干血点采集的血液适合用不同的分析系统筛查新生儿镰状细胞病(SCD)。

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Clinica Chimica Acta Pub Date : 2026-01-01 Epub Date: 2025-08-05 DOI:10.1016/j.cca.2025.120528
Renata Paleari, Matteo Vidali, Roberta Rolla, Ferruccio Ceriotti, Massimiliano Ammirabile, Andrea Mosca
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引用次数: 0

摘要

镰状细胞病(SCD)是一种严重的遗传性血红蛋白病,在撒哈拉以南非洲负担最重。通过新生儿筛查进行及时诊断对于实现低成本挽救生命的干预措施至关重要,但其在世界各地的实施情况仍不一致。本研究利用3个高效液相色谱(HPLC)平台和1个毛细管电泳系统,对用于定量血红蛋白S (Hb S)的Guthrie卡片上采集的干血斑(DBS)样品的性能和分析稳定性进行了评价。在三个时间点(采集后立即、1 周和2 周)分析三种Hb S浓度(非携带者、携带者和受影响)的模拟新生儿样本。在所有方法中,Hb S定量具有高度可重复性,绝大多数测量的时间点间变化保持在预定义的临界阈值内。虽然在胎儿血红蛋白(Hb F)中观察到微小的差异,但所有方法都正确地将样本分类为SCD筛查目的。这些发现证实,基于Guthrie卡片的DBS是一种稳健实用的Hb S检测矩阵,适用于运输和延迟分析,甚至跨越不同的分析平台。限制包括使用加标而不是本地SCD新生儿样本和常温运输。尽管如此,研究结果支持在SCD筛查项目中更广泛地采用DBS,特别是在资源匮乏或分散的环境中,并强调了进一步标准化Hb F量化的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood collected on dry blood spots is fit for newborn screening of sickle cell disease (SCD) by different analytical systems.

Sickle cell disease (SCD) is a severe hereditary hemoglobinopathy with the highest burden in sub-Saharan Africa. Timely diagnosis via newborn screening is critical to enabling low-cost, life-saving interventions, yet its implementation remains inconsistent worldwide. This study assessed the performance and analytical stability of dried blood spot (DBS) samples collected on Guthrie cards for quantifying hemoglobin S (Hb S), using three high-performance liquid chromatography (HPLC) platforms and one capillary electrophoresis system. Simulated neonatal samples at three Hb S concentrations (non-carrier, carrier, and affected) were analyzed at three timepoints (immediate, 1 week, and 2 weeks post-collection). Across all methods, Hb S quantification was highly reproducible, with inter-timepoint variation remaining within the predefined critical threshold for the vast majority of the measurements. While minor discrepancies were observed for fetal hemoglobin (Hb F), all methods correctly classified samples for SCD screening purposes. These findings confirm that Guthrie card-based DBS is a robust and practical matrix for Hb S detection, suitable for transport and delayed analysis-even across different analytical platforms. Limitations include the use of spiked rather than native SCD neonatal samples and ambient-temperature shipping. Nonetheless, the results support broader adoption of DBS in SCD screening programs, particularly in low-resource or decentralized settings, and highlight the need for further standardization of Hb F quantification.

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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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