Evidence map›Paper›PMID 15308778›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Functional immunomics: microarray analysis of IgG autoantibody repertoires predicts the future response of mice to induced diabetes.

Francisco J Quintana, Peter H Hagedorn, Gad Elizur, Yifat Merbl, Eytan Domany, Irun R Cohen

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
12.5field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 157 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Tolerogenic nanoparticles suppress central nervous system inflammation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Antibody repertoire profiling with mimotope arrays.Human vaccines & immunotherapeutics · 2017
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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 1 institution in 1 country.

Francisco J QuintanaDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel. irun.cohen@weizmann.ac.il
Peter H Hagedorn
Gad Elizur
Yifat Merbl
Eytan Domany
Irun R Cohen
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One's present repertoire of antibodies encodes the history of one's past immunological experience. Can the present autoantibody repertoire be consulted to predict resistance or susceptibility to the future development of an autoimmune disease? Here, we developed an antigen microarray chip and used bioinformatic analysis to study a model of type 1 diabetes developing in nonobese diabetic male mice in which the disease was accelerated and synchronized by exposing the mice to cyclophosphamide at 4 weeks of age. We obtained sera from 19 individual mice, treated the mice to induce cyclophosphamide-accelerated diabetes (CAD), and found, as expected, that 9 mice became severely diabetic, whereas 10 mice permanently resisted diabetes. We again obtained serum from each mouse after CAD induction. We then analyzed, by using rank-order and superparamagnetic clustering, the patterns of antibodies in individual mice to 266 different antigens spotted on the chip. A selected panel of 27 different antigens (10% of the array) revealed a pattern of IgG antibody reactivity in the pre-CAD sera that discriminated between the mice resistant or susceptible to CAD with 100% sensitivity and 82% specificity (P = 0.017). Surprisingly, the set of IgG antibodies that was informative before CAD induction did not separate the resistant and susceptible groups after the onset of CAD; new antigens became critical for post-CAD repertoire discrimination. Thus, at least for a model disease, present antibody repertoires can predict future disease, predictive and diagnostic repertoires can differ, and decisive information about immune system behavior can be mined by bioinformatic technology. Repertoires matter.

Indexed as

Immunologic TechniquesAnimalsAutoantibodiesAutoantigensComputational BiologyDiabetes Mellitus, Type 1Immunoglobulin GMaleMiceMice, Inbred NODProtein Array AnalysisT-LymphocytesAutoantibodiesAutoantigensImmunoglobulin G

Identifiers

PMID15308778
PMCPMC521990
OpenAlexW2155081037

What OpenQuestion holds

Textmetadata
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.