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Significance of understanding the genomics of host-pathogen interaction in limiting antibiotic resistance development : Lessons from COVID-19 pandemic

Yadav, Vikas LU and Ravichandran, Srividhya (2024) In Briefings in Functional Genomics 23(1). p.69-74
Abstract

The entire world is facing the stiff challenge of COVID-19 pandemic. To overcome the spread of this highly infectious disease, several short-sighted strategies were adopted such as the use of broad-spectrum antibiotics and antifungals. However, the misuse and/or overuse of antibiotics have accentuated the emergence of the next pandemic: Antimicrobial resistance (AMR). It is believed that pathogens while transferring between humans and the environment carry virulence and antibiotic-resistant factors from varied species. It is presumed that all such genetic factors are quantifiable and predictable, a better understanding of which could be a limiting step for the progression of AMR. Herein, we have reviewed how genomics-based understanding... (More)

The entire world is facing the stiff challenge of COVID-19 pandemic. To overcome the spread of this highly infectious disease, several short-sighted strategies were adopted such as the use of broad-spectrum antibiotics and antifungals. However, the misuse and/or overuse of antibiotics have accentuated the emergence of the next pandemic: Antimicrobial resistance (AMR). It is believed that pathogens while transferring between humans and the environment carry virulence and antibiotic-resistant factors from varied species. It is presumed that all such genetic factors are quantifiable and predictable, a better understanding of which could be a limiting step for the progression of AMR. Herein, we have reviewed how genomics-based understanding of host-pathogen interactions during COVID-19 could reduce the non-judicial use of antibiotics and prevent the eruption of an AMR-based pandemic in future.

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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
antibiotics, COVID-19, genomics, host-pathogen interactions, pandemics
in
Briefings in Functional Genomics
volume
23
issue
1
pages
6 pages
publisher
Oxford University Press
external identifiers
  • pmid:36722037
  • scopus:85182881204
ISSN
2041-2649
DOI
10.1093/bfgp/elad001
language
English
LU publication?
yes
id
bf2e483e-6929-4786-86c0-69d2012fe792
date added to LUP
2024-02-19 14:06:48
date last changed
2024-11-16 14:29:53
@article{bf2e483e-6929-4786-86c0-69d2012fe792,
  abstract     = {{<p>The entire world is facing the stiff challenge of COVID-19 pandemic. To overcome the spread of this highly infectious disease, several short-sighted strategies were adopted such as the use of broad-spectrum antibiotics and antifungals. However, the misuse and/or overuse of antibiotics have accentuated the emergence of the next pandemic: Antimicrobial resistance (AMR). It is believed that pathogens while transferring between humans and the environment carry virulence and antibiotic-resistant factors from varied species. It is presumed that all such genetic factors are quantifiable and predictable, a better understanding of which could be a limiting step for the progression of AMR. Herein, we have reviewed how genomics-based understanding of host-pathogen interactions during COVID-19 could reduce the non-judicial use of antibiotics and prevent the eruption of an AMR-based pandemic in future.</p>}},
  author       = {{Yadav, Vikas and Ravichandran, Srividhya}},
  issn         = {{2041-2649}},
  keywords     = {{antibiotics; COVID-19; genomics; host-pathogen interactions; pandemics}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{69--74}},
  publisher    = {{Oxford University Press}},
  series       = {{Briefings in Functional Genomics}},
  title        = {{Significance of understanding the genomics of host-pathogen interaction in limiting antibiotic resistance development : Lessons from COVID-19 pandemic}},
  url          = {{http://dx.doi.org/10.1093/bfgp/elad001}},
  doi          = {{10.1093/bfgp/elad001}},
  volume       = {{23}},
  year         = {{2024}},
}