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Published on: May 21, 2015
Maternal Diabetes and Fetal Programming Toward Neurological Diseases: Beyond Neural Tube Defects
Berenice Márquez-Valadez1,2, Rocío Valle-Bautista1,2, Guadalupe García-López1
1Department of Physiology and Cell Development, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.
Abstract:
The purpose of this review was to search for experimental or clinical evidence on the effect of hyperglycemia in fetal programming to neurological diseases, excluding evident neural tube defects. The lack of timely diagnosis and the inadequate control of diabetes during pregnancy have been related with postnatal obesity, low intellectual and verbal coefficients, language and motor deficits, attention deficit with hyperactivity, problems in psychosocial development, and an increased predisposition to autism and schizophrenia. It has been proposed that several childhood or adulthood diseases have their origin during fetal development through a phenomenon called fetal programming. However, not all the relationships between the outcomes mentioned above and diabetes during gestation are clear, well-studied, or have been related to fetal programming. To understand this relationship, it is imperative to understand how developmental processes take place in health, in order to understand how the functional cytoarchitecture of the central nervous system takes place; to identify changes prompted by hyperglycemia, and to correlate them with the above postnatal impaired functions. Although changes in the establishment of patterns during central nervous system fetal development are related to a wide variety of neurological pathologies, the mechanism by which several maternal conditions promote fetal alterations that contribute to impaired neural development with postnatal consequences are not clear. Animal models have been extremely useful in studying the effect of maternal pathologies on embryo and fetal development, since obtaining central nervous system tissue in humans with normal appearance during fetal development is an important limitation. This review explores the state of the art on this topic, to help establish the way forward in the study of fetal programming under hyperglycemia and its impact on neurological and psychiatric disorders.
Insights
Maternal hyperglycemia during pregnancy may impact fetal development, potentially leading to neurological and psychiatric disorders later in life. Further research is needed to clarify these fetal programming effects.
Area of Science:
- Neuroscience
- Developmental Biology
- Endocrinology
Background:
- Maternal diabetes and hyperglycemia are linked to adverse neurodevelopmental outcomes in offspring.
- Fetal programming suggests prenatal conditions can influence long-term health, including neurological and psychiatric disorders.
- The precise mechanisms linking gestational hyperglycemia to specific neurological deficits remain unclear.
Purpose of the Study:
- To review existing evidence on the impact of maternal hyperglycemia on fetal programming of neurological diseases.
- To explore the relationship between gestational diabetes and postnatal neurodevelopmental issues.
- To identify knowledge gaps and guide future research in this area.
Main Methods:
- Comprehensive literature search for experimental and clinical studies.
- Analysis of animal models and human data where available.
- Focus on neurological outcomes excluding neural tube defects.
Main Results:
- Gestational hyperglycemia is associated with increased risks of postnatal obesity, cognitive deficits, and behavioral problems.
- Evidence suggests a role for fetal programming in conditions like ADHD, autism, and schizophrenia.
- Animal models are crucial for studying these effects due to limitations in human fetal tissue acquisition.
Conclusions:
- Maternal hyperglycemia during pregnancy is a significant risk factor for altered fetal neurodevelopment.
- Understanding fetal programming mechanisms is key to preventing or mitigating these neurological consequences.
- Further research, particularly utilizing animal models, is essential to elucidate these complex pathways.
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