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使用基质辅助激光解吸电离飞行时间质谱法确定非洲热带地区疟疾媒介的年龄结构和胎次状况

Age structure and parity status determination of Afrotropical malaria vectors using MALDI-TOF MS.

作者信息

Tuwei Mercy, Karisa Jonathan, Kiuru Caroline, Ondieki Zedekiah, Odongo Tobias, Muturi Martha, Mure Festus, Otieno Bruno, Okoko Miguel, Bartilol Brian, Gona Rehema, Ominde Kelly, Constantino Luis, Cole Gildo, Anastácio Trisa, Candrinho Baltazar, Armazia Romário, Alves Claudia, Ramaita Edith, Rono Martin, Mwangangi Joseph, Mbogo Charles, Saute Francisco, Chaccour Carlos, Wanjiku Caroline, Maia Marta

机构信息

Kenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.

Centro de Investigação em Saúde de Manhiça, Bairro Cambeve. Rua 12, Distrito da Manhiça, 1929, Maputo, Mozambique.

出版信息

Sci Rep. 2025 May 6;15(1):15848. doi: 10.1038/s41598-025-00935-1.

Abstract

The age structure of a mosquito population helps estimate the proportion of vectors capable of transmitting malaria. Many malaria transmission models rely on mosquito longevity as key parameter. However, these are rarely measured in the field due to lack of a reliable and scalable age-grading method. An accurate method could improve predictions of malaria risk and the impact assessment of interventions. This study aimed to investigate the use of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) for malaria vector age-grading using insectary-reared and wild-caught mosquitoes. Anopheles gambiae s.s. mosquitoes were reared in the insectary to different known physiological and chronological ages to evaluate if MALDI-TOF MS could be used to distinguish between different age groups. Wild mosquitoes were collected from Mozambique and Kenya and dissected to determine their parity status. Reference spectra were obtained from mosquito's cephalothorax and used to create predictive databases which were validated using independent samples. MALDI-TOF MS identified the physiological and chronological age of insectary-reared mosquitoes with 94.52% and 77% accuracy respectively. Field-collected mosquitoes were primarily An. funestus s.s. and An. gambiae s.s. Parity prediction accuracy was between 81% and 87%. MALDI-TOF MS was able to distinguish and differentiate mosquitoes based on their age structure (chronological and physiological) and parity status.

摘要

蚊子种群的年龄结构有助于估算能够传播疟疾的媒介比例。许多疟疾传播模型将蚊子寿命作为关键参数。然而,由于缺乏可靠且可扩展的年龄分级方法,这些参数在野外很少被测量。一种准确的方法可以改善对疟疾风险的预测以及干预措施的影响评估。本研究旨在调查使用基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)对饲养在昆虫饲养室的蚊子和野外捕获的蚊子进行疟疾媒介年龄分级的情况。将冈比亚按蚊在昆虫饲养室饲养至不同的已知生理年龄和实际年龄,以评估MALDI-TOF MS是否可用于区分不同年龄组。从莫桑比克和肯尼亚收集野生蚊子并解剖以确定其孕卵状态。从蚊子的头胸部获得参考光谱,并用于创建预测数据库,该数据库使用独立样本进行验证。MALDI-TOF MS分别以94.52%和77%的准确率识别出饲养在昆虫饲养室的蚊子的生理年龄和实际年龄。野外收集的蚊子主要是嗜人按蚊和冈比亚按蚊。孕卵预测准确率在81%至87%之间。MALDI-TOF MS能够根据蚊子的年龄结构(实际年龄和生理年龄)和孕卵状态进行区分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4acc/12055968/64a3a66ddc8a/41598_2025_935_Fig1_HTML.jpg

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