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Título

New Pieces for an Old Puzzle: Approaching Parkinson’s Disease from Translatable Animal Models, Gut Microbiota Modulation, and Lipidomics

AutorOrtega Moreno, L.; Bagues, Ana; Martínez, V.; Abalo, Raquel CSIC ORCID
Palabras claveanimal models
constipation
Dopamine
gastrointestinal
Gut-brain axis
lipidome
microbiota
Non-motor symptoms
Parkinson’s disease
Probiotics
Fecha de publicación2023
EditorMultidisciplinary Digital Publishing Institute
CitaciónNutrients 15 (2023)
ResumenParkinson’s disease (PD) is a severe neurodegenerative disease characterized by disabling motor alterations that are diagnosed at a relatively late stage in its development, and non-motor symptoms, including those affecting the gastrointestinal tract (mainly constipation), which start much earlier than the motor symptoms. Remarkably, current treatments only reduce motor symptoms, not without important drawbacks (relatively low efficiency and impactful side effects). Thus, new approaches are needed to halt PD progression and, possibly, to prevent its development, including new therapeutic strategies that target PD etiopathogeny and new biomarkers. Our aim was to review some of these new approaches. Although PD is complex and heterogeneous, compelling evidence suggests it might have a gastrointestinal origin, at least in a significant number of patients, and findings in recently developed animal models strongly support this hypothesis. Furthermore, the modulation of the gut microbiome, mainly through probiotics, is being tested to improve motor and non-motor symptoms and even to prevent PD. Finally, lipidomics has emerged as a useful tool to identify lipid biomarkers that may help analyze PD progression and treatment efficacy in a personalized manner, although, as of today, it has only scarcely been applied to monitor gut motility, dysbiosis, and probiotic effects in PD. Altogether, these new pieces should be helpful in solving the old puzzle of PD.
Versión del editorhttp://dx.doi.org/10.3390/nu15122775
URIhttp://hdl.handle.net/10261/343787
Identificadoresdoi: 10.3390/nu15122775
issn: 2072-6643
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