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Personalized Diabetes Therapy Part 1-Functional Phenotyping as a Conceptual Basis for Individualized Treatment
Andreas Pfützner1,2,3, Julia Jantz1
1Pfützner Science & Health Institute, D-55128 Mainz, Germany.
Abstract:
The diagnosis of type 2 diabetes using classical clinical and laboratory biomarkers (HbA1c, glucose, lipids, BMI, and blood pressure) is a classification by symptoms and does not provide insight into the underlying pathophysiological disorders (insulin resistance, β-cell dysfunction, visceral adipose tissue hormonal secretion, and chronic systemic inflammation). A better understanding of these disorders may help in the selection of appropriate and potentially more successful personalized therapeutic interventions. Based on extensive clinical trial experience, a method for individual phenotyping and consecutive personalized diabetes therapy has been developed in our practice, which we have been using for more than 15 years and would like to share for discussion and debate. In this Part 1, the pathophysiological background and diagnostic approach to phenotyping is described. A consecutive Part 2 will present the translation of the phenotyping result into a personalized diabetes therapy, and another consecutive Part 3 will provide more comprehensive real-world patient observations when practicing this concept. This article is intended as a discussion/concept paper and does not present unpublished patient-level outcome data or formal effectiveness analyses. Prospective validation studies are needed to evaluate the clinical utility of this phenotype-based framework.
Insights
Classical type 2 diabetes diagnosis lacks pathophysiological insight. This paper introduces a personalized phenotyping method for tailored diabetes therapies, moving beyond symptom classification for better treatment selection.
Area of Science:
- Endocrinology
- Metabolic Diseases
- Personalized Medicine
Background:
- Current type 2 diabetes diagnosis relies on clinical markers (HbA1c, glucose, lipids, BMI, blood pressure), offering limited insight into underlying pathophysiology.
- Pathophysiological disorders like insulin resistance, beta-cell dysfunction, and chronic inflammation are key to understanding disease progression.
- A deeper understanding of these disorders is crucial for developing effective, personalized therapeutic interventions.
Purpose of the Study:
- To present a novel method for individual phenotyping in type 2 diabetes.
- To describe the pathophysiological background and diagnostic approach for this phenotyping method.
- To lay the groundwork for personalized diabetes therapy based on individual patient phenotypes.
Main Methods:
- Development of a personalized phenotyping method based on extensive clinical trial experience.
- Focus on understanding underlying pathophysiological disorders beyond standard diagnostic biomarkers.
- Description of the diagnostic approach for phenotyping in Part 1 of this series.
Main Results:
- The presented method aims to classify patients based on distinct pathophysiological profiles.
- This phenotyping approach moves beyond traditional symptom-based diagnosis.
- It facilitates a more targeted selection of personalized therapeutic strategies.
Conclusions:
- Traditional type 2 diabetes diagnosis needs enhancement with pathophysiological insights.
- Individualized phenotyping offers a pathway to more precise and potentially successful diabetes management.
- Further prospective validation studies are required to confirm the clinical utility of this phenotype-based framework.
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