A comprehensive review of resistome profiles in ocular pathogens: Insights into Pseudomonas aeruginosa and emerging resistance trends

Eye infections are a significant area of microbial adaptation and therapeutic challenge, as antibiotic resistance threatens vision. In the last ten years, our knowledge of the ocular resistome has expanded through genomics and molecular epidemiology. An analysis of global evidence from 2015 to 2025 on the resistance architecture of major ocular pathogens will be presented, with a focus on Pseudomonas aeruginosa (P. aeruginosa). The organism shows remarkable genomic flexibility by incorporating intrinsic resistance elements, biofilm-mediated tolerance, and by acquiring ARGs such as bla<sub>VIM</sub>, bla<sub>GES</sub>, QnrVC and RmtB by horizontal transfer. According to researchers, Staphylococcus aureus (S. aureus), Streptococcus pneumoniae (S. pneumoniae), and Acinetobacter baumannii (A. baumannii) have evolved mechanisms of drug resistance. Geographic analysis shows regional disparities, particularly in South Asia and North America, which are associated with antibiotic use and clinical exposure. To prevent the emergence of ocular antimicrobial resistance, there's an urgent need for rapid molecular diagnostics, genomic-based surveillance, and responsible antimicrobial stewardship.

Authors

Institutions

Publication Details

Journal
Journal of Infection and Public Health
Published
2026-02-13
DOI
https://doi.org/10.1016/j.jiph.2026.103183
Primary Topic
Ocular Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive review of resistome profiles in ocular pathogens: Insights into Pseudomonas aeruginosa and emerging resistance trends

Sudha Ramaiah, Anand Anbarasu, Debraj Joel Das Adhikari, J S Amith Velavan et al.
Journal of Infection and Public Health
Ocular Infections and Treatments
article

A comprehensive review of resistome profiles in ocular pathogens: Insights into Pseudomonas aeruginosa and emerging resistance trends

Sudha Ramaiah, Anand Anbarasu, Debraj Joel Das Adhikari, J S Amith Velavan, Raghav Krishnan Kulandaivelu, Aditi Roy, S Karan, Soham Roy, Reddysai Amudala
article en

Abstract

Eye infections are a significant area of microbial adaptation and therapeutic challenge, as antibiotic resistance threatens vision. In the last ten years, our knowledge of the ocular resistome has expanded through genomics and molecular epidemiology. An analysis of global evidence from 2015 to 2025 on the resistance architecture of major ocular pathogens will be presented, with a focus on Pseudomonas aeruginosa (P. aeruginosa). The organism shows remarkable genomic flexibility by incorporating intrinsic resistance elements, biofilm-mediated tolerance, and by acquiring ARGs such as bla<sub>VIM</sub>, bla<sub>GES</sub>, QnrVC and RmtB by horizontal transfer. According to researchers, Staphylococcus aureus (S. aureus), Streptococcus pneumoniae (S. pneumoniae), and Acinetobacter baumannii (A. baumannii) have evolved mechanisms of drug resistance. Geographic analysis shows regional disparities, particularly in South Asia and North America, which are associated with antibiotic use and clinical exposure. To prevent the emergence of ocular antimicrobial resistance, there's an urgent need for rapid molecular diagnostics, genomic-based surveillance, and responsible antimicrobial stewardship.

Journal of Infection and Public HealthVol. 19(4)
Vellore Institute of Technology University (IN)
Good health and well-being
Openalex Percentile: Top 58%
Ocular Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.