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1.
Exp Neurol ; 336: 113525, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-33161049

RESUMEN

A pivotal neuropathological manifestation of synucleinopathies, like Parkinson's disease (PD), is the aggregation of α-synuclein. In a recent cell-to-cell transmission model of α-synuclein, α-synuclein propagation was demonstrated to resemble that of prion proteins in the central nervous system. Furthermore, exosomes, as biomolecule carriers, have been shown to transmit α-synuclein from neuron to neuron. However, the mechanisms underlying exosomal α-synuclein transmission have not been well understood. The NLR family pyrin domain containing 3 protein (NLRP3) inflammasome activation in microglia, and the subsequent release of proinflammatory cytokines, are two crucial pathological events involved in neuroinflammation and PD progression. Research has revealed that the NLRP3 inflammasome may facilitate the secretion of extracellular vesicles, as well as exosomal transmission of proteins like aggregated α-synuclein. However, only a few reports have evaluated these pathogenic mechanisms. Herein we evaluate for the first time the current evidence for the involvement of the NLRP3 inflammasome in microvesicle generation by microglial cells, and the various mechanisms regarding the production, shedding, and content of exosomes in relation to α-synuclein transmission from neuron to neuron. Furthermore, we propose a model of microglial NLRP3 inflammasome-dependent exosome secretion and exosomal α-synuclein transmission in PD. This knowledge may lead to the identification of novel potential targets for drug development and stimulate further research in PD.


Asunto(s)
Exosomas/genética , Inflamasomas/genética , Proteína con Dominio Pirina 3 de la Familia NLR/genética , Enfermedad de Parkinson/genética , alfa-Sinucleína/genética , Animales , Humanos , Microglía/metabolismo , Neuronas
2.
Med Gas Res ; 9(4): 221-228, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-31898607

RESUMEN

Medical gas is a large class of bioactive gases used in clinical medicine and basic scientific research. At present, the role of medical gas in neuroprotection has received growing attention. Stroke is a leading cause of death and disability in adults worldwide, but current treatment is still very limited. The common pathological changes of these two types of stroke may include excitotoxicity, free radical release, inflammation, cell death, mitochondrial disorder, and blood-brain barrier disruption. In this review, we will discuss the pathological mechanisms of stroke and the role of two medical gases (hydrogen and hydrogen sulfide) in stroke, which may potentially provide a new insight into the treatment of stroke.


Asunto(s)
Gases/uso terapéutico , Accidente Cerebrovascular/tratamiento farmacológico , Barrera Hematoencefálica/metabolismo , Gases/química , Humanos , Hidrógeno/uso terapéutico , Sulfuro de Hidrógeno/uso terapéutico , Mitocondrias/metabolismo , Fármacos Neuroprotectores/química , Fármacos Neuroprotectores/uso terapéutico , Especies Reactivas de Oxígeno/metabolismo , Accidente Cerebrovascular/patología
3.
CNS Neurosci Ther ; 25(10): 1173-1181, 2019 10.
Artículo en Inglés | MEDLINE | ID: mdl-31407513

RESUMEN

BACKGROUND AND PURPOSE: The aim of this study is to identify the early predictors for delayed cerebral ischemia (DCI) and develop a risk stratification score by focusing on the early change after aneurysmal subarachnoid hemorrhage (aSAH). METHODS: The study retrospectively reviewed aSAH patients between 2014 and 2015. Risk factors within 72 hours after aSAH were included into univariable and multivariable logistic regression analysis to screen the independent predictors for DCI and to design a risk stratification score. RESULTS: We analyzed 702 aSAH patients; four predictors were retained from the final multivariable analysis: World Federation of Neurosurgical Societies scale (WFNS; OR = 4.057, P < .001), modified Fisher Scale (mFS; OR = 2.623, P < .001), Subarachnoid Hemorrhage Early Brain Edema Score (SEBES; OR = 1.539, P = .036), and intraventricular hemorrhage (IVH; OR = 1.932, P = .002). According to the regression coefficient, we created a risk stratification score ranging from 0 to 7 (WFNS = 3, mFS = 2, SEBES = 1, and IVH = 1). The new score showed a significantly higher area under curve (0.785) compared with other scores (P < .001). CONCLUSION: The early DCI score provides a practical method at the early 72 hours after aSAH to predict DCI.


Asunto(s)
Isquemia Encefálica/diagnóstico por imagen , Isquemia Encefálica/fisiopatología , Hemorragia Subaracnoidea/diagnóstico por imagen , Hemorragia Subaracnoidea/fisiopatología , Adulto , Anciano , Anciano de 80 o más Años , Estudios de Cohortes , Femenino , Humanos , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Estudios Retrospectivos , Factores de Riesgo , Factores de Tiempo
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