From the ‡Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan;
§Graduate Institute of Systems Biology and Bioinformatics, National Central University, Jhongli 32001, Taiwan.
Mol Cell Proteomics. 2018 Aug;17(8):1457-1469. doi: 10.1074/mcp.RA117.000139. Epub 2017 Dec 28.
Pre-eclampsia is one of the main causes of perinatal mortality and morbidity. Many biomarkers for diagnosing pre-eclampsia have been found but most have low accuracy. Therefore, a potential marker that can detect pre-eclampsia with high accuracy is required. Infection has been reported as a cause of pre-eclampsia. In recent years, protein microarray chips have been recognized as a strong and robust tool for profiling antibodies for infection diagnoses. The purpose of the present study was to profile antibodies in the human plasma of healthy and pre-eclamptic pregnancies to identify suitable biomarkers. In this study, an chip was probed with samples from 29 individuals (16 pre-eclamptic women and 13 healthy pregnant women) to profile plasma antibodies. Bioinformatics tools were used to analyze the results, discover conserved motifs, compare against the entire human proteome, and perform protein functional analysis. An antibody classifier was identified using -top scoring pairs and additional samples for a blinded test were collected. The findings indicated that compared with the healthy women, the pre-eclamptic women exhibited 108 and 130 differentially immunogenic proteins against human immunoglobulins G and M, respectively. In addition, pre-eclamptic women developed more immunoglobulin G but less immunoglobulin M against bacterial surface proteins compared with healthy women. The k-top scoring pairs identified five pairs of immunogenic proteins as classifiers with a high accuracy of 90% in the blind test. [AG] [ISV] GV [AE] L [LF] and [IV] [IV] RI [AG] [AD] E were the consensus motifs observed in immunogenic proteins in the immunoglobulin G and immunoglobulin M of pre-eclamptic women, respectively, whereas GA [AG] [AL] L [LF] and [SRY] [IQML] [ILV] [ILV] [ACG] GI [GH] [AEF] [AK] [ATY] [RG] N [IV] were observed in the immunoglobulins G and immunoglobulin M of healthy women, respectively.
子痫前期是围产期死亡和发病的主要原因之一。已经发现了许多用于诊断子痫前期的生物标志物,但大多数准确性较低。因此,需要一种能够高准确度检测子痫前期的潜在标志物。感染已被报道为子痫前期的一个原因。近年来,蛋白质微阵列芯片已被认为是一种强大而稳健的工具,可用于分析感染诊断中的抗体。本研究的目的是分析健康和子痫前期妊娠妇女的血浆中的抗体,以鉴定合适的生物标志物。在这项研究中,使用来自 29 个人(16 名子痫前期妇女和 13 名健康孕妇)的样本探测芯片,以分析血浆抗体。使用生物信息学工具分析结果,发现保守基序,与整个人类蛋白质组进行比较,并进行蛋白质功能分析。使用-最优评分对鉴定抗体分类器,并收集额外的样本进行盲测。研究结果表明,与健康妇女相比,子痫前期妇女针对人免疫球蛋白 G 和 M 分别表现出 108 和 130 种差异免疫原性蛋白。此外,与健康妇女相比,子痫前期妇女产生针对细菌表面蛋白的免疫球蛋白 G 更多,但免疫球蛋白 M 较少。k-最优评分对鉴定了五对免疫原性蛋白作为分类器,在盲测中的准确率为 90%。[AG] [ISV] GV [AE] L [LF]和[IV] [IV] RI [AG] [AD] E 是子痫前期妇女免疫球蛋白 G 和免疫球蛋白 M 中免疫原性蛋白的共有基序,而 GA [AG] [AL] L [LF]和 [SRY] [IQML] [ILV] [ILV] [ACG] GI [GH] [AEF] [AK] [ATY] [RG] N [IV]是健康妇女免疫球蛋白 G 和免疫球蛋白 M 中的共有基序。