Objective:To establish the quality standard of sinapine thiocyanate in Qingrehuashiyangyin granules by HPLC.Methods:HPLC was performed on Phenomenex C18 Column(250mm?4.6mm,5?m) with acetonitrile-0.08mol/L KH2PO4(15:85) as mobile phase.Flow rate was 1.0ml/min and detecting wave length was 326nm.Column temperature at 30℃.Results:The good linear relationship was obtained in the range of 0.3976--1.988?g(r=0.9998),and the average recovery was 99.0%.Conclusion:This method is simple,fast and accurate for the quality control of Qingrehuashiyangyin granules.

Objective:To establish a method for the determination of erythromycin in erythromycin enteric capsules. Methods:UV spectrophotometry was performed. Sodium hydroxide reacted with erythromycin to obtain a unsaturated ketone having maximum absor-bance at 235 nm. The content of erythromycin in erythromycin enteric capsules was determined by the UV absorbance of the unsaturat-ed ketone. Results: The linear range of erythromycin was 51. 18-307. 08 μg · ml-1 ( r =0. 999 9 ) and the average recovery was 99. 9%(RSD=1. 2%,n=6). Conclusion:The method is simple,accurate,sensitive and reproducible, which can be used for the de-termination of erythromycin in erythromycin enteric capsules.

OBJECTIVE: To construct and validate a nomogram for predicting the risk of secondary peripheral neuropathy in patients with advanced lung cancer. METHODS: The sociodemographic and clinical data of 335 patients with advanced lung cancer admitted to Department of Respiratory, the First Affiliated Hospital of Zhejiang University School of Medicine from May 2020 to May 2021 were retrospectively collected. Pearson correlation analysis, univariate and multivariate logistic regression analyses were used to identify the risk factors of secondary peripheral neuropathy in patients with advanced lung cancer. A nomogram was constructed according to the contribution of each risk factor to secondary peripheral neuropathy, and the receiver operating characteristic (ROC) curve, Calibration curve and clinical decision curve were used to evaluate differentiation, calibration, and the clinical utility of the model. The nomogram was further validated with data from 64 patients with advanced lung cancer admitted between June 2021 and August 2021. RESULTS: The incidences of secondary peripheral neuropathy in two series of patients were 34.93% (117/335) and 40.63% (26/64), respectively. The results showed that drinking history ( OR=3.650, 95% CI: 1.523-8.746), comorbid diabetes ( OR=3.753, 95% CI: 1.396-10.086), chemotherapy ( OR=2.887, 95% CI: 1.046-7.970), targeted therapy ( OR=8.671, 95% CI: 4.107-18.306), immunotherapy ( OR=2.603, 95% CI: 1.337-5.065) and abnormal liver and kidney function ( OR=12.409, 95% CI: 4.739-32.489) were independent risk factors for secondary peripheral neuropathy (all P<0.05). A nomogram was constructed based on the above risk factors. The area under the ROC curve (AUC) of the nomogram for predicting the secondary peripheral neuropathy was 0.913 (95% CI: 0.882-0.944); and sensitivity, specificity, positive and negative predictive values were 85.47%, 81.65%, 71.43% and 91.28%, respectively. The Calibration curve and clinical decision curve showed good calibration and clinical utility. External validation results showed that the AUC was 0.764 (95% CI: 0.638-0.869); and sensitivity, specificity, positive and negative predictive values were 79.28%, 85.79%, 73.25% and 85.82%, respectively. CONCLUSIONS Advanced lung cancer patients have a high risk of secondary peripheral neuropathy after anticancer therapy. Drinking history, comorbid diabetes, chemotherapy, targeted therapy, immunotherapy, abnormal liver and kidney function are independent risk factors. The nomogram prediction model constructed in the study is effective and may be used for the risk assessment of secondary peripheral neuropathy in patients with advanced lung cancer.
Humans ; Nomograms ; Retrospective Studies ; Peripheral Nervous System Diseases/etiology* ; Risk Factors ; Lung Neoplasms/complications*

Automatic Data Processing ; Humans ; Medicine, Chinese Traditional ; Pulse

The changes of morphology, ATP and malonaldehyde (MDA) contents, xanthine oxidase (XO) activity as well as the glutathione peroxidase (GSH-px) activity of rabbit aortic endothelial cells under hyperoxia (100% O_2) for 0-72 hours were studied. We found that cellular morphological changes including swelling, shape variation after hyperoxia were time-dependent; after a temporarily increasing (24hr)(P

Accidents, Occupational ; Adult ; Arsenic Poisoning ; Critical Illness ; Fatal Outcome ; Female ; Humans

Anthracosis ; complications ; Cerebrovascular Disorders ; complications ; Cohort Studies ; Humans ; Male ; Middle Aged ; Retrospective Studies

Epithelial mesenchymal transition (EMT) is a process of normal cell physiological development, in which epithelial cells transform into mesenchyme cells through a specific program. EMT plays a key role in inflammatory reaction, cell development, tumor invasion, and metastasis and has an interrelation with prostate cancer stem cells. Recent researches show the involvement of EMT in the development and metastasis of prostate cancer. This article reviews the specific roles and action mechanisms of EMT in the progression of prostate cancer.
Biomedical Research ; Cell Differentiation ; Disease Progression ; Epithelial Cells ; physiology ; Epithelial-Mesenchymal Transition ; physiology ; Humans ; Male ; Mesenchymal Stromal Cells ; Neoplastic Stem Cells ; physiology ; Prostatic Neoplasms ; pathology

Objective To explore the effects of subchronic arsenic exposure through drinking water on glutamate-glutamine cycle in the brain of mice. Methods The female Kunming mice were exposed to arsenite ( iAsⅢ ) by drinking water at the levels of 25, 50 and 100 mg/L respectively for 6 consecutive weeks. The blood and brain were taken, the concentration of inorganic arsenic (iAs), monomethylarsenic acid (MMA), dimethylarsenic acid (DMA) and the activity of glutamine synthetase (GS), phosphate activated glutaminase (PAG), superoxide dimutase (SOD) and the concentrations of glutamate (Glu), lipidperoxide(LPO) were determined. Results The concentrations of iAs, MMA and DMA in the blood and brains increased as the iAsⅢ concentrations in drinking water increased. The activity of GS, PAG and the concentrations of Glu in the arsenic exposed mice increased compared with the control. The activity of GS in 50 mg/L group, the activity of PAG in 25 and 50 mg/L groups, the concentration of Glu in 100 mg/L group showed a significant difference compared with the control. The activity of PAG in 25 mg/L group was significantly higher than that in 100 mg/L group. The activity of SOD in exposed groups was higher than that in the control, the concentration of LPO in exposed groups did not show a significant difference compared with the control. Conclusion Arsenic can enter the brain and organic arsenic is dominant both in the blood and brain, however, the composition of arsenic speciation is different in the blood and brain. DMA, as a main arsenide, distributed in the brain. Arsenic exposure can change the activity of GS and PAG which can influence the concentration of Glu. Moreover, arsenic exposure can increase the superoxide anion and make the activity of SOD increase compensatively.

Objective To understand the combined effects of selenium (Se), germanium (Ge) on the level of Ca, Mg, Zn in the tissues of rats exposed to fluoride(F). Methods SD rats were divided into 5 groups and respectively treated with distilled water(control), 100 mg NaF/L(through drinking water), based on the fluoride treatment, Se, Ge were respectively given by gavage at the doses of 0.1 mg Na2SeO3/(kg?d), 10 mg Ge-132/(kg?d) and 0.1 mg Na2SeO3/(kg?d) plus 10 mg Ge-132/(kg?d) for 90 days. The body weight, activity, and general state were observed. The content of Ca,Mg,Zn in the serum,liver and kidneys were determined by flame atomization method. The content of F was detected by ion chromatography. Results The body weight in F+Se, F+Ge and F+Se+Ge groups were higher than that in F group and lower than that in the control group. The content of F in the liver, kidney in F+Se, F+Ge groups were higher than that in F+Se+Ge group(P