Involvement of Fe(III) in the formation of immunoglobulin G-enriched protein aggregates in human plasma.

A small fraction of the proteins present in human plasma can be found as circulating protein aggregates. Such aggregates are formed by prone to aggregation proteins and different stimuli promote the aggregation process. Fe(III) is a redox active metal ion which also actively interacts with proteins.

Custom Ankle-Foot Orthosis in Foot Drop: Influence on Body Joints Kinematics.

Ankle Foot Orthoses (AFOs) are external supports typically prescribed in clinical practice to address foot drop deficits. Lower limb orthoses have been shown to have positive effects on spatio-temporal gait metrics, while the impact on body joint kinematics is less clear and varies in the literature. The objective of this study is to investigate the presence of a common movement pattern in body joints that compensates for the foot drop deficit.

Ankle-Foot Orthoses affect Spatio-Temporal Gait Parameters in Foot Drop Patients.

Ankle-foot orthosis (AFO) prescriptions are common for patients presenting the deficit of foot drop. The intervention aims at improving ankle-foot function and enhancing general gait quality. In this work the asymmetries in gait of foot drop patients and the effectiveness of a plastic passive AFO are investigated by means of statistical methods performed on spatiotemporal measures collected using 3D gait analysis.

Addressing the need for standardization of symptomatic medication documentation in Parkinson's disease clinical research: A call to action.

People with Parkinson's disease (PD) are prescribed a variety of medications to mitigate symptoms and improve their quality of life. These symptomatic therapies cover a range of pharmacological classes, including classical dopaminergic treatments, other antiparkinsonian agents, and pharmacotherapies for non-PD conditions. Often, medications are prescribed for concomitant use and in increasing doses, particularly as the disease progresses.

Estimation of and clinical consensus on the meaningful motor progression threshold on MDS-UPDRS Part III.

Background: To understand changes in the underlying progression of early Parkinson's disease, it is important to derive estimates of the threshold for meaningful motor progression on the MDS-UPDRS Part III in OFF medication state.

Objective: To estimate this threshold using two approaches: anchor-based analyses, and clinical consensus via a modified Delphi panel.

Methods: For the anchor-based analyses, data from a Phase II clinical trial were used.

Prediction of mortality in heart failure by machine learning. Comparison with statistical modeling.

Background: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.

Methods: The primary outcome was three-year mortality. The following 5 machine learning approaches were used for modeling: Random Forest (RF), Gradient Boosting, Extreme Gradient Boosting (XGBoost), Support Vector Machine, and Multilayer perceptron.

Development and validation of the Neuro-Score: a specific scale to detect and monitor cognitive impairment in kidney or liver transplant recipients.

We created and validated the Neuro-Score, a specific scale to detect and monitor cognitive impairment, including mild stages, in kidney or liver transplant recipients. A qualitative study was conducted to define a preliminary set of 62 items. Item reduction was performed using exploratory factor analysis.

The Role of Butirprost as an Adjuvant in Enhancing the Effect of Antibiotics in Patients Affected by Chronic Bacterial Prostatitis: A Randomized Prospective Trial.

Bacterial prostatitis (BP) is a common prostatic infection characterized by pain and urinary symptoms, often with negative bacterial cultures from prostatic secretions. It affects young and older men bimodally and impacts quality of life (QoL) significantly. : Treatment typically involves antibiotics, but a multimodal approach with additional nutraceuticals may enhance outcomes.

A Phase 2b, multicenter, randomized, double-blind, placebo-controlled study to evaluate the efficacy and safety of intravenous prasinezumab in early-stage Parkinson's disease (PADOVA): Rationale, design, and baseline data.

Introduction: Prasinezumab was shown to potentially delay motor progression in individuals with early-stage Parkinson's disease (PD) who were either treatment-naïve or on monoamine oxidase type B inhibitor (MAO-Bi) therapy in the PASADENA study. We report the rationale, design, and baseline patient characteristics of the PADOVA study, designed to evaluate prasinezumab in an early-stage PD population receiving standard-of-care (SOC) symptomatic medications.

Methods: PADOVA (NCT04777331) is a Phase 2b, multicenter, randomized, double-blind, placebo-controlled, parallel-group study, in which individuals with early-stage PD on SOC stable symptomatic monotherapy (levodopa or MAO-Bi) receive intravenous prasinezumab 1500 mg every 4 weeks.

A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors.

Abnormal locomotor patterns may occur in case of either motor damages or neurological conditions, thus potentially jeopardizing an individual's safety. Pathological gait recognition (PGR) is a research field that aims to discriminate among different walking patterns. A PGR-oriented system may benefit from the simulation of gait disorders by healthy subjects, since the acquisition of actual pathological gaits would require either a higher experimental time or a larger sample size.

Biologically defined neuronal synuclein disease as a tool to advance drug development.

In a recent Viewpoint article (. 2024;81:789‒90), Okubadejo et al. raised concerns regarding two recent proposals for biological definitions and staging systems for synucleinopathies (the Neuronal Synuclein Disease Integrated Staging System and SynNeurGe system).

Trapped-ion quantum simulation of electron transfer models with tunable dissipation.

Electron transfer is at the heart of many fundamental physical, chemical, and biochemical processes essential for life. The exact simulation of these reactions is often hindered by the large number of degrees of freedom and by the essential role of quantum effects. Here, we experimentally simulate a paradigmatic model of molecular electron transfer using a multispecies trapped-ion crystal, where the donor-acceptor gap, the electronic and vibronic couplings, and the bath relaxation dynamics can all be controlled independently.

Prooxidant state in anticancer drugs and prospect use of mitochondrial cofactors and anti-inflammatory agents in cancer prevention.

An extensive body of literature has associated cancer with redox imbalance and inflammatory conditions. Thus, several studies and current clinical practice have relied on the use of anticancer drugs known to be associated with prooxidant state. On the other hand, a number of studies have reported on the effects of several antioxidants, anti-inflammatory agents and of mitochondrial cofactors (also termed mitochondrial nutrients, MNs) in counteracting or slowing carcinogenesis, or in controlling cancer growth.

Accelerating Parkinson's Disease drug development with federated learning approaches.

Parkinson's Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

Obesity Is Increasing in Liver Transplant Recipients and Exacerbates Cardiovascular Risk: A Single-Centre European Study.

Purpose: Recent changes in the profile of liver transplant (LT) recipients include an increasing number of patients with metabolic-associated steatotic liver disease (MASLD), which is associated with obesity and cardiovascular risk. We aimed to investigate the trend in the presence of obesity among LT recipients and its association with cardiovascular risk.

Materials And Methods: Single-centre retrospective study, which included LT recipients between 2015 and 2020.

Sustained effect of prasinezumab on Parkinson's disease motor progression in the open-label extension of the PASADENA trial.

The Phase II trial of Anti-alpha-Synuclein Antibody in Early Parkinson's Disease (PASADENA) is an ongoing double-blind, placebo-controlled trial evaluating the safety and efficacy of prasinezumab in early-stage Parkinson's disease (PD). During the double-blind period, prasinezumab-treated individuals showed less progression of motor signs (Movement Disorders Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part III) than placebo-treated individuals. We evaluated whether the effect of prasinezumab on motor progression, assessed as a change in MDS-UPDRS Part III score in the OFF and ON states, and MDS-UPDRS Part II score, was sustained for 4 years from the start of the trial.

Neuronal alpha-Synuclein Disease integrated staging system performance in PPMI, PASADENA, and SPARK baseline cohorts.

The Neuronal alpha-Synuclein Disease (NSD) biological definition and Integrated Staging System (NSD-ISS) provide a research framework to identify individuals with Lewy body pathology and stage them based on underlying biology and increasing degree of functional impairment. Utilizing data from the PPMI, PASADENA, and SPARK studies, we developed and applied biologic and clinical data-informed definitions for the NSD-ISS across the disease continuum. Individuals enrolled as Parkinson's disease, Prodromal, or Healthy Controls were defined and staged based on biological, clinical, and functional anchors at baseline.

Comparison of KF-Based Vehicle Sideslip Estimation Logics with Increasing Complexity for a Passenger Car.

Nowadays, control is pervasive in vehicles, and a full and accurate knowledge of vehicle states is crucial to guarantee safety levels and support the development of Advanced Driver-Assistance Systems (ADASs). In this scenario, real-time monitoring of the vehicle sideslip angle becomes fundamental, and various virtual sensing techniques based on both vehicle dynamics models and data-driven methods are widely presented in the literature. Given the need for on-board embedded device solutions in autonomous vehicles, it is mandatory to find the correct balance between estimation accuracy and the computational burden required.

Perfect digital impression of natural abutment teeth without using retraction cords.

Digital technologies are gradually gaining ground in dentistry. In particular, taking impressions with intraoral scanners is becoming routine; however, even this must often be preceded by the use of retraction cords. This article presents an innovative technique to record digital impressions of natural tooth abutments using interim restorations relined with impression material instead of retraction cords.

Modeling of Parkinson's Disease Progression and Implications for Detection of Disease Modification in Treatment Trials.

Background: Objectively measuring Parkinson's disease (PD) signs and symptoms over time is critical for the successful development of treatments aimed at halting the disease progression of people with PD.

Objective: To create a clinical trial simulation tool that characterizes the natural history of PD progression and enables a data-driven design of randomized controlled studies testing potential disease-modifying treatments (DMT) in early-stage PD.

Methods: Data from the Parkinson's Progression Markers Initiative (PPMI) were analyzed with nonlinear mixed-effect modeling techniques to characterize the progression of MDS-UPDRS part I (non-motor aspects of experiences of daily living), part II (motor aspects of experiences of daily living), and part III (motor signs).

Frailty and Parkinson's disease: the role of diabetes mellitus.

Parkinson's disease (PD) is a chronic neurodegenerative disease associated with a progressive loss of dopaminergic neurons, clinically characterized by motor and non-motor signs. Frailty is a clinical condition of increased vulnerability and negative health outcomes due to the loss of multiple physiological reserves. Chronic hyperglycemia and insulin resistance, which characterize diabetes mellitus (DM), have been reported to alter dopaminergic activity, increase the risk of PD, and influence the development of frailty.

Interplay between male gonadal function and overall male health.

The process-of-male reproduction is intricate, and various medical conditions-have the potential to disrupt spermatogenesis. Moreover, infertility in males can serve as an indicator of-potential future health issue. Numerous conditions with systemic implications have been identified, encompassing genetic factors (such as Klinefelter Syndrome), obesity, psychological stress, environmental factors, and others.