Evidence map›Paper›PMID 28122516›Full record

ArticleBMC neuroscience2017

TDP-43 protein variants as biomarkers in amyotrophic lateral sclerosis.

Stephanie M Williams, Galam Khan, Brent T Harris, John Ravits, Michael R Sierks

Open access · goldAbstract read
In one paragraph

Article in BMC neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
    Review
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  9. TDP-43 proteinopathies: a new wave of neurodegenerative diseases.Journal of neurology, neurosurgery, and psychiatry · 2020
    Review
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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

5 authors at 4 institutions in 1 country.

Stephanie M WilliamsChemical Engineering, The School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, 85287-6106, USA.
Galam KhanDepartments of Pathology and Neurology, Georgetown University Medical Center, Washington, DC, 20057, USA.
Brent T HarrisDepartments of Pathology and Neurology, Georgetown University Medical Center, Washington, DC, 20057, USA.
John RavitsDepartment of Neurosciences, University of California, San Diego School of Medicine, La Jolla, CA, 92093-0624, USA.
Michael R SierksChemical Engineering, The School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, 85287-6106, USA. sierks@asu.edu.
Arizona State University · USGeorgetown University · USGeorgetown University Medical Center · USUniversity of California, San Diego · US

Funding

Developing Diagnostic Nanobodies Against Aggregated TDP-43 SpeciesR21AG042066 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SIERKS, MICHAEL R · 2012 to 2013
$428k
NIA NIH HHS R21 AG042066
6 · The paper itself

Abstract

backgroundTDP-43 aggregates accumulate in individuals affected by amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, representing potential diagnostic and therapeutic targets. Using an atomic force microscopy based biopanning protocol developed in our lab, we previously isolated 23 TDP-43 reactive antibody fragments with preference for human ALS brain tissue relative to frontotemporal dementia, a related neurodegeneration, and healthy samples from phage-displayed single chain antibody fragment (scFv) libraries. Here we further characterize the binding specificity of these different scFvs and identify which ones have promise for detecting ALS biomarkers in human brain tissue and plasma samples.

resultsWe developed a sensitive capture ELISA for detection of different disease related TDP-43 variants using the scFvs identified from the ALS biopanning. We show that a wide variety of disease selective TDP-43 variants are present in ALS as the scFvs show different reactivity profiles amongst the ALS cases. When assaying individual human brain tissue cases, three scFvs (ALS-TDP6, ALS-TDP10 and ALS-TDP14) reacted with all the ALS cases and 12 others reacted with the majority of the ALS cases, and none of the scFvs reacted with any control samples. When assaying individual human plasma samples, 9 different scFvs reacted with all the sporadic ALS samples and again none of them reacted with any control samples. These 9 different scFvs had different patterns of reactivity with plasma samples obtained from chromosome 9 open reading frame 72 (c9orf72) cases indicating that these familial ALS genetic variants may display different TDP-43 pathology than sporadic ALS cases.

conclusionsThese results indicated that a range of disease specific TDP-43 variants are generated in ALS patients with different variants being generated in sporadic and familial cases. We show that a small panel of scFvs recognizing different TDP-43 variants can generate a neuropathological and plasma biomarker profile with potential to distinguish different TDP-43 pathologies.

Indexed as

AdultAgedAged, 80 and overAmyotrophic Lateral SclerosisBiomarkersC9orf72 ProteinDNA-Binding ProteinsEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedProteinsSingle-Chain AntibodiesBiomarkersC9orf72 ProteinC9orf72 protein, humanDNA-Binding ProteinsProteinsSingle-Chain AntibodiesTARDBP protein, humanAmyotrophic lateral sclerosisBiomarkerBrain tissuePlasmascFvTDP-43 variants

Identifiers

PMID28122516
PMCPMC5264476
OpenAlexW2580004281

What Socratic 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 Socratic graph.