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Abstract Details

Glycated Hemoglobin Levels are Inversely Correlated with FDG-PET Uptake in Non-diabetic Patients with Parkinson's Disease
Movement Disorders
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We investigated the correlation between regional brain glucose metabolism, measures of peripheral insulin resistance (IR) and motor severity in Parkinson’s disease (PD).

Type 2 diabetes (T2D) may contribute to the pathogenesis of PD and IR is one of the putative links between them. However, assessment of brain IR is problematic. Fludeoxyglucose (18F) positron emission tomography (FDG-PET) imaging can provide a surrogate marker for brain tissue glucose metabolism. Abnormal FDG-PET patterns have been described in PD patients, but never correlated to insulinemic state.

Brain FDG-PET scans were acquired using a PET/MR integrated scanner (Siemens Biograph mMR). Mean standardized uptake value (SUV) was measured from fused FDG-PET images using a quantification software (FusionQuant V1.0). Frontal, parietal, lateral temporal, and occipital lobes as well as the sensorimotor cortices, putamen, thalamus, locus coeruleus, and cerebellum were analyzed. A total of 84 circular regions of interest (ROIs) - 42 per hemisphere - were manually drawn. ROIs were 10-mm in diameter and 5-mm in height for each region, except for the locus coeruleus (LC) which was 6-mm in diameter and 3-mm in height. The reader ensured that ROIs did not overlap. Correlations between regional SUV mean, HbA1C, and MDS-UPDRS were calculated using linear regression analysis.

Thirty-seven non-diabetic PD patients (26M, 11F) with a mean age of 65.33±8.29 participated in this study. SUV mean in bilateral sensorimotor and temporal cortices, putamen, LC, and cerebellum in addition to the left parietal region showed a strong positive correlation with off-medication MDS-UPDRS part III scores (p<0.05). HbA1C had a negative correlation in all studied brain regions except left LC and right putamen (p<0.05).

Central glucose metabolism appears to be affected by HbA1c levels and disease severity in PD. FDG-PET/MRI imaging is poised to become an essential tool to monitor disease course and therapy efficacy.
Authors/Disclosures
Elliot J. Hogg, MD (Cedars-Sinai Medical Center)
PRESENTER
Dr. Hogg has nothing to disclose.
Helia Maghzi, MD (Cedars sinai) Dr. Maghzi has nothing to disclose.
No disclosure on file
Echo Tan, MD (Cedars Sinai Medical Center) Dr. Tan has received personal compensation in the range of $5,000-$9,999 for serving on a Speakers Bureau for Allergan.
No disclosure on file
No disclosure on file
No disclosure on file
Michele Tagliati, MD, FÂé¶¹´«Ã½Ó³»­ (Cedars-Sinai Medical Center) Dr. Tagliati has received publishing royalties from a publication relating to health care.