[Infection and distribution characteristics of HPV of middle-aged and elderly women from a certain hospital in Guangxi Zhuang Autonomous Region from 2018 to 2020].

Objectives: To analyze the type and distribution characteristics of human papillomavirus (HPV) infection along with cervical cytology in middle-aged and elderly women in Guangxi and to provide a basis for the prevention and treatment of cervical cancer in elderly women. Methods: 21 subtypes of HPV and cervical cytology of women over 45-year-old visiting the First Affiliated Hospital of Guangxi Medical University from January 2019 to December 2020 were collected. They were divided into two groups by age, 45-64 years group and over 65 years group. The HPV, HR-HPV, and multiple HPV infection prevalence were analyzed, as well as HPV genotypes, the age distribution of HPV infection rate, and cervical cytology. Results: A total of 6 657 eligible women were included. 6 238 women were in the 45-64 years group, with a HPV prevalence about 20.86% (1 301), while 419 women were in the over 65 years group, with a HPV prevalence about 32.94% (138). The age-associated HPV and HR-HPV prevalence increased with the age, peaking at the age group of 70-74 years (P<0.001). The most prevalent genotype was HPV52, and the infection rate was 5.3% (353), followed by HPV16 and HPV 58, about 4.63% (308) and 3.08% (205) respectively. The majority cytology of HPV-positive middle-aged and elderly women was normal. 8.70% (88) of them were ASC-US, 6.52% (66) for HSIL, 4.55% (46) for LSIL, and 2.96% (30) for ASC-H, and 0.10% (1) for SCC. Compared to middle-aged women, elderly women had a lower negative cytology rate, 69.79% (67) vs. 77.95% (714), but a higher HSIL rate, 13.54% (13) vs. 5.79% (53) (P<0.05). Conclusions: HPV and HR-HPV prevalence of elderly women in a medical center of Guangxi are higher than those of middle-aged women. The most prevalent genotype is HPV16 in elderly women, followed by HPV52 and HPV58.

[Potential mechanism of transcription factor peroxisome proliferator-activated receptor-gamma coactivator-1 beta on promoting osteoclastogenesis].

Objective: To investigate the role of transcription factor peroxisome proliferator-activated receptor-gamma coactivator-1 beta (PGC-1ß) on osteoclastogenesis and related regulatory mechanism in the mouse monocyte-macrophage cell line (RAW264.7). Methods: PGC-1ß expression and location in RAW264.7 cells was detected by immunofluorescence, flow cytometry and western blot analysis with nuclear protein extraction. RAW264.7 cells were transfected with lentivirus for gene silencing or over-expression of PGC-1ß and cultured with macrophage colony-stimulating factor and receptor activator for nuclear factor-κB ligand. Cell viability was detected by cell counting kit-8. Cell apoptosis and cell cycle were detected by flow cytometry. Mature osteoclasts and their bone resorption activity were determined by tartrate-resistant acid phosphatase (TRAP) expression and toluidine blue staining. Western blot analysis was performed for detecting dendritic cell-specific transmembrane protein (DC-STAMP), cathepsin K, TRAP and matrix metalloproteinase (MMP)-9 expression, as well as cytoplasmic NF-κB-inducing kinase (NIK) and nuclear RelB. Results: PGC-1ß expression was observed in the nuclei of RAW264.7 cells. Down-regulation or overexpression of PGC-1ß in RAW264.7 cells did not affect cell viability, apoptosis or cell cycle. Down-regulation of PGC-1ß decreased the count of mature osteoclasts (49±21 cells vs. 147±42 cells, P=0.004) and the pit area of bone resorption lacunae (42.11µm(2)±11.30 µm(2) vs. 204.80µm(2)±31.09 µm(2), P<0.001), as well as the expression of cathepsin K, TRAP and MMP-9, but not DC-STAMP. Overexpression of PGC-1ß promoted osteoclast differentiation and bone resorption activity, as well as the expression of cathepsin K, TRAP and MMP-9. Down-regulation of PGC-1ß suppressed the protein expression of cytoplasmic NIK and nuclear RelB in RAW264.7 cells. Conclusion: PGC-1ß can promote the differentiation of RAW264.7 into osteoclasts and improve the bone resorption ability of the cells via activation of NIK/RelB pathway, which might be a promising therapeutic target for osteoporosis.

An integrated mathematical model of thrombin-, histamine-and VEGF-mediated signalling in endothelial permeability.

BACKGROUND: Endothelial permeability is involved in injury, inflammation, diabetes and cancer. It is partly regulated by the thrombin-, histamine-, and VEGF-mediated myosin-light-chain (MLC) activation pathways. While these pathways have been investigated, questions such as temporal effects and the dynamics of multi-mediator regulation remain to be fully studied. Mathematical modeling of these pathways facilitates such studies. Based on the published ordinary differential equation models of the pathway components, we developed an integrated model of thrombin-, histamine-, and VEGF-mediated MLC activation pathways. RESULTS: Our model was validated against experimental data for calcium release and thrombin-, histamine-, and VEGF-mediated MLC activation. The simulated effects of PAR-1, Rho GTPase, ROCK, VEGF and VEGFR2 over-expression on MLC activation, and the collective modulation by thrombin and histamine are consistent with experimental findings. Our model was used to predict enhanced MLC activation by CPI-17 over-expression and by synergistic action of thrombin and VEGF at low mediator levels. These may have impact in endothelial permeability and metastasis in cancer patients with blood coagulation. CONCLUSION: Our model was validated against a number of experimental findings and the observed synergistic effects of low concentrations of thrombin and histamine in mediating the activation of MLC. It can be used to predict the effects of altered pathway components, collective actions of multiple mediators and the potential impact to various diseases. Similar to the published models of other pathways, our model can potentially be used to identify important disease genes through sensitivity analysis of signalling components.

Identifying Novel Type ZBGs and Nonhydroxamate HDAC Inhibitors Through a SVM Based Virtual Screening Approach.

Histone deacetylase inhibitors (HDACi) have been successfully used for the treatment of cancers and other diseases. Search for novel type ZBGs and development of non-hydroxamate HDACi has become a focus in current research. To complement this, it is desirable to explore a virtual screening (VS) tool capable of identifying different types of potential inhibitors from large compound libraries with high yields and low false-hit rates similar to HTS. This work explored the use of support vector machines (SVM) combined with our newly developed putative non-inhibitor generation method as such a tool. SVM trained by 702 pre-2008 hydroxamate HDACi and 64334 putative non-HDACi showed good yields and low false-hit rates in cross-validation test and independent test using 220 diverse types of HDACi reported since 2008. The SVM hit rates in scanning 13.56 M PubChem and 168K MDDR compounds are comparable to HTS rates. Further structural analysis of SVM virtual hits suggests its potential for identification of non-hydroxamate HDACi. From this analysis, a series of novel ZBG and cap groups were proposed for HDACi design.