Related Experiment Video
Updated: Jul 26, 2025

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
Published on: February 28, 2013
How amenable is type 2 diabetes treatment for precision diabetology? A meta-regression of glycaemic control data from
Oliver Kuss1,2,3, Marie Elisabeth Opitz4, Lea Verena Brandstetter4
1Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany. oliver.kuss@ddz.de.
Aims/Hypothesis:
There are two prerequisites for the precision medicine approach to be beneficial for treated individuals. First, there must be treatment heterogeneity; second, in the case of treatment heterogeneity, we need to detect clinical predictors to identify people who would benefit from one treatment more than from others. There is an established meta-regression approach to assess these two prerequisites that relies on measuring the variability of a clinical outcome after treatment in placebo-controlled randomised trials. Our aim was to apply this approach to the treatment of type 2 diabetes.
Methods:
We performed a meta-regression analysis using information from 174 placebo-controlled randomised trials with 178 placebo and 272 verum (i.e. active treatment) arms including 86,940 participants with respect to the variability of glycaemic control as assessed by HbA1c after treatment and its potential predictors.
Results:
The adjusted difference in log(SD) values between the verum and placebo arms was 0.037 (95% CI: 0.004, 0.069). That is, we found a small increase in the variability of HbA1c values after treatment in the verum arms. In addition, one potentially relevant predictor for explaining this increase, drug class, was observed, and GLP-1 receptor agonists yielded the largest differences in log(SD) values.
Conclusions/Interpretation:
The potential of the precision medicine approach in the treatment of type 2 diabetes is modest at best, at least with regard to an improvement in glycaemic control. Our finding of a larger variability after treatment with GLP-1 receptor agonists in individuals with poor glycaemic control should be replicated and/or validated with other clinical outcomes and with different study designs.
Funding:
The research reported here received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Data Availability:
Two datasets (one for the log[SD] and one for the baseline-corrected log[SD]) to reproduce the analyses from this paper are available on https://zenodo.org/record/7956635 .
Insights
Precision medicine for type 2 diabetes shows modest potential for improving glycemic control. While some treatments increase outcome variability, GLP-1 receptor agonists may offer personalized benefits for specific patient groups.
Area of Science:
- Endocrinology
- Pharmacogenomics
- Clinical Trial Analysis
Background:
- Precision medicine requires treatment heterogeneity and identifiable predictors for efficacy.
- Meta-regression of placebo-controlled trials assesses outcome variability and predictors.
- Type 2 diabetes treatment variability was analyzed using this approach.
Purpose of the Study:
- To evaluate the prerequisites for precision medicine in type 2 diabetes treatment.
- To assess the variability of glycemic control (HbA1c) and its predictors.
- To determine the potential for personalized treatment strategies in type 2 diabetes.
Main Methods:
- Meta-regression analysis of 174 placebo-controlled randomized trials.
- Included 86,940 participants with type 2 diabetes.
- Analyzed variability in HbA1c and identified predictors, including drug class.
Main Results:
- A small increase in HbA1c variability was observed with active treatments (verum arms).
- Drug class emerged as a predictor, with GLP-1 receptor agonists showing the largest variability differences.
- The adjusted difference in log(SD) for verum vs. placebo arms was 0.037 (95% CI: 0.004, 0.069).
Conclusions:
- The potential for precision medicine in type 2 diabetes glycemic control is limited.
- GLP-1 receptor agonists may influence HbA1c variability, particularly in individuals with poor control.
- Further validation with diverse clinical outcomes and study designs is recommended.
More Related Videos
08:13Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
Published on: January 7, 2018
07:22Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
Published on: March 7, 2025
Related Concept Videos
Diabetes: Management and Pharmacotherapy
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Diabetes Mellitus: Type 2 and Gestational
Diabetes Mellitus: Overview and Type I Subtype
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Carbohydrate Metabolism
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
Diabetes: Symptoms, Diagnosis, and Complications
Oral Hypoglycemic Agents: Biguanides and Glitazones