Evidence map›Paper›PMID 20719988›Full record

ArticleClinical and vaccine immunology : CVI2010

Identification of Mycobacterium tuberculosis antigens of high serodiagnostic value.

Gregory C Ireton, Rena Greenwald, Hong Liang, Javan Esfandiari, Konstantin P Lyashchenko, Steven G Reed

Open access · diamondAbstract readEvaluation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

40 citing papers in PubMed, 68 citations in OpenAlex.

  1. A proteome-wide atlas of humoral immunity toFrontiers in immunology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Antibodies as clinical tools for tuberculosis.Frontiers in immunology · 2023
    Review
  7. The role of antibodies in tuberculosis diagnosis, prophylaxis and therapy: a review from the ESGMYC study group.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  8. Diagnostic Potential of the Serological Response to Synthetic Peptides fromInternational journal of peptide research and therapeutics · 2022
    Article
  9. Review
  10. Article
  11. mBio · 2021
    Article
  12. Article
  13. Article
  14. Aptamers: An Emerging Tool for Diagnosis and Therapeutics in Tuberculosis.Frontiers in cellular and infection microbiology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Diagnostic Performance of Tuberculosis-Specific IgG Antibody Profiles in Patients with Presumptive Tuberculosis from Two Continents.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    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 2 institutions in 1 country.

Gregory C IretonInfectious Disease Research Institute, 1124 Columbia Street, Seattle, WA 98104, USA. gireton@idri.org
Rena Greenwald
Hong Liang
Javan Esfandiari
Konstantin P Lyashchenko
Steven G Reed
Infectious Disease Research Institute · USChembio (United States) · US

Funding

Development &Manufacture of an MDR Tuberculosis VaccineUC1AI067251 · NIAID · INFECTIOUS DISEASE RESEARCH INSTITUTE · PI REED, STEVEN G. · 2005 to 2005
$4.1M
HUMAN T CELLS ANTIGENS OF MYCOBACTERIUM TUBERCULOSISR01AI044373 · NIAID · INFECTIOUS DISEASE RESEARCH INSTITUTE · PI REED, STEVEN GREGORY · 1999 to 2009
$3.7M
Rapid DPP test for tuberculosisR44AI079884 · NIAID · CHEMBIO DIAGNOSTIC SYSTEMS, INC. · PI LYASHCHENKO, KONSTANTIN P · 2011 to 2013
$2.8M
Rapid detection of tuberculosis using DPP technologyR43AI079884 · NIAID · CHEMBIO DIAGNOSTIC SYSTEMS, INC. · PI LYASHCHENKO, KONSTANTIN P · 2008 to 2008
$296k
NIAID NIH HHS AI-044373NIAID NIH HHS AI-067251NIAID NIH HHS AI079884-01NIAID NIH HHS R01 AI044373NIAID NIH HHS R43 AI079884NIAID NIH HHS R44 AI079884NIAID NIH HHS UC1 AI067251
6 · The paper itself

Abstract

Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis, with several million new cases detected each year. Current methods of diagnosis are time-consuming and/or expensive or have a low level of accuracy. Therefore, new diagnostics are urgently needed to address the global tuberculosis burden and to improve control programs. Serological assays remain attractive for use in resource-limited settings because they are simple, rapid, and inexpensive and offer the possibility of detecting cases often missed by routine sputum smear microscopy. The aim of this study was to identify M. tuberculosis seroreactive antigens from a panel of 103 recombinant proteins selected as diagnostic candidates. Initial library screening by protein array analysis and enzyme-linked immunosorbent assay (ELISA) identified 42 antigens with serodiagnostic potential. Among these, 25 were novel proteins. The reactive antigens demonstrated various individual sensitivities, ranging from 12% to 78% (specificities, 76 to 100%). When the antigens were analyzed in combinations, up to 93% of antibody responders could be identified among the TB patients. Selected seroreactive proteins were used to design 3 new polyepitope fusion proteins. Characterization of these antigens by multiantigen print immunoassay (MAPIA) revealed that the vast majority of the TB patients (90%) produced antibody responses. The results confirmed that due to the remarkable variation in immune recognition patterns, an optimal multiantigen cocktail should be designed to cover the heterogeneity of antibody responses and thus achieve the highest possible test sensitivity.

Indexed as

Antigens, BacterialAntibodies, BacterialBacteriological TechniquesEnzyme-Linked Immunosorbent AssayHumansMycobacterium tuberculosisProtein Array AnalysisRecombinant ProteinsSensitivity and SpecificitySerologic TestsTuberculosisAntibodies, BacterialAntigens, BacterialMycobacterium tuberculosis antigensRecombinant Proteins

Identifiers

PMID20719988
PMCPMC2952993
OpenAlexW2170089850

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.