Evidence map›Paper›PMID 30211310›Full record

ArticleNPJ Parkinson's disease2018

Antibody biomarker for de novo Parkinson disease: attempted validation.

Na Feng, Scott Simanski, Kazi Islam, Linda S Hynan, Thomas Kodadek, Dwight C German

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. New Insights into Immune-Mediated Mechanisms in Parkinson's Disease.International journal of molecular sciences · 2020
    Review
  5. Review
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

6 authors at 3 institutions in 1 country.

Na Feng1Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA.
Scott Simanski2Department of Chemistry, The Scripps Research Institute, Jupiter, FL USA.ORCID 0000-0002-7594-5952
Kazi Islam3Peptide & Peptoid Synthesis Core Facilities, University of Pittsburgh, Pittsburgh, PA USA.
Linda S Hynan1Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA.ORCID 0000-0002-4642-7769
Thomas Kodadek2Department of Chemistry, The Scripps Research Institute, Jupiter, FL USA.
Dwight C German1Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA.
Southwestern Medical Center · USScripps Research Institute · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson disease (PD) is a progressive neurodegenerative disease with motor symptoms that result from degeneration of midbrain dopaminergic neurons. Biomarker research seeks to identify the disease during the pre-symptomatic phase, which is a time when therapeutic intervention will be most helpful. Previously, we screened a combinatorial peptoid library to search for antibodies that are present at much higher levels in the serum of PD patients than in control subjects. One such compound, called the PD2 peptoid, was 84% accurate for the identification of de novo PD when employed as the capture agent in an enzyme-linked immunosorbent assay. This peptoid recognized an IgG3 antibody, and IgG3 levels were also found to be significantly higher in PD vs. control serum. In that study we used samples from the NINDS Parkinson's Disease Biomarker Program. The current study sought to validate that finding using serum samples from de novo and control subjects in the Parkinson's Progression Markers Initiative study. We found no difference in levels of antibodies captured by the PD2 peptoid in the de novo PD vs. control subjects, and no difference in IgG3 serum levels in the two groups. The failure to replicate our previous study appears to be due to the lack of difference in serum IgG3 levels between the PD and control subjects in the current study.

Identifiers

PMID30211310
PMCPMC6125321
OpenAlexW2889534860

What OpenQuestion holds

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LicenceCC BY
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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.