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Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases
Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820966/ https://www.ncbi.nlm.nih.gov/pubmed/31666083 http://dx.doi.org/10.1186/s12933-019-0935-9 |
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author | Lorenzo-Almorós, A. Hang, T. Peiró, C. Soriano-Guillén, L. Egido, J. Tuñón, J. Lorenzo, Ó. |
author_facet | Lorenzo-Almorós, A. Hang, T. Peiró, C. Soriano-Guillén, L. Egido, J. Tuñón, J. Lorenzo, Ó. |
author_sort | Lorenzo-Almorós, A. |
collection | PubMed |
description | Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st–2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM. |
format | Online Article Text |
id | pubmed-6820966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68209662019-11-04 Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases Lorenzo-Almorós, A. Hang, T. Peiró, C. Soriano-Guillén, L. Egido, J. Tuñón, J. Lorenzo, Ó. Cardiovasc Diabetol Review Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st–2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM. BioMed Central 2019-10-30 /pmc/articles/PMC6820966/ /pubmed/31666083 http://dx.doi.org/10.1186/s12933-019-0935-9 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Lorenzo-Almorós, A. Hang, T. Peiró, C. Soriano-Guillén, L. Egido, J. Tuñón, J. Lorenzo, Ó. Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title | Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title_full | Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title_fullStr | Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title_full_unstemmed | Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title_short | Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
title_sort | predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820966/ https://www.ncbi.nlm.nih.gov/pubmed/31666083 http://dx.doi.org/10.1186/s12933-019-0935-9 |
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