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- E-ISSN 2288-8985
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- E-ISSN2288-8985
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퇴행성신경질환의 진단을 위한 신경전달물질 대사체의 질량 분석법 동향
Analytical trends in mass spectrometry based metabolomics approaches of neurochemicals for diagnosis of neurodegenerative disorders
분석과학 / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2017, v.30 no.6, pp.355-378
https://doi.org/10.5806/AST.2017.30.6.355
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
(경희대학교)
이나경,
홍종기,
전원제,
정승우,
변재성,
&
이원웅.
(2017). 퇴행성신경질환의 진단을 위한 신경전달물질 대사체의 질량 분석법 동향. 분석과학, 30(6), 355-378, https://doi.org/10.5806/AST.2017.30.6.355
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초록
신경전달물질(neurochemicals)은 인체 내의 항상성유지와 인지 및 행동기능에 관여하므로 수많은퇴행성신경질환 진단에 활용할 수 있어 생물학적 시료 내에서 신경화학물질을 프로파일링할 수 있는 분석플랫폼 개발에 대한 관심이 증가하고 있다. 특히, 크로마토그래피 분리법과 결합된 질량분석법 기반의분석법은 대사경로 내의 신경전달물질을 프로파일링하는 데 널리 사용되어 오고 있다. 하지만 생물학적시료내 신경전달물질은 극미량으로 존재하며 화학적으로 불안정한 특징이 있어 정교한 시료전처리 과정과 고감도의 기기분석법의 개발이 수반되어야 한다. 따라서 본 총설 논문에서는 소변, 혈액, 뇌척수액과생체조직과 같은 다양한 생물학적 시료에서 신경전달물질에 대한 질량분석법 기반의 대사체학 접근법의분석 연구 경향에 대해서 논의할 예정이다. 이 논문은 향후 퇴행성신경질환의 진단, 예후예측과 치료를가능하게 하는 생체지표물질을 발굴을 위한 분석플랫폼 개발에 기여할 것으로 기대된다.
- keywords
- neurochemicals, profiling analysis, chromatographic separation, mass spectrometry, metabolomics approach
Abstract
Because neurochemicals are related to homeostasis and cognitive and behavioral functions in human body and because they enable the diagnosis of numerous neurodegenerative disorders, there has been increasing interest in the development of analytical platforms for neurochemical profiling in biological samples. In particular, mass spectrometry (MS)-based analytical methods combined with chromatographic separation have been widely used to profile neurochemicals in metabolic pathways. However, development of delicate sample preparation procedures and highly sensitive instrumental detection is necessary considering the trace levels and chemical instabilities of neurochemicals in biological samples. Therefore, in this review, analytical trends in MS-based metabolomics approaches to neurochemicals in multiple biological samples, such as urine, blood, CSF, and biological tissues, are discussed. This paper is expected to contribute to the development of an analytical platform to discover biomarkers that will aid diagnosis, prognosis, and treatment of neurodegenerative disorders.
- keywords
- neurochemicals, profiling analysis, chromatographic separation, mass spectrometry, metabolomics approach
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