AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.

The traditional teaching model centered on courses has disadvantages such as interdisciplinary barriers, repetitive learning of content, and students being unable to enter clinical practice early. The Human Body Overview I is a core course at the basic stage under the integrated curriculum system centered on "organ-systems" at Chongqing Medical University. The course deeply integrates interdisciplinary resources and reconstructs the contents of systematic anatomy, embryology, and physiology under the traditional teaching model. The "Three in One" curriculum ideology and politics are implemented to assist students in their comprehensive development. By strengthening the cultivation of clinical application abilities and empowering with virtual simulation technology, the teaching effectiveness and quality have been improved. The teaching practice of the Human Body Overview I suggests that the teaching reform of integrated curriculum at the basic stage has broken interdisciplinary barriers, avoided repetitive learning of contents, and promoted the cultivation of students' interdisciplinary integration ability and clinical application ability. It can provide a reference for the teaching reform of integrated curriculum for other colleges.

Paclitaxel (PTX), a valuable natural product derived from Taxus species, exhibits remarkable anti-cancer properties. It penetrates nanopores in microtubule walls, interacting with tubulin on the lumen surface and disrupting microtubule dynamics, thereby inducing cytotoxic effects in cancer cells. PTX and its derivatives have gained approval for treating various diseases due to their low toxicity, high efficiency, and broad-spectrum application. The widespread success and expanding applications of PTX have led to increased demand, raising concerns about accessibility. Consequently, researchers globally have focused on developing alternative production methods and applying nanocarriers in PTX delivery systems to enhance bioavailability. This review examines the challenges and advancements in PTX sourcing, production, physicochemical properties, anti-cancer mechanisms, clinical applications, trials, and chemo-immunotherapy. It aims to provide a comprehensive reference for the rational development and effective utilization of PTX.
Humans ; Paclitaxel/pharmacology* ; Antineoplastic Agents, Phytogenic/pharmacology* ; Neoplasms/drug therapy* ; Animals ; Taxus/chemistry*

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

The traditional teaching model centered on courses has disadvantages such as interdisciplinary barriers, repetitive learning of content, and students being unable to enter clinical practice early. The Human Body Overview I is a core course at the basic stage under the integrated curriculum system centered on "organ-systems" at Chongqing Medical University. The course deeply integrates interdisciplinary resources and reconstructs the contents of systematic anatomy, embryology, and physiology under the traditional teaching model. The "Three in One" curriculum ideology and politics are implemented to assist students in their comprehensive development. By strengthening the cultivation of clinical application abilities and empowering with virtual simulation technology, the teaching effectiveness and quality have been improved. The teaching practice of the Human Body Overview I suggests that the teaching reform of integrated curriculum at the basic stage has broken interdisciplinary barriers, avoided repetitive learning of contents, and promoted the cultivation of students' interdisciplinary integration ability and clinical application ability. It can provide a reference for the teaching reform of integrated curriculum for other colleges.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective To conduct a scoping review of studies related to latent class trajectory analysis of glucose metabolism indicators in diabetes mellitus patients,so as to clarify the method of latent category trajectory analysis,evaluation indicators and the changing trajectories of different glucose metabolism indicators in diabetes mellitus patients,and to establish foundation for diabetes management and research.Methods Based on Arksey's framework for scoping study,a literature search was performed in CNKI,Wanfang,CBM,Web of Science,PubMed,Embase,Cochrane Library,CINAHL database inception to January 28,2024.Totally 2 researchers independently screened the literature and extracted data.Results A total of 22 pieces of the literature were included.Latent class growth model was the most commonly used model in latent class trajectory analysis,and 4 softwares are available for implementation.The current evaluation indicators for trajectory results are various,with the Bayesian information criterion and average posterior probability as the most frequently utilized.Hemoglobin is the most commonly used glucose metabolism indicators for trajectory analysis,and the number of identified trajectories ranged from 2 to 5.Most studies showed that diabetic patients exhibited a"low-stable"pattern in glucose metabolism indicators.Conclusion Latent class trajectory analysis represents a novel longitudinal data analysis approach that can identify potential subgroups of diabetic patients with similar development trajectory.The models and evaluation indicators employed are diverse,and the stability test of the models can be enhanced in the future.Through trajectory identification,it is recommended that clinical staff pay greater attention to the longitudinal trend of the glucose metabolism indicators and incorporate it into the long-term blood glucose management goal of diabetic patients.

Objective:To analyze the impact of different intrauterine intervention methods and types of complications on fetal prognosis in cases of giant placental chorioangioma (CA), and determine the indications for various treatment methods by analyzing cases of adverse outcomes.Methods:Relevant articles were retrieved from China National Knowledge Infrastructure, VIP Database, Wanfang Database, and Yiigle using the keywords "placental chorioangioma" and "fetal edema" or "anemia" or "cardiomegaly" or "polyhydramnios," and from PubMed, Embase, and UpToDate databases using the keywords "placental chorionic angioma or chorioangioma" and "fetal edema" or "anemia" or "polyhydramnios" or "hyperdynamic circulation" up to June 30th 2023. The size of the angiomas, fetal complications, intrauterine intervention methods, gestational weeks at intervention, and pregnancy outcomes were analyzed. Fetal and neonatal deaths were defined as adverse outcomes. Statistical analysis was performed using an independent sample t-test, rank-sum test, or Chi-square test (continuity correction Chi-square test or Pearson Chi-square test). Results:(1) A total of 582 articles were retrieved, and 51 articles were finally included, comprising 65 cases. Based on the intrauterine intervention methods, these cases were divided into the symptomatic treatment group (17 cases) and the etiological treatment group (48 cases). There were no statistically significant differences between the two groups in the maximum diameter of the angiomas, the gestational weeks at intervention, or the gestational weeks at delivery. (2) The incidence of adverse outcomes was 3/17 in the symptomatic treatment group and 27.1% (13/48) in the etiological treatment group, with no statistically significant difference. In the etiological treatment group, the incidence of adverse outcomes in cases with fetal edema was 45.4% (10/22), which was significantly higher than the 11.5% (3/26) in cases without fetal edema, and the difference was statistically significant ( χ 2=6.94, P=0.008). (3) An analysis of 13 cases with adverse outcomes revealed that nine cases had highly vascularized chorioangiomas and/or blood supply vessels located close to the umbilical cord insertion point on the placenta, and nine were complicated by fetal edema. The incidence of adverse outcomes for fetoscopic laser coagulation/bipolar coagulation, radiofrequency or microwave ablation, bioglue embolization, anhydrous alcohol ablation, and microcoil embolization were 4/19, 3/4, 1/8, 2/9, and 3/6, respectively. Conclusions:Intrauterine treatment of CA should be individualized. Bioglue embolization may be the first-line treatment; Fetoscopic laser coagulation can be applied to cases where the blood supply vessels are small and superficial;Interstitial laser ablation and radiofrequency ablation can be used for branch-type CA when the main blood supply vessels are located within the hemangioma; Anhydrous alcohol ablation is contraindicated due to its risk of fetal circulation entry; Microcoil embolization has the risk of incomplete occlusion, which should be used with caution.

Objective:This study aimed to evaluate the value of CT-based radiomics machine learning models in predicting spread through air spaces(STAS)in lung adenocarcinoma(LUAD)and to determine the optimal peritumoral analysis region.Methods:Data from 378 pa-tients who underwent non-small cell lung cancer surgery at Zhejiang Cancer Hospital between January 2013 to January 2017 were retro-spectively analyzed.Logistic regression,random forest,and XGBoost models were constructed using regions extending 0,3,6,9,and 12 mm outward from the tumor margin.Results:The XGBoost model using the 6 mm peritumoral region performed best on the test set,with an AUC-ROC of 0.855(95%CI:0.756-0.950),followed by the XGBoost model using the 9 mm region.Decision curve analysis(DCA)indicated that the XGBoost models for the 6 mm and 9 mm regions had higher net clinical benefits.Feature analysis revealed that some wavelet trans-form features significantly contributed to STAS prediction.Conclusions:This preliminary study suggests that CT-based radiomics machine learning models have predictive value for STAS.The XGBoost model based on the 6 mm peritumoral region demonstrated the best perform-ance,and holds promise in assisting preoperative assessment.