Metabolically active brown adipose tissue in PPGL: an observational cohort study
Endocrine-Related Cancer
|February 22, 2025
Summary
Active brown adipose tissue (aBAT) was detected in 13% of patients with phaeochromocytoma/paraganglioma (PPGL). Elevated normetanephrine levels strongly correlated with aBAT, suggesting a link between catecholamine excess and BAT activation in PPGL patients.
Area of Science:
- Endocrinology
- Nuclear Medicine
- Oncology
Background:
- Brown adipose tissue (BAT) activation is increasingly recognized for its role in metabolic health and disease.
- Its association with endocrine tumors like phaeochromocytoma/paraganglioma (PPGL) remains underexplored.
- FDG-PET imaging is a key tool for assessing BAT activity.
Purpose of the Study:
- To investigate the prevalence and clinical significance of activated brown adipose tissue (aBAT) in patients diagnosed with PPGL.
- To explore the relationship between aBAT and clinical, biochemical, and genetic factors in PPGL.
Main Methods:
- Retrospective analysis of FDG-PET scans from 62 PPGL patients (2013-2021).
- Assessment of patient demographics, biochemistry (including catecholamines), radiological findings, and mutational status.
- Statistical analysis, including multivariate analysis and Kaplan-Meier survival plots, to identify associations with aBAT.
Main Results:
- 13% of PPGL patients exhibited aBAT on FDG-PET imaging.
- Elevated plasma normetanephrine concentrations were significantly associated with the presence of aBAT.
- No significant differences were observed in BMI, age, sex, or mutational status between aBAT-positive and aBAT-negative groups.
- Overall and progression-free survival did not show statistical significance between groups.
Conclusions:
- BAT activation is present in a subset of PPGL patients and is strongly linked to elevated normetanephrine levels.
- aBAT may serve as a potential imaging biomarker for severe catecholamine excess in PPGL.
- Further research is warranted to elucidate the precise role of aBAT in PPGL pathophysiology and its impact on patient outcomes.
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