转化研究
重性抑郁障碍
心理学
医学
神经科学
认知
病理
作者
Max van Baalen,Lars van der Velden,Toon van der Gronde,Toine Pieters
标识
DOI:10.3389/fpsyt.2024.1463929
摘要
Objective The global incidence and burden of Major Depressive Disorder (MDD) are increasing annually, with current antidepressant treatments proving ineffective for 30-40% of patients. Biomolecular mechanisms within the microbiota-gut-brain axis (MGBA) may significantly contribute to MDD, potentially paving the way for novel treatment approaches. However, integrating the MGBA with the psychological and environmental aspects of MDD remains challenging. This manuscript aims to: 1) investigate the underlying biomolecular mechanisms of MDD using a modeling approach, and 2) integrate this knowledge into a comprehensive ‘spiraling risk factor model’ to develop a biopsychosocial translational research framework for the prevention and treatment of MDD. Methods For the first aim, a systematic review (PROSPERO registration) was conducted using PubMed, Embase, and Scopus to query literature published between 2016–2020, with select additional sources. A narrative review was performed for the second aim. Results In addition to genetics and neurobiology, research consistently indicates that hyperactivation of the HPA axis and a pro-inflammatory state are interrelated components of the MGBA and likely underlying mechanisms of MDD. Dysregulation of the MGBA, along with imbalances in mental and physical conditions, lifestyle factors, and pre-existing treatments, can trigger a downward spiral of stress and anxiety, potentially leading to MDD. Conclusions MDD is not solely a brain disorder but a heterogeneous condition involving biomolecular, psychological, and environmental risk factors. Future interdisciplinary research can utilize the integrated biopsychosocial insights from this manuscript to develop more effective lifestyle-focused multimodal treatment interventions, enhance diagnosis, and stimulate early-stage prevention of MDD. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/ , identifier CRD42020215412.
科研通智能强力驱动
Strongly Powered by AbleSci AI