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Case definition terminology for paratuberculosis (Johne’s disease)

Abstract

Paratuberculosis (Johne’s disease) is an economically significant condition caused by Mycobacterium avium subsp. paratuberculosis. However, difficulties in diagnosis and classification of individual animals with the condition have hampered research and impeded efforts to halt its progressive spread in the global livestock industry. Descriptive terms applied to individual animals and herds such as exposed, infected, diseased, clinical, sub-clinical, infectious and resistant need to be defined so that they can be incorporated consistently into well-understood and reproducible case definitions. These allow for consistent classification of individuals in a population for the purposes of analysis based on accurate counts. The outputs might include the incidence of cases, frequency distributions of the number of cases by age class or more sophisticated analyses involving statistical comparisons of immune responses in vaccine development studies, or gene frequencies or expression data from cases and controls in genomic investigations. It is necessary to have agreed definitions in order to be able to make valid comparisons and meta-analyses of experiments conducted over time by a given researcher, in different laboratories, by different researchers, and in different countries. In this paper, terms are applied systematically in an hierarchical flow chart to enable classification of individual animals. We propose descriptive terms for different stages in the pathogenesis of paratuberculosis to enable their use in different types of studies and to enable an independent assessment of the extent to which accepted definitions for stages of disease have been applied consistently in any given study. This will assist in the general interpretation of data between studies, and will facilitate future meta-analyses.

Background

Paratuberculosis (Johne’s disease) is caused by Mycobacterium avium subsp. paratuberculosis (MAP). The organism commonly infects ruminants where it resides in macrophages in the small intestinal lamina propria and associated lymph nodes, triggering granulomatous inflammation and an enteropathy that is eventually fatal in many cases. The organism is not host specific, and infections have been reported from species as diverse as rabbits, cats and humans [1,2,3]. The economic losses in farmed livestock are due to lost milk production, weight loss and mortality [4,5,6,7,8]. In addition there are significant animal welfare considerations associated with this chronic wasting disease [9]. For these reasons, and also whether stated overtly or not the potential for MAP to appear in the human food chain, has stimulated the development of disease control programs for paratuberculosis in farmed livestock. In the face of limited resources and many unequivocal public health threats, these control programs satisfy public health agencies who recognize a link but not a causative relationship between MAP and Crohn’s disease [10], while topic specialists encourage the livestock industry to acknowledge the potential public health issue [11]. The requirement to reduce the prevalence of paratuberculosis has triggered studies to improve laboratory tests, vaccines and to explore the potential for breeding programs for disease resistance in livestock. However, difficulties in diagnosis and in the classification of the disease in individual animals have hampered research and efforts to overcome the progressive spread of paratuberculosis in the global livestock industry.

In one of the largest studies to date, involving detailed examination of more than 1000 cows using a battery of tests, Vazquez et al. (2014) [12] confirmed that most MAP infections are subclinical, and that the microbiological and pathological features of paratuberculosis leading to disease transmission are not dissimilar to tuberculosis in humans. In both humans and livestock, infected individuals carry pathogenic mycobacteria silently into new geographic areas [13,14,15]. It is a feature of chronic mycobacterial diseases in both humans and livestock that our ability to accurately classify individual cases and controls enables meaningful experimental design and analyses in many types of studies; generally these are aimed at better disease diagnosis, control, treatment and prevention (for example see [16, 17]). Descriptive terms that are applied to individual animals and herds such as exposed, infected, diseased, clinical, sub-clinical, infectious, resilient and resistant need to be described objectively and unambiguously so that they can be incorporated consistently into well-understood and reproducible case definitions. Herd-level case definitions can be developed from those applied to individual animals but are not dealt with in this paper.

Case definitions allow for classification of individuals in a population for the purposes of analysis based on accurate counts. The outputs might include the incidence of cases (number of new cases per unit time and population at risk), frequency distributions of the number of cases by age class or more sophisticated analyses involving statistical comparisons of immune responses in vaccine development studies, or of gene frequencies or expression data from cases and controls in genomic investigations. Advances in technology and the availability of new testing platforms enable studies on immune, proteomic, genomic and metabolic disease signatures combined with sophisticated analytical methods, and these can be applied to animal models of paratuberculosis (for example [18]). These approaches aim to provide a greater understanding of disease pathogenesis and host susceptibility, however they ultimately depend on the classification of the status of individual animals. Hence there is a need to use consistent terminology and case definitions in order to establish the foundations for analysis. It is necessary to have agreed definitions in order to be able to make valid comparisons and meta-analyses of experiments conducted over time by a given researcher, in different laboratories, by different researchers, and in different countries. Indeed the lack of standard case definitions is recognized in tuberculosis research to hamper comparison of research findings, prevent best use of existing data and limit the management of disease [19]. This has led to promotion and comparison of standardized clinical case definitions in recent years, but it is already clear that case definitions conceived for one purpose, for example diagnosis of childhood tuberculous meningitis, may not be suitable for another, for example contact tracing, analogous to veterinary trace forward investigation (the problem here was lack of clinical signs in the latter being the first layer of classification in the former) [20, 21]. In this context the case definitions were intended to be used as standardized diagnostic criteria with a view to clinical intervention, and therefore the case definitions had properties of diagnostic tests (accuracy: sensitivity and specificity) [17]. For non-tuberculous mycobacterial infections in humans, adherence to American Thoracic Society diagnostic criteria to distinguish these from airway colonization was poorly associated with any difference in prognosis [22]. The issue is the use of consistent terms for analysis of diagnostic tests and then layering these to reach conclusions to enable classification of individuals. The same problem is evident in paratuberculosis, where animals are classified based on test outcomes; the tests can be used in series or in parallel, and so there will be variable accuracy of classification of the true infection or disease status. For example Zare et al. [23] classified animals as “test-positive” or “test-negative” based on ELISA alone or ELISA and faecal culture in parallel (parallel interpretation, individual is positive if either test is positive). The alternative would have been to require both tests to be positive (series interpretation, individual is positive if both tests are positive). Similarly Gonda et al. [24] used ELISA and faecal culture in parallel to classify animals in a herd as “infected” or non-infected for a genetic study. Collins et al. [25] used faecal culture results in parallel from tests repeated at up to three laboratories to classify animals as “a confirmed case of infection” to evaluate ELISA tests. Socket et al. defined subclinical infection to be isolation of MAP from faeces or organs of cows without clinical signs such as diarrhoea or weight loss [26]. Each of these definitions can result in a different pattern of grouping of individuals as cases or controls. Osterstock et al. (2010) [27] simulated faecal culture and ELISA results using reported sensitivity and specificity metrics, and demonstrated that the power to detect a genetic association using case definitions based on these tests was low. Conceptually, the evidence used to define a “case” can range from overwhelming to very limited when the accuracy of the aggregated testing procedure is considered (Fig. 1).

Fig. 1
figure 1

Conceptual ranking of evidence used to define a “case” in the paratuberculosis literature. Overwhelming evidence: indisputable diagnostic confirmation of clinical paratuberculosis. Cumulative evidence: range of ante-mortem and post-mortem tests applied and/or repeat testing at separate time points, combined with herd history, leading to greater certainty regarding true infection status. Limited evidence: use of ante-mortem tests such as the milk or serum ELISA and faecal culture, either alone or in combination; parallel interpretation of two or more tests (positive in any of the tests applied); uncertain diagnostic implications of combining information from more than one test

Paratuberculosis presents as a range of sub-clinical and clinical forms during the 1 to 14 year incubation period, and this chronicity of pathogenesis contributes to difficulties with disease characterization at each stage of progression [28]. The variation in disease presentation, the challenges of diagnostic test accuracy, when combined with the lack of consistency in application of terminology and case definitions has led to lack of agreement between studies, be they focused on validation of diagnostic tests, vaccine development or genome wide associations (for example see [29, 30]).

Scope

In this paper, a brief discussion of the specific requirements for individual animal case definitions in studies related to diagnostic tests, genetics/genomics and vaccines is presented. Diagnostic tests for paratuberculosis, and their attributes are briefly introduced. This is followed by an explanation of terms that are commonly used in the context of paratuberculosis. These terms are then applied systematically in an hierarchical flow chart to enable classification of individual animals using available information such as herd history and objective diagnostic tests. Areas of uncertainty remain with certain animal classifications, and these are highlighted. We propose descriptive terms for different stages in the pathogenesis of paratuberculosis to enable their use in case definitions for different types of studies (diagnostic test evaluations, prevalence estimation, certification of disease freedom, vaccine efficacy and genomic studies). Case definitions can be precisely defined, should be linked to an understanding of pathogenesis, and should be consistent between studies. However, the stringency with which a case definition can be met will differ between studies according to resources and other practical considerations, and the accuracy of animal classification (i.e. the sensitivity and specificity) will also vary. For this reason it is important that guidance be provided to enable self-assessment or indeed an independent assessment of the extent to which case definitions are met in any given study.

Contexts for application of specific terms and case definitions

Diagnostic test evaluation

One of the most important applications of case definition is in diagnostic test evaluation. The World Organisation for Animal Health (OIE) recommends that diagnostic tests be evaluated after explicitly stating the purpose of the test (to ensure that a test is fit for purpose, for example “to detect animals that can transmit the disease”) and more generally “to accurately predict the infection or exposure status of the animal or population of animals” [31]. In 2008 Nielsen and Toft reviewed the accuracies of diagnostic tests for paratuberculosis and made distinctions between non-mutually exclusive categories of infected, infectious and affected animals, which they termed “target conditions” [30]. Their epidemiological approach, which recognized the long latent phase of the infection (pathogenesis), enabled test accuracy to be summarized based on stratification of the stages of the disease. This approach is well-recognized, for example in an assessment of direct faecal PCR test accuracy based on stratification of animals in the population according to the severity of their histopathological lesions [32]. Nielsen and Toft (2008) [30] recommended that diagnostic test evaluations be more stringent in future, including consistent classification of subjects and avoidance of variable case definitions. In their conceptualization, the target condition is linked to the purpose of a diagnostic test and to pathogenesis, while the case definition is “a practical description of the target condition” [33]. In other words, the case definition is chosen to suit the needs of the individual study, often involving pragmatic compromise. However, the case definition should be constrained by rules to reflect the target condition [33]. The problem with this approach is that case definition is flexible, and studies conducted for different purposes are not easily comparable because there is lack of consistency in the use of terms that underpin the various possible case definitions. An alternative view is that the target condition is a general statement related to the purpose of a diagnostic test; note that there is little difference between purpose and target condition, as shown in Figure 2 in the article by Nielsen et al. 2011 [33], while case definition is a more precise statement, or an algorithm for diagnostic test inclusion and interpretation. This is also how case definitions have usually been applied in the tuberculosis literature (for example [17]).

Genetics/genomics/genome wide association studies

The purpose of a genome wide association study (GWAS) is to find a relationship between defined genes/alleles and disease characteristics (i.e. a phenotype) at population level, with a view to understanding the relationship between genotype and phenotype at individual animal level. If there is a strong relationship, it may be possible to select genetically resistant individuals for breeding, or alternatively cull susceptible animals to exclude them from the breeding population. Clearly in this context an accurate classification of phenotype is important, and this can be enabled by appropriate and consistent use of case definitions. The lack of consistency of phenotypic classification of animals is one important reason for lack of agreement in the results of different GWAS studies for paratuberculosis [29, 34, 35]. Mostly the discrepancies are due to application of different diagnostic tests with different sensitivities and specificities, at different times in the pathogenesis of the disease, resulting in potential misclassification bias of both cases and controls [34]. Approaches to avoid misclassification bias, given that the genome sequence of an individual is fixed, include repeated testing over time to cover changing disease state in the animals [36], application of multiple ante-mortem diagnostic tests and interpretation of test results in parallel [37, 38] and post-mortem examination which enables culture of tissues and histopathological examination [36, 39]. These steps would increase diagnostic sensitivity, which is often lacking in paratuberculosis studies. However, there may be circumstances where series interpretation of test results is useful to avoid misclassification bias, particularly where specificity of a screening test is suboptimal, for example interferon-γ tests for paratuberculosis in calves [40]. While principles of phenotypic classification are well understood there is as yet no standard upon which to guide genetic studies for paratuberculosis.

Vaccine development and evaluation

Research and development on new vaccines to protect against paratuberculosis will continue [41] until an improved formulation is developed that has better efficacy and safety than those currently available [42,43,44]. The efficacy of vaccines for paratuberculosis can be measured by reductions in viable MAP in tissues, histopathological lesions, faecal shedding of MAP, incidence of clinical disease or production of sterile immunity [45, 46]. Researchers should consider using all of these measures as part of a defined animal outcome to determine candidate vaccine efficacy. To avoid misclassification bias of post vaccination outcomes, accurate case definitions using well understood diagnostic measures should be used [30].

The outcome of infection in a vaccinated ruminant could include recovery if vaccination occurs post exposure to MAP. Subharat et al. (2012) [47] observed a reduced severity of infection in cattle from 7 to 15 months post vaccination, while Dennis et al. (2011) [48] observed recovery in naturally infected sheep. Description of the spectrum of disease within the unvaccinated control population is also important to accurately measure vaccine efficacy; if the onset of clinical disease in control animals is unnaturally early or prevalent for that species, the protective response of the vaccine may be overwhelmed [49]. Conversely, if none of the animals from the unvaccinated control group develop clinical disease it is hard to establish whether the vaccine is protective against this important outcome, even if histological lesions and MAP recovery is recorded. If validated, defined early markers/profiles of infection outcome in the natural host [50] could be used in vaccine efficacy screening instead of conducting screening studies in cell cultures or mice [51].

Disease diagnosis and regulatory action

Paratuberculosis is a notifiable disease in some countries, and accurate diagnosis is important prior to application of control measures which may require stamping out, culling or quarantine measures. Establishing the prevalence of paratuberculosis in a region, or assurance that the infection is absent from a region are also important activities. Trace forward investigations, trace back investigations and confirmation of true infection status following positive results in screening tests are common scenarios. There is some guidance from the OIE on test procedures [52] and also in individual countries (for example Australia [53]) but in general there is no agreed terminology for so-called “target conditions”.

Characteristics of diagnostic tests for paratuberculosis

Many of the terms and case definitions for paratuberculosis depend on the results of objective diagnostic tests and historically these have been widely applied to classify animals with paratuberculosis. There are numerous protocols for conducting tests for paratuberculosis (for example see OIE [52]). In general they can be classified as tests for the pathogen (culture or direct PCR of faeces, tissues or milk), or tests for the host’s immune response (antibody detection ELISA on serum or milk, various assays for cell mediated immunity such as delayed type hypersensitivity tests) or tissue inflammatory response (gross pathology and histopathology). Test accuracy can be described in terms of sensitivity (the proportion of sick animals that are detected) and specificity (the proportion of healthy animals that test negative), but all are imperfect, i.e. false positive and false negative test outcomes occur [30]. An indication of the accuracy of various tests is provided in Table 1. The lack of perfect tests creates problems in diagnostic test evaluations as newer tests such qPCR are often compared to less sensitive/specific established tests, resulting in apparent lower sensitivity and specificity estimates for newer tests. This has led to an increase in the use of Bayesian latent class models for diagnostic test evaluations, and recommended standards for these [54, 55].

Table 1 Temporal applicability and accuracy of diagnostic tests for paratuberculosis in sheep and cattle

Mismatches between the results of different tests for paratuberculosis are common: tissue culture results may not agree with histopathology; faecal culture may not agree with antibody ELISA. For example, MAP was cultured from the tissues of about 30% of sheep and 7% of cattle that did not have histopathological lesions [12, 56]. More recently, in a series of trials conducted at the University of Sydney between 2006 and 2012 involving over 400 sheep that were intensively monitored and received a full necropsy, 13% of the sheep positive for MAP by tissue culture had no detectable histopathological lesions across six different regions of the gut and associated lymph nodes (unpublished data).These discrepancies can be readily understood in terms of stage of pathogenesis, site of sample selection and amount of sample examined, and biological/physical properties of the tests (for discussion see [28]). These factors mean that for accurate classification of animals it is often necessary to apply a range of tests, and to do this at more than one time point so as to capitalize on stages of pathogenesis that favour one type of test over another. At any particular time, the stage of pathogenesis in any given individual may be unknown.

Culture of MAP

This test is usually considered to have 100% specificity [30, 57] assuming the appropriate confirmatory tests are used. However, the sensitivity is imperfect because of stage of disease, sample selection and sample decontamination [28, 58]. Sensitivity estimates for culture of faeces range from 16 to 74% across species and stages of disease [30]. Culture of intestinal tissues is the most sensitive way to confirm infection at individual animal level. In addition, culture results can be quantitative [59, 60] and culture performed in liquid medium is more sensitive than culture on solid media (reviewed in [57]). Due to intermittent shedding of MAP in faeces, the more frequently samples are collected and tested the greater the number of shedding individuals that can be detected [61].

Direct faecal PCR tests

Direct faecal PCR tests have been developed in recent years [32, 62,63,64,65]. If results are normalized against a DNA standard curve, such tests provide quantitative results which correlate with stage of disease [65]. High MAP DNA quantities are more likely to represent true infection rather than passive (pass through) shedding of the bacterium [66]. There are few validation studies of test accuracy for direct faecal PCR tests, but sensitivity and specificity of some tests may be similar to faecal culture [65].

Anti-MAP antibody ELISA

A positive result in antibody ELISA is defined by the test kit manufacturer, or the user in terms of sample-to-positive (S/P) or another normalized value. The results of many studies have shown that the specificity of the assay is usually high [30] except in certain geographical locations where specificity may be low due to exposure to environmental mycobacteria [67]. Antibody ELISA on serum samples or milk samples has relatively low sensitivity [30, 68] except in late stages of the disease. Positive results can indicate exposure to MAP [69].

Interferon-gamma (IFN-γ)

A positive result is defined in terms of S/P or another normalized value. There have been few validation studies [30] and the specificity of the assay may vary depending on the species, age of the cohort tested and the experimental protocol used. Positive results have been associated with exposure to MAP but not necessarily with infection [50, 70]. The assay offers the potential to detect exposure to MAP early in the life of an animal, however the sensitivity of the IFN- γ assay is unknown [71].

Lymphocyte proliferation assay

This is a research tool. A positive result is defined by the laboratory; there have been no validation studies but positive results have been associated with exposure to MAP [16, 72,73,74].

Necropsy

This enables a thorough examination of relevant tissues (particularly those of the ileum and associated lymph nodes) and their collection for MAP culture as well as histopathological examination. The greater the number of sites in the intestine examined the more likely it is that infection and or disease will be detected [75].

Gross pathology

The gross pathology associated with MAP infection, which includes enlargement of mesenteric and ileocaecal lymph nodes and thickening of the intestinal mucosa is not specific to paratuberculosis, and gross changes do not occur in all affected animals [76,77,78,79,80]. Cording of lymphatic vessels in the serosa, mesentery and associated lymph nodes is due to advanced granulomatous inflammation, usually in late stages of pathogenesis.

Histopathology

Objective lesion scoring criteria have been published and are widely used in research applications [12, 48, 81,82,83,84]. These systems have multiple categories to describe the extent, severity and nature of the granulomatous lesions that characterize paratuberculosis. The Perez classification [81], like others is categorical and not necessarily ordinal. However, it is likely that there is an order of progression of lesions from mild to severe, and from paucibacillary to multibacillary, based on the results of sequential biopsies [48]. Using the system of Perez et al. (1996) [81] this is from 1 (mild focal) to 2 (focal) to 3a (multifocal), and then to either 3b (multifocal to diffuse, multibacillary) or 3c (multifocal to diffuse, paucibacillary). It is important that relevant tissues are examined. In general, the terminal ileum and ileocaceal valve region and nearby lymph nodes are considered to be predilection sites, but lesions extend more widely along the intestine as the disease progresses [82, 85, 86]; examination of a wider range of intestinal sites and associated lymph nodes is recommended to be more confident that lesions are not present.

Definitions of terms

The following terms are based on the systematic collection of objective historical evidence, clinical signs and laboratory test results that can be organized hierarchically into a logical framework for conceptualization of case definitions. The hierarchy is presented in Fig. 2.

Fig. 2
figure 2

Primary dichotomous classification of animals exposed to MAP using a systematic and structured diagnostic approach. AFB, acid fast bacilli

Paratuberculosis or Johne’s disease

This is a comprehensive term to describe all forms of infection with and disease caused by MAP. It does not necessarily imply that the animal has outward signs of disease.

Exposed

The animal has been exposed to MAP, either through direct or indirect contact with known-infected animals, pasture or bedding or milk, or through an experimental infection. This classification is based on history, a field epidemiological assessment, or direct knowledge of the experimental design. It might be possible to determine whether there was exposure to a potentially infectious dose, or alternatively whether the exposure was unlikely to be sufficient to lead to infection.

Infected

The animal is infected with MAP based on a microbiological assessment. Infection is defined by culturing MAP from the tissues of the animal, or by demonstrating MAP in the tissues by PCR. This is a definitive test process that is conducted post mortem or through biopsy. Culture of faeces can provide indirect evidence of infection. The presence of MAP in faeces can be due to pass through (passive shedding) when the animal is ingesting MAP from the environment, and although this provides very strong evidence of exposure, it is not confirmation of infection. Pass through occurs for 7–10 days after a single oral exposure in small ruminants and cattle [40, 87,88,89,90,91,92,93]. Detection of MAP in faeces on more than one occasion (i.e. from independent samples collected on different days) provides more information and is suggestive of infection. In one study, 80% of cows with ≥1 faecal sample positive in culture also had a positive culture test result from their intestinal tissues, confirming true infection [94]. In a 2.5 year trial, 80% of MAP exposed sheep grazing together on pasture were infectious (≥ 1 positive fecal culture) but only 45% were infected [95]. Faecal shedding in the uninfected sheep halted 6 months after exposure. Except in special circumstances (see below), microscopic examination alone of tissues collected at post mortem or biopsy is not sufficient to define infection because acid fast bacilli (AFB) other than MAP may be present in tissues [80]. Also except in special circumstances, positive ELISA test results alone are not sufficient to define infection because false positive immunological reactions are possible in animals that have been exposed to environmental mycobacteria; this can occur sporadically or because of geographic location [67]. Due to the potential for pass through of MAP, and for spurious ELISA results, positive faecal culture and blood or milk antibody ELISA test outcomes on more than one sampling occasion increase the confidence about infection of the animal, but are not definitive.

Clinically infected

The animal is infected and has clinical signs (see Clinical Disease below).

Subclinically infected

The animal is infected but does not have clinical signs (see Subclinical Disease below).

Infectious

The animal is shedding viable MAP in its faeces or milk. This classification is based on a microbiological assessment and is defined by positive results in faecal or milk culture. The analytical sensitivity of faecal culture is ≥100 bacilli per gram of faeces [57]. As the infectious dose is not accurately known [49, 96], any detection of MAP in faeces by culture indicates that the animal is potentially infectious. The amount of shedding and therefore the relative degree of infectiousness can be determined by culture, and animals can be graded into light, medium or heavy shedders or super-shedders [97, 98]. In the case of pass through shedding, the animal may be considered to be infectious at the time it was shedding. In special circumstances (see below) such as experimental inoculation trials where live bacteria have been administered orally and infection is likely, or where prior faecal culture tests were positive, shedding may be defined by faecal PCR or faecal smear stained with Ziehl Neelsen (ZN), acknowledging that these tests do not distinguish between live and dead bacteria. Quantitative faecal PCR can provide information on the level of shedding [65].

Diseased

The animal has demonstrable histopathological lesions consistent with MAP infection. It may also have gross pathological lesions in the intestinal tissues and associated lymph nodes. Most but not all diseased animals will also have demonstrable infection (Fig. 2). Gross lesions are not specific for paratuberculosis and may be absent [76]. There is an ambiguous category where exposure occurred, microscopic lesions are present but the organisms cannot be demonstrated; this category includes recovered cases.

Histopathology positive

Granulomatous lesions attributable to MAP are present. The morphological diagnosis can be refined using one of the lesion classification schemes [12, 48, 81,82,83,84] to assess the stage of disease and infer the degree of infectiousness, because multibacillary lesions are correlated with heavy faecal shedding [50]. Specific terminology is used in Australia for diagnostic purposes [53]: “a diagnosis of ‘lesions consistent with MAP infection’ is indicated if in any one section, one or more single giant cells and/or one or more accumulations of epithelioid macrophages are observed in the intestinal lamina propria and/or lymph node cortex with the presence of at least one acid fast organism (AFO) morphologically consistent with MAP”; a finding ‘suggestive of MAP infection’ is indicated if AFO are not observed. Arguably, microscopic evidence is incomplete unless AFB in the lesions are confirmed to be MAP, for example by PCR, or are cultured from the tissues, because other species of mycobacteria can induce similar lesions. Lesion progression is not well described and the distinct categories defined below represent a continuum; for example early lesions in the category of 3a [81] may be paucibacillary or multibacillary precursors.

Paucibacillary lesion

These histopathological lesions do not contain large numbers of AFB [81, 82]. In the classification of Perez et al. (1996) [81] these are typically score 3c lesions, which are quite widespread, but the more focal lesion grades of 1, 2, and 3a usually contain no or few detectable AFB.

Multibacillary lesion

These histopathological lesions are typically widespread or diffuse and contain large numbers of AFB [81, 82]. In the system of Perez et al. (1996) [81] these are termed 3b lesions, but some of the earlier lesions in the 3a category can also contain large numbers of AFB.

Clinical disease

The animal has disease and associated clinical signs, specifically demonstrable weight loss, measured as ≥10% body weight loss over one month [99], and/or is in low body condition score relative to the majority of animals in the flock/herd. Objective visual body condition scoring systems are used internationally [100]. Cattle may have diarrhoea; usually this is profuse and watery. Small ruminants usually do not have watery diarrhoea, and often have normal faecal pellets.

Sub-clinical disease

The animal is diseased but does not have clinical signs attributable to paratuberculosis.

The clinical signs of paratuberculosis are not specific. Weight loss and diarrhoea may occur for a variety of reasons, therefore clinical signs alone cannot be used to define paratuberculosis. Where clinical signs are observed, they can be ascribed to paratuberculosis only when microscopic pathology in the intestine is observed that is consistent with paratuberculosis, with or without gross pathology. Except in special circumstances, culture of MAP from tissues or faeces cannot be used as the only test to confirm that clinical signs are due to MAP because clinical signs are not due to infection per se; this is clear because animals with paucibacillary or multibacillary lesions can succumb to clinical disease; these are cases with widespread severe lesions rather than mild lesions [85].

Resistant/resilient

It may be possible to classify animals with resistant phenotypes in some circumstances (Fig. 3). Conceptually, resistant/resilient animals are known to have received an infectious dose of MAP at an age when they were susceptible but the infection does not establish, does not progress, or remains in a dormant state so that when the animal is examined at necropsy, the infection cannot be detected by culture of tissues and there is no evidence of disease in the histopathological examination.

Fig. 3
figure 3

Secondary classification of animals exposed to MAP based on their susceptibility or resistance to infection and disease, defined using the diagnostic approach in Fig. 2. Recovered is a subgroup of resistant/resilient, defined by more stringent evidence

Recovered from paratuberculosis

The concept of recovery from paratuberculosis depends on strong evidence in order to be accepted. It is a subset of resistant/resilient (Fig. 3). Recovery from paratuberculosis has seldom been demonstrated; it means the elimination of a demonstrable infection [48]. Proof of recovery requires detailed examinations at more than one time point: the animal is shown to be infected and may be diseased at the first time point and is not infected at a subsequent time point. Recovered animals may have residual histopathological lesions from which MAP cannot be cultured (sterile granuloma), i.e. have evidence of disease, but the lesions should be mild or of a lower grade than those observed at an earlier time point.

To show resistant/resilient and recovered, exposure to a known infectious dose of MAP can be inferred in two ways. Firstly, using a recognized experimental infection model in which the animal was exposed to MAP at a susceptible age by direct inoculation on more than one occasion [49, 99, 101]. Susceptibility of cattle and sheep to MAP infection is greatest before about 6 months of age [102, 103]. A second way is in natural settings where paratuberculosis has been observed. In both contexts, a spectrum of disease is subsequently observed in the cohort of animals, showing that the exposure led to infection and that the host/environmental conditions were conducive to disease expression. Laboratory tests can be used to confirm exposure of individuals, for example a positive result in the IFN-γ test, lymphocyte proliferation assay, anti-MAP antibody ELISA and/or faecal culture [30, 50, 69, 70, 72, 99, 104,105,106] can indicate exposure. MAP DNA quantities in faeces assessed by direct quantitative faecal PCR test must be low, that is, there is no evidence of heavy shedding of MAP [32, 65]. It is well known that young animals shed MAP for a short time commencing several months post exposure; then, after a potentially long latent period, active shedding may recommence as the disease progresses [95, 107, 108]. Therefore, to confirm resistance it is necessary to show that if faecal shedding occurred in a young animal, it ceased, and then there was a lengthy period during which the animal did not shed MAP; consequently this assessment can be made only in adult animals after several years. Following necropsy, MAP cultures on tissues collected from multiple sites in the gut including the ileocaecal valve and associated lymph nodes must be negative and histopathological lesions if detected must be mild (for example Perez score < 2 [81]). Necropsy examination must be conducted after the animal has had enough time to develop identifiable histopathological lesions, i.e. in adults preferably after several years. Further research is required to properly define these intervals for verification, but the scale is likely to be measured in years.

Susceptible

Susceptible animals are those that develop infection and disease after natural or experimental exposure to MAP (Fig. 3).

Special circumstances

Where objective information is available to increase the level of confidence that MAP is involved, variation in the criteria above that define infected, infectious and diseased are possible, and it is not necessary to prove that mycobacteria are MAP. This is in the context of experimental infection when an animal has been inoculated with or deliberately exposed to MAP, a spectrum of disease has been demonstrated after exposure in the cohort, and mycobacterial agents such as M. bovis are not present in the population. Natural exposure to MAP may be certain, specifically when herd history and expert opinion exists to determine that an animal has been exposed, for example in a herd or flock pasture grazing scenario where there is a high prevalence of infection, or where dairy calves have been exposed to known-infected dams and other mycobacterial diseases are believed not to be present in the population. In these circumstances, AFB observed in tissues or faeces are assumed to be MAP; characteristic histopathological lesions without AFB are assumed to be due to MAP; anti-MAP antibody ELISA positive tests on more than one sampling occasion are assumed to be due to MAP exposure; an animal is assumed to be infectious where a prior faecal culture test was positive and later there are positive faecal smear or PCR results (acknowledging that faecal smear and PCR do not distinguish between live and dead bacteria).

Incorporation of terms in case definitions

To be useful, case definitions should be written using terms that are well understood; the descriptions provided above are designed to this end. In addition, where the results of diagnostic tests are used to assign individuals to categories, these tests must be described, and their accuracy documented. This enables an assessment of the extent to which particular case definitions are based on sound data, are consistent and are likely to be “correct”. For example if the only evidence of paratuberculosis is an ELISA test result, the level of confidence that an animal is infectious is very low, and if the ELISA test result is negative, it should not be assumed that the animal is not infected.

Conclusions

In this paper, we have proposed descriptive terms for inclusion in case definitions for different stages in the pathogenesis of paratuberculosis. This evolved while planning large scale trials and from our perception that there was a need more broadly for discussion leading to consensus regarding the inclusion of information and reporting of case definitions. Our aim is to propose a framework for animal classification and promote further research. The terminology provided here will be useful in diagnostic test evaluations, prevalence studies, certification of disease freedom, studies of vaccine efficacy, genome wide association studies and also in routine diagnosis of paratuberculosis. Considerations such as time, budget and practicality often determine study designs, however, it should be possible to make an independent assessment of the rigor and extent to which case definitions are met in any given study by determining whether definitions for stages of disease have been applied consistently. This will assist in the general interpretation of data between studies, and will facilitate future meta-analyses.

Abbreviations

AFB:

Acid fast bacilli

AFO:

Acid fast organism

DNA:

Deoxyribonucleic acid

ELISA:

Enzyme-linked immunosorbent assay

GWAS:

Genome wide association study

IFN-γ:

Interferon-gamma

MAP:

Mycobacterium avium subsp. paratuberculosis

OIE:

Office International des Epizooties, World Organisation for Animal Health

PCR:

Polymerase chain reaction

qPCR:

Quantitative real time PCR

ZN:

Ziehl Neelsen

References

  1. Daniels MJ, Henderson D, Greig A, Stevenson K, Sharp JM, Hutchings MR. The potential role of wild rabbits Oryctolagus cuniculus in the epidemiology of paratuberculosis in domestic ruminants. Epidemiol Infect. 2003;130(3):553–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Nugent G, Whitford EJ, Hunnam JC, Wilson PR, Cross M, de Lisle GW. Mycobacterium avium subsp. paratuberculosis infection in wildlife on three deer farms with a history of Johne's disease. N Z Vet J. 2011;59(6):293–8.

  3. Kirkwood CD, Wagner J, Boniface K, Vaughan J, Michalski WP, Catto-Smith AG, Cameron DJ, Bishop RF. Mycobacterium avium subspecies paratuberculosis in children with early-onset Crohn's disease. Inflamm Bowel Dis. 2009;15(11):1643–55.

    Article  PubMed  Google Scholar 

  4. McGregor H, Abbott KA, Whittington RJ. Effects of Mycobacterium avium subsp paratuberculosis infection on serum biochemistry, body weight and wool growth in merino sheep: a longitudinal study. Small Rumin Res. 2015;125:146–53.

  5. Bush RD, Windsor PA, Toribio JA, Webster SR. Financial modelling of the potential cost of ovine Johne's disease and the benefit of vaccinating sheep flocks in southern new South Wales. Aust Vet J. 2008;86(10):398–403.

    Article  CAS  PubMed  Google Scholar 

  6. Bush RD, Windsor PA, Toribio JA. Losses of adult sheep due to ovine Johne's disease in 12 infected flocks over a 3-year period. Aust Vet J. 2006;84(7):246–53.

    Article  CAS  PubMed  Google Scholar 

  7. Ott SL, Wells SJ, Wagner BA. Herd-level economic losses associated with Johne's disease on US dairy operations. Preventive Veterinary Medicine. 1999;40(3–4):179–92.

    Article  CAS  PubMed  Google Scholar 

  8. Benedictus G, Dijkhuizen AA, Stelwagen J. Economic losses due to paratuberculosis in dairy cattle. Vet Rec. 1987;121(7):142–6.

    Article  CAS  PubMed  Google Scholar 

  9. Caspersen O. Wasted cows. Emaciated dairy cattle with poor welfare status are a growing problem. [Danish]. Dansk Veterinaertidsskrift. 2003;86:12–4.

    Google Scholar 

  10. Waddell LA, Rajic A, Stärk KDC, McEwen SA. The zoonotic potential of Mycobacterium avium ssp. paratuberculosis: a systematic review and meta-analyses of the evidence. Epidemiol Infect. 2015;143(15):3135–57.

  11. Waddell LA, Rajić A, Stärk KDC, McEwen SA. The potential public health impact of Mycobacterium avium ssp. paratuberculosis: global opinion survey of topic specialists. Zoonoses Public Health. 2016;63(3):212–22.

  12. Vazquez P, Garrido JM, Molina E, Geijo MV, Gomez N, Perez V, Sevilla IA, Alonso-Hearn M, Cortes A, Juste RA. Latent infections are the most frequent form of paratuberculosis in slaughtered Friesian cattle. Span J Agric Res. 2014;12(4):1049.

    Article  Google Scholar 

  13. Whittington RJ, Begg DJ, de Silva K, Plain KM, Purdie AC. Comparative immunological and microbiological aspects of paratuberculosis as a model mycobacterial infection. Vet Immunol Immunopathol. 2012;148(1–2):29–47.

    Article  CAS  PubMed  Google Scholar 

  14. Gurjav U, Jelfs P, Hill-Cawthorne GA, Marais BJ, Sintchenko V. Genotype heterogeneity of Mycobacterium tuberculosis within geospatial hotspots suggests foci of imported infection in Sydney, Australia. Infection Genetics and Evolution. 2016;40:346–51.

  15. Gurjav U, Burneebaatar B, Narmandakh E, Tumenbayar O, Ochirbat B, Hill-Cawthorne GA, Marais BJ, Sintchenko V. Spatiotemporal evidence for cross-border spread of MDR-TB along the trans-Siberian railway line. International Journal of Tuberculosis and Lung Disease. 2015;19(11):1376–82.

    Article  CAS  PubMed  Google Scholar 

  16. Begg DJ, O'Brien R, Mackintosh CG, Griffin JF. Experimental infection model for Johne's disease in sheep. Infect Immun. 2005;73(9):5603–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Solomons RS, Visser DH, Marais BJ, Schoeman JF, van Furth AM. Diagnostic accuracy of a uniform research case definition for TBM in children: a prospective study. International Journal of Tuberculosis and Lung Disease. 2016;20(7):903–8.

    Article  CAS  PubMed  Google Scholar 

  18. De Buck J, Shaykhutdinov R, Barkema HW, Vogel HJ. Metabolomic profiling in cattle experimentally infected with Mycobacterium avium subsp. paratuberculosis. PLoS One. 2014;9(11):e111872.

  19. Stein CM. Genetic epidemiology of tuberculosis susceptibility: impact of study design. PLoS Pathog. 2011;7(1):e1001189.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Wiseman CA, Mandalakas AM, Kirchner HL, Gie RP, Schaaf HS, Walters E, Hesseling AC. Novel application of NIH case definitions in a paediatric tuberculosis contact investigation study. International Journal of Tuberculosis and Lung Disease. 2015;19(4):446–53.

    Article  CAS  PubMed  Google Scholar 

  21. Marais S, Thwaites G, Schoeman J, Esteee Torok M, Misra U, Prasad K, Donald P, Wilkinson R, Marais B. Tuberculous meningitis: a uniform case definition for use in clinical research. Lancet Infect Dis. 2010;10:803–12.

    Article  PubMed  Google Scholar 

  22. Kotilainen H, Valtonen V, Tukiainen P, Poussa T, Eskola J, Jarvinen A. Prognostic value of American Thoracic Society criteria for non-tuberculous mycobacterial disease: a retrospective analysis of 120 cases with four years of follow-up. Scand J Infect Dis. 2013;45(3):194–202.

    Article  PubMed  Google Scholar 

  23. Zare Y, Shook GE, Collins MT, Kirkpatrick BW. Evidence of birth seasonality and clustering of Mycobacterium avium subspecies paratuberculosis infection in US dairy herds. Preventive Veterinary Medicine. 2013;112(3–4):276–84.

  24. Gonda MG, Kirkpatrick BW, Shook GE, Collins MT. Identification of a QTL on BTA20 affecting susceptibility to Mycobacterium avium ssp. paratuberculosis infection in US Holsteins. Anim Genet. 2007;38(4):389–96.

  25. Collins MT, Wells SJ, Petrini KR, Collins JE, Schultz RD, Whitlock RH. Evaluation of five antibody detection tests for diagnosis of bovine paratuberculosis. Clin Diagn Lab Immunol. 2005;12(6):685–92.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Sockett DC, Conrad TA, Thomas CB, Collins MT. Evaluation of 4 serological tests for bovine paratuberculosis. J Clin Microbiol. 1992;30(5):1134–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Osterstock JB, Sinha S, Seabury CM, Cohen ND. Effect of classifying disease states in genetic association studies for paratuberculosis. Preventive Veterinary Medicine. 2010;95(1–2):41–9.

    Article  CAS  PubMed  Google Scholar 

  28. Whittington RJ, Sergeant ES. Progress towards understanding the spread, detection and control of Mycobacterium avium subsp. paratuberculosis in animal populations. Aust Vet J. 2001;79(4):267–78.

    Article  CAS  PubMed  Google Scholar 

  29. Kupper J, Brandt H, Donat K, Erhardt G. Phenotype definition is a main point in genome-wide association studies for bovine Mycobacterium avium ssp. paratuberculosis infection status. Animal. 2014;8(10):1586–93.

  30. Nielsen SS, Toft N. Ante mortem diagnosis of paratuberculosis: a review of accuracies of ELISA, interferon-gamma assay and faecal culture techniques. Vet Microbiol. 2008;129(3–4):217–35.

    Article  CAS  PubMed  Google Scholar 

  31. OIE. Principles and methods of validation of diagnostic assays for infectious diseases. In: Manual of Diagnstic Tests and Vaccines for Terrestrial Animals. Volume 1, edn. Paris: OIE; 2012. p. 34–51.

    Google Scholar 

  32. Kawaji S, Begg DJ, Plain KM, Whittington RJ. A longitudinal study to evaluate the diagnostic potential of a direct faecal quantitative PCR test for Johne's disease in sheep. Vet Microbiol. 2011;148(1):35–44.

    Article  CAS  PubMed  Google Scholar 

  33. Nielsen SS, Toft N, Gardner IA: Structured approach to design of diagnostic test evaluation studies for chronic progressive infections in animals. Veterinary Microbiology 2011(1873–2542 (Electronic)).

  34. Purdie AC, Plain KM, Begg DJ, de Silva K, Whittington RJ: Candidate gene and genome-wide association studies of Mycobacterium avium subsp paratuberculosis infection in cattle and sheep: a review. Comp Immunol Microb 2011, 34(3):197–208.

  35. Kirkpatrick BW, Shi X, Shook GE, Collins MT: Whole-Genome association analysis of susceptibility to paratuberculosis in holstein cattle. Anim Genet 2010, AGE2097 [pii] [doi] https://0-doi-org.brum.beds.ac.uk/10.1111/j.1365-2052.2010.02097.x.

  36. Koets A, Santema W, Mertens H, Oostenrijk D, Keestra M, Overdijk M, Labouriau R, Franken P, Frijters A, Nielen M, et al. Susceptibility to paratuberculosis infection in cattle is associated with single nucleotide polymorphisms in toll-like receptor 2 which modulate immune responses against Mycobacterium avium subspecies paratuberculosis. Preventive Veterinary Medicine. 2010;93(4):305–15.

    Article  CAS  PubMed  Google Scholar 

  37. Pinedo PJ, Buergelt CD, Donovan GA, Melendez P, Morel L, Wu R, Langaee TY, Rae DO. Association between CARD15/NOD2 gene polymorphisms and paratuberculosis infection in cattle. Vet Microbiol. 2009;134(3–4):346–52.

    Article  CAS  PubMed  Google Scholar 

  38. Reddacliff LA, Beh K, McGregor H, Whittington RJ. A preliminary study of possible genetic influences on the susceptibility of sheep to Johne's disease. Aust Vet J. 2005;83(7):435–41.

    Article  CAS  PubMed  Google Scholar 

  39. Settles M, Zanella R, McKay S, Schnabel R, Taylor J, Whitlock R, Schukken Y, Van Kessel J, Smith J, Neibergs H. A whole genome association analysis identifies loci associated with Mycobacterium avium subsp. paratuberculosis infection status in US Holstein cattle. Anim Genet. 2009;40(5):655–62.

    Article  CAS  PubMed  Google Scholar 

  40. McDonald WL, Ridge SE, Hope AF, Condron RJ. Evaluation of diagnostic tests for Johne's disease in young cattle. Aust Vet J. 1999;77:113–9.

    Article  CAS  PubMed  Google Scholar 

  41. Bannantine JP, Talaat AM. Controlling Johne's disease: vaccination is the way forward. Front Cell Infect Microbiol. 2015;5:2.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Windsor PABR, Links I, Eppleston J. Injury caused by self-inoculation with a vaccine of a Freund's complete adjuvant nature (Gudair™) used for control of ovine paratuberculcosis. Aust Vet J. 2005;83(4):216–20.

    Article  CAS  PubMed  Google Scholar 

  43. Reddacliff L, Eppleston J, Windsor P, Whittington R, Jones S. Efficacy of a killed vaccine for the control of paratuberculosis in Australian sheep flocks. Vet Microbiol. 2006;115(1–3):77–90.

    Article  CAS  PubMed  Google Scholar 

  44. Dhand NK, Johnson WO, Eppleston J, Whittington RJ, Windsor PA. Comparison of pre- and post-vaccination ovine Johne's disease prevalence using a Bayesian approach. Prev Vet Med. 2013;111(1–2):81–91.

    Article  PubMed  Google Scholar 

  45. Singh SV, Singh PK, Kumar N, Gupta S, Chaubey KK, Singh B, Srivastav A, Yadav S, Dhama K. Evaluation of goat based 'indigenous vaccine' against bovine Johne's disease in endemically infected native cattle herds. Indian J Exp Biol. 2015;53(1):16–24.

    PubMed  Google Scholar 

  46. Bull TJ, Vrettou C, Linedale R, McGuinnes C, Strain S, McNair J, Gilbert SC, Hope JC. Immunity, safety and protection of an adenovirus 5 prime-modified vaccinia virus Ankara boost subunit vaccine against Mycobacterium avium subspecies paratuberculosis infection in calves. Vet Res. 2014;45:112.

  47. Subharat S, Shu D, Wedlock DN, Price-Carter M, de Lisle GW, Luo D, Collins DM, Buddle BM. Immune responses associated with progression and control of infection in calves experimentally challenged with Mycobacterium avium subsp. paratuberculosis. Vet Immunol Immunopathol. 2012;149(3–4):225–36.

    Article  CAS  PubMed  Google Scholar 

  48. Dennis MM, Reddacliff LA, Whittington RJ. Longitudinal study of clinicopathological features of Johne's disease in sheep naturally exposed to Mycobacterium avium subspecies paratuberculosis. Vet Pathol. 2011;48:565–75.

    Article  CAS  PubMed  Google Scholar 

  49. Begg DJ, Whittington RJ. Experimental animal infection models for Johne's disease, an infectious enteropathy caused by Mycobacterium avium subsp. paratuberculosis. Vet J. 2008;176(2):129–45.

    Article  PubMed  Google Scholar 

  50. de Silva K, Begg DJ, Plain KM, Purdie AC, Kawaji S, Dhand NK, Whittington RJ. Can early host responses to mycobacterial infection predict eventual disease outcomes. Preventive Veterinary Medicine. 2013;112(3–4):203–12.

    Article  PubMed  Google Scholar 

  51. Bannantine JP, Hines ME, Bermudez LE, Talaat AM, Sreevatsan S, Stabel JR, Chang YF, Coussens PM, Barletta RG, Davis WC et al: Rational framework for evaluating the next generation of vaccines against Mycobacterium avium subspecies paratuberculosis. Front Cell Infect Microbiol 2014, 4(SEP).

  52. OIE. Chapter 2.1.11 Paratuberculosis. In: Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. Edn. Paris: OIE. p. 2014.

  53. Eamens G, Marsh I, Plain K, Whittington R. Australian and New Zealand standard diagnostic test protocols. Paratuberculosis (Johne's disease). Subcommittee on Animal Health Laboratory Standards: Canberra; 2016.

    Google Scholar 

  54. Alinovi CA, Ward MP, Lin TL, Moore GE, CC W. Real-time PCR, compared to liquid and solid culture media and ELISA, for the detection of Mycobacterium avium ssp. paratuberculosis. Vet Microbiol. 2009;136(1–2):177–9.

  55. Kostoulas P, Nielsen S, Branscumc A, Johnson W, Dendukurie N, Dhand N, Toft N, Gardner I. STARD-BLCM: standards for the reporting of diagnostic accuracy studies that use bayesian latent class models. Preventive Veterinary Medicine. 2017;138:37–47.

    Article  PubMed  Google Scholar 

  56. Whittington RJ, Marsh I, McAllister S, Turner MJ, Marshall DJ, Fraser CA. Evaluation of modified BACTEC 12B radiometric medium and solid media for culture of Mycobacterium avium subsp. paratuberculosis from sheep. J Clin Microbiol. 1999;37(4):1077–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Whittington RJ. Cultivation of Mycobacterium avium subsp. paratuberculosis. In: Paratuberculosis Organism, Disease, Control. Edn. Edited by Behr MA, Collins DM. Wallingford: CABI; 2010. p. 244–66.

    Chapter  Google Scholar 

  58. Reddacliff LA, Vadali A, Whittington RJ. The effect of decontamination protocols on the numbers of sheep strain Mycobacterium avium subsp. paratuberculosis isolated from tissues and faeces. Vet Microbiol. 2003;95(4):271–82.

    Article  CAS  PubMed  Google Scholar 

  59. Reddacliff LA, Nicholls PJ, Vadali A, Whittington RJ. Use of growth indices from radiometric culture for quantification of sheep strains of Mycobacterium avium subsp. paratuberculosis. Appl Environ Microbiol. 2003;69(6):3510–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Shin SJ, Han JH, Manning EJ, Collins MT. Rapid and reliable method for quantification of Mycobacterium paratuberculosis by use of the BACTEC MGIT 960 system. J Clin Microbiol. 2007;45(6):1941–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Whitlock RH, Hutchinson LT, Sweeney RW, Spencer PA, Rosenberger AE, Van Buskirk MA. Pattern of detection of M. paratuberculosis infected cattle in ten dairy herds cultured every six months for four years. In: Proceedings of the Fourth International Colloquium on Paratuberculosis. Edn. Edited by Chiodini RJ, Collins MT, Bassey EOE. Madison: International Association for Paratuberculosis; 1994. p. 47–53.

  62. Khare S, Ficht TA, Santos RL, Romano J, Ficht AR, Zhang SP, Grant IR, Libal M, Hunter D, Adams LG. Rapid and sensitive detection of Mycobacterium avium subsp. paratuberculosis in bovine milk and feces by a combination of immunomagnetic bead separation-conventional PCR and real-time PCR. J Clin Microbiol. 2004;42(3):1075–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Irenge LM, Walravens K, Govaerts M, Godfroid J, Rosseels V, Huygen K, Gala J-L. Development and validation of a triplex real-time PCR for rapid detection and specific identification of M. avium sub sp. paratuberculosis in faecal samples. Vet Microbiol. 2009;136(1–2):166–72.

  64. Zhang MZ, Zhang S. An efficient DNA extraction method for polymerase chain reaction-based detection of Mycobacterium avium subspecies paratuberculosis in bovine fecal samples. J Vet Diagn Investig. 2011;23(1):41–8.

  65. Plain KM, Marsh IB, Waldron AM, Galea F, Whittington A-M, Saunders VF, Begg DJ, de Silva K, Purdie AC, Whittington RJ. High-throughput direct fecal PCR assay for detection of Mycobacterium avium subsp paratuberculosis in sheep and cattle. J Clin Microbiol. 2014;52(3):745–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Sweeney RW, Collins MT, Koets AP, McGuirk SM, Roussel AJ. Paratuberculosis (Johne's disease) in cattle and other susceptible species. J Vet Intern Med. 2012;26(6):1239–50.

    Article  CAS  PubMed  Google Scholar 

  67. Pitt DJ, Pinch DS, Janmaat A, Condron RJ. An estimate of specificity for a Johne's disease absorbed ELISA in northern Australian cattle. Aust Vet J. 2002;80(1–2):57–60.

    Article  CAS  PubMed  Google Scholar 

  68. Jubb TF, Sergeant ESG, Callinan APL, Galvin JW. Estimate of the sensitivity of an ELISA used to detect Johne's disease in Victorian dairy cattle herds. Aust Vet J. 2004;82(9):569–73.

    Article  CAS  PubMed  Google Scholar 

  69. Begg DJ, de Silva K, Carter N, Plain KM, Purdie A, Whittington RJ. Does a Th1 over Th2 dominancy really exist in the early stages of Mycobacterium avium subspecies paratuberculosis infections. Immunobiology. 2011;216(7):840–6.

    Article  CAS  PubMed  Google Scholar 

  70. Jungersen G, Mikkelsen H, Grell SN. Use of the johnin PPD interferon-gamma assay in control of bovine paratuberculosis. Vet Immunol Immunopathol. 2012;148(1–2):48–54.

    Article  CAS  PubMed  Google Scholar 

  71. Vazquez P, Garrido JM, Juste RA. Specific antibody and interferon-gamma responses associated with immunopathological forms of bovine paratuberculosis in slaughtered Friesian cattle. PLoS One. 2013;8(5)

  72. de Silva K, Begg D, Carter N, Taylor D, Di Fiore L, Whittington R. The early lymphocyte proliferation response in sheep exposed to Mycobacterium avium subsp. paratuberculosis compared to infection status. Immunobiology. 2010;215(1):12–25.

    Article  CAS  PubMed  Google Scholar 

  73. Koo HC, Park YH, Hamilton MJ, Barrington GM, Davies CJ, Kim JB, Dahl JL, Waters WR, Davis WC. Analysis of the immune response to Mycobacterium avium subsp. paratuberculosis in experimentally infected calves. Infect Immun. 2004;72(12):6870–83.

  74. Kurade NP, Tripathi BN, Rajukumar K, Parihar NS. Sequential development of histologic lesions and their relationship with bacterial isolation, fecal shedding, and immune responses during progressive stages of experimental infection of lambs with Mycobacterium avium subsp. paratuberculosis. Vet Pathol. 2004;41(4):378–87.

  75. Whitlock R, Rosenberger A, Sweeney R. In: Chiodini R, Hines M, Collins M, editors. Al e: distribution of M paratuberculosis in tissues of cattle form herds infected with Johne's disease. In: Proceedings of the 5th International Colloquium on Paratuberculosis, Maddison, USA 29 September - 4 October 1996. Edn. Rehoboth: International Association for Paratuberculosis; 1996. p. 168–74.

  76. Abbott KA, Whittington RJ. Monte Carlo simulation of flock-level sensitivity of abattoir surveillance for ovine paratuberculosis. Preventive Veterinary Medicine. 2003;61(4):309–32.

    Article  CAS  PubMed  Google Scholar 

  77. Fodstad FH, Gunnarsson E. Post-mortem examination in the diagnosis of Johne's disease in goats. Acta Vet Scand. 1979;20(2):157–67.

    CAS  PubMed  Google Scholar 

  78. Tafti AK, Rashidi K. The pathology of goat paratuberculosis: gross and histopathological lesions in the intestines and mesenteric lymph nodes. Zentralblatt Fur Veterinarmedizin - Reihe B. 2000;47:487–95.

    CAS  Google Scholar 

  79. Hope AF, Kluver PF, Jones SL, Condron RJ. Sensitivity and specificity of two serological tests for the detection of ovine paratuberculosis. Aust Vet J. 2000;78:850–6.

    Article  CAS  PubMed  Google Scholar 

  80. Cleland PC, Lehmann DR, Phillips PH, Cousins DV, Reddacliff LA, Whittington RJ. A survey to detect the presence of Mycobacterium avium subspecies paratuberculosis in Kangaroo Island macropods. Vet Microbiol. 2010;145(3–4):339–46.

    Article  CAS  PubMed  Google Scholar 

  81. Perez V, Garcia Marin JF, Badiola JJ. Description and classification of different types of lesion associated with natural paratuberculosis infection in sheep. J Comp Pathol. 1996;114(2):107–22.

    Article  CAS  PubMed  Google Scholar 

  82. Gonzalez J, Geijo MV, Garcia-Pariente C, Verna A, Corpa JM, Reyes LE, Ferreras MC, Juste RA, Garcia Marin JF, Perez V. Histopathological classification of lesions associated with natural paratuberculosis infection in cattle. J Comp Pathol. 2005;133(2–3):184–96.

    Article  CAS  PubMed  Google Scholar 

  83. Dennis MM, Antognoli MC, Garry F, Hirst H, Lombard JE, Gould DH, Salman MD. Association of severity of enteric granulomatous inflammation with disseminated Mycobacterium avium subspecies paratuberculosis infection and antemortem test results for paratuberculosis in dairy cows. Vet Microbiol. 2008;131:154–63.

    Article  CAS  PubMed  Google Scholar 

  84. Clark RG, Griffin JF, Mackintosh CG. Johne's disease caused by Mycobacterium avium subsp. paratuberculosis infection in red deer (Cervus Elaphus): an histopathological grading system, and comparison of paucibacillary and multibacillary disease. N Z Vet J. 2010;58(2):90–7.

  85. Clarke CJ, Little D. The pathology of ovine paratuberculosis: gross and histological changes in the intestine and other tissues. J Comp Pathol. 1996;114(4):419–37.

    Article  CAS  PubMed  Google Scholar 

  86. Marshall D, Fraser C, Seaman J, Moloney B, Bailey G. Importance of sample site in histological diagnosis of Johne's disease in sheep. In: Manning E, Collins M, editors. Proceedings of the 6th International Colloquium on Paratuberculosis. Edn. Madison: International Association for Paratuberculosis; 1999. p. 511.

    Google Scholar 

  87. Larsen AB, Merkal RS, Cutlip RC. Age of cattle as related to resistance to infection with Mycobacterium paratuberculosis. Am J Vet Res. 1975;36(3):255–7.

  88. Sweeney RW, Whitlock RH, Rosenberger AE. Mycobacterium paratuberculosis cultured from milk and supramammary lymph nodes of infected asymptomatic cows. J Clin Microbiol. 1992;30:166–71.

    CAS  PubMed  PubMed Central  Google Scholar 

  89. Lyle PAS, Merkal RS. Comparison of ELISA and gel diffusion precipitin tests for paratuberculosis in cattle, sheep and goats. In: Proceedings of the International Colloquium on Research in Paratuberculosis, June 16–18. Merkal RS. Ames, Iowa: National Animal Disease Centre; 1983. p. 109–12.

  90. Juste RA, Garcia Martin JF, de Ocariz CS, Badiola JJ. Experimental infection of vaccinated and non-vaccinated lambs with Mycobacterium paratuberculosis. J Comp Pathol. 1994;110:185–94.

    Article  CAS  PubMed  Google Scholar 

  91. Riemann H, Zaman MR, Ruppanner R, Aalund O, Jorgensen JB, Worsaae H, Behymer D. Paratuberculosis in cattle and free-living exotic deer. J Am Vet Med Assoc. 1979;174:841–3.

    CAS  PubMed  Google Scholar 

  92. Whittington RJ, Reddacliff LA, Marsh I, McAllister S, Saunders V. Temporal patterns and quantification of excretion of Mycobacterium avium subsp paratuberculosis in sheep with Johne's disease. Aust Vet J. 2000;78(1):34–7.

    Article  CAS  PubMed  Google Scholar 

  93. Whittington RJ, Marsh I, Turner MJ, McAllister S, Choy E, Eamens GJ, Marshall DJ, Ottaway S. Rapid detection of Mycobacterium paratuberculosis in clinical samples from ruminants and in spiked environmental samples by modified BACTEC 12B radiometric culture and direct confirmation by IS900 PCR. J Clin Microbiol. 1998;36:701–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  94. Pradhan AK, Mitchell RM, Kramer AJ, Zurakowski MJ, Fyock TL, Whitlock RH, Smith JM, Hovingh E, Van Kessel JA, Karns JS, et al. Molecular epidemiology of Mycobacterium avium subsp. paratuberculosis in a longitudinal study of three dairy herds. J Clin Microbiol. 2011;49(3):893–901.

  95. Begg DJ, de Silva K, Plain KM, Purdie AC, Dhand N, Whittington RJ. Specific faecal antibody responses in sheep infected with Mycobacterium avium subspecies paratuberculosis. Vet Immunol Immunopathol. 2015;166(3–4):125–31.

  96. Reddacliff LA, Whittington RJ. Experimental infection of weaner sheep with S strain Mycobacterium avium subsp. paratuberculosis. Vet Microbiol. 2003;96(3):247–58.

    Article  CAS  PubMed  Google Scholar 

  97. Whitlock RH, Wells SJ, Sweeney RW, Van Tiem J. ELISA and fecal culture for paratuberculosis (Johne's disease): sensitivity and specificity of each method. Vet Microbiol. 2000;77:387–98.

    Article  CAS  PubMed  Google Scholar 

  98. Whitlock R, Sweeney R, Fyock T, Smith J. MAP super-shedders: another factor in the control of Johne's disease. In: Manning E, Nielsen S, editors. Proceedings of the 8th International Colloquium on paratuberculosis. Edn. Madison: International Association for Paratuberculosis; 2005. p. 164.

    Google Scholar 

  99. Begg DJ, de Silva K, Di Fiore L, Taylor DL, Bower K, Zhong L, Kawaji S, Emery D, Whittington RJ. Experimental infection model for Johne's disease using a lyophilised, pure culture, seedstock of Mycobacterium avium subspecies paratuberculosis. Vet Microbiol. 2010;141:301–11.

    Article  CAS  PubMed  Google Scholar 

  100. Roche JR, Dillon PG, Stockdale CR, Baumgard LH, VanBaale MJ. Relationships among international body condition scoring systems. J Dairy Sci. 2004;87(9):3076–9.

    Article  CAS  PubMed  Google Scholar 

  101. Hines ME, 2nd, Stabel JR, Sweeney RW, Griffin F, Talaat AM, Bakker D, Benedictus G, Davis WC, de Lisle GW, Gardner IA et al: Experimental challenge models for Johne's disease: a review and proposed international guidelines. Vet Microbiol 2007, 122(3–4):197–222.

  102. Windsor PA, Whittington RJ. Evidence for age susceptibility of cattle to Johne's disease. Vet J. 2010;184(1):37–44.

    Article  PubMed  Google Scholar 

  103. McGregor H, Dhand NK, Dhungyel OP, Whittington RJ. Transmission of Mycobacterium avium subsp. paratuberculosis: dose–response and age-based susceptibility in a sheep model. Preventive Veterinary Medicine. 2012;107(1–2):76–84.

  104. de Silva K, Begg D, Whittington R. The interleukin 10 response in ovine Johne’s disease. Vet Immunol Immunopathol. 2011;139:10–6.

    Article  CAS  PubMed  Google Scholar 

  105. Mortier RA, Barkema HW, Negron ME, Orsel K, Wolf R, De Buck J. Antibody response early after experimental infection with Mycobacterium avium subspecies paratuberculosis in dairy calves. J Dairy Sci. 2014;97(9):5558–65.

  106. Mortier RA, Barkema HW, Wilson TA, Sajobi TT, Wolf R, De Buck J. Dose-dependent interferon-gamma release in dairy calves experimentally infected with Mycobacterium avium subspecies paratuberculosis. Vet Immunol Immunopathol. 2014;161(3–4):205–10.

  107. van Roermund HJ, Bakker D, Willemsen PT, de Jong MC. Horizontal transmission of Mycobacterium avium subsp. paratuberculosis in cattle in an experimental setting: calves can transmit the infection to other calves. Vet Microbiol. 2007;122(3–4):270–9.

  108. Mortier RAR, Barkema HW, Orsel K, Wolf R, De Buck J. Shedding patterns of dairy calves experimentally infected with Mycobacterium avium subspecies paratuberculosis. Vet Res. 2014;45(1).

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Acknowledgements

The authors are grateful to many field veterinarians, animal health officers, and laboratory technical staff at the University of Sydney who contributed to underlying research projects over many years, ideas from which led to this study.

Funding

This work was supported by The University of Sydney, Meat and Livestock Australia and by the Cattle Council of Australia, Sheepmeat Council of Australia and WoolProducers Australia through Animal Health Australia. None of the funding bodies contributed in any way to the design of the study or the collection, analysis, interpretation of data or writing of the manuscript.

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Data supporting the results can be found in the literature cited in the relevant sections of the paper.

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RW conceived and wrote the manuscript. RW, DB, KDS, AP, ND and KP contributed to and refined the contents during a 10 year research project on paratuberculosis. RW, DB, KDS, AP, ND and KP read, edited and approved the final manuscript.

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Correspondence to R. J. Whittington.

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Whittington, R.J., Begg, D.J., de Silva, K. et al. Case definition terminology for paratuberculosis (Johne’s disease). BMC Vet Res 13, 328 (2017). https://0-doi-org.brum.beds.ac.uk/10.1186/s12917-017-1254-6

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