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Published on: January 24, 2025
Choosing injectable therapy: The metabolic fulcrum
Sanjay Kalra1, Yashdeep Gupta2
1Department of Endocrinology, Bharti Hospital, Karnal, New Delhi, India.
This study proposes classifying diabetes patients into catabolic, eubolic, or anabolic types to guide injectable therapy. Tailoring treatments like intensive insulin or GLP1RA based on metabolic state improves type 2 diabetes management.
Area of Science:
- Endocrinology
- Metabolic Disorders
- Pharmacotherapy
Background:
- Type 2 diabetes mellitus (T2DM) management requires personalized therapeutic strategies.
- Current treatment approaches may not fully address the diverse metabolic profiles of T2DM patients.
- A metabolic classification system can optimize clinical decision-making.
Purpose of the Study:
- To introduce a metabolic fulcrum-based approach for classifying individuals with diabetes.
- To define three distinct metabolic categories: predominantly catabolic, eubolic, and predominantly maladaptive anabolic.
- To correlate these metabolic classifications with appropriate injectable therapy choices in T2DM.
Main Methods:
- Development of a clinical decision-making hypothesis based on metabolic categorization.
- Classification of patients into catabolic, eubolic, or anabolic phenotypes.
- Linking metabolic phenotypes to specific injectable treatment recommendations.
Main Results:
- Predominantly catabolic patients may benefit from intensive insulin therapy or dual-action insulins (e.g., premixed, insulin degludec aspart).
- Eumetabolic patients can be managed with a broad range of available pharmacotherapies.
- Maladaptive anabolic patients may respond to glucagon-like peptide-1 receptor agonists (GLP1RA), with a combination of GLP1RA and basal insulin as a potential next step.
Conclusions:
- A metabolic fulcrum-based classification provides a systematic framework for guiding injectable therapy selection in T2DM.
- Personalizing treatment based on metabolic phenotype (catabolic, eubolic, anabolic) can enhance therapeutic efficacy.
- This approach offers a refined strategy for optimizing T2DM management beyond conventional methods.
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