PSXIV-20 Ovine circulatory markers regulating the acute-phase response of variable stress responding sheep to LPS challenge
Bibliographic record
Abstract
Abstract Pathogens induce neuroendocrine-immune interactions in their hosts, which are a basis to overcome the microbial stressor. These interactions result in individual variation of the hypothalamic-pituitary-adrenal (HPA) axis response and could contribute to variable stress resiliency. In present study, a comprehensive set of circulatory markers was assessed in variable stress responding lambs selected from a population (n = 112) and categorized based on cortisol levels as high (HSR, 336.2 ±27.9 nmol/L, n =12), middle (MSR, 147.3 ±9.5 nmol/L, n =12) and low (LSR, 32.1 ±10.4 nmol/L, n =12) responding phenotypes post LPS challenge (400 ng/kg iv). Blood was collected from the jugular vein at 0 (pre-) and 4 hrs post-LPS challenge to monitor changes in serum with a panel of 15 pro- and anti-inflammatory cytokines and chemokines and 84 miRNAs, and white blood cell (WBC) populations. The HSR had the strongest fever and pro-inflammatory IL-6, IFN-γ cytokine responses compared to MSR and LSR. HSR and MSR had stronger anti-inflammatory IL-10 cytokine and CCL2 chemokine responses than LSR. WBC counts changed between 0 and 4 hrs; however, no differences were detected among the variable stress response groups. Three miRNAs, oar-miR-485-5p (+3.82 folds), oar-miR-1193-5p (+2.43 folds) and oar-miR-3957-5p (+3.14 folds) were significantly (P < 0.05) upregulated, and seven miRNAs, oar-miR-376b-3p (-6.6 fold), oar-miR-376c-3p (3.5 folds), oar-miR-411b-5p (-11.69 folds), (oar-miR-376a-3p (-2.28 fold), oar-miR-376b-3p (-6.08 folds), oar-miR-376c-3p (-2.62 folds), oar-miR-381-3p (-3.85 folds) were downregulated (P < 0.05) in HSR compared to LSR and MSR. Functional analysis of miRNAs revealed their roles in activating TGF-beta signalling, Cytokine receptor interaction and Thyroid signalling pathways in HSR phenotypes indicating a hyper-induced acute-phase response. In summary, these results indicate variation in the acute-phase response to stress, and some of these markers could be used as stress biomarkers. Further investigation is warranted to understand the plausible association of cortisol phenotype with other important traits.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".