Publications by authors named "D L Van den Hove"
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.
Oligodendrocyte precursor cells (OPCs) comprise 5-8 % of the adult glial cell population and stand out as the most proliferative cell type in the central nervous system (CNS). OPCs are responsible for generating oligodendrocytes (OLs), the myelinating cells of the CNS. However, OPC functions decline as we age, resulting in impaired differentiation and inadequate remyelination.
View Article and Find Full Text PDFMicroglia activity can drive excessive synaptic loss during the prodromal phase of Alzheimer's disease (AD) and is associated with lowered cyclic adenosine monophosphate (cAMP) due to cAMP phosphodiesterase 4B (PDE4B). This study aimed to investigate whether long-term inhibition of PDE4B by A33 (3 mg/kg/day) can prevent synapse loss and its associated cognitive decline in APPswe/PS1dE9 mice. This model is characterized by a chimeric mouse/human APP with the Swedish mutation and human PSEN1 lacking exon 9 (dE9), both under the control of the mouse prion protein promoter.
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- Prosthetic valve endocarditis (PVE) is a serious complication with a yearly incidence of 0.4-1.0%, and existing diagnostic criteria, particularly the modified Duke/ESC 2015 (MDE2015), have limitations in sensitivity and specificity for PVE cases, even with new imaging techniques added.
- A study was conducted using data from 160 patients to compare four machine learning algorithms against the MDE2015 criteria in diagnosing PVE, utilizing a comprehensive approach that included clinical information and surgical findings as the gold standard.
- Results showed varying diagnostic performance for MDE2015 based on handling 'possible' PVE cases, with high sensitivity (0.96) but low specificity (0.