Female Infertility Is Associated with an Altered Expression Profile of Different Members of the Tachykinin Family in Human Granulosa Cells.
Víctor BlascoFrancisco M PintoAinhoa Fernández-AtutxaNicolás Prados DoddManuel Fernández-SánchezLuz CandenasPublished in: Reproductive sciences (Thousand Oaks, Calif.) (2022)
Neurokinin B (NKB) and its cognate receptor, NK3R, play a key role in the regulation of reproduction. NKB belongs to the family of tachykinins, which also includes substance P and neurokinin A, both encoded by the by the gene TAC1, and hemokinin-1, encoded by the TAC4 gene. In addition to NK3R, tachykinin effects are mediated by NK1R and NK2R, encoded by the genes TACR1 and TACR2, respectively. The role of these other tachykinins and receptors in the regulation of women infertility is mainly unknown. We have analyzed the expression profile of TAC1, TAC4, TACR1, and TACR2 in mural granulosa and cumulus cells from women presenting different infertility etiologies, including polycystic ovarian syndrome, advanced maternal age, low ovarian response, and endometriosis. We also studied the expression of MME, the gene encoding neprilysin, the most important enzyme involved in tachykinin degradation. Our data show that TAC1, TAC4, TACR1, TACR2, and MME expression is dysregulated in a different manner depending on the etiology of women infertility. The abnormal expression of these tachykinins and their receptors might be involved in the decreased fertility of these patients, offering a new insight regarding the diagnosis and treatment of women infertility.
Keyphrases
- polycystic ovary syndrome
- insulin resistance
- poor prognosis
- genome wide
- pregnancy outcomes
- genome wide identification
- end stage renal disease
- copy number
- nk cells
- binding protein
- newly diagnosed
- chronic kidney disease
- ejection fraction
- endothelial cells
- adipose tissue
- induced apoptosis
- peritoneal dialysis
- transcription factor
- pregnant women
- dna methylation
- metabolic syndrome
- prognostic factors
- oxidative stress
- cervical cancer screening
- machine learning
- cell cycle arrest
- cell proliferation
- deep learning
- weight gain
- data analysis
- bioinformatics analysis