Evidence map›Paper›PMID 32963504›Full record

ArticleClinical proteomics2020

Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis.

Astrid Guldbrandsen, Ragnhild Reehorst Lereim, Mari Jacobsen, Hilde Garberg, Ann Cathrine Kroksveen, Harald Barsnes, Frode S Berven

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Sez6L2 autoimmunity induces cerebellar ataxia in mice.Journal of neuroinflammation · 2025
    Article
  2. CD138 as a Specific CSF Biomarker of Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2024
    Article
  3. Article
  4. Article
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

7 authors at 2 institutions in 1 country.

Astrid GuldbrandsenProteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.ORCID 0000-0001-6712-8664
Ragnhild Reehorst LereimProteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.
Mari JacobsenProteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.
Hilde GarbergBiobank Haukeland, Haukeland University Hospital, Bergen, Norway.
Ann Cathrine KroksveenBiobank Haukeland, Haukeland University Hospital, Bergen, Norway.
Harald BarsnesProteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.
Frode S BervenProteomics Unit, PROBE, Department of Biomedicine, University of Bergen, Bergen, Norway.
University of Bergen · NOHaukeland University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVerification of cerebrospinal fluid (CSF) biomarkers for multiple sclerosis and other neurological diseases is a major challenge due to a large number of candidates, limited sample material availability, disease and biological heterogeneity, and the lack of standardized assays. Furthermore, verification studies are often based on a low number of proteins from a single discovery experiment in medium-sized cohorts, where antibodies and surrogate peptides may differ, thus only providing an indication of proteins affected by the disease and not revealing the bigger picture or concluding on the validity of the markers. We here present a standard approach for locating promising biomarker candidates based on existing knowledge, resulting in high-quality assays covering the main biological processes affected by multiple sclerosis for comparable measurements over time.

methodsBiomarker candidates were located in CSF-PR (proteomics.uib.no/csf-pr), and further filtered based on estimated concentration in CSF and biological function. Peptide surrogates for internal standards were selected according to relevant criteria, parallel reaction monitoring (PRM) assays created, and extensive assay quality testing performed, i.e. intra- and inter-day variation, trypsin digestion status over time, and whether the peptides were able to separate multiple sclerosis patients and controls.

resultsAssays were developed for 25 proteins, represented by 72 peptides selected according to relevant guidelines and available literature and tested for assay peptide suitability. Stability testing revealed 64 peptides with low intra- and inter-day variations, with 44 also being stably digested after 16 h of trypsin digestion, and 37 furthermore showing a significant difference between multiple sclerosis and controls, thereby confirming literature findings. Calibration curves and the linear area of measurement have, so far, been determined for 17 of these peptides.

conclusionsWe present 37 high-quality PRM assays across 21 CSF-proteins found to be affected by multiple sclerosis, along with a recommended workflow for future development of new assays. The assays can directly be used by others, thus enabling better comparison between studies. Finally, the assays can robustly and stably monitor biological processes in multiple sclerosis patients over time, thus potentially aiding in diagnosis and prognosis, and ultimately in treatment decisions.

Indexed as

Assay developmentBiomarkerCerebrospinal fluidMultiple sclerosisNeurological diseasesParallel reaction monitoringProteomics

Identifiers

PMID32963504
PMCPMC7499868
OpenAlexW3087570460

What OpenQuestion holds

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LicenceCC BY
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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.