RÉSUMÉ
Influenza Like Illness (ILI) and Severe Acute Respiratory Infection (SARI) cases are more prone to Influenza and SARS-CoV-2 infection. Accordingly, we genetically characterized Influenza and SARS-CoV-2 in 633 ILI and SARI cases by rRT-PCR and WGS. ILI and SARI cases showed H1N1pdm09 prevalence of 20.9% and 23.2% respectively. 135 (21.3%) H1N1pdm09 and 23 (3.6%) H3N2 and 5 coinfection (0.78%) of H1N1pdm09 and SARS-CoV-2 were detected. Phylogenetic analysis revealed H1N1pdm09 resemblance to clade 6B.1A.5a.2 and their genetic relatedness to InfA/Perth/34/2020, InfA/Victoria/88/2020 and InfA/Victoria/2570/2019. Pan 24 HA and 26 NA nonsynonymous mutations and novel HA (G6D, Y7F, Y78H, P212L, G339R, T508K and S523T) and NA (S229A) mutations were observed. S74R, N129D, N156K, S162N, K163Q and S164T alter HA Cb and Sa antibody recognizing site. Similarly, M19T, V13T substitution and multiple mutations in transmembrane and NA head domain drive antigenic drift. SARS-CoV-2 strains genetically characterized to Omicron BA.2.75 lineage containing thirty nonsynonymous spike mutations exhibited enhanced virulence and transmission rates. Coinfection although detected very minimal, the mutational changes in H1N1pdm09 and SARS-CoV-2 virus infected individuals could alter antibody receptor binding sites, allowing the viruses to escape immune response resulting in better adaptability and transmission. Thus continuous genomic surveillance is required to tackle any future outbreak.
Sujet(s)
COVID-19 , Sous-type H1N1 du virus de la grippe A , Grippe humaine , Phylogenèse , SARS-CoV-2 , Humains , Sous-type H1N1 du virus de la grippe A/génétique , SARS-CoV-2/génétique , Grippe humaine/virologie , Grippe humaine/épidémiologie , COVID-19/virologie , COVID-19/épidémiologie , Adulte , Adulte d'âge moyen , Mâle , Femelle , Adolescent , Jeune adulte , Génome viral/génétique , Sujet âgé , Co-infection/virologie , Co-infection/épidémiologie , Enfant , Enfant d'âge préscolaire , Syndrome respiratoire aigu sévère/virologie , Syndrome respiratoire aigu sévère/épidémiologie , Mutation , NourrissonRÉSUMÉ
AIM: To determine the role of geminin as a tool for differentiating various types of cervical intraepithelial neoplasia (CIN) and cervical carcinoma (CC). METHODS: Seventy women newly diagnosed with CIN or CC undergoing cervical biopsy were included; their clinical profile, human papilloma virus (HPV) positivity, and colposcopy findings were noted, and biopsy tissue was analyzed for geminin content. RESULTS: On geminin immunohistochemistry, 100% of women with CIN3 and 96.29% of women with CC had geminin two plus or more. When analyzed as ordinal variables, there was a significant correlation (spearman's rho 0.35, p 0.01) between geminin and biopsy results (CIN1, CIN2, CIN3, and CC). CONCLUSIONS: Screening tests for cervical cancer, like conventional pap smears, liquid-based pap smears, and triaging with HPV, have limitations. It is important to be able to differentiate between high-grade lesions, invasive cancer, and low-grade lesions. The detection of geminin in these cells may aid in the confirmation of the diagnosis and ensure adequate treatment. Cervical intraepithelial lesions and carcinoma cervix demonstrated a correlation between increased geminin expression in CIN1 vs. CC and CIN2 vs. CC. Geminin may be a potential surrogate marker for higher-grade cervical lesions, and further research is needed to corroborate evidence in this direction.
RÉSUMÉ
SARS-CoV-2 has expressively changed its sequences during the COVID-19 pandemic situation by encompassing persistent evolutionary mutational changes resulting in the emergence of many clades and lineages. Evolution of these SARS-CoV-2 variants have significantly imparted fitness advantage to the virus, enhanced its transmissibility and severity of the disease. These new variants are a potential threat to the vaccine efficacy as well. It is therefore pertinent to monitor the evolution of these variants and their epidemiological and clinical impact, in a geographic setting. This study has thus looked into the geographic distribution and genetic diversity of SARS-CoV-2 variants and the evolutionary circulation of different clades in Chhattisgarh (CG) state from March 2020 to July 2023. A total of 3018 sequences were retrieved from the GISAID database, in which 558 were submitted by us. The demographic data revealed male preponderance of 56.45% versus 43.54% females, with the overall mean age of 36.5 years. SARS-CoV-2 sequences represented many variants viz., Delta (55%), Omicron (22%) and others (15%) with a small proportion of recombinant (5%), Kappa (2%), and Alpha (1%). The viral clades G was found predominant for a year from initial days of pandemic in March, 2020 to January, 2021 which then subsequently evoluted to subclade GK (Delta B.1.617.2) and remained in circulation in CG till November, 2021. From December 2021, the GRA (Omicron B.1.1.529) variant had replaced GK to become the dominant strain and continues to predominate in present time. GRA clade is however continuously encompassing new recombinant strains, having various non-synonymous mutations especially in spike protein. The non-synonymous mutation P314L in ORF1b, S84L in ORF8 and D614G in spike protein were found as the pan mutation carried over from clade G to GRA. The continuous evolution in SARS-CoV2 warrants periodical geographic genomic surveillance monitoring to timely detect any new variants having the potential of causing future outbreak.