Page 56 - ISMCON souvenir 2021

ISMSCON - 2021

In order to get better estimates of hazards at different time points, it’s vital to categorize the uncertain
censored cases as confirmed deaths. When compared to a direct examination of the dataset, the PSM
technique has frequently resulted in a reduction in bias.
Keywords: Competing risk, Multistate model, Censoring, Propensity score matching, Simulation

OS17: NGS DATA ON RNA PROFILING AND MICROBIOME IN
COVID-19: A SYSTEMATIC REVIEW AND META-ANALYSIS

Bindu Punathumparambath1, B. Binukumar2, Palash Kumar Malo3, Kannan V. M.4
1Department of Statistics, Govt. Arts & Science College, Kozhikode
2 Department of Biostatistics, National Institute of Mental Health and Neuro Sciences, Bengaluru
3 Department of Computational Sciences, School of Sciences, CHRIST (Deemed to be University), Delhi-NCR
Campus, Ghaziabad
4 Department of Zoology, University of Calicut, Kerala
Email: ppbindukannan@gmail.com

ABSTRACT

COVID-19 pandemic led to a surge in basic and applied research related to it and the outcomes of the
studies helped in designing better strategies for the control of the disease. As COVID-19 prognosis and
progression varied among individuals, the role played by genetic makeup and resulting gene expression
changes in individuals warrants attention. Next generation sequencing (NGS) helps us to understand
the changes in gene expression of thousands of genes simultaneously from an individual or tissue
and compare with that of controls. As the technique is comparatively expensive and time consuming
the sample size analyzed were relatively small usually and a metagenomic analysis of such available
datasets help in deriving more meaningful conclusions. In addition, pooling of such data across the globe
helps in arriving at more general conclusions without the ethnic or geographical bias. A systematic review
was conducted in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis
(PRISMA) guidelines. We searched in PubMed, Scopus, Google Scholar, NGS studies on COVID-19
infection using appropriate search strategies. Further, the papers obtained were grouped into categories
like gene expression in COVID 19, COVID 19 RNA profiling, and COVID 19 Diagnostics etc. The data
from each group was subjected to metagenomic analysis and the results will be discussed.
Keywords: COVID-19, SARS-CoV-2, gene expression, next-generation sequencing, systematic review,
meta-analysis

OS18: ZINC SUFFICIENCY AND MORTALITY DUE TO COVID-19

Brijesh P. Singh1 and Samer Singh2
1Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India
2Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University,
Varanasi, India
Email: brijesh@bhu.ac.in
Keywords: COVID-19, nutritional immunity, zinc supplementation, infection, mortality.

The impact of zinc (Zn) sufficiency on COVID-19 associated mortality and incidence remains unknown.
During an infection, the levels of free Zn are reduced as part of “nutritional immunity” to limit the growth
and replication of pathogen and the consequent inflammatory damage. Considering its key role in
immune competency and frequently recorded deficiency in large sections of different populations, Zn has
been prescribed for both prophylactic and therapeutic purposes in COVID-19 without any evidence for
its protective role. Multiple trials are underway evaluating the effect of Zn supplementation on COVID-19

54 CONFERENCE SOUVENIR