Homocysteine-related alterations of F-FDG brain pattern in metabolic diseases.

Hell J Nucl Med

Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Published: January 2022

Since hyperhomocysteinaemia (HHcys) is implicated as a risk factor for the development of neurodegeneration, and is associated with the development of metabolic diseases,we aimed at analysing the effect of homocysteine (Hcys) on regional fluorine-18-fluorodeoxyglucose (F-FDG) brain metabolismin 51 controlled type 2 diabetic and in 48 non-DM obese participants. Plasma Hcys levels were measured by an immunoassay. Homocysteine-related F-FDG regional brain metabolism was evaluated applying F-FDG PET/CT using magnetic resonance imaging (MRI)-based brain template for statistical parametric mapping (SPM) analysis. Homocysteine-related decreased F-FDG uptake was shown in the right middle temporal gyrus in the whole population. Diabetics with Hcys above the reference limit expressed decreased glucose metabolismin the left calcarine cortex compared to the obese with HHcys. Regional metabolic alterations evoked on the basis of HHcys draw attention to the potential risk of neurodegeneration caused by metabolic disturbances.

Download full-text PDF

Source
http://dx.doi.org/10.1967/s002449912415DOI Listing

Publication Analysis

Top Keywords

f-fdg brain
8
f-fdg
5
homocysteine-related alterations
4
alterations f-fdg
4
brain
4
brain pattern
4
metabolic
4
pattern metabolic
4
metabolic diseases
4
diseases hyperhomocysteinaemia
4

Similar Publications

Detection of Crossed Cerebellar Diaschisis in Intractable Epilepsy Using Integrated F-FDG PET/MR Imaging.

Cerebellum

December 2024

Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, 100053, China.

Crossed cerebellar diaschisis(CCD) involves reduced metabolism and blood flow in the cerebellar hemisphere contralateral to a supratentorial lesion. ASL is a valuable tool for quantifying regional cerebral blood flow. This study assesses ASL-MRI's ability to detect CCD in epilepsy using integrated F-FDG PET/MRI and compares ASL with PET images in evaluating CCD.

View Article and Find Full Text PDF

Addressing brain metabolic connectivity in treatment-resistant schizophrenia: a novel graph theory-driven application of F-FDG-PET with antipsychotic dose correction.

Schizophrenia (Heidelb)

December 2024

Section of Psychiatry, Laboratory of Molecular and Translational Psychiatry, Unit of Treatment-Resistant Psychiatric Disorders, Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples "Federico II", School of Medicine, Naples Italy, Via Pansini 5, 80131, Naples, Italy.

Few studies using Positron Emission Tomography with F-fluorodeoxyglucose (F-FDG-PET) have examined the neurobiological basis of antipsychotic resistance in schizophrenia, primarily focusing on metabolic activity, with none investigating connectivity patterns. Here, we aimed to explore differential patterns of glucose metabolism between patients and controls (CTRL) through a graph theory-based approach and network comparison tests. PET scans with F-FDG were obtained by 70 subjects, 26 with treatment-resistant schizophrenia (TRS), 28 patients responsive to antipsychotics (nTRS), and 16 CTRL.

View Article and Find Full Text PDF

Duchenne muscular dystrophy (DMD) is associated with a range of cognitive and behavioral problems. Brain-related comorbidities show clinical heterogeneity depending on the position of the mutation within the multi-promoter dystrophin (DMD) gene, likely due to the differential impact of mutations on the expression of distinct brain dystrophins. A deficiency of the full-length brain dystrophin, Dp427, has been associated with enhanced stress reactivity, characterized by abnormal fear responses in both patients and mdx mouse model.

View Article and Find Full Text PDF

Deep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors.

Quant Imaging Med Surg

December 2024

Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China.

Background: Deep-learning-based denoising improves image quality and quantification accuracy for low count (LC) positron emission tomography (PET). Conventional deep-learning-based denoising methods only require single LC PET image input. This study aims to propose a deep-learning-based LC PET denoising method incorporating computed tomography (CT) priors to further reduce the dose level.

View Article and Find Full Text PDF

Background: Patients with multiple sclerosis (MS) may remain in a relapsing-remitting (RRMS) course despite long-standing disease, while others will develop secondary progression (SPMS). Chronic inflammation and changes in the blood-brain barrier resulting in perturbed glucose metabolism may account for these differences. PET-MRI with kinetic analysis of 2-deoxy-2(18 F)fluoro-d-glucose (18 F-FDG) provides insight into glucose metabolism and has proven useful in several chronic inflammatory diseases.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!