Evidence map›Paper›PMID 22846148›Full record

ArticleClinical proteomics2012

Development of protein biomarkers in cerebrospinal fluid for secondary progressive multiple sclerosis using selected reaction monitoring mass spectrometry (SRM-MS).

Yan Jia, Tianxia Wu, Christine A Jelinek, Bibiana Bielekova, Linda Chang, Scott Newsome, Sharmilee Gnanapavan, Gavin Giovannoni, Dawn Chen, Peter A Calabresi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  5. Mass Cytometry of CSF Identifies an MS-Associated B-cell Population.Neurology(R) neuroimmunology & neuroinflammation · 2021
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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

12 authors at 7 institutions in 2 countries.

Yan JiaDepartment of Pharmacology and Molecular Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA. rcotter@jhmi.edu.
Tianxia Wu
Christine A Jelinek
Bibiana Bielekova
Linda Chang
Scott Newsome
Sharmilee Gnanapavan
Gavin Giovannoni
Dawn Chen
Peter A Calabresi
Avindra Nath
Robert J Cotter
Johns Hopkins University · USJohns Hopkins Medicine · USNational Institute of Neurological Disorders and Stroke · USNational Institutes of Health · USQueen Mary University of London · GBUniversity College London · GBUniversity of Hawaiʻi at Mānoa · US

Funding

Neuropathogenesis of Retroviral InfectionsZIANS003130 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI NATH, AVINDRA · 2011 to 2025
$73.7M
From therapeutic mechanisms to unraveling the pathophysiology of MSZIANS003056 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI BIELEKOVA, BIBIANA · 2009 to 2018
$14.5M
Comprehensive multimodal analysis of patients with neuroimmunological diseasesZIANS003055 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI BIELEKOVA, BIBIANA · 2009 to 2018
$9.0M
6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system (CNS). It involves damage to the myelin sheath surrounding axons and to the axons themselves. MS most often presents with a series of relapses and remissions but then evolves over a variable period of time into a slowly progressive form of neurological dysfunction termed secondary progressive MS (SPMS). The reasons for this change in clinical presentation are unclear. The absence of a diagnostic marker means that there is a lag time of several years before the diagnosis of SPMS can be established. At the same time, understanding the mechanisms that underlie SPMS is critical to the development of rational therapies for this untreatable stage of the disease.

resultsUsing high performance liquid chromatography-coupled mass spectrometry (HPLC); we have established a highly specific and sensitive selected reaction monitoring (SRM) assay. Our multiplexed SRM assay has facilitated the simultaneous detection of surrogate peptides originating from 26 proteins present in cerebrospinal fluid (CSF). Protein levels in CSF were generally ~200-fold lower than that in human sera. A limit of detection (LOD) was determined to be as low as one femtomol. We processed and analysed CSF samples from a total of 22 patients with SPMS, 7 patients with SPMS treated with lamotrigine, 12 patients with non-inflammatory neurological disorders (NIND) and 10 healthy controls (HC) for the levels of these 26 selected potential protein biomarkers. Our SRM data found one protein showing significant difference between SPMS and HC, three proteins differing between SPMS and NIND, two proteins between NIND and HC, and 11 protein biomarkers showing significant difference between a lamotrigine-treated and untreated SPMS group. Principal component analysis (PCA) revealed that these 26 proteins were correlated, and could be represented by four principal components. Overall, we established an efficient platform to develop and verify protein biomarkers in CSF, which can be easily adapted to other proteins of interest related to neurodegenerative diseases.

conclusionsA highly specific and sensitive multiplex SRM-MS assay was established for development and verification of CSF protein biomarkers in SPMS. Five proteins were found to be expressed significantly differently between the three cohorts, SPMS, NIND and HC and 11 proteins associated with lamotrigine treatment, which we expect will further our current understanding of SPMS disease pathology and/or therapeutic intervention.

Identifiers

PMID22846148
PMCPMC3466133
OpenAlexW2125016017

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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 OpenQuestion graph.