Liu Mine Y, Xydakis Antonios M, Hoogeveen Ron C, Jones Peter H, Smith E O'Brian, Nelson Kathleen W, Ballantyne Christie M
Section of Atherosclerosis, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
Clin Chem. 2005 Jul;51(7):1102-9. doi: 10.1373/clinchem.2004.047084.
The complex pathology of disease has sparked the development of novel protein expression profiling techniques that require validation in clinical settings. This study focuses on multiplexed analyses of adipocytokines and biomarkers linked to the metabolic syndrome, diabetes, and cardiovascular disease.
Multiplexed immunoassays using fluorescent microspheres and the Luminex-100 system were performed on plasma from 80 obese patients (40 with the metabolic syndrome) before and after 6-8 weeks of diet-induced weight loss. Leptin, insulin, C-peptide, monocyte chemoattractant protein-1 (MCP-1), eotaxin, interleukin-8 (IL-8), tumor necrosis factor-alpha (TNF-alpha), and IL-6 concentrations measured with multiplex panels from 3 different manufacturers were compared with results from commercial ELISAs. Detection limits and between- and within-run imprecision were determined for each analyte. Bland-Altman analysis was used to determine agreement between multiplexed immunoassays and ELISAs.
Correlation between the Luminex multiplexed assays and ELISAs was good for leptin (Linco), insulin (Linco), MCP-1 (Biosource and Upstate), and eotaxin (Biosource) with correlation coefficients of 0.711-0.895; fair for eotaxin (Upstate) and C-peptide (Linco) with correlation coefficients of 0.496-0.582; and poor for TNF-alpha, IL-8, and IL-6 (Linco, Biosource, Upstate, and R&D) with correlation coefficients of -0.107 to 0.318. Within- and between-run imprecision values for the multiplex method were generally <15%. Relative changes in plasma leptin and insulin concentrations after diet-induced weight loss were similar whether assessed by multiplex assay or ELISA.
Although this technology appears useful in clinical research studies, low assay sensitivity and poor correlations with conventional ELISA methods for some analytes with very low plasma concentrations should be considered when using the Luminex platform in clinical studies.
疾病的复杂病理引发了新型蛋白质表达谱技术的发展,这些技术需要在临床环境中进行验证。本研究聚焦于对与代谢综合征、糖尿病和心血管疾病相关的脂肪细胞因子和生物标志物的多重分析。
使用荧光微球和Luminex - 100系统对80名肥胖患者(40名患有代谢综合征)在饮食诱导的体重减轻6 - 8周前后的血浆进行多重免疫分析。将用来自3个不同制造商的多重检测板测量的瘦素、胰岛素、C肽、单核细胞趋化蛋白-1(MCP - 1)、嗜酸性粒细胞趋化因子、白细胞介素-8(IL - 8)、肿瘤坏死因子-α(TNF - α)和IL - 6浓度与商业酶联免疫吸附测定(ELISA)的结果进行比较。确定每种分析物的检测限以及批内和批间不精密度。采用布兰德-奥特曼分析来确定多重免疫分析与ELISA之间的一致性。
Luminex多重检测与ELISA之间,瘦素(Linco)、胰岛素(Linco)、MCP - 1(Biosource和Upstate)和嗜酸性粒细胞趋化因子(Biosource)的相关性良好,相关系数为0.711 - 0.895;嗜酸性粒细胞趋化因子(Upstate)和C肽(Linco)的相关性一般,相关系数为0.496 - 0.582;TNF - α、IL - 8和IL - 6(Linco、Biosource、Upstate和R&D)的相关性较差,相关系数为 - 0.107至0.318。多重方法的批内和批间不精密度值一般<15%。饮食诱导体重减轻后血浆瘦素和胰岛素浓度的相对变化,无论通过多重检测还是ELISA评估,结果相似。
尽管该技术在临床研究中似乎有用,但在临床研究中使用Luminex平台时,应考虑到某些血浆浓度极低的分析物检测灵敏度较低以及与传统ELISA方法相关性较差的问题。