{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T14:25:30Z","timestamp":1790259930810,"version":"4.1.0"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100003447","name":"State Scholarships Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pregnancy Hypertension"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1016\/j.preghy.2019.12.007","type":"journal-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T11:41:33Z","timestamp":1576842093000},"page":"52-60","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":27,"special_numbering":"C","title":["Meta-analysis of gene expression profiles in preeclampsia"],"prefix":"10.1016","volume":"19","author":[{"given":"Konstantina E.","family":"Vennou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panagiota I.","family":"Kontou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgia G.","family":"Braliou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pantelis G.","family":"Bagos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9741","key":"10.1016\/j.preghy.2019.12.007_b0005","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1016\/S0140-6736(10)60279-6","article-title":"Pre-eclampsia","volume":"376","author":"Steegers","year":"2010","journal-title":"Lancet (London, England)"},{"issue":"10","key":"10.1016\/j.preghy.2019.12.007_b0010","doi-asserted-by":"crossref","first-page":"695","DOI":"10.7326\/M13-2844","article-title":"Low-dose aspirin for prevention of morbidity and mortality from preeclampsia: a systematic evidence review for the U.S. Preventive Services Task Force","volume":"160","author":"Henderson","year":"2014","journal-title":"Ann. Intern. Med."},{"issue":"10053","key":"10.1016\/j.preghy.2019.12.007_b0015","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1016\/S0140-6736(16)31012-1","article-title":"Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015","volume":"388","author":"Wang","year":"2016","journal-title":"Lancet (London, England)"},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0020","first-page":"181","article-title":"Diagnosis and management of gestational hypertension and preeclampsia","volume":"102","author":"Sibai","year":"2003","journal-title":"Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0025","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1067\/mob.2000.107928","article-title":"Report of the national high blood pressure education program working group on high blood pressure in pregnancy","volume":"183","author":"Gifford","year":"2000","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.preghy.2019.12.007_b0030","series-title":"Harrison\u2019s principles of internal medicine","author":"Longo","year":"2012"},{"key":"10.1016\/j.preghy.2019.12.007_b0035","doi-asserted-by":"crossref","first-page":"327","DOI":"10.2147\/IJWH.S8550","article-title":"Diagnosis and management of pre-eclampsia: an update","volume":"2","author":"Turner","year":"2010","journal-title":"Int. J. Women\u2019s Health"},{"issue":"8","key":"10.1016\/j.preghy.2019.12.007_b0040","doi-asserted-by":"crossref","first-page":"759","DOI":"10.18632\/oncotarget.595","article-title":"A lesson for cancer research: placental microarray gene analysis in preeclampsia","volume":"3","author":"Louwen","year":"2012","journal-title":"Oncotarget"},{"issue":"4","key":"10.1016\/j.preghy.2019.12.007_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.ajog.2006.11.028","article-title":"Racial\/ethnic differences in the monthly variation of preeclampsia incidence","volume":"196","author":"Bodnar","year":"2007","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"9237","key":"10.1016\/j.preghy.2019.12.007_b0050","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/S0140-6736(00)02800-2","article-title":"Pre-eclampsia","volume":"356","author":"Walker","year":"2000","journal-title":"Lancet (London, England)"},{"issue":"4","key":"10.1016\/j.preghy.2019.12.007_b0055","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1042\/CS20050323","article-title":"Searching for genetic clues to the causes of pre-eclampsia","volume":"110","author":"Chappell","year":"2006","journal-title":"Clin. Sci. (Lond)"},{"issue":"5","key":"10.1016\/j.preghy.2019.12.007_b0060","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.tjog.2017.08.004","article-title":"Preeclampsia: a review of the pathogenesis and possible management strategies based on its pathophysiological derangements","volume":"56","author":"El-Sayed","year":"2017","journal-title":"Taiwanese J. Obstet. Gynecol."},{"key":"10.1016\/j.preghy.2019.12.007_b0065","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1186\/1477-7827-7-70","article-title":"Potential markers of preeclampsia\u2013a review","volume":"7","author":"Grill","year":"2009","journal-title":"Reproduct. Biol. Endocrinol.: RB&E"},{"key":"10.1016\/j.preghy.2019.12.007_b0070","unstructured":"T. Barrett, R. Edgar Mining Microarray Data at NCBI\u2019s Gene Expression Omnibus (GEO). Methods in molecular biology (Clifton, NJ). 2006; 338: 175-190."},{"key":"10.1016\/j.preghy.2019.12.007_b0075","unstructured":"PubMed Help [Internet]."},{"issue":"7","key":"10.1016\/j.preghy.2019.12.007_b0080","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1000097","article-title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement","volume":"6","author":"Moher","year":"2009","journal-title":"PLoS Med."},{"issue":"9","key":"10.1016\/j.preghy.2019.12.007_b0085","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.0050184","article-title":"Key issues in conducting a meta-analysis of gene expression microarray datasets","volume":"5","author":"Ramasamy","year":"2008","journal-title":"PLoS Med."},{"key":"10.1016\/j.preghy.2019.12.007_b0090","series-title":"Statistical Power Analysis for the Behavioral Sciences","author":"Cohen","year":"1969"},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0095","doi-asserted-by":"crossref","first-page":"107","DOI":"10.3102\/10769986006002107","article-title":"Distribution Theory for Glass\u2019s Estimator of Effect Size and Related Estimators","volume":"6","author":"Hedges","year":"1981","journal-title":"J. Educat. Statist."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0100","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1186\/1471-2105-11-408","article-title":"Comparison study of microarray meta-analysis methods","volume":"11","author":"Campain","year":"2010","journal-title":"BMC Bioinf."},{"key":"10.1016\/j.preghy.2019.12.007_b0105","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/btg1010","article-title":"Combining multiple microarray studies and modeling interstudy variation","volume":"19","author":"Choi","year":"2003","journal-title":"Bioinformatics"},{"key":"10.1016\/j.preghy.2019.12.007_b0110","unstructured":"S.Y.H.Y. Dudoit, Matthew J. Callow, P. Terence Speed. Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Technical report # 578, 2000."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0115","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. Roy. Stat. Soc. Ser. B (Methodol.)"},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0120","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/1471-2105-8-80","article-title":"Bayesian meta-analysis models for microarray data: a comparative study","volume":"8","author":"Conlon","year":"2007","journal-title":"BMC Bioinf."},{"key":"10.1016\/j.preghy.2019.12.007_b0125","unstructured":"StataCorp. Stata 13 Base Reference Manual. College Station, TX: Stata Press. ; 2013."},{"issue":"D1","key":"10.1016\/j.preghy.2019.12.007_b0130","doi-asserted-by":"crossref","first-page":"D183","DOI":"10.1093\/nar\/gkw1138","article-title":"PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements","volume":"45","author":"Mi","year":"2017","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.preghy.2019.12.007_b0135","doi-asserted-by":"crossref","unstructured":"Damian, Szklarczyk, Andrea, Franceschini, Stefan, Wyder, Kristoffer, Forslund, Davide, Heller, Jaime, Huerta-Cepas, Milan, Simonovic, Alexander, Roth, Alberto, Santos, Kalliopi P. Tsafou, Michael, Kuhn, Peer, Bork, Lars J. Jensen, Christian, von Mering, STRING v10: protein\u2013protein interaction networks, integrated over the tree of life 43 D1 2015 D447 D452 10.1093\/nar\/gku1003 http:\/\/academic.oup.com\/nar\/article\/43\/D1\/D447\/2435295\/STRING-v10-proteinprotein-interaction-networks.","DOI":"10.1093\/nar\/gku1003"},{"issue":"D1","key":"10.1016\/j.preghy.2019.12.007_b0140","doi-asserted-by":"crossref","first-page":"D836","DOI":"10.1093\/nar\/gkx1006","article-title":"Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse","volume":"46","author":"Smith","year":"2018","journal-title":"Nucl. Acids Res."},{"issue":"32","key":"10.1016\/j.preghy.2019.12.007_b0145","doi-asserted-by":"crossref","first-page":"22517","DOI":"10.1074\/jbc.274.32.22517","article-title":"Hexokinase II-deficient mice. Prenatal death of homozygotes without disturbances in glucose tolerance in heterozygotes","volume":"274","author":"Heikkinen","year":"1999","journal-title":"J. Biol. Chem."},{"issue":"17","key":"10.1016\/j.preghy.2019.12.007_b0150","doi-asserted-by":"crossref","first-page":"6142","DOI":"10.1128\/MCB.22.17.6142-6147.2002","article-title":"Transketolase haploinsufficiency reduces adipose tissue and female fertility in mice","volume":"22","author":"Xu","year":"2002","journal-title":"Mol. Cell. Biol."},{"issue":"8","key":"10.1016\/j.preghy.2019.12.007_b0155","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1161\/01.RES.0000144796.82787.6f","article-title":"Targeted disruption of cd73\/ecto-5\u2019-nucleotidase alters thromboregulation and augments vascular inflammatory response","volume":"95","author":"Koszalka","year":"2004","journal-title":"Circ. Res."},{"issue":"6","key":"10.1016\/j.preghy.2019.12.007_b0160","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1016\/j.bbadis.2017.02.008","article-title":"Deletion of CD73 in mice leads to aortic valve dysfunction","volume":"1863","author":"Zukowska","year":"2017","journal-title":"Biochim. Biophys. Acta, Mol. Basis Dis."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0165","doi-asserted-by":"crossref","first-page":"335","DOI":"10.4049\/jimmunol.0903474","article-title":"Distinct roles of adenylyl cyclase VII in regulating the immune responses in mice","volume":"185","author":"Duan","year":"2010","journal-title":"J. Immunol."},{"issue":"14","key":"10.1016\/j.preghy.2019.12.007_b0170","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1101\/gad.1544107","article-title":"RGS10-null mutation impairs osteoclast differentiation resulting from the loss of [Ca2+]i oscillation regulation","volume":"21","author":"Yang","year":"2007","journal-title":"Genes Dev."},{"issue":"4","key":"10.1016\/j.preghy.2019.12.007_b0175","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.bpobgyn.2011.02.007","article-title":"The genetics of pre-eclampsia and other hypertensive disorders of pregnancy","volume":"25","author":"Williams","year":"2011","journal-title":"Best Pract. Res. Clin. Obstet. Gynaecol."},{"key":"10.1016\/j.preghy.2019.12.007_b0180","doi-asserted-by":"crossref","first-page":"1838","DOI":"10.3389\/fphys.2018.01838","article-title":"Obesity and preeclampsia: common pathophysiological mechanisms","volume":"9","author":"Lopez-Jaramillo","year":"2018","journal-title":"Front. Physiol."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0185","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0301-2115(03)00240-9","article-title":"Apolipoprotein E and cholesteryl ester transfer protein polymorphisms in normal and preeclamptic pregnancies","volume":"112","author":"Belo","year":"2004","journal-title":"Eur. J. Obstet. Gynecol. Reprod. Biol."},{"issue":"4","key":"10.1016\/j.preghy.2019.12.007_b0190","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.2337\/db06-1656","article-title":"Visceral fat adipokine secretion is associated with systemic inflammation in obese humans","volume":"56","author":"Fontana","year":"2007","journal-title":"Diabetes"},{"issue":"5","key":"10.1016\/j.preghy.2019.12.007_b0195","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1080\/19396368.2018.1482968","article-title":"Application of metabolomics to preeclampsia diagnosis","volume":"64","author":"Nobakht","year":"2018","journal-title":"Syst. Biol. Reproduct. Med."},{"key":"10.1016\/j.preghy.2019.12.007_b0200","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.d2901","article-title":"Effect of supplementation during pregnancy with L-arginine and antioxidant vitamins in medical food on pre-eclampsia in high risk population: randomised controlled trial","volume":"342","author":"Vadillo-Ortega","year":"2011","journal-title":"BMJ (Clinical Research ed)."},{"key":"10.1016\/j.preghy.2019.12.007_b0205","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.preghy.2018.04.002","article-title":"The chronobiology of blood pressure in pregnancy","volume":"12","author":"Pears","year":"2018","journal-title":"Pregn. Hypertens."},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0210","doi-asserted-by":"crossref","first-page":"36","DOI":"10.3109\/10641955.2014.954722","article-title":"Fetal DNA in maternal plasma in preeclamptic pregnancies","volume":"34","author":"Vlkova","year":"2015","journal-title":"Hypertens. Pregnan."},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0215","doi-asserted-by":"crossref","first-page":"299","DOI":"10.3892\/ijmm.2014.2039","article-title":"Role of fetal DNA in preeclampsia (review)","volume":"35","author":"Konecna","year":"2015","journal-title":"Int. J. Mol. Med."},{"issue":"4","key":"10.1016\/j.preghy.2019.12.007_b0220","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.3892\/mmr.2014.3118","article-title":"Cell-free fetal DNA and pregnancy-related complications (review)","volume":"11","author":"Sifakis","year":"2015","journal-title":"Mol. Med. Rep."},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0225","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s40291-016-0245-9","article-title":"Cell-free fetal DNA for the prediction of pre-eclampsia at the first and second trimesters: a systematic review and meta-analysis","volume":"21","author":"Contro","year":"2017","journal-title":"Mol. Diagnos. Ther."},{"key":"10.1016\/j.preghy.2019.12.007_b0230","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/B978-0-444-59602-4.00002-2","article-title":"Neuroendocrinology of pregnancy and parturition","volume":"124","author":"Voltolini","year":"2014","journal-title":"Handbook Clin. Neurol."},{"issue":"11","key":"10.1016\/j.preghy.2019.12.007_b0235","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0165849","article-title":"An integrative analysis of preeclampsia based on the construction of an extended composite network featuring protein-protein physical interactions and transcriptional relationships","volume":"11","author":"Vaiman","year":"2016","journal-title":"PLoS ONE"},{"issue":"8","key":"10.1016\/j.preghy.2019.12.007_b0240","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0161504","article-title":"Comparison of normal and pre-eclamptic placental gene expression: a systematic review with meta-analysis","volume":"11","author":"Brew","year":"2016","journal-title":"PLoS ONE"},{"issue":"7","key":"10.1016\/j.preghy.2019.12.007_b0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0132468","article-title":"Meta-analysis of placental transcriptome data identifies a novel molecular pathway related to preeclampsia","volume":"10","author":"van Uitert","year":"2015","journal-title":"PLoS ONE"},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0250","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.placenta.2014.11.017","article-title":"Gene expression profile in cardiovascular disease and preeclampsia: a meta-analysis of the transcriptome based on raw data from human studies deposited in Gene Expression Omnibus","volume":"36","author":"Sitras","year":"2015","journal-title":"Placenta"},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0255","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1093\/molehr\/gau096","article-title":"Reliable pre-eclampsia pathways based on multiple independent microarray data sets","volume":"21","author":"Kawasaki","year":"2015","journal-title":"Mol. Hum. Reprod."},{"key":"10.1016\/j.preghy.2019.12.007_b0260","doi-asserted-by":"crossref","first-page":"2407","DOI":"10.1038\/srep02407","article-title":"Integrative transcriptome analysis reveals dysregulation of canonical cancer molecular pathways in placenta leading to preeclampsia","volume":"3","author":"Moslehi","year":"2013","journal-title":"Sci. Rep."},{"issue":"5\u20136","key":"10.1016\/j.preghy.2019.12.007_b0265","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.placenta.2006.05.010","article-title":"Microarray analysis of differentially expressed fetal genes in placental tissue derived from early and late onset severe pre-eclampsia","volume":"28","author":"Nishizawa","year":"2007","journal-title":"Placenta"},{"issue":"5","key":"10.1016\/j.preghy.2019.12.007_b0270","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.placenta.2009.01.012","article-title":"Differential placental gene expression in severe preeclampsia","volume":"30","author":"Sitras","year":"2009","journal-title":"Placenta"},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0275","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1210\/en.2008-0990","article-title":"Severe preeclampsia-related changes in gene expression at the maternal-fetal interface include sialic acid-binding immunoglobulin-like lectin-6 and pappalysin-2","volume":"150","author":"Winn","year":"2009","journal-title":"Endocrinology"},{"key":"10.1016\/j.preghy.2019.12.007_b0280","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1186\/1477-7827-9-107","article-title":"Comparative gene expression profiling of placentas from patients with severe pre-eclampsia and unexplained fetal growth restriction","volume":"9","author":"Nishizawa","year":"2011","journal-title":"Reproduct. Biol. Endocrinol. RB&E."},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0285","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.placenta.2010.11.014","article-title":"Transcriptional profiling of human placentas from pregnancies complicated by preeclampsia reveals disregulation of sialic acid acetylesterase and immune signalling pathways","volume":"32","author":"Tsai","year":"2011","journal-title":"Placenta"},{"issue":"6","key":"10.1016\/j.preghy.2019.12.007_b0290","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1089\/omi.2011.0066","article-title":"Identification of differential gene expression profiles in placentas from preeclamptic pregnancies versus normal pregnancies by DNA microarrays","volume":"16","author":"Meng","year":"2012","journal-title":"OMICS"},{"issue":"2","key":"10.1016\/j.preghy.2019.12.007_b0295","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.placenta.2014.12.001","article-title":"Increased glucocerebrosidase expression and activity in preeclamptic placenta","volume":"36","author":"Jebbink","year":"2015","journal-title":"Placenta"},{"key":"10.1016\/j.preghy.2019.12.007_b0300","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.placenta.2016.02.015","article-title":"Gene expression profiling reveals different molecular patterns in G-protein coupled receptor signaling pathways between early- and late-onset preeclampsia","volume":"40","author":"Liang","year":"2016","journal-title":"Placenta"},{"issue":"7","key":"10.1016\/j.preghy.2019.12.007_b0305","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.placenta.2013.04.007","article-title":"Differentially expressed microRNAs and affected biological pathways revealed by modulated modularity clustering (MMC) analysis of human preeclamptic and IUGR placentas","volume":"34","author":"Guo","year":"2013","journal-title":"Placenta"},{"issue":"1","key":"10.1016\/j.preghy.2019.12.007_b0310","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1161\/HYPERTENSIONAHA.116.07293","article-title":"Unsupervised placental gene expression profiling identifies clinically relevant subclasses of human preeclampsia","volume":"68","author":"Leavey","year":"2016","journal-title":"Hypertension"}],"container-title":["Pregnancy Hypertension"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210778919304799?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210778919304799?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:54:12Z","timestamp":1761897252000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210778919304799"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":62,"alternative-id":["S2210778919304799"],"URL":"https:\/\/doi.org\/10.1016\/j.preghy.2019.12.007","relation":{},"ISSN":["2210-7789"],"issn-type":[{"value":"2210-7789","type":"print"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Meta-analysis of gene expression profiles in preeclampsia","name":"articletitle","label":"Article Title"},{"value":"Pregnancy Hypertension","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.preghy.2019.12.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}