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.

Importance of Normal Values of CSF Parameters in Term Versus Preterm Neonates.

BACKGROUND: Evaluation of the cerebrospinal fluid (CSF) white blood cell (WBC) count and glucose and protein concentrations is used to assess the probability of the presence of central nervous system (CNS) infection. Although normal values are well established for CSF cell counts and protein and glucose contents in children and adults, this is not the case for neonates. AIMS: The purpose of this study was to evaluate the composition of noninfected CSF obtained by nontraumatic lumbar puncture in neonates (age<28 days), specifically distinguishing CSF profiles of those term babies compared with those premature infants. MATERIALS AND METHODS: The CSF samples obtained by lumbar puncture from 120 neonates were examined by routine procedures. RESULTS: By comparing CSF parameters between term gestation neonate group with premature neonate one, nontraumatic puncture, there was no statistically significant difference (P<0.05) in the mean WBC (P=0.6). The mean protein concentration was significantly greater in those premature neonates (P<0.04). The mean glucose concentration was also analogous in both groups (P=0.5). CONCLUSION: The CSF profile, like any other laboratory determination, should be evaluated within the clinical context of the individual case.