Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA.
Clin Chem Lab Med. 2011 May;49(5):817-24. doi: 10.1515/CCLM.2011.122. Epub 2011 Mar 2.
Interest in biomarker patterns and disease has led to the development of immunoassays that evaluate multiple analytes in parallel while using little sample. However, there are no current standards for multiplex configuration, validation, and quality. Thus, validation by platform, population, and question of interest is recommended. We sought to determine the best blood fraction for multiplex evaluation of circulating biomarkers in post-menopausal women, and to explore body composition phenotype discrimination by biomarkers.
Archived serum and plasma samples from a sample of healthy post-menopausal women with the highest (n=9) and lowest (n=11) percent lean mass, as determined by dual-energy X-ray absorptiometry, were used to measure 90 analytes using bead-based, suspension multiplex assays. Replicates of serum and plasma were analyzed in a random selection of four of these individuals.
Ninety percent of the analytes were detectable for ≥ 50% of samples; when limited to these well detected analytes, mean replicate correlations for serum and plasma were 0.87 and 0.85, respectively. Serum had lower error rates discriminating phenotypes; seven serum vs. two plasma analytes discriminated extreme body phenotypes.
Serum and plasma performed similarly for the majority of the analytes. Serum showed a slight advantage in predicting extreme body composition phenotypes in postmenopausal women using parallel evaluation of analytes.
人们对生物标志物模式和疾病的兴趣促使开发了能够同时评估多个分析物的免疫测定法，同时仅使用少量样本。然而，目前还没有用于多重配置、验证和质量的标准。因此，建议根据平台、人群和感兴趣的问题进行验证。我们旨在确定用于评估绝经后妇女循环生物标志物的最佳血液成分，并通过生物标志物探索身体成分表型的区分。
使用基于珠粒的悬浮液多重分析测定法，对一组通过双能 X 射线吸收仪确定具有最高（n=9）和最低（n=11）瘦体重百分比的健康绝经后女性的存档血清和血浆样本进行了 90 种分析物的测量。在这四个人中的随机选择中，分析了血清和血浆的重复样本。
90%的分析物在≥50%的样本中可检测到；当仅限于这些检测良好的分析物时，血清和血浆的平均重复相关性分别为 0.87 和 0.85。血清在区分表型方面的错误率较低；七种血清与两种血浆分析物可区分极端身体表型。
对于大多数分析物，血清和血浆的性能相似。血清在使用平行评估分析物来预测绝经后妇女的极端身体成分表型方面略有优势。
