Evidence map›Paper›PMID 41395465›Full record

ArticleFrontiers in microbiology2025

Gut microbiota metabolites and key target molecules in allergic rhinitis: a multi-omics study of gut-nose axis regulation via the inflammation-metabolism network.

Jingqi Zhang, Mengqi Zhao, Ya Yu, Yining Zeng, Meiyi Sun, Chuanyu Wu, Tao Guo, Liping Lin, Zhiqing Liu, Hui Xie

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Jingqi Zhang *Department of Otolaryngology-Head and Neck Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Mengqi Zhao *Chengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Ya YuChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Yining ZengChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Meiyi SunChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Chuanyu WuChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Tao GuoChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Liping LinChengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Zhiqing LiuDepartment of Otolaryngology-Head and Neck Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.
Hui XieDepartment of Otolaryngology-Head and Neck Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu/Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Allergic rhinitis (AR) is a globally prevalent immune-mediated disorder. While the "gut-nasal axis" suggests that gut microbiota metabolites can modulate AR, the specific molecular networks and key targets involved remain poorly defined. This study aimed to systematically explore the molecular connections between gut microbiota-derived metabolites and AR, and to identify potential therapeutic targets. Methods: We performed an integrative multi-omics analysis using databases including gutMGene and GeneCards to identify overlapping genes. Summary-data-based Mendelian randomization (SMR) was used to investigate associations between genetic variation, DNA methylation, gene expression, and AR. Single-cell analysis was conducted to examine gene expression patterns in the AR nasal mucosa. Finally, upstream analysis, target prediction, and molecular docking were employed to identify key metabolites, protein targets, and candidate drugs. Results: We identified 20 overlapping genes, highlighting a significant association between AR and core inflammatory mediators like IL6, TNF, IL1B, and IL4R. SMR analysis indicated that genetic and epigenetic regulation within the interleukin gene family is closely linked to AR. Single-cell analysis revealed distinct expression patterns of these core genes in the nasal mucosa. Upstream analysis connected these findings to specific microbiota-derived metabolites, notably indole-3-propionic acid and succinate. MPO and PTGDR2 were identified as key potential targets, and Fevipiprant and Zileuton were proposed as candidate drugs. Conclusion: This study provides the first systematic exploration of the "gut-nasal" metabolic axis in AR at a multi-level molecular network level, offering novel perspectives on the disease's underlying mechanisms. The identified targets and candidate drugs provide a valuable foundation for developing new therapeutic strategies, warranting further experimental validation for potential clinical translation.

Indexed as

allergic rhinitiscore genesgut microbiota-derived metabolitesgut-nasal metabolic axistarget prediction

Identifiers

PMID41395465
PMCPMC12696707

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