Expression of estrogen receptors, PELP1, and SRC in human spermatozoa and their associations with semen quality.
Izabela SkibińskaMirosław AndrusiewiczMagdalena JendraszakAleksandra ŻbikowskaPiotr JedrzejczakMałgorzata KotwickaPublished in: Human cell (2022)
Sperm cells are target cells for both estrogens and xenoestrogens. Due to the specific structure of spermatozoa, these hormonal compounds may act on sperm in a non-genomic mechanism only. However, the ESR-mediated signaling pathways are still poorly understood. In this study, we obtained 119 samples from male participants of Caucasian descent who donated semen for standard analysis. We analyzed gene expression of estrogen receptors (ESR1 and ESR2) and their coregulators-proline-, glutamic acid-, and leucine-rich protein 1 (PELP1), and cellular kinase c-Src (SRC). RNA level was established using reverse-transcribed RNA as a template, followed by a polymerase chain reaction. Proteins' presence was confirmed by western blot and immunocytochemistry techniques. "Normal" values of semen parameters were defined as follows: > 32% sperm with progressive motility, > 4% sperm cells with normal morphology, > 15 × 10 6 sperm per mL, > 58% live spermatozoa and leukocyte amount < 10 6 cells per mL, according to WHO 2010 reference. Semen parameters that deviated from these "normal" values were labeled as "abnormal". Gene expression ratios revealed significant, moderate, and negative correlations for ESR1/ESR2 and weak, negative ESR2/PELP1 correlations in the subgroup of patients with abnormal values of semen parameters. In addition, SRC/PELP1 was moderately and positively correlated in the subgroup with parameters within the reference values established by WHO 2010. Our study showed that both PELP1 scaffolding protein and SRC kinase might influence semen quality via ESRs. It seems that not the expression of a single gene may affect the sperm quality, but more gene-to-gene mutual ratio. Characterization of estrogen-signaling pathway-related genes' modulated expression in sperm cells could aid in better understanding sperm biology and quality.
Keyphrases
- induced apoptosis
- signaling pathway
- estrogen receptor
- gene expression
- cell cycle arrest
- tyrosine kinase
- poor prognosis
- copy number
- endoplasmic reticulum stress
- cell death
- oxidative stress
- metabolic syndrome
- type diabetes
- genome wide
- computed tomography
- escherichia coli
- cell proliferation
- epithelial mesenchymal transition
- randomized controlled trial
- skeletal muscle
- transcription factor
- south africa
- insulin resistance
- data analysis
- peripheral blood
- pet imaging
- genome wide identification