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Updated: Jan 9, 2026

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
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Integrative Metabolomics of Targeted and Nontargeted Analyses in T2D Progression
Jianhong Ge1,2,3, Siyu Han2, Mengya Shi1,2,3
1TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Diabetes Care
|December 3, 2025
Summary
Metabolic shifts in energy metabolism mark early diabetes progression, while amino acid changes appear later. These distinct metabolic signatures could inform future diabetes prevention strategies.
Area of Science:
- Metabolomics
- Endocrinology
- Human Physiology
Background:
- Type 2 diabetes (T2D) development involves complex metabolic dysregulation.
- Identifying stage-specific metabolic alterations is crucial for understanding disease progression from normal glucose metabolism (NORM) to prediabetes (PreT2D) and T2D.
Purpose of the Study:
- To identify stage-specific metabolites characterizing the progression from NORM to PreT2D and T2D.
- To investigate early (NORM to PreT2D) and late (PreT2D to T2D) metabolic shifts.
- To explore the mechanistic and causal relevance of identified metabolites.
Main Methods:
- Analysis of 8,240 observations from the KORA cohort with longitudinal metabolite profiling (targeted and non-targeted).
- Trajectory analyses identified incident PreT2D and T2D cases over 14 years.
- Linear mixed-effects models, mediation, and Mendelian randomization (MR) analyses were employed.
Main Results:
- 140 significant metabolites were identified, including 68 early-stage markers (e.g., lipids, TCA cycle metabolites) and 20 late-stage markers (e.g., BCAAs, γ-glutamyl derivatives).
- Fasting glucose partially mediated the association between γ-glutamyl-valine and T2D.
- MR analysis did not support causal roles for BCAAs or γ-glutamyl-valine in T2D.
Conclusions:
- Early diabetes progression is characterized by shifts in energy metabolism.
- Later stages of diabetes involve alterations in amino acid metabolism.
- Stage-specific metabolic signatures offer potential targets for diabetes prevention.
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