OBJECTIVETo investigate the cellular immune regulation of the long-term intervention of moxa smoke.

METHODSThirty-two Wistar rats were randomly divided into a blank group, a low concentration group, a medium concentration group and a high concentration group, 8 cases in each group. In addition to the blank group, rats in the other groups were exposed to the corresponding concentration moxa smoke for 20 min every day, the T lymphocyte subsets and proportion of the CD4+ CD25+ Treg in CD4+ T cells in peripheral blood were tested by flow cytometry after 6 months.

RESULTSCompared with the blank group, the proportions of CD3+ CD4+, CD3+ CD8+ T cells and CD3+ CD4/CD3+ CD8+ in the other 3 moxa smoke groups were not significantly different (P > 0.05), while the proportions of the CD4+ CD25+ Treg in CD4+ T cells were significantly lower (P < 0.05), but no statistically significant differences among those 3 moxa smoke intervention groups (P > 0.05).

CONCLUSIONLong-term moxa smoke intervention has no significant effect on the proportions of CD3+ CD4+, CD3+ CD8+ T cells and CD3+ CD4+/CD3+ CD8+, but it can decrease the proportions of the CD4+ CD25+ Treg in CD4+ T cells in peripheral blood of rats. The way produced by pretreatment with moxa smoke may play immunomodulatory effect.

Animals ; Lymphocyte Count ; Male ; Moxibustion ; Rats ; Rats, Wistar ; Smoke ; analysis ; T-Lymphocyte Subsets ; drug effects ; immunology ; T-Lymphocytes, Regulatory ; drug effects ; immunology ; Time Factors

The anti-inflammatory active ingredients of Zhi-Shi-Zhi-Zi-Chi-Tang (ZSZZCT), a traditional Chinese medicine formula, were predicted and identified using an approach based on activity index, LC-MS, semi-preparative LC and NMR. Firstly, the whole extract of ZSZZCT was analyzed using liquid chromatography-quadrupole time of flight-mass spectrometry (LC-Q-TOF-MS) and liquid chromatography - ion trap mass spectrometry (LC-IT-MS), 79 constituents were detected and 39 constituents were identified unambiguously or tentatively. Subsequently, the whole extract of the formula was separated into multiple components and the activity index method was used to calculate index values of the 79 constituents by integrating the chemical and pharmacological information of multiple components. Four polymethoxyl flavones were predicted as the major active constituents according to the activity index values. Furthermore, three polymethoxyl flavones were prepared using the strategy with semi-preparative LC guided by LC-MS, and their anti-inflammatory activities were validated. The results show that three polymethoxyl flavones with higher positive index values, i.e., 3, 5, 6, 7, 8, 3', 4'-heptamethoxyflavone, 3-hydroxynobiletein and tangeretin had significant anti-inflammatory effects. In conclusion, the predicted results indicated that the activity index method is feasible for the accurate prediction of active constituents in TCM formulae.
Animals ; Anti-Inflammatory Agents ; chemistry ; isolation & purification ; pharmacology ; Drugs, Chinese Herbal ; chemistry ; pharmacology ; Flavones ; chemistry ; isolation & purification ; pharmacology ; Lipopolysaccharides ; toxicity ; Macrophages ; drug effects ; metabolism ; Medicine, Chinese Traditional ; Mice ; Molecular Structure ; Nitric Oxide ; metabolism ; Plant Extracts ; chemistry ; pharmacology ; Plants, Medicinal ; chemistry ; RAW 264.7 Cells

To predict the targets of active ingredients of Kuihua Hugan Tablets by network pharmacology, and explore the "multi-component-multi-target-multi-pathway" hepatoprotective mechanism of action. First, through traditional Chinese medicine systems pharmacology(TCMSP) and TCM Database@Taiwan Database, main active ingredients of Kuihua Hugan Tablets were screened out based on oral bioavailability(OB), drug-likeness(DL) and effective half-lives(HL). The targets of active ingredients of Kuihua Hugan Tablets were predicted based on the PharmMapper method. Then, the prediction was conducted by screening the target genes associated with chronic hepatitis and early cirrhosis through CooLGeN and GeneCards databases. Target gene functions and signal pathways were analyzed by bioinformatics annotation database Metascape. Cytoscape software was used to construct the Kuihua Hugan Tablets ingredient-target and ingredient-target-pathway network. String database combined with Cytoscape software was used to construct the networks of component-target and component-target-pathway. STRING database was combined with Cytoscape software to draw protein-protein interaction(PPI) network and conduct network topology analysis. Finally, Systems Dock Web Site software was applied in verifying the molecular docking between active ingredients and potential protein targets. A total of 26 compounds and 509 potential targets were screened out from Kuihua Hugan Tablets in the experiment. The results of PPI network analysis indicated that albumin(ALB), insulin-like growth factor 1(IGF1), matrix metalloproteinase-9(MMP9), matrix metalloproteinase-2(MMP2), non-receptor tyrosine kinase proto-oncogene(SRC), estrogen receptor 1(ESR1) and cancer-signal transduction-inflammation-drugs metabolism-related biological processes and metabolic pathways were closely associated with the active ingredients in Kuihua Hugan Tablets. The effects of Kuihua Hugan Tablets in alleviating chronic hepatitis and early cirrhosis indicated the multi-component, multi-target, and multi-pathway characteristics of traditional Chinese medicines, providing new ideas for further research and development of Kuihua Hugan Tablets.
Drugs, Chinese Herbal ; pharmacology ; Medicine, Chinese Traditional ; Metabolic Networks and Pathways ; Molecular Docking Simulation ; Protein Interaction Mapping ; Tablets

Osteoarthritis is the commonest joint disease, but its etiology is still not clear.Recently the role of inflammation in its pathogenesis has been attached increasingly importance.Long noncoding RNAs (LncRNAs) play a key role in regulating the occurrence and development of inflammation-related diseases.This artiele reviews the research progress of LncRNAs in regula ting the occurrence and development of osteoarthritis through various endochondral inflammation signaling pathways in recent years , exploring the application of LncRNAs as a potential therapeutic target in the prevention and treatment of osteoarthritis.

Radiation mainly comes from medical radiation,industrial radiation,nuclear waste and atmospheric ultraviolet radiation,etc.,radiation is divided into ionizing radiation and non-ionizing radiation.Studying the effects of ionizing and non-ionizing radiation on drug metabolism,understanding the absorption and distribution of drugs in the body after radiation and the speed of elimination under radiation conditions can provide reasonable guidance for clinical medication.This article reviews the effects of radiation on the pharmacokinetics of different drugs,elaborates the changes of different pharmacokinetics under radiation state,and discusses the reasons for the changes.

Aim To explore the effect of γ-ray on the mRNA,protein expression levels and metabolic activity level of the key drug metabolic enzyme CYP3A1 in rat liver. Methods Wistar rats were randomly divided into control group, 24 h post-radiation group and 72 h post-radiation group. The experimental group was exposed to total body irradiation of single 6 Gy γ-ray. Blood was collected from the orbital venous plexus for blood routine examination and biochemical analysis 24 h and 72 h after irradiation, and liver tissue was prepared for quantifying expression of CYP3A1 mRNA and liver-specific microRNA (miR-122-5p) through RT-PCR. The expression level of CYP3A1 protein was analyzed by Western blot, and the metabolic activity level of CYP3A1 detected by the specific substrate midazolam combined with LC-MS method. Results Com¬pared with the control group, the weights of the rats in the radiation group significantly decreased, and the number of white blood cells was markedly reduced. Simultaneously, the activities of alanine aminotrans-ferase and alkaline phosphatase continuously descended, as well as the levels of total bilirubin and bile acid significantly increased, which indicated that the liver may be damaged after radiation. The relative expression of CYP3A1 mRNA continued to increase significantly 24 h and 72 h after irradiation. CYP3A1 protein expression and metabolic activity levels showed an obvious increasing trend 24 h after irradiation, and rose significantly 72 h after irradiation compared with the control group. At the same time, the expression of miR-122-5p in liver of rats in the 24 h and 72 h post-radiation group continued to decrease rapidly compared with the control group. Conclusions γ-ray radiation may arouse damage effect on liver, which leads to the continuous up-regulation of the mRNA and protein expression levels of the capital metabolic enzyme CYP3A1 in liver tissue, as well as the elevation of the metabolic activity level. The regulatory mechanism might be related to miR-122-5p.

BACKGROUND: Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP); however, few of the previous prediction tools used serum prostate-specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival (BCRFS). METHODS: A total of 337 patients who underwent RP between January 2010 and March 2017 were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCRFS at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analyses were performed to identify the advantage of the new nomogram in comparison with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score. RESULTS: A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), considering these variables were significantly associated with BCR in both univariate and multivariate analyses (P < 0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 vs. 0.70, P = 0.02) and it was significantly higher than that of the basic model (0.76 vs. 0.66, P = 0.001). Time-dependent ROC curve and decision curve analyses also demonstrated the advantages of the new nomogram. CONCLUSIONS PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCRFS after RP.
Humans ; Male ; Neoplasm Grading ; Neoplasm Recurrence, Local/surgery* ; Nomograms ; Prognosis ; Prostate-Specific Antigen ; Prostatectomy ; Prostatic Neoplasms/surgery* ; Retrospective Studies ; Seminal Vesicles

ObjectivesBased on the changes of lung lesions in patients with COVID-19 at different stages， a nomogram model describing CT image features was established by radiomics method to explore its efficacy in predicting the progression of the disease. MethodsThis retrospective study enrolled 136 patients with COVID-19 pneumonia who received at least two CTs including three cohorts （training cohort and validation cohort 1 and 2）. Patients in the training cohort were divided into three groups according to time between onset of fever symptoms and the first CT. The clinical manifestations and CT features of each group were analyzed and compared. A nomogram to predict disease progression was constructed according to the CT features of the patients， and its performance was evaluated. ResultsThe training cohort consisted of 41 patients.A nomogram was generated to predict disease progression based on three CT features： irregular strip shadow， air bronchial sign， and the proportion of lesions with irregular shape ≥50%. AUC（95%CI）=0.906（0.817，0.995）.The C index of the training cohort was 0.906， and the C index of the internal verification was 0.892. AUC（95%CI）of the validation cohort 1 （34 cases） =0.889（0.793，0.984）；AUC（95%CI）of the validation cohort 2 （61 cases）=0.876（0.706，1.000）.The calibration curves show that the predicted values of the nomogram are in good agreement with the observed values. ConclusionThe nomogram model based on CT radiomics can predict the outcome of lung lesions in patients with high sensitivity and specificity.According to the changes of CT image characteristics of patients with COVID-19， lung lesions will be improved when the proportion of irregular cable shadow， air bronchogram and irregular lesions is greater than 50%.

Malocclusion is one of the three most common oral diseases reported by World Health Organization(WHO). In China, its incidence rate is rising. Malocclusion seriously affects the dental and maxillofacial function, facial appearance and growth development of nearly 260 million children in China, and what is more, it affects their physical and mental health development. Malocclusion occurrence is related to genetic and environmental factors. Early treatment of malocclusion can create a good dental and maxillofacial development environment, correct abnormal growth and control the adverse effects of abnormal genetic factors. It can effectively reduce the prevalence of children's malocclusion and enhance their physical and mental health. This is an urgent need from the economic perspective of our society, so it has great practical and social significance. Experts from the project group "standard diagnose and treatment protocols for early orthodontic intervention of malocclusions of children" which initiated by China National Health Institute of Hospital Administration wrote the "China Experts' Consensus on Preventive and Interceptive Orthodontic Treatments of Malocclusions of Children", which aims to guide and popularize the clinical practice, improve the clinical theory and practice level, and accelerate the disciplinary development of early treatment of children's malocclusion in China. The consensus elaborates the harmfulness of malocclusion and the necessity of early treatment, and brings up the principles and fundamental contents. Based on the law of dental and maxillofacial development, this paper puts forward the guiding suggestions of preventive and interceptive treatments in different stages of dental development ranging from fetus to early permanent dentition. It is a systematic project to promote and standardize the early treatment of malocclusion. Through scientific and comprehensive stratified clinical practice and professional training, the clinical system of early treatment of malocclusion in China will eventually be perfected, so as to comprehensively care for children's dental and maxillofacial health, and improve their oral and physical health in China.
Child ; China/epidemiology* ; Consensus ; Dental Care ; Humans ; Malocclusion/prevention & control* ; Orthodontics, Interceptive