The role of lymphocytic cells in infertility and reproductive failures in women with antiphospholipid antibodies.

BACKGROUND: The problem of pregnancy losses and infertility in autoimmune pathology is one of the most urgent problems of modern reproductive medicine. Antiphospholipid antibodies (aPL) are very often connected with reproductive failures such as miscarriage, antenatal fetal death, preeclampsia and even infertility and failure of in vitro fertilization (IVF) program. AIM: To evaluate the difference in immune status of aPL-positive women with infertility compared to healthy women and explain the possible mechanism of pathological effects of aPL, a correlation analysis between the level of aPL and the lymphocytes subpopulation was performed. STUDY DESIGN: We observed 280 women of reproductive age. Of these, 191 who met the inclusion and exclusion criteria were included in the study. All 191 women were tested for lupus anticoagulant (LA), antibodies (isotypes IgG, IgM) to cardiolipin (aCL), ß2-glycoprotein-1 (b2-GpI). Of these, 128 women had high level of aPL. The subpopulation of lymphocyte in aPL-positive women was compared with healthy women without reproductive pathology. RESULTS: In women with aPL, the absolute number of CD3+ lymphocytes, cytotoxic lymphocytes CD3+CD8+, T helpers CD3+CD4+, and the absolute levels of NK-cells and NK T-cells were significantly lower. In women with infertility and aPL circulation, we found the significantly higher absolute and relative level of CD19+ lymphocytes compared with healthy women. CONCLUSION: T-regulatory cells play an important role in inducing tolerance to fetal alloantigens and limiting the intensity of the immune response. NK cells play an important role in processes of trophoblast invasion and spiral artery remodeling. Significantly reduced level of T-cells found in women with aPL may be associated with insufficient decidualization of endometrium for embryo invasion, which is clinically manifested by IVF failure.

High-Throughput Sequencing of Circulating MicroRNAs in Plasma and Serum during Pregnancy Progression.

Although circulating microRNAs (miRNAs) in maternal blood may play an important role in regulation of pregnancy progression and serve as non-invasive biomarkers for different gestation complications, little is known about their profile in blood during normally developing pregnancy. In this study we evaluated the miRNA profiles in paired plasma and serum samples from pregnant women without health or gestational abnormalities at three time points using high-throughput sequencing technology. Sequencing revealed that the percentage of miRNA reads in plasma and serum decreased by a third compared to first and second trimesters. We found two miRNAs in plasma (hsa-miR-7853-5p and hsa-miR-200c-3p) and 10 miRNAs in serum (hsa-miR-203a-5p, hsa-miR-495-3p, hsa-miR-4435, hsa-miR-340-5p, hsa-miR-4417, hsa-miR-1266-5p, hsa-miR-4494, hsa-miR-134-3p, hsa-miR-5008-5p, and hsa-miR-6756-5p), that exhibit level changes during pregnancy (p-value adjusted < 0.05). In addition, we observed differences for 36 miRNAs between plasma and serum (p-value adjusted < 0.05), which should be taken into consideration when comparing the results between studies performed using different biosample types. The results were verified by analysis of three miRNAs using qRT-PCR (p < 0.05). The present study confirms that the circulating miRNA profile in blood changes during gestation. Our results set the basis for further investigation of molecular mechanisms, involved in regulation of pregnancy, and the search for biomarkers of gestation abnormalities.

Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome).

BACKGROUND: Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. RESULTS: The use of ANDSystem, Pathway Studio and STRING computer tools based on text-mining and database-mining approaches allowed us to reconstruct associative networks, representing molecular genetic interactions between genes, associated concurrently with comorbid disease pairs, including pre-eclampsia, diabetes mellitus, gestational diabetes and obesity. It was found that these associative networks statistically differed in the number of genes and interactions between them from those built for randomly chosen pairs of diseases. The associative network connecting all four diseases was composed of 16 genes (PLAT, ADIPOQ, ADRB3, LEPR, HP, TGFB1, TNFA, INS, CRP, CSRP1, IGFBP1, MBL2, ACE, ESR1, SHBG, ADA). Such an analysis allowed us to reveal differential gene risk factors for these diseases, and to propose certain, most probable, theoretical mechanisms of pre-eclampsia development in pregnant women. The mechanisms may include the following pathways: [TGFB1 or TNFA]-[IL1B]-[pre-eclampsia]; [TNFA or INS]-[NOS3]-[pre-eclampsia]; [INS]-[HSPA4 or CLU]-[pre-eclampsia]; [ACE]-[MTHFR]-[pre-eclampsia]. CONCLUSIONS: For pre-eclampsia, diabetes mellitus, gestational diabetes and obesity, we showed that the size and connectivity of the associative molecular genetic networks, which describe interactions between comorbid diseases, statistically exceeded the size and connectivity of those built for randomly chosen pairs of diseases. Recently, we have shown a similar result for inversely comorbid diseases. This suggests that comorbid and inversely comorbid diseases have common features concerning structural organization of associative molecular genetic networks.