ArticleScientific reports2017
Inferring biomarkers for Mycobacterium avium subsp. paratuberculosis infection and disease progression in cattle using experimental data.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Use of ELISA to predict highJournal of veterinary research · 2026Article
- When is the best time to test paratuberculosis positivity? Observations from a follow-up study in Hungarian dairy herds.Frontiers in veterinary science · 2025Article
- Cathepsin S Is More Abundant in Serum ofMetabolites · 2024Article
- Effective Control of Johne's Disease in Large Czech Dairy Herds.Journal of veterinary research · 2022Article
- Synergistic Activation of Bovine CD4+ T Cells by Neutrophils and IL-12.Pathogens (Basel, Switzerland) · 2021Article
- Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse.Communications biology · 2021Article
- Development of a Method to DetectFrontiers in veterinary science · 2021Article
- The association between detection of Mycobacterium avium subsp. paratuberculosis DNA in feces and histopathological classification.The Journal of veterinary medical science · 2020Article
- Article
- Characterizing infectious disease progression through discrete states using hidden Markov models.PloS one · 2020Article
- Gene expression profiles during subclinical Mycobacterium avium subspecies paratuberculosis infection in sheep can predict disease outcome.Scientific reports · 2019Article
- EnvironmentalFrontiers in cellular and infection microbiology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available diagnostic assays for Mycobacterium avium subsp. paratuberculosis (MAP) have poor sensitivities and cannot detect early stages of infection, therefore, there is need to find new diagnostic markers for early infection detection and disease stages. We analyzed longitudinal IFN-γ, ELISA-antibody and fecal shedding experimental sensitivity scores for MAP infection detection and disease progression. We used both statistical methods and dynamic mathematical models to (i) evaluate the empirical assays (ii) infer and explain biological mechanisms that affect the time evolution of the biomarkers, and (iii) predict disease stages of 57 animals that were naturally infected with MAP. This analysis confirms that the fecal test is the best marker for disease progression and illustrates that Th1/Th2 (IFN-γ/ELISA antibodies) assays are important for infection detection, but cannot reliably predict persistent infections. Our results show that the theoretical simulated macrophage-based assay is a potential good diagnostic marker for MAP persistent infections and predictor of disease specific stages. We therefore recommend specifically designed experiments to test the use of a based assay in the diagnosis of MAP infections.
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