Characteristics of the Follicular Fluid Extracellular Vesicle Molecular Profile in Women in Different Age Groups in ART Programs.
Anastasia SysoevaZumriyat AkhmedovaOksana NepshaNatalya MakarovaDenis N SilachevYulia ShevtsovaKirill GoryunovVictoria KaryaginaAnna BugrovaNatalya StarodubtsevaAnastasia NovoselovaVitaliy ChagovetsElena KalininaPublished in: Life (Basel, Switzerland) (2024)
The aim of this study was to investigate the molecular composition of follicular fluid (FF) extracellular vesicles (EVs) in women of different reproductive ages and its possible relationship to sperm fertilizing ability. FF EVs were obtained by differential centrifugation. The concentration and size distribution of FF EVs were analyzed by nanoparticle tracking analysis. The lipidome and proteome were analyzed by liquid chromatography-mass spectrometry. The isolated FF EVs had a variety of shapes and sizes; their concentration and size distribution did not differ significantly between the age groups. In women younger than 35 years, the concentration of vesicular progesterone was 6.6 times higher than in women older than 35 years, and the total levels of the main lipid classes were increased in younger women. A proteomic analysis revealed that not only FF EV-specific proteins, but also proteins involved in sperm activation were present. New data were obtained on the composition of FF EVs, confirming their importance as molecular indicators of age-related changes in the female reproductive system. In addition, these results shed light on the possible interaction between the FF EVs of women in different age groups and male germ cells. Therefore, studying the transcriptomic and metabolomic profile of FF EVs may be a crucial approach to evaluate the efficacy of ART.
Keyphrases
- polycystic ovary syndrome
- mass spectrometry
- pregnancy outcomes
- liquid chromatography
- cervical cancer screening
- public health
- single cell
- breast cancer risk
- machine learning
- hiv infected
- metabolic syndrome
- insulin resistance
- single molecule
- skeletal muscle
- antiretroviral therapy
- endoplasmic reticulum stress
- rna seq
- fatty acid
- cell death
- artificial intelligence
- tandem mass spectrometry
- big data
- high performance liquid chromatography