Differences and similarities in the transcriptional profile of peripheral whole blood in early and late-onset preeclampsia: insights into the molecular basis of the phenotype of preeclampsiaa

被引:42
作者
Chaiworapongsa, Tinnakorn [1 ,2 ,3 ,4 ]
Romero, Roberto [1 ,2 ,3 ]
Whitten, Amy [2 ,3 ,4 ]
Tarca, Adi L. [2 ,3 ,5 ]
Bhatti, Gaurav [5 ]
Draghici, Sorin [5 ]
Chaemsaithong, Piya [2 ,3 ,4 ]
Miranda, Jezid [2 ,3 ,4 ]
Hassan, Sonia S. [2 ,3 ,4 ]
机构
[1] Wayne State Univ, Perinatol Res Branch, NICHD, NIH,DHHS,Hutzel Womens Hosp, Detroit, MI 48201 USA
[2] NICHD, Perinatol Res Branch, NIH, DHHS, Detroit, MI USA
[3] NICHD, Perinatol Res Branch, NIH, DHHS, Bethesda, MD USA
[4] Wayne State Univ, Dept Obstet & Gynecol, Detroit, MI USA
[5] Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA
关键词
Affymetrix; gene expression; H19; microarray; PAX gene; PCR transcriptomic; pregnancy; white blood cell count; GENE-EXPRESSION PROFILES; FOR-GESTATIONAL-AGE; EPITHELIAL MEMBRANE PROTEIN-1; LINKING PLACENTAL ISCHEMIA; MESSENGER-RNA EXPRESSION; GROWTH-FACTOR RECEPTOR; LONG-TERM MORTALITY; H19; GENE; MICROARRAY ANALYSIS; HYPERTENSIVE DISORDERS;
D O I
10.1515/jpm-2013-0082
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective: Preeclampsia (PE) can be sub-divided into early-and late-onset phenotypes. The pathogenesis of these two phenotypes has not been elucidated. To gain insight into the mechanisms of disease, the transcriptional profiles of whole blood from women with early-and late-onset PE were examined. Methods: A cross-sectional study was conducted to include women with: i) early-onset PE (diagnosed prior to 34 weeks, n = 25); ii) late-onset PE (after 34 weeks, n = 47); and iii) uncomplicated pregnancy (n = 61). Microarray analysis of mRNA expression in peripheral whole blood was undertaken using Affymetrix microarrays. Differential gene expression was evaluated using a moderated t-test (false discovery rate < 0.1 and fold change > 1.5), adjusting for maternal white blood cell count and gestational age. Validation by real-time qRT-PCR was performed in a larger sample size [early PE (n = 31), late PE (n = 72) and controls (n = 99)] in all differentially expressed genes. Gene ontology analysis and pathway analysis were performed. Results: i) 43 and 28 genes were differentially expressed in early-and late-onset PE compared to the control group, respectively; ii) qRT-PCR confirmed the micro-array results for early and late-onset PE in 77% (33/43) and 71% (20/28) of genes, respectively; iii) 20 genes that are involved in coagulation (SERPINI2), immune regulation (VSIG4, CD24), developmental process (H19) and inflammation (S100A10) were differentially expressed in early-onset PE alone. In contrast, only seven genes that encoded proteins involved in innate immunity (LTF, ELANE) and cell-to-cell recognition in the nervous system (CNTNAP3) were differentially expressed in late-onset PE alone. Thirteen genes that encode proteins involved in host defense (DEFA4, BPI, CTSG, LCN2), tight junctions in blood-brain barrier (EMP1) and liver regeneration (ECT2) were differentially expressed in both early-and late-onset PE. Conclusion: Early-and late-onset PE are characterized by a common signature in the transcriptional profile of whole blood. A small set of genes were differentially regulated in early-and late-onset PE. Future studies of the biological function, expression timetable and protein expression of these genes may provide insight into the pathophysiology of PE.
引用
收藏
页码:485 / 504
页数:20
相关论文
共 203 条
[1]   Microarray analysis identifies altered regulation of nuclear receptor family members in the pre-disease state of multiple sclerosis [J].
Achiron, Anat ;
Grotto, Itamar ;
Balicer, Ran ;
Magalashvili, David ;
Feldman, Anna ;
Gurevich, Michael .
NEUROBIOLOGY OF DISEASE, 2010, 38 (02) :201-209
[2]  
ACOG Committee on Practice Bulletins--Obstetrics, 2002, Obstet Gynecol, V99, P159
[3]   The ABCA subfamily - gene and protein structures, functions and associated hereditary diseases [J].
Albrecht, Christiane ;
Viturro, Enrique .
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY, 2007, 453 (05) :581-589
[4]   A United States national reference for fetal growth [J].
Alexander, GR ;
Himes, JH ;
Kaufman, RB ;
Mor, J ;
Kogan, M .
OBSTETRICS AND GYNECOLOGY, 1996, 87 (02) :163-168
[5]  
[Anonymous], J Perinat Med
[6]  
[Anonymous], J PERINAT MED, DOI [10.1515/jpm-2011-0190, DOI 10.1515/JPM-2011-0190]
[7]   MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia [J].
Armstrong, SA ;
Staunton, JE ;
Silverman, LB ;
Pieters, R ;
de Boer, ML ;
Minden, MD ;
Sallan, SE ;
Lander, ES ;
Golub, TR ;
Korsmeyer, SJ .
NATURE GENETICS, 2002, 30 (01) :41-47
[8]   Differential gene expression profiles are dependent upon method of peripheral blood collection and RNA isolation [J].
Asare, Adam L. ;
Kolchinsky, Svetlana A. ;
Gao, Zhong ;
Wang, Richard ;
Raddassi, Khadir ;
Bourcier, Katarzyna ;
Seyfert-Margolis, Vicki .
BMC GENOMICS, 2008, 9 (1)
[9]   First-trimester metabolomic detection of late-onset preeclampsia [J].
Bahado-Singh, Ray O. ;
Akolekar, Ranjit ;
Mandal, Rupasri ;
Dong, Edison ;
Xia, Jianguo ;
Kruger, Michael ;
Wishart, David S. ;
Nicolaides, Kypros .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2013, 208 (01) :58.e1-58.e7
[10]   Metabolomics and first-trimester prediction of early-onset preeclampsia [J].
Bahado-Singh, Ray O. ;
Akolekar, Ranjit ;
Mandal, Rupasri ;
Dong, Edison ;
Xia, Jianguo ;
Kruger, Michael ;
Wishart, David S. ;
Nicolaides, Kypros .
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2012, 25 (10) :1840-1847