异戊酸在益生菌和抗抑郁药的相互作用中起关键作用吗?随机临床试验的二次分析。

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-05-27 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.05.035
Oliwia Gawlik-Kotelnicka, Marharyta Sobczak, Joanna Palma, Marta Popławska, Karolina Skonieczna-Żydecka, Maksymilian Plewka, Rafał Pawliczak, Dominik Strzelecki
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引用次数: 0

摘要

背景:生态失调似乎是情绪障碍复杂病理生理的重要因素,而短链脂肪酸(SCFAs)是细菌发酵在结肠中产生的主要代谢物,已被发现在肠-脑通讯中发挥作用。益生菌被证明是有效的管理和减轻抑郁症状,特别是作为一个附加方案。本研究旨在评估抑郁症患者补充益生菌后粪便SCFAs水平的变化,这取决于基线抗抑郁治疗。方法:这是一项双臂、平行组、随机、双盲、对照试验的二次分析。研究人员分析了65名参与者的数据。干预包括益生菌制剂(helveticus Rosell®-52和长双歧杆菌Rosell®-175;R0052/R0175)或安慰剂,为期60天。然后,根据抗抑郁药物的类型进行分层。采用气相色谱法测定粪便SCFAs。评估干预前的社会人口统计学、临床和实验室数据。结果:与安慰剂相比,与非选择性血清素再摄取抑制剂抗抑郁药(非ssris)一起使用益生菌可降低异戊酸水平,效果显著(p = )。019, |r|=.653),但不适用于SSRIs (p = )。572, |r|=.109)或单独应用(p = )。404年,r | | = .182)。在益生菌加非ssris组中,异戊酸水平随着抑郁症的改善而下降。结论:R0052/R0175作为非ssri类抗抑郁药的附加药物可能部分通过降低异戊酸水平来提供抗抑郁作用。需要更多的研究和更大的样本量来研究scfa作为益生菌和药物抗抑郁作用的中介的作用。ClinicalTrials.gov识别码:NCT04756544。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does isovaleric acid play a key role in the interaction between probiotics and antidepressants? A secondary analysis of a randomized clinical trial.

Background: Dysbiosis appears to be a significant contributor to the complex pathophysiology of mood disorders, and short-chain fatty acids (SCFAs), the main metabolites produced in the colon by bacterial fermentation, have been found to play a role in gut-brain communication. Probiotics were shown to be effective in managing and alleviating depressive symptoms, especially as an add-on protocol. This study aimed to assess the change in fecal SCFAs levels after supplementation with probiotics in patients with depression, depending on baseline antidepressant treatment.

Methods: This was a secondary analysis of a two-arm, parallel-group, randomized, double-blind, controlled trial. Data from 65 participants were analyzed. The intervention included probiotic formulation (Lactobacillus helveticus Rosell®-52 and Bifidobacterium longum Rosell®-175; R0052/R0175) or placebo over a 60-day period. Then, stratification was performed by the type of antidepressant medications. Fecal SCFAs were measured by the gas chromatography method. Pre-intervention socio-demographic, clinical, and laboratory data were assessed.

Results: Probiotics used decreased the levels of isovaleric acid compared with placebo when administered with non-selective serotonin reuptake inhibitors antidepressants (non-SSRIs) with large effect size (p = .019, |r|=.653), but not when used with SSRIs (p = .572, |r|=.109) or applied alone (p = .404, |r|=.182). Isovalerate levels decreased as depression improved in the probiotic plus non-SSRIs group. Conclusions: R0052/R0175 as an add-on to non-SSRI antidepressants may offer antidepressant action partly through the decrease in isovaleric acid levels. More research with a larger sample size is needed to study SCFAs' role as a mediator of antidepressant action of both probiotics and medications. ClinicalTrials.gov identifier: NCT04756544.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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