Publications by authors named "R BORDET"

Article Synopsis
  • The study examined the long-term effects of chronic diazepam use combined with alcohol on memory in aging mice, focusing on their potential impact on cognitive function.
  • Mice were divided into four groups and underwent 16 weeks of treatment with differing combinations of ethanol and diazepam, followed by memory tests and brain chemistry assessments.
  • Results indicated that while combined use during treatment negatively affected memory performance, there were no lasting effects on memory or hippocampal chemistry after discontinuation, suggesting benefits of stopping these substances.
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  • Anxiety is common after ischemic stroke, with a prevalence of 35%, and more pronounced in females.
  • The study analyzed data from 584 patients, finding that those with post-stroke anxiety often had lower education levels, more severe strokes, and higher rates of depression and cognitive impairment.
  • The findings highlight the connection between post-stroke anxiety and cognitive issues, suggesting that individuals with cognitive impairments are more likely to experience anxiety after a stroke.
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  • Cerebral small vessel disease (SVD) can lead to various cerebrovascular issues, but research on sex differences in SVD is limited.
  • This study analyzed data from over 20,000 patients with acute ischemic stroke to examine whether the presence and severity of cerebral microbleeds (CMB) and other SVD markers differ between males and females.
  • Results showed that males had more frequent CMB while females had fewer lacunes but higher severe white matter hyperintensities, indicating distinct SVD characteristics based on sex.
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  • Blood-derived DNA methylation shows potential for early detection of dementia risk, linking biological factors with lifestyle and environmental influences.
  • A multivariate methylation risk score (MMRS) was developed, predicting mild cognitive impairment independently of age and sex, alongside significant future risk of cognitive decline in Alzheimer’s and Parkinson’s diseases.
  • The study highlights the integration of machine learning and omics data to enhance dementia risk prediction at the population level.
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  • The study examined DNA methylation patterns in blood samples related to 15 key biomarkers of Alzheimer's disease, focusing on neuroinflammation and neurodegeneration effects.
  • Using 885 samples from the EMIF-AD study, researchers identified significant differential methylation connected to CSF levels of YKL-40 and neurofilament light chain (NfL).
  • Findings suggest a link between YKL-40 DNA methylation and genetic variants, with implications for understanding how DNA methylation influences protein levels relevant to Alzheimer's disease.
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