Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases
Abstract 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...
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doaj-f4704e7b6df843feb35a162858fc9cf22020-11-25T04:02:57ZengBMCCardiovascular Diabetology1475-28402019-10-0118111610.1186/s12933-019-0935-9Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseasesA. Lorenzo-Almorós0T. Hang1C. Peiró2L. Soriano-Guillén3J. Egido4J. Tuñón5Ó. Lorenzo6Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de MadridRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de MadridDepartment of Pharmacology, School of Medicine, Universidad Autónoma de MadridDepartment of Paediatrics, IIS-Fundación Jiménez Díaz, UAMRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de MadridDepartment of Cardiology, Fundación Jiménez DíazRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de MadridAbstract 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.http://link.springer.com/article/10.1186/s12933-019-0935-9Gestational diabetesPredictive biomarkersDiagnostic biomarkersMetabolic diseaseCardiovascular disease |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Lorenzo-Almorós T. Hang C. Peiró L. Soriano-Guillén J. Egido J. Tuñón Ó. Lorenzo |
spellingShingle |
A. Lorenzo-Almorós T. Hang C. Peiró L. Soriano-Guillén J. Egido J. Tuñón Ó. Lorenzo Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases Cardiovascular Diabetology Gestational diabetes Predictive biomarkers Diagnostic biomarkers Metabolic disease Cardiovascular disease |
author_facet |
A. Lorenzo-Almorós T. Hang C. Peiró L. Soriano-Guillén J. Egido J. Tuñón Ó. Lorenzo |
author_sort |
A. Lorenzo-Almorós |
title |
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_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_sort |
predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases |
publisher |
BMC |
series |
Cardiovascular Diabetology |
issn |
1475-2840 |
publishDate |
2019-10-01 |
description |
Abstract 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. |
topic |
Gestational diabetes Predictive biomarkers Diagnostic biomarkers Metabolic disease Cardiovascular disease |
url |
http://link.springer.com/article/10.1186/s12933-019-0935-9 |
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