Evidence map›Paper›PMID 42676825›Full record

ArticleJournal of oral microbiology2026

Bidirectional Mendelian randomization between oral microbiota and allergic rhinitis in East Asian populations.

Chenguang Zhang, Panlei Li, Yicong Wang, Chunlong Zhao, Wanru Chen, Yanan Ma, Bin Guo

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Chenguang ZhangSchool of Clinical Medicine, Qinghai University, Xining, People's Republic of China.ORCID https://orcid.org/0009-0005-0660-3763
Panlei LiSchool of Clinical Medicine, Qinghai University, Xining, People's Republic of China.ORCID https://orcid.org/0009-0000-9764-9858
Yicong WangDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of SunYat-sen University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0009-0002-3950-775X
Chunlong ZhaoSchool of Clinical Medicine, Qinghai University, Xining, People's Republic of China.ORCID https://orcid.org/0009-0007-9836-4812
Wanru ChenSchool of Clinical Medicine, Qinghai University, Xining, People's Republic of China.ORCID https://orcid.org/0009-0002-0778-5501
Yanan MaDepartment of Otolaryngology, Qinghai University Affiliated Hospital, Xining, People's Republic of China.ORCID https://orcid.org/0009-0008-7347-8511
Bin GuoDepartment of Otolaryngology, Qinghai University Affiliated Hospital, Xining, People's Republic of China.ORCID https://orcid.org/0000-0002-6490-8339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the bidirectional causal associations between genetically predicted oral microbial taxa and allergic rhinitis (AR) in East Asian populations. Methods: We used summary-level genome-wide association study (GWAS) data from East Asian populations to conduct a bidirectional two-sample Mendelian randomization (MR) analysis. The inverse-variance weighted (IVW) method was the primary method. Bayesian weighted Mendelian randomization (BWMR) was used to assess the robustness of taxa that remained significant after IVW-based FDR correction. Cochran's Q test, the MR-Egger intercept test, and MR-PRESSO were used to assess heterogeneity and horizontal pleiotropy. Results: In the forward MR analysis, 16 tongue dorsum and 22 salivary microbial taxa were associated with AR risk. BWMR supported associations for 15 tongue dorsum and 17 salivary taxa, with effect directions generally consistent with those obtained using IVW. Representative associations included a positive association between genetically predicted salivary Campylobacter_A_mgs_1095 abundance and AR risk (OR = 1.381), and an inverse association between tongue dorsum Streptococcus_mgs_1057 abundance and AR risk (OR = 0.767).Sensitivity analyses indicated no substantial heterogeneity or horizontal pleiotropy for most taxa. Conclusions: Genetically predicted abundances of several tongue dorsum and salivary microbial taxa were associated with AR risk in East Asian GWAS datasets.These findings require validation in larger independent cohorts and experimental studies.

Indexed as

allergic rhinitiscausal inferencegenome-wide association studyMendelian randomizationOral microbiota

Identifiers

PMID42676825
PMCPMC13528148

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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.