Observation of the cervical microbiome in the progression of cervical intraepithelial neoplasia.

OBJECTIVE: Cervical microbial community in the cervical intraepithelial neoplasia and cervical cancer patients was analysed to study its composition, diversity and signalling pathways by high-throughput 16S rDNA sequencing,and the candidate genes associated with occurrence and progression of cervical intraepithelial neoplasia were screened out and the model was established to predict the evolution of cervical intraepithelial neoplasia malignant transformation from the cervical microbial genes aspect. METHODS: Cervical tissues of normal, cervical intraepithelial neoplasia and cervical cancer patients without receiving any treatment were collected. The correlation between candidate genes and cervical intraepithelial neoplasia progression was initially determined by analyzing the microbial flora. Real-time fluorescence quantitative PCR was used to detect the expression of candidate genes in different cervical tissues, ROC curve and logistic regression was used to analyse and predict the risk factors related to the occurrence and progression of cervical intraepithelial neoplasia. Finally, the early warning model of cervical intraepithelial neoplasia occurrence and progression is established. RESULTS: Cervical tissues from normal, cervical intraepithelial neoplasia and cervical cancer patients were collected for microbial community high-throughput 16S rDNA sequencing. The analysis revealed five different pathways related to cervical intraepithelial neoplasia. 10 candidate genes were selected by further bioinformatics analysis and preliminary screening. Real time PCR, ROC curve and Logistic regression analysis showed that human papillomavirus infection, TCT severity, ABCG2, TDG, PCNA were independent risk factors for cervical intraepithelial neoplasia. We used these indicators to establish a random forest model. Seven models were built through different combinations. The model 4 (ABCG2 + PCNA + TDG) was the best early warning model for the occurrence and progression of CIN. CONCLUSIONS: A total of 5 differential pathways and 10 candidate genes related to occurrence and progression of cervical intraepithelial neoplasia were found in cervical microbial community. This study firstly identified the genes from cervical microbial community that play an important role in the occurrence and progression of cervical intraepithelial neoplasia. At the same time, the early warning model including ABCG2 + PCNA+TDG genes provided a new idea and target for clinical prediction and blocking the evolution of cervical intraepithelial neoplasia malignant transformation from the aspect of cervical microbiological related genes.

Synthesis, Characterization, Immune Regulation, and Antioxidative Assessment of Yeast-Derived Selenium Nanoparticles in Cyclophosphamide-Induced Rats.

This article introduces an environmentally friendly and more economical method for preparing red selenium nanoparticles (Se-NPs) with high stability, good biocompatibility, and narrow size using yeast as a bio-reducing agent with high antioxidant, immune regulation, and low toxicity than inorganic and organic Se. The yeast-derived Se-NPs were characterized by scanning electron microscopy, transmission electron microscopy, energy dispersive spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. The results revealed spherical-shaped particles of Se-NPs with an average diameter of 71.14 ± 18.17 nm, an amorphous structure, and surface enhancement with an organic shell layer, that provide precise geometry and stability in the formation of bio-inert gray or black Se-NPs instead of red Se-NPs. Furthermore, the addition of 0.3-0.8 mg/kg Se-NPs in the feed significantly improved the health of mice. As Se-NPs stimulated the oxidative state of mice, it significantly increased the level of GSH-Px, SOD, and AOC, and decreased the level of MDA. The yeast-derived Se-NPs alleviated the immunosuppression induced by cyclophosphamide, whereas protected the liver, spleen, and kidney of mice, stimulated the humoral immune potential of the mice, and significantly increased the levels of I g M, IgA, and I g G. These results indicated that the yeast-derived Se-NPs, as a trace element feed additive, increased the defense of the animal against oxidative stress and infectious diseases and therefore Se-NPs can be used as a potential antibiotic substitute for animal husbandry.

Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

BACKGROUND: To study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models. METHODS: Genemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to verify the differential expression of the identified genes in different tissues. R language was used for predictive model establishment. RESULTS: A total of 10 genes were investigated in this study. A total of 30 cases of cervical squamous cell cancer (SCC), 52 cases of CIN and 38 cases of normal cervix were enrolled. Compared to CIN cases, the age of patients in the SCC group was older, the number of parities was greater, and the percentage of patients diagnosed with CINII+ by TCT was higher. The expression of TGFBR2, CSKN1A1, PRKCI and CTBP2 was significantly higher in the SCC groups. Compared to patients with normal cervix tissue, the percentage of patients who were HPV positive and were diagnosed with CINII+ by TCT was significantly higher. FOXO1 expression was significantly higher in CIN tissue, but TGFBR2 and CTBP2 expression was significantly lower in CIN tissue. The significantly different genes and clinical factors were included in the models. CONCLUSIONS: Combination of clinical and significant genes to establish the random forest models can provide references to predict the occurrence and progression of CIN.

Clinical analysis of HPV58-positive cervical cancer.

OBJECTIVE: To study the clinical features of HPV58-positive cervical cancer. METHODS: A retrospective analysis of 347 patients with HPV58- or HPV16 positive cervical cancer from the Department of Gynecology Tumor of Guangxi Medical University Affiliated Cancer Hospital was performed. Molecular hybridization was used to detect HPV genotypes. The clinical features, including age, pathology, and invasion, were compared between the HPV58 positive and HPV16 positive cervical cancer groups. RESULTS: A total of 347 patients were eligible for this study, and the proportion of patients who were with poorly differentiated cancer (P = 0.015) was significantly higher in the HPV58 positive group. HPV58 positivity was an independent risk factor for poorly differentiated cancer [HR 2.156, 95% confidence interval: 1.167-3.984, P = 0.014]. The percentage of uterus corps invasion is significantly lower in HPV58 (p = 0.041), but HPV58 positivity is the independent risk factor for uterus corps invasion [HR = 3.985, 95% confidence interval: 1.066-14.893, P = 0.040]. The overall survival of HPV58-positive cervical cancer patients with uterine corpus invasion was significantly lower (P = 0.000). The age of patients in the HPV58-positive cervical cancer at advanced stage was significantly older (P = 0.045). CONCLUSIONS: HPV58-positive cervical cancer patients are at higher risk of poorly differentiated cancer and uterus corps invasion. The patients with HPV58 positive cervical cancer with uterus corps invasion may result a worse prognosis.

Correction to: A meta-analysis of the relationship between vaginal microecology, human papillomavirus infection and cervical intraepithelial neoplasia.

[This corrects the article DOI: 10.1186/s13027-019-0243-8.].

A meta-analysis of the relationship between vaginal microecology, human papillomavirus infection and cervical intraepithelial neoplasia.

Microecology is an emerging discipline in recent years. The female reproductive tract is an important microecological region, and its microecological environment can directly affect women's cervical health. This meta-analysis aimed to analyze the effects of vaginal microecology on Human papillomavirus (HPV) infection and cervical intraepithelial neoplasia (CIN). PubMed and Web of Science were systematically searched for eligible publications from January 2000 to December 2017. Articles were selected on the basis of specific inclusion and exclusion criteria. The design and quality of all studies were evaluated using the Newcastle-Ottawa Scale (NOS). Odds ratios (ORs) with a 95% confidence interval (95% CI) were calculated. Thirteen eligible studies were selected to evaluate the association of vaginal microecology with HPV infection and CIN. The factors related to HPV infection were bacterial vaginosis (BV) (OR 2.57, 95% CI 1.78-3.71, P<0.05), Candida albicans (VVC) (OR 0.63, 95% CI 0.49-0.82, P < 0.05), Chlamydia trachomatis (CT) (OR 3.16, 95% CI 2.55-3.90, P < 0.05), and Ureaplasma urealyticum (UU) (OR 1.35, 95% CI 1.20-1.51, P < 0.05). BV was also related to CIN (OR 1.56, 95% CI 1.21-2.00, P < 0.05). This meta-analysis of available literature suggested an intimate association of vaginal microecology and HPV infection with CIN. BV, CT and UU were associated to increased HPV infection, VVC was associated to decreased HPV infection, Lactobacillus is not associated to increased HPV infection, BV was associated to increased CIN development risk. Further large-scale studies are needed to confirm our findings.

Clinical study of a CT evaluation model combined with serum CA125 in predicting the treatment of newly diagnosed advanced epithelial ovarian cancer.

BACKGROUND: The treatment of newly diagnosed advanced epithelial ovarian cancer (EOC) was predicted by an ovarian cancer computed tomography (CT) evaluation model combined with serum CA125. METHODS: Clinical data for 194 patients with advanced EOC treated with neoadjuvant chemotherapy (NACT) combined with interval debulking surgery (IDS) or primary debulking surgery (PDS) were retrospectively analyzed, and the appropriate treatment was predicted by comparing the subgroup differences in intraoperative situations, postoperative situations and survival rates. RESULTS: There were no significant differences with respect to operation time, intraoperative blood loss, ideal tumor cytoreductive rate or postoperative complication rate between the NACT + IDS group and the PDS group with scores less than 5 (score < 5) (p = 0.764, p = 0.504, p = 0.906, p = 0.176). However, there was a statistically significant difference in overall survival rate between the two groups (p = 0.029), with better survival in the PDS group than in the NACT + IDS group. There were significant differences between the NACT + IDS group and the PDS group with scores greater than or equal to 5 (score ≥ 5). The former was better than the latter in terms of operation time, intraoperative blood loss, ideal tumor cytoreductive rate, and postoperative complication rate (p = 0.002, p = 0.040, p = 0.014, p = 0.021). However, there was no significant difference in overall survival rate between the two groups (p = 0.383). CONCLUSIONS: According to the new evaluation system, for a score < 5, we suggest that patients with newly diagnosed advanced EOC undergo PDS; for a score ≥ 5, we recommend NACT + IDS.

Different multiwalled carbon nanotubes-enzyme system and enzymatic activity.

The interactions between enzyme and nanoparticles (NPs) are governed by the key properties of NPs, such as structure, size, surface chemistry, charge, and surface shape. In this report, we compared the effect of oxidized multiwalled carbon nanotubes (OXWNT) and irradiated multiwalled carbon nanotubes (IRWNT) on the enzymatic activity of PchPipA. Both OXWNT and IRWNT decreased the biocatalytic activity of PchPipA to some extent when they were added in the reaction system, while OXWNT exhibited higher inhibition of the activity of PchPipA than IRWNT. These results suggested that the water solubility may be another property that can affect the interaction of bio-macromolecular products and nanoparticles.