Publications by authors named "R Giugno"
Article Synopsis
- Studies link living near major roads to a higher risk of Alzheimer's disease (AD), but the exact mechanisms are unclear.
- Exposure to diesel emissions (DE) was analyzed in olfactory mucosa cells from both healthy individuals and AD patients, revealing that AD cells showed nearly four times greater sensitivity to DE.
- DNA methylation patterns changed in response to DE exposure, identifying potential biomarkers and pathways involved, particularly highlighting the role of NRF2 signaling in cellular responses to air pollution.
Diagnosing individuals with complex genetic diseases is a challenging task. Computational methodologies exploit information at the genotype level by taking into account single nucleotide polymorphisms (SNPs) leveraging the results of genome-wide association studies analysis to assign a statistical significance to each SNP. Recent methodologies extend such an approach by aggregating SNP significance at the genetic level to identify genes that are related to the condition under study.
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- * UFP samples were taken from exhausts of different diesel engines, and researchers exposed OM cells from both cognitively healthy individuals and those with AD to these particles for varying durations.
- * Findings indicate that UFPs impair important cellular functions such as oxidative phosphorylation and redox balance, with unique responses observed in AD cells compared to healthy controls, suggesting a potential link between air pollution and neurodegenerative diseases.
The aim of this study was to investigate the relationship between source-specific ambient particulate air pollution concentrations and the incidence of dementia. The study encompassed 70,057 participants from the Västerbotten intervention program cohort in Northern Sweden with a median age of 40 years at baseline. High-resolution dispersion models were employed to estimate source-specific particulate matter (PM) concentrations, such as PM and PM from traffic, exhaust, and biomass (mainly wood) burning, at the residential addresses of each participant.
View Article and Find Full Text PDFMotivation: Cytometry comprises powerful techniques for analyzing the cell heterogeneity of a biological sample by examining the expression of protein markers. These technologies impact especially the field of oncoimmunology, where cell identification is essential to analyze the tumor microenvironment. Several classification tools have been developed for the annotation of cytometry datasets, which include supervised tools that require a training set as a reference (i.
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