Evidence map›Paper›PMID 24447912›Full record

ArticleMolecular & cellular proteomics : MCP2014

Exploration of novel cellular and serological antigen biomarkers in the ORFeome of Mycobacterium tuberculosis.

Liguo Liu, Wei-jia Zhang, Jianhua Zheng, Hua Fu, Qi Chen, Zongde Zhang, Xinchun Chen, Boping Zhou, Lu Feng, Haiying Liu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The combination ofFrontiers in immunology · 2024
    Article
  5. Review
  6. Article
  7. Extraction and Separation of Mycobacterial Proteins.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Proteogenomic Analysis and Discovery of Immune Antigens inMolecular & cellular proteomics : MCP · 2017
    Article
  13. Antibodies and tuberculosis.Tuberculosis (Edinburgh, Scotland) · 2016
    Review
  14. Article
  15. Article
  16. Assessing and screening for T-cell epitopes from Mycobacterium tuberculosis RD2 proteins for the diagnosis of active tuberculosis.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

11 authors at 5 institutions in 2 countries.

Liguo LiuMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100176, China;
Wei-jia Zhang
Jianhua Zheng
Hua Fu
Qi Chen
Zongde Zhang
Xinchun Chen
Boping Zhou
Lu Feng
Haiying Liu
Qi Jin
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuangdong Medical College · CNMRC Laboratory of Molecular Biology · GBNankai University · CNShenzhen Third People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence demonstrates that antigen-specific cellular and humoral immunity plays an indispensable role in protection against Mycobacterium tuberculosis infection. Antigen is a key element in the development of a successful diagnostic method and vaccine. However, few antigens are available, and a systemic study on M. tuberculosis ORFeome-based antigen screening is still lacking. In the current study, a genome-wide examination was conducted on high-throughput M. tuberculosis encoding proteins and novel antigens were identified via a comprehensive investigation of serological and antigen-specific cellular responses. The serological immunoglobulin G level of each protein was detected in pooled sera from 200 pulmonary tuberculosis patients by means of semi-quantitative Western blot. Of the 1,250 detected proteins, 29 were present at a higher level relative to the commercialized 38-kDa protein. Furthermore, the top 12 of the 29 proteins had not been previously reported, and their antigenicity was validated in serum from each individual patient. Results confirmed that the 12 proteins displayed nearly identical immunoglobulin G antibody levels in patients with pulmonary and extrapulmonary tuberculosis. Antigen-specific cellular interferon-γ secretion was also evaluated using a cell-based ELISPOT assay. Thirty-four of the proteins were able to induce positive interferon-γ production by peripheral blood mononuclear cells from pulmonary tuberculosis patients as judged by positive (commercial ESAT-6 antigen) and negative controls. The top 4 candidates out of the 34 proteins displayed good accuracy ranging from 50% to 80% compared with the commercial ESAT-6 antigen. Subsequent epitope examination confirmed that a pool of peptides, including a 25aa peptide from Rv1198, demonstrated significant tuberculosis-specific cellular interferon-γ production. Overall, the current study draws significant attention to novel M. tuberculosis antigens, many of which have not been previously reported. This discovery provides a large amount of useful information for the diagnosis of tuberculosis and the development of vaccines to provide protection against tuberculosis.

Indexed as

Amino Acid SequenceAntigens, BacterialBacterial ProteinsBiomarkersBlotting, WesternCloning, MolecularEnzyme-Linked Immunospot AssayEpitopesHumansImmunoglobulin GInterferon-gammaLeukocytes, MononuclearMolecular Sequence DataMycobacterium tuberculosisOpen Reading FramesPeptidesAntigens, BacterialBacterial ProteinsBiomarkersEpitopesImmunoglobulin GInterferon-gammaPeptidesProteome

Identifiers

PMID24447912
PMCPMC3945917
OpenAlexW2110468480

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.