Sympathetic modulation by levodopa reduces vascular risk factors in Parkinson disease.

Parkinsonism Relat Disord

Istituto Nazionale Neurologico C. Besta, Via Padova 113, 20127 Milan, Italy.

Published: February 2009

Background: Sympathetic nervous system hyperactivity promotes vascular disorders by its catabolic effects and by increasing arterial blood pressure. Levodopa-derived dopamine modulates sympathetic overactivity and is known to reduce blood pressure, but its effects on glucose and lipid metabolism have not been studied in large series of patients.

Methods: We retrospectively examined 483 consecutive parkinsonian patients, admitted to a single institute between 1970 and 1987, before statins were available. We compared risk factors for vascular disease in the 305 who were on levodopa with the 178 who had never received the drug.

Results: On admission levodopa-treated patients had significantly lower plasma levels of triglycerides, total cholesterol and lipids, and lower frequency of diabetes and hypertension than untreated patients. Mean body mass index, resting blood pressure, fasting plasma glucose, and smoking did not differ between the groups. A year after enrollment 160 patients were re-hospitalized; of these 63 had started levodopa during first hospitalization. In these new levodopa users total cholesterol, triglycerides and lipids had reduced to levels comparable with those of longer-term levodopa users.

Conclusion: Levodopa use in parkinsonian patients is associated with reduced vascular risk factors. In causal terms this finding might be attributed to the inhibitory action of levodopa-derived dopamine on the sympathetic nervous system.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.parkreldis.2008.04.036DOI Listing

Publication Analysis

Top Keywords

risk factors
12
blood pressure
12
vascular risk
8
sympathetic nervous
8
nervous system
8
levodopa-derived dopamine
8
parkinsonian patients
8
total cholesterol
8
levodopa
6
patients
5

Similar Publications

Converging lines of research indicate that inhibitory control is likely to be compromised in contexts that place competing demands on emotional, motivational, and cognitive systems, potentially leading to damaging impulsive behavior. The objective of this study was to identify the neural impact of three challenging contexts that typically compromise self-regulation and weaken impulse control. Participants included 66 healthy adults (M/SD = 29.

View Article and Find Full Text PDF

Objective: To explore independent risk factors and to establish a predictive model for postoperative urinary retention (POUR) following transabdominal preperitoneal inguinal hernia repair (TAPP).

Methods: Between January 2017 and December 2023, 598 patients with inguinal hernia who underwent TAPP at the General Surgery Department of Zunyi Medical University Affiliated Liupanshui Hospital were enrolled in the study. Participants were randomly divided into training and validation sets (7:3 ratio).

View Article and Find Full Text PDF

The clinical breakpoint for a drug-pathogen combination reflects the drug susceptibility of the pathogen wild-type population, the location of the infection, the integrity of the host immune response, and the drug-pathogen pharmacokinetic (PK)/pharmacodynamic (PD) relationship. That PK/PD relationship, along with the population variability in drug exposure, is used to determine the probability of target attainment (PTA) of the PK/PD index at a specified minimum inhibitory concentration (MIC) for a selected target value. The PTA is used to identify the pharmacodynamic cutoff value (CO), which is one of the three components used to establish the clinical breakpoint.

View Article and Find Full Text PDF

Background: Worldwide, there has been a worrying increase in the prevalence of syphilis. Blood banks have a major role in monitoring the trend of these events, despite the bias due to the altruistic donation strategy.

Objectives: To determine the seroprevalence of syphilis and analyse its association with defined risk factors among blood donors at the regional blood center at Hospital Prof.

View Article and Find Full Text PDF

Background: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).

Methods: We designed a deep neural network that extracts morphological features from WSI to predict 5-y overall survival (OS), and assign a survival risk score to each patient.

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!