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Record W7043112440

Seroprevalence and Titer Concentration Testing for Leptospirosis in Equine

2022· article· en· W7043112440 on OpenAlexaboutno aff

Bibliographic record

VenueMurray State's Digital Commons (Murray State University) · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicLeptospirosis research and findings
Canadian institutionsnot available
FundersZoetis
KeywordsLeptospirosisSeroprevalenceVenipunctureEquine influenzaVaccinationTiterHorseBrucellosisIncidence (geometry)
DOInot available

Abstract

fetched live from OpenAlex

The most common best management practice used to combat diseases in horses is vaccination, which can decrease the incidence or severity of illness. However, the duration of immunity will vary for each vaccination and must be considered for revaccination purposes. Titer concentration, which evaluates antibodies in the blood, may be a helpful way of determining how long an animal has immunity to a disease. Leptospirosis, a zoonotic, bacterial disease, can result in uveitis, potentially leading to blindness, and abortion in mares. One serovar, Leptospirosis pomona (L. pomona), is associated with most cases of clinical disease in horses in North America. There is one approved vaccine, specific for L. pomona, currently available for this disease. The objective of this study was to evaluate the immune response in horses to the L. pomona vaccine. Forty previously unvaccinated horses from the Murray State University Equine Center were used in this study. None had previously documented issues with uveitis or abortion. Blood was drawn and serum removed for evaluation of leptospirosis titers. Horses were then divided into TRT (vaccinated, n=20) or CON (not vaccinated, n=20), and TRT horses were vaccinated for leptospirosis. Blood samples were collected from 37 (TRT n=20; CON n=17) horses 14 d post-vaccination. Horses in the TRT group received booster vaccines 3 weeks after the first vaccination. Blood samples were again collected from 37 horses 14 d post booster. At each collection, 20 ml of blood were collected by jugular venipuncture into 2 red top vacutainers® tubes. Samples were centrifuged and serum removed within 24 hours. Serum was delivered to the Breathitt Veterinary Center and either analyzed within 48 hours or frozen until analysis could be completed. Descriptive statistics were used to evaluate the results. Preliminary results showed a higher seroprevalence of L. pomona in this study (8%, n=3 of 37) when compared to previously published research of unvaccinated horses. Kitson-Piggot and Prescott (1987) found that only 4% of horses in Ontario had a positive titer for L. pomona, and Fagre et al. (2020) found only a 1% incidence for the same serovar in horses in Colorado. Given that the location for horses in the previous studies were spread out over a larger geographical distance than the horses in this study, it is possible that the University horses were concentrated and exposed to a greater degree than horses in the other studies. After the initial vaccination was administered, all horses in the TRT group showed an increase in antibody concentration which resulted in a positive titer for each horse. Titers increased at varying rates, ranging from 1:200 to 1:25600. After receiving the booster vaccination, five TRT horses showed no change in titer, six horses had another increase, and nine horses showed a decrease in titer concentration. No horses showed any signs of illness related to leptospirosis during the study. Further analysis of the results may lead to greater understanding of the equine immune response to this vaccine.

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 score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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
Published2022
Admission routes1
Has abstractyes

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