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ORIGINAL RESEARCH article

Front. Microbiol.
Sec. Systems Microbiology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1497262

6S rRNA sequencing-based evaluation of the protective effects of Key gut microbiota on inhaled allergen-induced allergic rhinitis

Provisionally accepted
Yi Tang Yi Tang Yongchuan She Yongchuan She *Danping Chen Danping Chen Yibo Zhou Yibo Zhou Dan Xie Dan Xie Zhai Liu Zhai Liu
  • Changsha Hospital of Traditional Chinese Medicine, Changsha, Hunan Province, China

The final, formatted version of the article will be published soon.

    Allergic rhinitis (AR), a prevalent respiratory disorder, is influenced by various factors in its pathogenesis. Emerging evidence highlights the gut microbiota's significant role in immune modulation and its potential association with AR development. This study aimed to characterize the gut microbiota of patients with AR sensitized via inhalation, using 16S rRNA sequencing, to elucidate AR pathogenesis and identify potential therapeutic targets. By comparing microbiota profiles between patients with AR and healthy controls, the study aims to provide new insights into AR. Microbial diversity was evaluated using alpha and beta diversity indices, while differential microbiota populations were identified through LEfSe analysis. A LASSO regression model was employed to pinpoint key species, and PICRUSt2 was used to predict the functional pathways associated with these species. A total of 1,122 common species, 1,803 AR-associated species, and 1,739 HC-associated species were identified. LEfSe analysis revealed 20 genus-level discrepancies, and LASSO regression identified 8 key genera, including Prevotellaceae UCG-004 and Rhodococcus, with AUC values exceeding 0.7, indicating strong diagnostic potential. Functional pathway analysis suggested that these pivotal species participate in pathways such as L-lysine biosynthesis and photorespiration, which may contribute to AR pathogenesis. This study identifies critical gut microbiota that could serve as potential biomarkers for AR, offering new avenues for therapeutic strategies and further investigation.

    Keywords: allergic rhinitis, 16S rRNA sequencing, diagnosis, Fresh feces, microbiota

    Received: 17 Sep 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Tang, She, Chen, Zhou, Xie and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yongchuan She, Changsha Hospital of Traditional Chinese Medicine, Changsha, Hunan Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.