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Biology subjects

Martinez, P. A.

Publications and source records attributed to Martinez, P. A..

2 recordsLinked to original sources

DOPAL initiates αSynuclein-mediated impaired proteostasis in neuronal projections leading to enhanced vulnerability in Parkinson's disease.

Dopamine dyshomeostasis has been acknowledged to be among the determinants of nigrostriatal neuron degeneration in Parkinsons disease (PD). Several studies in experimental models and postmortem PD patients underlined increasing levels of the aldehydic dopamine metabolite 3,4-dihydroxyphenylacetaldehyde (DOPAL), which is highly reactive towards proteins. DOPAL has been shown to covalently modify the presynaptic protein Synuclein (Syn), whose misfolding and aggregation represent a major trait of PD pathology, triggering Syn oligomerization in dopaminergic neurons. Here, we demonstrated that DOPAL elicits Syn neuronal accumulation and hampers Syn clearance at synapses and the soma. By combining cellular and in vivo models, we provided evidence that DOPAL-induced Syn buildup lessens neuronal resilience, compromises synaptic integrity, and overwhelms protein quality control pathways, specifically at neuronal projections. The resulting progressive decline of neuronal homeostasis leads to dopaminergic neuron loss and motor impairment, corroborating the Syn-DOPAL interplay as an early event in PD neurodegeneration.

neuroscience↗

Influence of human population density on spatial distribution patterns of environmental suitability for triatomine vectors of Chagas disease

Previous work on Chagas Disease disease at large spatial scales has not explored how interaction with humans can affect projections for geographical distribution of environmental suitability of vector species. Here, we compare niche-based species distribution models with climatic variables as predictors (SDMclim) and with climatic variables + human population density (SDMHuman). Our results show that accounting for human population density helps refine the models to finer geographical scales. Also, different spatial patterns of accumulated environmental suitability were obtained by SDMclim and SDMHuman. Moreover, projections were more accurate for SDMHuman than for SDMclim. Our results show that considering human populations in SDMs for epidemiologically relevant triatomiane species can improve our understanding of macroecology and biogeography of environmental suitability for vectors of Chagas disease.

ecology↗