Cited by 96Pregnancy and preeclampsia studiesBirth, Development, and HealthPoint processes and geometric inequalities

Modeling the Variability of Shapes of a Human Placenta

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Yampolsky, M., Salafia, C.M., Shlakhter, O., Haas, D., Eucker, B., Thorp, J.·2008·Placenta

Abstract

Background Placentas are generally round/oval in shape, but "irregular" shapes are common. In the Collaborative Perinatal Project data, irregular shapes were associated with lower birth weight for placental weight, suggesting variably shaped placentas have altered function.Methods (I) Using a 3D one-parameter model of placental vascular growth based on Diffusion Limited Aggregation (an accepted model for generating highly branched fractals), models were run with a branching density growth parameter either fixed or perturbed at either 5-7% or 50% of model growth. (II) In a data set with detailed measures of 1207 placental perimeters, radial standard deviations of placental shapes were calculated from the umbilical cord insertion, and from the centroid of the shape (a biologically arbitrary point). These two were compared to the difference between the observed scaling exponent and the Kleiber scaling exponent (0.75), considered optimal for vascular fractal transport systems. Spearman's rank correlation considered p<0.05 significant.Results (I) Unperturbed, random values of the growth parameter created round/oval fractal shapes. Perturbation at 5-7% of model growth created multilobate shapes, while perturbation at 50% of model growth created "star-shaped" fractals. (II) The radial standard deviation of the perimeter from the umbilical cord (but not from the centroid) was associated with differences from the Kleiber exponent (p=0.006).Conclusions A dynamical DLA model recapitulates multilobate and "star" placental shapes via changing fractal branching density. We suggest that (1) irregular placental outlines reflect deformation of the underlying placental fractal vascular network, (2) such irregularities in placental outline indicate sub-optimal branching structure of the vascular tree, and (3) this accounts for the lower birth weight observed in non-round/oval placentas in the Collaborative Perinatal Project.

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Crossref · 10.1016/j.placenta.2008.06.005

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  • At present, data show that elliptical placentas tend to be less efficient than circular ones.

    “At present, data show that elliptical placentas tend to be less efficient than circular ones (590), but more research is needed to understand the underlying biology.”

    From Placental Origins of Chronic Disease (2016) · cites this paper as [590]

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Authors
Yampolsky, M., Salafia, C. M., Shlakhter, O., Haas, D., Eucker, B., & Thorp, J.
Affiliations
  • University of Toronto (CA)
  • St. Luke's-Roosevelt Hospital Center (US)
  • University of North Carolina at Chapel Hill (US)
Corresponding author
Yampolsky, M.
Venue
Placenta
Publisher
Elsevier BV
Published
2008-09
Volume
29
Issue
9
Pages
790-797
ISSN
0143-4004 (ISSN-L)
OpenAlex
W2137165337
Cited by
96
References
65
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 6 · 2021: 8 · 2020: 7 · 2019: 3 · 2018: 6 · 2017: 2 · 2016: 4 · 2015: 4 · 2014: 4 · 2013: 8 · 2012: 6
FWCI
6.49
Type
journal article
Language
en
Open access
Locations
  • Placenta (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health (K23MH06785, K23MH067857)
  • Institute for Pure and Applied Mathematics, University of California, Los Angeles
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
  • Physical Sciences › Mathematics › Applied Mathematics › Point processes and geometric inequalities
Keywords
placental shape, diffusion-limited aggregation, scaling exponents, umbilical cord insertion, branching density, birth weight, Collaborative Perinatal Project, placental function
MeSH terms
Computer Simulation, Female, Humans, Models, Anatomic, Models, Biological, Placenta, Pregnancy, Cohort Studies

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