Evidence map›Paper›PMID 29941342›Full record

ArticleEBioMedicine2018

Initial Identification of a Blood-Based Chromosome Conformation Signature for Aiding in the Diagnosis of Amyotrophic Lateral Sclerosis.

Matthew Salter, Emily Corfield, Aroul Ramadass, Francis Grand, Jayne Green, Jurjen Westra, Chun Ren Lim, Lucy Farrimond, Emily Feneberg, Jakub Scaber and 8 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Matthew SalterOxford BioDynamics, Oxford, UK.
Emily CorfieldOxford BioDynamics, Oxford, UK.
Aroul RamadassOxford BioDynamics, Oxford, UK.
Francis GrandOxford BioDynamics, Oxford, UK.
Jayne GreenOxford BioDynamics, Oxford, UK.
Jurjen WestraOxford BioDynamics, Oxford, UK.
Chun Ren LimOxford BioDynamics, Oxford, UK.
Lucy FarrimondNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Emily FenebergNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Jakub ScaberNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Alexander ThompsonNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Lynn OssherNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Martin TurnerNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Kevin TalbotNuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Merit CudkowiczNeurology Clinical Research Institute, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
James BerryNeurology Clinical Research Institute, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Ewan HunterOxford BioDynamics, Oxford, UK.
Alexandre AkoulitchevOxford BioDynamics, Oxford, UK. Electronic address: alexandre.akoulitchev@oxfordbiodynamics.com.
John Radcliffe Hospital · GBHarvard University · USDynamic Research (United States) · US

Funding

Medical Research Council MR/K01014X/1Medical Research Council MR/L002167/1Motor Neurone Disease Association SCABER/JULY13/945-795Motor Neurone Disease Association TURNER/JAN13/944-795
6 · The paper itself

Abstract

backgroundThe identification of blood-based biomarkers specific to the diagnosis of amyotrophic lateral sclerosis (ALS) is an active field of academic and clinical research. While inheritance studies have advanced the field, a majority of patients do not have a known genetic link to the disease, making direct sequence-based genetic testing for ALS difficult. The ability to detect biofluid-based epigenetic changes in ALS would expand the relevance of using genomic information for disease diagnosis.

methodsAssessing differences in chromosomal conformations (i.e. how they are positioned in 3-dimensions) represents one approach for assessing epigenetic changes. In this study, we used an industrial platform, EpiSwitch™, to compare the genomic architecture of healthy and diseased patient samples (blood and tissue) to discover a chromosomal conformation signature (CCS) with diagnostic potential in ALS. A three-step biomarker selection process yielded a distinct CCS for ALS, comprised of conformation changes in eight genomic loci and detectable in blood.

findingsWe applied the ALS CCS to determine a diagnosis for 74 unblinded patient samples and subsequently conducted a blinded diagnostic study of 16 samples. Sensitivity and specificity for ALS detection in the 74 unblinded patient samples were 83∙33% (CI 51∙59 to 97∙91%) and 76∙92% (46∙19 to 94∙96%), respectively. In the blinded cohort, sensitivity reached 87∙50% (CI 47∙35 to 99∙68%) and specificity was 75∙0% (34∙91 to 96∙81%). INTERPRETATIONS: The sensitivity and specificity values achieved using the ALS CCS identified and validated in this study provide an indication that the detection of chromosome conformation signatures is a promising approach to disease diagnosis and can potentially augment current strategies for diagnosing ALS. FUND: This research was funded by Oxford BioDynamics and Innovate UK. Work in the Oxford MND Care and Research Centre is supported by grants from the Motor Neurone Disease Association and the Medical Research Council. Additional support was provided by the Northeast ALS Consortium (NEALS).

Indexed as

AdultAgedAmyotrophic Lateral SclerosisBiomarkersChromosomes, HumanCohort StudiesEpigenesis, GeneticFemaleHigh-Throughput Screening AssaysHumansMaleMiddle AgedMolecular ConformationSensitivity and SpecificityBiomarkers

Identifiers

PMID29941342
PMCPMC6085506
OpenAlexW2810936220

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.