Lisa Vermunt
@LisaVermunt
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@AlzheimerAms | MD | PhD | biofluid biomarkers | autosomal dominant Alzheimer | proteomics | disease modelling | clinical trials
Amsterdam, Nederland
Joined May 2014
🙏Equally excited to share plasma glial fibrillary acidic protein (#GFAP) in #DIAN! 👉 see: https://t.co/EcPMyE5Xvw
@alzdemjournals 👉 or go for the summary below by my dear co-author @PratishthaChat7
@AlzheimerAms @Alz_onderzoek @AmsNeuroscience #stichtingdioraphte
(1/6) Excited that our paper on plasma glial fibrillary acidic protein (#GFAP) in dominantly inherited #AlzheimersDisease is now out👉 https://t.co/fgWHENqkBr.
@alzdemjournals. 🙏Many thanks @LisaVermunt @BrianGordon81 @RalphNMartins1 @CharlotteTeuni1 and all collaborators!
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Senescent glia link mitochondrial dysfunction and lipid accumulation
nature.com
Nature - The authors identify naturally occurring senescent glia in aged Drosophila brains and decipher their origin and influence, determining that they can appear in response to neuronal...
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Out now in @braincomms. Worked started over two years ago by @karin_meeker examining the relationship between 27 different AD biomarkers including MRI, PET, mass-spec, and plasma measures.
academic.oup.com
Meeker et al. use machine learning methods on 27 plasma, CSF, MRI and PET Alzheimer’s disease biomarkers to demonstrate that although the number of Alzheim
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Trends in Postmortem Neurodegenerative and Cerebrovascular Neuropathologies Over 25 Years
pubmed.ncbi.nlm.nih.gov
In this study, few differences in neurodegenerative pathologies were found, but there may be worse levels of tau tangles across birth cohorts over 25 years. This indicates that any improvements over...
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-> now online in @NatureComms
https://t.co/PQoYWr6RXc
The dream of #biomarker #discovery with #proteomics - check out our preprint with our novel, replicable, mechanistically logical protein biomarkers in #CSF for #DLB
https://t.co/XjnPR8DPBT
@AlzheimerAms @AmsNeuroscience @BarcelonaBeta Del Campo,@CharlotteTeuni1 and others
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The dream of #biomarker #discovery with #proteomics - check out our preprint with our novel, replicable, mechanistically logical protein biomarkers in #CSF for #DLB
https://t.co/XjnPR8DPBT
@AlzheimerAms @AmsNeuroscience @BarcelonaBeta Del Campo,@CharlotteTeuni1 and others
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NWO vroeg aan 5 wetenschappers welke oproep zij aan de #politiek doen op #Prinsjesdag. Onderzoeker @LisaVermunt van @AlzheimerAms wil overbrengen hoe belangrijk kennis is. “Zonder wetenschap geen nieuwe medicijnen.” Lees alle oproepen: https://t.co/hRZePxzMSR
@NWONieuws
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NWO Veni-beurs voor onderzoekers @AlzheimerAms: @LisaVermunt en Femke Feringa. Lees meer:
alzheimercentrum.nl
De NWO heeft dit jaar aan twee onderzoekers van Alzheimercentrum Amsterdam, Amsterdam UMC de Veni-beurs toegekend.
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Very grateful for my #Veni grant! A boost for our research line on familial #AD. By tracing #astrocyte failure with #laboratory tests, we will better understand how #Alzheimer evolves, to further precise forecasting and faster treatments. @ZonMw @AlzheimerAms @AmsNeuroscience
NWO has awarded Veni funding of up to EUR 280,000 to 188 promising researchers from the full breadth of science. This will allow the laureates to further develop their own research ideas over the next three years. https://t.co/tUCSbytmva
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A trio of studies make a strong case that SORL1 is the fourth familial Alzheimer’s gene. @AarhusUni @amsterdamumc
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The dream of #biomarker #discovery with #proteomics - check out our preprint with our novel, replicable, mechanistically logical protein biomarkers in #CSF for #DLB
https://t.co/XjnPR8DPBT
@AlzheimerAms @AmsNeuroscience @BarcelonaBeta Del Campo,@CharlotteTeuni1 and others
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With shared pathophysiological CSF changes, ADAD study findings might be translatable to sporadic AD, which could greatly expedite therapy development.
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This CSF proteomics study demonstrates substantial biochemical similarities between ADAD and sporadic AD, suggesting involvement of the same biological processes. We identified several relatively novel proteins, which have potential as novel biomarkers.
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Excited to share my newest senior author work in @Brain1878 !!!: CSF #proteomics in autosomal dominant #Alzheimer’s disease highlights parallels with sporadic disease https://t.co/NxRV4OlXSq
@AlzheimerAms @GeneticAMS @AmsNeuroscience @CharlotteTeuni1 @OlinkProteomics
academic.oup.com
Van der Ende et al. measured more than 1400 CSF proteins in familial Alzheimer's disease mutation carriers and found 66 significantly dysregulated proteins
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Our latest publication: Proteomics of brain, CSF, and plasma identifies molecular signatures for distinguishing sporadic and genetic Alzheimer’s disease https://t.co/qn4MX3Y76F
@WUADRC @Neuro_Genomics @WashUNeurology
science.org
Proteomics of brain, CSF, and plasma identifies markers that distinguish sporadic AD from autosomal dominant AD (ADAD) and TREM2 risk carriers.
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Breaking news: @EliLillyandCo Phase 3 trial of Donanemab is positive, showing significant slowing on cognitive and functional outcomes. Now we have two positive trials showing effects of amyloid clearance in Alzheimer's disease-- hugely exciting times! https://t.co/pgpm34UMmv
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Van Engelen et al. report that the use of urine as a matrix for neurofilament light chain (NfL) analysis to differentiate frontotemporal dementia from psychiatric disorders is not suitable and that urine NfL levels did not correlate with serum levels. https://t.co/vR9RMXUN9R
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I’m VERY excited to share our latest work with @LauraPiccio. Led by the brilliant @FabiaFilipello identifying defects in iPSC-microglia from Nasu Hakola patients that were restored by targeting mTOR dependent and independent pathways
link.springer.com
Acta Neuropathologica - TREM2 is an innate immune receptor expressed by microglia in the adult brain. Genetic variation in the TREM2 gene has been implicated in risk for Alzheimer’s disease...
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Biological enrichment for cell signalling and immune response pathways, with lower levels in fast progressing patients. Taken together, we present a novel progression biomarker identification framework and protein leads for prediction of cognitive decline in dementia.
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#TNFRSF4 and #TGF ββ-1 emerged as the top markers, being lower in fast-progressing patients compared to slow-progressing patients. None of our top markers stood out as strong individual predictors of subsequent #cognitive #decline.
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👉 paper alert! Providing an accurate #prognosis for individual #dementia patients remains a challenge. We used machine learning techniques to identify #CSF #biomarkers that predict decline. https://t.co/mT55rfD7p4
@AmsNeuroscience @AlzheimerAms @CharlotteTeuni1 @OlinkProteomics
nature.com
Scientific Reports - Discovery of novel CSF biomarkers to predict progression in dementia using machine learning
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