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2016 年至 2021 年间,中非寄生虫耐药相关的分子标志物。

Molecular markers associated with drug resistance in parasites in central Africa between 2016 and 2021.

机构信息

Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China.

出版信息

Front Public Health. 2023 Aug 30;11:1239274. doi: 10.3389/fpubh.2023.1239274. eCollection 2023.

Abstract

OBJECTIVES

The widespread occurrence of anti-malarial drug resistance threatens the current efforts to control malaria in African regions. Molecular marker surveillance helps to track the emergence and spread of drug-resistant malaria cases.

METHODS

A total of 237 infections imported from central Africa to Zhejiang Province, China, between 2016 and 2021, were investigated. Genomic DNA was extracted from blood samples of each patient and nested PCRs was used to detect molecular markers in , , and genes. The spatial and temporal distributions of the molecular markers were analyzed.

RESULTS

A limited polymorphism of was observed, including two nonsynonymous (D464E and K503E) and five synonymous mutations. Wild-type CVMNK of predominated (78.5%), whereas 19.5% of the samples harbored the mutant haplotype, CVIET. The point mutation Y184F and the single mutant haplotype NF of were the most frequently observed. The geographical distributions of the and haplotypes displayed distinct patterns, with the mutant haplotype of more common in Gabon (53.9%) and Congo (50.0%), and wild haplotypes of more frequently found in Cameroon, Angola, and Congo. The prevalence of wild-type CVMNK of increased from 68.5-74.6% in 2016-2017 to 81.8-87.5% in 2018-2021. The proportion of wild-type also increased from 27.1% in 2016 to 38.5% in 2019.

CONCLUSION

The geographical and temporal distribution of , , and polymorphisms in parasites imported from central Africa between 2016 and 2021 are demonstrated. Our data provide updated evidence that can be used to adjust anti-malarial drug policies in central Africa and China.

摘要

目的

抗疟药物耐药性的广泛出现威胁到非洲地区目前控制疟疾的努力。分子标记物监测有助于追踪耐药性疟疾病例的出现和传播。

方法

对 2016 年至 2021 年间从中非输入中国浙江省的 237 例感染进行了调查。从每位患者的血液样本中提取基因组 DNA,并使用巢式 PCR 检测 、 和 基因中的分子标记。分析了分子标记的时空分布。

结果

观察到 有限的多态性,包括两个非同义(D464E 和 K503E)和五个同义突变。野生型 CVMNK (78.5%)占主导地位,而 19.5%的样本携带突变单倍型 CVIET。最常观察到的点突变是 Y184F 和单突变单倍型 NF 。 和 单倍型的地理分布呈现出不同的模式,突变单倍型 在加蓬(53.9%)和刚果(50.0%)更为常见,而野生型 在喀麦隆、安哥拉和刚果更为常见。2016-2017 年,野生型 CVMNK (68.5-74.6%)的流行率增加到 2018-2021 年的 81.8-87.5%。2016 年,野生型 的比例从 27.1%增加到 2019 年的 38.5%。

结论

本研究表明,2016 年至 2021 年间从中非输入的疟原虫 、 和 基因多态性的地理和时间分布。我们的数据提供了更新的证据,可以用于调整中非和中国的抗疟药物政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d12/10499197/b483bd7bb6dc/fpubh-11-1239274-g001.jpg

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