Cargando…
Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol
INTRODUCTION: The significant maternal and neonatal outcomes of gestational diabetes mellitus (GDM) make it a major public health concern. Mothers with GDM are at greater risk of pregnancy complications and their offspring are at higher risk of diabetes and obesity. Currently, GDM is diagnosed with...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021770/ https://www.ncbi.nlm.nih.gov/pubmed/35443950 http://dx.doi.org/10.1136/bmjopen-2021-054773 |
_version_ | 1784689908786397184 |
---|---|
author | Andrews, Chloe Toth-Castillo, Michelle Aktas, Huseyin Fernandez, Miguel-Angel Luque Wong, Steven Koon Sen, Sarbattama Halperin, Jose |
author_facet | Andrews, Chloe Toth-Castillo, Michelle Aktas, Huseyin Fernandez, Miguel-Angel Luque Wong, Steven Koon Sen, Sarbattama Halperin, Jose |
author_sort | Andrews, Chloe |
collection | PubMed |
description | INTRODUCTION: The significant maternal and neonatal outcomes of gestational diabetes mellitus (GDM) make it a major public health concern. Mothers with GDM are at greater risk of pregnancy complications and their offspring are at higher risk of diabetes and obesity. Currently, GDM is diagnosed with glucose load methods which are time-consuming and inconvenient to administer more than once during pregnancy; for this reason, there is a recognised need for a more accurate and simpler test for GDM. Previous studies indicate that plasma-glycated CD59 (pGCD59) is a novel biomarker for GDM. We present here the protocol of a prospective cohort study designed to (1) determine the accuracy of pGCD59 as an early, first trimester predictor of GDM and gestational impaired glucose tolerance and (2) assess the associations between pGCD59 levels and adverse maternal and neonatal outcomes. METHODS AND ANALYSIS: We will obtain discarded plasma samples from pregnant women at two time points: first prenatal visit (usually <14 weeks gestation) and gestational weeks 24–28. A study-specific medical record abstraction tool will be used to obtain relevant maternal and neonatal clinical data from the EPIC clinical database. The prevalence of GDM will be determined using standard of care glucose load test results. We will determine the sensitivity and specificity of pGCD59 to predict the diagnosis of GDM and gestational impaired glucose tolerance, as well as the associations between levels of pGCD59 and the prevalence of maternal and neonatal outcomes. ETHICS AND DISSEMINATION: This study has been approved by the Mass General Brigham Institutional Review Board (protocol 2011P002254). The results of this study will be presented at international meetings and disseminated in peer-reviewed journals. |
format | Online Article Text |
id | pubmed-9021770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-90217702022-05-04 Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol Andrews, Chloe Toth-Castillo, Michelle Aktas, Huseyin Fernandez, Miguel-Angel Luque Wong, Steven Koon Sen, Sarbattama Halperin, Jose BMJ Open Diabetes and Endocrinology INTRODUCTION: The significant maternal and neonatal outcomes of gestational diabetes mellitus (GDM) make it a major public health concern. Mothers with GDM are at greater risk of pregnancy complications and their offspring are at higher risk of diabetes and obesity. Currently, GDM is diagnosed with glucose load methods which are time-consuming and inconvenient to administer more than once during pregnancy; for this reason, there is a recognised need for a more accurate and simpler test for GDM. Previous studies indicate that plasma-glycated CD59 (pGCD59) is a novel biomarker for GDM. We present here the protocol of a prospective cohort study designed to (1) determine the accuracy of pGCD59 as an early, first trimester predictor of GDM and gestational impaired glucose tolerance and (2) assess the associations between pGCD59 levels and adverse maternal and neonatal outcomes. METHODS AND ANALYSIS: We will obtain discarded plasma samples from pregnant women at two time points: first prenatal visit (usually <14 weeks gestation) and gestational weeks 24–28. A study-specific medical record abstraction tool will be used to obtain relevant maternal and neonatal clinical data from the EPIC clinical database. The prevalence of GDM will be determined using standard of care glucose load test results. We will determine the sensitivity and specificity of pGCD59 to predict the diagnosis of GDM and gestational impaired glucose tolerance, as well as the associations between levels of pGCD59 and the prevalence of maternal and neonatal outcomes. ETHICS AND DISSEMINATION: This study has been approved by the Mass General Brigham Institutional Review Board (protocol 2011P002254). The results of this study will be presented at international meetings and disseminated in peer-reviewed journals. BMJ Publishing Group 2022-04-19 /pmc/articles/PMC9021770/ /pubmed/35443950 http://dx.doi.org/10.1136/bmjopen-2021-054773 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Diabetes and Endocrinology Andrews, Chloe Toth-Castillo, Michelle Aktas, Huseyin Fernandez, Miguel-Angel Luque Wong, Steven Koon Sen, Sarbattama Halperin, Jose Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title | Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title_full | Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title_fullStr | Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title_full_unstemmed | Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title_short | Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
title_sort | plasma-glycated cd59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol |
topic | Diabetes and Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021770/ https://www.ncbi.nlm.nih.gov/pubmed/35443950 http://dx.doi.org/10.1136/bmjopen-2021-054773 |
work_keys_str_mv | AT andrewschloe plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT tothcastillomichelle plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT aktashuseyin plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT fernandezmiguelangelluque plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT wongstevenkoon plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT sensarbattama plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol AT halperinjose plasmaglycatedcd59asanearlybiomarkerforgestationaldiabetesmellitusprospectivecohortstudyprotocol |