OBJECTIVETo study the role of cyclin D1 in malignant transformation of human embryonic lung diploid fibroblasts (HELF) induced by quartz.

METHODSpXJ41-cyclin D1 expressing sense and antisense cyclin D1 RNA were transinfected into malignant transformed HELF induced by quartz with DNA recombination and gene transduction. The expression of cyclin D1 was detected with hybridization in situ and immunohistochemistry methods to analyze changes in cell growth, double multiplication time, distribution of cell cycles, colony forming ability on soft agar, etc., before and after cyclin D1 transduction.

RESULTSDuring the process of malignant transformation of HELF induced by quartz, cyclin D1 gene was overexpressed. Antisense pXJ41-cyclin D1 RNA could suppress the growth and proliferation of malignant transformed cells induced by quartz. Growth speed of antisense pXJ41-cyclin D1 transinfected cells decreased by 58.69% on the 8th day in culture, as compared to malignant transformed cells induced by quartz, and its double multiplication time prolonged from 21.0 h to 31.4 h. Antisense cyclin D1 RNA led to cell cycle arrest, resulting in lengthened G1 phase (proportion of cells in phase G1 increased to 52.7% from 45.1% and that of cells in phase S decreased to 33.1% from 40.3%). Colony forming rate reduced significantly and size of colony became smaller.

CONCLUSIONSAbnormal expression of cyclin D1 in cells related to their malignant transformation induced by quartz. Highly expressed cyclin D1 could play an important role in maintaining the transformed phenotype of malignant cells.

Cell Transformation, Neoplastic ; Cells, Cultured ; Cyclin D1 ; biosynthesis ; genetics ; Embryo, Mammalian ; Fibroblasts ; cytology ; Humans ; Lung ; cytology ; Quartz ; toxicity

This study is to establish an artificial neural network (ANN) for predicting blood tacrolimus concentration in liver transplantation recipients. Tacrolimus concentration samples (176 samples) from 37 Chinese liver transplantation recipients were collected. ANN established after network parameters were optimized by using momentum method combined with genetic algorithm. Furthermore, the performance of ANN was compared with that of multiple linear regression (MLR). When using accumulated dose of 4 days before therapeutic drug monitoring (TDM) of tacrolimus concentration as input factor, mean prediction error and mean absolute prediction error of ANN were 0.02 +/- 2.40 ng x mL(-1) and 1.93 +/- 1.37 ng x mL(-1), respectively. The absolute prediction error of 84.6% of testing data sets was less than 3.0 ng x mL(-1). Accuracy and precision of ANN are superior to those of MLR. The correlation, accuracy and precision of ANN are good enough to predict blood tacrolimus concentration.
Adult ; Aged ; Drug Monitoring ; methods ; Female ; Humans ; Immunosuppressive Agents ; blood ; Linear Models ; Liver Transplantation ; Male ; Middle Aged ; Neural Networks (Computer) ; Tacrolimus ; blood

Objective To research the effects of five Chinese herbs of Artemisia argyi, Chimonanthus praecox, Agastache rugosa, pine needles and Osmamthus fragrans on human demodicid mites in vitro. Methods The human demodicid mites were acquired with the cellophane tape method. The ethanol heat reflux extractions were carried out on the 5 kinds of Chinese herbs to be studied and Stemona sessilifolia as the positive control, so as to get the herbal extracts. Next, the drug administration was carried out to the demodicid mites, and the inhibitory or killing effects of the 6 kinds of Chinese herbs above mentioned on the vermiform mites were observed under a microscope. It was considered to be dead when the bodies of the demodicid mites stopped moving. Besides, the duration from drug administration to death of the vermiform mites was recorded. Results Artemisia argyi, Chimonanthus praecox and Agastache rugosa could effectively inhibit and kill human demodicid mites. The effect of Artemisia argyi and Agastache rugosa was similar to the effect of Stemona sessilifolia, and the effect of Chimonanthus praecox was weaker than Stemona sessilifolia’s effect. Among them, Agastache rugosa took a relatively short time (4.60 min ± 1.66 min) min and Osmamthus fragrans took the longest time (114.65min ± 80.14min) to Demodex folliculorum; Whereas, Artemisia argyi took the shortest time (3.56min ± 1.92 min) min and Osmamthus fragrans took the longest time (194.24min ± 134.96 min) min to Demodex brevis. Conclusions The effects of Artemisia argyi and Agastache rugosa on human demodicid mites are similar to that of Stemona sessilifolia. The effects of Chimonanthus praecox and pine needles are weaker than that of Stemona sessilifolia. Osmamthus fragrans has no acaricidal effect.

OBJECTIVE: Lung-toxin Dispelling Formula No. 1, referred to as Respiratory Detox Shot (RDS), was developed based on a classical prescription of traditional Chinese medicine (TCM) and the theoretical understanding of herbal properties within TCM. Therapeutic benefits of using RDS for both disease control and prevention, in the effort to contain the coronavirus disease 2019 (COVID-19), have been shown. However, the biochemically active constituents of RDS and their mechanisms of action are still unclear. The goal of the present study is to clarify the material foundation and action mechanism of RDS. METHODS: To conduct an analysis of RDS, an integrative analytical platform was constructed, including target prediction, protein-protein interaction (PPI) network, and cluster analysis; further, the hub genes involved in the disease-related pathways were identified, and the their corresponding compounds were used for in vitro validation of molecular docking predictions. The presence of these validated compounds was also measured in samples of the RDS formula to quantify the abundance of the biochemically active constituents. In our network pharmacological study, a total of 26 bioinformatic programs and databases were used, and six networks, covering the entire Zang-fu viscera, were constructed to comprehensively analyze the intricate connections among the compounds-targets-disease pathways-meridians of RDS. RESULTS: For all 1071 known chemical constituents of the nine ingredients in RDS, identified from established TCM databases, 157 passed drug-likeness screening and led to 339 predicted targets in the constituent-target network. Forty-two hub genes with core regulatory effects were extracted from the PPI network, and 134 compounds and 29 crucial disease pathways were implicated in the target-constituent-disease network. Twelve disease pathways attributed to the Lung-Large Intestine meridians, with six and five attributed to the Kidney-Urinary Bladder and Stomach-Spleen meridians, respectively. One-hundred and eighteen candidate constituents showed a high binding affinity with SARS-coronavirus-2 3-chymotrypsin-like protease (3CL), as indicated by molecular docking using computational pattern recognition. The in vitro activity of 22 chemical constituents of RDS was validated using the 3CL inhibition assay. Finally, using liquid chromatography mass spectrometry in data-independent analysis mode, the presence of seven out of these 22 constituents was confirmed and validated in an aqueous decoction of RDS, using reference standards in both non-targeted and targeted approaches. CONCLUSION RDS acts primarily in the Lung-Large Intestine, Kidney-Urinary Bladder and Stomach-Spleen meridians, with other Zang-fu viscera strategically covered by all nine ingredients. In the context of TCM meridian theory, the multiple components and targets of RDS contribute to RDS's dual effects of health-strengthening and pathogen-eliminating. This results in general therapeutic effects for early COVID-19 control and prevention.
Antiviral Agents ; chemistry ; therapeutic use ; Betacoronavirus ; chemistry ; enzymology ; Coronavirus Infections ; drug therapy ; prevention & control ; virology ; Cysteine Endopeptidases ; chemistry ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Humans ; Mass Spectrometry ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Pandemics ; prevention & control ; Pneumonia, Viral ; drug therapy ; prevention & control ; virology ; Protein Interaction Maps ; Viral Nonstructural Proteins ; chemistry