Structural Change of Gut Microbiota in Patients with Post-Stroke Comorbid Cognitive Impairment and Depression and Its Correlation with Clinical Features
Structural Change of Gut Microbiota in Patients with Post-Stroke Comorbid Cognitive Impairment and Depression and Its Correlation with Clinical Features
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DOI：
10.3233/jad-200315
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发表时间：
2020-01-01
影响因子：
4
通讯作者：
Sun, Jing
中科院分区：
文献类型：
--
作者：
Ling, Yi;Gu, Qilu;Sun, Jing
背景：脑卒中后认知障碍和抑郁共病（PSCCID）是急性脑卒中后严重的神经精神并发症。肠道微生物群失调与许多精神疾病有关。肠道菌群组成的改变可能在PSCCID. Objective患者中起关键作用：我们旨在描述PSCCID. Method患者的微生物谱，共招募了175例脑卒中患者。通过16S核糖体RNA Miseq测序确定患者肠道细菌群落的组成，并通过重建未观察状态进行群落的系统发育调查，以证明肠道微生物群的功能改变。我们进一步确定了PSCCID的特征肠道菌群使用线性判别分析的效果size.Results：PSCCID患者表现出增加丰度的变形菌，包括γ-变形菌，肠杆菌目，肠杆菌科，和减少丰度的几个短链脂肪酸生产细菌相比，非PSCCID患者。γ-变形菌和肠杆菌科的丰度与MoCA评分呈负相关。此外，京都基因和基因组百科全书结果证明了PSCCID患者中聚糖生物合成和代谢的直系同源物富集，氨基酸代谢的直系同源物减少。重要的是，特征性肠道菌群被确定，并实现了0.847的曲线下面积between the two group.Conclusion：在这项研究中，我们的特点PSCCID患者的肠道菌群，并揭示了改变肠道菌群与临床参数的相关性，采取了进一步的非侵入性诊断生物标志物PSCCID从粪便样本。
Background: Post-stroke comorbid cognitive impairment and depression (PSCCID) is a severe neuropsychiatric complication after acute stroke. Gut microbiota dysbiosis is associated with many psychiatric disorders. Alterations in the composition of gut microbiota may serve as a critical role in patients with PSCCID.Objective: We aimed to characterize the microbial profiles of patients with PSCCID.Method: A total of 175 stroke patients were recruited in the study. The composition of gut bacterial communities of patients was determined by 16S ribosomal RNA Miseq sequencing, and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States was used to demonstrate the functional alterations of gut microbiota. We further identified the characteristic gut microbiota of PSCCID using linear discriminant analysis effect size.Results: Patients with PSCCID exhibited an increased abundance of Proteobacteria, including Gammaproteobacteria, Enterobacteriales, and Enterobacteriaceae, and a decreased abundance of several short-chain fatty acids-producing bacteria compared with non-PSCCID patients. The abundance of Gammaproteobacteria and Enterobacteriaceae showed negative correlations with the MoCA score. Moreover, the Kyoto Encyclopedia of Genes and Genomes results demonstrated the enriched orthologs of glycan biosynthesis and metabolism and decreased orthologs of amino acid metabolism in PSCCID patients. Importantly, the characteristic gut microbiota was identified and achieved an area under the curve of 0.847 between the two groups.Conclusion: In this study, we characterized the gut microbiota of PSCCID patients, and revealed the correlations of the altered gut microbiota with clinical parameters, which took a further step towards non-invasive diagnostic biomarkers for PSCCID from fecal samples.