Impact of antibiotics on the genomic expression of Pseudomonas aeruginosa in the East African community: a systematic review

<ns3:p> Introduction Antimicrobial resistance (AMR) is a major global health concern, with the greatest burden observed in lower-middle-income countries. Monitoring AMR through a One Health approach is essential to understand the link between clinical, animal, and environmental sources and to develop targeted interventions. Objectives This systematic review aimed to assess the impact of antibiotics on gene expression in <ns3:italic>Pseudomonas</ns3:italic> spp. within the East African Community (EAC). Methodology A thorough literature search across Web of Science, Scopus, and PubMed yielded 284 articles, of which 11 met the inclusion criteria after screening. The selected studies came from five EAC countries. Findings showed a high prevalence of AMR in <ns3:italic>Pseudomonas aeruginosa</ns3:italic> , with over 90% resistance to most antibiotics, except Amikacin, which remained effective likely due to limited usage. Results and discussion Common resistance genes identified included carbapenemases such as <ns3:italic>blaNDM-1</ns3:italic> and <ns3:italic>blaVIM.</ns3:italic> The disc diffusion method was the most commonly used technique (50%).Multidrug-resistant clones like ST244 and ST357 were frequently reported. Environmental isolates had lower resistance rates (54%) compared to clinical strains (73%), suggesting differing selection pressures. Most studies originated from Kenya and Uganda (each 30%), reflecting differences in research capacity and healthcare infrastructure across the region. Conclusion These results underscore the urgent need for expanded AMR surveillance, stronger antimicrobial stewardship, and further research to inform public health responses in East Africa. </ns3:p>

Authors

Institutions

Publication Details

Journal
F1000Research
Published
2025-09-19
DOI
https://doi.org/10.12688/f1000research.167441.1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of antibiotics on the genomic expression of Pseudomonas aeruginosa in the East African community: a systematic review

Robert Siida, Shango Patience Emmanuel Jakheng, Ezera Agwu, Ibrahim Babangida Abubakar et al.
F1000Research
Antibiotic Resistance in Bacteria
article

Impact of antibiotics on the genomic expression of Pseudomonas aeruginosa in the East African community: a systematic review

Robert Siida, Shango Patience Emmanuel Jakheng, Ezera Agwu, Ibrahim Babangida Abubakar, A. B. Agbaje, Herbert Mbyemeire, Elizabeth B. Umoren, Solomon Adomi Mbina, Augustine Oviosun, Reuben Samson Dangana, Ilemobayo Victor Fasogbon, Esther Ugo Alum, Ibe Michael Usman, Wusa Makena, Swase Dominic Terkimbi, Patrick Maduabuchi Aja, Angela Mumbua Musyoka, Emmanuel Orire Ikuomola, Nancy B. Mitaki, Comfort Danchal Vandu, Anyanwu Chinyere Njideka
article en

Abstract

<ns3:p> Introduction Antimicrobial resistance (AMR) is a major global health concern, with the greatest burden observed in lower-middle-income countries. Monitoring AMR through a One Health approach is essential to understand the link between clinical, animal, and environmental sources and to develop targeted interventions. Objectives This systematic review aimed to assess the impact of antibiotics on gene expression in <ns3:italic>Pseudomonas</ns3:italic> spp. within the East African Community (EAC). Methodology A thorough literature search across Web of Science, Scopus, and PubMed yielded 284 articles, of which 11 met the inclusion criteria after screening. The selected studies came from five EAC countries. Findings showed a high prevalence of AMR in <ns3:italic>Pseudomonas aeruginosa</ns3:italic> , with over 90% resistance to most antibiotics, except Amikacin, which remained effective likely due to limited usage. Results and discussion Common resistance genes identified included carbapenemases such as <ns3:italic>blaNDM-1</ns3:italic> and <ns3:italic>blaVIM.</ns3:italic> The disc diffusion method was the most commonly used technique (50%).Multidrug-resistant clones like ST244 and ST357 were frequently reported. Environmental isolates had lower resistance rates (54%) compared to clinical strains (73%), suggesting differing selection pressures. Most studies originated from Kenya and Uganda (each 30%), reflecting differences in research capacity and healthcare infrastructure across the region. Conclusion These results underscore the urgent need for expanded AMR surveillance, stronger antimicrobial stewardship, and further research to inform public health responses in East Africa. </ns3:p>

F1000ResearchVol. 14
Kampala International University (UG), University of Kigali (RW)
Openalex Percentile: Top 80%
Antibiotic Resistance in Bacteria
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.