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从人类和环境中分离出的产CTX-M型超广谱β-内酰胺酶大肠杆菌的分子特征分析

Molecular characterization of CTX-M type Extended Spectrum Beta Lactamase producing E. coli isolated from humans and the environment.

作者信息

George E A, Sankar S, Jesudasan M V, Sudandiradoss C, Nandagopal B

机构信息

Professor and Director, Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital and Research Centre, Sripuram, Vellore, Tamil Nadu, India.

出版信息

Indian J Med Microbiol. 2015 Feb;33 Suppl:73-9. doi: 10.4103/0255-0857.150896.

DOI:10.4103/0255-0857.150896
PMID:25657161
Abstract

PURPOSE

Escherichia coli is a common pathogen causing community- and hospital-acquired infections. The infections caused by the Extended Spectrum Beta Lactamase (ESBL) enzymes-producing E. coli hinder antibiotic treatment.

MATERIALS AND METHODS

Plasmid DNA samples were subjected to PCR specific for TEM, SHV and CTX-M genes obtained from 110 E. coli strains isolated from hospitalized patients, healthy individuals and environment in Vellore, South India .

RESULTS

Among the 110 isolates tested, 21.8% were positive for TEM and 2.7% positive for SHV and 91.8% positive for CTX-M. The proportion of CTX-M positive E. coli was not statistically different between the study groups. Nineteen of 20 strains were CTX-M-15 type and the other was CTX-M-14 type. The phylogenetic analysis of 19 strains clustered with the pandemic CTX-M-15-ST131 strain, indicating this as an evolving global problem for antibiotic therapy. The geomapping of samples indicated 'hotspot' areas of healthy individuals, patients and the environmental samples.

CONCLUSION

The spatial presentation of GIS mapping allowed identification of clustering among patients and healthy individuals and contaminated environmental points.

摘要

目的

大肠杆菌是引起社区获得性感染和医院获得性感染的常见病原体。产超广谱β-内酰胺酶(ESBL)的大肠杆菌所引起的感染阻碍了抗生素治疗。

材料与方法

对从印度南部韦洛尔的住院患者、健康个体和环境中分离出的110株大肠杆菌菌株提取的质粒DNA样本进行针对TEM、SHV和CTX-M基因的PCR检测。

结果

在检测的110株分离菌株中,21.8%的菌株TEM呈阳性,2.7%的菌株SHV呈阳性,91.8%的菌株CTX-M呈阳性。研究组之间CTX-M阳性大肠杆菌的比例无统计学差异。20株菌株中有19株为CTX-M-15型,另一株为CTX-M-14型。对19株菌株的系统发育分析表明它们与大流行的CTX-M-15-ST131菌株聚类,表明这是抗生素治疗中一个不断演变的全球性问题。样本的地理映射显示了健康个体、患者和环境样本的“热点”区域。

结论

地理信息系统映射的空间呈现有助于识别患者、健康个体和受污染环境点之间的聚类情况。

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