and CRF02_AG (3/65, 4.6%). Subtype C (1/65, 1.5%), sub-subtypes A1 (2/65, 3.1%) and F1 (2/65, 3.1%) were also detected with low prevalence. The rate of overall primary antiretroviral resistance was 4.9% (3/61). Drug-resistant rate for non-nucleoside reverse transcriptase inhibitors was 4.9%. The thymidine analogue mutation rate was 13.1% (8/61). CONCLUSIONS: HIV molecular epidemiology studies are necessary to determine transmission patterns and spread. Subtype B and CRF01_AE, CRF02_AG are the most prevalent strains in the south-east of Turkey. However, subtype C, sub-subtypes A1 and F1 are of low prevalence but persist in the south-east of Turkey. In the near future, changing of HIV epidemiology will be possible in Turkey due to migration movement in border lines and resistance testing will play an important role in HIV management.

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