ArticlePloS one2024
Human antibodies against Mycobacterium avium ssp. paratuberculosis combined with cytokine levels for the diagnosis and selection of Crohn's disease patients for anti-mycobacterial therapy-A pilot study.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Exploring the etiology of colitis: insights from gut microbiota research.Gut microbes · 2025Review
- Functional analysis of the intracellular survival ofJournal of bacteriology · 2025Article
- Viewpoint: The Use of Antimycobacterial (Anti-MAP) Therapies in the Treatment of Active Luminal Crohn's Disease.JGH open : an open access journal of gastroenterology and hepatology · 2025Review
- The Analysis of Paratuberculosis Prevalence and Associated Performance Parameters in Dairy Cows from Xi'an City.Veterinary sciences · 2025Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence links a worldwide bacterial infection of cattle and other animal species by Mycobacterium avium ssp. paratuberculosis (MAP) to Crohn's disease (CD). A large, FDA phase 2/3 controlled clinical trial of combination antimycobacterial antibiotic therapy for CD has been completed, and the report describing the trial is pending publication. The identification of MAP infection in CD patients will become increasingly important. Thus, it is desirable to develop MAP-based tests that accurately predict which CD patients have a MAP infection. A prospective, case-control laboratory test study of 199 subjects (61 CD patients and 138 non-CD controls) was performed using a panel of MAP antigens, including Hsp65, PknG, PtpA, CL1, and MAP IDEXX, which were measured under blind conditions in the plasma of the 199 subjects. Results showed that compared to any individual MAP antigen, combinations of antigens showed improved CD classification performance. For the Hsp65 antigen, the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), correct classification (CC), and area under the curve (AUC) were 59.02%, 58.70%, 38.71%, 76.42%, 59.3% and 0.606, respectively. For the best combination of MAP antibodies (Hsp65 and PknG), the SEN, SPE, PPV, NPV, CC, and AUC were 59.02%, 60.87%, 40.00%, 77.06%, 60.30%, and 0.631, respectively. Further improvement of the CD classification performance was achieved by combining IFN-γ, IL-8, and IL-17 cytokines with antibodies against MAP antigens, yielding SEN, SPE, PPV, NPV, CC, and AUC of 62.3%, 62.32%, 42.22%, 78.9%, 62.31% and 0.708, respectively. Thus, combinations of antibodies against MAP antigens and cytokine levels yield better CD diagnostic predictive performance than any individual antibodies against MAP antigens.
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