{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:36:49Z","timestamp":1783697809468,"version":"3.55.0"},"reference-count":117,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006049","name":"Comisi\u00f3n Sectorial de Investigaci\u00f3n Cient\u00edfica","doi-asserted-by":"publisher","award":["2016"],"award-info":[{"award-number":["2016"]}],"id":[{"id":"10.13039\/501100006049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008725","name":"Agencia Nacional de Investigaci\u00f3n e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["2016"],"award-info":[{"award-number":["2016"]}],"id":[{"id":"10.13039\/100008725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Programa de Desarrollo de las Ciencias B\u00e1sicas- PEDECIBA","award":["2016"],"award-info":[{"award-number":["2016"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Genomics"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1186\/s12920-019-0498-3","type":"journal-article","created":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T10:03:34Z","timestamp":1554113014000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Transcriptomic analysis of fetal membranes reveals pathways involved in preterm birth"],"prefix":"10.1186","volume":"12","author":[{"given":"Silvana","family":"Pereyra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudio","family":"Sosa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernardo","family":"Bertoni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9755-9016","authenticated-orcid":false,"given":"Rossana","family":"Sapiro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,4,1]]},"reference":[{"key":"498_CR1","volume-title":"Institute of Medicine Committee on understanding premature birth and assuring healthy outcomes board on health sciences outcomes: preterm birth: causes, consequences, and prevention","author":"RE Behrman","year":"2007","unstructured":"Behrman RE, Stith BA. Institute of Medicine Committee on understanding premature birth and assuring healthy outcomes board on health sciences outcomes: preterm birth: causes, consequences, and prevention. Washington, DC: Preterm birth: causes, consequences, and prevention, National Academies Press; 2007."},{"key":"498_CR2","doi-asserted-by":"publisher","first-page":"2151","DOI":"10.1016\/S0140-6736(12)60560-1","volume":"379","author":"L Liu","year":"2012","unstructured":"Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379:2151\u201361.","journal-title":"Lancet"},{"key":"498_CR3","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1126\/science.1251816","volume":"345","author":"R Romero","year":"2014","unstructured":"Romero R, Dey SK, Fisher SJ. Preterm Labor: One Syndrome, Many Causes. Science. 2014;345:760\u20135.","journal-title":"Science"},{"key":"498_CR4","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1177\/1933719111426602","volume":"19","author":"L Myatt","year":"2012","unstructured":"Myatt L, Eschenbach DA, Lye SJ, Mesiano S, Murtha AP, Williams SM, et al. A Standardized Template for Clinical Studies in Preterm Birth. Reprod Sci. 2012;19:474\u201382.","journal-title":"Reprod Sci"},{"key":"498_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/s12920-015-0099-8","volume":"8","author":"HR Eidem","year":"2015","unstructured":"Eidem HR, Ackerman WE, McGary KL, Abbot P, Rokas A. Gestational tissue transcriptomics in term and preterm human pregnancies: a systematic review and meta-analysis. BMC Med Genomics. 2015;8:27.","journal-title":"BMC Med Genomics"},{"key":"498_CR6","doi-asserted-by":"publisher","unstructured":"Vogel JP, Chawanpaiboon S, Moller A-B, Watananirun K, Bonet M, Lumbiganon P. The global epidemiology of preterm birth. Best Pract Res Clin Obstet Gynaecol. 2018. \n                    https:\/\/doi.org\/10.1016\/j.bpobgyn.2018.04.003\n                    \n                  .","DOI":"10.1016\/j.bpobgyn.2018.04.003"},{"key":"498_CR7","doi-asserted-by":"publisher","unstructured":"Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371. \n                    https:\/\/doi.org\/10.1016\/S0140-6736(08)60074-4\n                    \n                  .","DOI":"10.1016\/S0140-6736(08)60074-4"},{"key":"498_CR8","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1046\/j.1471-0528.2003.00021.x","volume":"110","author":"J Moutquin","year":"2003","unstructured":"Moutquin J. Classification and heterogeneity of preterm birth. BJOG. 2003;110:30\u20133.","journal-title":"BJOG"},{"key":"498_CR9","doi-asserted-by":"publisher","first-page":"642","DOI":"10.3109\/14767058.2011.597899","volume":"25","author":"JJ Henderson","year":"2012","unstructured":"Henderson JJ, McWilliam OA, Newnham JP, Pennell CE. Preterm birth aetiology 2004\u20132008. Maternal factors associated with three phenotypes: spontaneous preterm labour, preterm pre-labour rupture of membranes and medically indicated preterm birth. J Matern Fetal Neonatal Med. 2012;25:642\u20137.","journal-title":"J Matern Fetal Neonatal Med"},{"key":"498_CR10","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.ajog.2013.10.013","volume":"210","author":"JD Iams","year":"2017","unstructured":"Iams JD. Preterm birth categories\u2013labels with consequences. Am J Obstet Gynecol. 2017;210:97\u20138.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR11","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1053\/j.semperi.2015.09.005","volume":"39","author":"NK Monangi","year":"2015","unstructured":"Monangi NK, Brockway HM, House M, Zhang G, Muglia LJ. The genetics of preterm birth: Progress and promise. Semin Perinatol. 2015;39:574\u201383.","journal-title":"Semin Perinatol"},{"key":"498_CR12","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1101\/pdb.top084970","volume":"2015","author":"KR Kukurba","year":"2015","unstructured":"Kukurba KR, Montgomery SB. RNA Sequencing and Analysis. Cold Spring Harb Protoc. 2015;2015:951\u201369.","journal-title":"Cold Spring Harb Protoc"},{"key":"498_CR13","doi-asserted-by":"publisher","first-page":"13336","DOI":"10.1038\/srep13336","volume":"5","author":"S S\u00f5ber","year":"2015","unstructured":"S\u00f5ber S, Reiman M, Kikas T, Rull K, Inno R, Vaas P, et al. Extensive shift in placental transcriptome profile in preeclampsia and placental origin of adverse pregnancy outcomes. Sci Rep. 2015;5:13336.","journal-title":"Sci Rep"},{"key":"498_CR14","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1186\/1471-2164-13-115","volume":"13","author":"J Kim","year":"2012","unstructured":"Kim J, Zhao K, Jiang P, Lu Z-X, Wang J, Murray JC, et al. Transcriptome landscape of the human placenta. BMC Genomics. 2012;13:115.","journal-title":"BMC Genomics"},{"key":"498_CR15","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1177\/1933719108322425","volume":"15","author":"AM Mikheev","year":"2008","unstructured":"Mikheev AM, Nabekura T, Kaddoumi A, Bammler TK, Govindarajan R, Hebert MF, et al. Profiling gene expression in human placentae of different gestational ages: an OPRU Network and UW SCOR Study. Reprod Sci. 2008;15:866\u201377.","journal-title":"Reprod Sci"},{"key":"498_CR16","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1093\/molehr\/gau035","volume":"20","author":"S Buckberry","year":"2014","unstructured":"Buckberry S, Bianco-Miotto T, Bent SJ, Dekker GA, Roberts CT. Integrative transcriptome meta-analysis reveals widespread sex-biased gene expression at the human fetal-maternal interface. Mol Hum Reprod. 2014;20:810\u20139.","journal-title":"Mol Hum Reprod"},{"key":"498_CR17","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1093\/molehr\/gan049","volume":"14","author":"G Rey","year":"2008","unstructured":"Rey G, Skowronek F, Alciaturi J, Alonso J, Bertoni B, Sapiro R. Toll receptor 4 Asp299Gly polymorphism and its association with preterm birth and premature rupture of membranes in a South American population. Mol Hum Reprod. 2008;14:555\u20139. \n                    https:\/\/doi.org\/10.1093\/molehr\/gan049\n                    \n                  .","journal-title":"Mol Hum Reprod"},{"key":"498_CR18","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/1756-0500-5-69","volume":"5","author":"S Pereyra","year":"2012","unstructured":"Pereyra S, Velazquez T, Bertoni B, Sapiro R. Rapid multiplex high resolution melting method to analyze inflammatory related SNPs in preterm birth. BMC Res Notes. 2012;5:69.","journal-title":"BMC Res Notes"},{"key":"498_CR19","doi-asserted-by":"crossref","unstructured":"Rey G, Pereyra S, Velazquez T, Grasso D, Alonso J, Bertoni B, et al. The effect of inflammation on preterm birth. In: Preterm Birth-Mother and Child. InTech; 2012.","DOI":"10.5772\/26586"},{"key":"498_CR20","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.ejogrb.2016.04.030","volume":"202","author":"S Pereyra","year":"2016","unstructured":"Pereyra S, Bertoni B, Sapiro R. Interactions between environmental factors and maternal\u2013fetal genetic variations: strategies to elucidate risks of preterm birth. Eur J Obstet Gynecol Reprod Biol. 2016;202:20\u20135.","journal-title":"Eur J Obstet Gynecol Reprod Biol"},{"key":"498_CR21","doi-asserted-by":"publisher","first-page":"836.e1","DOI":"10.1016\/j.ajog.2015.07.037","volume":"213","author":"R Romero","year":"2015","unstructured":"Romero R, Grivel J-C, Tarca AL, Chaemsaithong P, Xu Z, Fitzgerald W, et al. Evidence of perturbations of the cytokine network in preterm labor. Am J Obstet Gynecol. 2015;213:836.e1\u2013836.e18.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR22","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.ajog.2017.12.009","volume":"218","author":"JF Strauss","year":"2018","unstructured":"Strauss JF, Romero R, Gomez-Lopez N, Haymond-Thornburg H, Modi BP, Teves ME, et al. Spontaneous preterm birth: advances toward the discovery of genetic predisposition. Am J Obstet Gynecol. 2018;218:294\u2013314.e2.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR23","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1055\/s-2006-956773","volume":"25","author":"R Romero","year":"2007","unstructured":"Romero R, Espinoza J, Gon\u00e7alves LF, Kusanovic JP, Friel L, Hassan S. The role of inflammation and infection in preterm birth. Semin Reprod Med. 2007;25:21\u201339.","journal-title":"Semin Reprod Med"},{"key":"498_CR24","doi-asserted-by":"publisher","first-page":"462.e1","DOI":"10.1016\/j.ajog.2010.02.045","volume":"202","author":"C-L Nhan-Chang","year":"2010","unstructured":"Nhan-Chang C-L, Romero R, Tarca AL, Mittal P, Kusanovic JP, Erez O, et al. Characterization of the transcriptome of chorioamniotic membranes at the site of rupture in spontaneous labor at term. Am J Obstet Gynecol. 2010;202:462.e1\u201341.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR25","doi-asserted-by":"crossref","unstructured":"Challis JR, Lockwood CJ, Myatt L, Norman JE, Strauss JF, Petraglia F. Inflammation and pregnancy. In: Reproductive Sciences. 2009. p. 206\u201315.","DOI":"10.1177\/1933719108329095"},{"key":"498_CR26","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1111\/j.1749-6632.2010.05684.x","volume":"1205","author":"N Vrachnis","year":"2010","unstructured":"Vrachnis N, Vitoratos N, Iliodromiti Z, Sifakis S, Deligeoroglou E, Creatsas G. Intrauterine inflammation and preterm delivery. Ann N Y Acad Sci. 2010;1205:118\u201322.","journal-title":"Ann N Y Acad Sci"},{"key":"498_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12978-016-0250-9","volume":"13","author":"B Mucio De","year":"2016","unstructured":"De Mucio B, Abalos E, Cuesta C, Carroli G, Serruya S, Giordano D, et al. Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America. Reprod Health. 2016;13:1\u201310.","journal-title":"Reprod Health"},{"key":"498_CR28","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1038\/nrg2825","volume":"11","author":"JT Leek","year":"2010","unstructured":"Leek JT, Scharpf RB, Bravo HC, Simcha D, Langmead B, Evan Johnson W, et al. Tackling the widespread and critical impact of batch effects in high-throughput data. Nat Rev Genet. 2010;11:733\u20139.","journal-title":"Nat Rev Genet"},{"key":"498_CR29","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1093\/bioinformatics\/btu170","volume":"30","author":"AM Bolger","year":"2014","unstructured":"Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114\u201320.","journal-title":"Bioinformatics"},{"key":"498_CR30","unstructured":"Andrews S. FastQC: A quality control tool for high throughput sequence data. \n                    Http:\/\/Www.Bioinformatics.Babraham.Ac.Uk\/Projects\/Fastqc\/. 2010\n                    \n                  . doi:citeulike-article-id:11583827."},{"key":"498_CR31","doi-asserted-by":"publisher","unstructured":"Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL. TopHat2: Accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 2013;14. \n                    https:\/\/doi.org\/10.1186\/gb-2013-14-4-r36\n                    \n                  .","DOI":"10.1186\/gb-2013-14-4-r36"},{"key":"498_CR32","doi-asserted-by":"publisher","unstructured":"Aken BL, Ayling S, Barrell D, Clarke L, Curwen V, Fairley S, et al. The Ensembl gene annotation system. Database . 2016;2016. \n                    https:\/\/doi.org\/10.1093\/database\/baw093\n                    \n                  .","DOI":"10.1093\/database\/baw093"},{"key":"498_CR33","doi-asserted-by":"publisher","unstructured":"Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15. \n                    https:\/\/doi.org\/10.1186\/s13059-014-0550-8\n                    \n                  .","DOI":"10.1186\/s13059-014-0550-8"},{"key":"498_CR34","doi-asserted-by":"publisher","unstructured":"Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11. \n                    https:\/\/doi.org\/10.1186\/gb-2010-11-10-r106\n                    \n                  .","DOI":"10.1186\/gb-2010-11-10-r106"},{"key":"498_CR35","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","volume":"26","author":"MD Robinson","year":"2010","unstructured":"Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26:139\u201340.","journal-title":"Bioinformatics"},{"key":"498_CR36","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1038\/nbt.2450","volume":"31","author":"C Trapnell","year":"2013","unstructured":"Trapnell C, Hendrickson DG, Sauvageau M, Goff L, Rinn JL, Pachter L. Differential analysis of gene regulation at transcript resolution with RNA-seq. Nat Biotechnol. 2013;31:46\u201353.","journal-title":"Nat Biotechnol"},{"key":"498_CR37","doi-asserted-by":"publisher","first-page":"289","DOI":"10.2307\/2346101","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B. 1995;57:289\u2013300. \n                    https:\/\/doi.org\/10.2307\/2346101\n                    \n                  .","journal-title":"J R Stat Soc B."},{"key":"498_CR38","doi-asserted-by":"publisher","unstructured":"Luo W, Friedman MS, Shedden K, Hankenson KD, Woolf PJ. GAGE: Generally applicable gene set enrichment for pathway analysis. BMC Bioinformatics. 2009;10. \n                    https:\/\/doi.org\/10.1186\/1471-2105-10-161\n                    \n                  .","DOI":"10.1186\/1471-2105-10-161"},{"key":"498_CR39","doi-asserted-by":"publisher","unstructured":"Young MD, Wakefield MJ, Smyth GK, Oshlack A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 2010;11. \n                    https:\/\/doi.org\/10.1186\/gb-2010-11-2-r14\n                    \n                  .","DOI":"10.1186\/gb-2010-11-2-r14"},{"key":"498_CR40","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1038\/nprot.2009.97","volume":"4","author":"S Durinck","year":"2009","unstructured":"Durinck S, Spellman PT, Birney E, Huber W. Mapping Identifiers for the Integration of Genomic Datasets with the R\/Bioconductor package biomaRt. Nat Protoc. 2009;4:1184\u201391.","journal-title":"Nat Protoc"},{"key":"498_CR41","doi-asserted-by":"publisher","first-page":"bar069","DOI":"10.1093\/database\/bar069","volume":"2012","author":"A Uzun","year":"2012","unstructured":"Uzun A, Laliberte A, Parker J, Andrew C, Winterrowd E, Sharma S, et al. dbPTB: a database for preterm birth. Database. 2012;2012:bar069.","journal-title":"Database"},{"key":"498_CR42","doi-asserted-by":"publisher","first-page":"993","DOI":"10.3389\/fimmu.2018.00993","volume":"9","author":"B Vora","year":"2018","unstructured":"Vora B, Wang A, Kosti I, Huang H, Paranjpe I, Woodruff TJ, et al. Meta-Analysis of Maternal and Fetal Transcriptomic Data Elucidates the Role of Adaptive and Innate Immunity in Preterm Birth. Front Immunol. 2018;9:993.","journal-title":"Front Immunol"},{"key":"498_CR43","doi-asserted-by":"publisher","first-page":"e3685","DOI":"10.7717\/peerj.3685","volume":"5","author":"R Bukowski","year":"2017","unstructured":"Bukowski R, Sadovsky Y, Goodarzi H, Zhang H, Biggio JR, Varner M, et al. Onset of human preterm and term birth is related to unique inflammatory transcriptome profiles at the maternal fetal interface. PeerJ. 2017;5:e3685.","journal-title":"PeerJ"},{"key":"498_CR44","doi-asserted-by":"publisher","first-page":"e96901","DOI":"10.1371\/journal.pone.0096901","volume":"9","author":"YJ Heng","year":"2014","unstructured":"Heng YJ, Pennell CE, Chua HN, Perkins JE, Lye SJ. Whole blood gene expression profile associated with spontaneous preterm birth in women with threatened preterm labor. PLoS One. 2014;9:e96901.","journal-title":"PLoS One"},{"key":"498_CR45","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1126\/science.aar3819","volume":"360","author":"TTM Ngo","year":"2018","unstructured":"Ngo TTM, Moufarrej MN, Rasmussen M-LH, Camunas-Soler J, Pan W, Okamoto J, et al. Noninvasive blood tests for fetal development predict gestational age and preterm delivery. Science. 2018;360:1133\u20136.","journal-title":"Science"},{"key":"498_CR46","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1111\/aji.12142","volume":"70","author":"J Lee","year":"2013","unstructured":"Lee J, Romero R, Chaiworapongsa T, Dong Z, Tarca AL, Xu Y, et al. Characterization of the fetal blood transcriptome and proteome in maternal anti-fetal rejection: evidence of a distinct and novel type of human fetal systemic inflammatory response. Am J Reprod Immunol. 2013;70:265\u201384.","journal-title":"Am J Reprod Immunol"},{"key":"498_CR47","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1006\/meth.2001.1262","volume":"25","author":"KJ Livak","year":"2001","unstructured":"Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2- \u0394\u0394CT method. Methods. 2001;25:402\u20138.","journal-title":"Methods"},{"key":"498_CR48","doi-asserted-by":"publisher","unstructured":"Wickham H. ggplot2: Elegant Graphics for Data Analysis, 2nd edn. New York: Springer; 2016. \n                    https:\/\/doi.org\/10.1007\/978-3-319-24277-4_5\n                    \n                  .","DOI":"10.1007\/978-3-319-24277-4_5"},{"key":"498_CR49","first-page":"394.e1","volume":"195","author":"R Haddad","year":"2006","unstructured":"Haddad R, Tromp G, Kuivaniemi H, Chaiworapongsa T, Kim YM, Mazor M, et al. Human spontaneous labor without histologic chorioamnionitis is characterized by an acute inflammation gene expression signature. Am J Obstet Gynecol. 2006;195:394.e1\u201324.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR50","doi-asserted-by":"publisher","unstructured":"Stephen GL, Lui S, Hamilton SA, Tower CL, Harris LK, Stevens A, et al. Transcriptomic Profiling of Human Choriodecidua During Term Labor: Inflammation as a Key Driver of Labor. Am J Reprod Immunol. 2015. \n                    https:\/\/doi.org\/10.1111\/aji.12328\n                    \n                  .","DOI":"10.1111\/aji.12328"},{"key":"498_CR51","doi-asserted-by":"publisher","first-page":"264","DOI":"10.4132\/jptm.2016.12.20","volume":"51","author":"H El-Azzamy","year":"2017","unstructured":"El-Azzamy H, Balogh A, Romero R, Xu Y, LaJeunesse C, Plazyo O, et al. Characteristic Changes in Decidual Gene Expression Signature in Spontaneous Term Parturition. J Pathol Transl Med. 2017;51:264\u201383.","journal-title":"J Pathol Transl Med"},{"key":"498_CR52","doi-asserted-by":"publisher","first-page":"e56946","DOI":"10.1371\/journal.pone.0056946","volume":"8","author":"SA Hamilton","year":"2013","unstructured":"Hamilton SA, Tower CL, Jones RL. Identification of chemokines associated with the recruitment of decidual leukocytes in human labour: potential novel targets for preterm labour. PLoS One. 2013;8:e56946.","journal-title":"PLoS One"},{"key":"498_CR53","doi-asserted-by":"publisher","unstructured":"de Jong E, Hancock DG, Wells C, Richmond P, Simmer K, Burgner D, et al. Exposure to chorioamnionitis alters the monocyte transcriptional response to the neonatal pathogen Staphylococcus epidermidis. Immunol Cell Biol. 2018. \n                    https:\/\/doi.org\/10.1111\/imcb.12037\n                    \n                  .","DOI":"10.1111\/imcb.12037"},{"key":"498_CR54","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.3390\/ijms18081709","volume":"18","author":"S Chim","year":"2017","unstructured":"Chim S, Wong K, Chung C, Lam S, Kwok J, Lai C-Y, et al. Systematic Selection of Reference Genes for the Normalization of Circulating RNA Transcripts in Pregnant Women Based on RNA-Seq Data. Int J Mol Sci. 2017;18:1709.","journal-title":"Int J Mol Sci"},{"key":"498_CR55","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s12916-016-0632-4","volume":"14","author":"R Migale","year":"2016","unstructured":"Migale R, MacIntyre DA, Cacciatore S, Lee YS, Hagberg H, Herbert BR, et al. Modeling hormonal and inflammatory contributions to preterm and term labor using uterine temporal transcriptomics. BMC Med. 2016;14:86.","journal-title":"BMC Med"},{"key":"498_CR56","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1093\/biolre\/iox180","volume":"98","author":"AR Willcockson","year":"2018","unstructured":"Willcockson AR, Nandu T, Liu C-L, Nallasamy S, Kraus WL, Mahendroo M. Transcriptome signature identifies distinct cervical pathways induced in lipopolysaccharide-mediated preterm birth. Biol Reprod. 2018;98:408\u201321.","journal-title":"Biol Reprod"},{"key":"498_CR57","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.placenta.2013.11.007","volume":"35","author":"J Saben","year":"2014","unstructured":"Saben J, Zhong Y, McKelvey S, Dajani NK, Andres A, Badger TM, et al. A comprehensive analysis of the human placenta transcriptome. Placenta. 2014;35:125\u201331.","journal-title":"Placenta"},{"key":"498_CR58","doi-asserted-by":"publisher","first-page":"2162","DOI":"10.1016\/S0140-6736(12)60820-4","volume":"379","author":"H Blencowe","year":"2012","unstructured":"Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller A-B, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379:2162\u201372.","journal-title":"Lancet"},{"key":"498_CR59","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1177\/1933719108329095","volume":"16","author":"JR Challis","year":"2009","unstructured":"Challis JR, Lockwood CJ, Myatt L, Norman JE, Strauss JF 3rd, Petraglia F. Inflammation and pregnancy. Reprod Sci. 2009;16:206\u201315.","journal-title":"Reprod Sci"},{"key":"498_CR60","volume-title":"Preterm birth: Causes, consequences, and prevention","author":"RE Behrman","year":"2007","unstructured":"Behrman RE, Butler AS. Preterm birth: Causes, consequences, and prevention. Washington DC: National Academies Press; 2007."},{"key":"498_CR61","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1111\/j.1447-0756.2006.00441.x","volume":"32","author":"N Vitoratos","year":"2006","unstructured":"Vitoratos N, Papadias K, Makrakis E, Christodoulakos G, Panoulis K, Creatsas G. Association between serum tumor necrosis factor-alpha and corticotropin-releasing hormone levels in women with preterm labor. J Obstet Gynaecol Res. 2006;32:497\u2013501.","journal-title":"J Obstet Gynaecol Res"},{"key":"498_CR62","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.siny.2011.08.001","volume":"17","author":"K Flood","year":"2012","unstructured":"Flood K, Malone FD. Prevention of preterm birth. Semin Fetal Neonatal Med. 2012;17:58\u201363.","journal-title":"Semin Fetal Neonatal Med"},{"key":"498_CR63","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1210\/jcem.83.5.4804","volume":"83","author":"C Korebrits","year":"1998","unstructured":"Korebrits C, Ramirez MM, Watson L, Brinkman E, Bocking AD, Challis JR. Maternal corticotropin-releasing hormone is increased with impending preterm birth. J Clin Endocrinol Metab. 1998;83:1585\u201391.","journal-title":"J Clin Endocrinol Metab"},{"key":"498_CR64","doi-asserted-by":"publisher","first-page":"1755","DOI":"10.1016\/S0002-9440(10)65431-4","volume":"154","author":"M Watari","year":"1999","unstructured":"Watari M, Watari H, DiSanto ME, Chacko S, Shi G-P, Strauss JF III. Pro-Inflammatory Cytokines Induce Expression of Matrix-Metabolizing Enzymes in Human Cervical Smooth Muscle Cells. Am J Pathol. 1999;154:1755\u201362.","journal-title":"Am J Pathol"},{"key":"498_CR65","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1177\/1933719113492204","volume":"21","author":"YJ Heng","year":"2014","unstructured":"Heng YJ, Liong S, Permezel M, Rice GE, Di Quinzio MKW, Georgiou HM. The interplay of the interleukin 1 system in pregnancy and labor. Reprod Sci. 2014;21:122\u201330.","journal-title":"Reprod Sci"},{"key":"498_CR66","doi-asserted-by":"publisher","first-page":"B56","DOI":"10.1016\/S0020-7292(00)86293-1","volume":"70","author":"M Watari","year":"2000","unstructured":"Watari M, Watari H, Strauss J. Lipopolysaccharide and pro-inflammatory cytokines induce expression of matrix metabolizing enzymes in human cervical smooth muscle cells-implication in the mechanism of cervical ripening. Int J Gynaecol Obstet. 2000;70:B56.","journal-title":"Int J Gynaecol Obstet"},{"key":"498_CR67","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1038\/ni.1703","volume":"10","author":"L Franchi","year":"2009","unstructured":"Franchi L, Eigenbrod T, Mu\u00f1oz-Planillo R, Nu\u00f1ez G. The inflammasome: a caspase-1-activation platform that regulates immune responses and disease pathogenesis. Nat Immunol. 2009;10:241\u20137.","journal-title":"Nat Immunol"},{"key":"498_CR68","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.3389\/fphar.2015.00262","volume":"6","author":"B-Z Shao","year":"2015","unstructured":"Shao B-Z, Xu Z-Q, Han B-Z, Su D-F, Liu C. NLRP3 inflammasome and its inhibitors: a review. Front Pharmacol. 2015;6:1061.","journal-title":"Front Pharmacol"},{"key":"498_CR69","doi-asserted-by":"crossref","unstructured":"van de Veerdonk FL, Netea MG, Dinarello CA, Joosten LAB. Inflammasome activation and IL-1\u03b2 and IL-18 processing during infection. Trends Immunol. 2011;32:110-16.","DOI":"10.1016\/j.it.2011.01.003"},{"key":"498_CR70","doi-asserted-by":"publisher","first-page":"R581","DOI":"10.1016\/j.cub.2005.07.049","volume":"15","author":"V Petrilli","year":"2005","unstructured":"Petrilli V, Papin S, Tschopp J. The inflammasome. Curr Biol. 2005;15:R581.","journal-title":"Curr Biol"},{"key":"498_CR71","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/s10875-010-9440-3","volume":"30","author":"C Jin","year":"2010","unstructured":"Jin C, Flavell RA. Molecular mechanism of NLRP3 inflammasome activation. J Clin Immunol. 2010;30:628\u201331.","journal-title":"J Clin Immunol"},{"key":"498_CR72","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1080\/14767050802212109","volume":"21","author":"F Gotsch","year":"2008","unstructured":"Gotsch F, Romero R, Chaiworapongsa T, Erez O, Vaisbuch E, Espinoza J, et al. Evidence of the involvement of caspase-1 under physiologic and pathologic cellular stress during human pregnancy: a link between the inflammasome and parturition. J Matern Fetal Neonatal Med. 2008;21:605\u201316.","journal-title":"J Matern Fetal Neonatal Med"},{"key":"498_CR73","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1177\/1933719116687656","volume":"24","author":"N Gomez-Lopez","year":"2017","unstructured":"Gomez-Lopez N, Romero R, Xu Y, Plazyo O, Unkel R, Leng Y, et al. A Role for the Inflammasome in Spontaneous Preterm Labor With Acute Histologic Chorioamnionitis. Reprod Sci. 2017;24:1382\u2013401.","journal-title":"Reprod Sci"},{"key":"498_CR74","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1095\/biolreprod.116.144139","volume":"95","author":"O Plazyo","year":"2016","unstructured":"Plazyo O, Romero R, Unkel R, Balancio A, Mial TN, Xu Y, et al. HMGB1 Induces an Inflammatory Response in the Chorioamniotic Membranes That Is Partially Mediated by the Inflammasome. Biol Reprod. 2016;95:130.","journal-title":"Biol Reprod"},{"key":"498_CR75","doi-asserted-by":"publisher","first-page":"e12440","DOI":"10.1111\/aji.12440","volume":"79","author":"R Romero","year":"2018","unstructured":"Romero R, Xu Y, Plazyo O, Chaemsaithong P, Chaiworapongsa T, Unkel R, et al. A Role for the Inflammasome in Spontaneous Labor at Term. Am J Reprod Immunol. 2018;79:e12440.","journal-title":"Am J Reprod Immunol"},{"key":"498_CR76","doi-asserted-by":"publisher","unstructured":"Panaitescu B, Romero R, Gomez-Lopez N, Xu Y, Leng Y, Maymon E, et al. In vivo evidence of inflammasome activation during spontaneous labor at term. J Matern Neonatal Med. 2019;32:1978\u201391. \n                    https:\/\/doi.org\/10.1080\/14767058.2017.1422714\n                    \n                  .","DOI":"10.1080\/14767058.2017.1422714"},{"key":"498_CR77","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1067\/mob.2000.108881","volume":"183","author":"P Pacora","year":"2000","unstructured":"Pacora P, Romero R, Maymon E, Gervasi MT, Gomez R, Edwin SS, et al. Participation of the novel cytokine interleukin 18 in the host response to intra-amniotic infection. Am J Obstet Gynecol. 2000;183:1138\u201343.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR78","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1210\/en.2010-1105","volume":"152","author":"R Holt","year":"2011","unstructured":"Holt R, Timmons BC, Akgul Y, Akins ML, Mahendroo M. The molecular mechanisms of cervical ripening differ between term and preterm birth. Endocrinology. 2011;152:1036\u201346.","journal-title":"Endocrinology"},{"key":"498_CR79","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/S0002-9378(00)99072-0","volume":"183","author":"E Maymon","year":"2000","unstructured":"Maymon E, Romero R, Pacora P, Gomez R, Athayde N, Edwin S, et al. Human neutrophil collagenase (matrix metalloproteinase 8) in parturition, premature rupture of the membranes, and intrauterine infection. Am J Obstet Gynecol. 2000;183:94\u20139.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR80","doi-asserted-by":"publisher","first-page":"2414","DOI":"10.3109\/14767058.2016.1143928","volume":"29","author":"SM Kim","year":"2016","unstructured":"Kim SM, Romero R, Lee J, Chaemsaithong P, Lee M-W, Chaiyasit N, et al. About one-half of early spontaneous preterm deliveries can be identified by a rapid matrix metalloproteinase-8 (MMP-8) bedside test at the time of mid-trimester genetic amniocentesis. J Matern Fetal Neonatal Med. 2016;29:2414\u201322.","journal-title":"J Matern Fetal Neonatal Med"},{"key":"498_CR81","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1016\/j.ajog.2003.09.032","volume":"190","author":"F Arechavaleta-Velasco","year":"2004","unstructured":"Arechavaleta-Velasco F, Marciano D, D\u00edaz-Cueto L, Parry S. Matrix metalloproteinase-8 is expressed in human chorion during labor. Am J Obstet Gynecol. 2004;190:843\u201350.","journal-title":"Am J Obstet Gynecol"},{"key":"498_CR82","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1111\/1471-0528.13115","volume":"122","author":"SS Witkin","year":"2015","unstructured":"Witkin SS. The vaginal microbiome, vaginal anti-microbial defence mechanisms and the clinical challenge of reducing infection-related preterm birth. BJOG. 2015;122:213\u20138.","journal-title":"BJOG"},{"key":"498_CR83","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/S0167-4781(00)00195-0","volume":"1493","author":"M Farr","year":"2000","unstructured":"Farr M, Str\u00fcbe J, Geppert HG, Kocourek A, Mahne M, Tschesche H. Pregnancy-associated plasma protein-E (PAPP-E). Biochim Biophys Acta. 2000;1493:356\u201362.","journal-title":"Biochim Biophys Acta"},{"key":"498_CR84","doi-asserted-by":"publisher","first-page":"e34328","DOI":"10.1371\/journal.pone.0034328","volume":"7","author":"SSC Chim","year":"2012","unstructured":"Chim SSC, Lee WS, Ting YH, Chan OK, Lee SWY, Leung TY. Systematic identification of spontaneous preterm birth-associated RNA transcripts in maternal plasma. PLoS One. 2012;7:e34328.","journal-title":"PLoS One"},{"key":"498_CR85","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1210\/en.2006-0683","volume":"148","author":"VD Winn","year":"2007","unstructured":"Winn VD, Haimov-Kochman R, Paquet AC, Yang YJ, Madhusudhan MS, Gormley M, et al. Gene expression profiling of the human maternal-fetal interface reveals dramatic changes between midgestation and term. Endocrinology. 2007;148:1059\u201379.","journal-title":"Endocrinology"},{"key":"498_CR86","doi-asserted-by":"publisher","unstructured":"Partl JZ, Karin V, Skrtic A, Nikuseva-Martic T, Serman A, Curkovic-Perica M, et al. Negative regulators of Wnt signaling pathway SFRP1 and SFRP3 expression in preterm and term pathologic placentas. J Matern Neonatal Med. 2018;31:2971\u20139. \n                    https:\/\/doi.org\/10.1080\/14767058.2017.1359830\n                    \n                  .","DOI":"10.1080\/14767058.2017.1359830"},{"key":"498_CR87","doi-asserted-by":"publisher","first-page":"4523","DOI":"10.1038\/s41598-017-04776-5","volume":"7","author":"B Novakovic","year":"2017","unstructured":"Novakovic B, Fournier T, Harris LK, James J, Roberts CT, Yong HEJ, et al. Increased methylation and decreased expression of homeobox genes TLX1, HOXA10 and DLX5 in human placenta are associated with trophoblast differentiation. Sci Rep. 2017;7:4523.","journal-title":"Sci Rep"},{"key":"498_CR88","doi-asserted-by":"publisher","first-page":"1824","DOI":"10.1161\/CIRCULATIONAHA.117.028110","volume":"136","author":"J Zadora","year":"2017","unstructured":"Zadora J, Singh M, Herse F, Przybyl L, Haase N, Golic M, et al. Disturbed Placental Imprinting in Preeclampsia Leads to Altered Expression of DLX5, a Human-Specific Early Trophoblast Marker. Circulation. 2017;136:1824\u201339.","journal-title":"Circulation"},{"key":"498_CR89","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.placenta.2016.03.006","volume":"41","author":"HR Eidem","year":"2016","unstructured":"Eidem HR, Rinker DC, Ackerman WE 4th, Buhimschi IA, Buhimschi CS, Dunn-Fletcher C, et al. Comparing human and macaque placental transcriptomes to disentangle preterm birth pathology from gestational age effects. Placenta. 2016;41:74\u201382.","journal-title":"Placenta"},{"key":"498_CR90","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1002\/bdrc.21122","volume":"108","author":"LM Davidson","year":"2016","unstructured":"Davidson LM, Coward K. Molecular mechanisms of membrane interaction at implantation. Birth Defects Res C Embryo Today. 2016;108:19\u201332.","journal-title":"Birth Defects Res C Embryo Today"},{"key":"498_CR91","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1111\/apha.12431","volume":"213","author":"S Wray","year":"2015","unstructured":"Wray S, Burdyga T, Noble D, Noble K, Borysova L, Arrowsmith S. Progress in understanding electro-mechanical signalling in the myometrium. Acta Physiol. 2015;213:417\u201331.","journal-title":"Acta Physiol"},{"key":"498_CR92","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1038\/aps.2011.62","volume":"32","author":"ILO Buxton","year":"2011","unstructured":"Buxton ILO, Heyman N, Wu Y-Y, Barnett S, Ulrich C. A role of stretch-activated potassium currents in the regulation of uterine smooth muscle contraction. Acta Pharmacol Sin. 2011;32:758\u201364.","journal-title":"Acta Pharmacol Sin"},{"key":"498_CR93","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.coi.2018.03.021","volume":"52","author":"M Vaeth","year":"2018","unstructured":"Vaeth M, Feske S. Ion channelopathies of the immune system. Curr Opin Immunol. 2018;52:39\u201350.","journal-title":"Curr Opin Immunol"},{"key":"498_CR94","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.devcel.2004.12.016","volume":"8","author":"C Gekas","year":"2005","unstructured":"Gekas C, Dieterlen-Li\u00e8vre F, Orkin SH, Mikkola HKA. The placenta is a niche for hematopoietic stem cells. Dev Cell. 2005;8:365\u201375.","journal-title":"Dev Cell"},{"key":"498_CR95","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s00441-016-2429-3","volume":"366","author":"E Khodadi","year":"2016","unstructured":"Khodadi E, Shahrabi S, Shahjahani M, Azandeh S, Saki N. Role of stem cell factor in the placental niche. Cell Tissue Res. 2016;366:523\u201331.","journal-title":"Cell Tissue Res"},{"key":"498_CR96","doi-asserted-by":"publisher","first-page":"5437","DOI":"10.1242\/dev.00755","volume":"130","author":"M Alvarez-Silva","year":"2003","unstructured":"Alvarez-Silva M, Belo-Diabangouaya P, Sala\u00fcn J, Dieterlen-Li\u00e8vre F. Mouse placenta is a major hematopoietic organ. Development. 2003;130:5437\u201344.","journal-title":"Development"},{"key":"498_CR97","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/978-1-59745-418-6_17","volume":"538","author":"K Ottersbach","year":"2009","unstructured":"Ottersbach K, Dzierzak E. Analysis of the mouse placenta as a hematopoietic stem cell niche. Methods Mol Biol. 2009;538:335\u201346.","journal-title":"Methods Mol Biol"},{"key":"498_CR98","doi-asserted-by":"publisher","first-page":"418752","DOI":"10.1155\/2015\/418752","volume":"2015","author":"MD Kuchma","year":"2015","unstructured":"Kuchma MD, Kyryk VM, Svitina HM, Shablii YM, Lukash LL, Lobyntseva GS, et al. Comparative Analysis of the Hematopoietic Progenitor Cells from Placenta, Cord Blood, and Fetal Liver, Based on Their Immunophenotype. Biomed Res Int. 2015;2015:418752.","journal-title":"Biomed Res Int"},{"key":"498_CR99","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1002\/iub.1242","volume":"66","author":"A Mattern","year":"2014","unstructured":"Mattern A, Zellmann T, Beck-Sickinger AG. Processing, signaling, and physiological function of chemerin. IUBMB Life. 2014;66:19\u201326.","journal-title":"IUBMB Life"},{"key":"498_CR100","doi-asserted-by":"publisher","first-page":"2400","DOI":"10.2741\/2853","volume":"13","author":"Y Kobayashi","year":"2008","unstructured":"Kobayashi Y. The role of chemokines in neutrophil biology. Front Biosci. 2008;13:2400\u20137.","journal-title":"Front Biosci"},{"key":"498_CR101","doi-asserted-by":"publisher","first-page":"17953","DOI":"10.1038\/s41598-017-18159-3","volume":"7","author":"ZA Mahmud","year":"2017","unstructured":"Mahmud ZA, Jenkins L, Ulven T, Lab\u00e9gu\u00e8re F, Gosmini R, De Vos S, et al. Three classes of ligands each bind to distinct sites on the orphan G protein-coupled receptor GPR84. Sci Rep. 2017;7:17953.","journal-title":"Sci Rep"},{"key":"498_CR102","doi-asserted-by":"publisher","unstructured":"Presicce P, Park C-W, Senthamaraikannan P, Bhattacharyya S, Jackson C, Kong F, et al. IL-1 signaling mediates intrauterine inflammation and chorio-decidua neutrophil recruitment and activation. JCI Insight. 2018;3. \n                    https:\/\/doi.org\/10.1172\/jci.insight.98306\n                    \n                  .","DOI":"10.1172\/jci.insight.98306"},{"key":"498_CR103","doi-asserted-by":"publisher","first-page":"e49248","DOI":"10.1371\/journal.pone.0049248","volume":"7","author":"L Uusk\u00fcla","year":"2012","unstructured":"Uusk\u00fcla L, M\u00e4nnik J, Rull K, Minajeva A, K\u00f5ks S, Vaas P, et al. Mid-gestational gene expression profile in placenta and link to pregnancy complications. PLoS One. 2012;7:e49248.","journal-title":"PLoS One"},{"key":"498_CR104","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1084\/jem.20031816","volume":"200","author":"YX Zhu","year":"2004","unstructured":"Zhu YX, Benn S, Li ZH, Wei E, Masih-Khan E, Trieu Y, et al. The SH3-SAM adaptor HACS1 is up-regulated in B cell activation signaling cascades. J Exp Med. 2004;200:737\u201347.","journal-title":"J Exp Med"},{"key":"498_CR105","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1080\/15592294.2017.1367475","volume":"12","author":"N Rahmioglu","year":"2017","unstructured":"Rahmioglu N, Drong AW, Lockstone H, Tapmeier T, Hellner K, Saare M, et al. Variability of genome-wide DNA methylation and mRNA expression profiles in reproductive and endocrine disease related tissues. Epigenetics. 2017;12:897\u2013908.","journal-title":"Epigenetics"},{"key":"498_CR106","doi-asserted-by":"publisher","unstructured":"Ackerman WE 4th, Buhimschi IA, Brubaker D, Maxwell S, Rood KM, Chance MR, et al. Integrated microRNA and mRNA network analysis of the human myometrial transcriptome in the transition from quiescence to labor. Biol Reprod. 2018. \n                    https:\/\/doi.org\/10.1093\/biolre\/ioy040\n                    \n                  .","DOI":"10.1093\/biolre\/ioy040"},{"key":"498_CR107","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1053\/j.semperi.2017.07.012","volume":"41","author":"R Menon","year":"2017","unstructured":"Menon R, Richardson LS. Preterm prelabor rupture of the membranes: A disease of the fetal membranes. Semin Perinatol. 2017;41:409\u201319.","journal-title":"Semin Perinatol"},{"key":"498_CR108","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1080\/07853890701806181","volume":"40","author":"J Plunkett","year":"2008","unstructured":"Plunkett J, Muglia LJ. Genetic contributions to preterm birth: implications from epidemiological and genetic association studies. Ann Med. 2008;40:167\u201395.","journal-title":"Ann Med"},{"key":"498_CR109","doi-asserted-by":"publisher","first-page":"e1001365","DOI":"10.1371\/journal.pgen.1001365","volume":"7","author":"J Plunkett","year":"2011","unstructured":"Plunkett J, Doniger S, Orabona G, Morgan T, Haataja R, Hallman M, et al. An Evolutionary Genomic Approach to Identify Genes Involved in Human Birth Timing. PLoS Genet. 2011;7:e1001365.","journal-title":"PLoS Genet"},{"key":"498_CR110","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1097\/01.gim.0000187223.69947.db","volume":"7","author":"KS Crider","year":"2005","unstructured":"Crider KS, Whitehead N, Buus RM. Genetic variation associated with preterm birth: A HuGE review. Genet Med. 2005;7:593\u2013604.","journal-title":"Genet Med"},{"key":"498_CR111","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.3109\/14767058.2010.482618","volume":"23","author":"R Romero","year":"2010","unstructured":"Romero R, Mazaki-Tovi S, Vaisbuch E, Kusanovic JP, Chaiworapongsa T, Gomez R, et al. Metabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery. J Matern Fetal Neonatal Med. 2010;23:1344\u201359.","journal-title":"J Matern Fetal Neonatal Med"},{"key":"498_CR112","doi-asserted-by":"publisher","unstructured":"Kim J. Identification of genes contributing to preterm birth: insights from genetic, transcriptomic, and epigenetic analyses. PhD thesis, University of Iowa, 2012. \n                    https:\/\/doi.org\/10.17077\/etd.p3zuvpa3\n                    \n                  .","DOI":"10.17077\/etd.p3zuvpa3"},{"key":"498_CR113","first-page":"161","volume":"69","author":"M Sans","year":"1997","unstructured":"Sans M, Salzano FM, Chakraborty R. Historical genetics in Uruguay: estimates of biological origins and their problems. Hum Biol. 1997;69:161\u201370.","journal-title":"Hum Biol"},{"key":"498_CR114","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1080\/09723757.2005.11885929","volume":"5","author":"PC Hidalgo","year":"2005","unstructured":"Hidalgo PC, Bengochea M, Abilleira D, Cabrera A, Alvarez I. Genetic Admixture Estimate in the Uruguayan Population Based on the Loci LDLR, GYPA, HBGG, GC and D7S8. Int J Hum Genet. 2005;5:217\u201322.","journal-title":"Int J Hum Genet"},{"key":"498_CR115","doi-asserted-by":"publisher","first-page":"4911","DOI":"10.1093\/hmg\/ddw253","volume":"25","author":"E Yang","year":"2016","unstructured":"Yang E, Wang G, Yang J, Zhou B, Tian Y, Cai JJ. Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action. Hum Mol Genet. 2016;25:4911\u20139.","journal-title":"Hum Mol Genet"},{"key":"498_CR116","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1038\/nature12531","volume":"501","author":"T Lappalainen","year":"2013","unstructured":"Lappalainen T, Sammeth M, Friedl\u00e4nder MR, PAC \u2018t h, Monlong J, Rivas MA, et al. Transcriptome and genome sequencing uncovers functional variation in humans. Nature. 2013;501:506\u201311.","journal-title":"Nature."},{"key":"498_CR117","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1186\/s12885-015-1461-0","volume":"15","author":"M Cappetta","year":"2015","unstructured":"Cappetta M, Berdasco M, Hochmann J, Bonilla C, Sans M, Hidalgo PC, et al. Effect of genetic ancestry on leukocyte global DNA methylation in cancer patients. BMC Cancer. 2015;15:434.","journal-title":"BMC Cancer"}],"container-title":["BMC Medical Genomics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12920-019-0498-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12920-019-0498-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12920-019-0498-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T19:10:37Z","timestamp":1585595437000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedgenomics.biomedcentral.com\/articles\/10.1186\/s12920-019-0498-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,1]]},"references-count":117,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["498"],"URL":"https:\/\/doi.org\/10.1186\/s12920-019-0498-3","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/358945","asserted-by":"object"}]},"ISSN":["1755-8794"],"issn-type":[{"value":"1755-8794","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,1]]},"assertion":[{"value":"5 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The School of Medicine\u2019s Ethics Committee of the University of the Republic (Consejo de la Facultad de Medicina, Exp. N\u00b0 071140\u2013000907-11) and the Pereira Rossell Hospital Center Ethics Committee (Uruguay) both approved the study protocol. Written informed consent was obtained from mothers prior to collection of biological material.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"53"}}