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Doctoral thesis . 2022
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Doctoral thesis . 2022
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Autoinmunidad y sistema renina angiotensina en enfermedad de Parkinson

descriptionPublicationkeyboard_double_arrow_right Doctoral thesis 01 Jan 2022 Spain Spanish
Authors: Labandeira Guerra, Carmen María;

handle: 10347/29919

Autoinmunidad y sistema renina angiotensina en enfermedad de Parkinson

Abstract

La enfermedad de Parkinson (EP) tiene una fisiopatología multifactorial y compleja en la que participan factores inmunológicos e inflamatorios. En la presente tesis estudiamos mecanismos autoinmunes e inflamatorios mediados por el sistema renina-angiotensina cerebral, así como su relación con procesos de inflamación periférica crónica (como Síndrome Metabólico; SMet) y aguda (como COVID19). Observamos un aumento de autoanticuerpos para receptores tipo 1 de angiotensina (AT1) y ACE2 en suero y LCR de pacientes con EP y modelos experimentales, pero también en pacientes con patología inflamatoria crónica (SMet) y aguda (COVID19), sugiriendo que comorbilidades inflamatorias puedan potenciar la EP por estos mecanismos autoimmunes y apoyando reposicionar antagonistas de AT1 (ARAII) como neuroprotectores en EP.

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Spain
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Keywords

Materias::Investigación::24 Ciencias de la vida::2490 Neurociencias::249001 Neurofisiología

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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