Evaluation of Multi-antibiotic Resistance Index (MAR) and Molecular Characterization of Pseudomonas aeruginosa Isolated in Pathological Products from Chad

Pseudomonas aeruginosa is a bacterium present in several ecological niches causing opportunistic infections in humans. In developing countries like Chad, this bacteria is responsible for various human pathologies. High-priority pathogens, such as Salmonella and Shigella, represent a particularly heavy burden in low- and middle-income countries, as do Pseudomonas aeruginosa and Staphylococcus aureus, which pose serious problems in health centers. The objective of this study was to evaluate the multi-antibiotic resistance index and to carry out a molecular characterization of Pseudomonas aeruginosa isolated in pathological products from Chad using by rep-PCR (GTG)5. Antibiotic resistance phenotypes were obtained by interpreting the results of our previous study on antimicrobial resistance of Pseudomonas aeruginosa isolated from human infections in N'Djamena, Chad. In this study, two phenotypes were obtained that is XDR and MDR. Thus, 24/36 of strains came from urine and 29/36 strains were MDR. The multi-antibiotic resistance (MAR) indexes varied from 0.33 to 0.86. The rep-PCR allowed good discrimination of Pseudomonas aeruginosa strains in this study. These isolates were grouped based on characteristic bands appearing in their genetic fingerprint profiles. In this study, Pseudomonas aeruginosa strains isolated from urinary tract infections and pus were classified as XDR and MDR type strains.

Authors

Institutions

Publication Details

Journal
Microbiology Research Journal International
Published
2024-10-25
DOI
https://doi.org/10.9734/mrji/2024/v34i111495
Citations
1
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Multi-antibiotic Resistance Index (MAR) and Molecular Characterization of Pseudomonas aeruginosa Isolated in Pathological Products from Chad

Hissein Ousman Abdoullahi, Djibrine Adoum Oumar, Fissou Henry Yandai, Aly Savadogo et al.
1 citations
Microbiology Research Journal International
Antibiotic Use and Resistance
0.30
article

Evaluation of Multi-antibiotic Resistance Index (MAR) and Molecular Characterization of Pseudomonas aeruginosa Isolated in Pathological Products from Chad

Hissein Ousman Abdoullahi, Djibrine Adoum Oumar, Fissou Henry Yandai, Aly Savadogo, Ahmat Mahamat Ahmat, Kadidja Gamougam, Hama Cissé, Choua Ouchemi, Abdelsalam Tidjani
article en
1 citations

Abstract

Pseudomonas aeruginosa is a bacterium present in several ecological niches causing opportunistic infections in humans. In developing countries like Chad, this bacteria is responsible for various human pathologies. High-priority pathogens, such as Salmonella and Shigella, represent a particularly heavy burden in low- and middle-income countries, as do Pseudomonas aeruginosa and Staphylococcus aureus, which pose serious problems in health centers. The objective of this study was to evaluate the multi-antibiotic resistance index and to carry out a molecular characterization of Pseudomonas aeruginosa isolated in pathological products from Chad using by rep-PCR (GTG)5. Antibiotic resistance phenotypes were obtained by interpreting the results of our previous study on antimicrobial resistance of Pseudomonas aeruginosa isolated from human infections in N'Djamena, Chad. In this study, two phenotypes were obtained that is XDR and MDR. Thus, 24/36 of strains came from urine and 29/36 strains were MDR. The multi-antibiotic resistance (MAR) indexes varied from 0.33 to 0.86. The rep-PCR allowed good discrimination of Pseudomonas aeruginosa strains in this study. These isolates were grouped based on characteristic bands appearing in their genetic fingerprint profiles. In this study, Pseudomonas aeruginosa strains isolated from urinary tract infections and pus were classified as XDR and MDR type strains.

Microbiology Research Journal InternationalVol. 34(11)
University of N'Djamena (TD), Université Joseph Ki-Zerbo (BF), Centre Hospitalier Universitaire de Rennes (FR)
Openalex Percentile: Top 33%
Antibiotic Use and Resistance
0.30
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.