-
Something wrong with this record ?
A stochastic model for early placental development
SL. Cotter, V. Klika, L. Kimpton, S. Collins, AE. Heazell,
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 2004
PubMed Central
from 2004 to 1 year ago
Europe PubMed Central
from 2004 to 1 year ago
Open Access Digital Library
from 2004-01-01
Open Access Digital Library
from 2004-11-22
- MeSH
- Umbilical Arteries physiology MeSH
- Models, Biological * MeSH
- Embryonic Development physiology MeSH
- Neovascularization, Physiologic physiology MeSH
- Oxygen metabolism MeSH
- Humans MeSH
- Organogenesis physiology MeSH
- Placenta embryology MeSH
- Placentation MeSH
- Computer Simulation MeSH
- Models, Statistical MeSH
- Stochastic Processes MeSH
- Pregnancy MeSH
- Check Tag
- Humans MeSH
- Pregnancy MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
In the human, placental structure is closely related to placental function and consequent pregnancy outcome. Studies have noted abnormal placental shape in small-for-gestational-age infants which extends to increased lifetime risk of cardiovascular disease. The origins and determinants of placental shape are incompletely understood and are difficult to study in vivo. In this paper, we model the early development of the human placenta, based on the hypothesis that this is driven by a chemoattractant effect emanating from proximal spiral arteries in the decidua. We derive and explore a two-dimensional stochastic model, and investigate the effects of loss of spiral arteries in regions near to the cord insertion on the shape of the placenta. This model demonstrates that disruption of spiral arteries can exert profound effects on placental shape, particularly if this is close to the cord insertion. Thus, placental shape reflects the underlying maternal vascular bed. Abnormal placental shape may reflect an abnormal uterine environment, predisposing to pregnancy complications. Through statistical analysis of model placentas, we are able to characterize the probability that a given placenta grew in a disrupted environment, and even able to distinguish between different disruptions.
Mathematical Institute University of Oxford Woodstock Road Oxford UK
School of Mathematics University of Manchester Oxford Road Manchester UK
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc15014294
- 003
- CZ-PrNML
- 005
- 20150428103726.0
- 007
- ta
- 008
- 150420s2014 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1098/rsif.2014.0149 $2 doi
- 035 __
- $a (PubMed)24850904
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Cotter, Simon L $u School of Mathematics, University of Manchester, Oxford Road, Manchester, UK simon.cotter@manchester.ac.uk.
- 245 12
- $a A stochastic model for early placental development / $c SL. Cotter, V. Klika, L. Kimpton, S. Collins, AE. Heazell,
- 520 9_
- $a In the human, placental structure is closely related to placental function and consequent pregnancy outcome. Studies have noted abnormal placental shape in small-for-gestational-age infants which extends to increased lifetime risk of cardiovascular disease. The origins and determinants of placental shape are incompletely understood and are difficult to study in vivo. In this paper, we model the early development of the human placenta, based on the hypothesis that this is driven by a chemoattractant effect emanating from proximal spiral arteries in the decidua. We derive and explore a two-dimensional stochastic model, and investigate the effects of loss of spiral arteries in regions near to the cord insertion on the shape of the placenta. This model demonstrates that disruption of spiral arteries can exert profound effects on placental shape, particularly if this is close to the cord insertion. Thus, placental shape reflects the underlying maternal vascular bed. Abnormal placental shape may reflect an abnormal uterine environment, predisposing to pregnancy complications. Through statistical analysis of model placentas, we are able to characterize the probability that a given placenta grew in a disrupted environment, and even able to distinguish between different disruptions.
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a embryonální vývoj $x fyziologie $7 D047108
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a biologické modely $7 D008954
- 650 _2
- $a statistické modely $7 D015233
- 650 _2
- $a fyziologická neovaskularizace $x fyziologie $7 D018919
- 650 _2
- $a organogeneze $x fyziologie $7 D038081
- 650 _2
- $a kyslík $x metabolismus $7 D010100
- 650 _2
- $a placenta $x embryologie $7 D010920
- 650 _2
- $a těhotenství $7 D011247
- 650 _2
- $a stochastické procesy $7 D013269
- 650 _2
- $a arteriae umbilicales $x fyziologie $7 D014469
- 650 _2
- $a placentace $7 D010929
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Klika, Václav $u Department of Mathematics, FNSPE, Czech Technical University in Prague, Trojanova 13, Prague 2 12000, Czech Republic Mathematical Institute, University of Oxford, Woodstock Road, Oxford, UK.
- 700 1_
- $a Kimpton, Laura $u Mathematical Institute, University of Oxford, Woodstock Road, Oxford, UK.
- 700 1_
- $a Collins, Sally $u Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK Fetal Medicine Unit, John Radcliffe Hospital, Oxford, UK.
- 700 1_
- $a Heazell, Alexander E P $u Institute of Human Development, Maternal and Fetal Health Research Centre, University of Manchester, Manchester, UK Maternal and Fetal Health Research Centre, St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
- 773 0_
- $w MED00180378 $t Journal of the Royal Society, Interface the Royal Society $x 1742-5662 $g Roč. 11, č. 97 (2014), s. 20140149
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/24850904 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20150420 $b ABA008
- 991 __
- $a 20150428104030 $b ABA008
- 999 __
- $a ok $b bmc $g 1071875 $s 897172
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2014 $b 11 $c 97 $d 20140149 $i 1742-5662 $m Journal of the Royal Society, Interface $n J R Soc Interface $x MED00180378
- LZP __
- $a Pubmed-20150420