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dc.creatorTalbot,Prue
dc.creatorLin,Sabrina
dc.date2011-01-01
dc.date.accessioned2019-05-02T21:22:01Z
dc.date.available2019-05-02T21:22:01Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0716-97602011000200011
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/82127
dc.descriptionNumerous studies have repeatedly shown that women who smoke experience problems establishing and maintaining pregnancies, and recent work has further demonstrated that the in utero effects of smoke may not be manifested until months or even years after birth. The purpose of this review is to examine the recent literature dealing with the effects of cigarette smoke on the earliest stages of human prenatal development. Studies in this area have included the use of animal models, patients undergoing in vitro fertilization, and embryonic stem cell models. Events leading to fertilization, such as cumulus expansion, hyperactivation of sperm motility, and oocyte pick-up by the oviduct are all impaired by smoke exposure in animal models. Steps crucial to fertilization such as the acrosome reaction and sperm binding to the zona pellucida are likewise inhibited by cigarette smoke. Preimplantation embryos and stem cells that model embryos show a number of adverse responses to smoke exposure, including poor adhesion to extracellular matrices, diminished survival and proliferation, and increased apoptosis. The current literature demonstrates that the earliest stages of prenatal development are sensitive to smoke exposure and indicates that pregnant women should be advised not to smoke during this time.
dc.formattext/html
dc.languageen
dc.publisherSociedad de Biología de Chile
dc.relation10.4067/S0716-97602011000200011
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceBiological Research v.44 n.2 2011
dc.subjectcigarette smoke
dc.subjectembryos
dc.subjectfertilization
dc.subjectIVF
dc.subjectstem cells
dc.subjecttoxicology
dc.titleThe effect of cigarette smoke on fertilization and pre-implantation development: assessment using animal models, clinical data, and stem cells


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