Evidence map›Paper›PMID 37348871›Full record

ArticleBrain : a journal of neurology2023

CSF proteomics in autosomal dominant Alzheimer's disease highlights parallels with sporadic disease.

Emma L van der Ende, Sjors G J G In 't Veld, Iris Hanskamp, Sven van der Lee, Janna I R Dijkstra, Yanaika S Hok-A-Hin, Elena R Blujdea, John C van Swieten, David J Irwin, Alice Chen-Plotkin and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 3 countries.

Emma L van der EndeNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Sjors G J G In 't VeldNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Iris HanskampNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Sven van der LeeAlzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Janna I R DijkstraAlzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Yanaika S Hok-A-HinNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0001-9713-116X
Elena R BlujdeaNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
John C van SwietenAlzheimer Center and Department of Neurology, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
David J IrwinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-5599-5098
Alice Chen-PlotkinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
William T HuDepartment of Neurology, Emory University School of Medicine, Atlanta, GA 30307, USA.
Afina W LemstraAlzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Yolande A L PijnenburgAlzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Wiesje M van der FlierAlzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Marta Del CampoNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0003-2808-3699
Charlotte E TeunissenNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-4061-0837
Lisa VermuntNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0001-7420-6384
Amsterdam Neuroscience · NLAmsterdam University Medical Centers · NLUniversity of Pennsylvania · USEmory University · USErasmus MC · NLUniversidad San Pablo CEU · ES

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Corey T McMillan · 2021 to 2026
$24.8M
Project IV: In Vivo Dissection of Genetic Modifiers on Different Stages of SynucleinopathyP01AG084497 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN · 2024 to 2026
$15.2M
TMEM106B in neurodegenerative diseaseR01NS082265 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2013 to 2024
$4.7M
CSF, MRI, and PET biomarkers of neuroinflammation in Alzheimer's diseaseR01AG054046 · NIA · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI HU, WILLIAM TZU-LUNG · 2016 to 2020
$3.9M
Biomarkers of cognitive decline in Parkinson's DiseaseR01NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2019 to 2023
$3.6M
Transfer RF1 AG054991 Beyond Haploinsuffiency- Gain of Function in Prograulin MutationsRF1AG054991 · NIA · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI HU, WILLIAM TZU-LUNG · 2019 to 2019
$3.4M
Understanding biomarkers of cognitive decline in Lewy body diseasesR37NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN · 2024 to 2026
$2.2M
NIA NIH HHS P01 AG084497NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG054046NIA NIH HHS RF1 AG054991NINDS NIH HHS R01 NS082265NINDS NIH HHS R01 NS115139NINDS NIH HHS R37 NS115139
6 · The paper itself

Abstract

Autosomal dominant Alzheimer's disease (ADAD) offers a unique opportunity to study pathophysiological changes in a relatively young population with few comorbidities. A comprehensive investigation of proteome changes occurring in ADAD could provide valuable insights into AD-related biological mechanisms and uncover novel biomarkers and therapeutic targets. Furthermore, ADAD might serve as a model for sporadic AD, but in-depth proteome comparisons are lacking. We aimed to identify dysregulated CSF proteins in ADAD and determine the degree of overlap with sporadic AD. We measured 1472 proteins in CSF of PSEN1 or APP mutation carriers (n = 22) and age- and sex-matched controls (n = 20) from the Amsterdam Dementia Cohort using proximity extension-based immunoassays (PEA). We compared protein abundance between groups with two-sided t-tests and identified enriched biological pathways. Using the same protein panels in paired plasma samples, we investigated correlations between CSF proteins and their plasma counterparts. Finally, we compared our results with recently published PEA data from an international cohort of sporadic AD (n = 230) and non-AD dementias (n = 301). All statistical analyses were false discovery rate-corrected. We detected 66 differentially abundant CSF proteins (65 increased, 1 decreased) in ADAD compared to controls (q < 0.05). The most strongly upregulated proteins (fold change >1.8) were related to immunity (CHIT1, ITGB2, SMOC2), cytoskeletal structure (MAPT, NEFL) and tissue remodelling (TMSB10, MMP-10). Significant CSF-plasma correlations were found for the upregulated proteins SMOC2 and LILR1B. Of the 66 differentially expressed proteins, 36 had been measured previously in the sporadic dementias cohort, 34 of which (94%) were also significantly upregulated in sporadic AD, with a strong correlation between the fold changes of these proteins in both cohorts (rs = 0.730, P < 0.001). Twenty-nine of the 36 proteins (81%) were also upregulated among non-AD patients with suspected AD co-pathology. This CSF proteomics study demonstrates substantial biochemical similarities between ADAD and sporadic AD, suggesting involvement of the same biological processes. Besides known AD-related proteins, we identified several relatively novel proteins, such as TMSB10, MMP-10 and SMOC2, which have potential as novel biomarkers. With shared pathophysiological CSF changes, ADAD study findings might be translatable to sporadic AD, which could greatly expedite therapy development.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersHumansMatrix Metalloproteinase 10ProteomeProteomicsAmyloid beta-PeptidesBiomarkersMatrix Metalloproteinase 10Proteomedementiafamilialgeneticolinkproteome

Identifiers

PMID37348871
PMCPMC10629764
OpenAlexW4381716916

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.