Antibiotic Susceptibility Screening and Search for Resistance Genes in <i>Yersinia pestis</i> Clinical Isolates from Plague Outbreaks in Natural Foci of Kazakhstan (1926–2003)

<b><i>Background:</i></b> Antimicrobial resistance (AMR) is a growing global threat that complicates the treatment of infectious diseases, including plague. <i>Yersinia pestis</i>, the causative agent of plague, remains a serious public health concern in natural foci, such as those in Kazakhstan, where approximately 40% of the territory is plague-endemic. Despite the last reported human case in 2003, data on antibiotic resistance among <i>Y. pestis</i> isolates from these foci, especially historical ones, remain limited. <b><i>Materials and Methods:</i></b> A total of 75 <i>Y. pestis</i> strains were examined, including 61 isolates obtained from patients and deceased individuals during epidemic outbreaks (1926-2003) and 14 isolates from carriers and vectors in natural plague foci. Taxonomic identification was conducted using the Vitek 2 Compact 30 system. Antibiotic susceptibility was assessed by Kirby-Bauer disk diffusion and E-test methods. Extended-spectrum β-lactam (ESBL) activity was evaluated phenotypically, and resistance genes to glycopeptides and β-lactams were screened by real-time polymerase chain reaction (RT-PCR) using the BacResista GLA Detection Kit. <b><i>Results:</i></b> All isolates showed complete susceptibility (100%) to β-lactams, tetracyclines, aminoglycosides, amphenicols, glycopeptides, lincosamides, and quinolones. The overall susceptibility rate across antibiotic classes was 97.5%. Macrolides exhibited low activity (0.0-58.0%), consistent with known limitations against Gram-negative bacteria. No ESBL production was detected phenotypically, and RT-PCR screening found no resistance genes (vanA/B, mecA, tem, ctx-M-1, shv, oxa, imp, kpc, ndm, etc.). <b><i>Conclusions:</i></b> These findings confirm a lack of resistance to key antibiotic classes in historical <i>Y. pestis</i> isolates from Kazakhstan. Despite the absence of recent human cases, ongoing epizootics among wild animals highlight a persistent risk of transmission. This study, conducted for the first time in Kazakhstan, has important implications for public health preparedness and clinical management during plague outbreaks.

Authors

Institutions

Publication Details

Journal
Microbial Drug Resistance
Published
2025-08-25
DOI
https://doi.org/10.1177/10766294251362277
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic Susceptibility Screening and Search for Resistance Genes in Yersinia pestis Clinical Isolates from Plague Outbreaks in Natural Foci of Kazakhstan (1926–2003)

Altyn K. Rysbekova, Beck Abdeliyev, Zauresh B. Zhumadilova, Z. Zh. Abdel et al.
Microbial Drug Resistance
Yersinia bacterium, plague, ectoparasites research
article

Antibiotic Susceptibility Screening and Search for Resistance Genes in Yersinia pestis Clinical Isolates from Plague Outbreaks in Natural Foci of Kazakhstan (1926–2003)

Altyn K. Rysbekova, Beck Abdeliyev, Zauresh B. Zhumadilova, Z. Zh. Abdel, Аrdak Jumagaziyeva, Aigul A. Abdirassilova, B. Baitursyn, Svetlana Issaeva, Raikhan Mussagalieva, Bauyrzhan Toizhanov, Nurbol Shakiyev, Dinmukhammed Otebay
article en

Abstract

<b><i>Background:</i></b> Antimicrobial resistance (AMR) is a growing global threat that complicates the treatment of infectious diseases, including plague. <i>Yersinia pestis</i>, the causative agent of plague, remains a serious public health concern in natural foci, such as those in Kazakhstan, where approximately 40% of the territory is plague-endemic. Despite the last reported human case in 2003, data on antibiotic resistance among <i>Y. pestis</i> isolates from these foci, especially historical ones, remain limited. <b><i>Materials and Methods:</i></b> A total of 75 <i>Y. pestis</i> strains were examined, including 61 isolates obtained from patients and deceased individuals during epidemic outbreaks (1926-2003) and 14 isolates from carriers and vectors in natural plague foci. Taxonomic identification was conducted using the Vitek 2 Compact 30 system. Antibiotic susceptibility was assessed by Kirby-Bauer disk diffusion and E-test methods. Extended-spectrum β-lactam (ESBL) activity was evaluated phenotypically, and resistance genes to glycopeptides and β-lactams were screened by real-time polymerase chain reaction (RT-PCR) using the BacResista GLA Detection Kit. <b><i>Results:</i></b> All isolates showed complete susceptibility (100%) to β-lactams, tetracyclines, aminoglycosides, amphenicols, glycopeptides, lincosamides, and quinolones. The overall susceptibility rate across antibiotic classes was 97.5%. Macrolides exhibited low activity (0.0-58.0%), consistent with known limitations against Gram-negative bacteria. No ESBL production was detected phenotypically, and RT-PCR screening found no resistance genes (vanA/B, mecA, tem, ctx-M-1, shv, oxa, imp, kpc, ndm, etc.). <b><i>Conclusions:</i></b> These findings confirm a lack of resistance to key antibiotic classes in historical <i>Y. pestis</i> isolates from Kazakhstan. Despite the absence of recent human cases, ongoing epizootics among wild animals highlight a persistent risk of transmission. This study, conducted for the first time in Kazakhstan, has important implications for public health preparedness and clinical management during plague outbreaks.

Microbial Drug ResistanceVol. 31(9)
National Research Center for Maternal and Child Health (KZ)
Openalex Percentile: Top 79%
Yersinia bacterium, plague, ectoparasites research
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.