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Influence of Gestational Diabetes and Pregestational Maternal BMI on the Brain of Six-Year-Old Offspring

Authors :
Jordi Manuello
Juan Verdejo-Román
Francisco Torres Espínola
Mireia Escudero-Marín
Andrés Catena
Franco Cauda
Cristina Campoy
Source :
Pediatric Neurology. 133:55-62
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Background: Gestational diabetes (GD) and maternal excess weight are common pregnancy conditions that increase the risk of future complications for both the mother and her offspring. Their consequences on neurodevelopment are widely described in the literature, but less is known concerning the potential transgenerational influence on the brain structure. Methods: We used a combination of support vectors machine and hierarchical clustering to investigate the potential presence of anatomical brain differences in a sample of 109 children aged six years, born to mothers with overweight or obesity, or to mothers diagnosed with GD during pregnancy. Results: Significant effects are visible in the brain of children born to mothers with GD associated with pregestational excess weight, especially overweight instead of obesity. No differences in children's brain were observed when considering those born to normal-weight mothers. Conclusions: Our study highlights the need for clinical attention of pregnant women at risk to develop GD, and especially those with pregestational excess weight, since this status was found to be associated with detectable transgenerational brain changes. These effects may be due to the absence of specific and individualized intervention in these mothers during pregnancy.<br />Spanish Ministry of Innovation and Science. Junta de Andalucía: Excellence Projects (P06-CTS-02341)<br />Spanish Ministry of Economy and Competitiveness (BFU2012-40254-C03-01)<br />DynaHEALTH EU Project - HORIZON 2020 Research and Innovation Programme, Grant Agreement No 633595<br />Spanish Ministry of Science, Innovation and Universities (FJCI-2017-33396)

Details

ISSN :
08878994
Volume :
133
Database :
OpenAIRE
Journal :
Pediatric Neurology
Accession number :
edsair.doi.dedup.....0249fcfc52aee376368517bb4af356a7