Publications by authors named "L Caberlotto"

The G2019S variant of LRRK2, which causes an increase in kinase activity, is associated with the occurrence of Parkinson's disease (PD). Potent, mutation-selective, and brain penetrant inhibitors of LRRK2 can suppress the biological effects specific to G2019S-LRRK2 that cause pathogenicity. We report the discovery of a series of cyanoindane and cyanotetralin kinase inhibitors culminating in compound 34 that demonstrated selective inhibition of phosphorylation of LRRK2 in the mouse brain.

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Article Synopsis
  • The metabotropic glutamate receptor 1 (mGlu) is crucial for synaptic transmission and neuronal plasticity, but its protein interactions in specific brain regions, like the cerebellum, are not fully understood.
  • Researchers used a proteomic approach to identify associated proteins, discovering well-known complexes and a novel interactor called KCTD12.
  • Further experiments showed that KCTD12 and mGlu are located close to each other in Purkinje cell spines, suggesting a potential but indirect interaction, without being mediated by GABA receptors.
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The humoral response to SARS-CoV-2 vaccination has shown to be temporary, although may be more prolonged in vaccinated individuals with a history of natural infection. We aimed to study the residual humoral response and the correlation between anti-Receptor Binding Domain (RBD) IgG levels and antibody neutralizing capacity in a population of health care workers (HCWs) after 9 months from COVID-19 vaccination. In this cross-sectional study, plasma samples were screened for anti-RBD IgG using a quantitative method.

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  • A significant portion of the global population suffers from metabolic diseases (MD), with projections indicating a potential doubling of cases in the coming decades, leading to additional health challenges like NAFLD and cardiomyopathy.
  • The investigation of genetic factors contributing to MD typically uses biological network analysis but faces issues like data bias and complexity in methodology.
  • The proposed approach introduces a straightforward, parameter-free method that considers the effects of database dependence and network topology, helping to identify key genes linked to MD and suggesting new candidates for further research.
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Pathogenic variants in the leucine-rich repeat kinase 2 (LRRK2) gene have been identified that increase the risk for developing Parkinson's disease in a dominantly inherited fashion. These pathogenic variants, of which G2019S is the most common, cause abnormally high kinase activity, and compounds that inhibit this activity are being pursued as potentially disease-modifying therapeutics. Because LRRK2 regulates important cellular processes, developing inhibitors that can selectively target the pathogenic variant while sparing normal LRRK2 activity could offer potential advantages in heterozygous carriers.

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