16S rRNA sequencing-based evaluation of the protective effects of key gut microbiota on inhaled allergen-induced allergic rhinitis

Allergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize t...

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Published inFrontiers in microbiology Vol. 15; p. 1497262
Main Authors Tang, Yi, She, Yongchuan, Chen, Danping, Zhou, Yibo, Xie, Dan, Liu, Zhai
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 09.01.2025
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ISSN1664-302X
1664-302X
DOI10.3389/fmicb.2024.1497262

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Abstract Allergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize the gut microbiota of patients with AR who are sensitized via inhalation, utilizing 16S rRNA sequencing to shed light on the pathogenesis of AR and identify potential therapeutic targets. To achieve the study's objectives, we compared the microbiota profiles between patients with AR and healthy controls. Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. Additionally, PICRUSt2 was utilized to predict the functional pathways associated with these identified species. The analysis identified a total of 1,122 common species, along with 1,803 species associated with AR and 1,739 species associated with healthy controls. LEfSe analysis revealed 20 significant discrepancies at the genus level. The LASSO regression model identified 8 key genera, including UCG-004 and , which exhibited AUC values exceeding 0.7, indicating strong diagnostic potential. Furthermore, functional pathway analysis suggested that these pivotal species are involved in pathways such as L-lysine biosynthesis and photorespiration, potentially contributing to the pathogenesis of AR. This study identifies critical gut microbiota that could serve as potential biomarkers for allergic rhinitis, providing new insights into its pathogenesis and offering avenues for future therapeutic strategies. Further investigation into these microbiota may lead to enhanced understanding and management of AR.
AbstractList Allergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize the gut microbiota of patients with AR who are sensitized via inhalation, utilizing 16S rRNA sequencing to shed light on the pathogenesis of AR and identify potential therapeutic targets. To achieve the study's objectives, we compared the microbiota profiles between patients with AR and healthy controls. Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. Additionally, PICRUSt2 was utilized to predict the functional pathways associated with these identified species. The analysis identified a total of 1,122 common species, along with 1,803 species associated with AR and 1,739 species associated with healthy controls. LEfSe analysis revealed 20 significant discrepancies at the genus level. The LASSO regression model identified 8 key genera, including UCG-004 and , which exhibited AUC values exceeding 0.7, indicating strong diagnostic potential. Furthermore, functional pathway analysis suggested that these pivotal species are involved in pathways such as L-lysine biosynthesis and photorespiration, potentially contributing to the pathogenesis of AR. This study identifies critical gut microbiota that could serve as potential biomarkers for allergic rhinitis, providing new insights into its pathogenesis and offering avenues for future therapeutic strategies. Further investigation into these microbiota may lead to enhanced understanding and management of AR.
IntroductionAllergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize the gut microbiota of patients with AR who are sensitized via inhalation, utilizing 16S rRNA sequencing to shed light on the pathogenesis of AR and identify potential therapeutic targets.MethodsTo achieve the study’s objectives, we compared the microbiota profiles between patients with AR and healthy controls. Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. Additionally, PICRUSt2 was utilized to predict the functional pathways associated with these identified species.ResultsThe analysis identified a total of 1,122 common species, along with 1,803 species associated with AR and 1,739 species associated with healthy controls. LEfSe analysis revealed 20 significant discrepancies at the genus level. The LASSO regression model identified 8 key genera, including Prevotellaceae UCG-004 and Rhodococcus, which exhibited AUC values exceeding 0.7, indicating strong diagnostic potential. Furthermore, functional pathway analysis suggested that these pivotal species are involved in pathways such as L-lysine biosynthesis and photorespiration, potentially contributing to the pathogenesis of AR.DiscussionThis study identifies critical gut microbiota that could serve as potential biomarkers for allergic rhinitis, providing new insights into its pathogenesis and offering avenues for future therapeutic strategies. Further investigation into these microbiota may lead to enhanced understanding and management of AR.
Allergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize the gut microbiota of patients with AR who are sensitized via inhalation, utilizing 16S rRNA sequencing to shed light on the pathogenesis of AR and identify potential therapeutic targets.IntroductionAllergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the significant role of gut microbiota in immune modulation and its potential association with the development of AR. This research aims to characterize the gut microbiota of patients with AR who are sensitized via inhalation, utilizing 16S rRNA sequencing to shed light on the pathogenesis of AR and identify potential therapeutic targets.To achieve the study's objectives, we compared the microbiota profiles between patients with AR and healthy controls. Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. Additionally, PICRUSt2 was utilized to predict the functional pathways associated with these identified species.MethodsTo achieve the study's objectives, we compared the microbiota profiles between patients with AR and healthy controls. Microbial diversity was assessed using alpha and beta diversity indices, and differential microbiota populations were identified through Linear discriminant analysis Effect Size (LEfSe) analysis. A Least Absolute Shrinkage and Selection Operator (LASSO) regression model was employed to pinpoint key species. Additionally, PICRUSt2 was utilized to predict the functional pathways associated with these identified species.The analysis identified a total of 1,122 common species, along with 1,803 species associated with AR and 1,739 species associated with healthy controls. LEfSe analysis revealed 20 significant discrepancies at the genus level. The LASSO regression model identified 8 key genera, including Prevotellaceae UCG-004 and Rhodococcus, which exhibited AUC values exceeding 0.7, indicating strong diagnostic potential. Furthermore, functional pathway analysis suggested that these pivotal species are involved in pathways such as L-lysine biosynthesis and photorespiration, potentially contributing to the pathogenesis of AR.ResultsThe analysis identified a total of 1,122 common species, along with 1,803 species associated with AR and 1,739 species associated with healthy controls. LEfSe analysis revealed 20 significant discrepancies at the genus level. The LASSO regression model identified 8 key genera, including Prevotellaceae UCG-004 and Rhodococcus, which exhibited AUC values exceeding 0.7, indicating strong diagnostic potential. Furthermore, functional pathway analysis suggested that these pivotal species are involved in pathways such as L-lysine biosynthesis and photorespiration, potentially contributing to the pathogenesis of AR.This study identifies critical gut microbiota that could serve as potential biomarkers for allergic rhinitis, providing new insights into its pathogenesis and offering avenues for future therapeutic strategies. Further investigation into these microbiota may lead to enhanced understanding and management of AR.DiscussionThis study identifies critical gut microbiota that could serve as potential biomarkers for allergic rhinitis, providing new insights into its pathogenesis and offering avenues for future therapeutic strategies. Further investigation into these microbiota may lead to enhanced understanding and management of AR.
Author Chen, Danping
Zhou, Yibo
Liu, Zhai
Xie, Dan
She, Yongchuan
Tang, Yi
AuthorAffiliation Changsha Hospital of Traditional Chinese Medicine (Changsha Eighth Hospital) , Changsha , China
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Cites_doi 10.1016/j.jaci.2019.06.049
10.1038/s41564-022-01301-x
10.1098/rstb.1994.0091
10.1111/all.14586
10.1016/j.chom.2019.07.008
10.1159/000510536
10.1038/nmeth.3869
10.1038/nbt.2676
10.5217/ir.2019.00108
10.1159/000515352
10.3390/molecules26164871
10.1016/j.envres.2021.112472
10.3390/ijms20081835
10.1097/mib.0000000000000382
10.1186/1471-2105-12-77
10.1136/bmjopen-2019-031339
10.1002/alr.23090
10.1038/cti.2016.29
10.1128/mSystems.00013-15
10.3389/fmicb.2022.978940
10.1080/09168451.2019.1654847
10.1128/spectrum.01676-22
10.1016/j.alit.2017.06.008
10.1186/gb-2011-12-6-r60
10.3390/nu14204328
10.1038/s41572-020-00227-0
10.3389/fimmu.2018.01584
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Keywords microbiota
diagnosis
fresh feces
allergic rhinitis
16S rRNA sequencing
Language English
License Copyright © 2025 Tang, She, Chen, Zhou, Xie and Liu.
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References Alvarez (ref1) 2021; 26
Richards (ref17) 2016; 5
Hirata (ref5) 2017; 66
Noecker (ref15) 2016; 1
Schaefer (ref19) 2019; 9
Colwell (ref4) 1994; 345
Langille (ref8) 2013; 31
Robin (ref18) 2011; 12
Watts (ref23) 2021; 182
Kaczynska (ref6) 2022; 14
Laitinen (ref7) 2019; 20
Segata (ref20) 2011; 12
Meng (ref13) 2020; 75
Pascal (ref16) 2018; 9
Tierney (ref22) 2019; 26
Li (ref10) 2022; 205
Li (ref9) 2022; 13
Yang (ref26) 2022; 10
Wright (ref25) 2015; 21
Mahajan (ref11) 2020; 18
Bousquet (ref3); 145
Bousquet (ref2); 6
Steiner (ref21) 2021; 182
Wise (ref24) 2023; 13
Makino (ref12) 2019; 83
Miao (ref14) 2023; 8
Callahan (ref700) 2016
References_xml – volume: 145
  start-page: 70
  ident: ref3
  article-title: Next-generation Allergic Rhinitis and Its Impact on Asthma (ARIA) guidelines for allergic rhinitis based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) and real-world evidence
  publication-title: J. Allergy Clin. Immunol.
  doi: 10.1016/j.jaci.2019.06.049
– volume: 8
  start-page: 218
  year: 2023
  ident: ref14
  article-title: Exacerbation of allergic rhinitis by the commensal bacterium Streptococcus salivarius
  publication-title: Nat. Microbiol.
  doi: 10.1038/s41564-022-01301-x
– volume: 345
  start-page: 101
  year: 1994
  ident: ref4
  article-title: Estimating terrestrial biodiversity through extrapolation
  publication-title: Phil. Trans. R. Soc. B
  doi: 10.1098/rstb.1994.0091
– volume: 75
  start-page: 3069
  year: 2020
  ident: ref13
  article-title: Advances and novel developments in allergic rhinitis
  publication-title: Allergy
  doi: 10.1111/all.14586
– volume: 26
  start-page: 283
  year: 2019
  ident: ref22
  article-title: The landscape of genetic content in the gut and oral human microbiome
  publication-title: Cell Host Microbe
  doi: 10.1016/j.chom.2019.07.008
– volume: 182
  start-page: 94
  year: 2021
  ident: ref23
  article-title: The gut microbiome of adults with allergic rhinitis is characterised by reduced diversity and an altered abundance of key microbial taxa compared to controls
  publication-title: Int. Arch. Allergy Immunol.
  doi: 10.1159/000510536
– year: 2016
  ident: ref700
  article-title: DADA2: High-resolution sample inference from Illumina amplicon data
  publication-title: Nat Methods
  doi: 10.1038/nmeth.3869
– volume: 31
  start-page: 814
  year: 2013
  ident: ref8
  article-title: Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
  publication-title: Nat. Biotechnol.
  doi: 10.1038/nbt.2676
– volume: 18
  start-page: 337
  year: 2020
  ident: ref11
  article-title: Incidental benefits after fecal microbiota transplant for ulcerative colitis
  publication-title: Intest. Res.
  doi: 10.5217/ir.2019.00108
– volume: 182
  start-page: 807
  year: 2021
  ident: ref21
  article-title: Probiotic potential of Lactobacillus species in allergic rhinitis
  publication-title: Int. Arch. Allergy Immunol.
  doi: 10.1159/000515352
– volume: 26
  start-page: 4871
  year: 2021
  ident: ref1
  article-title: Rhodococcus as biofactories for microbial oil production
  publication-title: Molecules
  doi: 10.3390/molecules26164871
– volume: 205
  start-page: 112472
  year: 2022
  ident: ref10
  article-title: Association between exposure to air pollution and risk of allergic rhinitis: a systematic review and meta-analysis
  publication-title: Environ. Res.
  doi: 10.1016/j.envres.2021.112472
– volume: 20
  start-page: 1835
  year: 2019
  ident: ref7
  article-title: Overall dietary quality relates to gut microbiota diversity and abundance
  publication-title: Int. J. Mol. Sci.
  doi: 10.3390/ijms20081835
– volume: 21
  start-page: 1219
  year: 2015
  ident: ref25
  article-title: Recent advances in characterizing the gastrointestinal microbiome in Crohn’s disease: a systematic review
  publication-title: Inflamm. Bowel Dis.
  doi: 10.1097/mib.0000000000000382
– volume: 12
  start-page: 77
  year: 2011
  ident: ref18
  article-title: pROC: an open-source package for R and S+ to analyze and compare ROC curves
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-12-77
– volume: 9
  start-page: e031339
  year: 2019
  ident: ref19
  article-title: Effects of a probiotic treatment (Enterococcus faecalis) and open-label placebo on symptoms of allergic rhinitis: study protocol for a randomised controlled trial
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2019-031339
– volume: 13
  start-page: 293
  year: 2023
  ident: ref24
  article-title: International consensus statement on allergy and rhinology: allergic rhinitis—2023
  publication-title: Int. Forum Allergy Rhinol.
  doi: 10.1002/alr.23090
– volume: 5
  start-page: e82
  year: 2016
  ident: ref17
  article-title: Dietary metabolites and the gut microbiota: an alternative approach to control inflammatory and autoimmune diseases
  publication-title: Clin. Transl. Immunol.
  doi: 10.1038/cti.2016.29
– volume: 1
  start-page: e00013
  year: 2016
  ident: ref15
  article-title: Metabolic model-based integration of microbiome taxonomic and metabolomic profiles elucidates mechanistic links between ecological and metabolic variation
  publication-title: mSystems
  doi: 10.1128/mSystems.00013-15
– volume: 13
  start-page: 978940
  year: 2022
  ident: ref9
  article-title: Mixed silage with Chinese cabbage waste enhances antioxidant ability by increasing ascorbate and aldarate metabolism through rumen Prevotellaceae UCG-004 in Hu sheep
  publication-title: Front. Microbiol.
  doi: 10.3389/fmicb.2022.978940
– volume: 83
  start-page: 2298
  year: 2019
  ident: ref12
  article-title: Lactobacillus helveticus SBT2171 alleviates allergic symptoms in a murine model for pollen allergy
  publication-title: Biosci. Biotechnol. Biochem.
  doi: 10.1080/09168451.2019.1654847
– volume: 10
  start-page: e0167622
  year: 2022
  ident: ref26
  article-title: Interaction between cervical microbiota and host gene regulation in caesarean section scar diverticulum
  publication-title: Microbiol. Spectr.
  doi: 10.1128/spectrum.01676-22
– volume: 66
  start-page: 523
  year: 2017
  ident: ref5
  article-title: Gut microbiome, metabolome, and allergic diseases
  publication-title: Allergol. Int.
  doi: 10.1016/j.alit.2017.06.008
– volume: 12
  start-page: R60
  year: 2011
  ident: ref20
  article-title: Metagenomic biomarker discovery and explanation
  publication-title: Genome Biol.
  doi: 10.1186/gb-2011-12-6-r60
– volume: 14
  start-page: 4328
  year: 2022
  ident: ref6
  article-title: The crosstalk between the gut microbiota composition and the clinical course of allergic rhinitis: the use of probiotics, prebiotics and bacterial lysates in the treatment of allergic rhinitis
  publication-title: Nutrients
  doi: 10.3390/nu14204328
– volume: 6
  start-page: 95
  ident: ref2
  article-title: Allergic rhinitis
  publication-title: Nat. Rev. Dis. Primers
  doi: 10.1038/s41572-020-00227-0
– volume: 9
  start-page: 1584
  year: 2018
  ident: ref16
  article-title: Microbiome and allergic diseases
  publication-title: Front. Immunol.
  doi: 10.3389/fimmu.2018.01584
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Snippet Allergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize the...
IntroductionAllergic rhinitis (AR) is a common respiratory disorder influenced by various factors in its pathogenesis. Recent studies have begun to emphasize...
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SubjectTerms 16S rRNA sequencing
allergic rhinitis
diagnosis
fresh feces
Microbiology
microbiota
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Title 16S rRNA sequencing-based evaluation of the protective effects of key gut microbiota on inhaled allergen-induced allergic rhinitis
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