Evidence map›Paper›PMID 16966411›Full record

ArticleInfection and immunity2006

Use of protein microarrays to define the humoral immune response in leprosy patients and identification of disease-state-specific antigenic profiles.

Nathan A Groathouse, Amol Amin, Maria Angela M Marques, John S Spencer, Robert Gelber, Dennis L Knudson, John T Belisle, Patrick J Brennan, Richard A Slayden

Open access · greenAbstract readComparative Study
In one paragraph

Article in Infection and immunity, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Plasmodium immunomics.International journal for parasitology · 2011
    Review
  6. Article
  7. Article
  8. Microarrays in infection and immunity.Current opinion in chemical biology · 2007
    Review
  9. [Protein arrays and perspectives of medical applications].Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research
    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

9 authors at 1 institution in 1 country.

Nathan A GroathouseDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80523-1682, USA.
Amol Amin
Maria Angela M Marques
John S Spencer
Robert Gelber
Dennis L Knudson
John T Belisle
Patrick J Brennan
Richard A Slayden
Colorado State University · US

Funding

Leprosy Bacillus: From Genotype to Phenotype to ToolsR01AI047197 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI BRENNAN, PATRICK JOSEPH · 2001 to 2009
$3.2M
TUBERCULOSIS RESEARCH MATERIALS AND VACINE TESTINGN01AI075320 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · 1997 to 2004
$980k
Regulation of Cellular division in M. tuberculosisR01AI055298 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI SLAYDEN, RICHARD A · 2003 to 2006
$915k
Leprosy Research Support-Post Genome -26625469N01AI025469 · NIAID · Colorado State University · 2004 to 2004
–
NIAID NIH HHS N01 AI025469NIAID NIH HHS N01-AI25469NIAID NIH HHS N01-AI75320NIAID NIH HHS R01 AI047197NIAID NIH HHS R01 AI055298NIAID NIH HHS R01-AI055298NIAID NIH HHS R01-AI47197
6 · The paper itself

Abstract

Although the global prevalence of leprosy has decreased over the last few decades due to an effective multidrug regimen, large numbers of new cases are still being reported, raising questions as to the ability to identify patients likely to spread disease and the effects of chemotherapy on the overall incidence of leprosy. This can partially be attributed to the lack of diagnostic markers for different clinical states of the disease and the consequent implementation of differential, optimal drug therapeutic strategies. Accordingly, comparative bioinformatics and Mycobacterium leprae protein microarrays were applied to investigate whether leprosy patients with different clinical forms of the disease can be categorized based on differential humoral immune response patterns. Evaluation of sera from 20 clinically diagnosed leprosy patients using native protein and recombinant protein microarrays revealed unique disease-specific, humoral reactivity patterns. Statistical analysis of the serological patterns yielded distinct groups that correlated with phenolic glycolipid I reactivity and clinical diagnosis, thus demonstrating that leprosy patients, including those diagnosed with the paucibacillary, tuberculoid form of disease, can be classified based on humoral reactivity to a subset of M. leprae protein antigens produced in recombinant form.

Indexed as

Protein Array AnalysisAntibodies, BacterialAntigens, BacterialGlycolipidsHumansLeprosyLeprosy, LepromatousLeprosy, TuberculoidSerologic TestsAntibodies, BacterialAntigens, BacterialGlycolipidsphenolic glycolipid I, Mycobacterium leprae

Identifiers

PMID16966411
PMCPMC1695501
OpenAlexW2165114463

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.