Decoding the Follicular Fluid Microenvironment: Integrative Biomarkers and Multiomics Signatures to Predict IVF...

Area of Science:

• Reproductive Endocrinology
• Biomarker Discovery
• Assisted Reproductive Technology

Background:

• Increasing infertility rates necessitate improved methods for predicting in vitro fertilization and embryo transfer (IVF-ET) success.
• Current methods lack established pregnancy rate prediction for IVF-ET, highlighting the need for novel biomarkers.
• Follicular fluid (FF) is a promising source for biomarkers due to its noninvasive collection during oocyte retrieval and its reflection of follicular status.

Purpose of the Study:

• To review the predictive potential of various biomarkers found in follicular fluid for pregnancy.
• To explore specific FF components including hormones, proteins, growth factors, and omics data for their role in predicting IVF outcomes.

Main Methods:

• Literature review focusing on biomarkers within follicular fluid.
• Analysis of FF components such as hormones, proteins, growth factors, inflammatory markers, oxidative stress markers, metabolomics, and nucleic acids.
• Examination of recent advancements in omics technologies for biomarker identification.

Main Results:

• Follicular fluid contains predictive biomarkers including stem cell factors, interleukin-6, coenzyme Q10, vitamin D, cell-free DNA, and microRNAs within extracellular vesicles.
• Omics approaches have expanded the analysis of FF constituents, aiding in the discovery of potential pregnancy biomarkers.
• Specific FF components show promise in predicting the success of in vitro fertilization (IVF).

Conclusions:

• Follicular fluid offers a valuable resource for identifying biomarkers to predict IVF success.
• Development of reliable FF predictive biomarkers is expected to enhance IVF success rates and embryo selection.
• Utilizing FF biomarkers can lead to improved outcomes in assisted reproductive technologies.