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Murueta-Goyena, A.

Publications and source records attributed to Murueta-Goyena, A..

2 recordsLinked to original sources

Sex-specific vulnerability to behavioural and morphological alterations in a mouse model of Parkinson's disease overexpressing mutant A53T alpha-synuclein

Parkinsons disease (PD) is characterised by progressive degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNc) and accumulation of misfolded -synuclein (-syn). Neuroinflammation also contributes to disease onset and progression. Notably, PD exhibits sexual dimorphism in clinical presentation and treatment response. This study investigated sex-specific behavioural and morphological changes in a mouse model overexpressing A53T -syn. Male and female C57BL/6J mice received bilateral intranigral injections of adeno-associated viral vectors encoding mutant A53T -syn or empty vectors. Motor function was assessed at 60 and 120 days post-surgery using open field, wire hang, pole, and balance beam tests. Brains were collected for immunohistochemical analyses of -syn pathology, nigrostriatal integrity (tyrosine hydroxylase, TH), axonal degeneration, and neuroinflammation. -Syn overexpression induced early, subtle motor deficits primarily in males, despite preserved SNc neuronal density. Automated analysis of balance beam walking behaviour (DeepLabCut, SimBA) revealed increased immobility and reduced walking time in -syn males. At 120 days only, striatal TH levels were significantly reduced, driven by reductions in -syn males. Although undetected at 60 days, an axonal degeneration index (combining striatal TH optical density and axonal swellings) revealed more advanced degeneration in -syn males, suggesting faster disease progression. At both time points, -syn mice showed increased striatal astrogliosis without sex differences, indicating -syn-associated neuroinflammation. These findings support a PD model of early axonal degeneration and reactive astrogliosis preceding neuronal loss. The sex-specific behavioural and neuropathological patterns underscore the importance of incorporating sex as a biological variable in preclinical models and developing tailored therapeutic strategies.

neuroscience↗

The value of non-motor features and genetic variants of Parkinson's disease for clustering Lewy body diseases

IntroductionThe use of non-motor Parkinsons disease (PD) features and genetic PD variants for clustering analyses may refine the phenotypic classification of idiopathic Lewy body (LB) diseases. MethodsOne-hundred participants [n=7 E46K-SNCA (n=5 symptomatic and n=2 asymptomatic), n=4 PARK2, n=3 LRRK2, n=8 dementia with Lewy bodies (DLB), n=48 idiopathic PD (iPD), n=30 healthy controls (HC)] underwent a comprehensive evaluation of non-motor and motor PD features. Non-motor features were used to perform a hierarchical clustering analysis with patients and HC using a Scikit-learn toolkit. ResultsClustering analysis suggested three clusters of subjects including Cluster 1 or "Normal-to-mild": young iPD (< 60 years) classified together with most HC and the variable LB burden genetic PD variants (PARK2 and LRRK2) characterized by having normal-to-mild cognitive disabilities and mild-to-moderate motor disability with few axial symptoms; Cluster 2 or "Mild-to-moderate": old iPD patients (>60 years) classified together with the lowest symptomatic E46K-SNCA, PARK2 carriers and HCs, characterizing by having mild-to-moderate cognitive and motor disabilities with few axial symptoms; and Cluster 3 or "Severe": old iPD (>60 years) classified together with all DLB and the most symptomatic E46K-SNCA carriers, characterized by having severe pattern-specific cognitive disabilities (visual attention, perception, processing speed, memory and executive functions) and severe motor PD manifestations with marked axial symptoms. ConclusionsOur study supports the potential value of incorporating genetic PD variants in data-driven iPD classification algorithms and the usefulness of non-motor PD features, especially visual cognition abnormalities, to facilitate the identification of aggressive LB diseases.

neuroscience↗