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Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review

Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore...

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Autores principales: Bogdanet, Delia, Reddin, Catriona, Murphy, Dearbhla, Doheny, Helen C., Halperin, Jose A., Dunne, Fidelma, O’Shea, Paula M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038821/
https://www.ncbi.nlm.nih.gov/pubmed/33917484
http://dx.doi.org/10.3390/jcm10071533
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author Bogdanet, Delia
Reddin, Catriona
Murphy, Dearbhla
Doheny, Helen C.
Halperin, Jose A.
Dunne, Fidelma
O’Shea, Paula M.
author_facet Bogdanet, Delia
Reddin, Catriona
Murphy, Dearbhla
Doheny, Helen C.
Halperin, Jose A.
Dunne, Fidelma
O’Shea, Paula M.
author_sort Bogdanet, Delia
collection PubMed
description Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017–2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century.
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spelling pubmed-80388212021-04-12 Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review Bogdanet, Delia Reddin, Catriona Murphy, Dearbhla Doheny, Helen C. Halperin, Jose A. Dunne, Fidelma O’Shea, Paula M. J Clin Med Review Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017–2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century. MDPI 2021-04-06 /pmc/articles/PMC8038821/ /pubmed/33917484 http://dx.doi.org/10.3390/jcm10071533 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
Bogdanet, Delia
Reddin, Catriona
Murphy, Dearbhla
Doheny, Helen C.
Halperin, Jose A.
Dunne, Fidelma
O’Shea, Paula M.
Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title_full Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title_fullStr Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title_full_unstemmed Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title_short Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
title_sort emerging protein biomarkers for the diagnosis or prediction of gestational diabetes—a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038821/
https://www.ncbi.nlm.nih.gov/pubmed/33917484
http://dx.doi.org/10.3390/jcm10071533
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