Early protein profile of human embryonic secretome

Carlo Foresta1, Filippo Maria Ubaldi2, Laura Rienzi2

  • 1University of Padova, Department of Medicine & Andrology and Reproductive Medicine Unit, 35128, Padova, Italy, carlo.foresta@unipd.it.

Insights

Analyzing human embryo secretomes using proteomics reveals distinct protein patterns. These patterns correlate with embryo development and implantation success, offering new insights beyond traditional morphology assessment in assisted reproductive technology.

Area of Science:

  • Proteomics
  • Embryology
  • Assisted Reproductive Technology (ART)

Background:

  • Current in vitro fertilization (IVF) embryo assessment relies on morphology, which has limitations, as over 70% of embryos fail to implant.
  • There is a need for improved methods to predict embryo viability and implantation potential.

Purpose of the Study:

  • To investigate the potential of embryo secretome proteomics for assessing human embryo quality.
  • To identify protein biomarkers in conditioned medium associated with embryo development and implantation success.

Main Methods:

  • High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was used to analyze the conditioned medium from 50 human embryos at day 3 of in vitro culture.
  • Protein identification and quantification were performed, followed by validation using protein arrays.
  • Unsupervised hierarchical cluster analysis and multiple linear regression were employed to analyze protein spectra and identify predictive markers.

Main Results:

  • 70 proteins were identified in the conditioned medium of 48 embryos, with high overlap between HPLC-MS/MS and protein array validation (72-78%).
  • Embryos were classified into 3 clusters based on protein profiles; one lacked cell death proteins, another lacked cell development proteins.
  • Embryos with faster development to the 5-cell morula stage and lower implantation rates segregated into the cluster lacking cell development proteins (P=0.047).
  • Twelve predictive proteins for successful embryo transfer were identified (P < 0.05).

Conclusions:

  • Proteomic analysis of the human embryo secretome provides valuable insights into embryo physiology.
  • Secretome proteomics can potentially improve the prediction of embryo implantation potential, enhancing assisted reproductive technology outcomes.
  • This approach offers a novel method for embryo assessment beyond morphological evaluation.

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