» Articles » PMID: 25414062

Antimicrobial Resistance Profiles and Diversity in Salmonella from Humans and Cattle, 2004-2011

Overview
Date 2014 Nov 22
PMID 25414062
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

Analysis of long-term anti-microbial resistance (AMR) data is useful to understand source and transmission dynamics of AMR. We analysed 5124 human clinical isolates from Washington State Department of Health, 391 cattle clinical isolates from the Washington Animal Disease Diagnostic Laboratory and 1864 non-clinical isolates from foodborne disease research on dairies in the Pacific Northwest. Isolates were assigned profiles based on phenotypic resistance to 11 anti-microbials belonging to eight classes. Salmonella Typhimurium (ST), Salmonella Newport (SN) and Salmonella Montevideo (SM) were the most common serovars in both humans and cattle. Multinomial logistic regression showed ST and SN from cattle had greater probability of resistance to multiple classes of anti-microbials than ST and SN from humans (P < 0.0001). While these findings could be consistent with the belief that cattle are a source of resistant ST and SN for people, occurrence of profiles unique to cattle and not observed in temporally related human isolates indicates these profiles are circulating in cattle only. We used various measures to assess AMR diversity, conditional on the weighting of rare versus abundant profiles. AMR profile richness was greater in the common serovars from humans, although both source data sets were dominated by relatively few profiles. The greater profile richness in human Salmonella may be due to greater diversity of sources entering the human population compared to cattle or due to continuous evolution in the human environment. Also, AMR diversity was greater in clinical compared to non-clinical cattle Salmonella, and this could be due to anti-microbial selection pressure in diseased cattle that received treatment. The use of bootstrapping techniques showed that although there were shared profiles between humans and cattle, the expected and observed number of profiles was different, suggesting Salmonella and associated resistance from humans and cattle may not be wholly derived from a common population.

Citing Articles

Genomic Profiling of Antimicrobial Resistance Genes in Clinical Isolates from Cattle in the Texas Panhandle, USA.

Chung M, Dudley E, Kittana H, Thompson A, Scott M, Norman K Antibiotics (Basel). 2024; 13(9).

PMID: 39335016 PMC: 11428942. DOI: 10.3390/antibiotics13090843.


Characteristics of Nontyphoid Isolated from Human, Environmental, Animal, and Food Samples in Burkina Faso: A Systematic Review and Meta-Analysis.

Traore K, Aboubacar-Paraiso A, Bouda S, Ouoba J, Kagambega A, Roques P Antibiotics (Basel). 2024; 13(6).

PMID: 38927222 PMC: 11200751. DOI: 10.3390/antibiotics13060556.


Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses.

Afzal M, Hassan S, Sohail S, Camps I, Khan Y, Basharat Z BMC Microbiol. 2023; 23(1):25.

PMID: 36681806 PMC: 9860245. DOI: 10.1186/s12866-023-02756-6.


Phylogeny and Genomic Characterization of Clinical Salmonella enterica Serovar Newport Collected in Tennessee.

Hudson L, Andershock W, Qian X, Gibbs P, Orejuela K, Garman K Microbiol Spectr. 2023; 11(1):e0387622.

PMID: 36602313 PMC: 9927352. DOI: 10.1128/spectrum.03876-22.


Detection of Antimicrobial Resistance, Pathogenicity, and Virulence Potentials of Non-Typhoidal Isolates at the Yaounde Abattoir Using Whole-Genome Sequencing Technique.

Matchawe C, Machuka E, Kyallo M, Bonny P, Nkeunen G, Njaci I Pathogens. 2022; 11(5).

PMID: 35631023 PMC: 9148033. DOI: 10.3390/pathogens11050502.