Unlocking the Uterine Code: Microbiota, Immune Cells, and Therapy for Recurrent Reproductive Failure.
Svetla BlazhevaSvetlana PachkovaTatyana BodurskaPetar IvanovAlexander BlazhevTzvetan LukanovEmiliana KonovaPublished in: Microorganisms (2024)
The uterine microbiota has been the subject of increasing study, but its interaction with the local immune system remains unclear. Successful embryo implantation relies on endometrial receptivity, which is pivotal for immunological tolerance to fetal antigens and precise regulation of inflammatory mediators. Emerging data suggest a dynamic interplay between endometrial microflora and the immune system, making dysbiosis a potential determinant of pregnancy outcomes. Imbalances in the regulation of immune cells in the endometrium and decidua have been associated with infertility, miscarriage, and obstetric complications. A thorough comprehension of the immune system in the female reproductive tract shows potential for improving women's health and pregnancy outcomes. The objective of this study was to evaluate the patterns of endometrial microbiota in patients with recurrent implantation failure (RIF) and recurrent pregnancy loss (RPL) and to explore their implications for endometrial immune cells and chronic endometritis (CE). Immune cells in biopsies from 107 RIF and 93 RPL patients were examined using flow cytometry. The endometrial microbial composition was analyzed using real-time polymerase chain reaction (RT-PCR). The research uncovered disrupted endometrial microbiota in most women with RIF and RPL, which was often associated with significant effects on lymphocytes, T cells, and uNK cells.
Keyphrases
- pregnancy outcomes
- pregnant women
- endometrial cancer
- flow cytometry
- pulmonary tuberculosis
- healthcare
- public health
- end stage renal disease
- induced apoptosis
- microbial community
- oxidative stress
- polycystic ovary syndrome
- risk assessment
- machine learning
- electronic health record
- newly diagnosed
- ejection fraction
- type diabetes
- human health
- climate change
- skeletal muscle
- deep learning
- adipose tissue
- metabolic syndrome
- prognostic factors
- insulin resistance
- signaling pathway
- drug induced
- ultrasound guided
- big data