INTRODUCTION: Our aim was to identify novel biomarker candidates for the near-term prediction of preeclampsia in a homogenous collective. In this study, we screened at the genome-wide level for gene expression in placental villous tissue from patients with severe preeclampsia in comparison to normal healthy pregnancies. MATERIAL AND METHODS: Total RNA was extracted from placental villous tissue from 9 preeclamptic patients and 7 normotensive controls after scheduled cesarean sections. After sample pooling, gene expression analysis was performed using six Affymetrix Human Gene 1.0 ST arrays, followed by quantitative RT-PCR and validation of selected markers in the serum of patients at the protein level. RESULTS: In total, 896 significantly differentially expressed genes were identified (p ≤ 0.05). After restricting these to molecules present in the circulation, 9 upregulated and 5 downregulated genes were selected. Four of them (β-hCG, HTRA4, LHB1, all upregulated; and NOX4, downregulated) were validated by quantitative real-time RT-PCR. Finally, the maternal plasma protein levels of 2 of these genes (LHB and β-hCG) were confirmed to be significantly different between preeclampsia cases and controls. DISCUSSION: We identified 14 potential new biomarker candidates for preeclampsia and validated 4 of them by quantitative RT-PCR and 2 of them with subsequent serum protein analyses. Further studies will assess the optimal marker combination for the imminent prediction of impending preeclampsia.
INTRODUCTION: Our aim was to identify novel biomarker candidates for the near-term prediction of preeclampsia in a homogenous collective. In this study, we screened at the genome-wide level for gene expression in placental villous tissue from patients with severe preeclampsia in comparison to normal healthy pregnancies. MATERIAL AND METHODS: Total RNA was extracted from placental villous tissue from 9 preeclamptic patients and 7 normotensive controls after scheduled cesarean sections. After sample pooling, gene expression analysis was performed using six Affymetrix Human Gene 1.0 ST arrays, followed by quantitative RT-PCR and validation of selected markers in the serum of patients at the protein level. RESULTS: In total, 896 significantly differentially expressed genes were identified (p ≤ 0.05). After restricting these to molecules present in the circulation, 9 upregulated and 5 downregulated genes were selected. Four of them (β-hCG, HTRA4, LHB1, all upregulated; and NOX4, downregulated) were validated by quantitative real-time RT-PCR. Finally, the maternal plasma protein levels of 2 of these genes (LHB and β-hCG) were confirmed to be significantly different between preeclampsia cases and controls. DISCUSSION: We identified 14 potential new biomarker candidates for preeclampsia and validated 4 of them by quantitative RT-PCR and 2 of them with subsequent serum protein analyses. Further studies will assess the optimal marker combination for the imminent prediction of impending preeclampsia.
Authors: L M Wolfe; R D Thiagarajan; F Boscolo; V Taché; R L Coleman; J Kim; W K Kwan; J F Loring; M Parast; L C Laurent Journal: Placenta Date: 2014-06-06 Impact factor: 3.481
Authors: Haley R Eidem; William E Ackerman; Kriston L McGary; Patrick Abbot; Antonis Rokas Journal: BMC Med Genomics Date: 2015-06-05 Impact factor: 3.063
Authors: E A Trifonova; T V Gabidulina; N I Ershov; V N Serebrova; A Yu Vorozhishcheva; V A Stepanov Journal: Acta Naturae Date: 2014-04 Impact factor: 1.845
Authors: Linda Y Liu; Ting Yang; Jun Ji; Qiaojun Wen; Alexander A Morgan; Bo Jin; Gongxing Chen; Deirdre J Lyell; David K Stevenson; Xuefeng B Ling; Atul J Butte Journal: BMC Med Date: 2013-11-06 Impact factor: 8.775