Ndolo Sedireng M, Zachariah Matshediso, Molefi Lebotse, Phaladze Nthabiseng, Sichilongo Kwenga F
College of Open Schooling, Botswana Open University, Gaborone Regional Campus, Gaborone, Botswana.
School of Allied Health Professions, Faculty of Health Sciences, University of Botswana, Gaborone, Botswana.
Expert Rev Proteomics. 2022 Jan;19(1):61-71. doi: 10.1080/14789450.2021.2012454. Epub 2021 Dec 13.
Metabolomics for identifying schistosomiasis biomarkers in noninvasive samples at various infection stages is being actively explored. The literature on the traditional detection of schistosomiasis in human specimens is well documented. However, state-of-the-art technologies based on mass spectrometry have simplified the use of biomarkers for diagnostics. This review examines methods currently in use for the metabolomics of small molecules using separation science and mass spectrometry.
This article highlights the evolution of traditional diagnostic methods for schistosomiasis based on inter alia microscopy, immunology, and polymerase chain reaction. An exhaustive literature search of metabolite mining, focusing on separation science and mass spectrometry, is presented. A comparative analysis of mass spectrometry methods was undertaken, including a projection for the future.
Mass spectrometry metabolomics for schistosomiasis will lead to biomarker discovery for noninvasive human samples. These biomarkers, together with those from other neglected tropical diseases, such as malaria and sleeping sickness, could be incorporated as arrays on a single biosensor chip and inserted into smartphones, in order to improve surveillance, monitoring, and management.
目前正在积极探索代谢组学，以在不同感染阶段的非侵入性样本中识别血吸虫病生物标志物。关于人类样本中血吸虫病传统检测方法的文献记载详实。然而，基于质谱的先进技术简化了生物标志物在诊断中的应用。本综述探讨了目前使用分离科学和质谱进行小分子代谢组学分析的方法。
本文重点介绍了基于显微镜检查、免疫学和聚合酶链反应等的血吸虫病传统诊断方法的演变。对侧重于分离科学和质谱的代谢物挖掘进行了详尽的文献检索。对质谱方法进行了比较分析，包括对未来的展望。
用于血吸虫病的质谱代谢组学将有助于发现非侵入性人类样本的生物标志物。这些生物标志物与疟疾和昏睡病等其他被忽视热带病的生物标志物一起，可以整合到单个生物传感器芯片上，并插入智能手机中，以改善监测、监控和管理。
