Pharmacokinetics of traditional Chinese medicine(TCM)is a discipline that adopts pharmacokinetic research methods and techniques under the guidance of TCM theories to elucidate the dynamic changes in the absorption,distribution,metabolism and excretion of active ingredients,active sites,single-flavour Chinese medicinal and compounded formulas of TCM in vivo.However,the sources and components of TCM are complex,and the pharmacodynamic substances and mechanisms of action of the majority of TCM are not yet clear,so the pharmacokinetic study of TCM is later than that of chemical medicines,and is far more complex than that of chemical medicines,and its development also confronts with challenges.The pharmacokinetic study of TCM originated in the 1950s and has experienced more than 70 years of development from the initial in vivo study of a single active ingredient,to the pharmacokinetic and pharmacodynamic study of active ingredients,to the pharmacokinetic study of compound and multi-component of Chinese medicine.In recent years,with the help of advanced extraction,separation and analysis technologies,gene-editing animals and cell models,multi-omics technologies,protein purification and structure analysis technologies,and artificial intelligence,etc.,the pharmacokinetics of TCM has been substantially applied in revealing and elucidating the pharmacodynamic substances and mechanisms of action of Chinese medicines,research and development of new drugs of TCM,scientific and technological upgrading of large varieties of Chinese patent medicines,as well as guiding the rational use of medicines in clinics.Pharmacokinetic studies of TCM have made remarkable breakthroughs and significant development in theory,methodology,technology and application.In this paper,the history of the development of pharmacokinetics of TCM and the progress of cutting-edge research was reviewed,with the aim of providing ideas and references for the pharmacokinetics of TCM and related research.

Objective To explore the regulatory mechanism of Macelignan on oxidative stress-mediated neuronal injury in autophagy and apoptosis.Methods Murine hippocampal neuronal HT22 cells were treated with 2.5 mmol·L-1 glutamic acid(Glu)to establish an oxidative stress cell model.The cells were divided into normal group(normal cultured cells),model group(2.5 mmol·L-1 Glu)and experimental-L,-M,-H groups(2.5,5,10 μmol·L-1Macelignan treatment),inhibitor group(2.5 mmol·L-1 Glu+10 μmol·L-1 Macelignan+10 μmol·L-1 LY294002).Aoptosis rate was detected by flow cytometry;the protein expression level of autophagy-related protein LC3B(LC3B),anti-SQSTM1/p62(p62),p21,B-cell lymphoma-2(Bcl-2)and Bcl-2 associated X protein(Bax)was detected by Western blot.Results The apoptosis rates in the normal group,model group and experimental-L,-M,-H groups were(4.58±1.25)％,(8.75±0.55)％,(6.30±1.71)％,(5.97±2.27)％and(5.49±1.71)％.The difference between model group and normal group was statistically significant(P＜0.01).The difference between experimental-L,-M,-H groups and model group was statistically significant(all P＜0.01).The levels of LC3B in normal group,model group,experimental-L,experimental-M,experimental-H groups and inhibitor group were 0.28±0.02,0.74±0.02,1.02±0.04,0.70±0.03,0.26±0.02 and 0.21±0.01;p62 levels were 0.49±0.08,0.33±0.03,0.50±0.07,0.59±0.01,0.64±0.13 and 0.65±0.06;p21 levels were 0.87±0.02,1.18±0.03,0.98±0.03,0.88±0.03,0.72±0.06 and 0.81±0.02;Bcl-2/Bax levels were 1.74±0.23,1.11±0.10,1.38±0.05,1.66±0.26,1.58±0.29 and 1.53±0.09,respectively.The differences between model group and normal group,between model group and experimental-H group,between model group and inhibitor group,were also statistically significant(all P＜0.01).Conclusion Macelignan can reduce the damage of hippocampal neurons induced by glutamate acid by regulating the process of autophagy and apoptosis,and has obvious neuroprotective effect.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome

Obesity has been identified as a chronic low-grade systemic inflammation and a key risk factor for diseases such as diabetes, hypertension, and malignancies, and has become an urgent global health burden. Adipose tissue macrophages play a significant role in adipose immune homeostasis and inflammatory responses. Under different conditions, they can be polarized into pro-inflammatory M1 phenotype or anti-inflammatory M2 phenotype. In obese individuals, there is abnormal polarization of macrophages in adipose tissue, leading to an imbalance in the M1/M2 phenotype dynamic equilibrium and the development of pathological inflammation. Therefore, restoring the balance of M1/M2 macrophage polarization is an important potential target for the treatment of chronic inflammation in obesity. Studies have shown that traditional Chinese medicine(TCM) can positively modulate macrophage polarization and produce beneficial effects on obesity. Based on existing evidence, this paper systematically reviewed the potential mechanisms of TCM in improving chronic inflammation in obesity from the perspective of macrophage polarization, in order to provide evidence for the clinical diagnosis and treatment of chronic inflammation in obesity with TCM and offer new insights for related research design and the development of new TCM.
Humans ; Animals ; Mice ; Medicine, Chinese Traditional ; Obesity/drug therapy* ; Adipose Tissue/pathology* ; Inflammation/drug therapy* ; Macrophages ; Mice, Inbred C57BL

Child ; Child, Preschool ; Humans ; China ; Practice Guidelines as Topic ; Dyssomnias ; Child Behavior

OBJECTIVE: To evaluate the characteristics of severe periodontitis with various number of tooth loss during 4-year natural progression, and to analyze the factors related to higher rate of tooth loss. METHODS: A total of 217 patients aged 15 to 44 years with severe periodontitis were included, who participated in a 4-year natural progression research. Data obtained from questionnaire survey, clinical examination and radiographic measurement. Tooth loss during 4-year natural progression was evaluated. The baseline periodontal disease related and caries related factors were calculated, including number of teeth with bone loss > 50%, number of missing molars, number of teeth with widened periodontal ligament space (WPDL), number of teeth with periapical lesions and etc. Characteristics of populations with various number of tooth loss and the related factors that affected higher rate of tooth loss were analyzed. RESULTS: In 4 years of natural progression, 103 teeth were lost, and annual tooth loss per person was 0.12±0.38. Nine patients lost 3 or more teeth. Thirty-four patients lost 1 or 2 teeth, and 174 patients were absent of tooth loss. Molars were mostly frequent to lose, and canines presented a minimum loss. The number of teeth with WPDL, with periapical lesions, with intrabony defects, with probing depth (PD)≥7 mm, with PD≥5 mm, with clinical attachment loss≥5 mm, with bone loss > 50% and with bone loss > 65% were positively correlated to number of tooth loss. Results from orderly multivariate Logistic regression showd that the number of teeth with bone loss > 50% OR=1.550), baseline number of molars lost (OR=1.774), number of teeth with WPDL (1 to 2: OR=1.415; ≥3: OR=13.105), number of teeth with periapical lesions (1 to 2: OR=4.393; ≥3: OR=9.526) and number of teeth with caries/residual roots (OR=3.028) were significant risk factors related to higher likelihood of tooth loss and multiple tooth loss. CONCLUSION In 4 years of natural progression, the number of teeth with bone loss > 50%, baseline number of missing molars, number of teeth with WPDL, baseline number of teeth with periapical lesions and number of teeth with caries/residual roots were significantly related to higher risk of tooth loss and multiple tooth loss among Chinese young and middle-aged patients with severe periodontitis in rural areas.
Humans ; Tooth Loss/etiology* ; Periodontitis/complications* ; Tooth ; Periodontal Diseases ; Molar

Objective To evaluate the predictive value of a combined model based on clinical and radiomics features for the invasiveness of lung adenocarcinoma manifesting as ground glass nodule(GGN).Methods Clinical data of patients with GGN-type lung adenocarcinoma who underwent chest CT and were confirmed by surgical pathology at some hospital from January to December 2019 were analyzed retrospectively,and the extraction of imaging histological features was performed using Python-based open resource Pyradiomics.A clinical model was constructed based on independent risk factors obtained from univariate and multivariate analyses,a radiomics model was built using the screened radiomics features,and a combined model was established with the predictive values of the clinical models and radiomics scores(Radscore).The predictive performance of the three models in the training and test sets was assessed using ROC curves,the statistical significance of the differences in the ROC curves of the three models for predicting GGN-type lung adenocarcinoma was assessed using the Delong test,and the net benefits of the models were analyzed using clinical decision curves.Results Logistic multifactor analysis showed that age(P=0.020 2)and vascular characteristics(P=0.002 2)were the independent predictors of the degree of the invasiveness of lung adenocarcinoma.The AUCs of the radiomics model,clinical model and combined model were 0.876,0.867 and 0.904 on the training set,and 0.828,0.828 and 0.864 on the test set,respectively.The difference between the ROC curves of the combined model and the clinical and radiomics models was not statistically significant(P>0.05)on the test set.Clinical decision curves showed a higher clinical benefit when using the combined model to predict the invasiveness under most conditions of threshold probability.Conclusion The combined model based on clinical and radiomics features enhances the predictive performance for the invasiveness of GGN-type lung adenocarcinoma.

Objective （ ） To explore the feasibility of using generalized estimating equation GEE to analyze the influencing - （ ） factors of high frequency hearing loss HFHL among noise exposed workers in an air conditioner manufacturing enterprise. Methods - The noise exposed workers in an air conditioner manufacturing industry who had been tested for pure tone hearing threshold twice or more from 2015 to 2019 were selected as the research subjects using the judgment sampling method. Data ， ， ， ， ， （ ） such as age length of service gender smoking alcohol consumption body mass index BMI and HFHL were collected. The Results influencing factors of HFHL were analyzed using the GEE. The detection rates of HFHL from 2015 to 2019 were ， ， ， ， ， 22.2% 23.8% 24.2% 24.1% and 20.9% respectively. Among them the detection rate of HFHL in 2019 was lower than that （ P ） ， ， in 2017 and 2018 all <0.001 . The GEE analysis results showed that the risks of HFHL in 2015 2016 2017 and 2018 were （ P ）， higher than that in 2019 all <0.01 regardless of interaction effects and after adjusting for confounding factors such as ， ［OR（ CI）］ （ - duration of noise exposure smoking and BMI. The odds ratios and 95% confidence intervals 95% were 1.19 1.07 ）， （ - ）， （ - ） （ - ）， 1.33 1.26 1.13 1.39 1.30 1.18 1.43 and 1.27 1.15 1.39 respectively. The risk of HFHL was higher in males than in （P ）， OR（ CI） （ - ） ， （P ）， OR females <0.01 and 95% was 3.78 3.00 4.77 . The older the age the higher the risk of HFHL <0.01 and （ CI） （ - ） Conclusion - 95% was 1.07 1.05 1.09 . The influencing factors of HFHL among noise exposed workers in the air conditioner industry are age and gender. GEE can be used to analyze the factors influencing the longitudinal data of HFHL in workers with noise exposure.

Objective: To summarize the clinical experience and treatment results of endoscopic transoral resection of metastatic retropharyngeal lymph nodes (MRPLN) in nasopharyngeal carcinoma (NPC) via posteroinferior eustachian tube approach. Methods: The clinical data of 37 patients with NPC who underwent endoscopic transoral surgery via posteroinferior eustachian tube approach for MRPLN in Xuanwu Hospital, Capital Medical University from 2010 to 2020 were analyzed retrospectively. There are 28 males and 9 females, aged from 31 to 72 years. The clinicopathological features such as gender, age, primary tumor stage, stage, side and size of MRPLN were recorded and analyzed. The surgical procedures of endoscopic transoral resection of MRPLN via posteroinferior eustachian tube approach were described. The MRPLN resection, perioperative complications and follow-up results were also summarized. Results: The primary tumors of 37 cases were determined as rT1 stage in 2 cases, rT2 stage in 30 cases and primary T2 stage in 5 cases in this study. There were 33 cases of unilateral MRPLN(89.2%), 4 cases of bilateral ones (10.8%), 36 cases in N1 stage, and 1 case in N3 stage. Single lymph node was detected in 23 cases(62.2%), and 2-5 lymph nodes in 14 cases(37.8%). Endoscopic transoral surgery via posteroinferior eustachian tube approach was completed in all cases. Total MRPLN resection was obtained in 35 cases (94.6%) with one-stage operation, and subtotal resection was achieved in 2 cases whose MRPLN involved the wall of internal carotid artery. No serious complications occurred in the perioperative period. During the follow-up period (median follow-up period 53.1 months), no recurrence of MRPLN was observed in patients who received total resection. And 8 patients (21.6%) died from different causes. Conclusion: Endoscopic transoral surgery via posteroinferior eustachian tube approach for MRPLN is a practicable and effective surgical option, but the long-term effect still needs longer follow-up and summary of bulk cases.
Humans ; Male ; Female ; Nasopharyngeal Carcinoma ; Eustachian Tube ; Retrospective Studies ; Lymph Nodes ; Nasopharyngeal Neoplasms

OBJECTIVES: To investigate the effects of injury time, postmortem interval (PMI) and postmortem storage temperature on mRNA expression of glycoprotein non-metastatic melanoma protein B (Gpnmb), and to establish a linear regression model between Gpnmb mRNA expression and injury time, to provide aimed at providing potential indexes for injury time estimation. METHODS: Test group SD rats were anesthetized and subjected to blunt contusion and randomly divided into 0 h, 4 h, 8 h, 12 h, 16 h, 20 h and 24 h groups after injury, with 18 rats in each group. After cervical dislocation, 6 rats in each group were collected and stored at 0 ℃, 16 ℃ and 26 ℃, respectively. The muscle tissue samples of quadriceps femoris injury were collected at 0 h, 12 h and 24 h postmortem at the same temperature. The grouping method and treatment method of the rats in the validation group were the same as above. The expression of Gpnmb mRNA in rat skeletal muscle was detected by RT-qPCR. The Pearson correlation coefficient was used to evaluate the correlation between Gpnmb mRNA expression and injury time, PMI, and postmortem storage temperature. SPSS 25.0 software was used to construct a linear regression model, and the validation group data was used for the back-substitution test. RESULTS: The expression of Gpnmb mRNA continued to increase with the prolongation of injury time, and the expression level was highly correlated with injury time (P<0.05), but had little correlation with PMI and postmortem storage temperature (P>0.05). The linear regression equation between injury time (y) and Gpnmb mRNA relative expression (x) was y=0.611 x+4.489. The back-substitution test proved that the prediction of the model was accurate. CONCLUSIONS The expression of Gpnmb mRNA is almost not affected by the PMI and postmortem storage temperature, but is mainly related to the time of injury. Therefore, a linear regression model can be established to infer the time of injury.
Animals ; Rats ; Glycoproteins ; Linear Models ; Melanoma ; Membrane Glycoproteins/genetics* ; Postmortem Changes ; Rats, Sprague-Dawley ; RNA, Messenger/metabolism* ; Time Factors