ArticleClinical and experimental immunology2006
Immune markers measured before treatment predict outcome of intensive phase tuberculosis therapy.
Article in Clinical and experimental immunology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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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.
The trial behind it
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Who cites it
39 citing papers in PubMed, 75 citations in OpenAlex.
- Serum biomarkers of treatment response within a randomized clinical trial for pulmonary tuberculosis.Tuberculosis (Edinburgh, Scotland) · 2015Trial
- Vitamin D accelerates resolution of inflammatory responses during tuberculosis treatment.Proceedings of the National Academy of Sciences of the United States of America · 2012Trial
- Systemic Host Proteomic Signatures as Dynamic Markers for Monitoring Pulmonary Tuberculosis Treatment Response.Infection and drug resistance · 2026Review
- Transcriptomic and proteomic signatures of host NK cells delineate distinct immune states across tuberculosis infection statuses.Frontiers in immunology · 2025Article
- The role of neutrophil response in lung damage and post-tuberculosis lung disease: a translational narrative review.Frontiers in immunology · 2025Review
- Type I IFN-mediated NET release promotes Mycobacterium tuberculosis replication and is associated with granuloma caseation.Cell host & microbe · 2024Article
- Diagnostic value of the neutrophil lymphocyte ratio in discrimination between tuberculosis and bacterial community acquired pneumonia: AJournal of clinical tuberculosis and other mycobacterial diseases · 2023Review
- Performance of serum soluble interleukin-2 receptor as a diagnostic marker for lymphoma in patients with fever.Scientific reports · 2023Article
- Monocyte at diagnosis as a prognosis biomarker in tuberculosis patients with anemia.Frontiers in medicine · 2023Article
- Retention ofACS infectious diseases · 2021Article
- Neutrophils in Tuberculosis: Cell Biology, Cellular Networking and Multitasking in Host Defense.International journal of molecular sciences · 2021Review
- Pre-Treatment Neutrophil Count as a Predictor of Antituberculosis Therapy Outcomes: A Multicenter Prospective Cohort Study.Frontiers in immunology · 2021Observational
- Coordinated In Vitro Release of Granulysin, Perforin and IFN-γ in TB and HIV/TB Co-Infection Associated with Clinical Outcomes before and after Anti-TB Treatment.Pathogens (Basel, Switzerland) · 2020Article
- Increased Neutrophil Count and Decreased Neutrophil CD15 Expression Correlate With TB Disease Severity and Treatment Response Irrespective of HIV Co-infection.Frontiers in immunology · 2020Article
- Neutrophils express pro- and anti-inflammatory cytokines in granulomas from Mycobacterium tuberculosis-infected cynomolgus macaques.Mucosal immunology · 2019Article
- Predicting the risk of pulmonary tuberculosis based on the neutrophil-to-lymphocyte ratio at TB screening in HIV-infected individuals.BMC infectious diseases · 2019Article
- Pretreatment Cerebrospinal Fluid Bacterial Load Correlates With Inflammatory Response and Predicts Neurological Events During Tuberculous Meningitis Treatment.The Journal of infectious diseases · 2019Article
- Changes in the liver transcriptome of farmed Atlantic salmon (Salmo salar) fed experimental diets based on terrestrial alternatives to fish meal and fish oil.BMC genomics · 2018Article
- 25-Hydroxyvitamin D concentrations in dogs with naturally acquired blastomycosis.Journal of veterinary internal medicine · 2018Article
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Corrections and comments
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of a statistical model based on simple immunological markers which could predict the response to tuberculosis treatment would facilitate clinical trials of new anti-tuberculosis drugs. We have examined the ability of immunological biomarkers, measured at diagnosis and after 4 weeks of treatment, to predict sputum smear status at week 8. Eighteen tuberculosis patients with positive Ziehl-Nielsen (ZN)-stained sputum smears 8 weeks after initiation of treatment (slow response) were matched for age, gender, sputum smear grade and extent of disease on chest radiograph to 18 patients with negative sputum smears at week 8 (fast response). In addition to total white blood cell (WBC) counts and absolute lymphocyte, monocyte and neutrophil numbers, concentrations of six serum markers were measured by enzyme-linked immunosorbent assay (ELISA) in all patients (soluble interleukin-2 receptor alpha (sIL-2Ralpha), granzyme B, soluble tumour necrosis factor alpha receptors 1 and 2 (sTNF-R1 and -2), nitrotyrosine and interferon-gamma (IFN-gamma). At diagnosis, 4 biomarkers (sTNF-R1, total WBC, absolute monocyte and absolute neutrophil numbers) were significantly higher in slow response patients. At week 4, total WBC count and absolute monocyte and neutrophil numbers remained significantly higher in slow responders. Discriminant analysis of the diagnosis and week 4 data provided models for classification of slow response patients with 67% and 83% predictive accuracy. We suggest that treatment response phenotypes can be determined before the start of treatment. Reliable predictive models would allow targeted interventions for patients at risk for slow treatment response to standard tuberculosis therapy.
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Registered trials
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.