Carreon Rudy Lozano, Rivas-Grajales Ana Maria, Murphy Nicholas, Mathew Sanjay J, Jha Manish K
Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
Michael E. Debakey VA Medical Center, Houston, TX, USA.
Adv Neurobiol. 2023;30:287-297. doi: 10.1007/978-3-031-21054-9_12.
Burden of psychiatric disorders is compounded by their wide prevalence as well as the limited efficacy of currently available treatments and the current approaches for prescribing these treatments. The selection of treatments continues to be subjective and often results in a trial-and-error approach. Emerging research suggests that biological markers (or biomarkers) can be used to develop precision medicine approaches for psychiatric disorders. Furthermore, the biomarkers also promise to elucidate the underlying pathophysiological mechanisms which in turn can be used to develop novel therapeutic treatments. In this chapter we have focused on mood disorders and reviewed studies on electroencephalography (EEG), magnetic resonance imaging (MRI), and blood-based biomarkers that can guide selection of one treatment versus another (treatment-selection biomarker) as well as biomarkers that can guide the development of novel therapeutics. These studies suggest that the use of objective physiological data is poised to alter the landscape of psychiatric diagnosis and treatment. However, practical and economic barriers remain as major hurdles. The key to finding such translational diagnostic and therapeutic biomarkers is a better understanding of the underlying pathophysiology, and despite the tremendous advances in neuroscience, it is clear there remains much left to be elucidated.
精神疾病的负担因广泛流行、现有治疗方法疗效有限以及当前这些治疗方法的处方方式而加重。治疗方法的选择仍然主观,往往导致试错法。新出现的研究表明,生物标志物可用于开发针对精神疾病的精准医学方法。此外,这些生物标志物还有望阐明潜在的病理生理机制,进而可用于开发新的治疗方法。在本章中,我们重点关注情绪障碍,并回顾了关于脑电图(EEG)、磁共振成像(MRI)以及基于血液的生物标志物的研究,这些生物标志物可指导一种治疗方法与另一种治疗方法的选择(治疗选择生物标志物)以及可指导新疗法开发的生物标志物。这些研究表明,使用客观生理数据有望改变精神疾病诊断和治疗的局面。然而,实际和经济障碍仍然是主要障碍。找到此类转化诊断和治疗生物标志物的关键在于更好地理解潜在的病理生理学,尽管神经科学取得了巨大进展,但显然仍有许多有待阐明。