Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study

Type 2 diabetes (T2D) represents one of the major health issues of this century. Despite the availability of an increasing number of anti-hyperglycemic drugs, a significant proportion of patients are inadequately controlled, thus highlighting the need for novel biomarkers to guide treatment selectio...

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Main Authors: Caterina Formichi, Daniela Fignani, Laura Nigi, Giuseppina Emanuela Grieco, Noemi Brusco, Giada Licata, Claudia Sabato, Elisabetta Ferretti, Guido Sebastiani, Francesco Dotta
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/17/9454
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author Caterina Formichi
Daniela Fignani
Laura Nigi
Giuseppina Emanuela Grieco
Noemi Brusco
Giada Licata
Claudia Sabato
Elisabetta Ferretti
Guido Sebastiani
Francesco Dotta
author_facet Caterina Formichi
Daniela Fignani
Laura Nigi
Giuseppina Emanuela Grieco
Noemi Brusco
Giada Licata
Claudia Sabato
Elisabetta Ferretti
Guido Sebastiani
Francesco Dotta
author_sort Caterina Formichi
collection DOAJ
description Type 2 diabetes (T2D) represents one of the major health issues of this century. Despite the availability of an increasing number of anti-hyperglycemic drugs, a significant proportion of patients are inadequately controlled, thus highlighting the need for novel biomarkers to guide treatment selection. MicroRNAs (miRNAs) are small non-coding RNAs, proposed as useful diagnostic/prognostic markers. The aim of our study was to identify a miRNA signature occurring in responders to glucagon-like peptide 1 receptor agonists (GLP1-RA) therapy. We investigated the expression profile of eight T2D-associated circulating miRNAs in 26 prospectively evaluated diabetic patients in whom GLP1-RA was added to metformin. As expected, GLP1-RA treatment induced significant reductions of HbA1c and body weight, both after 6 and 12 months of therapy. Of note, baseline expression levels of the selected miRNAs revealed two distinct patient clusters: “high expressing” and “low expressing”. Interestingly, a significantly higher percentage of patients in the high expression group reached the glycemic target after 12 months of treatment. Our findings suggest that the evaluation of miRNA expression could be used to predict the likelihood of an early treatment response to GLP1-RA and to select patients in whom to start such treatment, paving the way to a personalized medicine approach.
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spelling doaj.art-de446666154749fa97af16139f783eb82023-11-22T10:43:39ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-08-012217945410.3390/ijms22179454Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot StudyCaterina Formichi0Daniela Fignani1Laura Nigi2Giuseppina Emanuela Grieco3Noemi Brusco4Giada Licata5Claudia Sabato6Elisabetta Ferretti7Guido Sebastiani8Francesco Dotta9Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, ItalyDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, ItalyType 2 diabetes (T2D) represents one of the major health issues of this century. Despite the availability of an increasing number of anti-hyperglycemic drugs, a significant proportion of patients are inadequately controlled, thus highlighting the need for novel biomarkers to guide treatment selection. MicroRNAs (miRNAs) are small non-coding RNAs, proposed as useful diagnostic/prognostic markers. The aim of our study was to identify a miRNA signature occurring in responders to glucagon-like peptide 1 receptor agonists (GLP1-RA) therapy. We investigated the expression profile of eight T2D-associated circulating miRNAs in 26 prospectively evaluated diabetic patients in whom GLP1-RA was added to metformin. As expected, GLP1-RA treatment induced significant reductions of HbA1c and body weight, both after 6 and 12 months of therapy. Of note, baseline expression levels of the selected miRNAs revealed two distinct patient clusters: “high expressing” and “low expressing”. Interestingly, a significantly higher percentage of patients in the high expression group reached the glycemic target after 12 months of treatment. Our findings suggest that the evaluation of miRNA expression could be used to predict the likelihood of an early treatment response to GLP1-RA and to select patients in whom to start such treatment, paving the way to a personalized medicine approach.https://www.mdpi.com/1422-0067/22/17/9454microRNAsGLP1-RAtype 2 diabetesobesitypersonalized medicine
spellingShingle Caterina Formichi
Daniela Fignani
Laura Nigi
Giuseppina Emanuela Grieco
Noemi Brusco
Giada Licata
Claudia Sabato
Elisabetta Ferretti
Guido Sebastiani
Francesco Dotta
Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
International Journal of Molecular Sciences
microRNAs
GLP1-RA
type 2 diabetes
obesity
personalized medicine
title Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
title_full Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
title_fullStr Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
title_full_unstemmed Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
title_short Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
title_sort circulating micrornas signature for predicting response to glp1 ra therapy in type 2 diabetic patients a pilot study
topic microRNAs
GLP1-RA
type 2 diabetes
obesity
personalized medicine
url https://www.mdpi.com/1422-0067/22/17/9454
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