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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8701487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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