Prediction of future weight change with the dopamine transporter

Lifestyle Modulators of Neuroplasticity in Parkinson's Disease: Evidence in Human Neuroimaging Studies

Parkinson's disease (PD) is a neurodegenerative disease characterized by both motor and non-motor symptoms. A progressive neuronal loss and the consequent clinical impairment lead to deleterious effects on daily living and quality of life. Despite effective symptomatic therapeutic approaches, no disease-modifying therapies are currently available. Emerging evidence suggests that adopting a healthy lifestyle can improve the quality of life of PD patients. In addition, modulating lifestyle factors can positively affect the microstructural and macrostructural brain levels, corresponding to clinical improvement. Neuroimaging studies may help to identify the mechanisms through which physical exercise, dietary changes, cognitive enrichment, and exposure to substances modulate neuroprotection. All these factors have been associated with a modified risk of developing PD, with attenuation or exacerbation of motor and non-motor symptomatology, and possibly with structural and molecular changes. In the present work, we review the current knowledge on how lifestyle factors influence PD development and progression and the neuroimaging evidence for the brain structural, functional, and molecular changes induced by the adoption of positive or negative lifestyle behaviours.

Prediction of future weight change with dopamine transporter in patients with Parkinson's disease

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.