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Record W7037654864

Environmental Mycobacteria

2009· dissertation· en· W7037654864 on OpenAlexaboutno aff

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2009
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsParatuberculosisMycobacteriumVirulenceDiseaseIngestionEnteritisGenetic predispositionClinical diseaseManure
DOInot available

Abstract

fetched live from OpenAlex

Johne’s Disease is a debilitating chronic enteritis caused by Mycobacterium avium subsp. paratuberculosis (Map), and has great economic impact on affected dairy farms.1, 2 \nInfection occurs in young calves, by exposure to manure from mature Map-shedding cattle. To reduce infection status on farms, prevention plans are in order, because no treatment is available for Johne’s Disease. Prevention plans for Johne’s disease rely on age-dependent susceptibility, with a cut-off at the age of six months. This cut-off is based on one paper from 1975, where only 9 animals were included in the experiment3. \nIn a clinical trial at the University of Calgary this age dependent susceptibility is being investigated with a larger number of animals: 34 male Holstein-Friesian calves are subject of a research to age- and dose dependent susceptibility to infection with Map. They will be infected with a virulent Map strain at 5 different ages (2 weeks, 3-6-9 and 12 months) with a high-(5 x 109 CFU) and a low inoculum dose (5 x 107 CFU).\nBesides this pathogenic mycobacterium, there are also environmental mycobacteria where young calves are exposed to. These mycobacteria can be found in a wide variety of environmental reservoirs, including natural and municipal water, soils, aerosols and protozoans.4 Because of ingestion and close contact with these reservoirs, environmental mycobacteria can also be found in animals and humans. \nEvidence exists for a cross-reaction in immunity between rapid growing environmental mycobacteria and other pathogenic mycobacterial species (tuberculosis and leprosy) in humans4. That’s why we are interested in the impact of environmental mycobacteria on the infection with Map in calves. \nThere are different protocols known for isolating mycobacteria from water, soil or milk5, 6, but there is none for isolating mycobacteria from faeces. \nThat was the aim of this study: to identify an appropriate protocol to isolate different mycobacteria from faeces. Mycobacterium smegmatis was used as a model for rapid growing mycobacteria. \nUnfortunately, no perfect protocol was found. An important conclusion of this research is that HPC (Hexadecyl Pyridinium Chloride), frequently used to isolate Map from faeces, is not appropriate to isolate environmental mycobacteria, because M. smegmatis does not survive concentrations higher than 0,1%, and other faecal bacteria do.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.143
Teacher spread0.138 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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