1.Updates and amendments of the Chinese Pharmacopoeia 2025 Edition (Volume Ⅰ)
LI Hao ; SHEN Mingrui ; ZHANG Pang ; ZHAI Weimin ; NI Long ; HAO Bo ; ZHAO Yuxin ; HE Yi ; MA Shuangcheng ; SHU Rong
Drug Standards of China 2025;26(1):017-022
The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.
2.Multi-Phase Contrast-Enhanced CT Clinical-Radiomics Model for Predicting Prognosis of Extrahepatic Cholangiocarcinoma After Surgery: A Single-Center Retrospective Study.
Shen-Bo ZHANG ; Zheng WANG ; Ge HU ; Si-Hang CHENG ; Zhi-Wei WANG ; Zheng-Yu JIN
Chinese Medical Sciences Journal 2025;40(3):161-170
OBJECTIVES:
To develop and validate a preoperative clinical-radiomics model for predicting overall survival (OS) and disease-free survival (DFS) in patients with extrahepatic cholangiocarcinoma (eCCA) undergoing radical resection.
METHODS:
In this retrospective study, consecutive patients with pathologically-confirmed eCCA who underwent radical resection at our institution from 2015 to 2022 were included. The patients were divided into a training cohort and a validation cohort according to the chronological order of their CT examinations. Least absolute shrinkage and selection operator (LASSO)-Cox regression was employed to select predictive radiomic features and clinical variables. The selected features and variables were incorporated into a Cox regression model. Model performance for 1-year OS and DFS prediction was assessed using calibration curves, area under receiver operating characteristic curve (AUC), and concordance index (C-index).
RESULTS:
This study included 123 patients (mean age 64.0 ± 8.4 years, 85 males/38 females), with 86 in the training cohort and 37 in the validation cohort. The OS-predicting model included four clinical variables and four radiomic features. It achieved a training cohort AUC of 0.858 (C-index = 0.800) and a validation cohort AUC of 0.649 (C-index = 0.605). The DFS-predicting model included four clinical variables and four other radiomic features. It achieved a training cohort AUC of 0.830 (C-index = 0.760) and a validation cohort AUC of 0.717 (C-index = 0.616).
CONCLUSIONS
The preoperative clinical-radiomics models show promise as a tool for predicting 1-year OS and DFS in eCCA patients after radical surgery.
Humans
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Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Cholangiocarcinoma/mortality*
;
Prognosis
;
Bile Duct Neoplasms/mortality*
;
Tomography, X-Ray Computed/methods*
;
Aged
;
Radiomics
3.Exploration of the Predictive Value of Peripheral Blood-related Indicators for EGFR Mutations and Prognosis in Non-small Cell Lung Cancer Using Machine Learning.
Shulei FU ; Shaodi WEN ; Jiaqiang ZHANG ; Xiaoyue DU ; Ru LI ; Bo SHEN
Chinese Journal of Lung Cancer 2025;28(2):105-113
BACKGROUND:
Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targets of targeted therapy for non-small cell lung cancer (NSCLC). However, due to the difficulty of obtaining some primary tissues and the economic factors in some underdeveloped areas, some patients cannot undergo traditional genetic testing. The aim of this study is to establish a machine learning (ML) model using non-invasive peripheral blood markers to explore the biomarkers closely related to EGFR mutation status in NSCLC and evaluate their potential prognostic value.
METHODS:
2642 lung cancer patients who visited Jiangsu Cancer Hospital from November 2016 to May 2023 were retrospectively enrolled and finally 175 NSCLC patients with complete follow-up data were included in the study. The ML model was constructed based on peripheral blood indicators and divided into training set and test set according to the ratio of 8:2. Unsupervised learning algorithms were used for clustering blood features and mutual information method for feature selection, and an ensemble learning algorithm based on Shapley value was designed to calculate the contribution of each feature to the model prediction result. The receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the model.
RESULTS:
Through the feature extraction and contribution analysis of the predictive results of the interpretable ML model based on the Shapley value, the top ten indicators with the highest contribution were: pathological type, phosphorus, eosinophils, monocyte count, activated partial thromboplastin time, potassium, total bilirubin, sodium, eosinophil percentage, and total cholesterol. The area under the curve (AUC) of the model was 0.80. In addition, patients with hyponatremia and squamous cell carcinoma group had a poor prognosis (P<0.05).
CONCLUSIONS
The interpretable model constructed in this study provides a new approach for the prediction of EGFR mutation status in NSCLC patients, which provides a scientific basis for the diagnosis and treatment of patients who cannot undergo genetic testing.
Humans
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Carcinoma, Non-Small-Cell Lung/diagnosis*
;
Machine Learning
;
Lung Neoplasms/diagnosis*
;
Male
;
Female
;
Mutation
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Middle Aged
;
ErbB Receptors/genetics*
;
Prognosis
;
Aged
;
Retrospective Studies
;
Adult
;
Biomarkers, Tumor/genetics*
4.Association of Body Mass Index with All-Cause Mortality and Cause-Specific Mortality in Rural China: 10-Year Follow-up of a Population-Based Multicenter Prospective Study.
Juan Juan HUANG ; Yuan Zhi DI ; Ling Yu SHEN ; Jian Guo LIANG ; Jiang DU ; Xue Fang CAO ; Wei Tao DUAN ; Ai Wei HE ; Jun LIANG ; Li Mei ZHU ; Zi Sen LIU ; Fang LIU ; Shu Min YANG ; Zu Hui XU ; Cheng CHEN ; Bin ZHANG ; Jiao Xia YAN ; Yan Chun LIANG ; Rong LIU ; Tao ZHU ; Hong Zhi LI ; Fei SHEN ; Bo Xuan FENG ; Yi Jun HE ; Zi Han LI ; Ya Qi ZHAO ; Tong Lei GUO ; Li Qiong BAI ; Wei LU ; Qi JIN ; Lei GAO ; He Nan XIN
Biomedical and Environmental Sciences 2025;38(10):1179-1193
OBJECTIVE:
This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study.
METHODS:
A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants.
RESULTS:
Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m 2) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m 2) and obesity (≥ 28.0 kg/m 2) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m 2 ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses.
CONCLUSION
This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans
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Body Mass Index
;
China/epidemiology*
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Male
;
Female
;
Middle Aged
;
Prospective Studies
;
Rural Population/statistics & numerical data*
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Aged
;
Follow-Up Studies
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Adult
;
Mortality
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Cause of Death
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Obesity/mortality*
;
Overweight/mortality*
5.Associations of Exposure to Typical Environmental Organic Pollutants with Cardiopulmonary Health and the Mediating Role of Oxidative Stress: A Randomized Crossover Study.
Ning GAO ; Bin WANG ; Ran ZHAO ; Han ZHANG ; Xiao Qian JIA ; Tian Xiang WU ; Meng Yuan REN ; Lu ZHAO ; Jia Zhang SHI ; Jing HUANG ; Shao Wei WU ; Guo Feng SHEN ; Bo PAN ; Ming Liang FANG
Biomedical and Environmental Sciences 2025;38(11):1388-1403
OBJECTIVE:
The study aim was to investigate the effects of exposure to multiple environmental organic pollutants on cardiopulmonary health with a focus on the potential mediating role of oxidative stress.
METHODS:
A repeated-measures randomized crossover study involving healthy college students in Beijing was conducted. Biological samples, including morning urine and venous blood, were collected to measure concentrations of 29 typical organic pollutants, including hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), bisphenol A and its substitutes, phthalates and their metabolites, parabens, and five biomarkers of oxidative stress. Health assessments included blood pressure measurements and lung function indicators.
RESULTS:
Urinary concentrations of 2-hydroxyphenanthrene (2-OH-PHE) ( β = 4.35% [95% confidence interval ( CI): 0.85%, 7.97%]), 3-hydroxyphenanthrene ( β = 3.44% [95% CI: 0.19%, 6.79%]), and 4-hydroxyphenanthrene (4-OH-PHE) ( β = 5.78% [95% CI: 1.27%, 10.5%]) were significantly and positively associated with systolic blood pressure. Exposures to 1-hydroxypyrene (1-OH-PYR) ( β = 3.05% [95% CI: -4.66%, -1.41%]), 2-OH-PHE ( β = 2.68% [95% CI: -4%, -1.34%]), and 4-OH-PHE ( β = 3% [95% CI: -4.68%, -1.29%]) were negatively associated with the ratio of forced expiratory volume in the first second to forced vital capacity. These findings highlight the adverse effects of exposure to multiple pollutants on cardiopulmonary health. Biomarkers of oxidative stress, including 8-hydroxy-2'-deoxyguanosine and extracellular superoxide dismutase, mediated the effects of multiple OH-PAHs on blood pressure and lung function.
CONCLUSION
Exposure to multiple organic pollutants can adversely affect cardiopulmonary health. Oxidative stress is a key mediator of the effects of OH-PAHs on blood pressure and lung function.
Humans
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Oxidative Stress/drug effects*
;
Male
;
Cross-Over Studies
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Female
;
Young Adult
;
Environmental Pollutants/toxicity*
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Environmental Exposure/adverse effects*
;
Biomarkers/blood*
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Adult
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Blood Pressure/drug effects*
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Polycyclic Aromatic Hydrocarbons/urine*
;
Beijing
6.Detecting Ketamine analogues in hair samples by QTRAP LC-MS/MS
Qiao YANG ; Facheng WU ; Xinyi SHEN ; Jian ZHANG ; Weiguang DING ; Bo WU
Chinese Journal of Forensic Medicine 2024;39(1):62-67
Objective To develop a method for the determination of ketamine analogues in hair samples by liquid chromatography quadrupole linear ion trap mass spectrometry(QTRAP LC-MS/MS).Methods 20 mg of washed and dried hair was added to 1 mL extracting solution and then prepared using an ultrasonic extraction with frozen pulverization method.After centrifugation and purification with membrane,the supernatant was separated in a ACQUITY UPLC? HSS T3 column with gradient elution,finally tested with multiple reaction monitoring for the detection of 10 ketamine analogues.The above method was applied for quantitative analysis of ethylfluamine,F-norketamine and tiletamine in 20 positive samples.Results When the concentration ranged from 0.01 to 2.00 ng/mg,there was good linearity for 10 ketamine analogues with the correlation coefficients over 0.99.The recoveries ranged from 89.1%to 106.1%,and the matrix effects were between 88.3%and 106.0%.Among the 20 positive samples,the contents of ethylfluamine,F-norketamine and tiletamine in hair ranged between 0.02~8.35 ng/mg,0.01~0.94 ng/mg and 0.02~10.93 ng/mg,respectively.Their mean values were 1.59 ng/mg,0.28 ng/mg and 2.69 ng/mg.Their medians were 0.40 ng/mg,0.19 ng/mg and 2.11 ng/mg.Conclusion The established method was simple,efficient,reliable and suitable for the determination of ketamine analogues in hair.The data provided reference for the drug control and forensic science practice.
7.Prevalence and influencing factors of work-related knee pain among workers in shoemaking industry
Jingwen ZHANG ; Yan YANG ; Si HUANG ; Jiaxin ZHENG ; Liangying MEI ; Jianchao CHEN ; Bo SHEN ; Huadong ZHANG ; Zhongxu WANG ; Zhi WANG ; Ning JIA
Journal of Environmental and Occupational Medicine 2024;41(6):648-654
Background Shoemaking industry workers are prone to work-related musculoskeletal disorders (WMSDs) due to long-term awkward postures during the work process. There is little research on the prevalence and influencing factors of WMSDs in the knee region of this industry, and it should be taken seriously. Objective To estimate the prevalence of work-related knee pain among shoemaking workers and analyze the related influencing factors. Methods A total of 6982 shoemaking workers were selected from 26 shoemaking factories in Guangdong, Hubei, Fujian, Chongqing, Shandong, Zhejiang, and Jingxi by convenience sampling. Prevalence of work-related knee pain in past year, demographic characteristics, occupational related factors, and work posture were collected by a cross-sectional survey using the electronic version of Musculoskeletal Disorder Questionnaire. Logistic regression analysis was used to analyze the influencing factors that may lead to work-related knee pain. Results This survey collected 6982 valid questionnaires with a recovery rate of 98.3%. The prevalence of work-related knee pain of shoemaking workers in the past 12 months was 13.0% (908/6982). According to the results of logistic regression analysis, compared with workers with less than 5 years of service, workers with 5-10 years of service (OR=1.21, 95%CI: 1.02, 1.45) and more than 10 years (1.53, 95%CI: 1.27, 1.83) showed a higher risk of knee WMSDs; sometimes, often and very frequent (reference : rarely or never) long-term standing (OR=1.33, 95%CI: 1.08, 1.64; OR=2.67, 95%CI: 2.10, 3.39; OR=2.75, 95%CI: 2.08, 3.63) and sometimes, often and very frequent (reference: rarely or never) long-term squatting or kneeling (OR=1.80, 95%CI: 1.47, 2.21; OR=2.43, 95%CI: 1.58, 3.75; OR=3.22, 95%CI: 1.66, 6.24) increased the risk of knee pain: long-term bending (OR=1.59, 95%CI: 1.34, 1.89) and often repeated movement of lower limbs and ankles (OR=1.48, 95%CI: 1.25, 1.75) were also risk factors for knee WMSDs among shoemaking industry workers (P<0.05). Adequate rest time (OR=0.58, 95%CI: 0.49, 0.68) and able to stretch or change leg posture (OR=0.75, 95%CI: 0.64, 0.88) reduced the risk of knee WMSDs (P<0.05). Conclusion In the shoemaking industry, length of service and awkward postures are risk factors for knee pain. The shoemaking enterprises should ensure that workers have sufficient rest time, reduce long-term standing, squatting, kneeling, and bending postures, as well as lower limbs repetition in order to reduce the occurrence of knee WMSDs of workers.
8.Developing Syllabus for Rare Breast Diseases Using the Integrated Multimodality of Case-/Problem-/Resource-Based Learning
Ru YAO ; Jiahui ZHANG ; Jie LIAN ; Yang QU ; Xinyue ZHANG ; Xin HUANG ; Lu GAO ; Jun ZHAO ; Li HUANG ; Yingzi JIANG ; Linzhi LUO ; Songjie SHEN ; Feng MAO ; Qiang SUN ; Bo PAN ; Yidong ZHOU
JOURNAL OF RARE DISEASES 2024;3(3):391-399
Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1%)keywords were identified through co-occurrence analysis,including 50(0.3%)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1%)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.
9.Treating Chronic Urticaria with the Method of Dredging Sanjiao (三焦)
Wei SONG ; Zhongyi ZHANG ; Bo JIA ; Tao SHEN ; Rudi AI ; Mingling CHEN ; Min XIAO
Journal of Traditional Chinese Medicine 2024;65(4):414-418
The membranous tube of sanjiao (三焦) is not only the path of the transport of fluid and qi, but the way of the invasion of pathogenic factors, therefore, it cooperates with the skin mucous membrane physically and influence on each other pathologically. It is believed that the core pathogenesis of chronic urticaria is pathogens intruding sanjiao, membrane collaterals acute spasm, and fluid and qi disturbance, of which defense qi insufficiency and pathogens intruding sanjiao initiates the disease, while struggle between healthy and pathogenic qi and membrane collaterals acute spasm is the intermediate stage, and disturbed fluid, qi and blood movement is the terminal stage. Following the core treatment principle of dredging sanjiao, the internal treatment is to open striae and interstices and dispel pathogens out using self-made Guben Shufeng Decoction(固本疏风汤)modifications, and the external treatment is to dredge and regulate membrane collaterals, move qi and fluid, and treat sanjiao simultaneously, commonly using cutting therapy on Danzhong (RN 17) to move qi and fluid, seal umbilical therapy on Shenque (RN 8) to supplement and nourish ying-wei (营卫), and natural moxibustion on Xuehai (SP 10) to move blood and unblock collaterals.
10.Urogenital solitary fibrous tumor: a review of 20 cases
Hongwei SHEN ; Bo JIANG ; Xin WANG ; Changwei JI ; Yongming DENG ; Shiwei ZHANG ; Hongqian GUO
Journal of Modern Urology 2024;29(2):130-135
【Objective】 To explore the diagnosis, treatment, prognosis and long-term follow-up of urogenital solitary fibrous tumor (SFT) and to differentiate the characteristics between benign and malignant SFT. 【Methods】 Clinical data of 20 patients with urogenital SFT treated in our hospital during Jan.2004 and Aug.2021 were respectively analyzed, including the general characteristics, clinical symptoms, imaging results, treatment methods, pathological results, and long-term follow-up results. 【Results】 Of the 20 cases, 9 cases had tumor in kidney, 7 in pelvic cavity, 3 in bladder and 1 in prostate.Six patients showed non-specific clinical symptoms, including lower extremity weakness, urodynia, dysuria, frequent urination with changes in stool habits, low back pain, and abdominal wall mass with abdominal pain, and the other 14 cases were asymptomatic.The median diameter of SFT was 5.2 cm (range:1.7-15.0 cm).All patients received surgical treatment, including robotic-assisted surgery in 8 cases, open surgery in 5 cases, laparoscopic surgery in 5 cases, and transurethral resection of tumor in 2 cases.CT plain scan showed high, low and mixed density soft tissue masses, and enhanced CT showed enhanced results.Pathology results revealed frequent nuclear divisions, morphological variations and necrosis in malignant SFT, which had higher expression of Ki-67 than benign SFT.The results of the modified Demicco prognostic risk stratification model showed that all malignant SFT cases were at intermediate risk. The DFS of the SFT radical tumor resection group was slightly longer than that of the simple tumor resection group but the difference was not statistically significant (P=0.203). 【Conclusion】 Markers such as CD34, Bcl2, STAT6 and CD99 are used to diagnose SFT, while Ki-67 and tumor necrosis are used to differentiate benign and malignant SFT.The modified Demicco prognostic risk stratification model plays an important role in predicting the prognosis of SFT.Surgical resection is the most common treatment with excellent prognosis.In addition, benign SFT has much better prognosis than malignant case.

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