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Published in: Current Diabetes Reports 5/2020

01-05-2020 | Late Onset Autoimmune Diabetes in Adults | Genetics (AP Morris, Section Editor)

“H” for Heterogeneity in the Algorithm for Type 2 Diabetes Management

Authors: Pieralice Silvia, Zampetti Simona, Maddaloni Ernesto, Buzzetti Raffaella

Published in: Current Diabetes Reports | Issue 5/2020

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Abstract

Purpose of Review

Genetic, socioeconomic and clinical features vary considerably among individuals with type 2 diabetes (T2D) influencing disease development, progression and response to therapy. Although a patient-centred approach to pharmacologic therapy of T2D is widely recommended, patients are often treated similarly, irrespective of the differences that may affect therapeutic response. Addressing the heterogeneity of T2D is a major task of diabetes research to lower the high rate of treatment failure as well as to reduce the risk of long-term complications.

Recent Findings

A pathophysiology-based clustering system seems the most promising to help in the stratification of diabetes in terms of complication risk and response to treatment. This urges for clinical studies looking at novel biomarkers related to the different metabolic pathways of T2D and able to inform about the therapeutic cluster of each patient.

Summary

Here, we review the main settings of diabetes heterogeneity, to what extent it has been already addressed and the current gaps in knowledge towards a personalized therapeutic approach that considers the distinctive features of each patient.
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Metadata
Title
“H” for Heterogeneity in the Algorithm for Type 2 Diabetes Management
Authors
Pieralice Silvia
Zampetti Simona
Maddaloni Ernesto
Buzzetti Raffaella
Publication date
01-05-2020
Publisher
Springer US
Published in
Current Diabetes Reports / Issue 5/2020
Print ISSN: 1534-4827
Electronic ISSN: 1539-0829
DOI
https://doi.org/10.1007/s11892-020-01297-w
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