Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention

Abstract 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 Th...

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Main Authors: Elena Flowers, Isabel Elaine Allen, Alka M. Kanaya, Bradley E. Aouizerat
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Biomarker Research
Subjects:
Online Access:https://doi.org/10.1186/s40364-021-00317-5
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author Elena Flowers
Isabel Elaine Allen
Alka M. Kanaya
Bradley E. Aouizerat
author_facet Elena Flowers
Isabel Elaine Allen
Alka M. Kanaya
Bradley E. Aouizerat
author_sort Elena Flowers
collection DOAJ
description Abstract 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.
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spelling doaj.art-e8e9a5e4a94446119904c9d3fc19ad3d2022-12-21T18:32:02ZengBMCBiomarker Research2050-77712021-08-01911910.1186/s40364-021-00317-5Circulating MicroRNAs predict glycemic improvement and response to a behavioral interventionElena Flowers0Isabel Elaine Allen1Alka M. Kanaya2Bradley E. Aouizerat3Department of Physiological Nursing, University of California, San FranciscoDepartment of Epidemiology and Biostatistics, University of CaliforniaDepartment of Epidemiology and Biostatistics, University of CaliforniaBluestone Center for Clinical Research, New York UniversityAbstract 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.https://doi.org/10.1186/s40364-021-00317-5microRNADiabetesFasting blood glucoseBiomarkerYoga
spellingShingle Elena Flowers
Isabel Elaine Allen
Alka M. Kanaya
Bradley E. Aouizerat
Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
Biomarker Research
microRNA
Diabetes
Fasting blood glucose
Biomarker
Yoga
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 microRNA
Diabetes
Fasting blood glucose
Biomarker
Yoga
url https://doi.org/10.1186/s40364-021-00317-5
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AT alkamkanaya circulatingmicrornaspredictglycemicimprovementandresponsetoabehavioralintervention
AT bradleyeaouizerat circulatingmicrornaspredictglycemicimprovementandresponsetoabehavioralintervention