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This study integrates deconvolution algorithm and machine-learning approach to characterize allergic rhinitis molecular features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1441_abs_003\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Functional enrichment showed that negative regulation of phosphate metabolic process and Glycolysis\/Gluconegenesis pathway were significantly altered after allergic rhinitis onset. The infiltration levels of T\u00a0cells memory resting, Monocytes and Macrophage M1 wrere significantly changed between allergic rhinitis and control groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1441_abs_004\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Four allergic rhinitis feature genes were screened via four machine-learning approaches and a diagnostic model was constructed based on the feature genes. The differential expression levels between AR and the control groups were validated using an OVA-induced AR mouse model.\n                      <jats:italic>In vivo<\/jats:italic>\n                      knockdown of ALDH3B2 significantly alleviated AR symptoms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1441_abs_005\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Five AR feature genes were obtained with machine-learning algorithms. The AR feature genes were used to construct a diagnostic model. The function of those genes in AR progression was validated\n                      <jats:italic>in\u00a0vivo<\/jats:italic>\n                      using an OVA-induced AR mouse\u00a0model.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/med-2026-1441","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:01:56Z","timestamp":1780326116000},"source":"Crossref","is-referenced-by-count":0,"title":["Characterization of immune infiltrates, molecular subtypes and signature genes in patients with allergic rhinitis"],"prefix":"10.1515","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-9518-3808","authenticated-orcid":false,"given":"Wenfei","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery , The First Affiliated Hospital of Gannan Medical University , Ganzhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6233-1634","authenticated-orcid":false,"given":"Ruiqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery , The First Affiliated Hospital of Gannan Medical University , Ganzhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9298-6621","authenticated-orcid":false,"given":"Shaoping","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery , The First Affiliated Hospital of Gannan Medical University , Ganzhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4239-4094","authenticated-orcid":false,"given":"Xiao","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery , The First Affiliated Hospital of Gannan Medical University , Ganzhou , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"key":"2026060115015307555_j_med-2026-1441_ref_001","doi-asserted-by":"crossref","unstructured":"Greiner, AN, Hellings, PW, Rotiroti, G, Scadding, GK. 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