地中海贫血
血红蛋白
化学
生物标志物
干血斑
蛋白质亚单位
生物标志物发现
胎儿血红蛋白
血红蛋白变体
色谱法
分子生物学
生物化学
蛋白质组学
内科学
医学
遗传学
生物
基因
胎儿
怀孕
作者
Zhe Ren,Guoying Sun,Qianqian Zhang,Shaomin Zou,Jianhong Chen,Weining Zhao,Guixue Hou,Zeyan Zhong,Jialong Li,Yuhua Ye,Xiangmin Xu,Liang Lin
标识
DOI:10.1021/acs.analchem.3c00895
摘要
Identification of α-thalassemia silent carriers is challenging with conventional phenotype-based screening methods. A liquid chromatography tandem mass spectrometry (LC–MS/MS)-based approach may offer novel biomarkers to address this conundrum. In this study, we collected dried blood spot samples from individuals with three α-thalassemia subtypes for biomarker discovery and validation. We observed differential expression patterns of hemoglobin subunits among various α-thalassemia subtypes and normal controls through proteomic profiling of 51 samples in the discovery phase. Then, we developed and optimized a multiple reaction monitoring (MRM) assay to measure all detectable hemoglobin subunits. The validation phase was conducted in a cohort of 462 samples. Among the measured hemoglobin subunits, subunit μ was significantly upregulated in all the α-thalassemia groups with distinct fold changes. The hemoglobin subunit μ exhibits great potential as a novel biomarker for α-thalassemia, especially for silent α-thalassemia. We constructed predictive models based on the concentrations of hemoglobin subunits and their ratios to classify the various subtypes of α-thalassemia. In the binary classification problems of silent α-thalassemia vs normal, non-deletional α-thalassemia vs normal, and deletional α-thalassemia vs normal, the best performance of the models achieved average ROCAUCs of 0.9505, 0.9430, and 0.9976 in the cross-validation, respectively. In the multiclass model, the best performance achieved an average ROCAUC of 0.9290 in cross-validation. The performance of our MRM assay and models demonstrated that the hemoglobin subunit μ would play a vital role in screening silent α-thalassemia in clinical practice.
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