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A multi-omics analysis of gut bacteriome, virome, and serum metabolome in bipolar depression
Combined analysis of gut bacteria, viruses, and blood chemicals in bipolar depression
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Abstract
A significant difference in gut bacterial α-diversity was observed between 90 drug-free patients with bipolar depression and 30 healthy controls.
- 1929 bacterial and 134 viral species showed significant differences between groups, with 249 bacterial and 7 viral species remaining significant after correction.
- Metabolomic analysis identified 261 serum metabolites that differed significantly, enriched in 70 biological pathways, with 40 pathways remaining significant after correction.
- Integration of datasets revealed strong correlations across different omics, although only eight viral-metabolic correlations were significant.
- Significant correlations with clinical features were found only between differential metabolites and disease severity scores, mostly negative.
- A model combining bacteriome, virome, and metabolome features achieved a discriminative power of AUC = 0.986, outperforming single-omics models.
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Key numbers
249
Bacterial Species Difference
Bacterial species showing significant differences after FDR correction.
261
Serum Metabolites Difference
Metabolites identified with significant differences between groups.
0.986
Random Forest Model AUC
AUC achieved by the combined model of bacteriome, virome, and metabolome features.