Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
J Neurol ; 269(12): 6377-6385, 2022 Dec.
Article in English | MEDLINE | ID: mdl-35879562

ABSTRACT

Plasma biomarkers for Parkinson's disease (PD) diagnosis that carry predictive value for cognitive impairment are valuable. We explored the relationship of Mini-Mental State Examination (MMSE) score with plasma biomarkers in PD patients and compared results to vascular dementia (VaD) and normal controls. The predictive accuracy of an individual biomarker on cognitive impairment was evaluated using area under the receiver operating characteristic curve (AUROC), and multivariate logistic regression was applied to evaluate predictive accuracy of biomarkers on cognitive impairment; 178 subjects (41 PD, 31 VaD and 106 normal controls) were included. In multiple linear regression analysis of PD patients, α-synuclein, anti-α-synuclein, α-synuclein/Aß40 and anti-α-synuclein/Aß40 were highly predictive of MMSE score in both full model and parsimonious model (R2 = 0.838 and 0.835, respectively) compared to non-significant results in VaD group (R2 = 0.149) and in normal controls (R2 = 0.056). Α-synuclein and anti-α-synuclein/Aß40 were positively associated with MMSE score, and anti-α-synuclein, α-synuclein/Aß40 were negatively associated with the MMSE score among PD patients (all Ps < 0.005). In the AUROC analysis, anti-α-synuclein (AUROC = 0.788) and anti-α-synuclein/Aß40 (AUROC = 0.749) were significant individual predictors of cognitive impairment. In multivariate logistic regression, full model of combined biomarkers showed high accuracy in predicting cognitive impairment (AUROC = 0.890; 95%CI 0.796-0.984) for PD versus controls, as was parsimonious model (AUROC = 0.866; 95%CI 0.764-0.968). In conclusion, simple combination of biomarkers inclusive of α-synuclein/Aß40 strongly correlates with MMSE score in PD patients versus controls and is highly predictive of cognitive impairment.


Subject(s)
Cognitive Dysfunction , Parkinson Disease , Humans , Parkinson Disease/complications , Parkinson Disease/diagnosis , Cognitive Dysfunction/etiology , Cognitive Dysfunction/complications , Biomarkers
2.
Mol Neurobiol ; 59(3): 1476-1485, 2022 Mar.
Article in English | MEDLINE | ID: mdl-34993845

ABSTRACT

Easily accessible and accurate biomarkers can aid Parkinson's disease diagnosis. We investigated whether combining plasma levels of α-synuclein, anti-α-synuclein, and/or their ratios to amyloid beta-40 correlated with clinical diagnosis. The inclusion of amyloid beta-40 (Aß40) is novel. Plasma levels of biomarkers were quantified with ELISA. Using receiver operating characteristic (ROC) curve analysis, levels of α-synuclein, anti-α-synuclein, and their ratios with Aß40 were analyzed in an initial training set of cases and controls. Promising biomarkers were then used to build a diagnostic algorithm. Verification of the results of biomarkers and the algorithm was performed in an independent set. The training set consisted of 50 cases (age 65.2±9.3, range 44-83, female:male=21:29) with 50 age- and gender-matched controls (67.1±10.0, range 45-96 years; female:male=21:29). ROC curve analysis yielded the following area under the curve results: anti-α-synuclein=0.835, α-synuclein=0.738, anti-α-synuclein/Aß40=0.737, and α-synuclein/Aß40=0.663. A 2-step diagnostic algorithm was built: either α-synuclein or anti-α-synuclein was ≥2 times the means of controls (step-1), resulting in 74% sensitivity; and adding α-synuclein/Aß40 or anti-α-synuclein/Aß40 (step-2) yielded better sensitivity (82%) while using step-2 alone yielded good specificity in controls (98%). The results were verified in an independent sample of 46 cases and 126 controls, with sensitivity reaching 91.3% and specificity 90.5%. The algorithm was equally sensitive in Parkinson's disease of ≤5-year duration with 92.6% correctly identified in the training set and 90% in the verification set. With two independent samples totaling 272 subjects, our study showed that combination of biomarkers of α-synuclein, anti-α-synuclein, and their ratios to Aß40 showed promising sensitivity and specificity.


Subject(s)
Parkinson Disease , Adult , Aged , Aged, 80 and over , Algorithms , Amyloid beta-Peptides , Biomarkers , Female , Humans , Male , Middle Aged , Parkinson Disease/diagnosis , ROC Curve , alpha-Synuclein
3.
Dement Geriatr Cogn Disord ; 50(5): 454-459, 2021.
Article in English | MEDLINE | ID: mdl-34775383

ABSTRACT

INTRODUCTION: Little is known about the role of inflammation in the process of small vessel vascular dementia (VaD). Recently, the notion that small vessel VaD is caused solely by vascular pathology has been challenged by new evidence of concomitant breakdown of the blood-brain barrier and dysregulation of neuroinflammation in the white matter. METHODS: We examined selected inflammatory cytokines and chemokines in the plasma from patients with small vessel VaD (n = 41) and from age-matched controls (n = 131) using multiplex bead-based assays. Participants were recruited from a memory disorder clinic and from a hospital or community. RESULTS: When compared to controls, patients with small vessel VaD had a highly significant increase in the plasma interferon-γ-inducible protein 10 (IP-10) level (p < 0.0001) and a highly significant decrease in plasma macrophage inflammatory protein 1-beta (MIP-1ß) level (p < 0.0001). We also observed a significant increase in patients' levels of interleukin-10 (IL-10) (p = 0.022) as well as decreases in interleukin-8 (IL-8) (p = 0.004) and interleukin-7 (IL-7) (p = 0.011) when compared to age-matched controls. CONCLUSION: Both IP-10 and MIP-1ß are macrophage-related chemokines. The significant differences between cases and controls suggest a potential role for macrophages in small vessel VaD neuroinflammation. Although it remains unclear whether there is a causal effect of their alteration for small vessel VaD, a better understanding of these molecules in the pathogenesis of small vessel VaD may lead to improved diagnosis and future treatment outcomes against this disease.


Subject(s)
Dementia, Vascular , White Matter , Case-Control Studies , Dementia, Vascular/pathology , Humans , Macrophages/metabolism , Macrophages/pathology , Microglia/metabolism , White Matter/pathology
SELECTION OF CITATIONS
SEARCH DETAIL
...