Several antecedent studies had reported close relationship between low body weight and Parkinson's disease (PD). However, there have been few investigations about the role of body weight to nigrostriatal dopaminergic neurodegeneration. This study enrolled 398 de novo patients with PD whom underwent [18F] N-(3-Fluoropropyl)-2β-carbon ethoxy-3β-(4-iodophenyl) nortropane positron emission tomography scan and body mass index (BMI) measurement. The relationships between BMI and dopamine transporter (DAT) activity were analyzed using linear regression analysis. A multivariate analysis adjusted for age, gender, disease duration, smoking status, coffee and tea consumption, and residence area revealed that BMI remained independently and significantly associated with DAT activity in all striatal subregions. Moreover, multiple logistic regression analyses showed that BMI was a significant predictor for the lowest quartile of DAT activity in the anterior putamen, ventral striatum, caudate nucleus, and total striatum. The present findings suggest that a low BMI might be closely associated with low density of nigrostriatal dopaminergic neurons in PD, which could support the evidence for the role of low body weight to PD-related pathologies.
|Number of pages||8|
|Journal||Neurobiology of Aging|
|Publication status||Published - 2016|
Bibliographical noteFunding Information:
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare , Republic of Korea (grant number: HI14C0093 ). Lee Jae Jung designed and conducted the study, analyzed clinical data, interpreted data, and drafted the article. Oh Jungsu S. and Lee Injoo analyzed imaging data. Ham Jee H. and Lee Dong H. conducted the study and collected clinical data. Sohn Young H. and Kim Jae S. conducted the study and analyzed imaging data. Lee Phil Hyu designed and conducted the study, interpreted data, drafted the article, and supervised the study.
© 2016 Elsevier Inc.
All Science Journal Classification (ASJC) codes
- Clinical Neurology
- Developmental Biology
- Geriatrics and Gerontology