Evidence map›Paper›PMID 40474156›Full record

ArticleBMC oral health2025

Relationship between depression and oral microbiome diversity: analysis of NHANES data (2009-2012).

Xichenhui Qiu, Ting Xu, Yiqing Huang, Changning Wei, Lina Wang, Bei Wu

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Inflammatory biomarkers and oral microbiome alterations in depression and anxiety disorders: a systematic review.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2026
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xichenhui Qiu *Health Science Center, Shenzhen University, No.1066 Xueyuan Avenue, Nanshan District, Shenzhen, 518060, China.
Ting Xu *School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing, 211166, China.
Yiqing HuangHealth Science Center, Shenzhen University, No.1066 Xueyuan Avenue, Nanshan District, Shenzhen, 518060, China.
Changning WeiSchool of Tech X Academy, Shenzhen Polytechnic University, No.7098 Liuxian Avenue, Nanshan District, Shenzhen, 518055, China.
Lina WangSchool of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, No.1 Xueshi Road, Huzhou, 313000, China.
Bei WuRory Meyers College of Nursing, New York University, 433 First Avenue, New York, NY, 10010, USA. bei.wu@nyu.edu.

Funding

Guangdong Science and Technology Programs Youth Fund 892003120National Natural Science Foundation of China (NSFC) Youth Fund 72404193Shenzhen Natural Science Foundation General Program for Basic Research 20240813143325033
6 · The paper itself

Abstract

backgroundWhile the association between the gut microbiome and depression is well studied, the association between the oral microbiome and depression is less well characterized.

methodsThis cross-sectional study analyzed the association between depression and diversity of oral microbiome using data from the 2009-2012 National Health and Nutrition Examination Survey (NHANES). The gene sequencing of 16S ribosomal RNA was adopted for the profiling of oral microbiome. Alpha diversity, quantified by the observed number of amplicon sequence variants (ASVs), and beta diversity, assessed using Bray-Curtis dissimilarity, were evaluated to represent oral microbiome diversity. Depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ-9) scale, with alpha diversity as the primary predictor. Weighted logistic regression was employed to examine the relationship between depression and microbial alpha diversity. Threshold effect analysis was performed to explore potential nonlinear relationships between the observed ASVs and depression. Subgroup analysis indicated that smoke, excessive alcohol consumption, and oral treatment influenced the association between oral microbiology and depression, with interaction effects observed across gender and racial groups. Beta diversity differences were evaluated using Bray-Curtis dissimilarity and visualized via non-metric multidimensional scaling (NMDS).

resultsA total of 15,018 participants were included, with an average age of 42.25 ± 15.2 years. In the fully adjusted model, the alpha diversity of oral microbiome was significantly negatively correlated with depression (OR = -0.51, 95% CI: -0.79--0.23, P = 0.003). Threshold analysis also revealed a nonlinear association in this relationship, with a significant inflection point as Log10ASVs of 2.32. Furthermore, beta diversity of the oral microbiome differed significantly between the normal and depression groups (p = 0.001). Sensitivity analyses showed that the relationship between depression and oral microbial diversity observed in this research was particularly pronounced among non-Hispanic Whites (OR = 0.16, 95% CI: 0.07-0.35) and men (OR = 0.14, 95% CI: 0.06-0.30). Additionally, significant differences in oral microbiome beta diversity were observed between the normal and depression groups (p = 0.001).

conclusionsThe findings suggest that the diversity of oral microbiome is negatively correlated with depressive symptoms. Hence, oral dysbiosis may serve as a therapeutic target or biomarker of depression. However, the underlying mechanisms require further investigation.

Indexed as

DepressionMicrobiotaMouthAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRNA, Ribosomal, 16SUnited StatesRNA, Ribosomal, 16SCross-sectional studyDepressionNational health and nutrition examination surveyOral microbiome diversity

Identifiers

PMID40474156
PMCPMC12143073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.