ArticlePloS one2008
Pattern recognition in pulmonary tuberculosis defined by high content peptide microarray chip analysis representing 61 proteins from M. tuberculosis.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Trial
- Mining Autoimmune-Disorder-Linked Molecular-Mimicry Candidates inMicroorganisms · 2023Article
- 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] · 2023Article
- Modeling of MT. P495, an mRNA-based vaccine against the phosphate-binding protein PstS1 of Mycobacterium tuberculosis.Molecular diversity · 2023Article
- Research progress of functional motifs based on growth factors in cartilage tissue engineering: A review.Frontiers in bioengineering and biotechnology · 2023Review
- Applications of Peptide Microarrays in Autoantibody, Infection, and Cancer Detection.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Peptide-Based Vaccines for Tuberculosis.Frontiers in immunology · 2022Review
- Article
- Whole genome sequencing, analyses of drug resistance-conferring mutations, and correlation with transmission of Mycobacterium tuberculosis carrying katG-S315T in Hanoi, Vietnam.Scientific reports · 2019Article
- Utility of dominant epitopes derived from cell-wall protein LppZ for immunodiagnostic of pulmonary tuberculosis.BMC immunology · 2018Article
- B in TB: B Cells as Mediators of Clinically Relevant Immune Responses in Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015Review
- H1N1 viral proteome peptide microarray predicts individuals at risk for H1N1 infection and segregates infection versus Pandemrix(®) vaccination.Immunology · 2015Article
- Towards High-throughput Immunomics for Infectious Diseases: Use of Next-generation Peptide Microarrays for Rapid Discovery and Mapping of Antigenic Determinants.Molecular & cellular proteomics : MCP · 2015Article
- Serum reactome induced by Bordetella pertussis infection and Pertussis vaccines: qualitative differences in serum antibody recognition patterns revealed by peptide microarray analysis.BMC immunology · 2015Article
- Quantification of the epitope diversity of HIV-1-specific binding antibodies by peptide microarrays for global HIV-1 vaccine development.Journal of immunological methods · 2015Article
- Novel human recombinant antibodies against Mycobacterium tuberculosis antigen 85B.BMC biotechnology · 2014Article
- B-cell epitopes in NTS-DBL1α of PfEMP1 recognized by human antibodies in Rosetting Plasmodium falciparum.PloS one · 2014Article
- Whole CMV proteome pattern recognition analysis after HSCT identifies unique epitope targets associated with the CMV status.PloS one · 2014Article
- Function and Potentials of M. tuberculosis Epitopes.Frontiers in immunology · 2014Review
- A sequence in subdomain 2 of DBL1α of Plasmodium falciparum erythrocyte membrane protein 1 induces strain transcending antibodies.PloS one · 2013Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSerum antibody-based target identification has been used to identify tumor-associated antigens (TAAs) for development of anti-cancer vaccines. A similar approach can be helpful to identify biologically relevant and clinically meaningful targets in M. tuberculosis (MTB) infection for diagnosis or TB vaccine development in clinically well defined populations.
methodWe constructed a high-content peptide microarray with 61 M. tuberculosis proteins as linear 15 aa peptide stretches with 12 aa overlaps resulting in 7446 individual peptide epitopes. Antibody profiling was carried with serum from 34 individuals with active pulmonary TB and 35 healthy individuals in order to obtain an unbiased view of the MTB epitope pattern recognition pattern. Quality data extraction was performed, data sets were analyzed for significant differences and patterns predictive of TB+/-.
findingsThree distinct patterns of IgG reactivity were identified: 89/7446 peptides were differentially recognized (in 34/34 TB+ patients and in 35/35 healthy individuals) and are highly predictive of the division into TB+ and TB-, other targets were exclusively recognized in all patients with TB (e.g. sigmaF) but not in any of the healthy individuals, and a third peptide set was recognized exclusively in healthy individuals (35/35) but no in TB+ patients. The segregation between TB+ and TB- does not cluster into specific recognition of distinct MTB proteins, but into specific peptide epitope 'hotspots' at different locations within the same protein. Antigen recognition pattern profiles in serum from TB+ patients from Armenia vs. patients recruited in Sweden showed that IgG-defined MTB epitopes are very similar in individuals with different genetic background.
conclusionsA uniform target MTB IgG-epitope recognition pattern exists in pulmonary tuberculosis. Unbiased, high-content peptide microarray chip-based testing of clinically well-defined populations allows to visualize biologically relevant targets useful for development of novel TB diagnostics and vaccines.
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