The multifaceted mechanisms of Paeoniflorin in the treatment of tumors: State-of-the-Art.

Paeoniflorin is a water-soluble monoterpenoid glycoside that can be derived from multiple herbaceous plants, such as Radix Paeoniae Rubra, Radix Paeoniae Alba, Paeonia suffruticosa and Cimicifugae Foetidae. Multiple studies have suggested that Paeoniflorin possesses an excellent anti-tumor effect in variety of tumors, including liver cancer, gastric cancer, breast cancer, lung cancer, pancreatic cancer, colorectal cancer and bladder cancer. It can induce cell apoptosis, inhibit proliferation, invasion and metastasis via different molecular mechanisms, which are mainly involved in nuclear transcription factor kappα (NF-κB), B-cell lymphoma-2(Bcl-2) family, MicroRNA, neural precursor cell expressed developmentally down-regulated protein 4(NEDD4) signaling pathway, transcription activating factor (STAT3), p21, p53/14-3-3 signaling pathway, transforming growth factor-ß1(TGF-ß1)/Smads signaling pathway, Mitogen-activated protein kinase (MAPK) signaling pathway and Notch-1. Current studies on anti-tumor effect and mechanism of action of Paeoniflorin remain unclear. Therefore, this study reviews the research progress in the anti-tumor effect and mechanism of Paeoniflorin in an attempt to provide a new thought and theoretical basis for further development and clinical application of Paeoniflorin.

A Series of Efficient Umbrella Modeling Strategies to Track Irradiation-Mutation Strains Improving Butyric Acid Production From the Pre-development Earlier Stage Point of View.

Clostridium tyrobutyricum (C. tyrobutyricum) is a fermentation strain used to produce butyric acid. A promising new biofuel, n-butanol, can be produced by catalysis of butyrate, which can be obtained through microbial fermentation. Butyric acid has various uses in food additives and flavor agents, antiseptic substances, drug formulations, and fragrances. Its use as a food flavoring has been approved by the European Union, and it has therefore been listed on the EU Lists of Flavorings. As butyric acid fermentation is a cost-efficient process, butyric acid is an attractive feedstock for various biofuels and food commercialization products. 12C6+ irradiation has advantages over conventional mutation methods for fermentation production due to its dosage conformity and excellent biological availability. Nevertheless, the effects of these heavy-ion irradiations on the specific productiveness of C. tyrobutyricum are still uncertain. We developed non-structured mathematical models to represent the heavy-ion irradiation of C. tyrobutyricum in biofermentation reactors. The kinetic models reflect various fermentation features of the mutants, including the mutant strain growth model, butyric acid formation model, and medium consumption model. The models were constructed based on the Markov chain Monte Carlo model and logistic regression. Models were verified using experimental data in response to different initial glucose concentrations (0-180 g/L). The parameters of fixed proposals are applied in the various fermentation stages. Predictions of these models were in accordance well with the results of fermentation assays. The maximum butyric acid production was 56.3 g/L. Our study provides reliable information for increasing butyric acid production and for evaluating the feasibility of using mutant strains of C. tyrobutyricum at the pre-development phase.

Development of a Modified Score System as Prediction Model for Successful Vaginal Birth After Cesarean Delivery.

This study was designed to establish a modified prediction score system to improve the safety and success rate of vaginal birth after cesarean delivery (VBAC). We recruited 406 patients (between January 2012 and December 2016) and generated a modified score system in predicting the success rate of VBAC. All patients were required to sign informed consent forms. There were 87.2% of patients who had successful VBAC deliveries and 12.8% patients who had repeated cesarean sections. We conducted multivariable logistic regression and found seven variables that were associated with VBAC success, including previous primary indication of cesarean delivery (odds ratio (OR), 2.1; 95% confidence interval (CI), 1.4-3.0), previous vaginal birth history (OR, 2.5; 95% CI, 1.8-3.8), < 40 years of age (OR, 2.1; 95% CI, 1.2-3.3), < 20 kg weight gain (OR, 1.5; 95% CI, 1.2-2.3), no labor induction (OR, 1.9; 95% CI, 1.5-2.9), high score of pelvic/birth weight (OR, 1.4; 95% CI, 1.1-2.1), and Bishop score (OR, 1.3; 95% CI, 1.2-1.4). After adjustment for optimism, the area under the receiver operating characteristic curve (AUC-ROC) was 0.849 (95% CI, 0.78-0.89), and the modified VBAC score was positively correlated with the success rate of trial of labor after cesarean delivery (TOLAC). A valid and useful score system was established to predict VBAC success rate.

Examination of the association of physical activity during pregnancy after cesarean delivery and vaginal birth among Chinese women.

BACKGROUND: The goal was to study whether higher physical activity can increase the success rate of Vaginal Birth after Cesarean Delivery (VBAC). METHODS: We enrolled 823 patients with previous cesarean section delivery history (between January 2015 and December 2017) and measured their physical activity during pregnancy. A final number of 519 patients were included for the trial of labor after cesarean delivery (TOLAC). All patients signed informed consent forms. RESULTS: We conducted bivariate analyses and identified that several variables were associated with successful VBAC: Prior history of vaginal birth (odds ratio [OR] 2.4, 95% CI 1.8-3.9); previous indication for primary cesarean delivery (OR 2.2, 95% CI 1.5-3.0); age younger than 40 years (OR 2.1, 95% CI 1.3-3.4); Weight gain less than 20 kg (OR 1.5, 95% CI 1.3-2.4); high pelvic/birth weight score (OR 1.4, 95% CI 1.1-2.0); no induction of labor (OR 1.9, 95% CI 1.4-2.8); and estimated prenatal fetal weight (OR 1.4, 95% CI 1.2-1.5). We also found that the bivariate association between physical activity and VBAC was significant (p = 0.002). In addition, there was higher odds of VBAC in women who had active physical activity of more than 150 min/week (adjusted OR 1.86, 95% CI 1.69-2.07). Lower odds of VBAC was associated with older age, weight gain during pregnancy, induction of labor, and having estimated prenatal fetal weight more than 3500 g. CONCLUSION: Physical activity during pregnancy may influence the success rate of VBAC in Chinese women. Future studies will be needed to prove the robustness of this association using more detailed exposure and outcome definitions.

MRI appearances of mucinous borderline ovarian tumors: pathological correlation.

PURPOSE: The purpose of this study is to evaluate the MRI features of mucinous borderline ovarian tumors (MBOT). MATERIALS AND METHODS: MRI morphology of 30 MBOT proven MBOT by surgery and pathology was retrospectively studied and correlated with the histopathological findings. On MRI, tumors were classified into three morphological categories: (i) unilocular cyst in five (17%) tumors. (ii) multilocular cyst in 23 (76%) tumors. (iii) solid mass in 2 (7%) tumors. MRI features of tumors were identified including the multilocularity (23/30, 77%), honeycomb loculi (15/30, 50%), signal discrepancy (different signal intensity on T1WI and T2WI) (19/30, 63%), thickened wall or septa (>3 mm) (16/30, 53%). RESULTS: Intestinal type and endocervical type of MBOT, two distinctly histologic subtypes, were found in 20 (67%) and 10 (33%) tumors respectively. There were a higher prevalence of multilocularity (P = 0.026), honeycomb loculi (P = 0.025), and signal discrepancy (P = 0.024) in intestinal type than endocervical type of MBOT. CONCLUSION: Typical MRI features of MBOT are large multilocular tumors with honeycomb loculi, heterogeneous signal intensity of the loculi, and thickened wall or septa.

Ovarian Sertoli-Leydig cell tumors: MRI findings and pathological correlation.

BACKGROUND: To investigate the magnetic resonance imaging (MRI) characteristics of ovarian Sertoli-Leydig cell tumors (SLCT). METHODS: The clinical, MRI and pathological findings of five cases of SLCT were reviewed retrospectively. MRI appearances of tumors including laterality, shape and size, architecture, wall, septa and vegetation, signal intensity and contrast-enhancement pattern were evaluated and correlated with pathological findings. RESULTS: Two tumors were solid which appeared as low signal intensity on T1-weighted imaging (T1WI) and moderate on T2-weighted imaging (T2WI) with multiple small cysts in one of them. The remaining three SLCT were multilocular cystic with the irregularly thickened wall and septa, and with solid area and mural nodules in one of them. The cystic components had the same signal intensity as urine. All the solid components were intensely enhanced after administration of contrast medium. All five tumors were pathologically intermediate differentiation and at FIGO stage I. CONCLUSIONS: SLCT demonstrate variable MRI morphological appearances. However, the irregularly thickened wall and septa, the moderate T2WI signal intensity and obvious enhancement in the solid components are three MRI features.

Lactacystin stimulates stellation of cultured rat cortical astrocytes.

Proteasome inhibition has been observed in many neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease. Here, the effect of proteasome inhibition on the morphology of cultured rat cortical astrocytes was investigated. Increasing evidence suggests that the function of astrocytes is related closely to its morphology. Lactacystin, a specific inhibitor of the 20S proteasome, can induce astrocytes stellation in a dose dependent manner and reorganize the cytoskeleton of astrocytes. Furthermore, decreased levels of expression of Rho A, total Akt, and Phospho-Akt were found in the process of astrocytes stellation and lysophosphatidic acid, an activator of Rho A, can largely reverse the astrocytes stellation caused by lactacystin. This suggests that proteasome inhibition in astrocytes could stabilize signals of morphological changes that might be processed through Rho and Akt signaling cascade. Our results suggest that proteasome inhibition might function as a factor regulating astrocytes morphology in some pathophysiological conditions.