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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Three two-site apoA-I immunoassays using phage expressed detector antibodies - Preliminary clinical evaluation with cardiac patients
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Three two-site apoA-I immunoassays using phage expressed detector antibodies - Preliminary clinical evaluation with cardiac patients

机译:使用噬菌体表达探测器抗体的三个双部位ApoA-I免疫测定 - 用心脏病患者进行初步临床评价

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摘要

High density lipoproteins (HDL) are a heterogenous group of subpopulations differing in protein/lipid composition and in their anti-atherogenic function. There is a lack of specific and robust assays which can target the functionality of HDL with respect to atherosclerosis. With recently generated CAD HDL targeted, single chain recombinant antibodies (scFvs) we set out to design and optimize apo A-I tests to compare it with conventional HDL-C and apo A-I analyses for diagnosis and risk assessment of coronary artery disease (CAD) and its outcome. Three highly sensitive two-site apo A-I assays: 022-454, 109-121 and 110-525 were optimized. A preliminary clinical evaluation of these assays, after proper sample dilution procedure, was performed using samples derived from 195 chest pain patients (myocardial infarction (MI), n = 86 and non-MI, n = 109), collected at the time of admission and at discharge from hospital (hospital stay <= 24 h). The clinical performance of the assays was compared with apo A-I measured with polyclonal anti-apo A-I antibody using conventional ELISA. Apo A-I data was in addition compared with HDL-C concentration of the samples. The concentration of apo A-I was significantly lower in MI patients than in non-MI individuals with assay 022-454 (admission and discharge samples, P < 0.0001 and = 0.004); assay 109-121 (admission and discharge samples, P = 0.04 and 0.0009), and, ELISA based apo A-I test (admission and discharge samples, P = 0.008 and < 0.0001). HDL-C (admission and discharge samples, P = 0.002 and P = 0.01) was also significantly lower in MI patients. In Kaplan- Meier analysis, two-site assay 109-121 assay predicted mortality from admission samples at 1.5 yrs (whole cohort, P = 0.01 and in MI patients, P = 0.05) and at 6 months (whole cohort, P = 0.04). Assay 110-525 predicted mortality at 1.5 yrs from admission samples of non-MI patients (P = 0.01) and at 6 months from whole discharge sample cohort (P = 0.04). Polyclonal anti-apo A-I based conventional assay predicted mortality at 1.5 yrs from admission samples of whole cohort (P = 0.03). Two-site apo A-I assay 022-454 and HDL-C provided no capability of predicting mortality in the whole cohort or any sub-group. In conclusion, two of the tested recombinant apo A-I antibody combinations (sc 109-121 and sc 110-525) display promising outcome to improve diagnosis and prediction of future cardiac events in cardiac patients over polyclonal apo A-I ELISA and HDL-C assays. The noted differences, while interesting, are preliminary and need however to be verified in extensive cohorts of pathological cardiac conditions and healthy controls. (C) 2020 The Authors. Published by Elsevier B.V.
机译:高密度脂蛋白(HDL)是一组蛋白质/脂质组成和抗动脉粥样硬化功能不同的异质亚群。目前缺乏针对高密度脂蛋白在动脉粥样硬化方面功能的特异性和鲁棒性分析。利用最近产生的以CAD-HDL为靶点的单链重组抗体(ScFv),我们着手设计和优化载脂蛋白A-I测试,将其与传统的HDL-C和载脂蛋白A-I分析进行比较,以诊断和评估冠状动脉疾病(CAD)及其结果的风险。优化了三种高度敏感的双位点载脂蛋白A-I检测方法:022-454、109-121和110-525。在适当的样本稀释程序后,使用195名胸痛患者(心肌梗死(MI),n=86,非心肌梗死,n=109)的样本对这些分析进行初步临床评估,这些患者在入院时和出院时(住院时间≤24小时)收集。将检测的临床表现与使用常规ELISA的多克隆抗apo A-I抗体测定的apo A-I进行比较。此外,还将载脂蛋白A-I数据与样本的HDL-C浓度进行了比较。心肌梗死患者的载脂蛋白A-I浓度显著低于非心肌梗死患者的检测结果022-454(入院和出院样本,P<0.0001和=0.004);分析109-121(入院和出院样本,P=0.04和0.0009),以及基于ELISA的载脂蛋白A-I试验(入院和出院样本,P=0.008和<0.0001)。心肌梗死患者的HDL-C(入院和出院样本,P=0.002和P=0.01)也显著降低。在Kaplan-Meier分析中,双位点分析109-121预测了入院样本在1.5年(整个队列,P=0.01,心肌梗死患者,P=0.05)和6个月(整个队列,P=0.04)时的死亡率。分析110-525预测非心肌梗死患者入院样本1.5年时的死亡率(P=0.01),以及整个出院样本队列6个月时的死亡率(P=0.04)。基于多克隆抗载脂蛋白A-I的常规分析预测整个队列的入院样本在1.5年时的死亡率(P=0.03)。双位点载脂蛋白A-I测定022-454和HDL-C不能预测整个队列或任何亚组的死亡率。总之,与多克隆载脂蛋白A-I ELISA和HDL-C分析相比,两种受试重组载脂蛋白A-I抗体组合(sc 109-121和sc 110-525)在改善心脏病患者未来心脏事件的诊断和预测方面显示出良好的结果。所注意到的差异虽然有趣,但只是初步的,需要在病理性心脏病和健康对照的广泛队列中进行验证。(C) 2020年,作者。由Elsevier B.V.出版。

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