Mass spectrometry based metabolomics for small molecule metabolites mining and confirmation as potential biomarkers for schistosomiasis - case of the Okavango Delta communities in Botswana.

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Expert Review of Proteomics Pub Date : 2022-01-01 Epub Date: 2021-12-13 DOI:10.1080/14789450.2021.2012454
Sedireng M Ndolo, Matshediso Zachariah, Lebotse Molefi, Nthabiseng Phaladze, Kwenga F Sichilongo
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引用次数: 0

Abstract

Introduction: 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.

Area covered: 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.

Expert commentary: 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.

基于质谱的代谢组学小分子代谢物的挖掘和作为血吸虫病潜在生物标志物的确认——博茨瓦纳奥卡万戈三角洲社区病例
目前正在积极探索利用代谢组学方法在不同感染阶段的无创样本中鉴定血吸虫病生物标志物。关于人类标本中血吸虫病传统检测的文献有很好的记录。然而,基于质谱的最先进技术简化了生物标志物在诊断中的使用。本文综述了目前用于小分子代谢组学的分离科学和质谱分析方法。涉及领域:本文重点介绍了基于显微镜、免疫学和聚合酶链反应的传统血吸虫病诊断方法的演变。详尽的文献搜索代谢物开采,重点是分离科学和质谱,提出。对质谱法进行了比较分析,包括对未来的预测。专家评论:血吸虫病的质谱代谢组学将导致发现非侵入性人类样本的生物标志物。这些生物标志物,连同来自疟疾和昏睡病等其他被忽视的热带病的生物标志物,可以作为单个生物传感器芯片的阵列整合到智能手机中,以改善监测、监测和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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