Evidence map›Paper›PMID 28302159›Full record

ArticleActa neuropathologica communications2017

A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis.

Johnathan Cooper-Knock, Claire Green, Gabriel Altschuler, Wenbin Wei, Joanna J Bury, Paul R Heath, Matthew Wyles, Catherine Gelsthorpe, J Robin Highley, Alejandro Lorente-Pons and 7 more

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.6field-weighted citation impact, top 5% 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, 83 citations in OpenAlex.

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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

17 authors at 5 institutions in 2 countries.

Johnathan Cooper-KnockSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK. j.cooper-knock@sheffield.ac.uk.ORCID 0000-0002-0873-8689
Claire GreenSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Gabriel AltschulerSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Wenbin WeiSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Joanna J BurySheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Paul R HeathSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Matthew WylesSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Catherine GelsthorpeSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
J Robin HighleySheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Alejandro Lorente-PonsSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Tim BeckDepartment of Genetics, University of Leicester, Leicester, UK.
Kathryn DoyleBiogen Inc, 115 Broadway, Cambridge, USA.
Karel OteroBiogen Inc, 115 Broadway, Cambridge, USA.
Bryan TraynorNeuromuscular Diseases Research Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, USA.
Janine KirbySheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Pamela J ShawSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK.
Winston HideSheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield, UK. winhide@sheffield.ac.uk.
University of Sheffield · GBBiogen (United States) · USHarvard University · USNational Institutes of Health · USUniversity of Leicester · GB

Funding

Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Intramural NIH HHS Z01 AG000949Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that lacks a predictive and broadly applicable biomarker. Continued focus on mutation-specific upstream mechanisms has yet to predict disease progression in the clinic. Utilising cellular pathology common to the majority of ALS patients, we implemented an objective transcriptome-driven approach to develop noninvasive prognostic biomarkers for disease progression. Genes expressed in laser captured motor neurons in direct correlation (Spearman rank correlation, p < 0.01) with counts of neuropathology were developed into co-expression network modules. Screening modules using three gene sets representing rate of disease progression and upstream genetic association with ALS led to the prioritisation of a single module enriched for immune response to motor neuron degeneration. Genes in the network module are important for microglial activation and predict disease progression in genetically heterogeneous ALS cohorts: Expression of three genes in peripheral lymphocytes - LILRA2, ITGB2 and CEBPD - differentiate patients with rapid and slowly progressive disease, suggesting promise as a blood-derived biomarker. TREM2 is a member of the network module and the level of soluble TREM2 protein in cerebrospinal fluid is shown to predict survival when measured in late stage disease (Spearman rank correlation, p = 0.01). Our data-driven systems approach has, for the first time, directly linked microglia to the development of motor neuron pathology. LILRA2, ITGB2 and CEBPD represent peripherally accessible candidate biomarkers and TREM2 provides a broadly applicable therapeutic target for ALS.

Indexed as

AdultAgedAged, 80 and overAmyotrophic Lateral SclerosisBiomarkersBrainCell LineCohort StudiesDisease ProgressionFemaleGenome-Wide Association StudyHumansLymphocytesMaleMembrane GlycoproteinsMicrogliaBiomarkersMembrane GlycoproteinsReceptors, ImmunologicTREM2 protein, humanAmyotrophic lateral sclerosisBiomarkersMicrogliaNeuropathologyTransciptomeTREM2

Identifiers

PMID28302159
PMCPMC5353945
OpenAlexW2596238655

What OpenQuestion 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 OpenQuestion graph.