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Updated: May 20, 2026

Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
Published on: May 2, 2017
How organs react under fasting or glucose-insulin status: a self-controlled study using 18F-FDG total-body PET/CT
Yifei Tang1,2,3,4, Yunze Xie1,2,3,4, Taoying Gu1,2,3,4
1Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Patients with ischemic cardiomyopathy and diabetes show altered glucose metabolism and impaired inter-organ networks. Non-diabetic patients exhibit more significant metabolic shifts and enhanced connectivity.
Area of Science:
- Nuclear medicine and metabolic imaging
- Cardiovascular disease research
- Systemic metabolism
Background:
- Ischemic cardiomyopathy (ICM) affects cardiac function and systemic metabolism.
- Understanding organ-specific glucose metabolism is crucial for managing ICM.
- Diabetes mellitus (DM) further complicates metabolic alterations in ICM.
Purpose of the Study:
- To investigate organ-specific glucose metabolism in ICM patients.
- To analyze inter-organ metabolic network alterations under fasting and glucose/insulin loading.
- To compare metabolic responses between diabetic and non-diabetic ICM patients.
Main Methods:
- Prospective, self-controlled study using total-body 18F-FDG PET/CT scans.
- Measurement of SUVmean in 24 predefined regions of interest (ROIs) under fasting (FAST) and glucose/insulin (G/I) conditions.
- Assessment of metabolic network connectivity using mutual information analysis, stratified by DM status.
Main Results:
- Non-DM patients showed significant decreases in peripheral and brain glucose uptake and enhanced metabolic network connectivity from FAST to G/I.
- DM patients exhibited blunted glucose uptake changes and disrupted metabolic network connectivity, with impaired brain-peripheral interactions.
- Smoking and older age correlated with stronger inter-organ connectivity in both DM and non-DM groups.
Conclusions:
- Organ-specific metabolic profiles and inter-organ networks differ between fasting and glucose/insulin loading states in ICM.
- Diabetic ICM patients display attenuated metabolic responses and network changes compared to non-diabetic patients.
- Metabolic network alterations in ICM are influenced by diabetes status, age, and smoking.
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