Publications by authors named "J P Shastri"

In this study, we report on longitudinal kinetics of cellular immune subsets following SARS-CoV-2 infection in a cohort of hospitalized individuals and evaluate the interplay of these profiles with infecting viral variants, humoral immunity including neutralizing responses, vaccination history, and clinical outcomes. A cohort of 121 SARS-CoV-2-infected individuals exhibiting varying disease states were prospectively evaluated for lymphopenic profiles, antiviral humoral responses and infecting viral variants for a period of up to 90 d spanning the period of February 2021 to January 2022 (second and third waves of infection). A total of 51 participants received at least 1 vaccine dose of indigenous vaccines (Covishield or Covaxin) prior to recruitment.

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Introduction: Human mastadenovirus (HAdV) types 8, 37, 64 have been considered the major contributors in Epidemic keratoconjunctivitis (EKC) epidemics, but recent surveillance data have shown the involvement of emerging recombinants, including HAdV-53, HAdV-54, and HAdV-56. In our initial work, positive samples for adenovirus revealed that our strains were closer to HAdV-54 than HAdV-8. Hence, the current study aimed to use whole genome technology to identify the HAdV strain correctly.

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Background: Chikungunya disease (CHIKD) is a threat to global health, as it impairs the quality of life of an infected individual ranging from months to years. A systematic evaluation of the serological, virological, and immunological aspects of the circulating viruses and their impact on the host response is imperative for better understanding of the evolving disease dynamics.

Methods: Serum samples were collected from 196 acute CHIKD patients from ten tertiary care hospitals across India during 2016-2021.

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Background: The Global Typhoid Genomics Consortium was established to bring together the typhoid research community to aggregate and analyse serovar Typhi (Typhi) genomic data to inform public health action. This analysis, which marks 22 years since the publication of the first Typhi genome, represents the largest Typhi genome sequence collection to date (n=13,000).

Methods: This is a meta-analysis of global genotype and antimicrobial resistance (AMR) determinants extracted from previously sequenced genome data and analysed using consistent methods implemented in open analysis platforms GenoTyphi and Pathogenwatch.

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