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2019 - 2023年中国西南部贵州省人类源耐黏菌素分离株的基因组分析

Genome analysis of colistin-resistant isolates from human sources in Guizhou of southwestern China, 2019-2023.

作者信息

Wu Jingtong, Wen Yongxian, You Lv, Wei Xiaoyu, Wang Junhua, Zhu Ge, Li Shijun

机构信息

School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.

Laboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, China.

出版信息

Front Microbiol. 2025 Jan 29;16:1498995. doi: 10.3389/fmicb.2025.1498995. eCollection 2025.

DOI:10.3389/fmicb.2025.1498995
PMID:39944652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11813891/
Abstract

BACKGROUND

Colistin is commonly used as a last-resort antibiotic for multidrug resistance (MDR) bacterial infections. The emergence of colistin-resistant (CL-R) has become a significant public health concern. However, the prevalence of CL-R in Guizhou province remains unknown. Therefore, it is necessary to monitor CL-R in Guizhou and systematically elucidate their characteristics-related resistance, virulence, and molecular epidemiology to develop effective public health strategies against resistant pathogens.

METHODS

The CL-R isolates were identified from 933 isolates by antimicrobial resistance testing. To further evaluate the molecular epidemiology, the CL-R isolates underwent whole-genome sequencing (WGS) analysis followed by bioinformatic analysis.

RESULTS

A total of 43 CL-R isolates (4.6%) were identified from 933 isolates, of which 39 isolates being MDR (resistance to three or more classes of antimicrobials). WGS analysis revealed 34 antibiotic resistance genes (ARGs), and point mutations in the gene (D87Y and D87G) were identified in all 43 CL-R isolates. Only one isolate carried the mcr-1.1 gene, a known colistin resistance. All CL-R isolates were found to carry multidrug efflux pumps. Furthermore, the most common resistance gene was (40 out of 43), followed by (39 out of 43). The majority of CL-R isolates contained the virulence factor and a notable diversity in other virulence factors with varied functions. Core genome multilocus sequence typing (cgMLST) revealed that 43 CL-R isolates were divided into 19 cgSTs, with cgST179151 (10 out of 43) being the most prevalent. Additionally, the CL-R isolates exhibited genetic similarities with human isolates from Poland, Canada, and Zhejiang province. Among the 42 CL-R isolates lacking markers for CL-R, 12 single-nucleotide variations (SNVs) were observed in 24 isolates using genome-wide association study (GWAS) analysis, which was possibly associated with colistin resistance.

CONCLUSION

This study revealed that the majority of CL-R isolates in Guizhou province exhibited MDR, with complex resistance mechanisms, representing a significant public health challenge. The genetic similarities between isolates from Guizhou and other regions suggested the possibility of international transmission or shared reservoirs of resistance. These results highlighted the urgent need for enhanced surveillance and effective public health strategies to address the risks posed by these pathogens in Guizhou.

摘要

背景

黏菌素通常用作治疗多重耐药(MDR)细菌感染的最后一道抗生素防线。耐黏菌素(CL-R)细菌的出现已成为一个重大的公共卫生问题。然而,贵州省耐黏菌素细菌的流行情况仍不清楚。因此,有必要对贵州省的耐黏菌素细菌进行监测,并系统地阐明其与耐药性、毒力和分子流行病学相关的特征,以制定有效的公共卫生策略来对抗耐药病原体。

方法

通过抗菌药物耐药性检测从933株细菌中鉴定出耐黏菌素细菌分离株。为了进一步评估分子流行病学,对耐黏菌素细菌分离株进行全基因组测序(WGS)分析,随后进行生物信息学分析。

结果

从933株细菌中总共鉴定出43株耐黏菌素细菌分离株(4.6%),其中39株为多重耐药菌(对三类或更多类抗菌药物耐药)。全基因组测序分析揭示了34个抗生素耐药基因(ARGs),并且在所有43株耐黏菌素细菌分离株中均鉴定出基因中的点突变(D87Y和D87G)。仅1株分离株携带mcr-1.1基因,这是一种已知的耐黏菌素基因。所有耐黏菌素细菌分离株均被发现携带多药外排泵。此外,最常见的耐药基因是(43株中有40株),其次是(43株中有39株)。大多数耐黏菌素细菌分离株含有毒力因子,并且在其他功能各异的毒力因子中存在显著差异。核心基因组多位点序列分型(cgMLST)显示,43株耐黏菌素细菌分离株被分为19个cgSTs,其中cgST179151(43株中有10株)最为常见。此外,耐黏菌素细菌分离株与来自波兰、加拿大和浙江省的人类细菌分离株表现出遗传相似性。在42株缺乏耐黏菌素标记的耐黏菌素细菌分离株中,使用全基因组关联研究(GWAS)分析在24株分离株中观察到12个单核苷酸变异(SNVs),这可能与耐黏菌素耐药性有关。

结论

本研究表明,贵州省的大多数耐黏菌素细菌分离株表现出多重耐药性,耐药机制复杂,这是一个重大的公共卫生挑战。贵州分离株与其他地区分离株之间的遗传相似性表明存在国际传播或耐药性共享来源的可能性。这些结果凸显了加强监测和制定有效公共卫生策略以应对贵州这些病原体所带来风险的迫切需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/13492296d3a8/fmicb-16-1498995-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/cf0ad584eff0/fmicb-16-1498995-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/c44d2720b13d/fmicb-16-1498995-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/3ac76fe23eef/fmicb-16-1498995-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/a055e3e037c9/fmicb-16-1498995-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/d5ebbcfc482a/fmicb-16-1498995-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/13492296d3a8/fmicb-16-1498995-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/cf0ad584eff0/fmicb-16-1498995-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/c44d2720b13d/fmicb-16-1498995-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/3ac76fe23eef/fmicb-16-1498995-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/a055e3e037c9/fmicb-16-1498995-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/d5ebbcfc482a/fmicb-16-1498995-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699a/11813891/13492296d3a8/fmicb-16-1498995-g006.jpg

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