Evidence map›Paper›PMID 29273777›Full record

ArticleScientific reports2017

Entropy is a Simple Measure of the Antibody Profile and is an Indicator of Health Status: A Proof of Concept.

Lu Wang, Kurt Whittemore, Stephen Albert Johnston, Phillip Stafford

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. High intraspecies allelic diversity inbioRxiv : the preprint server for biology · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Lu WangCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, United States.
Kurt WhittemoreCentro Nacional de Investigaciones Oncologicas, Madrid, 28029, Spain.
Stephen Albert JohnstonCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, United States.
Phillip StaffordCenter for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, United States. Phillip.Stafford@asu.edu.ORCID http://orcid.org/0000-0001-7989-9036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously shown that the diversity of antibodies in an individual can be displayed on chips on which 130,000 peptides chosen from random sequence space have been synthesized. This immunosignature technology is unbiased in displaying antibody diversity relative to natural sequence space, and has been shown to have diagnostic and prognostic potential for a wide variety of diseases and vaccines. Here we show that a global measure such as Shannon's entropy can be calculated for each immunosignature. The immune entropy was measured across a diverse set of 800 people and in 5 individuals over 3 months. The immune entropy is affected by some population characteristics and varies widely across individuals. We find that people with infections or breast cancer, generally have higher entropy values than non-diseased individuals. We propose that the immune entropy as measured from immunosignatures may be a simple method to monitor health in individuals and populations.

Indexed as

Health StatusAntibodiesEntropyFemaleHumansMaleNeoplasmsPrognosisProtein Array AnalysisAntibodies

Identifiers

PMID29273777
PMCPMC5741721

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.