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...

Full description

Bibliographic Details
Main Authors: A. Lorenzo-Almorós, T. Hang, C. Peiró, L. Soriano-Guillén, J. Egido, J. Tuñón, Ó. Lorenzo
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Cardiovascular Diabetology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12933-019-0935-9
id doaj-f4704e7b6df843feb35a162858fc9cf2
record_format Article
spelling 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
work_keys_str_mv AT alorenzoalmoros predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT thang predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT cpeiro predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT lsorianoguillen predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT jegido predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT jtunon predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
AT olorenzo predictiveanddiagnosticbiomarkersforgestationaldiabetesanditsassociatedmetabolicandcardiovasculardiseases
_version_ 1724441601237843968