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Use of biomarkers in depression diagnostics

机译:生物标志物在抑郁症诊断中的用途

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Depression is a major and costly global health burden that affects millions of people. The current diagnostic screen for depression relies on subjective structured interviews, but there is growing interest in exploring objective methods that involve depression biomarkers. In the current paper we perform a systematic review of recent articles on depression biomarkers that were published from 2012 to 2016. A screening procedure was developed and implemented to identify articles that have examined and compared biomarker levels in control (healthy) and study (diagnosed with major depressive disorder) groups. Seven biomarkers from three research articles were identified: vascular endothelial growth factor (VEGF) and Neutrophil gelatinase-associated lipocalin (NGAL) in plasma; and citrate, tyrosine, hippurate, phenylalanine, and alanine in urine. 95% confidence intervals were calculated for biomarker levels in control and study groups. Differences in measured biomarker levels between these two groups were statistically significant for all biomarkers, and trends were consistent with prior studies. We also note that the detected levels vary widely (up to several orders of magnitude) across biomarkers. For low-level biomarkers, this can present an analytical challenge in regions where the required instrument for analysis is too costly or the analytical technique is too complex to perform. For the scientific community, this presents an opportunity for pursuing analytical methods development in tandem with research on identifying suitable biomarkers for depression diagnostics.
机译:抑郁症是影响数百万人的主要且昂贵的全球健康负担。当前的抑郁症诊断屏幕依赖于主观的结构化访谈,但人们对探索涉及抑郁症生物标志物的客观方法的兴趣日益浓厚。在当前的论文中,我们对2012年至2016年发表的有关抑郁症生物标志物的最新文章进行了系统的综述。开发并实施了筛选程序,以鉴定在对照(健康)和研究中(诊断为)对生物标志物水平进行了检查和比较的文章。重度抑郁症)人群。从三篇研究文章中鉴定出七个生物标志物:血浆中的血管内皮生长因子(VEGF)和中性粒细胞明胶酶相关的脂钙素(NGAL)。以及尿液中的柠檬酸盐,酪氨酸,马尿酸盐,苯丙氨酸和丙氨酸。计算对照组和研究组中生物标志物水平的95%置信区间。两组之间测得的生物标志物水平的差异对所有生物标志物均具有统计学意义,且趋势与先前研究一致。我们还注意到,检测到的水平在生物标志物之间差异很大(高达几个数量级)。对于低水平的生物标志物,这可能会在所需的分析工具过于昂贵或分析技术过于复杂而无法执行的地区带来分析挑战。对于科学界来说,这为寻求分析方法的发展提供了机会,同时也为寻找适合抑郁症诊断的生物标志物的研究提供了机会。

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