The Clinical Utility of Biomarkers in Diagnosing Major Depressive Disorder in Adults: A Systematic Review of Literature From 2013 to 2023.

IF 1.8 4区 医学 Q3 PSYCHIATRY
Psychiatry Investigation Pub Date : 2025-04-01 Epub Date: 2025-04-11 DOI:10.30773/pi.2024.0152
Shi-Han Ang, Roger C Ho, Roger S McIntyre, Zhisong Zhang, Soon-Kiat Chang, Kayla M Teopiz, Cyrus Sh Ho
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引用次数: 0

Abstract

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults.

Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013-2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis.

Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimaging/neurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory-and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimaging/neurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD.

Conclusion: A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

生物标志物在成人重度抑郁症诊断中的临床应用:2013 - 2023年文献系统回顾
目的:可客观用于诊断成人重度抑郁症(MDD)的生物标志物的种类和疗效尚不清楚。本系统综述旨在识别和评估各种用于诊断成人重度抑郁症的客观标志物。方法:检索策略通过PubMed和PsycINFO在过去10年(2013-2023)中获取支持使用生物标志物诊断重度抑郁症的最新可用证据。数据通过叙事综合的方式报告。结果:共纳入42项研究。根据以下指标综合分析结果:血液、神经影像学/神经生理学、尿液、皮肤、听觉、声乐、脑脊液和组合,并根据其敏感性/特异性和曲线下面积值进行评估。血液(MYT1基因)、神经影像学/神经生理(5-HT1A自身受体在中叶和背叶结合)、尿液(联合白蛋白、AMBP、HSPB、APOA1)、脑脊液(神经元特异性烯醇酶、microRNA)生物标志物的最佳预测指标与MDD的病理生理密切相关。结论:可用于诊断MDD的生物标志物种类繁多,其中表现最好的生物标志物与MDD的病理生理有内在联系。未来研究的潜力在于调查通过机器学习方法确定的表现最好的生物标志物的联合敏感性,并建立这些生物标志物与MDD之间的因果关系。
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来源期刊
CiteScore
4.10
自引率
3.70%
发文量
105
审稿时长
6-12 weeks
期刊介绍: The Psychiatry Investigation is published on the 25th day of every month in English by the Korean Neuropsychiatric Association (KNPA). The Journal covers the whole range of psychiatry and neuroscience. Both basic and clinical contributions are encouraged from all disciplines and research areas relevant to the pathophysiology and management of neuropsychiatric disorders and symptoms, as well as researches related to cross cultural psychiatry and ethnic issues in psychiatry. The Journal publishes editorials, review articles, original articles, brief reports, viewpoints and correspondences. All research articles are peer reviewed. Contributions are accepted for publication on the condition that their substance has not been published or submitted for publication elsewhere. Authors submitting papers to the Journal (serially or otherwise) with a common theme or using data derived from the same sample (or a subset thereof) must send details of all relevant previous publications and simultaneous submissions. The Journal is not responsible for statements made by contributors. Material in the Journal does not necessarily reflect the views of the Editor or of the KNPA. Manuscripts accepted for publication are copy-edited to improve readability and to ensure conformity with house style.
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