ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) is a major global health concern. This virus infects the upper respiratory tract and causes pneumonia-like symptoms. So far, few studies have shown that respiratory infections alter nasopharyngeal (NP) microbiome diversity and enrich opportunistic pathogens. In this study, we have sequenced the 16S rRNA variable regions, V1 through V9, extracted from NP samples of control and COVID-19 (symptomatic and asymptomatic) participants using the Oxford Nanopore technology. Comprehensive bioinformatics analysis investigating the alpha/beta diversities, non-metric multidimensional scaling, correlation studies, canonical correspondence analysis, linear discriminate analysis, and dysbiosis index analysis revealed control and COVID-19-specific NP microbiomes. We observed significant dysbiosis in COVID-19 NP microbiome with abundance of opportunistic pathogens such as Cutibacterium, Corynebacterium, Oerskovia, and Cellulomonas in asymptomatic patients, and of Streptomyces and Mycobacteriaceae family in symptomatic patients. Furthermore, we observed sharp rise in enrichment of opportunistic pathogens in symptomatic patients, with abundance of Mycobacteria and Mycoplasma, which strongly correlated with the occurrences of chest pain and fever. Our findings contribute novel insights regarding emergence of opportunistic pathogens in COVID-19 patients and their relationship with symptoms, suggesting their potential role in coinfections.
ABSTRACT
Purpose: The major cause of chronic hepatitis is infections with hepatitis B virus and hepatitis C virus (HCV) globally. However, there exists sparse epidemiological data regarding the prevalence of HCV infection from India. Methodology: We carried out a cross-sectional study to estimate the prevalence of anti-HCV antibody among acute febrile illness cases aged between 1 and 65 years in Idar Taluk, Sabarkantha district, Gujarat state located in West India. A total of 702 serum samples collected from the study area during the year 2017, were screened for anti-hepatitis C IgG by enzyme-linked immunosorbent assay. The serum samples screened positive were then subjected to molecular testing for confirmation. Results: Among the 702 study participants screened, 16 cases were reported to be anti-HCV IgG positive with an estimated seroprevalence rate of 2.3% (95% confidence interval: 1.4%-3.7%). Out of the 16 cases, two samples were confirmed positive by molecular testing indicating active infection. When analysed phylogenetically, one strain was genotyped as HCV1b genotype, and the other one was clustered along with HCV3a genotype. Both the patients with hepatitis C infection were observed to be having a probable 1-year survival rate of 100% and a 2-year survival rate of 85% when the Child-Turcotte-Pugh classification was applied. Conclusion: The estimated seroprevalence of hepatitis C in Idar Taluk, Sabarkantha district, west India was 2.3%. HCV genotypes 1b and 3a were observed to be circulating in the study area.
