1. Computational prediction of crucial genes involved in gonorrhea infection and neoplastic cell transformation: A multiomics approach.
- Author
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Ravindranath BS, Ananya G, Hema Kumar C, Ramirez DC, and Gomez Mejiba SE
- Subjects
- Humans, Genes, Essential, Virulence genetics, Inflammation genetics, Virulence Factors genetics, Host-Pathogen Interactions genetics, Multiomics, Gonorrhea microbiology, Gonorrhea genetics, Neisseria gonorrhoeae genetics, Neisseria gonorrhoeae pathogenicity, Protein Interaction Maps genetics, Computational Biology, Bacterial Proteins genetics, Bacterial Proteins metabolism, Cell Transformation, Neoplastic genetics
- Abstract
Neisseria gonorrheae, the causative agent of genitourinary infections, has been associated with asymptomatic or recurrent infections and has the potential to form biofilms and induce inflammation and cell transformation. Herein, we aimed to use computational analysis to predict novel associations between chronic inflammation caused by gonorrhea infection and neoplastic transformation. Prioritization and gene enrichment strategies based on virulence and resistance genes utilizing essential genes from the DEG and PANTHER databases, respectively, were performed. Using the STRING database, protein‒protein interaction networks were constructed with 55 nodes of bacterial proteins and 72 nodes of proteins involved in the host immune response. MCODE and cytoHubba were used to identify 12 bacterial hub proteins (murA, murB, murC, murD, murE, purN, purL, thyA, uvrB, kdsB, lpxC, and ftsH) and 19 human hub proteins, of which TNF, STAT3 and AKT1 had high significance. The PPI networks are based on the connectivity degree (K), betweenness centrality (BC), and closeness centrality (CC) values. Hub genes are vital for cell survival and growth, and their significance as potential drug targets is discussed. This computational study provides a comprehensive understanding of inflammation and carcinogenesis pathways that are activated during gonorrhea infection., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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