用一种新型的自动Lumipulse免疫分析法定量血浆APOE4,可以识别纯合子和杂合子APOE ε4载体状态。

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
G. Musso , C. Cosma , S. Moz , C. Gabelli , F. Navaglia , A. Codemo , C.F. Zambon , A. Cagnin , A. Antonini , M. Corbetta , M. Montagnana
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引用次数: 0

摘要

载脂蛋白E (APOE) ε4等位基因是阿尔茨海默病(AD)的重要危险因素。虽然基因检测仍然是确定APOE状态的金标准,但蛋白质水平的量化可以在临床实践中提供优势。本研究评估了一种新型的全自动免疫分析法,用于定量血浆样品中APOE4和总APOE (Pan-APOE),与传统基因检测相比,评估了其准确性和临床实用性。材料与方法:采用Lumipulse 1200 G APOE4和Pan-APOE免疫分析法对65例患者的血浆样本(39例ε4非携带者,21例ε4杂合,5例ε4纯合)进行分析。通过计算APOE4/Pan-APOE比值(ratio %)来判断ε4的携带状态。将结果与基因检测结果进行比较。使用来自三名不同基因型患者的三次测量来评估检测的重复性。结果:APOE4和Pan-APOE蛋白水平和Ratio%在ε4状态组之间差异显著(p )讨论:这种新的免疫测定方法具有优异和潜在的更快结果,可以在临床实践中提供优势,特别是在AD治疗资格评估方面。然而,在考虑广泛的临床应用之前,需要在更大的、不同的队列中进行进一步的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of plasma APOE4 with a novel automated Lumipulse immunoassay enables the identification of homozygous and heterozygous APOE ε4 carrier status

Introduction

The Apolipoprotein E (APOE) ε4 allele is a significant risk factor for Alzheimer's disease (AD). While genetic testing remains the gold standard for determining APOE status, protein-level quantification could offer advantages in clinical practice. This study evaluates a novel, fully automated immunoassay for quantifying APOE4 and total APOE (Pan-APOE) in plasma samples, assessing its accuracy and clinical utility compared to traditional genetic testing.

Materials and methods

Plasma samples from 65 patients (39 ε4 non-carriers, 21 ε4 heterozygous, 5 ε4 homozygous) were analyzed using the Lumipulse 1200 G APOE4 & Pan-APOE immunoassays. The APOE4/Pan-APOE ratio (Ratio%) was calculated to determine ε4 carrier status. Results were compared to genetic testing. Assay repeatability was evaluated using triplicate measurements from three patients with different genotypes.

Results

APOE4 and Pan-APOE protein levels and Ratio% differed significantly across ε4 status groups (p < 0.0001). The Ratio% showed no overlap between groups. ROC curve analysis for ε4 carrier identification showed an AUC of 1.00, with 100 % sensitivity and specificity at a 14 % cut-off. Perfect agreement was observed between the immunoassay and genetic testing (Cohen's kappa = 1.00, p < 0.0001). Intra-assay CV was <5 % for APOE4 and <8 % for Ratio%.

Discussion

This novel immunoassay demonstrates excellent and potential for faster results could offer advantages in clinical practice, particularly for AD therapy eligibility evaluation. However, further validation in larger, diverse cohorts is necessary before considering widespread clinical implementation.
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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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