Johnes Disease in Dairy Herds Flashcards

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1
Q

What is Johnes disease

  • other name
  • granulomas
  • initial signs
A
  • aka Paratuberculosis
  • enteritis (inflamation of small intestine) of ruminant animals
  • granulomas: form when immune system attempts to wall off foreign substances but cant eliminate = thickening of intestine, inhibits nutrient absorption
  • initial signs subtle:
    ~ decreased milk yield
    ~ reduced BCS
    ~ low fertility
    ~ roughening of hair/coat
  • many animals removed from herds before diagnosed
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2
Q

Johnes disease - clinical characteristics

A
  • loose manure
  • weight loss
  • chronic and progressive
  • as progress lead to ~ intermandibular odema (bottle jaw) = as a result of protein loss from bloodstream into digestive tract
  • no cure = dehydration, cachexia and death
  • causative bac found on 70% of US dairy farms
  • UK = >50%
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3
Q

What is the bacteria that causes johnes disease and important things about it

A

= Mycobacterium Avium subsp. Paratuberculosis (MAP)

  • difficult to treat e.g mycobacterium bovis
  • genus slow growing, resilient
  • resistant to acids, alkalis and detergents
  • encased by thick layer of mycolic acids = fungus like growth pattern on culture media
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4
Q

Why should we care about johnes disease

A
  • characterised by long incubation periods
    ~ infected between 2 and 10 years before CS apear
    ~ subclinical animals shed MAP into manure and milk, spread througout enviro w/o farmers knowing
  • calves most susceptable (esp via faecal-oral route)
  • MAP often goes undetected - lengthy incubation, intermittent shedding, delay before antibody production (evade diagnostic test detection), variety of other explanations for consequences of subclinical infections
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5
Q

What happens when a stage 3 cow enters farm

A
  • cow has clinical johnes disease
  • other subclinical cows in herd (stage 2) infected and shedding but no CS
  • more cows stage one = infected
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6
Q

Hidden cost of johnes disease

A
  • susceptability to other diseases
  • lose money from
    ~ breeding problems
    ~ decreasd milk production
    ~ loss of investment in infected younstock
    ~ vet costs
    ~ cull rate
    ~ relacement costs
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7
Q

How does MAP enter bulk tank milk supply

A
  • internal route (direct) shed into milk by infected animals
  • enviro route (indirect) faecal contamination during milking
  • MAP can survive pasturation if present at high threshold = >10^3 CFU/L (colony forming units
  • calves sometimes fed bulk milk
  • MAP and potential cause of human chrons disease - important to keep contamination level below threshold
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8
Q

Diagnostic tests for MAP

A
  • ELIZA, PCR, Culture
  • ELIZA = detects MAP antibodies
  • PCR and culture = detect causal organism
  • diagnostic matrices for ante-mortem testing are: serum, milk, feaces (when cow alive)
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9
Q

Limitations of diagnostic tests for map

A
  • culture = takes 16 weeks and alot can go wrong in that time, lacks sensitivity (map fussy about what it requires to grow)
  • ELIZA = lacks sensitivity (no ab production in early stages)
  • PCR = some of targets arnt specific to MAP , found in other mycobacterial species (may give =ve result but actually got diff mycobacterial species), can be bad at differentiating between live and dead bac
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10
Q

Longitudinal relationship between diagnostic tests for MAP (study Beaver) about, what tests used, lack of research

A
  • 14 MAP infected cows on 2 low prevalence dairy herds for 180 days
  • repeated milk and faecal sample measuremens overtime
  • used ELISA, milk and faecal qPCR and faecal culture
  • weekly bulk milk qPCR and bulk milk ELISA
  • qPCR alow to know what bacterial load was rather than just +/-
  • lack of research between tests and majority focus at single point in time across large no. herds and focused on agrement of 2 dichotamus outcomes (+/-) and no adjustment for individual cow/herd characteristics
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11
Q

Problem of making result of diagnostic test dichotemus

A
  • ELIZA ab level
  • scale for all possible eliza values
  • cut off level. after = +ve result
  • 2 ab levels can be very similar but either side of cut off point
  • ab level is continuous scale and should be seen as liklyhood than animal is infected
  • For PCR: sample that has one colony forming unit of MAP = +ve sample
    ~ what use for famrer? inform whether to cull cow depending on level of sheding
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12
Q

Longitudinal relationship between diagnostic tests for MAP (study Beaver) conclusions

A
  • strong associations between milk ELISA, faecal culture and faecal qPCR
  • temporal relationships between faecal shedding and subsequent high ELISA
    ~ spikes in shedding may predict ELISA results taken up to 2 months later
  • bulk tank milk supply never positive (not a main concern for farms with low prevalence of infection
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13
Q

Mathematical Modelling

A

= simplified representation of a complex phenomenon
- SIR model (susceptible, infected, recovered)
- provides an abstraction to reduce a problem to its essential characteristics
~ biology and catagories of infection, catagories of population itself
~ relavent time period
~ main research question

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14
Q

Types of mathmatical models

A
  • Deteminstic:
    ~ parameter values fixed
    ~ describes what happens on average in population
  • Stochastic
    ~ randomness present
    ~ certain perameters vary around given distribution
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15
Q

Benefits of mathematical modeling to study MAP

A
  • (not suitable for real world implementation) But adding years may correspond to a fraction of a second in computation time
  • altering value of a model parameter vs decades of herd monitoring to observe the true impact of control strategy (dont waste time in real world with strategies with no potential)
  • mathematical models may be continuously refined to incorporate new insights and mimic real-word scenarios
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16
Q

Comapritive risk assessmnet for new MAP infections

A
  • study between 3 production types (organis, conventional non-grazing, conventional grazing)
  • cross sectional
  • data from 300 dairy herds
  • production types yet to be compared for johnes transmission risk
  • growing demand for organic products
  • safety of organic dairy practices for MAP control not yet evaluates
  • also looked at conventional herds that use organic practices (grazing)
  • risk factors scored 0-3 (no-high risk)
  • each farm scored on each risk factor, scores tallied
    E.g. calving area
    ~dedicated calving area = 0
    ~ area separate from lactating cows = 1
    ~ area houses sick or lactating cows = 3
  • Results = organic herds had higher total risk scores, esp calving area and pre-weaned calves
17
Q

Why would the calving area of organic herds increase risk of disease transmission (study)

A

(in study)
- 40% allowed calves to nurse
- 89% allowed calves to spend >6hours with dam after birth
~ practices may be important to philosophies of organic dairy farmer
~ perceived and substantiated welfare benefits for cow-calf contact
- control programs consistently recomend prompt cow-calf separation to mitigate spread of MAP bacteria
- studies contradict findings (beaver)
- participation in JD control programs diminished for organic herds = counselled to abandon practices

18
Q

Compound risk factors

A
  • specific interactions may interact, producing synergism of risk (heightened risk)
    goal = evaluate production types based on compaound risk factors (logistic regression, adjustment for herd size, state)
  • e.g. risk of calves remain with dam links to poor hygiene of cows, other animals present at calving and livestock entering from other herds
  • organic herds permiting extended cow-calf contactmore at risk e.g 36x greater odds allowing sick cows in calving area compared to conventional
19
Q

How to reduce risk factors for disease transmission on organic farms

A
  • rather than councle farmers to abandon practices (did not show increased vigilance to prevent risk inflation), advise how to better accommodate practices
    ~ improve calving area hygiene/management
    ~ clean fresh cow udders, improve overall udder hygiene, provide footbaths
    ~ provide dedicated calving area with minimal manure
    = increase participation of organic herds in JD control programs