Evidence map›Paper›PMID 19005024›Full record

ArticleClinical and vaccine immunology : CVI2009

Peptide-based antibody detection for tuberculosis diagnosis.

Guomiao Shen, Digambar Behera, Manpreet Bhalla, Arthur Nadas, Suman Laal

Open access · diamondAbstract readValidation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Evaluation of immunodominant peptides of in vivo expressed mycobacterial antigens in an ELISA-based diagnostic assay for pulmonary tuberculosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
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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

5 authors at 2 institutions in 2 countries.

Guomiao ShenDepartment of Pathology, New York University School of Medicine, New York, NY 10010, USA.
Digambar Behera
Manpreet Bhalla
Arthur Nadas
Suman Laal
VA NY Harbor Healthcare System · USNew York University · US

Funding

Antibody Based Diagnosis for TBR01AI056257 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LAAL, SUMAN · 2003 to 2007
$2.0M
FIC NIH HHS TW001409NIAID NIH HHS AI056257NIAID NIH HHS R01 AI056257
6 · The paper itself

Abstract

Tuberculosis (TB) is a major cause of morbidity and mortality, especially in developing countries. Despite significant limitations, microscopy remains the cornerstone of the global TB control strategy. As the TB epidemic escalates, new diagnostic methods that are accurate and also economical and simple to manufacture and deploy are urgently needed. Although several promising antigens have been identified and evaluated in recent years, the reproducible production of high-quality recombinant mycobacterial proteins with minimal batch-to-batch variation is difficult, laborious, and expensive. To determine the feasibility of devising a synthetic peptide-based diagnostic test for TB, we have delineated the immunodominant epitopes of three candidate antigens, Ag85B, BfrB, and TrxC, that were previously identified to be immunogenic in TB patients. The results demonstrate that combinations of carefully selected synthetic peptides derived from highly immunogenic proteins can be the basis for devising an immunodiagnostic test for TB.

Indexed as

PeptidesAdolescentAdultAmino Acid SequenceAntibodies, BacterialBacterial ProteinsEpitope MappingEpitopesFemaleHumansMaleMiddle AgedMolecular Sequence DataSensitivity and SpecificityTuberculosisAntibodies, BacterialBacterial ProteinsEpitopesPeptides

Identifiers

PMID19005024
PMCPMC2620670
OpenAlexW2108136889

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.