The SARS-CoV-2 B.1.617.2 (Delta) variant was first identified in the state of Maharashtra in late 2020 and spread throughout India, outcompeting pre-existing lineages including B.1.617.1 (Kappa) and B.1.1.7 (Alpha) 1 . In vitro, B.1.617.2 is 6-fold less sensitive to serum neutralising antibodies from recovered individuals, and 8-fold less sensitive to vaccine-elicited antibodies as compared to wild type (WT) Wuhan-1 bearing D614G. Serum neutralising titres against B.1.617.2 were lower in ChAdOx-1 versus BNT162b2 vaccinees. B.1.617.2 spike pseudotyped viruses exhibited compromised sensitivity to monoclonal antibodies against the receptor binding domain (RBD) and N-terminal domain (NTD). B.1.617.2 demonstrated higher replication efficiency in both airway organoid and human airway epithelial systems compared to B.1.1.7, associated with B.1.617.2 spike in a predominantly cleaved state compared to B.1.1.7. The B.1.617.2 spike protein was able to mediate highly efficient syncytium formation that was less sensitive to inhibition by neutralising antibody as compared to WT spike. Additionally we observed that B.1.617.2 had higher replication and spike mediated entry as compared to B.1.617.1, potentially explaining B.1.617.2 dominance. In an analysis of over 130 SARS-CoV-2 infected healthcare workers across three centres in India during a period of mixed lineage circulation, we observed reduced ChAdOx-1 vaccine effectiveness against B.1.617.2 relative to non-B.1.617.2, with the caveat of possible residual confounding. Compromised vaccine efficacy against the highly fit and immune evasive B.1.617.2 Delta variant warrants continued infection control measures in the post-vaccination era. India's first wave of SARS-CoV-2 infections in mid-2020 was relatively mild and was controlled by a nationwide lockdown. Since easing of restrictions, India has seen expansion in cases of COVID-19 since March
After escaping relatively unscathed during the first wave of the COVID-19 pandemic, India witnessed a ferocious second COVID-19 wave, starting in March 2021 and accounting for about half of global cases by the first week of May. SARS-CoV-2 had spread widely throughout India in the first wave, with the third national serosurvey in January 2021 finding that 21.4% of adults and 25.3% of 10-to 17-year-old adolescents were seropositive (1). Delhi, the national capital, was not included in the national serosurvey but had undergone multiple periods of high transmission in 2020 (Fig. 1A). In a district-wise stratified serosurvey conducted by the Delhi Government in January 2021, overall seropositivity was reported to be 56.1% (95% CI, 55.5-56.8%), ranging from 49.1% to 62.2% across 11 districts (2). This was expected to confer some protection from future outbreaks.Despite high seropositivity, Delhi was amongst the most affected cities during the second wave. The rise in new cases was exceptionally rapid in April, going from approximately 2000 to 20,000 between 31 March and 16 April. This was accompanied by a rapid rise in hospitalizations and ICU admissions (Fig. 1B). In this emergency situation with saturated bed occupancy by 12 April, major private hospitals were declared by the state as full COVID care-only and senior medical students, including from alternative medicine branches, were pressed into service (3). Deaths rose proportionately (Fig. 1C) and the case-fatality ratio (CFR), estimated as the scaling factor between time-advanced cases and deaths (Fig. 1D), was stable (mean, SD; 1.9, 0.3%). Population spread of SARS-CoV-2 is underestimated by test positive cases alone (1, 2). To better understand the degree of spread and the factors leading to the unexpectedly severe outbreak, we used all available data including testing, sequencing, serosurveys, and serially followed cohorts.In the absence of finely resolved or serial data from national and state surveys, we focused on data for Delhi participants of a national serosurvey of Council of Scientific and
Recent population-based epidemiological studies strongly hint towards a link between obesity and its occurrence as well as progression of several cancers including melanoma. Although effects of obesity on breast, colon and liver cancers have been extensively investigated, the links between obesity and melanoma remain largely unexplored. Present study aimed to understand the effect of high fat diet-induced weight gain on susceptibility of C57BL/6J mice to melanoma. For this, mice routinely were fed on high fat diet for 6 months (HFD mice). Subsequently, mouse melanoma cells were injected subcutaneously in control as well as HFD mice and followed for tumor initiation and progression. We provide strong evidence that diet-induced obesity leads to increased melanoma progression in male C57BL/6J mice. We observed that increased melanoma progression is associated with enhanced Cav-1 and FASN expression in tumors from HFD mice. Cav-1 and FASN are co-ordinately regulated and Cav-1 interacts with FASN in melanoma cells. Enhanced levels of Cav-1, FASN and pAkt control melanoma cell proliferation. Our study establishes a causative relationship between diet-induced obesity and melanoma progression as well as demonstrates that obesity affects important tumorigenic pathways in melanoma.Many studies have lately emerged providing plausible evidence for the role of obesity, an indispensable component of metabolic syndrome and a severe metabolic disorder, in pathogenesis and progression of cancer. Study by American Cancer Society states that 14% of all cancer deaths in men and 20% of all cancer deaths in women from range of cancer types can be ascribed to excess body weight. 1 Data from the National Health and Nutrition Examination Survey (NHANES) shows increased prevalence of overweight and obese adults in US population 2-4 with a similar trend in children. 2,4 Traditionally, cancers that are associated with obesity are breast, colon, pancreas, liver, cervix, stomach and kidney. 2,4 Among postmenopausal women in UK, 5% of all cancers are attributable to being overweight or obese, 5 and obese Swedish men are at significantly increased risk of occurrence of various cancers. 6 In the recent past, several reports have emerged highlighting a possible link between obesity and melanoma cancers. [7][8][9][10][11][12] Solar radiation has been identified as a principal causal factor for melanoma. However, the role of changing lifestyle patterns associated with obesity may also contribute to the development and progression of melanoma. In a study by Dennis et al., occurrence of melanoma had significant association with highest category of body surface area and body mass index [weight (kg)/height (m 2 )]. 7 In another study, it has been clearly demonstrated that obesity increases the risk of melanoma 11 and body mass index also relates with the risk of melanoma occurence. 13 All these studies provide a firm basis for an association between obesity and increased risk of melanoma occurrence thereby suggesting that strategies to control obesity...
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