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Use of biomarkers in depression diagnostics

机译:在抑郁症诊断中使用生物标志物

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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:抑郁是影响数百万人的主要和昂贵的全球健康负担。抑郁症的当前诊断屏幕依赖主观结构化访谈,但对探索抑郁生物标志物的客观方法越来越兴趣。在目前的论文中,我们对2012年至2016年发布的抑郁症生物标志物的最新文章进行了系统审查。制定并实施了筛查程序,以鉴定检验和比较对照(健康)和研究中的生物标志物水平的文章(诊断主要抑郁症)组。鉴定了来自三种研究制品的七个生物标志物:血管内皮生长因子(VEGF)和中性粒细胞明胶酶相关脂素(NGAL)等离子体;和柠檬酸盐,酪氨酸,海藻,苯丙氨酸和尿液中的丙氨酸。针对对照组的生物标志物水平计算95%的置信区间。对于所有生物标志物,这两组之间测量的生物标志物水平的差异对于所有生物标志物具有统计学意义,并且趋势与先前的研究一致。我们还指出,检测到的水平跨越生物标志物的广泛变化(高达几个数量级)。对于低级生物标志物,这可以在区域的区域呈现分析挑战,其中用于分析的所需仪器过于昂贵或者分析技术太复杂。对于科学界,这提出了追求分析方法的机会,并在识别抑郁症诊断的合适生物标志物的研究中追求分析。

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