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Current Diabetes Reports

Erschienen in:

01.05.2020 | Genetics (AP Morris, Section Editor)

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

verfasst von: Pieralice Silvia, Zampetti Simona, Maddaloni Ernesto, Buzzetti Raffaella

Erschienen in: Current Diabetes Reports | Ausgabe 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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Titel: “H” for Heterogeneity in the Algorithm for Type 2 Diabetes Management
verfasst von: Pieralice Silvia
Zampetti Simona
Maddaloni Ernesto
Buzzetti Raffaella
Publikationsdatum: 01.05.2020
Verlag: Springer US
Erschienen in: Current Diabetes Reports / Ausgabe 5/2020
Print ISSN: 1534-4827
Elektronische ISSN: 1539-0829
DOI: https://doi.org/10.1007/s11892-020-01297-w

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