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应用第二代测序技术对小外显子基因进行克氏锥虫分子基因分型,揭示来自墨西哥尤卡坦的恰加斯病患者存在多种寄生虫离散型单位感染。

Molecular Genotyping of Trypanosoma cruzi by Next-Generation Sequencing of the Mini-Exon Gene Reveals Infections With Multiple Parasite Discrete Typing Units in Chagasic Patients From Yucatan, Mexico.

机构信息

Laboratorio de Parasitologia, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi," Universidad Autonoma de Yucatan, Merida, Mexico.

Department of Tropical Medicine, School of Public Health and Tropical Medicine.

出版信息

J Infect Dis. 2019 May 24;219(12):1980-1988. doi: 10.1093/infdis/jiz047.

Abstract

The diversity of Trypanosoma cruzi parasites infecting humans is still poorly understood. We used deep sequencing to analyze this diversity in chagasic patients from Mexico. Such information is crucial to understand transmission cycles and to identify determinants of epidemiological and clinical characteristics of the infection. We analyzed parasite mini-exon spliced-leader sequences following amplification of blood DNA by polymerase chain reaction and deep sequencing. Chagasic patients presented a diverse assemblage of parasite haplotypes covering TcI, TcII, TcV, and TcVI discrete typing units, with a mean (±SEM) of 3.9 ± 0.7 haplotypes/patient, and 47% harbored infections with multiple discrete typing units. Most parasite haplotypes from patients were identical or similar to those for Triatoma dimidiata from the same region, confirming their local circulation. Infection with multiple T. cruzi strains may influence serological diagnostic test results and disease progression in patients and should be taken into account to evaluate associations between parasite diversity and clinical aspects of T. cruzi infections.

摘要

人类感染的克氏锥虫寄生虫多样性仍知之甚少。我们使用深度测序技术分析了来自墨西哥的恰加斯病患者的这种多样性。此类信息对于了解传播周期以及确定感染的流行病学和临床特征的决定因素至关重要。我们通过聚合酶链反应和深度测序分析了血液 DNA 扩增后的寄生虫小外显子拼接领导序列。恰加斯病患者呈现出多样化的寄生虫单倍型组合,涵盖了 TcI、TcII、TcV 和 TcVI 离散型单位,平均(±SEM)每个患者有 3.9 ± 0.7 个单倍型,47%的患者携带多种离散型单位的感染。来自患者的大多数寄生虫单倍型与同一地区的三角锥虫相似或相同,证实了它们的本地循环。感染多种克氏锥虫株可能会影响患者的血清学诊断试验结果和疾病进展,应考虑将寄生虫多样性与克氏锥虫感染的临床方面之间的关联进行评估。

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