{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T17:39:46Z","timestamp":1785778786712,"version":"3.56.0"},"reference-count":40,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2024,2,4]],"date-time":"2024-02-04T00:00:00Z","timestamp":1707004800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN\u20102015\u201005219"],"award-info":[{"award-number":["RGPIN\u20102015\u201005219"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To assess whether labour variables (i.e. individuals characteristics, labour characteristics and medical interventions) impact maternal and newborn microbiomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p>Prospective monocentric study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting<\/jats:title><jats:p>Saint\u2010Joseph Hospital tertiary maternity unit, in Paris, France.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>All consecutive primiparous women with a physiological pregnancy and term labour from 15 April to 1 June 2017.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>16S ribosomal RNA gene sequencing of the maternal vaginal, newborn skin and newborn oral microbiomes from 58 mother\u2013baby dyads.<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>Analysis of the effects of 19 labour variables on the composition and diversity of these microbiomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The 19 labour variables explained a significant part of the variability in the vaginal, newborn oral and skin microbiomes (44%\u201367%). Strikingly, duration of rupture of membranes was the single factor that explained the greatest variability (adjusted <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>: 7.7%\u20138.4%, <jats:italic>p<\/jats:italic>\u2009\u2264\u20090.002) and conditioned, by itself, the compositions of the three microbiomes under study. Long duration of rupture of membranes was specifically associated with a lower relative abundance of the <jats:italic>Lactobacillus<\/jats:italic> genus (1.7\u2010fold to 68\u2010fold reduction, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.0001) as well as an increase in microbiome diversity, including genera implicated in nosocomial infections. The effects of duration of rupture of membranes were also present in newborns delivered by non\u2010elective caesarean section.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Maternal and newborn microbiomes were greatly affected by labour variables. Duration of rupture of membranes, even in non\u2010elective caesarean sections, should be considered in epidemiological and microbiological studies, as well as in vaginal seeding practices.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.17774","type":"journal-article","created":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T02:29:10Z","timestamp":1707100150000},"page":"1249-1258","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Duration of rupture of membranes and microbiome transmission to the newborn: A prospective study"],"prefix":"10.1111","volume":"131","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5829-6142","authenticated-orcid":false,"given":"Ma\u00eft\u00e9","family":"Rib\u00e8re","sequence":"first","affiliation":[{"name":"D\u00e9partement de Sciences Biologiques Universit\u00e9 de Montr\u00e9al  Montr\u00e9al Qu\u00e9bec 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