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Record W2253635334 · doi:10.3168/jds.2015-10363

Short communication: Ovine leukocyte telomere length is associated with variation in the cortisol response to systemic bacterial endotoxin challenge

2016· article· en· W2253635334 on OpenAlexafffund
Linda Yip, Se-Young Oh, Zhonggai Li, Qiumei You, V. M. Quinton, G. C. Gilchrist, Niel A. Karrow

Bibliographic record

VenueJournal of Dairy Science · 2016
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsTelomereStressorLongevityBiologyFight-or-flight responsePhysiologyInternal medicineEndocrinologyGeneticsMedicineDNAGene

Abstract

fetched live from OpenAlex

Stress has been associated with biological aging and numerous age-related diseases. This may be due, in part, to accelerated shortening of telomeres, which are critical genomic structures that cap and protect chromosomal ends. Dysfunction of the hypothalamic-pituitary-adrenal axis may indirectly contribute to telomere shortening if an animal reacts too strongly or weakly to a stressor, leading to accelerated biological aging. In this study, outbred Rideau-Arcott sheep were stress challenged with Escherichia coli endotoxin and classified as high, middle, or low cortisol responders to investigate a potential relationship between cortisol response and age, and telomere length. In the present study, no association was found between age and telomere length. The study, however, revealed shorter telomeres in high and low cortisol responders compared with the middle cortisol responders, which suggests that health and longevity may be compromised in extreme high- and low-stress-responding sheep.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Dairy Science→Same topicTelomeres, Telomerase, and Senescence→French-language works237,207→