Predictive microbial feature analysis in patients with depression after acute ischemic stroke

• Published in: Frontiers in aging neuroscience 2023-03, Vol.15, p.1116065-1116065
• Main Authors: Yao, Shanshan, Xie, Huijia, Wang, Ya, Shen, Nan, Chen, Qionglei, Zhao, Yiting, Gu, Qilu, Zhang, Junmei, Liu, Jiaming, Sun, Jing, Tong, Qiuling
• Format: Article
• Language: English
• Subjects: 16s rRNA; Akkermansia; Antibiotics; Biomarkers; Cognitive ability; Correlation analysis; Decision making; depression; Discriminant analysis; Education; Feces; Gender; gut microbiota; Intestinal microflora; Ischemia; Mann-Whitney U test; Mental depression; microbial signatures; Microbiota; Neuroscience; rRNA 16S; Stroke
• ISSN: 1663-4365; 1663-4365
• DOI: 10.3389/fnagi.2023.1116065

Post-stroke depression (PSD) is the most common emotional problem following a stroke, which requires early diagnosis to improve the prognosis. Gut microbiota plays important role in the pathological mechanisms of acute ischemic stroke and influences the outcome of patients. However, the relationship between PSD and gut microbiota remains unknown. Here, we explored whether the microbial signatures of gut microbiota in the patients with stroke could be an appropriate predictor of PSD. Fecal samples were collected from 232 acute ischemic stroke patients and determined by 16s rRNA sequencing. All patients then received 17-Hamilton Depression Rating Scale (HAMD-17) assessment 3 months after discharge, and were further divided into PSD group and non-PSD group. We analyzed the differences of gut microbiota between these groups. To identify gut microbial biomarkers, we then established microbial biomarker model. Our results showed that the composition of gut microbiota in the PSD patients differed significantly from that in non-PSD patients. The genus , , and were significantly increased in PSD patients compared to non-PSD, while the genus , and were significantly decreased. Correlation analyses displayed that , and were positively correlated with HAMD score, while was negatively correlated with HAMD score. The optimal microbial markers were determined, and the combination achieved an area under the curve (AUC) value of 0.705 to distinguish PSD from non-PSD. Our findings suggest that PSD patients had distinct gut microbiota compared to non-PSD patients, and explore the potential of microbial markers, which might provide clinical decision-making in PSD.