Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus

Cecil Jack Weale,1 Don M Matshazi,1 Saarah FG Davids,1 Shanel Raghubeer,1 Rajiv T Erasmus,2 Andre Pascal Kengne,3,4 Glenda Mary Davison,1 Tandi E Matsha1 1SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula Univer...

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Main Authors: Weale CJ, Matshazi DM, Davids SFG, Raghubeer S, Erasmus RT, Kengne AP, Davison GM, Matsha TE
Format: Article
Language:English
Published: Dove Medical Press 2020-12-01
Series:Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
Subjects:
Online Access:https://www.dovepress.com/circulating-mir-30a-5p-and-mir-182-5p-in-prediabetes-and-screen-detect-peer-reviewed-article-DMSO
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spelling doaj-ac9b8b3a7b334905a2c535943f3c734a2020-12-22T19:44:58ZengDove Medical PressDiabetes, Metabolic Syndrome and Obesity : Targets and Therapy1178-70072020-12-01Volume 135037504760529Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes MellitusWeale CJMatshazi DMDavids SFGRaghubeer SErasmus RTKengne APDavison GMMatsha TECecil Jack Weale,1 Don M Matshazi,1 Saarah FG Davids,1 Shanel Raghubeer,1 Rajiv T Erasmus,2 Andre Pascal Kengne,3,4 Glenda Mary Davison,1 Tandi E Matsha1 1SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, South Africa; 2Division of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa; 3Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; 4Department of Medicine, University of Cape Town, Cape Town, South AfricaCorrespondence:Tandi E MatshaDepartment of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Bellville, Cape Town 7530, South AfricaTel +27 21 959 6366Fax +27 21 959 6760Email matshat@cput.ac.zaBackground: microRNAs (miRNAs) have been touted as potential diagnostic and prognostic biomarkers for various diseases. The aim of the present study was to evaluate the diagnostic value of miR-30a-5p and miR-182-5p for prediabetes and screen-detected type 2 diabetes mellitus (T2DM).Methods: The study included 1270 participants (207 prediabetes, 94 screen-detected diabetes and 969 normotolerant) from the Vascular and Metabolic Health (VMH) study. Whole blood levels of miR-30a-5p and miR-182-5p were quantitated by RT-qPCR. Multivariable logistic regressions were used to relate miRNAs with prediabetes or T2DM and receiver operating characteristic (ROC) curves were used to evaluate the ability of each miRNA to diagnose these conditions.Results: Both miRNAs were significantly highly expressed in individuals with prediabetes or T2DM (both ≥ 3.2-fold, and p< 0.001). We also observed significant under-expression in T2DM relative to prediabetes for miR-182-5p (0.49-fold, p=0.001). Age, sex and BMI-adjusted partial correlation coefficient analysis revealed a significant correlation between the two miRNAs across glucose tolerance statuses (r≥ 0.932, p< 0.001). In normotolerant individuals, both miRNAs showed a negative correlation with waist circumference and positive correlation with HDL-cholesterol whilst in T2DM they correlated positively with hip circumference, 2-hour insulin, HDL- and LDL-cholesterol. Multivariable logistic regressions revealed both miRNAs to be consistently and continuously associated with prediabetes or T2DM (OR≥ 1.18, 95% 95% CI: 1.10– 1.28, p< 0.001), while only miR-182-5p associated with a reduced prevalence of T2DM relative to prediabetes (OR: 0.89, 95% CI: 0.83– 0.96, p=0.003). In ROC analyses, miR-182-5p almost outperformed HbA1c in diagnosing prediabetes; area under the curve 0.74 vs 0.69.Conclusion: Our findings demonstrate that miR-30a-5p and miR-182-5p are associated with dysglycaemia and could potentially predict prediabetes, particularly miR-182-5p.Keywords: Africa, miR-30a-5p, miR-182-5p, diabetes, prediabeteshttps://www.dovepress.com/circulating-mir-30a-5p-and-mir-182-5p-in-prediabetes-and-screen-detect-peer-reviewed-article-DMSOafricamir-30a-5pmir-182-5pdiabetesprediabetes
collection DOAJ
language English
format Article
sources DOAJ
author Weale CJ
Matshazi DM
Davids SFG
Raghubeer S
Erasmus RT
Kengne AP
Davison GM
Matsha TE
spellingShingle Weale CJ
Matshazi DM
Davids SFG
Raghubeer S
Erasmus RT
Kengne AP
Davison GM
Matsha TE
Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
africa
mir-30a-5p
mir-182-5p
diabetes
prediabetes
author_facet Weale CJ
Matshazi DM
Davids SFG
Raghubeer S
Erasmus RT
Kengne AP
Davison GM
Matsha TE
author_sort Weale CJ
title Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
title_short Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
title_full Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
title_fullStr Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
title_full_unstemmed Circulating miR-30a-5p and miR-182-5p in Prediabetes and Screen-Detected Diabetes Mellitus
title_sort circulating mir-30a-5p and mir-182-5p in prediabetes and screen-detected diabetes mellitus
publisher Dove Medical Press
series Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
issn 1178-7007
publishDate 2020-12-01
description Cecil Jack Weale,1 Don M Matshazi,1 Saarah FG Davids,1 Shanel Raghubeer,1 Rajiv T Erasmus,2 Andre Pascal Kengne,3,4 Glenda Mary Davison,1 Tandi E Matsha1 1SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, South Africa; 2Division of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa; 3Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; 4Department of Medicine, University of Cape Town, Cape Town, South AfricaCorrespondence:Tandi E MatshaDepartment of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Bellville, Cape Town 7530, South AfricaTel +27 21 959 6366Fax +27 21 959 6760Email matshat@cput.ac.zaBackground: microRNAs (miRNAs) have been touted as potential diagnostic and prognostic biomarkers for various diseases. The aim of the present study was to evaluate the diagnostic value of miR-30a-5p and miR-182-5p for prediabetes and screen-detected type 2 diabetes mellitus (T2DM).Methods: The study included 1270 participants (207 prediabetes, 94 screen-detected diabetes and 969 normotolerant) from the Vascular and Metabolic Health (VMH) study. Whole blood levels of miR-30a-5p and miR-182-5p were quantitated by RT-qPCR. Multivariable logistic regressions were used to relate miRNAs with prediabetes or T2DM and receiver operating characteristic (ROC) curves were used to evaluate the ability of each miRNA to diagnose these conditions.Results: Both miRNAs were significantly highly expressed in individuals with prediabetes or T2DM (both ≥ 3.2-fold, and p< 0.001). We also observed significant under-expression in T2DM relative to prediabetes for miR-182-5p (0.49-fold, p=0.001). Age, sex and BMI-adjusted partial correlation coefficient analysis revealed a significant correlation between the two miRNAs across glucose tolerance statuses (r≥ 0.932, p< 0.001). In normotolerant individuals, both miRNAs showed a negative correlation with waist circumference and positive correlation with HDL-cholesterol whilst in T2DM they correlated positively with hip circumference, 2-hour insulin, HDL- and LDL-cholesterol. Multivariable logistic regressions revealed both miRNAs to be consistently and continuously associated with prediabetes or T2DM (OR≥ 1.18, 95% 95% CI: 1.10– 1.28, p< 0.001), while only miR-182-5p associated with a reduced prevalence of T2DM relative to prediabetes (OR: 0.89, 95% CI: 0.83– 0.96, p=0.003). In ROC analyses, miR-182-5p almost outperformed HbA1c in diagnosing prediabetes; area under the curve 0.74 vs 0.69.Conclusion: Our findings demonstrate that miR-30a-5p and miR-182-5p are associated with dysglycaemia and could potentially predict prediabetes, particularly miR-182-5p.Keywords: Africa, miR-30a-5p, miR-182-5p, diabetes, prediabetes
topic africa
mir-30a-5p
mir-182-5p
diabetes
prediabetes
url https://www.dovepress.com/circulating-mir-30a-5p-and-mir-182-5p-in-prediabetes-and-screen-detect-peer-reviewed-article-DMSO
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