Hoisington Andrew J, Stearns-Yoder Kelly A, Stamper Christopher E, Simonetti Joseph A, Oslin David W, Brenner Lisa A
Veterans Affairs Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC), Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colo. (Hoisington, Stearns-Yoder, Stamper, Simonetti, Brenner); Military and Veteran Microbiome Consortium for Research and Education, Aurora, Colo. (Hoisington, Stearns-Yoder, Stamper, Brenner); Department of Physical Medicine and Rehabilitation (Hoisington, Stearns-Yoder, Stamper, Brenner), Division of Hospital Medicine, Department of Medicine (Simonetti), and Departments of Psychiatry and Neurology (Brenner), University of Colorado Anschutz Medical Campus, Aurora, Colo.; Department of Systems Engineering and Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio (Hoisington); Veterans Integrated Services Network 4 MIRECC, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia (Oslin); Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Oslin).
J Neuropsychiatry Clin Neurosci. 2024 Spring;36(2):151-159. doi: 10.1176/appi.neuropsych.20220221. Epub 2024 Jan 23.
The purpose of this study was to evaluate the influence of a new course of antidepressant monotherapy on gut and oral microbiomes and the relationship to depressive symptoms.
Longitudinal microbiome samples obtained from 10 U.S. veterans were analyzed. Baseline samples were taken before a new course of antidepressant monotherapy (either switching from a previous treatment or starting a new treatment). Targeted genomic sequencing of the microbiome samples was used to analyze changes in taxonomy and diversity across participants, medications, and medication class. Associations between these changes and Patient Health Questionnaire-9 (PHQ-9) scores were analyzed.
Taxonomic variability was observed across participants, with the individual being the main microbial community driver. In terms of the fecal microbiome, antidepressants were associated with shifts toward being less abundant and , , or being more abundant. Likewise, the composition of the oral microbiome was variable, with individual participants being the primary drivers of community composition. In the oral samples, the relative abundance of decreased after antidepressants were started. Increases in and decreases in were associated with lower PHQ-9 scores.
Antidepressants were found to influence fecal and oral microbiomes such that a new course of antidepressant monotherapy was associated with taxonomic alterations toward healthier states in both fecal and oral microbiomes, which were associated with decreases in depressive symptoms. Additional longitudinal research is required to increase understanding of microbiomes and symptom-based changes, with a particular focus on potential differences between medication classes and underlying mechanisms.
本研究旨在评估抗抑郁单药新疗程对肠道和口腔微生物群的影响及其与抑郁症状的关系。
对从10名美国退伍军人处获得的纵向微生物群样本进行分析。基线样本在抗抑郁单药新疗程之前采集(要么从先前治疗转换,要么开始新治疗)。微生物群样本的靶向基因组测序用于分析不同参与者、药物及药物类别间的分类学和多样性变化。分析这些变化与患者健康问卷-9(PHQ-9)评分之间的关联。
观察到不同参与者之间存在分类学变异性,个体是主要的微生物群落驱动因素。在粪便微生物群方面,抗抑郁药与向丰度降低以及 、 或 丰度增加的转变有关。同样,口腔微生物群的组成也存在差异,个体参与者是群落组成的主要驱动因素。在口腔样本中,开始使用抗抑郁药后, 的相对丰度降低。 增加和 减少与较低的PHQ-9评分相关。
发现抗抑郁药会影响粪便和口腔微生物群,因此抗抑郁单药新疗程与粪便和口腔微生物群向更健康状态的分类学改变有关,这与抑郁症状的减轻有关。需要更多纵向研究以增进对微生物群和基于症状变化的理解,尤其关注药物类别之间的潜在差异和潜在机制。