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Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches

Worldwide, gestational diabetes affects 2–25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated ma...

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Autores principales: Shashikadze, Bachuki, Flenkenthaler, Florian, Stöckl, Jan B., Valla, Libera, Renner, Simone, Kemter, Elisabeth, Wolf, Eckhard, Fröhlich, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701487/
https://www.ncbi.nlm.nih.gov/pubmed/34946940
http://dx.doi.org/10.3390/genes12121991
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author Shashikadze, Bachuki
Flenkenthaler, Florian
Stöckl, Jan B.
Valla, Libera
Renner, Simone
Kemter, Elisabeth
Wolf, Eckhard
Fröhlich, Thomas
author_facet Shashikadze, Bachuki
Flenkenthaler, Florian
Stöckl, Jan B.
Valla, Libera
Renner, Simone
Kemter, Elisabeth
Wolf, Eckhard
Fröhlich, Thomas
author_sort Shashikadze, Bachuki
collection PubMed
description Worldwide, gestational diabetes affects 2–25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health.
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spelling pubmed-87014872021-12-24 Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches Shashikadze, Bachuki Flenkenthaler, Florian Stöckl, Jan B. Valla, Libera Renner, Simone Kemter, Elisabeth Wolf, Eckhard Fröhlich, Thomas Genes (Basel) Review Worldwide, gestational diabetes affects 2–25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health. MDPI 2021-12-15 /pmc/articles/PMC8701487/ /pubmed/34946940 http://dx.doi.org/10.3390/genes12121991 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Shashikadze, Bachuki
Flenkenthaler, Florian
Stöckl, Jan B.
Valla, Libera
Renner, Simone
Kemter, Elisabeth
Wolf, Eckhard
Fröhlich, Thomas
Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title_full Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title_fullStr Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title_full_unstemmed Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title_short Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches
title_sort developmental effects of (pre-)gestational diabetes on offspring: systematic screening using omics approaches
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701487/
https://www.ncbi.nlm.nih.gov/pubmed/34946940
http://dx.doi.org/10.3390/genes12121991
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