Irisin and the fibronectin type III domain-containing family: structure, signaling and role in female reproduction
Bibliographic record
Abstract
Dietary stress such as obesity and short-term changes in energy balance can disrupt ovarian function leading to infertility. Adipose tissue secretes hormones (adipokines), such as leptin and adiponectin, that are known to alter ovarian function. Muscles can also secrete endocrine factors, and one such family of myokines, the eleven Fibronectin type III domain-containing (FNDC) proteins, is emerging as important for energy sensing and homeostasis. In this review, we summarize the known roles the FNDC proteins play in energy homeostasis and explore potential impacts on fertility in females. The most well-known member, FNDC5, is the precursor of the 'exercise hormone', irisin, secreted by both muscle and adipose tissue. The receptors for irisin are integrins, and it has recently been shown to alter steroidogenesis in ovarian granulosa cells although the effects appear to be species or context specific, and irisin may improve uterine and placental function in women and rodent models. Another member, FNDC4, is also cleaved to release a bioactive protein that modulates insulin sensitivity in peripheral tissues and whose receptor, ADGRF5, is expressed in the ovary. As obese women and farm animals in negative energy balance (NEB) both have altered insulin sensitivity, secreted FNDC4 may impact ovarian function. We propose a model in which NEB or dietary imbalance alters plasma irisin and secreted FNDC4 concentrations, which then act on the ovary through their cognate receptors to reduce granulosa cell proliferation and follicle health. Research into these molecules will increase our understanding of energy sensing and fertility and may lead to new approaches to alleviate post-partum infertility. In Brief: Hormones secreted by muscle cells (myokines) are involved in the adaptive response to nutritional and metabolic changes. In this review, we discuss how one family of myokines may alter fertility in response to sudden changes in energy balance.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".