Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases
Open accessAbstract
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.
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The greatest hopes for markers of GDM occurrence are connected with afamine, adiponectin and 1,5-anhydroglucitol.
“The greatest hopes are connected with afamine, adiponectin and 1,5-anhydroglucitol [34,35].”
From Gestational Diabetes Mellitus—Recent Literature Review (2022) · cites this paper as [34]
The Conclusion identifies adiponectin, afamin and 1,5-anhydroglucitol as potential predictors of GDM. It also identifies several other candidates and does not rank these three as the most promising. (LLM, conf=0.83)
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“While some systematic reviews have been conducted on similar topics, they did not specifically examine MetS factors, but rather explored biomarkers associated with placental pathology,(32) central obesity,(33) and predictive(34) or diagnostic biomarkers for metabolic diseases.(35) To date, there has been no systematic…”
BackgroundCorrelation Analysis between GDM and Gut Microbial Composition in Late Pregnancy
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- Authors
- Lorenzo-Almorós, A., Hang, T., Peiró, C., Soriano-Guillén, L., Egido, J., Tuñón, J., & Lorenzo, Ó.
- Affiliations
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (ES)
- Universidad Autónoma de Madrid (ES)
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES)
- Hospital Universitario Fundación Jiménez Díaz (ES)
- Corresponding author
- Lorenzo, Ó.
- Venue
- Cardiovascular Diabetology
- Published
- 2019-10-30
- Volume
- 18
- Issue
- 1
- Pages
- 140-140
- ISSN
- 1475-2840 (ISSN-L)
- PMC
- PMC6820966
- OpenAlex
- W2982430392
- Cited by
- 202
- References
- 179
- Citations by year
- 2026: 19 · 2025: 33 · 2024: 35 · 2023: 31 · 2022: 24 · 2021: 29 · 2020: 27 · 2019: 2 · 2018: 1 · 2017: 1
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Cardiovascular Diabetology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Hispana (submittedVersion)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, public-domain)
- Funders
- Fondo de Investigación Sanitaria (ISC-III) and Fondo Europeo de Desarrollo Regional (FEDER). (PI17/01495)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Keywords
- gestational diabetes mellitus, biomarkers, early diagnosis, insulin resistance, beta-cell dysfunction, adiponectin, visfatin, omentin-1, FABP4, retinol-binding protein 4, placental hormones, sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factor, ficolin-3, follistatin, microRNA, urinary metabolites, ketone bodies, serotonin, metabolic risk, cardiovascular risk, offspring outcomes
- MeSH terms
- Blood Glucose, Cardiovascular Diseases, Energy Metabolism, Female, Humans, Predictive Value of Tests, Pregnancy, Prognosis, Risk Factors, Biomarkers, Comorbidity, Diabetes, Gestational, Risk Assessment, MicroRNAs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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