Prediction of future weight change with dopamine transporter in patients with Parkinson's disease.
Kyoungjune PakHeeyoung KimJu Won SeokMyung Jun LeeSeunghyeon ShinKeunyoung KimJae Meen LeeYoungduk SeoBum Soo KimSungmin JunIn Joo KimPublished in: Journal of neural transmission (Vienna, Austria : 1996) (2019)
Fluctuating body weight is a commonly reported nonmotor feature in patients with Parkinson's disease (PD). We hypothesised that striatal dopamine transporter (DAT) density at the time of diagnosis might play an important role in weight regulation in patients with PD. DAT density was measured from 123I-FP-CIT single-photon emission computed tomography. Region-of-interest analyses were performed to measure the specific binding of 123I-FP-CIT to DAT, and the putamen-to-caudate nucleus ratio (PCR) was calculated. Body weight was measured at baseline (W0) and at 48 months (W48). We classified subjects into three groups: weight loss, stable, and weight gain. In final analyses, 163 patients (106 men, 57 women) were included. PCR significantly differed by group in men, but not in women or across all patients. In men, PCR was slightly negatively associated with the percentage change in weight. No such correlation was found across all patients or in women. In univariate and multivariate logistic regression analyses, low PCR was associated with future weight gain in men with PD but not in women. In conclusion, striatal DAT availability at the time of diagnosis could predict subsequent weight change in men with PD.
Keyphrases
- weight gain
- body weight
- weight loss
- body mass index
- end stage renal disease
- ejection fraction
- computed tomography
- newly diagnosed
- chronic kidney disease
- polycystic ovary syndrome
- physical activity
- bariatric surgery
- prognostic factors
- birth weight
- patient reported outcomes
- type diabetes
- parkinson disease
- magnetic resonance imaging
- metabolic syndrome
- middle aged
- machine learning
- deep learning
- preterm birth
- insulin resistance
- cervical cancer screening
- uric acid
- functional connectivity
- gastric bypass
- transcription factor
- water quality
- prefrontal cortex
- real time pcr
- data analysis