Suppr超能文献

通过对德黑兰女性宫颈标本中ompA基因进行序列分析来评估基因型

Evaluation of Genotypes in Endocervical Specimens by Sequence Analysis of ompA Gene among Women in Tehran.

作者信息

Rajabpour Mohammadreza, Emamie Amir Darb, Pourmand Mohammad Reza

机构信息

Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

J Trop Med. 2023 Jul 31;2023:8845565. doi: 10.1155/2023/8845565. eCollection 2023.

Abstract

Tehran's actual prevalence of (CT) and its genotypes are still unclear. Molecular typing of CT strains can provide essential epidemiological knowledge and contribute to improved control measures. In this study, we aimed to determine the prevalence of CT and its genotypes in the endocervical infections of females who attended the gynecology and infertility clinics in Tehran. A total of 291 women were tested for chlamydial infection by in-house PCR using specific primers for the CT cryptic plasmid. Nested PCR for amplification of the ompA gene in positive samples was carried out, genotyping was performed by sequencing this gene, and further phylogenetic analysis was conducted. Sexual infection by CT was observed in 10.3% (30/291) of the subjects, and the mean age of patients was 30.4. The ompA gene was sequenced in 27 samples, revealing E genotypes 40.7%, ( = 11), F 25.9%, ( = 7), G 18.5%, ( = 5), D 11.1%, ( = 3), and K 3.7%, ( = 1). This study emphasizes the importance of the diversity among CT genotypes in our studied population and the need for wide-screening the neglected bacterial infection among women in Tehran.

摘要

德黑兰沙眼衣原体(CT)的实际流行情况及其基因型仍不清楚。CT菌株的分子分型可提供重要的流行病学知识,并有助于改进控制措施。在本研究中,我们旨在确定在德黑兰妇科和不孕症诊所就诊的女性宫颈内感染中CT及其基因型的流行情况。使用针对CT隐蔽质粒的特异性引物,通过内部聚合酶链反应(PCR)对总共291名女性进行衣原体感染检测。对阳性样本进行巢式PCR扩增ompA基因,通过对该基因进行测序进行基因分型,并进行进一步的系统发育分析。在10.3%(30/291)的受试者中观察到CT性感染,患者的平均年龄为30.4岁。对27个样本中的ompA基因进行测序,结果显示E基因型占40.7%(n = 11),F基因型占25.9%(n = 7),G基因型占18.5%(n = 5),D基因型占11.1%(n = 3),K基因型占3.7%(n = 1)。本研究强调了我们所研究人群中CT基因型多样性的重要性,以及对德黑兰女性中被忽视的细菌感染进行广泛筛查的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17ca/10406551/63e887580f11/JTM2023-8845565.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验