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Published on: June 3, 2016
Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity
Gernot Desoye1, Ursula Hiden1,2, Evelyn Jantscher-Krenn1
1Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria.
Maternal diabetes and obesity during pregnancy can lead to fetal hyperinsulinaemia and neonatal adiposity. However, evidence for deterministic fetal programming of childhood adiposity is lacking, suggesting an opportunistic framework is more appropriate.
Area of Science:
- Human Physiology
- Developmental Biology
- Metabolic Health
Background:
- Excess adiposity is an ancient condition, with evolutionary adaptations in maternal and fetal physiology.
- Intrauterine environmental disturbances, particularly metabolic derangements in diabetic or obese pregnancies, can cause fetal hyperinsulinaemia.
- Fetal hyperinsulinaemia is linked to neonatal adiposity, potentially increasing the risk of childhood adiposity.
Purpose of the Study:
- To review evidence on mechanisms linking in utero exposure to childhood adiposity.
- To focus on pregnancies complicated by maternal diabetes or obesity.
- To critically evaluate the concept of fetal programming of adiposity.
Main Methods:
- Literature review of existing evidence.
- Analysis of factors moderating the in utero exposure-childhood adiposity association.
- Focus on human studies, particularly those involving maternal diabetes and obesity.
Main Results:
- Causal evidence for deterministic fetal programming of adiposity in humans is currently insufficient.
- An opportunistic framework, considering postnatal exposures and genetics, better explains excessive adiposity.
- Individual sensitivity to environmental factors varies with developmental stage.
Conclusions:
- The concept of deterministic fetal programming of adiposity requires re-evaluation in humans.
- Excessive adiposity is multifactorial, influenced by genetics, postnatal environment, and developmental timing.
- Further research is needed to establish causal links and inform interventions.
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