New strategy for diagnosing embryo implantation potential by combining proteomics and time-lapse technologies
Fertil Steril. Oct.
2015 doi: 10.1016/j.fertnstert.2015.06.032
OBJECTIVE: To develop a diagnostic tool for embryo implantation potential with the use of proteomic fingerprinting combined with time-lapse morphokinetic analysis. DESIGN: Retrospective cohort study. SETTING: University-affiliated private in vitro fertilization center. PATIENT(S): Seventeen infertile patients undergoing intracytoplasmic sperm injection (ICSI) from our ovum donation program. INTERVENTION(S): No patient intervention. We examined morphokinetic data and proteomic data from the spent media of 16 embryos that implanted and 12 embryos that did not implant. MAIN OUTCOME MEASURE(S): We analyzed seven proteins in the embryo spent media-SCF, TNFR1, PIGF-1, IFN-alpha2, IL-6, CXCL13, and GM-CSF-with the use of a bead-based multiplexing technology and combined this data with the exact timing (in hours) of cell cycle duration (cc2), blastomere synchrony (s2), and 5-blastomere cleavage (t5) with the use of an incubator equipped with time-lapse videography. RESULT(S): Logistic regression analysis with the use of the forward-step likelihood selection method revealed that the presence/absence of interleukin (IL) 6 and the duration of cc2 were the most relevant embryo features for embryo selection. We combined these two parameters to obtain a hierarchic model that established four categories (A/B/C/D), based on the presence of IL-6 and a cc2 range of 5-12 hours. A direct relationship was observed between the morphologic categories and implantation rates: Those with the presence of IL-6 and 5-12 h cc2 had significantly higher implantation rates. CONCLUSION(S): The strategy we report here combines time-lapse and proteome analysis to improve embryo selection while minimizing handling and monitoring by the embryologist. Our results describe the utility of a combined biochemical/morphokinetic approach to select embryos for transfer according to their implantation potential. Clinical validation with larger sample sizes is mandatory to confirm the effectiveness of this initial study.