Evidence map›Paper›PMID 22935999›Full record

ArticleMetabolic brain disease2012

Amyloid-β metabolism in Niemann-Pick C disease models and patients.

Niklas Mattsson, Maria Olsson, Mikael K Gustavsson, Marko Kosicek, Martina Malnar, Jan-Eric Månsson, Maria Blomqvist, Johan Gobom, Ulf Andreasson, Gunnar Brinkmalm and 6 more

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Neuropsychological assessment in Niemann-Pick disease type C: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
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  6. Modeling Brain Pathology of Niemann-Pick Disease Type C Using Patient-Derived Neurons.Movement disorders : official journal of the Movement Disorder Society · 2021
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  18. The domestic cat as a natural animal model of Alzheimer's disease.Acta neuropathologica communications · 2015
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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

16 authors at 3 institutions in 3 countries.

Niklas MattssonClinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Gothenburg, Sweden. niklas.mattsson@neuro.gu.se
Maria Olsson
Mikael K Gustavsson
Marko Kosicek
Martina Malnar
Jan-Eric Månsson
Maria Blomqvist
Johan Gobom
Ulf Andreasson
Gunnar Brinkmalm
Charles Vite
Silva Hecimovic
Caroline Hastings
Kaj Blennow
Henrik Zetterberg
Erik Portelius
University of Gothenburg · SERudjer Boskovic Institute · HRUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niemann-Pick type C (NPC) is a progressive neurodegenerative lysosomal disease with altered cellular lipid trafficking. The metabolism of amyloid-β (Aβ) - previously mainly studied in Alzheimer's disease - has been suggested to be altered in NPC. Here we aimed to perform a detailed characterization of metabolic products from the amyloid precursor protein (APP) in NPC models and patients. We used multiple analytical technologies, including immunoassays and immunoprecipitation followed by mass spectrometry (IP-MS) to characterize Aβ peptides and soluble APP fragments (sAPP-α/β) in cell media from pharmacologically (U18666A) and genetically (NPC1 ( -/- ) ) induced NPC cell models, and cerebrospinal fluid (CSF) from NPC cats and human patients. The pattern of Aβ peptides and sAPP-α/β fragments in cell media was differently affected by NPC-phenotype induced by U18666A treatment and by NPC1 ( -/- ) genotype. U18666A treatment increased the secreted media levels of sAPP-α, AβX-40 and AβX-42 and reduced the levels of sAPP-β, Aβ1-40 and Aβ1-42, while IP-MS showed increased relative levels of Aβ5-38 and Aβ5-40 in response to treatment. NPC1 ( -/- ) cells had reduced media levels of sAPP-α and Aβ1-16, and increased levels of sAPP-β. NPC cats had altered CSF distribution of Aβ peptides compared with normal cats. Cats treated with the potential disease-modifying compound 2-hydroxypropyl-β-cyclodextrin had increased relative levels of short Aβ peptides including Aβ1-16 compared with untreated cats. NPC patients receiving β-cyclodextrin had reduced levels over time of CSF Aβ1-42, AβX-38, AβX-40, AβX-42 and sAPP-β, as well as reduced levels of the axonal damage markers tau and phosphorylated tau. We conclude that NPC models have altered Aβ metabolism, but with differences across experimental systems, suggesting that NPC1-loss of function, such as in NPC1 ( -/- ) cells, or NPC1-dysfunction, seen in NPC patients and cats as well as in U18666A-treated cells, may cause subtle but different effects on APP degradation pathways. The preliminary findings from NPC cats suggest that treatment with cyclodextrin may have an impact on APP processing pathways. CSF Aβ, sAPP and tau biomarkers were dynamically altered over time in human NPC patients.

Indexed as

2-Hydroxypropyl-beta-cyclodextrinAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAnimalsbeta-CyclodextrinsCarrier ProteinsCatsCell Line, TumorChildChild, PreschoolChromatography, High Pressure LiquidFemaleHumansImmunoprecipitationInfantIntracellular Signaling Peptides and Proteins2-Hydroxypropyl-beta-cyclodextrinAmyloid beta-PeptidesAmyloid beta-Protein Precursorbeta-CyclodextrinsCarrier ProteinsIntracellular Signaling Peptides and ProteinsMembrane GlycoproteinsNiemann-Pick C1 ProteinNPC1 protein, humantau Proteins

Identifiers

PMID22935999
OpenAlexW2070337702

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.