OBJECTIVE To standardize the main processes and related technical links of the clinical comprehensive evaluation of drugs， and provide guidance and reference for improving the quality of comprehensive evaluation evidence and its transformation and application value. METHODS The construction of Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs was based on the standard guideline formulation method of the World Health Organization （WHO）， strictly followed the latest definition of guidelines by the Institute of Medicine of the National Academy of Sciences of the United States， and conformed to the six major areas of the Guideline Research and Evaluation Tool Ⅱ. Delphi method was adopted to construct the research questions； research evidence was established by applying the research methods of evidence-based medicine. The evidence quality classification system of the Chinese Evidence-Based Medicine Center was adopted for evidence classification and evaluation. The recommendation strength was determined by the recommendation strength classification standard formulated by the Oxford University Evidence-Based Medicine Center， and the recommendation opinions were formed through the expert consensus method. RESULTS & CONCLUSIONS The Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs covers 4 major categories of research questions， including topic selection， evaluation implementation， evidence evaluation， and application and transformation of results. The formulation of this guideline has standardized the technical links of the entire process of clinical comprehensive evaluation of drugs， which can effectively guide the high-quality and high-efficient development of this work， enhance the standardized output and transformation application value of evaluation evidence， and provide high-quality evidence support for the scientific decision-making of health and the rationalization of clinical medication.

Objective To establish a purification,enrichment and test method of tetrodotoxin in blood.Methods Through the investigation of various hydrophilic chromatographic columns,the comparison of extraction effects of different types of solid phase extraction columns and the interference analysis of mixed peaks on qualitative ion pairs,the matrix influence of tetrodotoxin was reduced,and the detection sensitivity and qualitative accuracy were improved.Results Tetrodotoxin is highly polar and easily inhibited by the matrix,while conventional precipitation protein method has low sensitivity and isomer double peaks,and the C18 column is not reserved.After comprehensive comparative analysis,the weak cation exchange column PWC column is finally used for purification and enrichment.Complete elution was achieved using 0.5 mL 10%formic acid and 50%acetonitrile aqueous solution.Seperation was performed on an Atlantis HILIC column,with qualitative ion pairs set at m/z,320.10>162.15 and 284.15.The detection limit of the method was 0.061 ng/mL.Conclusion The established PWC solid-phase extraction-LC/MS detection method demonstrates significant purification efficacy,minimal matrix influence,unobstructed chromatographic peaks,markedly improved detection sensitivity.This approach is operationally simple,and applicable to forensic casework.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.

Objective To establish a purification,enrichment and test method of tetrodotoxin in blood.Methods Through the investigation of various hydrophilic chromatographic columns,the comparison of extraction effects of different types of solid phase extraction columns and the interference analysis of mixed peaks on qualitative ion pairs,the matrix influence of tetrodotoxin was reduced,and the detection sensitivity and qualitative accuracy were improved.Results Tetrodotoxin is highly polar and easily inhibited by the matrix,while conventional precipitation protein method has low sensitivity and isomer double peaks,and the C18 column is not reserved.After comprehensive comparative analysis,the weak cation exchange column PWC column is finally used for purification and enrichment.Complete elution was achieved using 0.5 mL 10%formic acid and 50%acetonitrile aqueous solution.Seperation was performed on an Atlantis HILIC column,with qualitative ion pairs set at m/z,320.10>162.15 and 284.15.The detection limit of the method was 0.061 ng/mL.Conclusion The established PWC solid-phase extraction-LC/MS detection method demonstrates significant purification efficacy,minimal matrix influence,unobstructed chromatographic peaks,markedly improved detection sensitivity.This approach is operationally simple,and applicable to forensic casework.

OBJECTIVE To study the mechanism of Compound zaoren granule in improving insomnia. METHODS Forty-nine mice were divided into blank group， model group， positive control group 1 （Estazolam tablets 0.5 mg/kg），control group 2 （Shumian capsule 0.6 g/kg）， Compound zaoren granule low-dose， medium-dose and high-dose groups （2.5， 5， 10 g/kg）， with 7 mice in each group. The insomnia model was established by chronic unpredictable mild stress combined with 4-chloro-DL- phenylacetic acid. The behavioral changes of mice were investigated through open field test and pentobarbital sodium synergistic hypnosis experiment， as well as the pathomorphology of mice hypothalamus tissue was observed by HE staining. The metabonomics analysis and multivariate statistical analysis of serum in mice were performed by UHPLC-Q-TOF-MS/MS， and the differential metabolites were screened out； the metabolic pathway analysis was conducted based on MetaboAnalyst 5.0 database. RESULTS Compared with blank group， the total travelling distance， the number of entering the central region and the moving distance in the central region of the model group were significantly reduced （P＜0.05）， the proportion of total rest time was significantly increased （P＜0.05）， the sleep duration of mice was significantly shortened （P＜0.05）， and hypothalamic nerve cells damaged and severely vacuolated. Compared with model group， the total travelling distance of Compound zaoren granule low-dose and medium-dose groups were increased significantly and the proportions of total rest time of those groups were decreased significantly （P＜0.05）， and the sleep duration of mice in Compound zaoren granule high-dose group was prolonged significantly （P＜0.05）； the hypothalamic nerve cells of mice in each administration group recovered to varying degrees， and the hypothalamus histiocytes of mice in the Compound zaoren granules high-dose group were closer to those in the blank group. A total of 18 differential metabolites （such as phenylalanine， taurine， norvaline， methionine） and 4 important amino acid metabolic pathways （L-phenylalanine， tyrosine and tryptophan biosynthesis； taurine and hypotaurine metabolism； L-phenylalanine metabolism； cysteine and methionine metabolism） were identified through metabolomics analysis. CONCLUSIONS Compound zaoren granules can normalize the disordered metabolism in vivo by regulating differential metabolites such as phenylalanine， taurine， and four amino acid metabolic pathways， so as to improve insomnia.

OBJECTIVE To analyze the odor composition changes of two kinds of traditional Chinese medicine sachet （children type and adults type） with different placement time by using ultra-fast gasphase electronic nose technology. METHODS The change rule of sachet components at different storage times was analyzed by gas chromatography. At the same time， the qualitative results were obtained by combining electronic nose with Arochembase database. Discriminant factor analysis was used to analyze the overall odor composition differences of the two sachet samples. RESULTS A total of 10 odor compositions were identified in children-type sachet， including α-pinene and β-pinene as the functional index compositions； five odor compositions of children-type sachet disappeared after 0.25 days， and most of them disappeared after 7 days； the cumulative contribution rate of discriminant factor analysis was 99.225%. A total of 8 odor compositions were identified in adult-type sachets， including α-pinene and α-phellandrene as the functional index compositions； four odor components disappeared after the adult-type sachet was placed for 0.25 days； after 15 days of placement， the peak 6-8 disappeared， and the intensity of peak 5 decreased by 34.3% compared with 0 day of placement； the cumulative contribution rate of discriminant factor analysis was 91.965%. CONCLUSIONS With the extension of storage time， the smell and composition of the two traditional Chinese medicine sachets are decreasing. It is recommended that the use time of children-type sachet is 7 days， and that of adult-type sachet is 15 days.

Objective: To explore the association between dietary inflammatory index (DII) and metabolic syndrome (MetS) and its components among children aged 6-14 years in Beijing, so as to provide a reference for preventing MetS. Methods: A cross sectional study was carried out in 2 086 records of 1 832 children from the 2017 and 2019 Nutrition and Health Surveillance in Primary and Secondary school students of Beijing (NHSPSB). Three day consecutive 24 hour dietary recalls combined with weighing household cooking oils and condiments were used to collect dietary intake and calculate DII. MetS was diagnosed according to "Definition and Suggestion on the Metabolic Syndrome of Chinese Children and Adolescent". The Generalized estimating equations (GEEs) models were used to analyze the association between DII and the presence of MetS and its components (abdominal obesity, high triglyceride, low high density lipoprotein cholesterol, hypertension, and hyperglycemia). Results: The mean DII score was (1.64±1.07) for the included children. No significant association was found between DII scores and the likelihood of MetS (per 1 point increment: OR =1.16, 95% CI =0.92-1.48, P >0.05). In terms of the components of MetS, DII scores were positively associated with the odds of high triglyceride (per 1 point increment: OR =1.17, 95% CI =1.01-1.36, P <0.05). There was no statistically significant difference in the association among different age groups ( P >0.05). No significant associations were observed between DII and other MetS components( P >0.05). Conclusion DII scores may not be correlated with the risk of MetS, but proinflammatory diet might increase the risk of high triglyceride. DII score in childhood should be emphasized to identify and prevent MetS as soon as possible.

OBJECTIVE To explore the mechanism of Kuaisong yin in the prevention and treatment of constipation. METHODS Slow transit constipation （STC） model was established with Compound difenoxylate tablet in mice and rats. Two batches of mice were divided into blank group， model group， positive control group （Maren soft capsule， 0.64 g/kg）， Kuaisong yin low-dose， medium-dose and high-dose groups （3.2， 6.4， 12.8 g/kg）， with 10 mice in each group. The effect of Kuaisong yin on constipation in mice was evaluated by intestinal propulsion experiment and defecation experiment. Rats were divided into blank group， model group， positive control group （Maren soft capsule，0.36 g/kg）， Kuaisong yin low-dose and high-dose groups （2.4， 4.8 g/kg）， with 7 or 8 rats in each group. They were given relevant medicine once a day for 1 week. The metabonomics of serum and urine of rats were analyzed by UPLC-Q-TOF-MS/MS technology. RESULTS Compared with model group， the ink propulsion rate and 5 h defecation volume of mice in Kuaisong yin high-dose group were significantly increased （P＜0.05）； the first defecation time of mice in Kuaisong yin medium-dose and high-dose groups was significantly shortened， and the quality of defecation was significantly reduced within 5 h （P＜0.05 or P＜0.01）. Serum metabonomics screened 16 compounds （such as proline， propionylcarnitine， hemolytic phosphatidylcholine， etc.） and 6 metabolic pathways （such as sphingomyelin metabolism， arginine and proline metabolism， sphingolipid biosynthesis-lactose and neolactone series）. Urine metabonomics screened 20 different metabolites （such as prostaglandin A2， L-valine， phosphatidylcholine， sphingomyelin， etc.） and 8 metabolic pathways （such as valine， leucine and isoleucine biosynthesis， sphingomyelin metabolism， pyruvate metabolism， etc.）. CONCLUSIONS Kuaisong yin can play a role in improving constipation by regulating different metabolites such as hemolytic phosphatidylcholine， phosphatidylcholine， prostaglandin A2， L-valine， proline， and regulating metabolic pathways such as multiple amino acid metabolism， sphingomyelin metabolism， etc.

Objective:To explore the expression and importance of Piezo1, E-cadherin, and Vimentin in nasal polyps patients. Methods:Thirty-five patients undergoing endoscopic sinus surgery under general anesthesia were streamed into 20 cases of nasal polyps（NP group） and 15 cases of simple septoplasty without any sinus disease（Control group）. Immunofluorescence staining and Western Blot were applied to detect the protein level of Piezo1, E-cadherin, and Vimentin in NP tissues and nasal polyp-derived primary human nasal epithelial cells（pHNECs）. Also, BEAS-2B cell lines were treated with human TGF-β1 protein to establish epithelial mesenchymal transition（EMT） model in vitro and quantitative real-time polymerase chain reaction were used to calculate Piezo1 and above biomarkers in the model. Results:Compared with control group, Piezo1 and Vimentin showed higher level while E-cadherin was lower in NP tissues and pHNECs.In EMT model in vitro, Piezo1 and Vimentin were demonstrated higher expression with decreased level of E-cadherin. Conclusion:The tendency of Piezo1 is consistent with the mesenchymal-related biomarker Vimentin, going against with epithelial-related biomarker E-cadherin, implying its involvement with EMT process in nasal polyps.
Humans ; Biomarkers/metabolism* ; Cadherins/metabolism* ; Chronic Disease ; Epithelial-Mesenchymal Transition ; Nasal Polyps/metabolism* ; Rhinosinusitis ; Sinusitis ; Transforming Growth Factor beta1/metabolism* ; Vimentin/metabolism*