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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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Autores principales: Formichi, Caterina, Fignani, Daniela, Nigi, Laura, Grieco, Giuseppina Emanuela, Brusco, Noemi, Licata, Giada, Sabato, Claudia, Ferretti, Elisabetta, Sebastiani, Guido, Dotta, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431190/
https://www.ncbi.nlm.nih.gov/pubmed/34502360
http://dx.doi.org/10.3390/ijms22179454
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author Formichi, Caterina
Fignani, Daniela
Nigi, Laura
Grieco, Giuseppina Emanuela
Brusco, Noemi
Licata, Giada
Sabato, Claudia
Ferretti, Elisabetta
Sebastiani, Guido
Dotta, Francesco
author_facet Formichi, Caterina
Fignani, Daniela
Nigi, Laura
Grieco, Giuseppina Emanuela
Brusco, Noemi
Licata, Giada
Sabato, Claudia
Ferretti, Elisabetta
Sebastiani, Guido
Dotta, Francesco
author_sort Formichi, Caterina
collection PubMed
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 pubmed-84311902021-09-11 Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study Formichi, Caterina Fignani, Daniela Nigi, Laura Grieco, Giuseppina Emanuela Brusco, Noemi Licata, Giada Sabato, Claudia Ferretti, Elisabetta Sebastiani, Guido Dotta, Francesco Int J Mol Sci Article 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. MDPI 2021-08-31 /pmc/articles/PMC8431190/ /pubmed/34502360 http://dx.doi.org/10.3390/ijms22179454 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Formichi, Caterina
Fignani, Daniela
Nigi, Laura
Grieco, Giuseppina Emanuela
Brusco, Noemi
Licata, Giada
Sabato, Claudia
Ferretti, Elisabetta
Sebastiani, Guido
Dotta, Francesco
Circulating microRNAs Signature for Predicting Response to GLP1-RA Therapy in Type 2 Diabetic Patients: A Pilot Study
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431190/
https://www.ncbi.nlm.nih.gov/pubmed/34502360
http://dx.doi.org/10.3390/ijms22179454
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