1. 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Large-Vessel Vasculitis During Active and Inactive Disease Stages Is Associated with the Metabolic Profile, but Not the Macrophage-Related Cytokines: A Proof-of-Concept Study.
- Author
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Palamidas DA, Kalykakis G, Benaki D, Chatzis L, Argyropoulou OD, Palla P, Kollia A, Kafouris P, Metaxas M, Goules AV, Mikros E, Kambas K, Anagnostopoulos CD, and Tzioufas AG
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Metabolome, Proof of Concept Study, Biomarkers blood, Biomarkers metabolism, Aged, 80 and over, Vasculitis diagnostic imaging, Vasculitis blood, Vasculitis metabolism, Positron Emission Tomography Computed Tomography methods, Fluorodeoxyglucose F18, Giant Cell Arteritis diagnostic imaging, Giant Cell Arteritis blood, Giant Cell Arteritis metabolism, Cytokines blood, Cytokines metabolism, Macrophages metabolism
- Abstract
Giant cell arteritis (GCA) is an autoimmune/autoinflammatory disease affecting large vessels in patients over 50 years old. The disease presents as an acute inflammatory response with two phenotypes, cranial GCA and large-vessel vasculitis (LV)-GCA, involving the thoracic aorta and its branches. 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT) is among the imaging techniques contributing to diagnosing patients with systemic disease. However, its association with soluble inflammatory markers is still elusive. This proof-of-concept study aims to identify novel soluble serum biomarkers in PET/CT-positive patients with LV-GCA and associate them with active (0 months) and inactive disease (6 months following treatment), in sequential samples. The most-diseased-segment target-to-background ratio (TBR
MDS ) was calculated for 13 LV-GCA patients, while 14 cranial GCA and 14 Polymyalgia Rheumatica patients with negative initial PET/CT scans served as disease controls. Serum macrophage-related cytokines were evaluated by cytometric bead array (CBA). Finally, previously published NMR/metabolomics data acquired from the same blood sampling were analyzed along with PET/CT findings. TBRMDS was significantly increased in active versus inactive disease (3.32 vs. 2.65, p = 0.006). The analysis identified nine serum metabolites as more sensitive to change from the active to inactive state. Among them, choline levels were exclusively altered in the LV-GCA group but not in the disease controls. Cytokine levels were not associated with PET/CT activity. Combining CRP, ESR, and TBRMDS with choline levels, a composite index was generated to distinguish active and inactive LV-GCA (20.4 vs. 11.62, p = 0.001). These preliminary results could pave the way for more extensive studies integrating serum metabolomic parameters with PET/CT imaging data to extract sensitive composite disease indexes useful for everyday clinical practice.- Published
- 2024
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