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Precision gestational diabetes treatment: a systematic review and meta-analyses

BACKGROUND: Gestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the k...

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Autores principales: Benham, Jamie L., Gingras, Véronique, McLennan, Niamh-Maire, Most, Jasper, Yamamoto, Jennifer M., Aiken, Catherine E., Ozanne, Susan E., Reynolds, Rebecca M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550921/
https://www.ncbi.nlm.nih.gov/pubmed/37794196
http://dx.doi.org/10.1038/s43856-023-00371-0
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author Benham, Jamie L.
Gingras, Véronique
McLennan, Niamh-Maire
Most, Jasper
Yamamoto, Jennifer M.
Aiken, Catherine E.
Ozanne, Susan E.
Reynolds, Rebecca M.
author_facet Benham, Jamie L.
Gingras, Véronique
McLennan, Niamh-Maire
Most, Jasper
Yamamoto, Jennifer M.
Aiken, Catherine E.
Ozanne, Susan E.
Reynolds, Rebecca M.
author_sort Benham, Jamie L.
collection PubMed
description BACKGROUND: Gestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the known heterogeneity in GDM, treatment guidelines and approaches are generally standardized. We hypothesized that a precision medicine approach could be a tool for risk-stratification of women to streamline successful GDM management. With the relatively short timeframe available to treat GDM, commencing effective therapy earlier, with more rapid normalization of hyperglycaemia, could have benefits for both mother and fetus. METHODS: We conducted two systematic reviews, to identify precision markers that may predict effective lifestyle and pharmacological interventions. RESULTS: There was a paucity of studies examining precision lifestyle-based interventions for GDM highlighting the pressing need for further research in this area. We found a number of precision markers identified from routine clinical measures that may enable earlier identification of those requiring escalation of pharmacological therapy (to metformin, sulphonylureas or insulin). This included previous history of GDM, Body Mass Index and blood glucose concentrations at diagnosis. CONCLUSIONS: Clinical measurements at diagnosis could potentially be used as precision markers in the treatment of GDM. Whether there are other sensitive markers that could be identified using more complex individual-level data, such as omics, and if these can feasibly be implemented in clinical practice remains unknown. These will be important to consider in future studies.
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spelling pubmed-105509212023-10-06 Precision gestational diabetes treatment: a systematic review and meta-analyses Benham, Jamie L. Gingras, Véronique McLennan, Niamh-Maire Most, Jasper Yamamoto, Jennifer M. Aiken, Catherine E. Ozanne, Susan E. Reynolds, Rebecca M. Commun Med (Lond) Article BACKGROUND: Gestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the known heterogeneity in GDM, treatment guidelines and approaches are generally standardized. We hypothesized that a precision medicine approach could be a tool for risk-stratification of women to streamline successful GDM management. With the relatively short timeframe available to treat GDM, commencing effective therapy earlier, with more rapid normalization of hyperglycaemia, could have benefits for both mother and fetus. METHODS: We conducted two systematic reviews, to identify precision markers that may predict effective lifestyle and pharmacological interventions. RESULTS: There was a paucity of studies examining precision lifestyle-based interventions for GDM highlighting the pressing need for further research in this area. We found a number of precision markers identified from routine clinical measures that may enable earlier identification of those requiring escalation of pharmacological therapy (to metformin, sulphonylureas or insulin). This included previous history of GDM, Body Mass Index and blood glucose concentrations at diagnosis. CONCLUSIONS: Clinical measurements at diagnosis could potentially be used as precision markers in the treatment of GDM. Whether there are other sensitive markers that could be identified using more complex individual-level data, such as omics, and if these can feasibly be implemented in clinical practice remains unknown. These will be important to consider in future studies. Nature Publishing Group UK 2023-10-05 /pmc/articles/PMC10550921/ /pubmed/37794196 http://dx.doi.org/10.1038/s43856-023-00371-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Benham, Jamie L.
Gingras, Véronique
McLennan, Niamh-Maire
Most, Jasper
Yamamoto, Jennifer M.
Aiken, Catherine E.
Ozanne, Susan E.
Reynolds, Rebecca M.
Precision gestational diabetes treatment: a systematic review and meta-analyses
title Precision gestational diabetes treatment: a systematic review and meta-analyses
title_full Precision gestational diabetes treatment: a systematic review and meta-analyses
title_fullStr Precision gestational diabetes treatment: a systematic review and meta-analyses
title_full_unstemmed Precision gestational diabetes treatment: a systematic review and meta-analyses
title_short Precision gestational diabetes treatment: a systematic review and meta-analyses
title_sort precision gestational diabetes treatment: a systematic review and meta-analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550921/
https://www.ncbi.nlm.nih.gov/pubmed/37794196
http://dx.doi.org/10.1038/s43856-023-00371-0
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