Publications by authors named "Darly Giraldo"

β-blockers that easily cross the blood-brain barrier (BBB) seem to diminish the risk of Alzheimer's disease (AD), hypothetically facilitating waste clearance. However, their effect on AD pathophysiological markers is unknown. We compared cerebrospinal fluid (CSF) AD biomarker levels among non-demented individuals taking low, intermediate, or high BBB permeable β-blockers in two samples (ADNI:  = 216; EPAD:  = 79).

View Article and Find Full Text PDF
Article Synopsis
  • A novel α-synuclein seed amplification assay (synSAA) was developed to differentiate misfolded α-synuclein seeds linked to multiple system atrophy (MSA) and Parkinson's disease (PD).
  • The study analyzed cerebrospinal fluid (CSF) and brain samples from various clinical cohorts across multiple medical centers to assess the assay's diagnostic accuracy.
  • Findings showed that brain samples with Lewy bodies were positive for synSAA, indicating potential for the assay in distinguishing between MSA and PD in diagnostic settings.
View Article and Find Full Text PDF

The distinguishing pathogenic features of neurodegenerative diseases include mitochondrial dysfunction and derived reactive oxygen species generation. The neural tissue is highly sensitive to oxidative stress and this is a prominent factor in both chronic and acute neurodegeneration. Based on this, therapeutic strategies using antioxidant molecules towards redox equilibrium have been widely used for the treatment of several brain pathologies.

View Article and Find Full Text PDF

Background And Purpose: Multiple system atrophy(MSA) is a rare adult-onset synucleinopathy that can be divided in two subtypes depending on whether the prevalence of its symptoms is more parkinsonian or cerebellar (MSA-P and MSA-C, respectively). The aim of this work is to investigate the structural MRI changes able to discriminate MSA phenotypes.

Methods: The sample includes 31 MSA patients (15 MSA-C and 16 MSA-P) and 39 healthy controls.

View Article and Find Full Text PDF

Background/objective: Multiple system atrophy (MSA) is a highly debilitating, rare neurodegenerative disorder with two clinical motor variants (parkinsonian or MSA-P and cerebellar or MSA-C). There is a wide span of motor and non-motor symptoms (NMS) that progress over time. We studied the cohort from the Catalan Multiple System Atrophy Registry (CMSAR) to determine which symptoms are most likely to progress throughout a 2-year follow-up.

View Article and Find Full Text PDF

Background: Multiple system atrophy (MSA) is a rare oligodendroglial synucleinopathy of unknown etiopathogenesis including two major clinical variants with predominant parkinsonism (MSA-P) or cerebellar dysfunction (MSA-C).

Objective: To identify novel disease mechanisms we performed a blood transcriptomic study investigating differential gene expression changes and biological process alterations in MSA and its clinical subtypes.

Methods: We compared the transcriptome from rigorously gender and age-balanced groups of 10 probable MSA-P, 10 probable MSA-C cases, 10 controls from the Catalan MSA Registry (CMSAR), and 10 Parkinson Disease (PD) patients.

View Article and Find Full Text PDF

Recent studies combining diffusion tensor-derived metrics and machine learning have shown promising results in the discrimination of multiple system atrophy (MSA) and Parkinson's disease (PD) patients. This approach has not been tested using more complex methodologies such as probabilistic tractography. The aim of this work is assessing whether the strength of structural connectivity between subcortical structures, measured as the number of streamlines (NOS) derived from tractography, can be used to classify MSA and PD patients at the single-patient level.

View Article and Find Full Text PDF

Introduction: Neuroinflammation is a potential player in neurodegenerative conditions, particularly the aggressive ones, such as multiple system atrophy (MSA). Previous reports on cytokine levels in MSA using serum or cerebrospinal fluid (CSF) have been inconsistent, including small samples and a limited number of cytokines, often without comparison to Parkinson's disease (PD), a main MSA differential diagnosis.

Methods: Cross-sectional study of CSF levels of 38 cytokines using a multiplex assay in 73 participants: 39 MSA patients (19 with parkinsonian type [MSAp], 20 with cerebellar type [MSAc]; 31 probable, 8 possible), 19 PD patients and 15 neurologically unimpaired controls.

View Article and Find Full Text PDF

Background: Recent studies using resting-state functional connectivity and machine-learning to distinguish patients with neurodegenerative diseases from other groups of subjects show promising results. This approach has not been tested to discriminate between Parkinson's disease (PD) and multiple system atrophy (MSA) patients.

Objectives: Our first aim is to characterize possible abnormalities in resting-state functional connectivity between the cerebellum and a set of intrinsic-connectivity brain networks and between the cerebellum and different regions of the striatum in PD and MSA.

View Article and Find Full Text PDF

Introduction: The finding of mutations of the COQ2 gene and reduced coenzyme Q10 levels in the cerebellum in multiple system atrophy (MSA) suggest that coenzyme Q10 is relevant to MSA pathophysiology. Two recent studies have reported reduced coenzyme Q10 levels in plasma and serum (respectively) of MSA patients compared to Parkinson's disease and/or control subjects, but with largely overlapping values, limited comparison with other parkinsonisms, or dependence on cholesterol levels. We hypothesized that cerebrospinal fluid (CSF) is reliable to assess reductions in coenzyme Q10 as a candidate biomarker of MSA.

View Article and Find Full Text PDF