Oral Microbiota Profiles in Major Depressive Disorder Patients

A study of 38 patients with major depressive disorder and 30 healthy controls collected buccal mucosa samples and neuropsychological assessments. Fengyun Wang published the results on figshare in April 2026, exploring links between oral bacteria and depression pathophysiology. The dataset likely contains relative abundance measurements of specific oral genera and correlations with clinical scores.

Use Cases

• Investigating correlations between oral Mogibacterium abundance and Hamilton Depression Scale scores based on the described findings
• Exploring mediating roles of BDNF and VEGF in the relationship between oral microbiota and depression severity based on the described mechanisms
• Predicting antidepressant treatment response rates based on baseline Mogibacterium levels mentioned in the study
• Comparing oral microbial diversity between depressed patients and healthy controls based on the described group differences

Strengths

• Includes longitudinal data with follow-up assessments at 2 and 6 weeks
• Correlates microbial data with multiple clinical scales (HAMD-24, Self-Rating Depression Scale) and serum biomarkers (BDNF, NGF, VEGF)
• Focuses on a specific, less-studied oral genus (Mogibacterium) with potential diagnostic relevance

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Sample size is relatively small (68 total participants)

Provenance

Source

figshare

Collection Method

16S rRNA sequencing of buccal mucosa samples from enrolled patients and controls

Freshness

Last updated 2026-04-24 05:39:57; freshness should be verified