Identification of biomarkers for tuberculosis disease using a novel dual-color RT–MLPA assay
Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with Mycobacterium tuberculosis ( Mtb ), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identificat...
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| Vydáno v: | Genes and immunity Ročník 13; číslo 1; s. 71 - 82 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
Nature Publishing Group UK
01.01.2012
Nature Publishing Group |
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| ISSN: | 1466-4879, 1476-5470, 1476-5470 |
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| Abstract | Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with
Mycobacterium tuberculosis
(
Mtb
), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT–MLPA) method, permitting rapid and accurate expression profiling of as many as 60–80 transcripts in a single reaction. dcRT–MLPA is sensitive, highly reproducible, high-throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT–MLPA to characterize the human immune response to
Mtb
in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis. |
|---|---|
| AbstractList | Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with
Mycobacterium tuberculosis
(
Mtb
), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT–MLPA) method, permitting rapid and accurate expression profiling of as many as 60–80 transcripts in a single reaction. dcRT–MLPA is sensitive, highly reproducible, high-throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT–MLPA to characterize the human immune response to
Mtb
in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis. Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with Mycobacterium tuberculosis (Mtb), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT-MLPA) method, permitting rapid and accurate expression profiling of as many as 60-80 transcripts in a single reaction. dcRT-MLPA is sensitive, highly reproducible, high- throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT-MLPA to characterize the human immune response to Mtb in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis. Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with Mycobacterium tuberculosis (Mtb), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT-MLPA) method, permitting rapid and accurate expression profiling of as many as 60-80 transcripts in a single reaction. dcRT-MLPA is sensitive, highly reproducible, high- throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT-MLPA to characterize the human immune response to Mtb in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis. Genes and Immunity (2012) 13, 71-82; doi: 10.1038/gene.2011.64; published online 29 September 2011 Keywords: dcRT-MLPA; host biomarkers; tuberculosis Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with Mycobacterium tuberculosis (Mtb), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT-MLPA) method, permitting rapid and accurate expression profiling of as many as 60-80 transcripts in a single reaction. dcRT-MLPA is sensitive, highly reproducible, high-throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT-MLPA to characterize the human immune response to Mtb in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis.Owing to our lack of understanding of the factors that constitute protective immunity during natural infection with Mycobacterium tuberculosis (Mtb), there is an urgent need to identify host biomarkers that predict long-term outcome of infection in the absence of therapy. Moreover, the identification of host biomarkers that predict (in)adequate response to tuberculosis (TB) treatment would similarly be a major step forward. To identify/monitor multi-component host biomarker signatures at the transcriptomic level in large human cohort studies, we have developed and validated a dual-color reverse-transcriptase multiplex ligation-dependent probe amplification (dcRT-MLPA) method, permitting rapid and accurate expression profiling of as many as 60-80 transcripts in a single reaction. dcRT-MLPA is sensitive, highly reproducible, high-throughput, has an extensive dynamic range and is as quantitative as QPCR. We have used dcRT-MLPA to characterize the human immune response to Mtb in several cohort studies in two genetically and geographically diverse populations. A biomarker signature was identified that is strongly associated with active TB disease, and was profoundly distinct from that associated with treated TB disease, latent infection or uninfected controls, demonstrating the discriminating power of our biomarker signature. Identified biomarkers included apoptosis-related genes and T-cell/B-cell markers, suggesting important contributions of adaptive immunity to TB pathogenesis. |
| Audience | Academic |
| Author | Goeman, J J Magis-Escurra, C Sutherland, J S Opmeer, L Jacobsen, M Kaufmann, S H E Ota, M O C de Boer, K G Ottenhoff, T H M Joosten, S A Haks, M C Finos, L |
| Author_xml | – sequence: 1 givenname: S A surname: Joosten fullname: Joosten, S A organization: Department of Infectious Diseases, Leiden University Medical Center – sequence: 2 givenname: J J surname: Goeman fullname: Goeman, J J organization: Department of Medical Statistics and Bioinformatics, Leiden University Medical Center – sequence: 3 givenname: J S surname: Sutherland fullname: Sutherland, J S organization: Bacterial Diseases Programme, Medical Research Council Laboratories – sequence: 4 givenname: L surname: Opmeer fullname: Opmeer, L organization: Department of Infectious Diseases, Leiden University Medical Center – sequence: 5 givenname: K G surname: de Boer fullname: de Boer, K G organization: Department of Infectious Diseases, Leiden University Medical Center – sequence: 6 givenname: M surname: Jacobsen fullname: Jacobsen, M organization: Department of Immunology, Max Planck Institute for Infection Biology, 5Current address: Department of Immunology, Bernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany – sequence: 7 givenname: S H E surname: Kaufmann fullname: Kaufmann, S H E organization: Department of Immunology, Max Planck Institute for Infection Biology – sequence: 8 givenname: L surname: Finos fullname: Finos, L organization: Department of Medical Statistics and Bioinformatics, Leiden University Medical Center – sequence: 9 givenname: C surname: Magis-Escurra fullname: Magis-Escurra, C organization: Department of Infectious Diseases, Leiden University Medical Center, 6Current address: Department of Pulmonary Diseases, Nijmegen University Medical Center Dekkerswald, Groesbeek, The Netherlands – sequence: 10 givenname: M O C surname: Ota fullname: Ota, M O C organization: Bacterial Diseases Programme, Medical Research Council Laboratories – sequence: 11 givenname: T H M surname: Ottenhoff fullname: Ottenhoff, T H M organization: Department of Infectious Diseases, Leiden University Medical Center – sequence: 12 givenname: M C surname: Haks fullname: Haks, M C email: m.c.haks@lumc.nl organization: Department of Infectious Diseases, Leiden University Medical Center |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21956656$$D View this record in MEDLINE/PubMed |
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| Copyright | Macmillan Publishers Limited 2012 COPYRIGHT 2012 Nature Publishing Group Macmillan Publishers Limited 2012. Copyright Nature Publishing Group Jan 2012 |
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Mycobacterium tuberculosis
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Mtb
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| SubjectTerms | Adaptive immunity Apoptosis Biological markers Biomarkers Biomedical and Life Sciences Biomedicine Cancer Research Cohort analysis Diagnosis Gene Expression Gene Expression Profiling Genes Genetic Markers - genetics Human Genetics Humans Identification Immune response Immune system Immunology Infections Infectious diseases Latent infection Lymphocytes B Lymphocytes T Mycobacterium tuberculosis Nucleic Acid Amplification Techniques - methods original-article Physiological aspects Polymerase chain reaction Real-Time Polymerase Chain Reaction - methods Reproducibility of Results Sensitivity and Specificity Transcriptomics Tuberculosis Tuberculosis - genetics Tuberculosis - immunology Vaccines |
| Title | Identification of biomarkers for tuberculosis disease using a novel dual-color RT–MLPA assay |
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