Evidence mapPaperPMID 26950848Full record

ArticlePloS one2016

Analysis of the Cerebrospinal Fluid Proteome in Alzheimer's Disease.

Payam Emami Khoonsari, Anna Häggmark, Maria Lönnberg, Maria Mikus, Lena Kilander, Lars Lannfelt, Jonas Bergquist, Martin Ingelsson, Peter Nilsson, Kim Kultima and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

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  12. Observational
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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

11 authors at 2 institutions in 1 country.

Payam Emami KhoonsariDepartment of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala, Sweden.
Anna HäggmarkAffinity Proteomics, Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Maria LönnbergAnalytical Chemistry, Department of Chemistry-BMC, Uppsala University, Uppsala, Sweden.
Maria MikusAffinity Proteomics, Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Lena KilanderDepartment of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden.
Lars LannfeltDepartment of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden.
Jonas BergquistAnalytical Chemistry, Department of Chemistry-BMC, Uppsala University, Uppsala, Sweden.
Martin IngelssonDepartment of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden.
Peter NilssonAffinity Proteomics, Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Kim KultimaDepartment of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala, Sweden.
Ganna ShevchenkoAnalytical Chemistry, Department of Chemistry-BMC, Uppsala University, Uppsala, Sweden.
Uppsala University · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is a neurodegenerative disorder accounting for more than 50% of cases of dementia. Diagnosis of Alzheimer's disease relies on cognitive tests and analysis of amyloid beta, protein tau, and hyperphosphorylated tau in cerebrospinal fluid. Although these markers provide relatively high sensitivity and specificity for early disease detection, they are not suitable for monitor of disease progression. In the present study, we used label-free shotgun mass spectrometry to analyse the cerebrospinal fluid proteome of Alzheimer's disease patients and non-demented controls to identify potential biomarkers for Alzheimer's disease. We processed the data using five programs (DecyderMS, Maxquant, OpenMS, PEAKS, and Sieve) and compared their results by means of reproducibility and peptide identification, including three different normalization methods. After depletion of high abundant proteins we found that Alzheimer's disease patients had lower fraction of low-abundance proteins in cerebrospinal fluid compared to healthy controls (p<0.05). Consequently, global normalization was found to be less accurate compared to using spiked-in chicken ovalbumin for normalization. In addition, we determined that Sieve and OpenMS resulted in the highest reproducibility and PEAKS was the programs with the highest identification performance. Finally, we successfully verified significantly lower levels (p<0.05) of eight proteins (A2GL, APOM, C1QB, C1QC, C1S, FBLN3, PTPRZ, and SEZ6) in Alzheimer's disease compared to controls using an antibody-based detection method. These proteins are involved in different biological roles spanning from cell adhesion and migration, to regulation of the synapse and the immune system.

Indexed as

ProteomicsAgedAged, 80 and overAlzheimer DiseaseBiomarkersCase-Control StudiesHumansMalePeptide FragmentsReproducibility of ResultsSoftwareBiomarkersPeptide Fragments

Identifiers

PMID26950848
PMCPMC4780771
OpenAlexW2296416881

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.