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Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention

BACKGROUND: MicroRNAs may be important regulators of risk for type 2 diabetes. The purpose of this longitudinal observational study was to assess whether circulating microRNAs predicted improvements in fasting blood glucose, a major risk factor for type 2 diabetes, over 12 months. METHODS: The study...

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Autores principales: Flowers, Elena, Allen, Isabel Elaine, Kanaya, Alka M., Aouizerat, Bradley E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383422/
https://www.ncbi.nlm.nih.gov/pubmed/34425916
http://dx.doi.org/10.1186/s40364-021-00317-5
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author Flowers, Elena
Allen, Isabel Elaine
Kanaya, Alka M.
Aouizerat, Bradley E.
author_facet Flowers, Elena
Allen, Isabel Elaine
Kanaya, Alka M.
Aouizerat, Bradley E.
author_sort Flowers, Elena
collection PubMed
description BACKGROUND: MicroRNAs may be important regulators of risk for type 2 diabetes. The purpose of this longitudinal observational study was to assess whether circulating microRNAs predicted improvements in fasting blood glucose, a major risk factor for type 2 diabetes, over 12 months. METHODS: The study included participants (n = 82) from a previously completed trial that tested the effect of restorative yoga on individuals with prediabetes. Circulating microRNAs were measured using a flow cytometry miRNA assay. Linear models were used to determine the optimal sets of microRNA predictors overall and by intervention group. RESULTS: Subsets of microRNAs were significant predictors of final fasting blood glucose after 12-months (R(2) = 0.754, p < 0.001) and changes in fasting blood glucose over 12-months (R(2) = 0.731, p < 0.001). Three microRNAs (let-7c, miR-363, miR-374b) were significant for the control group only, however there was no significant interaction by intervention group. CONCLUSIONS: Circulating microRNAs are significant predictors of fasting blood glucose in individuals with prediabetes. Among the identified microRNAs, several have previously been associated with risk for type 2 diabetes. This is one of the first studies to use a longitudinal design to assess whether microRNAs predict changes in fasting blood glucose over time. Further exploration of the function of the microRNAs included in these models may provide new insights about the complex etiology of type 2 diabetes and responses to behavioral risk reduction interventions. TRIAL REGISTRATION: This study was a secondary analysis of a previously completed clinical trial that is registered at clinicaltrials.gov (NCT01024816) on December 3, 2009. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-021-00317-5.
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spelling pubmed-83834222021-08-25 Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention Flowers, Elena Allen, Isabel Elaine Kanaya, Alka M. Aouizerat, Bradley E. Biomark Res Research BACKGROUND: MicroRNAs may be important regulators of risk for type 2 diabetes. The purpose of this longitudinal observational study was to assess whether circulating microRNAs predicted improvements in fasting blood glucose, a major risk factor for type 2 diabetes, over 12 months. METHODS: The study included participants (n = 82) from a previously completed trial that tested the effect of restorative yoga on individuals with prediabetes. Circulating microRNAs were measured using a flow cytometry miRNA assay. Linear models were used to determine the optimal sets of microRNA predictors overall and by intervention group. RESULTS: Subsets of microRNAs were significant predictors of final fasting blood glucose after 12-months (R(2) = 0.754, p < 0.001) and changes in fasting blood glucose over 12-months (R(2) = 0.731, p < 0.001). Three microRNAs (let-7c, miR-363, miR-374b) were significant for the control group only, however there was no significant interaction by intervention group. CONCLUSIONS: Circulating microRNAs are significant predictors of fasting blood glucose in individuals with prediabetes. Among the identified microRNAs, several have previously been associated with risk for type 2 diabetes. This is one of the first studies to use a longitudinal design to assess whether microRNAs predict changes in fasting blood glucose over time. Further exploration of the function of the microRNAs included in these models may provide new insights about the complex etiology of type 2 diabetes and responses to behavioral risk reduction interventions. TRIAL REGISTRATION: This study was a secondary analysis of a previously completed clinical trial that is registered at clinicaltrials.gov (NCT01024816) on December 3, 2009. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-021-00317-5. BioMed Central 2021-08-23 /pmc/articles/PMC8383422/ /pubmed/34425916 http://dx.doi.org/10.1186/s40364-021-00317-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Flowers, Elena
Allen, Isabel Elaine
Kanaya, Alka M.
Aouizerat, Bradley E.
Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title_full Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title_fullStr Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title_full_unstemmed Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title_short Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
title_sort circulating micrornas predict glycemic improvement and response to a behavioral intervention
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383422/
https://www.ncbi.nlm.nih.gov/pubmed/34425916
http://dx.doi.org/10.1186/s40364-021-00317-5
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