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精神健康研究中生物标志物选择的研究人员指南。

The researcher's guide to selecting biomarkers in mental health studies.

机构信息

Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands.

出版信息

Bioessays. 2024 Oct;46(10):e2300246. doi: 10.1002/bies.202300246. Epub 2024 Sep 11.


DOI:10.1002/bies.202300246
PMID:39258367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11811959/
Abstract

Clinical mental health researchers may understandably struggle with how to incorporate biological assessments in clinical research. The options are numerous and are described in a vast and complex body of literature. Here we provide guidelines to assist mental health researchers seeking to include biological measures in their studies. Apart from a focus on behavioral outcomes as measured via interviews or questionnaires, we advocate for a focus on biological pathways in clinical trials and epidemiological studies that may help clarify pathophysiology and mechanisms of action, delineate biological subgroups of participants, mediate treatment effects, and inform personalized treatment strategies. With this paper we aim to bridge the gap between clinical and biological mental health research by (1) discussing the clinical relevance, measurement reliability, and feasibility of relevant peripheral biomarkers; (2) addressing five types of biological tissues, namely blood, saliva, urine, stool and hair; and (3) providing information on how to control sources of measurement variability.

摘要

临床心理健康研究人员可能会难以理解如何在临床研究中纳入生物学评估。可供选择的方法有很多,并在大量复杂的文献中有描述。在这里,我们提供了一些指南,以帮助那些希望在研究中纳入生物学测量的心理健康研究人员。除了关注通过访谈或问卷测量的行为结果外,我们还主张在临床试验和流行病学研究中关注生物途径,这有助于阐明病理生理学和作用机制,描绘参与者的生物学亚组,调节治疗效果,并为个性化治疗策略提供信息。通过本文,我们旨在通过以下三个方面来弥合临床和生物学心理健康研究之间的差距:(1)讨论相关外周生物标志物的临床相关性、测量可靠性和可行性;(2)讨论五种类型的生物组织,即血液、唾液、尿液、粪便和头发;(3)提供关于如何控制测量变异性来源的信息。

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本文引用的文献

[1]
MicroRNAs as Diagnostic Biomarkers and Predictors of Antidepressant Response in Major Depressive Disorder: A Systematic Review.

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[2]
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[3]
Advancing Clinical Psychiatry: Integration of Clinical and Omics Data Using Machine Learning.

Biol Psychiatry. 2023-12-15

[4]
A systematic review of hair cortisol in healthy adults measured using immunoassays: Methodological considerations and proposed reference values for research.

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[5]
Mitohormesis.

Cell Metab. 2023-11-7

[6]
Brain-derived extracellular vesicles: Potential diagnostic biomarkers for central nervous system diseases.

Psychiatry Clin Neurosci. 2024-2

[7]
The Reliability of Salivary Cortisol Compared to Serum Cortisol for Diagnosing Adrenal Insufficiency with the Gold Standard ACTH Stimulation Test in Children.

Children (Basel). 2023-9-19

[8]
Reliability of diurnal salivary cortisol metrics: A meta-analysis and investigation in two independent samples.

Compr Psychoneuroendocrinol. 2023-8-9

[9]
Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice.

Nat Commun. 2023-8-10

[10]
Inflammatory subgroups of schizophrenia and their association with brain structure: A semi-supervised machine learning examination of heterogeneity.

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