Résumé
Background & objectives: Regional Virus Research and Diagnostic Laboratory established at ICMR-National Institute of Cholera and Enteric Diseases (NICED) regularly receives samples for dengue screening and serotyping from patients of acute febrile illness (AFI) from Kolkata and adjacent districts. In this study, data over a three year period (August 2016-July 2019) was retrospectively analyzed to provide insight into the epidemiological trends of dengue fever in this region. Methods: Serological screening of dengue was performed by detection of NS1 antigen and/or immunoglobulin M (IgM) antibody. Dengue serotyping was done by conventional or real-time reverse transcriptase–PCR. The data were analyzed to describe the distribution of dengue with respect to age of patient, duration of fever on the day of blood collection and month of the year. Zip codes were used for spatial plotting. Results: Out of the 24,474 samples received from Kolkata and its adjacent districts (Hooghly, Howrah, North and South 24 Parganas), 38.3 per cent (95% confidence interval: 37.7-38.9%) samples were screened positive for dengue. The correlation between age and dengue positivity was found to be weak. A combination of dengue NS1 antigen and dengue IgM antibody detection may be a better option for detecting dengue positivity compared to a single test. Most AFI cases were tested from August to November during the study period, with maximum dengue positivity noted during September (45.9%). The predominant serotype of 2016, dengue virus serotype 1 (DENV-1), was almost entirely replaced by DENV-2 in 2017 and 2018. Interpretation & conclusions: Dengue continues to be an important cause of AFI in the region and round-the-year preventive measures are required for its control. Serotype switching is alarming and should be monitored routinely.
Résumé
Direct massively parallel sequencing of SARS-CoV-2 genome was undertaken from nasopharyngeal andoropharyngeal swab samples of infected individuals in Eastern India. Seven of the isolates belonged to the A2aclade, while one belonged to the B4 clade. Specific mutations, characteristic of the A2a clade, were alsodetected, which included the P323L in RNA-dependent RNA polymerase and D614G in the Spike glycoprotein. Further, our data revealed emergence of novel subclones harbouring nonsynonymous mutations, viz.G1124V in Spike (S) protein, R203K, and G204R in the nucleocapsid (N) protein. The N protein mutationsreside in the SR-rich region involved in viral capsid formation and the S protein mutation is in the S2 domain,which is involved in triggering viral fusion with the host cell membrane. Interesting correlation was observedbetween these mutations and travel or contact history of COVID-19 positive cases. Consequent alterations ofmiRNA binding and structure were also predicted for these mutations. More importantly, the possibleimplications of mutation D614G (in SD domain) and G1124V (in S2 subunit) on the structural stability of Sprotein have also been discussed. Results report for the first time a bird’s eye view on the accumulation ofmutations in SARS-CoV-2 genome in Eastern India.