Irisin Modulates IFNT Signaling in Bovine Luteal Cells
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Bibliographic record
Abstract
Adipokines, bioactive proteins derived from adipose tissue, serve as intermediaries between energy status and reproduction, playing pivotal roles in ovarian physiology. Among them, members of the Fibronectin Type III domain-containing the (FNDC) family, including FNDC4 and FNDC5 (the precursor of irisin), have emerged as key modulators of fertility. This study investigated the expression of FNDC4, FNDC5, and their receptors (ITGB1, ITGAV, ADGRF5) across different stages of bovine CL lifespan and evaluated irisin's effects on interferon tau (IFNT)-mediated signaling in bovine luteal cells. The relative abundance of FNDC4 and FNDC5 mRNA was significantly greater in Early II, Middle, and Late phases when compared to the Early I. The expression of ITGB1 and ADGRF5 in bovine CL was significantly greater in the Early II, Middle, and Late phases than in the Early I phase, and the abundance of ITGAV mRNA did not differ between the evaluated phases. Also, it was observed that mRNA expression of all evaluated receptors was greater in CL of nonpregnant cows on Day 18 compared to pregnant cows. In vitro experiments demonstrated that irisin treatment enhanced interferon-stimulated genes (ISGs) such as MX1 and MX2 in luteal cells, suggesting irisin potentiates IFNT signaling. Notably, irisin did not alter steroidogenic enzyme expression or affect cell viability, proliferation, or apoptosis markers, indicating its effects are specific to IFNT signaling pathways. The present study shows that the genes FNDC5 and FNDC4 are expressed in the bovine corpus luteum at different stages of development and that irisin increased ISGs expression in bovine luteal cells in vitro. The effects of irisin on CL function may be indirect, as plasma irisin increases during the postpartum negative energy balance in dairy cows. We propose that this is part of a compensatory mechanism to modulate IFNT signaling in CL cells and indirectly improve embryonic signaling mechanisms.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it