Publications by authors named "E Pishva"

Background: Neurodegenerative disorders, including Alzheimer's disease (AD), have been linked to alterations in tryptophan (TRP) metabolism. However, no studies to date have systematically explored changes in the TRP pathway at both transcriptional and epigenetic levels. This study aimed to investigate transcriptomic, DNA methylomic (5mC) and hydroxymethylomic (5hmC) changes within genes involved in the TRP and nicotinamide adenine dinucleotide (NAD) pathways in AD, using three independent cohorts.

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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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Dementia with Lewy bodies and Parkinson's disease dementia are common neurodegenerative diseases that share similar neuropathological profiles and spectra of clinical symptoms but are primarily differentiated by the order in which symptoms manifest. The question of whether a distinct molecular pathological profile could distinguish these disorders is yet to be answered. However, in recent years, studies have begun to investigate genomic, epigenomic, transcriptomic and proteomic differences that may differentiate these disorders, providing novel insights in to disease etiology.

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  • Parkinson's disease shows a wide range of symptoms, including motor issues, sleep problems, cognitive changes, and neuropsychiatric effects.
  • The study explored DNA methylation patterns in the brains of those who had Parkinson's, aiming to connect these patterns with common symptoms like depression.
  • A specific pattern of DNA methylation in the substantia nigra was linked to depressive symptoms, suggesting that changes in certain types of brain cells there could contribute to depression in Parkinson's patients.
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