Identification and exploration of transcripts involved in antibiotic resistance mechanism of two critical superbugs
IMAGE:
GEO, GENE EXPRESSION OMNIBUS; KP, KLEBSIELLA PNEUMONIAE; PA, PSEUDOMONAS AERUGINOSA.
view moreCREDIT: TRIPTI SWARNKAR, SWAYAMPRABHA SAHOO
Background and objectives
Infectious diseases caused by pathogenic strains of bacteria are a global cause of morbidity and mortality. Hospital-acquired infections caused by Klebsiella pneumonia and Pseudomonas aeruginosa were found vulnerable during the COVID-19 pandemic. They are also responsible for the onset of certain life-threatening infectious diseases such as cystic fibrosis, endocarditis, bacteremia, and sepsis. Looking into the importance of these two superbugs there is a strong need for extensive comparative differential gene expression analysis among the wild-type and mutant for betterment of intensive care unit patients especially as such pathogenic bacterial strains have a dangerous role in the intensive care unit.
Methods
This study revealed the RNA microarray gene expression profiles of GSE24688, GSE4026, and GSE117438. The study compared all genes from three different datasets and all drug resistance genes from two divergent organisms, Klebsiella pneumonia and Pseudomonas aeruginosa.
Results
10 numbers of shared significant genes and five drug resistance genes were obtained in this study. These putative genes may show intriguing patterns of connection with resistance mechanisms and can be used in the field of diagnostics and treatment. Our divergent analysis also revealed a very clear distinct relation between Klebsiella pneumoniae and Pseudomonas aeruginosa at the genetic level, though they both function under antimicrobial resistance.
Conclusions
We observed interesting phenomena of nonsimilarity between common significant genes and common drug resistance genes that led to conclusions about genetic divergence due to which its physical properties have been changed but chemically involved in similar drug resistance mechanisms. Our study used a robust integrative bioinformatics analysis of microarray data to investigate the DEG of AMR superbugs. Through a comparative analysis supported by functional enrichment results, diverse pathways and distinct biological processes, molecular function, and cellular components were highlighted. Interestingly, we observed 10 common genes in all three datasets that are highly expressed and significant, five genes that are present in both KP and PA and are involved in drug resistance in both superbugs. Our findings provide a detailed account of the drug resistance gene’s divergent evolution, which could open new vistas for MDR prognosis and can be informative in antimicrobial therapeutics research. The candidate gene approach can be used to validate AMR to know the potential interesting association patterns with resistance mechanisms.
Full text
https://www.xiahepublishing.com/1555-3884/GE-2023-00022
The study was recently published in the Gene Expression.
Gene Expression (GE) is an open-access journal. It was launched in 1991 by Chicago Medical School Press, and transferred to Cognizant Communication Corporation in 1994. From August 2022, GE is published by Xia & He Publishing Inc.
GE publishes peer-reviewed and high-quality original articles, reviews, editorials, commentaries, and opinions on its primary research topics including cell biology, molecular biology, genes, and genetics, especially on the cellular and molecular mechanisms of human diseases.
GE has been indexed in Medline (1991-2021), Scopus, Biological Abstracts, Biosis Previews, ProQuest, etc.
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JOURNAL
Gene Expression
ARTICLE TITLE
Identification and Exploration of Transcripts Involved in Antibiotic Resistance Mechanism of Two Critical Superbugs
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