Multi-Omics Profiling Reveals Sex-Stratified Biomarkers Predicting Chronicity in Pediatric Primary Immune Thrombocytopenia

ABSTRACT: Primary immune thrombocytopenia (ITP) is recognized as an acquired autoimmune hemorrhagic disorder distinguished by diminished platelet counts. Plasma samples were collected from 67 children initially diagnosed with ITP along with 40 healthy controls. After a minimum of one year of regular follow-up, participants were classified according to sex and disease progression. Male cohorts consisted of chronic ITP, non-chronic ITP, and healthy control; female cohorts comprised chronic ITP, non-chronic ITP, and healthy control. From each subgroup, three peripheral blood samples were randomly chosen for proteomic and metabolomic profiling. The biomarkers exhibiting differential expression in both ITP vs. healthy control and chronic vs. non-chronic comparisons within each sex group were identified, while demonstrating sex-specific differential expression model. Integrative omics were analyzed for correlations using Pearson’s coefficient (threshold: |r| > 0.8, p< 0.05). Subsequently, candidate biomarkers were validated within a verification cohort through enzyme-linked immunosorbent assay. Independent predictive variables were further established utilizing multivariate logistic regression analysis. Additionally, the robustness of the predictive model was assessed by receiver operating characteristic curve analysis, calibration curves, and decision curve analysis. sex-associated biomarkers related to chronicity progression were identified. Cross-gender applications of these biomarkers revealed limited predictive value. Furthermore, the receiver operating characteristics curves, calibration curves, and clinical decision curve analysis demonstrated good predictive efficacy of these validated biomarkers.

ORGANISM(S): Homo Sapiens

SUBMITTER: Yufang Yuan  

PROVIDER: PXD067864 | iProX | Fri Aug 29 00:00:00 BST 2025

REPOSITORIES: iProX