OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Objective:To investigate the epidemic characteristics and trends of major natural focus diseases and vector-borne infectious diseases in Yantai City, and provide a basis for formulating reasonable prevention and control strategies.Methods:The descriptive analysis was conducted on the epidemic data of natural focal diseases and vector-borne infectious diseases in Yantai City collected from the Infectious Disease Surveillance and Reporting Management System, a subsystem of the China Disease Control and Prevention Information System, covering the period from January 1, 2019, to December 31, 2023.Results:From 2019 to 2023, a total of 2 746 cases of 12 kinds of natural focus diseases, vector-borne infectious diseases and zoonosis were reported in Yantai City. The top four diseases reported in incidence rate were severe fever with thrombocytopenia syndrome (SFTS, 3.13/100 000), brucellosis (2.57/100 000), hemorrhagic fever with renal syndrome (HFRS, 1.09/100 000), and scrub typhus (0.73/100 000). There were statistically significant differences in the reported incidence rate of the four major natural focus diseases and vector-borne infectious diseases between different years (χ 2 = 92.55, 34.88, 132.33, 39.95, P < 0.001). The four major natural focal diseases and vector-borne infectious diseases had reported cases throughout the year. SFTS cases peaked in June, accounting for 28.80% (320/1 111). Brucellosis cases were predominantly reported from March to August, accounting for 65.54% (599/914). HFRS cases peaked in November, accounting for 38.66% (150/388), while scrub typhus cases peaked in October, accounting for 69.88% (181/259). The top three districts/cities with the highest incidence of the four major natural focus diseases and vector-borne infectious diseases were Laizhou City (585 cases), Zhaoyuan City (377 cases), and Haiyang City (358 cases). The incidence rates of SFTS in women was higher than that in men (χ 2 = 13.92, P < 0.001), and the incidences rates of brucellosis and HFRS in men were higher than those in women (χ 2 = 123.09, 73.32, P < 0.001). The cases of the four diseases were mainly farmers, accounting for 76.06% (845/1 111), 78.12% (714/914), 81.44% (316/388), and 85.71% (222/259), respectively. Conclusions:From 2019 to 2023, the reported incidence rate of the four major natural focus diseases and vector-borne infectious diseases in Yantai City presents an overall upward trend, with obvious seasonal, regional and demographic characteristics. Targeted prevention and control measures should be developed for high-risk areas and populations based on the characteristics of different diseases.

BACKGROUND:Patch surgery by tension-free repair has become the first choice for treatment of abdominal hernias in recent years because of its effectiveness in reducing postoperative pain and recurrence rates compared to traditional suturing.OBJECTIVE:To summarize the advantages and disadvantages associated with the application of different hernia repair patch materials.METHODS:CNKI,Google Scholar,and PubMed databases were searched using Chinese and English search terms"abdominal wall defect,hernia patches,hernia treatment"for articles published from January 2018 to February 2024.A few classic early-onset articles were used to express the development of hernia repair.After preliminary screening by reading titles and abstracts,those with low relevance to hernia repair materials were excluded.Finally,90 articles were included for summarization.RESULTS AND CONCLUSION:Hernia repair patches can be divided into non-absorbable synthetic patches,absorbable synthetic patches,natural polymer patches,and composite patches based on different materials used.Non-absorbable patches have high mechanical strength and are beneficial for tissue healing in hernia areas,but long-term presence of patches in the body may trigger immune responses,leading to inflammation and pain.Absorbable synthetic patches and natural polymer patches have good tissue compatibility and degradability,but their mechanical strength is unstable.Composite material patches inherit the excellent mechanical properties of traditional non-absorbable patches and reduce the risk of complications through the design of absorbable parts.In subsequent studies of hernia repair patch materials,researchers should focus on how to combine novel technologies with composite patches to form multifunctionalized hernia repair materials.

According to the latest 2022 Global Cancer Burden report released by the World Health Organization's International Agency for Research on Cancer,the number of newly diagnosed cancer patients worldwide continues to rise,and this trend is expected to become more pronounced by 2050.In the same year,China's cancer incidence report for 2022 revealed that both the number of new cancer cases and cancer-related deaths have continued to increase compared to previous years,indicating a worrying situation.Amid the growing demand for effective cancer therapies,the development of anti-cancer drugs is gaining significant momentum.Traditional Chinese Medicine(TCM)has begun to play an increasingly prominent role in the anti-cancer drug market,contributing a unique"Chinese solution"to global cancer treatment.However,TCM is characterized by its multi-component,multi-pathway,and multi-target nature,making it challenging to comprehensively study its anti-cancer mechanisms using traditional research models.Consequently,there is an urgent need to develop new research models that align with the characteristics of TCM.Organoids,as an emerging technology and an ideal preclinical model for human diseases,address the limitations of traditional disease models in TCM research.Their application in the study of TCM's anti-cancer effects is rapidly expanding.This article reviews and summarizes the use of organoid technology in TCM-based anti-cancer research,analyzing its advantages,limitations and developmental trends.

Objective:To explore a systematic training for quick identification for diagnosis and treatment of the causes of reversible cardiac arrest,which was assisted by bedside ultrasound simulator combined with memory mnemonic,so as to improve the treatment skill of physicians for the causes of disease,and enhance the success rate of cardiopulmonary resuscitation.Methods:Thirty clinical resident doctors who were rotating in the emergency intensive care unit(ICU)of Xuanwu Hospital,Capital Medical University,from May 2023 to May 2024 were selected.The bedside ultrasound simulator combined with memory mnemonic was used to simulate training,which can improve the ability of resident doctors in quickly determining the cause of reversible cardiac arrest.The self-made questionnaire was used to investigate the baseline situation of resident doctors before they were trained,and the teaching effectiveness after they received training.After training,the grasping states of resident doctors for the cause of reversible cardiac arrest were detected through 10 kinds of clinical cases included pulmonary embolism,myocardial infarction,aortic dissection,pericardial tamponade,ventricular fibrillation,electrolyte disturbance,hypovolemic shock,tension pneumothorax,poisoning and hypothermia.Results:The duration of quick retelling of resident doctors for the causes of reversible cardiac arrest was(15.07±3.68)s after training,which was lower than(47.27±10.25)s before training,and the difference was significant(t=14.763,P<0.05).The awareness rate of them for the causes of reversible cardiac arrest was 100%after training,which was significantly higher than 3.33%before training,and the difference was significant(x2=56.129,P<0.05).The identification of resident doctor for ultrasonic image was zero basis before training,and the identification rate was 0%.All of resident doctors can achieve 100%identification for routine ultrasound,cardiac arrest,pericardial tamponade and ventricular fibrillation within the simulator after training,and the correct recognition rates of them for pulmonary embolism,tension pneumothorax,acute myocardial infarction and aortic dissection were respectively 86.67%,63.33%,70%and 66.67%.After training,the duration of correct recognition of resident doctors for pulmonary embolism,tension pneumothorax and acute myocardial infarction were respectively(58.77±19.61)s,(69.05±10.47)s and(75.52±10.51)s,all of which were less than the duration of incorrect recognition,and the differences were statistically significant(t=2.153,2.781,2.124,P<0.05).Conclusion:Ultrasound combined with memory mnemonic can help resident doctors to quickly establish the clinical thinking clue about hypoxia,hypovolemia,hypo/hyperkalemia,hypo/hyperthermia,hypo/hyperglycemia,tamponade cardiac,thrombosis pulmonary,thrombosis coronary,toxins,tension pneumothorax(5H5T)for the cause of reversible cardiac arrest,which will contribute to strengthen and improve the practical ability of clinician in quick judgement for reversible etiology.

Objective:To explore a systematic training for quick identification for diagnosis and treatment of the causes of reversible cardiac arrest,which was assisted by bedside ultrasound simulator combined with memory mnemonic,so as to improve the treatment skill of physicians for the causes of disease,and enhance the success rate of cardiopulmonary resuscitation.Methods:Thirty clinical resident doctors who were rotating in the emergency intensive care unit(ICU)of Xuanwu Hospital,Capital Medical University,from May 2023 to May 2024 were selected.The bedside ultrasound simulator combined with memory mnemonic was used to simulate training,which can improve the ability of resident doctors in quickly determining the cause of reversible cardiac arrest.The self-made questionnaire was used to investigate the baseline situation of resident doctors before they were trained,and the teaching effectiveness after they received training.After training,the grasping states of resident doctors for the cause of reversible cardiac arrest were detected through 10 kinds of clinical cases included pulmonary embolism,myocardial infarction,aortic dissection,pericardial tamponade,ventricular fibrillation,electrolyte disturbance,hypovolemic shock,tension pneumothorax,poisoning and hypothermia.Results:The duration of quick retelling of resident doctors for the causes of reversible cardiac arrest was(15.07±3.68)s after training,which was lower than(47.27±10.25)s before training,and the difference was significant(t=14.763,P<0.05).The awareness rate of them for the causes of reversible cardiac arrest was 100%after training,which was significantly higher than 3.33%before training,and the difference was significant(x2=56.129,P<0.05).The identification of resident doctor for ultrasonic image was zero basis before training,and the identification rate was 0%.All of resident doctors can achieve 100%identification for routine ultrasound,cardiac arrest,pericardial tamponade and ventricular fibrillation within the simulator after training,and the correct recognition rates of them for pulmonary embolism,tension pneumothorax,acute myocardial infarction and aortic dissection were respectively 86.67%,63.33%,70%and 66.67%.After training,the duration of correct recognition of resident doctors for pulmonary embolism,tension pneumothorax and acute myocardial infarction were respectively(58.77±19.61)s,(69.05±10.47)s and(75.52±10.51)s,all of which were less than the duration of incorrect recognition,and the differences were statistically significant(t=2.153,2.781,2.124,P<0.05).Conclusion:Ultrasound combined with memory mnemonic can help resident doctors to quickly establish the clinical thinking clue about hypoxia,hypovolemia,hypo/hyperkalemia,hypo/hyperthermia,hypo/hyperglycemia,tamponade cardiac,thrombosis pulmonary,thrombosis coronary,toxins,tension pneumothorax(5H5T)for the cause of reversible cardiac arrest,which will contribute to strengthen and improve the practical ability of clinician in quick judgement for reversible etiology.

OBJECTIVE To analyze the diagnosis of latent tuberculosis infection(LTBI)in hospitalized patients of a tertiary general hospital and investigate the current status of related comorbidities.METHODS The clinical data were collected from the 14 448 hospitalized patients who received tuberculin skin test(TST)or interferon-gamma release assay(IGRA)in China-Japan Friendship Hospital from Jan.1,2022 to Dec.31,2023,and the results were assessed.RESULTS The detection rate of LTBI was 23.62％(3413/14448)among the hospitalized patients who received the tests,and the rate of definite diagnosis was only 4.22％(144/3413).88.40％(3017/3413)of the hospitalized patients with LTBI had at least one type of comorbidity,and the top 5 comorbidities were in turn as follows:high blood pressure,hyperlipidemia,diabetes mellitus,malignant tumors and rheumatic immune disea-ses;the number of comorbidities was increased with the age(x2=291.199,P＜0.001).The rheumatic immune disease(73/144,50.69％)was the most common type of comorbidity among the hospitalized patients with definite diagnosis of LTBI,and less than half of the patients(66/144,45.83％)were treated in rheumatology and immu-nology department.CONCLUSION The two-way screening of LTBI and comorbidities is the core premise for the standardized management of LTBI.

BACKGROUND:Basement membrane genes are closely related to the occurrence and development of rheumatoid arthritis,but the role of basement membrane-related genes in the pathogenesis of rheumatoid arthritis under different traditional Chinese medicine patterns is not yet clear.OBJECTIVE:To explore the differences in the pathogenesis of rheumatoid arthritis with five different traditional Chinese medicine syndromes based on the analysis of basement membrane-related genes and transcriptomics,and to predict potential therapeutic drugs.METHODS:Rheumatoid arthritis-related traditional Chinese medicine syndrome microarray data and basement membrane-related genes were collected from the GEO database.The differentially expressed genes were screened using the R-limma package,and the expression trends were analyzed using the Mfuzz package.The protein-protein interaction network was constructed using the STRING database and key genes were selected using UPset.The differentially expressed genes were subjected to gene set enrichment analysis(GSEA)and enrichment analysis using the R-clusterProfiler package.Receiver operating characteristics curves were plotted to evaluate the diagnostic value of core basement membrane-related targets for each of the five syndromes.The immune infiltration of each syndrome was calculated using the CIBERSORT algorithm.Finally,potential traditional Chinese medicines and small molecule drugs targeting core basement membrane-related genes for the treatment of different traditional Chinese medicine syndromes of rheumatoid arthritis were predicted using SymMap and COREMINE databases.RESULTS AND CONCLUSION:(1)67,47,59,57,and 55 basement membrane-related differentially expressed genes were screened for the five traditional Chinese medicine syndromes of rheumatoid arthritis(obstruction syndrome,cold-dampness obstruction syndrome,liver-kidney deficiency syndrome,qi-blood deficiency syndrome,and blood stasis obstructing collaterals syndrome),with 5,7,5,3,and 5 key targets identified,respectively.(2)The most enriched biological processes in each syndrome were extracellular matrix adhesion,immune cell migration,collagen metabolism,and extracellular matrix receptor interaction,PI3K-Akt,focal adhesion,and Rap1 signaling pathways.(3)According to the predictions,Smilax glabra,Sargentodoxa cuneata,and Polygonatum sibiricum have the most potential as traditional Chinese medicines for the treatment of the five traditional Chinese medicine syndromes of rheumatoid arthritis by affecting basement membrane-related genes.(4)These results indicate that abnormal expression of basement membrane-related genes may affect the occurrence and development of rheumatoid arthritis through the regulation of cell adhesion,immune cell migration,and inflammatory reactions,among other pathways.These effects vary among different syndromes,with ITGA6 serving as a common diagnostic marker for the five traditional Chinese medicine syndromes of rheumatoid arthritis.Traditional Chinese medicines with heat-clearing and detoxifying properties may be potential effective drugs for the treatment of different syndromes of rheumatoid arthritis.

According to the latest 2022 Global Cancer Burden report released by the World Health Organization's International Agency for Research on Cancer,the number of newly diagnosed cancer patients worldwide continues to rise,and this trend is expected to become more pronounced by 2050.In the same year,China's cancer incidence report for 2022 revealed that both the number of new cancer cases and cancer-related deaths have continued to increase compared to previous years,indicating a worrying situation.Amid the growing demand for effective cancer therapies,the development of anti-cancer drugs is gaining significant momentum.Traditional Chinese Medicine(TCM)has begun to play an increasingly prominent role in the anti-cancer drug market,contributing a unique"Chinese solution"to global cancer treatment.However,TCM is characterized by its multi-component,multi-pathway,and multi-target nature,making it challenging to comprehensively study its anti-cancer mechanisms using traditional research models.Consequently,there is an urgent need to develop new research models that align with the characteristics of TCM.Organoids,as an emerging technology and an ideal preclinical model for human diseases,address the limitations of traditional disease models in TCM research.Their application in the study of TCM's anti-cancer effects is rapidly expanding.This article reviews and summarizes the use of organoid technology in TCM-based anti-cancer research,analyzing its advantages,limitations and developmental trends.

Objective To analyze the prevalence of latent tuberculosis infection(LTBI)among relevant healthcare workers(HCWs)in designated tuberculosis medical institutions(MIs)in Yantai City,and explore its influencing factors.Methods The cluster random sampling method was adopted to select two county-and district-level desig-nated tuberculosis MIs.All HCWs underwent questionnaire survey and creation tuberculin skin test(C-TST)at the same time,and the influencing factors for LTBI were analyzed.Results A total of 215 HCWs from designated tu-berculosis MIs were included for analysis,37 were diagnosed with LTBI,with an infection rate of 17.21％(95％CI:12.42％-22.93％).Multivariate logistic regression analysis showed that clinicians(OR=3.19,95％CI:1.05-9.69),laboratory technician(OR=5.90,95％CI:1.21-28.77),working years≥10 years(OR=3.31,95％CI:1.39-7.90),and tuberculosis history of family members(OR=6.49,95％CI:1.01-41.46)were independent risk factors for LTBI.Conclusion The infection risk of clinicians and laboratory technicians who directly contact with tuberculosis patients or Mycobacterium tuberculosis is higher than that of other HCWs,and is related to the length of working years.It is suggested that healthcare-associated infection control measures should be streng-thened,and tuberculosis active screening should be carried out regularly for HCWs in key departments.