<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15(23)</volume><submitter>Ravindran S</submitter><pubmed_abstract>&lt;b>Background/Objectives:&lt;/b> Asthma is a heterogeneous inflammatory airway disease. Periostin, a matricellular protein induced by interleukin-13, contributes to airway inflammation and remodeling. This study evaluated serum periostin as a diagnostic biomarker and explored multidimensional phenotypes in adult asthma. &lt;b>Methods:&lt;/b> A cross-sectional study included 76 adults, with 25 healthy controls, 25 moderate, and 26 severe asthma patients, classified per Global Initiative for Asthma (GINA)-2020 guidelines. Serum periostin was measured using an enzyme-linked immunosorbent assay (ELISA). Diagnostic accuracy was assessed using receiver operating characteristic (ROC) analysis, Firth-penalized logistic regression, bootstrap calibration (1000 resamples), decision curve analysis (DCA), and g</pubmed_abstract><journal>Diagnostics (Basel, Switzerland)</journal><pagination>3028</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12691264</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Unsupervised Phenotyping of Asthma: Integrating Serum Periostin with Clinical and Inflammatory Profiles.</pubmed_title><pmcid>PMC12691264</pmcid><pubmed_authors>Ramaiah S</pubmed_authors><pubmed_authors>Chaya SK</pubmed_authors><pubmed_authors>Mahesh PA</pubmed_authors><pubmed_authors>Kaleem Ullah M</pubmed_authors><pubmed_authors>Shankar M</pubmed_authors><pubmed_authors>Kulkarni S</pubmed_authors><pubmed_authors>Parthasarathi A</pubmed_authors><pubmed_authors>Madhunapantula SV</pubmed_authors><pubmed_authors>ShankaraSetty RV</pubmed_authors><pubmed_authors>Siddaiah JB</pubmed_authors><pubmed_authors>Ravindran S</pubmed_authors><pubmed_authors>Greeshma MV</pubmed_authors><pubmed_authors>Bansal N</pubmed_authors><pubmed_authors>Karnik M</pubmed_authors><pubmed_authors>Lokesh KS</pubmed_authors><pubmed_authors>Srinivas S</pubmed_authors><pubmed_authors>Padmakaran V</pubmed_authors></additional><is_claimable>false</is_claimable><name>Unsupervised Phenotyping of Asthma: Integrating Serum Periostin with Clinical and Inflammatory Profiles.</name><description>&lt;b>Background/Objectives:&lt;/b> Asthma is a heterogeneous inflammatory airway disease. Periostin, a matricellular protein induced by interleukin-13, contributes to airway inflammation and remodeling. This study evaluated serum periostin as a diagnostic biomarker and explored multidimensional phenotypes in adult asthma. &lt;b>Methods:&lt;/b> A cross-sectional study included 76 adults, with 25 healthy controls, 25 moderate, and 26 severe asthma patients, classified per Global Initiative for Asthma (GINA)-2020 guidelines. Serum periostin was measured using an enzyme-linked immunosorbent assay (ELISA). Diagnostic accuracy was assessed using receiver operating characteristic (ROC) analysis, Firth-penalized logistic regression, bootstrap calibration (1000 resamples), decision curve analysis (DCA), and g</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-05-26T17:08:14.918Z</modification><creation>2026-05-24T03:11:21.48Z</creation></dates><accession>S-EPMC12691264</accession><cross_references><pubmed>41374409</pubmed><doi>10.3390/diagnostics15233028</doi></cross_references></HashMap>