First Live Birth Rate With eSET After Preimplantation Methylome Screening (PIMS) Versus Conventional In-vitro Fertilization

S

Shandong University

Status

Enrolling

Conditions

DNA Methylation
Reproductive Techniques, Assisted

Treatments

Other: Using morphologic score to select embryos
Other: Using DNA methylome to select embryos

Study type

Interventional

Funder types

Other

Identifiers

NCT05442125
PIMS-IVF

Details and patient eligibility

About

To determine whether using DNA methylome to select embryos can increase the live birth rate.

Full description

The rationale for the study is to establish the risk/benefit ratio of PIMS in women with in vitro fertilization (IVF) treatment, as DNA methylome is a potential biomarker in blastocyst selection in assited reproductive technology (ART). DNA methylation plays an important role during embryogenesis, global abnormal methylome reprogramming often occurs in human embryos, and DNA methylome pattern is associated with live birth rate. However, there is still no technology using DNA methylome as an indicator in preimplantation embryo screening. Recent paper reported that using Pre-implantation Methylome Screening (PIMS) can select embryos with better methylation state and euploid chromosomes. The efficiency of PIMS needs further validation through randomized clinical trial.

Enrollment

1,146 estimated patients

Sex

Female

Ages

20+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Women who plan to undergo IVF/ICSI/PGT-A treatment.
  • Women aged 20 years and older.

b) Women who obtain 2 or more good-quality blastocysts that defined as morphological score of inner cell mass B or A, trophectoderm C or better, and grade 4 or better on Day 5 of embryo culture.

Exclusion criteria

4.2 Exclusion Criteria

  • Women with a uterine cavity abnormality, such as a uterine congenital malformation (uterus unicornate, bicornate, or duplex); untreated uterine septum, submucous myoma, or endometrial polyp(s); or with history of intrauterine adhesions.
  • Women who are indicated and planned to undergo preimplantation genetic testing for structural rearrangements (PGT-SR) or preimplantation genetic testing for monogenic (PGT-M).
  • Women who use donated oocytes or sperm to achieve pregnancy;
  • Women with contraindication for assisted reproductive technology or for pregnancy, such as poorly controlled Type I or Type II diabetes; undiagnosed liver disease or dysfunction (based on serum liver enzyme testing); renal disease or abnormal serum renal function; significant anemia; history of deep venous thrombosis, pulmonary embolus, or cerebrovascular accident; uncontrolled hypertension, known symptomatic heart disease; history of or suspected cervical carcinoma, endometrial carcinoma, or breast carcinoma; undiagnosed vaginal bleeding.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

1,146 participants in 2 patient groups

PIMS group
Experimental group
Description:
Couples in the PIMS group will have up to 6 blastocysts screened with PIMS and a single euploid embryo with the optimal state of whole-genome DNA methylation and the highest morphologic score will be selected for the initial transfer. The optimal state of whole-genome DNA methylation includes methylation level closest to the optimal level (0.26 according to our preliminary results) and proper methylation state for some specific regions.
Treatment:
Other: Using DNA methylome to select embryos
Conventional-IVF group
Active Comparator group
Description:
For women between 20 and 37 years of age,couples in the conventional-IVF group will have a single best blastocyst by morphologic criteria selected for the initial transfer.For women over 37 years old, couples in the PGT-A group will have up to 6 blastocysts tested with PGT-A and a single euploid embryo with the highest morphologic score will be selected for the initial transfer.
Treatment:
Other: Using morphologic score to select embryos

Trial contacts and locations

28

Loading...

Central trial contact

Yuan Gao, Professor

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems