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本文引用的文献

1
Structural investigation of tumor differentiation factor.肿瘤分化因子的结构研究。
Biotechnol Appl Biochem. 2012 Nov-Dec;59(6):445-50. doi: 10.1002/bab.1046. Epub 2012 Nov 20.
2
Direct identification of bacteria causing urinary tract infections by combining matrix-assisted laser desorption ionization-time of flight mass spectrometry with UF-1000i urine flow cytometry.采用基质辅助激光解吸电离飞行时间质谱与 UF-1000i 尿流细胞仪相结合直接鉴定尿路感染细菌。
J Microbiol Methods. 2013 Mar;92(3):231-5. doi: 10.1016/j.mimet.2012.12.016. Epub 2013 Jan 7.
3
Tissue biomarkers of breast cancer and their association with conventional pathologic features.乳腺癌的组织生物标志物及其与常规病理特征的关系。
Br J Cancer. 2013 Feb 5;108(2):351-60. doi: 10.1038/bjc.2012.552. Epub 2013 Jan 8.
4
Altered functional protein networks in the prefrontal cortex and amygdala of victims of suicide.自杀受害者前额叶皮层和杏仁核中功能蛋白网络的改变。
PLoS One. 2012;7(12):e50532. doi: 10.1371/journal.pone.0050532. Epub 2012 Dec 6.
5
Systems biology, bioinformatics, and biomarkers in neuropsychiatry.系统生物学、生物信息学和神经精神医学中的生物标志物。
Front Neurosci. 2012 Dec 24;6:187. doi: 10.3389/fnins.2012.00187. eCollection 2012.
6
The role of proteomics in prostate cancer research: biomarker discovery and validation.蛋白质组学在前列腺癌研究中的作用:生物标志物的发现和验证。
Clin Biochem. 2013 Apr;46(6):524-38. doi: 10.1016/j.clinbiochem.2012.12.012. Epub 2012 Dec 22.
7
Development of a liquid chromatography tandem mass spectrometry method for iothalamate measurement to assess renal function for potential kidney donation.开发一种用于碘海醇测量的液相色谱串联质谱法,以评估潜在的肾脏捐献者的肾功能。
Clin Chim Acta. 2013 May;420:104-8. doi: 10.1016/j.cca.2012.12.003. Epub 2012 Dec 20.
8
Breast cancer biomarkers: proteomic discovery and translation to clinically relevant assays.乳腺癌生物标志物:蛋白质组学发现及向临床相关检测方法的转化。
Expert Rev Proteomics. 2012 Dec;9(6):599-614. doi: 10.1586/epr.12.62.
9
Current status of matrix-assisted laser desorption ionisation-time of flight mass spectrometry in the clinical microbiology laboratory.基质辅助激光解吸电离飞行时间质谱技术在临床微生物学实验室中的应用现状。
Pathology. 2013 Jan;45(1):4-17. doi: 10.1097/PAT.0b013e32835be408.
10
Expanded newborn screening and confirmatory follow-up testing for inborn errors of metabolism detected by tandem mass spectrometry.串联质谱技术检测到的先天性代谢缺陷的扩展新生儿筛查和确认性随访检测。
Clin Chem Lab Med. 2013 Jan;51(1):157-76. doi: 10.1515/cclm-2012-0472.

用于检测潜在精神疾病生物标志物的质谱分析

Mass spectrometry for the detection of potential psychiatric biomarkers.

作者信息

Ngounou Wetie Armand G, Sokolowska Izabela, Wormwood Kelly, Beglinger Katherine, Michel Tanja Maria, Thome Johannes, Darie Costel C, Woods Alisa G

机构信息

Biochemistry and Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA.

Department of Psychiatry, University of Rostock, Rostock, Gehlsheimer Straße 20, D-18147 Germany.

出版信息

J Mol Psychiatry. 2013 Jun 5;1(1):8. doi: 10.1186/2049-9256-1-8. eCollection 2013.

DOI:10.1186/2049-9256-1-8
PMID:25408901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4223884/
Abstract

The search for molecules that can act as potential biomarkers is increasing in the scientific community, including in the field of psychiatry. The field of proteomics is evolving and its indispensability for identifying biomarkers is clear. Among proteomic tools, mass spectrometry is the core technique for qualitative and quantitative identification of protein markers. While significant progress has been made in the understanding of biomarkers for neurodegenerative diseases such as Alzheimer's disease, multiple sclerosis and Parkinson's disease, psychiatric disorders have not been as extensively investigated. Recent and successful applications of mass spectrometry-based proteomics in fields such as cardiovascular disease, cancer, infectious diseases and neurodegenerative disorders suggest a similar path for psychiatric disorders. In this brief review, we describe mass spectrometry and its use in psychiatric biomarker research and highlight some of the possible challenges of undertaking this type of work. Further, specific examples of candidate biomarkers are highlighted. A short comparison of proteomic with genomic methods for biomarker discovery research is presented. In summary, mass spectrometry-based techniques may greatly facilitate ongoing efforts to understand molecular mechanisms of psychiatric disorders.

摘要

在科学界,包括精神病学领域,寻找可作为潜在生物标志物的分子的研究日益增多。蛋白质组学领域不断发展,其在识别生物标志物方面的不可或缺性显而易见。在蛋白质组学工具中,质谱分析法是定性和定量鉴定蛋白质标志物的核心技术。虽然在理解阿尔茨海默病、多发性硬化症和帕金森病等神经退行性疾病的生物标志物方面已取得重大进展,但精神疾病尚未得到如此广泛的研究。基于质谱的蛋白质组学最近在心血管疾病、癌症、传染病和神经退行性疾病等领域的成功应用,为精神疾病研究指明了一条相似的道路。在这篇简短的综述中,我们描述了质谱分析法及其在精神疾病生物标志物研究中的应用,并强调了开展这类工作可能面临的一些挑战。此外,还突出了候选生物标志物的具体实例。本文还对蛋白质组学和基因组学用于生物标志物发现研究的方法进行了简要比较。总之,基于质谱的技术可能极大地促进目前为理解精神疾病分子机制所做的努力。