<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16</volume><submitter>Sun G</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Emerging evidence indicates a link between gut dysbiosis and allergic rhinitis (AR) pathogenesis. Nevertheless, the mechanistic role of gut microbiota in AR progression requires further characterization. To address this, we employed an integrated multi-omics strategy to delineate gut microbial composition and metabolic signatures in AR patients.&lt;h4>Methods&lt;/h4>Fecal specimens from 23 AR patients and 15 matched healthy controls (total &lt;i>n&lt;/i> = 38) were subjected to 16S rRNA gene sequencing to assess bacterial community structure, alongside untargeted metabolomic profiling of microbial metabolites. Spearman's rank correlation analysis was applied to evaluate microbiota-metabolite interactions.&lt;h4>Results&lt;/h4>Allergic rhinitis patients exhibited altered gut microbial community structure (beta diversity, &lt;i>P&lt;/i> &lt; 0.05) with depletion of SCFA-producing genera such as &lt;i>Faecalibacterium&lt;/i> and enrichment of pro-inflammatory taxa like &lt;i>Fusobacterium&lt;/i>. Metabolomic profiling identified significant disturbances in pathways including pantothenate and CoA biosynthesis, glycolysis, and pyruvate metabolism. Key discriminatory metabolites included maltol and 4-coumaric acid. Integrative analysis revealed significant correlations between specific bacteria and metabolites, such as &lt;i>Faecalibacterium&lt;/i> with D-phenyllactic acid (ρ = 0.515, &lt;i>q&lt;/i> = 0.046).&lt;h4>Conclusion&lt;/h4>Our findings demonstrate that AR is associated with gut dysbiosis and metabolic dysfunction, highlighting the role of microbial-derived metabolites in immune regulation via the gut-nose axis. These insights support the potential for microbiota-targeted therapeutic strategies in AR management.</pubmed_abstract><journal>Frontiers in microbiology</journal><pagination>1652915</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12646992</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Integrated gut microbiome and metabolomics analysis reveals microbial-metabolic cross-talk in allergic rhinitis.</pubmed_title><pmcid>PMC12646992</pmcid><pubmed_authors>Zhao S</pubmed_authors><pubmed_authors>Guan W</pubmed_authors><pubmed_authors>Chai R</pubmed_authors><pubmed_authors>Huang H</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Hou D</pubmed_authors><pubmed_authors>Xu C</pubmed_authors><pubmed_authors>Zhang M</pubmed_authors><pubmed_authors>Sun G</pubmed_authors><pubmed_authors>Wang X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrated gut microbiome and metabolomics analysis reveals microbial-metabolic cross-talk in allergic rhinitis.</name><description>&lt;h4>Background&lt;/h4>Emerging evidence indicates a link between gut dysbiosis and allergic rhinitis (AR) pathogenesis. Nevertheless, the mechanistic role of gut microbiota in AR progression requires further characterization. To address this, we employed an integrated multi-omics strategy to delineate gut microbial composition and metabolic signatures in AR patients.&lt;h4>Methods&lt;/h4>Fecal specimens from 23 AR patients and 15 matched healthy controls (total &lt;i>n&lt;/i> = 38) were subjected to 16S rRNA gene sequencing to assess bacterial community structure, alongside untargeted metabolomic profiling of microbial metabolites. Spearman's rank correlation analysis was applied to evaluate microbiota-metabolite interactions.&lt;h4>Results&lt;/h4>Allergic rhinitis patients exhibited altered gut microbial community structure (beta diversity, &lt;i>P&lt;/i> &lt; 0.05) with depletion of SCFA-producing genera such as &lt;i>Faecalibacterium&lt;/i> and enrichment of pro-inflammatory taxa like &lt;i>Fusobacterium&lt;/i>. Metabolomic profiling identified significant disturbances in pathways including pantothenate and CoA biosynthesis, glycolysis, and pyruvate metabolism. Key discriminatory metabolites included maltol and 4-coumaric acid. Integrative analysis revealed significant correlations between specific bacteria and metabolites, such as &lt;i>Faecalibacterium&lt;/i> with D-phenyllactic acid (ρ = 0.515, &lt;i>q&lt;/i> = 0.046).&lt;h4>Conclusion&lt;/h4>Our findings demonstrate that AR is associated with gut dysbiosis and metabolic dysfunction, highlighting the role of microbial-derived metabolites in immune regulation via the gut-nose axis. These insights support the potential for microbiota-targeted therapeutic strategies in AR management.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-05T16:49:55.863Z</modification><creation>2026-05-19T03:11:47.333Z</creation></dates><accession>S-EPMC12646992</accession><cross_references><pubmed>41311502</pubmed><doi>10.3389/fmicb.2025.1652915</doi></cross_references></HashMap>