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三种用于全血中环孢素的商业多克隆免疫测定法的比较:2. 抗血清与环孢素代谢物的交叉反应性。

Three commercial polyclonal immunoassays for cyclosporine in whole blood compared: 2. Cross-reactivity of the antisera with cyclosporine metabolites.

作者信息

Lensmeyer G L, Wiebe D A, Carlson I H, deVos D J

机构信息

Department of Pathology and Laboratory Medicine, University of Wisconsin Hospital & Clinics, Madison 53792.

出版信息

Clin Chem. 1990 Jan;36(1):119-23.

PMID:2297901
Abstract

We demonstrate the diverse selectivity of three commercial polyclonal "cyclosporine" immunoassays for cyclosporin (CsA) metabolites by comparing analytical responses of nine metabolites added to drug-free whole-blood specimens (range 0 to 2000 micrograms/L) and assayed by the Abbott TDx fluorescence polarization immunoassay (FPIA), the Incstar Cyclo-Trac radioimmunoassay (RIA), and the Sandoz RIA. Cross-reactivity--defined as the relative response (slope of regression line) of metabolite/parent CsA over the assay's linear range of concentrations--differed for each metabolite among the three assays. Overall, Abbott's antiserum exhibited the greatest affinity for the metabolites, the Sandoz antiserum the least. Ranges of cross-reactivity for the metabolites over all three assays were M1 (14-44%), M8 (9-20%), M13 (13-26%), M17 (50-116%), M18 (17-79%), M21 (4-54%), M25 (less than 1-52%), M26 (less than 1-29%), and M203-218 (7-51%). The specificities of the Abbott, Incstar, and Sandoz polyclonal assays thus differ significantly, and this brings into question the practical utility of comparing data generated for patients' specimens by different procedures.

摘要

通过比较添加到无药全血标本(浓度范围为0至2000微克/升)中的九种环孢素(CsA)代谢物的分析响应,并采用雅培TDx荧光偏振免疫分析法(FPIA)、因斯塔 Cyclo-Trac放射免疫分析法(RIA)和山德士RIA进行检测,我们展示了三种市售多克隆“环孢素”免疫分析法对环孢素代谢物的不同选择性。交叉反应性(定义为代谢物/母体CsA在分析的线性浓度范围内的相对响应,即回归线斜率)在三种分析方法中因每种代谢物而异。总体而言,雅培的抗血清对代谢物的亲和力最高,山德士的抗血清亲和力最低。在所有三种分析方法中,代谢物的交叉反应性范围分别为M1(14 - 44%)、M8(9 - 20%)、M13(13 - 26%)、M17(50 - 116%)、M18(17 - 79%)、M21(4 - 54%)、M25(小于1 - 52%)、M26(小于1 - 29%)和M203 - 218(7 - 51%)。因此,雅培、因斯塔和山德士多克隆分析方法的特异性存在显著差异,这使得比较通过不同程序为患者标本生成的数据的实际效用受到质疑。

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