Construction of hub transcription factor-microRNAs-messenger RNA regulatory network in recurrent implantation failure.

PURPOSE: Recurrent implantation failure (RIF) affects up to 10% of in vitro fertilization (IVF) patients worldwide. However, the pathogenesis of RIF remains unclear. This study was aimed at identifying hub transcription factors (TFs) of RIF in bioinformatics approaches. METHODS: The GSE111974 (mRNA), GSE71332 (miRNA), and GSE103465 (mRNA) datasets were downloaded from the Gene Expression Omnibus database from human endometrial tissue using R version 4.2.1 and used to identify differentially expressed TFs (DETFs), differentially expressed miRNAs, and differentially expressed genes for RIF, respectively. DETFs were subjected to functional enrichment analysis and the protein-protein interaction network analysis using the Search Tool for the Retrieval of Interacting Genes (version 11.5) database. Hub TFs were identified using the cytoHubb plug-in, after which a hub TF-miRNA-mRNA network was constructed using Cytoscape v3.8.2. RESULTS: Fifty-seven DETFs were identified, in which Gene Ontology analysis revealed to be mainly involved in the regulation of transcription. Kyoto Encyclopedia of Genes and Genomes pathway analysis suggested that DETFs were enriched in transcriptional misregulation in cancer, aldosterone synthesis and secretion, AMPK signaling pathway, and cGMP-PKG signaling pathway. EOMES, NKX2-1, and POU5F1 were identified as hub TFs, and a hub TF-miRNA-mRNA regulatory network was constructed using these three hub TFs, four miRNAs, and four genes. CONCLUSION: Collectively, we identified three promising molecular biomarkers for the diagnosis of RIF, which may further be potential therapeutic targets. This study provides novel insights into the molecular mechanisms underlying RIF. However, further experiments are required to verify these results.

Ethnobotanical survey of antifertility medicinal plants in Dali District, Yunnan Province, China.

In recent years, contraceptive medication has been widely used for birth control. It is worth noting that contraceptive medication from botanical source has great potential for clinical use. Yunnan is the province with the most species of plants in China and is known as the "plant kingdom". This study aims to archive herbal remedies traditionally used as antifertility remedies in Dali District, Yunnan Province, P. R. China. The survey was conducted from February 2011 to September 2016 in the population distributed in Dali and the surrounding counties. The data were collected from three groups of practitioners within the study area: therapists using traditional medicines (n = 104), aboriginal families (n = 37), and herbalists in commercial stalls (n = 12), and a total number of 117 plant species were recorded. Among the 117 plant species, 104 of which have been authenticated by a plant taxonomist from the Dali Herbarium. These plants were classified into 98 genera and 54 families, including Leguminosae (12 species), Liliaceae (7 species), Cucurbitaceae, Rosaceae and Rutaceae (5 species, respectively), Malvaceae, Compositae and Euphorbiaceae (4 species, respectively). Our data provides an in-depth delineation of the contraceptive plants used in Dali, which serve as valuable information for the practitioners of traditional Chinese medicine in contraceptive use. In addition, these data also hint that plants from different genus contain contraceptive components, which should be avoided by pregnant women. Future studies are required to identify the active contraceptive components, assess the toxicology, and elucidate the pharmacological mechanism of action.

Association and differentiation of MHC class I and II polymorphic Alu insertions and HLA-A, -B, -C and -DRB1 alleles in the Chinese Han population.

In order to investigate the polymorphism of Alu insertions (POALINs) in the HLA region, we genotyped ten Alu loci (AluMICB, AluTF, AluHJ, AluHG, AluHF in the HLA class I region and AluDPB2, AluDQA2, AluDQA1, AluDRB1, AluORF10 in the HLA class II region) to determine their allele frequencies and associations with the HLA-A, HLA-B, HLA-C and HLA-DRB1 genes in the Chinese Han population. Our results showed the ten-loci POALINs varied in frequency between 0.003 and 0.425. By comparing the data of the ten-loci POALIN in Chinese Han with Japanese and Caucasian data, marked differences were observed between the three ethnic groups at the allelic or haplotypic levels. Each POALIN was in significant linkage disequilibrium with a variety of HLA-A, -B, -C and -DRB1 alleles, and was associated with a variety of HLA-A, -B, -C and -DRB1 allele in Chinese Han. This comparative study of multilocus POALINs in the HLA class I and II regions of the Chinese Han population shows that POALINs alone or as haplotypes together with the HLA class I and II alleles are informative genetic markers for the identification of HLA class I and II allele and variations, such as crossing over events within the same and/or different populations.

Identification of iron metabolism-related predictive markers of endometriosis and endometriosis-relevant ovarian cancer.

Endometriosis is associated with ovarian cancers, mainly endometrioid and clear-cell carcinomas. Iron metabolism has been shown to play a role in endometriosis. Therefore, it is vital to explore the relationship between iron metabolism and ovarian cancer and to identify novel markers for diagnostics and therapeutics. The endometriosis dataset GSE51981 and the ovarian cancer dataset GSE26712 were obtained from the gene expression omnibus database, and differentially expressed genes were identified. Iron metabolism genes were obtained from molecular signatures database, and hub genes from the 3 datasets were obtained. Seven hub genes were identified by bioinformatic analysis, and 3 hub genes (NCOA4, ETFDH, and TYW1) were further selected by logistic regression, which were verified in an independent endometriosis dataset (GSE25628) and ovarian cancer dataset (GSE14407), showing good predictive diagnostic value (area under the receiver operating characteristic curve of 0.88 and 0.9, respectively). Gene Ontology, gene set enrichment analysis, and immune infiltration analysis further confirmed the related functions, pathways, and immune relationship between iron metabolism and ovarian cancer. This study highlights the potential of targeting iron metabolism in the prevention of potential ovarian cancer and in the further exploration of endometriosis and endometriosis-relevant ovarian cancer therapeutics.

Effects of stem cell factor in follicular fluid and granulosa cells on oocyte maturity and clinical pregnancy.

Stem cell factor (SCF) is implicated in cell growth, proliferation, differentiation, migration, and apoptosis. SCF in follicular fluid (FF) and granulosa cells (GCs) plays a key role in oocyte maturation and clinical pregnancy; however, the exact mechanism is unclear. We aimed to investigate SCF potential in predicting oocyte maturity and clinical pregnancy. We collected 60 FF and 60 GCs samples from different patients with infertility. Real-time polymerase chain reaction and cellular immunofluorescence analyses were used to quantitatively and qualitatively determine SCF concentration in GCs; enzyme-linked immunosorbent assay was used to determine SCF concentration in FF. GC and FF SCF concentrations were positively correlated with metaphase (M)II oocyte proportion and clinical pregnancy (R = 0.280, 0.735 vs R = 0.257, 0.354). SCF concentrations in GCs were significantly higher in the clinical pregnancy group than in the nonclinical pregnancy group. Immunofluorescence analysis showed that SCF expression was higher in the clinical pregnancy and high-MII -oocyte proportion groups. Receiver operating characteristic curve analysis showed that combined SCF and serum anti-Müllerian hormone levels could predict oocyte maturity and clinical pregnancy better than either of these factors alone. SCF concentration in GCs and FF can serve as a predictor of oocyte maturity and clinical pregnancy.

[Association between Alu insertion polymorphisms and HLA class I alleles in Chinese Lisu and Nu ethnic populations].

OBJECTIVE: To investigate the frequencies of HLA-Alu repeat polymorphisms (AluMICB, AluTF, AluHJ, AluHG and AluHF) in Chinese Lisu and Nu ethnic populations. METHODS: The frequencies of HLA-Alu repeat polymorphisms in above populations were determined with polymerase chain reaction (PCR). The associations between HLA-Alu repeat polymorphisms and HLA-A, HLA-B and HLA-C alleles were also analyzed. Phylogenetic trees were constructed with genetic distance calculated from the frequencies of HLA-Alu repeat polymorphisms. RESULTS: Frequencies of AluTF*2 and AluHF*2 were different between the two populations (P< 0.05), while those of other three insertions were similar. The strength of association between HLA-Alus and HLA alleles were different (P< 0.05) in the two populations. Although AluMICB*2 were associated with HLA-B*56:01 in both populations, the association was stronger in Lisu population (74.0%) but moderate in Nu population (30.7%). HLA-Alus were associated with particular HLA subtypes, e.g., AluHG*2 with certain HLA-A*02 subtypes. By phylogenetic analysis, Lisu and Nu were clustered together with southern Chinese and Thai populations. CONCLUSION: The distribution of HLA-Alus and the strength of associations between HLA-Alus and HLA class I alleles have varied between the two populations. Study of this association may facilitate identification of origins, evolution, progenitor haplotypes and recombination within the HLA class I region.