Two state model for a constant disease hazard in paratuberculosis (and other bovine diseases) Modeling Johne's disease: From the inside out Dr Ad Koets and Prof Yrjo Grohn

Yoram Louzoun, Rebecca Mitchell, Hilla Behar, Ynte Schukken

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Many diseases are characterized by a long and varying sub-clinical period. Two main mechanisms can explain such periods: a slow progress toward disease or a sudden transition from a healthy state to a disease state induced by internal or external events. We here survey epidemiological features of the amount of bacteria shed during Mycobacterium Avium Paratuberculosis (MAP) infection to test which of these two models, slow progression or sudden transition (or a combination of the two), better explains the transition from intermittent and low shedding to high shedding. Often, but not always, high shedding is associated with the occurrence of clinical signs. In the case of MAP, the clinical signs include diarrhea, low milk production, poor fertility and eventually emaciation and death. We propose a generic model containing bacterial growth, immune control and fluctuations. This proposed generic model can represent the two hypothesized types of transitions in different parameter regimes. The results show that the sudden transition model provides a simpler explanation of the data, but also suffers from some limitations. We discuss the different immunological mechanism that can explain and support the sudden transition model and the interpretation of each term in the studied model. These conclusions are applicable to a wide variety of diseases, and MAP serves as a good test case based on the large scale measurements of single cow longitudinal profiles in this disease.

Original languageEnglish
Article number67
JournalVeterinary Research
Volume46
Issue number1
DOIs
StatePublished - 19 Jun 2015

Bibliographical note

Publisher Copyright:
© 2015 Louzoun et al.; licensee BioMed Central.

Funding

The authors acknowledge the support of the Within-host modeling of MAP infections Working Group at the National Institute for Mathematical and Biological Synthesis, sponsored by the National Science Foundation, the U.S. Department of Homeland Security, and the U.S. Department of Agriculture through NSF Award DBI-1300426, with additional support from The University of Tennessee, Knoxville.

FundersFunder number
National Science FoundationDBI-1300426
Directorate for Biological Sciences1300426
U.S. Department of Homeland Security
U.S. Department of Agriculture
University of Tennessee

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