Placental hormone profiles as predictors of preterm birth in twin pregnancy: A prospective cohort study
The objective of the study was to analyse placental hormone profiles in twin pregnancies to determine if they could be used to predict preterm birth. Progesterone, estradiol, estriol and corticotropin-releasing hormone were measured using competitive immunoassay and radioimmunoassay in serum and sal...
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description | The objective of the study was to analyse placental hormone profiles in twin pregnancies to determine if they could be used to predict preterm birth.
Progesterone, estradiol, estriol and corticotropin-releasing hormone were measured using competitive immunoassay and radioimmunoassay in serum and saliva samples of 98 women with twin pregnancies,at 3 or more gestational timepoints. Hormone profiles throughout gestation were compared between very preterm ( |
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Progesterone, estradiol, estriol and corticotropin-releasing hormone were measured using competitive immunoassay and radioimmunoassay in serum and saliva samples of 98 women with twin pregnancies,at 3 or more gestational timepoints. Hormone profiles throughout gestation were compared between very preterm (<34 weeks; n = 8), preterm (<37 weeks; n = 40) and term (37+ weeks; n = 50) deliveries.
No significant differences were found between preterm and term deliveries in either absolute hormone concentrations or ratios. Estimated hormone concentrations and ratios at 26 weeks did not appear to predict preterm delivery. Salivary and serum hormone concentrations were generally poorly correlated.
Our results suggest that serial progesterone, estradiol, estriol and corticotropin-releasing hormone measurements in saliva and serum are not robust biomarkers for preterm birth in twin pregnancies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0173732</identifier><identifier>PMID: 28278220</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>17β-Estradiol ; Adolescent ; Adult ; Biology and Life Sciences ; Biomarkers ; Biomarkers - blood ; Birth ; Childbirth & labor ; Cohort analysis ; Consent ; Corticotropin ; Corticotropin-releasing hormone ; Corticotropin-Releasing Hormone - blood ; Estradiol - blood ; Estriol - blood ; Female ; Gestation ; Gestational Age ; Health aspects ; Hormones ; Humans ; Immunoassay ; Infant, Newborn ; Medical research ; Medicine and Health Sciences ; Mortality ; Obstetric Labor, Premature - blood ; Obstetric Labor, Premature - diagnosis ; Obstetric Labor, Premature - prevention & control ; Physical Sciences ; Placenta ; Placental hormones ; Placental Hormones - blood ; Predictive Value of Tests ; Pregnancy ; Pregnancy Trimester, Second ; Pregnancy, Twin ; Premature birth ; Progesterone ; Progesterone - blood ; Prospective Studies ; Radioimmunoassay ; Reproductive health ; Saliva ; Sex hormones ; Steroids ; Systematic review ; Vital statistics ; Womens health ; Young Adult</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0173732-e0173732</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Lim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Lim et al 2017 Lim et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-15cf9a80c2207917f8428983a5b31da42540d6f182635b2f9501bd11850ffa3e3</citedby><cites>FETCH-LOGICAL-c725t-15cf9a80c2207917f8428983a5b31da42540d6f182635b2f9501bd11850ffa3e3</cites><orcidid>0000-0003-4308-856X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344513/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344513/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28278220$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Afink, Gijs B</contributor><creatorcontrib>Lim, Hui</creatorcontrib><creatorcontrib>Powell, Sioned</creatorcontrib><creatorcontrib>Mcnamara, Helen C</creatorcontrib><creatorcontrib>Howie, A Forbes</creatorcontrib><creatorcontrib>Doust, Ann</creatorcontrib><creatorcontrib>Bowman, Maria E</creatorcontrib><creatorcontrib>Smith, Roger</creatorcontrib><creatorcontrib>Norman, Jane E</creatorcontrib><creatorcontrib>Stock, Sarah J</creatorcontrib><title>Placental hormone profiles as predictors of preterm birth in twin pregnancy: A prospective cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The objective of the study was to analyse placental hormone profiles in twin pregnancies to determine if they could be used to predict preterm birth.
Progesterone, estradiol, estriol and corticotropin-releasing hormone were measured using competitive immunoassay and radioimmunoassay in serum and saliva samples of 98 women with twin pregnancies,at 3 or more gestational timepoints. Hormone profiles throughout gestation were compared between very preterm (<34 weeks; n = 8), preterm (<37 weeks; n = 40) and term (37+ weeks; n = 50) deliveries.
No significant differences were found between preterm and term deliveries in either absolute hormone concentrations or ratios. Estimated hormone concentrations and ratios at 26 weeks did not appear to predict preterm delivery. Salivary and serum hormone concentrations were generally poorly correlated.
Our results suggest that serial progesterone, estradiol, estriol and corticotropin-releasing hormone measurements in saliva and serum are not robust biomarkers for preterm birth in twin pregnancies.</description><subject>17β-Estradiol</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Birth</subject><subject>Childbirth & labor</subject><subject>Cohort analysis</subject><subject>Consent</subject><subject>Corticotropin</subject><subject>Corticotropin-releasing hormone</subject><subject>Corticotropin-Releasing Hormone - blood</subject><subject>Estradiol - blood</subject><subject>Estriol - blood</subject><subject>Female</subject><subject>Gestation</subject><subject>Gestational Age</subject><subject>Health aspects</subject><subject>Hormones</subject><subject>Humans</subject><subject>Immunoassay</subject><subject>Infant, Newborn</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Obstetric Labor, Premature - blood</subject><subject>Obstetric Labor, Premature - diagnosis</subject><subject>Obstetric Labor, Premature - prevention & control</subject><subject>Physical Sciences</subject><subject>Placenta</subject><subject>Placental hormones</subject><subject>Placental Hormones - blood</subject><subject>Predictive Value of Tests</subject><subject>Pregnancy</subject><subject>Pregnancy Trimester, Second</subject><subject>Pregnancy, Twin</subject><subject>Premature birth</subject><subject>Progesterone</subject><subject>Progesterone - blood</subject><subject>Prospective Studies</subject><subject>Radioimmunoassay</subject><subject>Reproductive health</subject><subject>Saliva</subject><subject>Sex hormones</subject><subject>Steroids</subject><subject>Systematic review</subject><subject>Vital statistics</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjPlqknohDIsfAwsrft2GNE06GdpmNklX59-bOt1lKnuxFNI0ed63JyfnZNlzCJYQM_hu6wbfy3a5c71eAsgww-hBdgpLjBYUAfzwaH6SPQlhC0CBOaWPsxPEEeMIgdOs-dpKpfso23zjfJe88p13xrY65DKkua6tis6H3JnxK2rf5ZX1cZPbPo-_05BWm172av8-X43isNMq2mudK5csYx7iUO-fZo-MbIN-Nr3Psp-fPv44_7K4uPy8Pl9dLBRDRVzAQplScqBScKyEzHCCeMmxLCoMa0lQQUBNDeSI4qJCpiwArGoIeQGMkVjjs-zlwXfXuiCmHAUBOSt4OjUtE7E-ELWTW7HztpN-L5y04t-C842QPlrVasFUBQ2vCOGAE8yqimpWSUh5rSlXePT6MP1tqDpdj4n0sp2Zznd6uxGNuxYFJqSAOBm8mQy8uxp0iKKzQem2lb12wxg3h4wCSu6DMkrKElOW0Ff_oXcnYqIamc5qe-NSiGo0FSvCCSMAIZio5R1UemrdWZXqZayVueDtTJCYqP_ERg4hiPX3b_dnL3_N2ddH7EbLNm6Ca4doXR_mIDmAKtVi8Nrc3gcEYmydm2yIsXXE1DpJ9uL4Lm9FN72C_wIfABLq</recordid><startdate>20170309</startdate><enddate>20170309</enddate><creator>Lim, Hui</creator><creator>Powell, Sioned</creator><creator>Mcnamara, Helen C</creator><creator>Howie, A Forbes</creator><creator>Doust, Ann</creator><creator>Bowman, Maria E</creator><creator>Smith, Roger</creator><creator>Norman, Jane E</creator><creator>Stock, Sarah J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4308-856X</orcidid></search><sort><creationdate>20170309</creationdate><title>Placental hormone profiles as predictors of preterm birth in twin pregnancy: A prospective cohort study</title><author>Lim, Hui ; Powell, Sioned ; Mcnamara, Helen C ; Howie, A Forbes ; Doust, Ann ; Bowman, Maria E ; Smith, Roger ; Norman, Jane E ; Stock, Sarah J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-15cf9a80c2207917f8428983a5b31da42540d6f182635b2f9501bd11850ffa3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>17β-Estradiol</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Birth</topic><topic>Childbirth & labor</topic><topic>Cohort analysis</topic><topic>Consent</topic><topic>Corticotropin</topic><topic>Corticotropin-releasing hormone</topic><topic>Corticotropin-Releasing Hormone - blood</topic><topic>Estradiol - blood</topic><topic>Estriol - blood</topic><topic>Female</topic><topic>Gestation</topic><topic>Gestational Age</topic><topic>Health aspects</topic><topic>Hormones</topic><topic>Humans</topic><topic>Immunoassay</topic><topic>Infant, Newborn</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Mortality</topic><topic>Obstetric Labor, Premature - blood</topic><topic>Obstetric Labor, Premature - diagnosis</topic><topic>Obstetric Labor, Premature - prevention & control</topic><topic>Physical Sciences</topic><topic>Placenta</topic><topic>Placental hormones</topic><topic>Placental Hormones - blood</topic><topic>Predictive Value of Tests</topic><topic>Pregnancy</topic><topic>Pregnancy Trimester, Second</topic><topic>Pregnancy, Twin</topic><topic>Premature birth</topic><topic>Progesterone</topic><topic>Progesterone - blood</topic><topic>Prospective Studies</topic><topic>Radioimmunoassay</topic><topic>Reproductive health</topic><topic>Saliva</topic><topic>Sex hormones</topic><topic>Steroids</topic><topic>Systematic review</topic><topic>Vital statistics</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Hui</creatorcontrib><creatorcontrib>Powell, Sioned</creatorcontrib><creatorcontrib>Mcnamara, Helen C</creatorcontrib><creatorcontrib>Howie, A Forbes</creatorcontrib><creatorcontrib>Doust, Ann</creatorcontrib><creatorcontrib>Bowman, Maria E</creatorcontrib><creatorcontrib>Smith, Roger</creatorcontrib><creatorcontrib>Norman, Jane E</creatorcontrib><creatorcontrib>Stock, Sarah J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Hui</au><au>Powell, Sioned</au><au>Mcnamara, Helen C</au><au>Howie, A Forbes</au><au>Doust, Ann</au><au>Bowman, Maria E</au><au>Smith, Roger</au><au>Norman, Jane E</au><au>Stock, Sarah J</au><au>Afink, Gijs B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Placental hormone profiles as predictors of preterm birth in twin pregnancy: A prospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-03-09</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>e0173732</spage><epage>e0173732</epage><pages>e0173732-e0173732</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The objective of the study was to analyse placental hormone profiles in twin pregnancies to determine if they could be used to predict preterm birth.
Progesterone, estradiol, estriol and corticotropin-releasing hormone were measured using competitive immunoassay and radioimmunoassay in serum and saliva samples of 98 women with twin pregnancies,at 3 or more gestational timepoints. Hormone profiles throughout gestation were compared between very preterm (<34 weeks; n = 8), preterm (<37 weeks; n = 40) and term (37+ weeks; n = 50) deliveries.
No significant differences were found between preterm and term deliveries in either absolute hormone concentrations or ratios. Estimated hormone concentrations and ratios at 26 weeks did not appear to predict preterm delivery. Salivary and serum hormone concentrations were generally poorly correlated.
Our results suggest that serial progesterone, estradiol, estriol and corticotropin-releasing hormone measurements in saliva and serum are not robust biomarkers for preterm birth in twin pregnancies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28278220</pmid><doi>10.1371/journal.pone.0173732</doi><tpages>e0173732</tpages><orcidid>https://orcid.org/0000-0003-4308-856X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 17β-Estradiol Adolescent Adult Biology and Life Sciences Biomarkers Biomarkers - blood Birth Childbirth & labor Cohort analysis Consent Corticotropin Corticotropin-releasing hormone Corticotropin-Releasing Hormone - blood Estradiol - blood Estriol - blood Female Gestation Gestational Age Health aspects Hormones Humans Immunoassay Infant, Newborn Medical research Medicine and Health Sciences Mortality Obstetric Labor, Premature - blood Obstetric Labor, Premature - diagnosis Obstetric Labor, Premature - prevention & control Physical Sciences Placenta Placental hormones Placental Hormones - blood Predictive Value of Tests Pregnancy Pregnancy Trimester, Second Pregnancy, Twin Premature birth Progesterone Progesterone - blood Prospective Studies Radioimmunoassay Reproductive health Saliva Sex hormones Steroids Systematic review Vital statistics Womens health Young Adult |
title | Placental hormone profiles as predictors of preterm birth in twin pregnancy: A prospective cohort study |
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