The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders
Background: Gut microbiota have been associated with many psychiatric disorders. However, the changes in the composition of gut microbiota in patients with post-stroke sleep disorders (PSSDs) remain unclear. Here, we determined the gut microbial signature of PSSD patients. Methods: Fecal samples of...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/13/18/2970 |
| _version_ | 1797580611768025088 |
|---|---|
| author | Huijia Xie Jiaxin Chen Qionglei Chen Yiting Zhao Jiaming Liu Jing Sun Xuezhen Hu |
| author_facet | Huijia Xie Jiaxin Chen Qionglei Chen Yiting Zhao Jiaming Liu Jing Sun Xuezhen Hu |
| author_sort | Huijia Xie |
| collection | DOAJ |
| description | Background: Gut microbiota have been associated with many psychiatric disorders. However, the changes in the composition of gut microbiota in patients with post-stroke sleep disorders (PSSDs) remain unclear. Here, we determined the gut microbial signature of PSSD patients. Methods: Fecal samples of 205 patients with ischemic stroke were collected within 24 h of admission and were further analyzed using 16 s RNA gene sequencing followed by bioinformatic analysis. The diversity, community composition, and differential microbes of gut microbiota were assessed. The outcome of sleep disorders was determined by the Pittsburgh Sleep Quality Index (PSQI) at 3 months after admission. The diagnostic performance of microbial characteristics in predicting PSSDs was assessed by receiver operating characteristic (ROC) curves. Results: Our results showed that the composition and structure of microbiota in patients with PSSDs were different from those without sleep disorders (PSNSDs). Moreover, the linear discriminant analysis effect size (LEfSe) showed significant differences in gut-associated bacteria, such as species of <i>Streptococcus</i>, <i>Granulicatella</i>, <i>Dielma</i>, <i>Blautia</i>, <i>Paeniclostridium,</i> and <i>Sutterella</i>. We further managed to identify the optimal microbiota signature and revealed that the predictive model with eight operational-taxonomic-unit-based biomarkers achieved a high accuracy in PSSD prediction (AUC = 0.768). <i>Blautia</i> and <i>Streptococcus</i> were considered to be the key microbiome signatures for patients with PSSD. Conclusions: These findings indicated that a specific gut microbial signature was an important predictor of PSSDs, which highlighted the potential of microbiota as a promising biomarker for detecting PSSD patients. |
| first_indexed | 2024-03-10T22:52:13Z |
| format | Article |
| id | doaj.art-7b357d81e39a4ba2a40d2f3deca17f27 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T22:52:13Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-7b357d81e39a4ba2a40d2f3deca17f272023-11-19T10:14:07ZengMDPI AGDiagnostics2075-44182023-09-011318297010.3390/diagnostics13182970The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep DisordersHuijia Xie0Jiaxin Chen1Qionglei Chen2Yiting Zhao3Jiaming Liu4Jing Sun5Xuezhen Hu6Department of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Emergency Medicine, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaBackground: Gut microbiota have been associated with many psychiatric disorders. However, the changes in the composition of gut microbiota in patients with post-stroke sleep disorders (PSSDs) remain unclear. Here, we determined the gut microbial signature of PSSD patients. Methods: Fecal samples of 205 patients with ischemic stroke were collected within 24 h of admission and were further analyzed using 16 s RNA gene sequencing followed by bioinformatic analysis. The diversity, community composition, and differential microbes of gut microbiota were assessed. The outcome of sleep disorders was determined by the Pittsburgh Sleep Quality Index (PSQI) at 3 months after admission. The diagnostic performance of microbial characteristics in predicting PSSDs was assessed by receiver operating characteristic (ROC) curves. Results: Our results showed that the composition and structure of microbiota in patients with PSSDs were different from those without sleep disorders (PSNSDs). Moreover, the linear discriminant analysis effect size (LEfSe) showed significant differences in gut-associated bacteria, such as species of <i>Streptococcus</i>, <i>Granulicatella</i>, <i>Dielma</i>, <i>Blautia</i>, <i>Paeniclostridium,</i> and <i>Sutterella</i>. We further managed to identify the optimal microbiota signature and revealed that the predictive model with eight operational-taxonomic-unit-based biomarkers achieved a high accuracy in PSSD prediction (AUC = 0.768). <i>Blautia</i> and <i>Streptococcus</i> were considered to be the key microbiome signatures for patients with PSSD. Conclusions: These findings indicated that a specific gut microbial signature was an important predictor of PSSDs, which highlighted the potential of microbiota as a promising biomarker for detecting PSSD patients.https://www.mdpi.com/2075-4418/13/18/2970sleep disordersgut microbiotaacute ischemic strokepredictionbiomarkers |
| spellingShingle | Huijia Xie Jiaxin Chen Qionglei Chen Yiting Zhao Jiaming Liu Jing Sun Xuezhen Hu The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders Diagnostics sleep disorders gut microbiota acute ischemic stroke prediction biomarkers |
| title | The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders |
| title_full | The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders |
| title_fullStr | The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders |
| title_full_unstemmed | The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders |
| title_short | The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders |
| title_sort | diagnostic value of gut microbiota analysis for post stroke sleep disorders |
| topic | sleep disorders gut microbiota acute ischemic stroke prediction biomarkers |
| url | https://www.mdpi.com/2075-4418/13/18/2970 |
| work_keys_str_mv | AT huijiaxie thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jiaxinchen thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT qiongleichen thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT yitingzhao thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jiamingliu thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jingsun thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT xuezhenhu thediagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT huijiaxie diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jiaxinchen diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT qiongleichen diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT yitingzhao diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jiamingliu diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT jingsun diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders AT xuezhenhu diagnosticvalueofgutmicrobiotaanalysisforpoststrokesleepdisorders |