Show simple item record

dc.contributor.authorGuldbrandsen, Astrid
dc.contributor.authorLereim, Ragnhild Reehorst
dc.contributor.authorJacobsen, Mari
dc.contributor.authorGarberg, Hilde Kristin
dc.contributor.authorKroksveen, Ann Cathrine
dc.contributor.authorBarsnes, Harald
dc.contributor.authorBerven, Frode
dc.date.accessioned2021-05-19T08:40:02Z
dc.date.available2021-05-19T08:40:02Z
dc.date.created2020-10-08T19:44:31Z
dc.date.issued2020
dc.PublishedClinical Proteomics. 2020, 17:33 1-21.
dc.identifier.issn1542-6416
dc.identifier.urihttps://hdl.handle.net/11250/2755595
dc.description.abstractBackground: Verification 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. Methods: Biomarker 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. Results: Assays 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. Conclusions: We 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.en_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDevelopment of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosisen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
dc.source.articlenumber33en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doi10.1186/s12014-020-09296-5
dc.identifier.cristin1838314
dc.source.journalClinical Proteomicsen_US
dc.source.4017:33
dc.relation.projectNorges forskningsråd: 251235en_US
dc.relation.projectBergens forskningsstiftelse: BFS2016REK02en_US
dc.identifier.citationClinical Proteomics. 2020, 17:33en_US
dc.source.volume17en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal