Ligation of the uterine artery and early postnatal food restriction - Animal models for growth retardation

C. T. Huizinga, M. J.T. Engelbregt, L. T.M. Rekers-Mombarg, S. F.C. Vaessen, H. A. Delemarre-van de Waal, M. Fodor*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    28 Citations (Scopus)

    Abstract

    Intrauterine growth restriction (IUGR) is one of the major causes of short stature in child- and adulthood. The cause of IUGR is unknown, however, an impaired uteroplacental function during the second half of human pregnancy might be an important factor, by affecting the programming of somatotropic axis and leading to postnatal growth failure into adulthood. Two rat models with perinatally induced growth retardation were used to examine the long-term effects of perinatal insults on growth. IUGR rats were prepared from pregnant dams, with a bilateral uterine artery ligation at day 17 of their pregnancy. Since the rat is relatively immature at birth, an early postnatal food restriction model was included as another model to broaden the time window of sensitive period of organogenesis. An individual growth curve was calculated of each animal (n = 813). From these individual growth curves the predicted growth curve for each experimental group was calculated by multilevel analysis. The proposed mathematical model allows us to estimate the growth potentials of these rat models with precision and could provide basic information to investigate the relationships among a number of other variables in future studies. Furthermore, we concluded that both preand early postnatal malnutrition leads to irreversible slowing down of postnatal growth.

    Original languageEnglish
    Pages (from-to)233-240
    Number of pages8
    JournalHormone Research
    Volume62
    Issue number5
    DOIs
    Publication statusPublished - 7 Dec 2004

    Keywords

    • Intrauterine growth restriction
    • IUGR rats
    • Mathematical model
    • Perinatal malnutrition
    • Predicted growth curves

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