Objective: To explore the association of milk tea consumption with comorbid of overweight/obesity and depressive symptoms among college students, so as to provide a reference for promoting the physical and mental health of college students. Methods: A questionnaire survey was conducted from August to October 2023 using convenience sampling among 13 920 students from nine universities in Shanghai, Jiangxi, and Hubei provinces (municipality directly under the central government). Information on college students demographic characteristics, milk tea consumption, overweight/obesity status, and depressive symptoms was collected. Chi square tests were used to compare the association between different demographic characteristics and milk tea consumption with comorbid overweight/obesity and depressive symptoms. Multivariate Logistic regression analysis was performed to infer the strength of the association. Results: The detection rate of comorbidity of overweight/obesity and depressive symptoms was 5.8% among college students. The univariate analysis revealed statistically significant differences in the detection rate of comorbidity of overweight/obesity and depressive symptoms among various groups, including gender, grade, parents education level, only child status, family economic status, meeting moderate to high levels of physical activity standards, sleep quality, and frequent fast food consumption ( χ 2= 82.10, 23.07, 8.91, 10.87 , 4.56, 47.60, 17.60, 386.74, 96.61, P <0.05). There were also statistically significant differences between groups based on milk tea consumption frequency and quantity ( χ 2=42.12, 38.76, P <0.01). Compared with the group of without consuming milk tea, Logistic regression analysis showed that college students who consumed milk tea 4-5 times and ≥6 times had higher risk of comorbid overweight/obesity and depressive symptoms ( OR =1.98, 2.46), and college students who consumed 1-1 500 mL and ≥3 000 mL of milk tea also had higher comorbidity risk ( OR =1.52, 1.22) ( P <0.05). Conclusions Frequent and excessive milk tea consumption among college students may increase the risk of comorbid of overweight/obesity and depressive symptoms. It is recommended to reduce the frequency and quantity of milk tea consumption to improve college students physical and mental health.

Objective To compare the differences in gut microbiota between cirrhosis patients receiving transjugular intrahepatic portosystemic shunt(TIPS)and those not,and explore the relationship between TIPS surgery and gut microbiota in order to provide new ideas for improving the prognosis of cirrhosis patients after TIPS surgery based on gut microbiota.Methods Those who had received TIPS surgery previously were assigned into the operation group,and those without the surgery served as the control group.Their stool samples were collected for 16S rRNA sequencing,and the correlation between gut microbiota and clinical indicators was analyzed.Results There were no significant differences in gender,age,body mass index(BMI),etiology and other baseline data between the 2 groups(P＞0.05),but obvious differences were observed in clinical serological indicators between them,including INR,APTT,RBC and PT counts,and HGB,ALP,ALB,total bilirubin(TBIL),and URE levels(P＜0.05).No statistical difference in alpha diversity was observed between the operation group and the control group(P＞0.05),but beta diversity was obviously different(P＜0.01),among which Bacteroides was increased in the operation group(P＜0.01)and Bifidobacterium was increased in the control group(P＜0.05).The function prediction analysis of gut microbiota showed that the metabolism of D-glutamine and D-glutamate(P＜0.05)and biosynthesis with secondary bile acids(P＜0.05)were up-regulated in the operation group compared with the control group.Correlation analysis between clinical indicators and flora indicated that TBIL and direct bilirubin(DBIL)were significantly correlated with the metabolic pathways of Bacteroides and Secondary bile acids biosynthesis.Conclusion Characteristic changes in gut microbiota are found in cirrhosis patients with and without TIPS surgery.Bacteroides may be involved in the regulation of metabolism of bile acids and thus increase bilirubin level.

Objective To verify the feasibility and effectiveness of the beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image.Methods A beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image was presented.The Monte Carlo simulation results of multi-energy X-ray spectra and single-energy X-ray energy deposition were saved as a hardening correction database.The rapid calculation of the multi-energy projection data was achieved by adapting the hardening correction database based on the step size of energy spectrum partitioning and specific energy spectrum distribution of the rays.Subsequently,a polynomial fitting was performed on the multi-energy projection data and the penetration lengths of the rays through the detected object,thus realizing the fitting of hardening correction parameters for X-ray image.Results The HU value curve of the X-ray image after beam hardening correction by the proposed method was flatter.Under the condition of a tube voltage of 120 kV and a step size of 10 keV,the uniformity of the X-ray image was improved by 29.40%.Compared with the traditional Monte Carlo beam hardening correction method,the proposed method effectively improved the efficiency of the beam hardening correction parameter fitting.Conclusion The proposed beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image is feasible and effective.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

Liquid chromatography-multiple-reaction monitoring (LC-MRM) has been widely recognized as the golden standard for multiple components-targeted quantitative analysis of complicated matrices,with extensive applications for analysis in such fields as chemical drugs, traditional Chinese medicines and foods.Unfortunately, when facing the task of quantitatively analyzing trace chemical components in complex matrices, MRM suffers dramatically from the background noise or matrix interference, leading to undesirable sensitivity and selectivity in terms of the lower limits of quantification (LOQ) and detection (LOD).In recent years, MRM cubed (MRM3), also known as MS3 scan, has received much attention because of its unique ability to significantly improve detection selectivity and sensitivity attributing to the successive ion filtering function, enabling LC-MRM3 as an emerging analytical tool.In this review,our attention is devoted to: 1) the illustration of the principle for MRM3; 2) parameter settings; and 3) the application progress of LC-MRM3 in such fields as the pursuit of biomarkers, pharmaceutical analysis, forensic analysis, toxicological analysis, food chemistry, and environmental analysis, aiming to provide a promising analytical tool of LC-MRM3 advantageous in the quantification analysis of trace chemical components in complex matrices.

Objective:To investigate the risk factors of acute lung injury (ALI) caused by Staphylococcus aureus infection, and to construct a risk warning model. Methods:Patients with Staphylococcus aureus infection confirmed by sputum or blood culture admitted to the Affiliated Hospital of Jiangnan University from January 1, 2020 to May 10, 2022 were enrolled and divided into ALI group and non-ALI group. The age, smoking status, C-reactive protein (CRP), procalcitonin (PCT), neutrophil-to-lymphocyte ratio (NLR), albumin, oxygenation index and other clinical data were compared between the two groups. Univariate analysis was performed by using independent sample t test and chi-square test. Binary logistic regression analysis was used to screen the independent risk factors of ALI caused by Staphylococcus aureus infection, and a risk warning model was constructed. The receiver operator characteristic (ROC) curve was used to evaluate the predictive ability of the model. Results:There were 96 cases of Staphylococcus aureus infection, including 68 cases (70.8%) in ALI group, of which 41 cases (60.3%) were positive in sputum culture and 27 cases (39.7%) were positive in blood culture. Compared with the non-ALI group, the proportion of patients aged ≥60 years in ALI group was lower (58.8%(40/68) vs 64.3%(18/28)), the proportion of smoking was higher (58.8%(40/68) vs 35.7%(10/28)), and the differences were both statistically significant ( χ2=0.76 and 0.03, respectively, both P<0.05). The levels of CRP, PCT and NLR in the ALI group were all higher than those in non-ALI group, while oxygenation index and albumin level were both lower, and the differences were all statistically significant ( t=-5.28, -3.46, -9.87, 12.83 and 3.08, respectively, all P<0.05). Binary logistic regression analysis showed that CRP (odds ratio ( OR)=1.973, 95% confidence interval (95% CI) 0.956 to 2.989), PCT ( OR=3.734, 95% CI 1.014 to 13.746), NLR ( OR=1.152, 95% CI 1.058 to 2.254) and albumin ( OR=1.527, 95% CI 1.110 to 2.102) were independent risk factors for ALI caused by Staphylococcus aureus infection. The areas under the ROC curve of CRP, PCT, NLR, albumin and the risk warning model constructed from the combination of four risk factors were 0.69, 0.81, 0.83, 0.78 and 0.93, respectively. The sensitivities were 65.14%, 89.91%, 84.40%, 56.88% and 98.17%, respectively. The specificities were 62.37%, 60.22%, 65.59%, 80.64% and 93.55%, respectively. The accuracy of the effectiveness test of the risk warning model was 84.97%. Conclusions:CRP, PCT, NLR and albumin are the independent risk factors for ALI caused by Staphylococcus aureus infection. The risk warning model based on the above factors has a good early warning effect on ALI caused by Staphylococcus aureus infection.

Abstract OBJECTIVE To develop a vancomycin individualized dosing-assisted decision platform suitable for practical clinical application scenarios and provide individualized dosing recommendations for the rational use of vancomycin. METHODS Based on the vancomycin population pharmacokinetic model that had been constructed and verified to be feasible, the vancomycin individualized assisted decision-making platform was developed by using Idea2019, JDK1.8, ETL and other software tools. The platform development had gone through three main stages, included ①requirement analysis; ②design stage; ③software testing and optimization. RESULTS The vancomycin individualized assisted decision-making platform, which was successfully developed and applied, had the advantages of simple page, perfect function and convenient operation, and was divided into four main modules according to functions, namely retrieval module, information module, concentration prediction module and reporting module. The platform could connect to the hospital intranet platform to automatically obtain patient information, medication information and blood concentration test results, and calculate individual pharmacokinetic parameters for subsequent concentration prediction based on the embedded population pharmacokinetic model, combined with individual parameters. The concentration prediction module incorporated the Bayesian feedback method with patient medication information, drug concentration measurement results and relevant covariate parameter values, took the guideline-recommended trough concentration and AUC range as the target value, calculated the individualized drug administration scheme that met the target concentration range, and set up custom simulation functions considering the actual clinical application scenarios, which was of more popularization and application value. CONCLUSION Based on the vancomycin population pharmacokinetic model that has been successfully constructed in the previous stage, with the assistance of Idea2019, JDK1.8, ETL and other software tools, a vancomycin individualized dosing-assisted decision platform has successfully constructed, which can more efficiently and conveniently assist monitoring pharmacists to provide individualized dosing advice for clinical use of vancomycin.

As a ligand-dependent transcription factor,retinoid-associated orphan receptor γt(RORyt)that controls T helper(Th)17 cell differentiation and interleukin(IL)-17 expression plays a critical role in the pro-gression of several inflammatory and autoimmune conditions.An emerging novel approach to the therapy of these diseases thus involves controlling the transcriptional capacity of RORyt to decrease Th17 cell development and IL-17 production.Several RORyt inhibitors including both antagonists and inverse agonists have been discovered to regulate the transcriptional activity of RORyt by binding to orthosteric-or allosteric-binding sites in the ligand-binding domain.Some of small-molecule inhibitors have entered clinical evaluations.Therefore,in current review,the role of RORyt in Th17 regulation and Th17-related inflammatory and autoimmune diseases was highlighted.Notably,the recently developed RORyt inhibitors were summarized,with an emphasis on their optimization from lead compounds,ef-ficacy,toxicity,mechanisms of action,and clinical trials.The limitations of current development in this area were also discussed to facilitate future research.

Rabdosia serra(R.serra),an important component of Chinese herbal tea,has traditionally been used to treat hepatitis,jaundice,cholecystitis,and colitis.However,the chemical composition of R.serra and its effect against colitis remain unclear.In this study,the chemical composition of the water extract of R.serra was analyzed using ultra performance liquid chromatography coupled with a hybrid linear ion trap quadrupole-orbitrap mass spectrometer(UPLC-LTQ-Orbitrap-MS).A total of 46 compounds,comprising ent-kaurane diterpenoids,flavonoids,phenolic acids,and steroids,were identified in the water extract of R.serra,and the extract could significantly alleviate dextran sulfate sodium salt-induced colitis by improving colon length,upregulating anti-inflammatory factors,downregulating proinflammatory fac-tors,and restoring the balance of T helper 17/T regulatory cells.R.serra also preserved intestinal barrier function by increasing the level of tight junction proteins(zonula occludens 1 and occludin)in mouse colonic tissue.In addition,R.serra modulated the gut microbiota composition by increasing bacterial richness and diversity,increasing the abundance of beneficial bacteria(Muribaculaceae,Bacteroides,Lactobacillus,and Prevotellaceae_UCG-O01),and decreasing the abundance of pathogenic bacteria(Turi-cibacter,Eubacterium_fissicatena_group,and Eubacterium_xylanophilum_group).Gut microbiota depletion by antibiotics further confirmed that R.serra alleviated colitis in a microbiota-dependent manner.Overall,our findings provide chemical and biological evidence for the potential application of R.serra in the management of colitis.

AIM: To study protective effects of the extract from Toona sinensis seeds on gastric mucosal injury in experimental mice. METHODS: The mice were given 200 mg/kg, 400 mg/kg of Toona sinensis seeds every day for 2 weeks and ethanol or aspirin was used to induce gastric mucosa injury model. The gastric mucosal injury index and injury inhibition rate were calculated, the levels of SOD, MDA in serum and the contents of ET-1, PGE