Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06450964 |
Other study ID # |
PJ2024-02-22 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 1, 2024 |
Est. completion date |
December 31, 2027 |
Study information
Verified date |
June 2024 |
Source |
Anhui Medical University |
Contact |
Dongmei Ji, Dr. |
Phone |
+86-551-6590-8445 |
Email |
jidongmei[@]ahmu.edu.cn |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The goal of this observational study is to provide a reference for clinicians to conduct
genetic counseling and carry out preimplantation genetic testing of mitochondrial patients.
The main questions it aims to answer are:
- The relationship between mitochondrial mutation load and clinical symptom
- The symptomatic threshold of common mitochondrial DNA mutations
- The distribution of mitochondrial mutation load in offspring and genetic rule of
mitochondrial DNA mutation
- The minimum number of eggs taken by preimplantation genetic testing in mitochondrial
mutation carriers Biological samples such as blood, urine, oral epithelial cells, nails,
some granulosa cells, trophoderm cells, embryo culture fluid, embryo biopsy fluid, and
embryo trophoblast cells of the participants will be collected and the mutation loads of
them will be measured. The clinical symptoms and mutation load of the participants will
be followed up once a year.
Description:
A total of 600 carriers of disease-causing mitochondrial DNA mutations will be selected as
the research objects. The basic information, reproductive history, clinical and genetic
diagnosis, and clinical symptoms of the carriers will be investigated by questionnaire.
Biological samples such as blood, urine, oral epithelial cells, nails, some granulosa cells,
trophoderm cells, embryo culture fluid, embryo biopsy fluid, and embryo trophoblast cells of
the participants will be collected and the mutation loads of them will be measured. Placenta
and umbilical cord blood samples of some fetuses will be collected after delivery, and the
mitochondrial DNA mutation heterogeneity level will be determined. Multiple Logistic
regression, Sewell-Wright equation, Kimura equation, binomial distribution model, and machine
learning model will be used to establish a prediction model of the incidence probability of
mitochondrial diseases and predict the onset threshold of common mitochondrial DNA mutations
after standardizing. The distribution model of mitochondrial mutation load in offspring will
be established to predict the maternal genetic risk of mitochondrial DNA mutation. A
prediction model for egg retrieval will be established to estimate the minimum number of eggs
taken by preimplantation genetic testing in mitochondrial mutation carriers. Finally, an
online prediction platform for mitochondrial genetic disease genetic counseling will be
established to provide standardized standards for mitochondrial disease genetic counseling
and PGT.