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Record W4410755784 · doi:10.7717/peerj.19441

Association between gut microbiota and allergic rhinitis: a systematic review and meta-analysis

2025· review· en· W4410755784 on OpenAlexaboutno aff
Mengyao Li, Qian Wang, Ruikun Wang, Jian Pu, Yimin Zhang, Siyu Ye, J Q Liang, Tao Li, Qinglong Gu

Bibliographic record

VenuePeerJ · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisInterquartile rangeCochrane LibraryMedicineInternal medicinePublication biasConfidence intervalMEDLINEObservational studyCINAHLBiologyPsychiatry

Abstract

fetched live from OpenAlex

Background Many studies have shown that allergic rhinitis (AR) is closely related to intestinal flora, and probiotics are effective in treatment. However, the results of human observational studies on the correlation between intestinal flora and AR have been contradictory. The aim of this study was to determine the relationship between gut microbiota and allergic rhinitis and to provide a clinical reference. Methods PubMed, Web of Science, Medline, Embase, Cochrane Library, and Cinahl databases were searched, and the literature on the correlation between allergic rhinitis and the gut microbiota reported from database establishment to December 2023 was included. Literature meeting the inclusion criteria was screened, and meta-analysis of the included literature was performed using R software (4.3.3). Literature quality underwent assessment utilizing the Newcastle-Ottawa Quality Assessment Scale. Hedge’s g standardized mean difference (SMD), confidence intervals (CIs), and heterogeneity ( I 2 ) for alpha diversity were calculated. Median interquartile range (IQR) were calculated as effect statistics for the abundance of bacteria. The Egger test determined publication bias in the literature. Results A total of 10 observational studies in humans were conducted, identifying 550 patients with AR and 385 healthy individuals. No statistically significant differences were observed in alpha diversity between two groups, including Shannon index (SMD = −0.3938, 95% CI [−0.9847–0.1972], I 2 = 94%), Simpson index (SMD = −0.16, 95% CI [−1.12–0.80], I 2 = 96%) and Chao1 index (SMD = −0.00, 95% CI [−1.32–1.32], I 2 = 97%). We performed a meta-analysis for the following four phyla, but found no significant differences: Firmicutes (95% CI [−0.10–0.19], I 2 = 75%), Bacteroidetes (95% CI [−0.42–0.19], I 2 = 95%), Proteobacteria (95% CI [−0.06–0.03], I 2 = 92%), Actinobacteria (95% CI [−0.09–0.03], I 2 = 83%). Conclusions The currently available evidence does not suggest that patients with allergic rhinitis may have similar intestinal flora imbalances. Nevertheless, further corroboration is required with larger samples and higher-quality studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.348
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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Same venuePeerJSame topicGut microbiota and healthFrench-language works237,207