Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder
Bibliographic Data
| ID | 15519772 |
|---|---|
| Authors | Xuan Wang (0000-0002-7173-0962, Lianyungang Oriental Hospital), Di Cao (0009-0008-5290-4120, The First People’s Hospital of Lianyungang), Hanlin Zhang (0000-0001-5065-4086, Fuyang City People's Hospital), Wei Chen (0000-0002-9419-148X, Lianyungang Oriental Hospital), Jiaxin Sun (0000-0001-9288-0284, Lianyungang Oriental Hospital), Huimin Hu (0000-0003-1167-7570, Xuzhou Medical College, corresponding author) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1539596-1539596 |
| Publication date | 2025-02-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1539596 |
| PMID | 40041700 |
| OpenAlex | W4407716282 |
| Language | EN |
| References cited | 28 |
This study reveals the complex relationship between gut microbiota and major depressive disorder and provides a scientific basis for the development of a microbiota-based diagnostic tool for depression
Bioinformatics · Biology · Cognition · Computational biology · Gene · Machine learning · Major depressive disorder · Metagenomics · Profiling (computer programming · Psychiatry · Computer Science · Gut microbiota and health · Medicine · Psychology · Stress Responses and Cortisol · Tryptophan and brain disorders · Artificial Intelligence · Genetics
| Highly cited | No |
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