Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India.

The evolution of viral variants and their impact on viral transmission have been an area of considerable importance in this pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We analyzed the viral variants in different phases of the pandemic in West Bengal, a state in India that is important geographically, and compared the variants with other states like Delhi, Maharashtra, and Karnataka, located in other regions of the country. We have identified 57 pango-lineages in 3,198 SARS-CoV-2 genomes, alteration in their distribution, as well as contrasting profiles of amino acid mutational dynamics across different waves in different states. The evolving characteristics of Delta (B.1.617.2) sublineages and alterations in hydrophobicity profiles of the viral proteins caused by these mutations were also studied. Additionally, implications of predictive host miRNA binding/unbinding to emerging spike or nucleocapsid mutations were highlighted. Our results throw considerable light on interesting aspects of the viral genomic variation and provide valuable information for improved understanding of wave-defining mutations in unfolding the pandemic. IMPORTANCE Multiple waves of infection were observed in many states in India during the coronavirus disease 2019 (COVID19) pandemic. Fine-scale evolution of major SARS-CoV-2 lineages and sublineages during four wave-window categories: Pre-Wave 1, Wave 1, Pre-Wave 2, and Wave 2 in four major states of India: Delhi (North), Maharashtra (West), Karnataka (South), and West Bengal (East) was studied using large-scale virus genome sequencing data. Our comprehensive analysis reveals contrasting molecular profiles of the wave-defining mutations and their implications in host miRNA binding/unbinding of the lineages in the major states of India.

Hirschsprung's Disease in Neonates with Special Reference to Calretinin Immunohistochemistry.

BACKGROUND: Hirschsprung's disease is a classic example of a complex genetic disease, characterized by the lack of enteric ganglia in the submucosal and myenteric plexuses, along variable portions of the distal gut. The diagnosis of Hirschsprung's disease is based on a combination of clinical features, radiological appearance of the bowel and histological features in Haematoxylin & Eosin stained sections of intestinal biopsies. Calretinin Immunohistochemistry is emerging to be one of the newer methods. AIMS AND OBJECTIVES: This study was undertaken to ascertain 1) clinical profile; 2) mode of presentation; 3) to evaluate the role of Calretinin immunostain in the diagnosis of Hirschsprung's Disease. MATERIALS AND METHODS: This prospective and observational study was conducted in the Department of Pathology IPGME&R from July 2013 to September 2014. Eighty nine patients, clinically and radiologically diagnosed with Hirschsprung's disease underwent surgery and were included in the study. The data of every patient including age, sex and presenting symptoms were recorded. Eventually, histopathological examination & immunohistochemistry were done. RESULTS: Total number of cases studied was 89 which aged between 0 days to 28 days. Overall sensitivity in our study to diagnose presence or absence of ganglion cells by calretinin immunohistochemistry was 100% and the specificity is 97.44% with positive and negative predictive value of 84.62 % and 100 % respectively. CONCLUSION: Calretinin immunohistochemistry holds several advantages, and it's simple and not doubtful; and it is either positive or negative.