HLA-G Expression/Secretion and T-Cell Cytotoxicity in Missed Abortion in Comparison to Normal Pregnancy.
Antonia TerzievaMarina AlexandrovaDiana ManchorovaSergei SlavovLyubomir DjerovTanya DimovaPublished in: International journal of molecular sciences (2024)
The main role of HLA-G is to protect the semi-allogeneic embryo from immune rejection by proper interaction with its cognate receptors on the maternal immune cells. Spontaneous abortion is the most common adverse pregnancy outcome, with an incidence rate between 10% and 15%, with immunologic dysregulation being thought to play a role in some of the cases. In this study, we aimed to detect the membrane and soluble HLA-G molecule at the maternal-fetal interface (MFI) and in the serum of women experiencing missed abortion (asymptomatic early pregnancy loss) in comparison to the women experiencing normal early pregnancy. In addition, the proportion of T cells and their cytotoxic profile was evaluated. We observed no difference in the spatial expression of HLA-G at the MFI and in its serum levels between the women with missed abortions and those with normal early pregnancy. In addition, comparable numbers of peripheral blood and decidual total T and γδT cells were found. In addition, as novel data we showed that missed abortion is not associated with altered extravilous invasion into uterine blood vessels and increased cytotoxicity of γδT cells. A strong signal for HLA-G on non-migrating extravilous trophoblast in the full-term normal placental bed was detected. In conclusion, HLA-G production at the MFI or in the blood of the women could not be used as a marker for normal pregnancy or missed abortions.
Keyphrases
- pregnancy outcomes
- pregnant women
- polycystic ovary syndrome
- peripheral blood
- poor prognosis
- preterm birth
- bone marrow
- risk factors
- stem cell transplantation
- adipose tissue
- low dose
- cervical cancer screening
- binding protein
- machine learning
- breast cancer risk
- body mass index
- cell migration
- physical activity
- long non coding rna
- deep learning
- heat shock
- heat shock protein