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Abstract

<title>Abstract</title> <p> Thalassemia complicates prenatal carrier screening because pregnancy alters red-cell-based indices. We developed a pregnancy-adapted LC–MS/MS hemoglobin subunit-based screening strategy. We prospectively enrolled 1,726 reproductive-age women (1,052 pregnant; 674 non-pregnant) and performed hematological testing, hemoglobin electrophoresis, globin gene sequencing, and targeted LC–MS/MS quantification of hemoglobin subunits. Machine-learning models evaluated transferability and built pregnancy-specific classifiers. A subset of 287 samples (189 pregnant, 98 non-pregnant) underwent DIA proteomics to explore pregnancy-associated proteomic features. Among 1,726 participants, 145 carriers were identified (99 α-thalassemia, 46 β-thalassemia). Pregnancy significantly altered hematological indices and hemoglobin subunit concentrations, causing systematic misclassification of normal pregnant women as -α <sup>3.7</sup> /αα carriers when using models trained in non-pregnant cohorts. A pregnancy-specific model achieved an ROC-AUC of approximately 0.98 and reduced false-positive predictions compared to RBC-index-only models. DIA proteomics revealed that pregnancy remodels the blood proteome in β <sup>0</sup> /β <sup>N</sup> carriers, involving erythropoiesis-related proteins such as AHSP and indicating that pregnancy amplifies β-thalassemia-associated proteomic disturbances. Pregnancy modifies hematological, hemoglobin-subunit, and proteomic features, limiting non-pregnant screening models. LC-MS/MS with gestation-specific modeling improves carrier screening, while DBS-DIA proteomics supports pregnancy-aware biomarker development for β-thalassemia screening and classification. </p>

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Keywords

screening pregnancy hemoglobin nonpregnant models

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