Seroepidemiological and genomic investigation of SARS-CoV-2 spread in North East region of India.

Purpose: Seroepidemiology and genomic surveillance are valuable tools to investigate infection transmission during a pandemic. North East (NE) India is a strategically important region being the gateway connecting the country with Southeast Asia. Here, we examined the spread of SARS-CoV-2 in NE India during the first and second waves of COVID-19 using serological and whole genome sequencing approaches.

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys.

Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in assessing vaccine effectiveness in populations globally. Serological discrimination of vaccine response from infection has so far been limited to Spike protein vaccines since whole virion vaccines generate antibodies against all the viral proteins.

Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2.

To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India) conducted a serosurvey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS-CoV2 anti-nucleocapsid (anti-NC) antibodies, 95% of which had surrogate neutralization activity.

Beneficial role of insect-derived bioactive components against inflammation and its associated complications (colitis and arthritis) and cancer.

Insect-based bioactive components are emerging as novel sources of drugs, effective against various diseases. Inflammation is considered to be an innate immune response developed by different organisms against foreign pathogens and cellular stress. However, repetitive elevated inflammation is considered to be responsible for development of many other diseases including colitis and arthritis.

Potential of mean force and molecular dynamics study on the transient interactions between α and β synuclein that drive inhibition of α-synuclein aggregation.

Self-association of α-synuclein (αS) into pathogenic oligomeric species and subsequent formation of highly ordered amyloid fibrils is linked to the Parkinson's disease. So most of the recent studies are now focused on the development of potential therapeutic strategies against this debilitating disease. β-synuclein (βS), a presynaptic protein that co-localizes with αS has been recently reported to act as an inhibitor of αS self-assembly.