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as more involved enzymes which significantly correlated to TCS biodegradation by T. versicolor and P. ostreatus, respectively.
P. ostreatus might be considered as efficient fungus in biodegradation of high amount of TCS in environmental matrices. The results of the present study might provide insights for future investigations on potential of fungi for applications in bioaugmentation-based strategies to remove TCS from wastewater and activated sludge.
P. ostreatus might be considered as efficient fungus in biodegradation of high amount of TCS in environmental matrices. The results of the present study might provide insights for future investigations on potential of fungi for applications in bioaugmentation-based strategies to remove TCS from wastewater and activated sludge.
Radiotherapy for breast cancer can increase the risks of heart disease. Patient-specific risk assessment may be improved with the inclusion of doses to cardiac substructures. The purpose of this work was to use automatic segmentation to evaluate substructure doses and develop predictive models for these based on the dose to the whole heart.
Automatic segmentation was used to delineate cardiac substructures in a Danish breast cancer trial (DBCG HYPO) dataset comprising over 1500 Danish women treated between 2009 and 2014. https://www.selleckchem.com/products/Y-27632.html Trends in contouring practices and cardiac doses over time were investigated, and models to predict substructure doses from whole heart dose parameters were fit to the data.
Manual contouring consistency improved over the study period when compared with automatic segmentation; systematic differences between automatically and manually defined heart volume decreased from 106cm
to 12.0cm
. Doses to the heart and cardiac substructures also decreased. Mean whole heart doses for left-sided treatments in 2009 and 2014 were 1.94±1.19 Gy and 1.29±0.69 Gy (average ± SD), respectively. Prediction of mean substructure doses is accurate, with R
scores in the range 0.45-0.95 (average 0.77), depending on the particular structure.
This study reports heart and cardiac substructure doses in a large breast cancer cohort. Predictive models generated in this work can be used to estimate mean cardiac substructure doses for datasets where patient imaging and dose distributions are not available, provided the tangential field techniques are consistent with those used in the trial.
This study reports heart and cardiac substructure doses in a large breast cancer cohort. Predictive models generated in this work can be used to estimate mean cardiac substructure doses for datasets where patient imaging and dose distributions are not available, provided the tangential field techniques are consistent with those used in the trial.
We investigated clinical and genetic factors associated with severe radiation-induced lymphopenia (RIL) in a randomized clinical trial of photon vs. proton radiation, with chemotherapy, for non-small cell lung cancer.
XRCC1 rs25487 was genotyped in lymphocytes from serial peripheral blood samples. Severe RIL was defined as absolute lymphocyte count (ALC)<0.3×10
cells/L. Univariate and multivariate analyses were used to identify independent risk factors, which were then used to group patients for risk of severe RIL.
Univariate analysis of the 178 patients in this analysis showed that older age, larger tumors, higher lung V5 and mean lung dose, and higher heart V5 and mean heart dose were associated with severe RIL during treatment (P<0.05). The XRCC1 rs25487 AA genotype was also associated with increased risk of severe RIL during treatment (AA vs. others hazard ratio [HR]=1.665, 95% confidence interval [CI] 1.089-2.500, P=0.018). Multivariate analyses showed that older age (HR=1.031, 95% CI 1.009-1.054, P=0.005), lung V5 (HR=1.039, 95% CI 1.023-1.055, P<0.0001), and AA genotype (AA vs. others, HR=1.768, 95% CI 1.165-2.684, P=0.007) were independently associated with higher incidence of severe RIL. These three risk factors (age≥56years, lung V5≥51% and XRCC1 rs25487 AA) distinguished patients at different risk of developing severe RIL (P<0.0001).
Age, lung V5 and XRCC1 rs25487 AA were all linked with risk of severe RIL. Our predictive risk model may be helpful for identifying patients at high risk of severe RIL so that treatment can be modified.
Age, lung V5 and XRCC1 rs25487 AA were all linked with risk of severe RIL. Our predictive risk model may be helpful for identifying patients at high risk of severe RIL so that treatment can be modified.
Thalictrum minus L., which is widespread across Eurasia, is utilized as a folk medicine for treating dysentery, bedsore, fungal infection and lung inflammation in China, Mongolia and Iran.
A Mongolian folk medicinal plant named Thalictrum minus L. (TML) has been extensively used for the treatment of lung inflammation, bacterial and fungal infection and tuberculosis. Our present study aims to investigate the effectiveness of TML against particulate matter (PM)-induced acute lung injury (ALI) and the potential underlying mechanisms.
Initially, HPLC-Q-TOF was applied for the qualitative analysis and HPLC was used for quantitative analysis of main components in TML. Then, the mice model of ALI was induced by PM via intratracheally instilled with 50mg/kg body weight of Standard Reference Material1648a (SRM1648a), and TML (10, 20, 40mg/kg) were administered orally 1h prior to PM. The efficacy and molecular mechanisms in the presence or absence of TML were elucidated.
Eleven main ingredients were detected in TML attenuated PM-induced ALI through suppressing the release of inflammatory cytokines and alleviating oxidative damage correlated with the AMPK-Nrf2/KEAP signaling pathways, MAPKs-NLRP3/caspase-1 signaling pathways, as well as apoptotic pathways.
These findings indicated that TML attenuated PM-induced ALI through suppressing the release of inflammatory cytokines and alleviating oxidative damage correlated with the AMPK-Nrf2/KEAP signaling pathways, MAPKs-NLRP3/caspase-1 signaling pathways, as well as apoptotic pathways.
Weimaining (WMN) is a condensed Tannin compound extracted from Fagopyrum cymosum (Trevir.) Meisn., which comes from the roots of buckwheat, a type of Chinese herbal medicine, was first recorded in "Bencao Shiyi". WMN has inhibitory effects on multiple cancer types and is widely used in clinical practice; however, the mechanism underlying the anti-tumor effect of WMN is still unclear.
To investigate the effect of WMN on the cellular activity and apoptosis of mouse breast cancer 4T1-luc2 cells, and caspase-3 and cleaved-caspase-3 expression.
Luciferase-labeled mouse breast cancer 4T1-luc2 cells were inoculated into the mouse breast pad to establish a luciferase-labeled mouse breast cancer cell model. BALB/C-nu mice were randomly divided into model, WMN, and low-molecular-weight heparin (LMWH) groups (n=10). Another 10 mice served as the normal control group (no cancer cell injection). The WMN group was administered WMN 250mg/kg per day for 14 days, the LMWH group was given LMWH (1500 U/kg) daily for 14 days by intraperitoneal injection, and the model and normal control groups were given an equal dose of 0.