Local regulation of antral follicle development and ovulation in monovulatory species.
Fabiane Pereira de MoraesDaniele MissioJessica LazzariMonique Tomazele RovaniRogério FerreiraPaulo Bayard Dias GonçalvesBernardo Garziera GasperinPublished in: Animal reproduction (2023)
The identification of mutations in the genes encoding bone morphogenetic protein 15 (BMP15) and growth and differentiation factor 9 (GDF9) associated with phenotypes of sterility or increased ovulation rate in sheep aroused interest in the study of the role of local factors in preantral and antral folliculogenesis in different species. An additive mutation in the BMP15 receptor, BMPR1b, which determines an increase in the ovulatory rate, has been introduced in several sheep breeds to increase the number of lambs born. Although these mutations indicate extremely relevant functions of these factors, the literature data on the regulation of the expression and function of these proteins and their receptors are very controversial, possibly due to differences in experimental models. The present review discusses the published data and preliminary results obtained by our group on the participation of local factors in the selection of the dominant follicle, ovulation, and follicular atresia in cattle, focusing on transforming growth factors beta and their receptors. The study of the expression pattern and the functionality of proteins produced by follicular cells and their receptors will allow increasing the knowledge about this local system, known to be involved in ovarian physiopathology and with the potential to promote contraception or increase the ovulation rate in mammals.
Keyphrases
- polycystic ovary syndrome
- mesenchymal stem cells
- electronic health record
- systematic review
- healthcare
- binding protein
- big data
- risk assessment
- adipose tissue
- machine learning
- type diabetes
- physical activity
- insulin resistance
- pulmonary arterial hypertension
- oxidative stress
- genome wide
- pulmonary hypertension
- human health
- preterm infants
- gestational age
- low birth weight
- artificial intelligence
- climate change