1.Effect of community comprehensive management model intervention among patients with dyslipidemia
GAO Hui ; XIE Liang ; YAO Chunyang ; WANG Linhong ; JIN Liu ; HU Jie
Journal of Preventive Medicine 2026;38(1):15-19
Objective:
To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population.
Methods:
From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE).
Results:
The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group.
Conclusion
The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.
2.Over 20-year Follow-up Result of Total Knee Arthroplasty for Knee Arthropathy: A Single Center Cohort Study
Yiming XU ; Mingwei HU ; Wei ZHU ; Muyang YU ; Jin LIN ; Jin JIN ; Wenwei QIAN ; Bin FENG ; Xisheng WENG
Medical Journal of Peking Union Medical College Hospital 2025;16(1):35-41
To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up. This study was based on a previous cohort study that had completed follow-up. We retrospectively collected clinical data of patients with knee arthropathy (including knee osteoarthritis and knee rheumatoid arthritis) who received the first TKA operation in Peking Union Medical College Hospital from 1993 to 2002 and were followed up for more than 20 years, and conducted a unified follow-up on them in November 10, 2024 (the last follow-up). Kaplan-Meier curve was used to evaluate the survival rate. Hospitals for special surgery (HSS) scores and joint range of motion (ROM) were compared before surgery, 10 years after surgery and at the last follow-up to evaluate the clinical efficacy of TKA. Likert scale was used to evaluate patient satisfaction at the last follow-up. A total of 226 patients (246 knees) received their first TKA in Peking Union Medical College Hospital from 1993 to 2002 and were followed up for more than 10 years. Among them, 104 patients (131 knees) were included in the study at the last follow-up, including 21 patients (24 knees) with prosthesis in place, 18 patients (18 knees) who underwent reoperation for various reasons, and 65 patients (89 knees) who died from non-TKA surgical causes. Up to the last follow-up, there were 29 patients (35 knees) with an average follow-up of more than 20 years, and 12 patients (16 knees) completed HSS score, ROM measurement and patient satisfaction evaluation. Kaplan-Meier curve showed that the 10-year, 15-year, 20-year, and 25-year survival rates were 93.6%, 92.4%, 89.8%, and 71.8%, respectively. The HSS score at the last follow-up was lower than that at 10- year postoperative follow-up[(84.69±11.03) scores TKA treatment for knee arthropathy has high long-term prosthesis survival rate, significant improvement of knee joint function and high patient satisfaction.
3.Pathological changes in the total knee joint during spontaneous knee osteoarthritis in guinea pigs at different months of age
Xiaoshen HU ; Huijing LI ; Junling LYU ; Xianjun XIAO ; Juan LI ; Xiang LI ; Ling LIU ; Rongjiang JIN
Chinese Journal of Tissue Engineering Research 2025;29(11):2218-2224
BACKGROUND:The guinea pig is considered to be the most useful spontaneous model for evaluating primary osteoarthritis in humans because of its similar knee joint structure and close histopathologic features to those of humans. OBJECTIVE:To investigate the pathological process of spontaneous knee osteoarthritis in guinea pigs by analyzing the histopathology of the total knee joint of guinea pigs aged 1 to 18 months. METHODS:Eight healthy female Hartley guinea pigs in each age group of 1,6,10,14,16,and 18 months old were selected.The quadriceps femoris was taken for hematoxylin-eosin staining,and the total knee joint was stained with hematoxylin-eosin and toluidine blue.The histopathology of the cartilage,subchondral bone,synovium,meniscus,and muscles were observed under light microscope.Mankin's score and synovitis score were compared,and the correlation analysis was conducted. RESULTS AND CONCLUSION:As the guinea pig age increased,the Mankin's score increased(P<0.05),and the pathological score of synovitis also gradually increased(P<0.05),and there was a significant positive correlation between the two(r=0.641,P<0.001).The incidence rate of subchondral bone marrow lesion in 18-month-old guinea pigs was 50%,and the incidence of meniscus injury was 37.5%.In addition,osteophyte and narrowing of the joint space were observed,and only a few guinea pigs had inflammation in the quadriceps femoris.To conclude,guinea pigs develop significant cartilage defects,synovial inflammation,subchondral bone lesions,meniscus injury,osteophyte formation,and joint space narrowing as they age,all of which are similar to the pathological processes of primary knee osteoarthritis in humans,making it an ideal model of spontaneous knee osteoarthritis.
4.Cloning, subcellular localization and expression analysis of SmIAA7 gene from Salvia miltiorrhiza
Yu-ying HUANG ; Ying CHEN ; Bao-wei WANG ; Fan-yuan GUAN ; Yu-yan ZHENG ; Jing FAN ; Jin-ling WANG ; Xiu-hua HU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2025;60(2):514-525
The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified
5.Prediction of duloxetine blood concentration in patients with depression based on machine learning
Ming QIAO ; Lu JIN ; Yi ZHU ; Junping HU
China Pharmacy 2025;36(6):752-757
OBJECTIVE To provide medication reference for duloxetine use in clinical settings, particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set (196 cases) and test set (85 cases) in the ratio of 7∶3. Feature selection was performed by encapsulating random forests (RF) with recursive feature elimination. Four machine learning algorithms, namely support vector machine, RF, extreme gradient boosting (XGBoost) and artificial neural network, were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination (R2), mean absolute error (MAE) and root mean squared error (RMSE). The feature of the selected optimal model was explained by Shapley additive explanation method, and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected, including age, ethnicity, body mass index(BMI), etc. XGBoost showed the highest R2 (0.808), and the lowest MAE (7.644) and RMSE (10.808). The ranking of feature importance for predicting the blood concentration of duloxetine was as follows: BMI>age>other 20 feature sets (including liver and kidney function and biochemical indicators)>daily dosage>comorbidities>combination therapy>ethnicity>white blood cell count>hemoglobin>height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration; BMI and age have a greater impact on the prediction of duloxetine blood concentration.
6.Characteristics of PRR-derived exosomes and the proliferation abilities of HMEC-1 and BJ under different activation conditions: a comparative study
Lilan GAO ; Mengxing LYU ; Jianxiang LIU ; Meikun HU ; Xiaohong JIN ; Kexuan QU
Chinese Journal of Blood Transfusion 2025;38(3):343-351
[Objective] To compare the characteristics of platelet-rich plasma derived exosomes (PRP-Exos) under different activation conditions and their differential effects on the proliferation capacit of human microvascular endothelial cells (HMEC-1) and human skin fibroblasts (BJ). [Methods] Ten healthy volunteers were recruited, and 10 mL of venous blood anticoagulated with EDTA-K
7.Mechanisms of Gut Microbiota Influencing Reproductive Function via The Gut-Gonadal Axis
Ya-Qi ZHAO ; Li-Li QI ; Jin-Bo WANG ; Xu-Qi HU ; Meng-Ting WANG ; Hai-Guang MAO ; Qiu-Zhen SUN
Progress in Biochemistry and Biophysics 2025;52(5):1152-1164
Reproductive system diseases are among the primary contributors to the decline in social fertility rates and the intensification of aging, posing significant threats to both physical and mental health, as well as quality of life. Recent research has revealed the substantial potential of the gut microbiota in improving reproductive system diseases. Under healthy conditions, the gut microbiota maintains a dynamic balance, whereas dysfunction can trigger immune-inflammatory responses, metabolic disorders, and other issues, subsequently leading to reproductive system diseases through the gut-gonadal axis. Reproductive diseases, in turn, can exacerbate gut microbiota imbalance. This article reviews the impact of the gut microbiota and its metabolites on both male and female reproductive systems, analyzing changes in typical gut microorganisms and their metabolites related to reproductive function. The composition, diversity, and metabolites of gut bacteria, such as Bacteroides, Prevotella, and Firmicutes, including short-chain fatty acids, 5-hydroxytryptamine, γ-aminobutyric acid, and bile acids, are closely linked to reproductive function. As reproductive diseases develop, intestinal immune function typically undergoes changes, and the expression levels of immune-related factors, such as Toll-like receptors and inflammatory cytokines (including IL-6, TNF-α, and TGF-β), also vary. The gut microbiota and its metabolites influence reproductive hormones such as estrogen, luteinizing hormone, and testosterone, thereby affecting folliculogenesis and spermatogenesis. Additionally, the metabolism and absorption of vitamins can also impact spermatogenesis through the gut-testis axis. As the relationship between the gut microbiota and reproductive diseases becomes clearer, targeted regulation of the gut microbiota can be employed to address reproductive system issues in both humans and animals. This article discusses the regulation of the gut microbiota and intestinal immune function through microecological preparations, fecal microbiota transplantation, and drug therapy to treat reproductive diseases. Microbial preparations and drug therapy can help maintain the intestinal barrier and reduce chronic inflammation. Fecal microbiota transplantation involves transferring feces from healthy individuals into the recipient’s intestine, enhancing mucosal integrity and increasing microbial diversity. This article also delves into the underlying mechanisms by which the gut microbiota influences reproductive capacity through the gut-gonadal axis and explores the latest research in diagnosing and treating reproductive diseases using gut microbiota. The goal is to restore reproductive capacity by targeting the regulation of the gut microbiota. While the gut microbiota holds promise as a therapeutic target for reproductive diseases, several challenges remain. First, research on the association between gut microbiota and reproductive diseases is insufficient to establish a clear causal relationship, which is essential for proposing effective therapeutic methods targeting the gut microbiota. Second, although gut microbiota metabolites can influence lipid, glucose, and hormone synthesis and metabolism via various signaling pathways—thereby indirectly affecting ovarian and testicular function—more in-depth research is required to understand the direct effects of these metabolites on germ cells or granulosa cells. Lastly, the specific efficacy of gut microbiota in treating reproductive diseases is influenced by multiple factors, necessitating further mechanistic research and clinical studies to validate and optimize treatment regimens.
8.Disease Burden of Malignant Tumors Among Residents of Kunshan City, Jiangsu Province, 2006–2021
Zhouquan FAN ; Wenbin HU ; Yixu JIN ; Lyulin LU ; Jie ZHOU ; Lan TONG ; Wei QIN
Cancer Research on Prevention and Treatment 2025;52(5):411-417
Objective To analyze the burden of disease of malignant tumors in Kunshan City from 2006 to 2021. Methods The global burden of disease research methodology was applied. The indicators of cancer incidence, mortality, and disability-adjusted life years (DALYs) in Kunshan were calculated using the data from the Tumor Registry System and Death Registry System in Kunshan. The changes in cancer were compared. Results In 2021, the number of incidences and deaths and the DALYs of cancer were
9.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards*
;
Humans
;
Consensus
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Drugs, Chinese Herbal/therapeutic use*
;
Surveys and Questionnaires
10.Exploration of pharmacodynamic material basis and mechanism of Jinbei Oral Liquid against idiopathic pulmonary fibrosis based on UHPLC-Q-TOF-MS/MS and network pharmacology.
Jin-Chun LEI ; Si-Tong ZHANG ; Xian-Run HU ; Wen-Kang LIU ; Xue-Mei CHENG ; Xiao-Jun WU ; Wan-Sheng CHEN ; Man-Lin LI ; Chang-Hong WANG
China Journal of Chinese Materia Medica 2025;50(10):2825-2840
This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics*
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Animals
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Tandem Mass Spectrometry
;
Network Pharmacology
;
Rats
;
Chromatography, High Pressure Liquid
;
Rats, Sprague-Dawley
;
Male
;
Idiopathic Pulmonary Fibrosis/metabolism*
;
Humans
;
Administration, Oral
;
Protein Interaction Maps/drug effects*
;
Signal Transduction/drug effects*


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