The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study

被引:53
作者
Romero, Roberto [1 ,2 ,3 ,4 ,5 ]
Erez, Offer [1 ,2 ,6 ]
Maymon, Eli [1 ,2 ,6 ]
Chaemsaithong, Piya [1 ,2 ,6 ]
Xu, Zhonghui [1 ,2 ]
Pacora, Percy [1 ,2 ,6 ]
Chaiworapongsa, Tinnakorn [1 ,2 ,6 ]
Done, Bogdan [1 ,2 ]
Hassan, Sonia S. [1 ,2 ,6 ]
Tarca, Adi L. [1 ,2 ,6 ]
机构
[1] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Perinatol Res Branch, Program Perinatal Res & Obstet, Div Intramural Res,NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA
[2] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Perinatol Res Branch, Program Perinatal Res & Obstet, Div Intramural Res,NIH,Dept Hlth & Human Serv, Detroit, MI 48201 USA
[3] Univ Michigan, Dept Obstet & Gynecol, Ann Arbor, MI 48109 USA
[4] Michigan State Univ, Dept Epidemiol & Biostat, E Lansing, MI 48824 USA
[5] Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48202 USA
[6] Wayne State Univ, Sch Med, Dept Obstet & Gynecol, Detroit, MI 48201 USA
基金
美国国家卫生研究院;
关键词
aptamer; biomarker; carbonic anhydrase-6; C-C motif-28; dual-specificity mitogen-activated protein kinase kinase-4; glypican-3; high-throughput biology; interleukin-1; receptor; 4; placental growth factor; pregnancy-associated plasma protein A; prolactin; proteins; sialic acid-binding immunoglobulin-type lectin-6; HUMAN CHORIONIC-GONADOTROPIN; PLACENTAL GROWTH-FACTOR; SERUM ALPHA-FETOPROTEIN; ANTI-ANGIOGENIC FACTORS; FREE BETA-HCG; BINDING PROTEIN-1 IGFBP-1; HIGH-DIMENSIONAL BIOLOGY; NORMAL GLUCOSE-TOLERANCE; FREE FATTY-ACIDS; AMNIOTIC-FLUID;
D O I
10.1016/j.ajog.2017.02.037
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
OBJECTIVE: Pregnancy is accompanied by dramatic physiological changes in maternal plasma proteins. Characterization of the maternal plasma proteome in normal pregnancy is an essential step for understanding changes to predict pregnancy outcome. The objective of this study was to describe maternal plasma proteins that change in abundance with advancing gestational age and determine biological processes that are perturbed in normal pregnancy. STUDY DESIGN: A longitudinal study included 43 normal pregnancies that had a term delivery of an infant who was appropriate for gestational age without maternal or neonatal complications. For each pregnancy, 3 to 6 maternal plasma samples (median, 5) were profiled to measure the abundance of 1125 proteins using multiplex assays. Linear mixed-effects models with polynomial splines were used to model protein abundance as a function of gestational age, and the significance of the association was inferred via likelihood ratio tests. Proteins considered to be significantly changed were defined as having the following: (1) >1.5-fold change between 8 and 40 weeks of gestation; and (2) a false discovery rate-adjusted value of P<.1. Gene ontology enrichment analysis was used to identify biological processes overrepresented among the proteins that changed with advancing gestation. RESULTS: The following results were found: (1) Ten percent (112 of 1125) of the profiled proteins changed in abundance as a function of acid-binding immunoglobulin-type lectin-6, placental growth factor, C-C motif-28, carbonic anhydrase 6, prolactin, interleukin-1 receptor 4, dual-specificity mitogen-activated protein kinase 4, and pregnancy-associated plasma protein-A had more than a 5-fold change in abundance across gestation (these 9 proteins are known to be involved in a wide range of both physiological and pathological processes, such as growth regulation, embryogenesis, angiogenesis immunoregulation, inflammation etc); and (3) biological processes associated with protein changes in normal pregnancy included defense response, defense response to bacteria, proteolysis, and leukocyte migration (false discovery rate, 10%). CONCLUSION: The plasma proteome of normal pregnancy demonstrates dramatic changes in both the magnitude of changes and the fraction of the proteins involved. Such information is important to understand the physiology of pregnancy and the development of biomarkers to differentiate normal vs abnormal pregnancy and determine the response to interventions.
引用
收藏
页码:67.e1 / 67.e21
页数:21
相关论文
共 349 条
[1]   Maternal morbidity and mortality from severe sepsis: a national cohort study [J].
Acosta, Colleen D. ;
Harrison, David A. ;
Rowan, Kathy ;
Lucas, D. Nuala ;
Kurinczuk, Jennifer J. ;
Knight, Marian .
BMJ OPEN, 2016, 6 (08)
[2]   Host defense proteins in vernix caseosa and amniotic fluid [J].
Akinbi, HT ;
Narendran, V ;
Pass, AK ;
Markart, P ;
Hoath, SB .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2004, 191 (06) :2090-2096
[3]   Prevalence of Candida albicans and bacterial vaginosis in asymptomatic pregnant women in South Yorkshire, United Kingdom [J].
Akinbiyi, A. A. ;
Watson, Robert ;
Feyi-Waboso, Paul .
ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2008, 278 (05) :463-466
[4]   Maternal serum placental growth factor at 11+0 to 13+6 weeks of gestation in the prediction of pre-eclampsia [J].
Akolekar, R. ;
Zaragoza, E. ;
Poon, L. C. Y. ;
Pepes, S. ;
Nicolaides, K. H. .
ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2008, 32 (06) :732-739
[5]   Competing Risks Model in Early Screening for Preeclampsia by Biophysical and Biochemical Markers [J].
Akolekar, Ranjit ;
Syngelaki, Argyro ;
Poon, Leona ;
Wright, David ;
Nicolaides, Kypros H. .
FETAL DIAGNOSIS AND THERAPY, 2013, 33 (01) :8-15
[6]   1994-1996 U.S. singleton birth weight percentiles for gestational age by race, Hispanic origin, and gender. [J].
Alexander G.R. ;
Kogan M.D. ;
Himes J.H. .
Maternal and Child Health Journal, 1999, 3 (4) :225-231
[7]   Microarray data analysis: from disarray to consolidation and consensus [J].
Allison, DB ;
Cui, XQ ;
Page, GP ;
Sabripour, M .
NATURE REVIEWS GENETICS, 2006, 7 (01) :55-65
[8]  
[Anonymous], 1979, Lancet, V2, P651
[9]  
[Anonymous], J MATERN FETAL NEONA
[10]  
[Anonymous], METABOLITES