1.Effect and mechanism of Prunus mume against hepatic fibrosis
Feng HAO ; Ji LI ; Jing DU ; Yuchen OUYANG ; Yichun CUI ; Shuang WEI
China Pharmacy 2025;36(2):172-178
OBJECTIVE To explore the effect and mechanism of Prunus mume against hepatic fibrosis (HF). METHODS Male SD rats were randomly divided into normal control group (n=10) and modeling group (n=50). The modeling group established HF model using carbon tetrachloride. The modeled rats were randomly divided into model group (normal saline), positive control group [colchicine, 0.09 mg/(kg·d)], and P. mume low-dose, medium-dose and high-dose groups [1.35, 2.70, 5.40 g/(kg·d)], with 9 rats in each group. They were given the corresponding drug/normal saline intragastrically, once a day, for 8 consecutive weeks. After the last medication, the liver index was calculated, while liver function indexes, liver fiber indexes, oxidative stress indicators and inflammatory factors of rats were measured. HE staining was used to observe the pathological changes in liver tissue of rats; Masson staining was used to observe the degree of HF in liver tissue of rats; transmission electron microscopy was used to observe the ultrastructure of liver tissue in rats; TUNEL staining was used to detect liver cell apoptosis in each group of rats. Western blot method was used to detect the protein expressions of transforming growth factor-β1 (TGF-β1) and platelet-derived growth factor (PDGF) in liver tissue of rats. RESULTS Compared with normal control group, the levels of alanine transaminase, alkaline phosphatase, aspartate transaminase, total bilirubin, malondialdehyde, procollagen type Ⅲ protein, Ⅳ-type pre collagenase, laminin, hyaluronic acid, interleukin-6, tumor necrosis factor-α, as well as the protein expressions of TGF-β1 and PDGF in model group were increased significantly, while the levels of superoxide dismutase and glutathione peroxidase were significantly reduced (P<0.01); the HE, Masson staining and transmission electron microscopy observation results showed obvious HF characteristics in rats of model group. Compared with model group, varying degrees of improvement in above indexes were observed in P. mume groups, and the above 2021BSZR011) indicators of rats in P. mume medium-dose and high-dose groups were reversed significantly (P<0.05 or P<0.01). CONCLUSIONS P. mume has an anti-HF effect, which may be achieved through mechanisms such as antioxidation, anti-inflammation, reduction of collagen production, inhibition of PDGF protein expression, and regulation of TGF- β1 signaling pathway.
2.Effect and mechanism of Prunus mume against hepatic fibrosis
Feng HAO ; Ji LI ; Jing DU ; Yuchen OUYANG ; Yichun CUI ; Shuang WEI
China Pharmacy 2025;36(2):172-178
OBJECTIVE To explore the effect and mechanism of Prunus mume against hepatic fibrosis (HF). METHODS Male SD rats were randomly divided into normal control group (n=10) and modeling group (n=50). The modeling group established HF model using carbon tetrachloride. The modeled rats were randomly divided into model group (normal saline), positive control group [colchicine, 0.09 mg/(kg·d)], and P. mume low-dose, medium-dose and high-dose groups [1.35, 2.70, 5.40 g/(kg·d)], with 9 rats in each group. They were given the corresponding drug/normal saline intragastrically, once a day, for 8 consecutive weeks. After the last medication, the liver index was calculated, while liver function indexes, liver fiber indexes, oxidative stress indicators and inflammatory factors of rats were measured. HE staining was used to observe the pathological changes in liver tissue of rats; Masson staining was used to observe the degree of HF in liver tissue of rats; transmission electron microscopy was used to observe the ultrastructure of liver tissue in rats; TUNEL staining was used to detect liver cell apoptosis in each group of rats. Western blot method was used to detect the protein expressions of transforming growth factor-β1 (TGF-β1) and platelet-derived growth factor (PDGF) in liver tissue of rats. RESULTS Compared with normal control group, the levels of alanine transaminase, alkaline phosphatase, aspartate transaminase, total bilirubin, malondialdehyde, procollagen type Ⅲ protein, Ⅳ-type pre collagenase, laminin, hyaluronic acid, interleukin-6, tumor necrosis factor-α, as well as the protein expressions of TGF-β1 and PDGF in model group were increased significantly, while the levels of superoxide dismutase and glutathione peroxidase were significantly reduced (P<0.01); the HE, Masson staining and transmission electron microscopy observation results showed obvious HF characteristics in rats of model group. Compared with model group, varying degrees of improvement in above indexes were observed in P. mume groups, and the above 2021BSZR011) indicators of rats in P. mume medium-dose and high-dose groups were reversed significantly (P<0.05 or P<0.01). CONCLUSIONS P. mume has an anti-HF effect, which may be achieved through mechanisms such as antioxidation, anti-inflammation, reduction of collagen production, inhibition of PDGF protein expression, and regulation of TGF- β1 signaling pathway.
3.Differences Between Adolescent Depression and Healthy Controls in Biomarkers Associated With Immune or Inflammatory Processes: A Systematic Review and Meta-Analysis
Jiao LI ; Yan ZHANG ; Ning YANG ; Jing DU ; Pule LIU ; Wenchong DAI ; Qiangli DONG
Psychiatry Investigation 2025;22(2):119-129
Objective:
Adolescent depression is a highly prevalent and disabling mental disorder with unclear pathophysiology and unfavorable treatment outcomes. Recent efforts have been focusing on searching for biomarkers as specific indicators of adolescent depression. We performed a systematic literature review and meta-analysis, specifically including studies with healthy control groups as an inclusion criterion. This approach helps to avoid confounding factors and provides more accurate results regarding the inflammatory and immune biomarkers associated with adolescent depression.
Methods:
Three electronic databases were searched for studies comparing the means and changes in the biomarkers between depressed adolescent patients and healthy controls published in English until February 2024. Two authors independently performed the screening, quality assessment, and data extraction of the studies. A meta-analysis was conducted on outcomes reported by two or more studies using a random-effects model and presented Forrest plots and test statistics (I2) for heterogeneity analysis.
Results:
Nine studies were included in the review, including seven case-control studies and two cross-sectional studies. These studies included 24 target biomarkers, 13 of which were quantified in 2 or more studies. Compared to the healthy controls, the depressed adolescents had significantly higher values in ten indicators. Additionally, the depressed adolescents had lower procalcitonin levels than the healthy controls. The two groups showed no significant differences in the remaining 13 biomarkers.
Conclusion
Our findings offer fresh insights into the pathophysiology of inflammatory and immune aspects of adolescent depression and provide helpful guidance in developing targeted and effective intervention and prevention strategies to address adolescent depression.
4.Association Between the Coexistence of Chronic Non-communicable Diseases and Quality of Life in Middle-aged and Elderly People Living with HIV/AIDS
Yao ZHANG ; Chi ZHANG ; Cong LIU ; Haidan ZHONG ; Peishan DU ; Quanmin LI ; Linghua LI ; Jing GU
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(1):161-171
ObjectiveTo investigate the prevalence rate of chronic non-communicable diseases (NCDs) and the association with quality of life in middle-aged and elderly patients with HIV/AIDS. MethodsThis cross-sectional study surveyed 432 patients with HIV/AIDS (aged≥45 years) in the Infectious Disease Center in Guangzhou Eighth People’s Hospital of Guangzhou Medical University, and 366 participants were included in the analysis after quality control. A questionnaire and the EuroQol 5-Dimensional 3-level version (EQ-5D-3L) were used to investigate NCDs and quality of life and Tobit regression model was used to estimate the association between chronic diseases and quality of life. ResultsAmong the 366 participants, 29(7.9%) had cardiovascular disease, 45(12.3%) had hypertension, 122(33.3%) had hyperglycemia, 151(41.3%)had hyperlipidemia,7(1.9%) had cancer, 17 (4.6%) had chronic kidney disease, 38 (10.4%) had chronic liver disease, 21(5.7%) had musculoskeletal disorders, and 253(69.1%) suffered from at least one type of chronic diseases. The median (lower and upper quartiles) of EQ-5D utility index was 1.000(0.964~1.000). Multivariate Tobit regression results of the total population showed that cancer [ba=-0.08,95%CI (-0.15,-0.01),P=0.036], chronic kidney disease [ba=-0.07, 95%CI (-0.12,-0.02),P=0.006], musculoskeletal disease [ba=-0.09, 95%CI (-0.13, -0.05),P<0.001], and ≥3 types of chronic diseases[ba=-0.05, 95%CI(-0.08,-0.01),P=0.013] were negatively correlated with EQ-5D utility index. The stratified analysis results of different CD4+T cell levels showed that hypertension [ba=-0.07, 95%CI (-0.12, -0.02), P=0.007], chronic kidney disease [ba=-0.10,95%CI (-0.18,-0.03), P=0.006], musculoskeletal disease [ba=-0.15, 95%CI (-0.22,-0.07), P<0.001] and ≥3 types of chronic diseases [ba=-0.09, 95%CI (-0.09, -0.01), P<0.001] were negatively correlated with EQ-5D utility index in the group with CD4≤500 (cells/μL), whereas cancer[ba=-0.11, 95%CI (-0.20,-0.01), P=0.031] was negatively correlated with EQ-5D utility index in the group with CD4>500(cells/μL). ConclusionsThe prevalence rate of chronic non-communicable diseases in middle-aged and elderly patients with HIV/AIDS is relatively high. The classification of NCDs such as cancer or chronic kidney disease or other chronic diseases and the numbers of NCDs categories are negatively correlated with quality of life. However,this association varies among patients with HIV/AIDS of different CD4+T cell levels. It is suggested that we should try to prevent and identify NCDs at an early stage, strengthen linkages and integration of health services for AIDS and chronic NCDs, and jointly manage and control AIDS with chronic diseases to improve the quality of life among people living with HIV/AIDS.
5.Risk prediction model of anastomotic fistula after radical resection of esophageal cancer: A systematic review and meta-analysis
Tao LI ; Yunlan JIANG ; Jing KANG ; Shuang SONG ; Qiufeng DU ; Xiaodong YI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(03):385-392
Objective To systematically evaluate the risk prediction model of anastomotic fistula after radical resection of esophageal cancer, and to provide objective basis for selecting a suitable model. Methods A comprehensive search was conducted on Chinese and English databases including CNKI, Wanfang, VIP, CBM, PubMed, EMbase, Web of Science, The Cochrane Library for relevant studies on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer from inception to April 30, 2023. Two researchers independently screened literatures and extracted data information. PROBAST tool was used to assess the risk of bias and applicability of included literatures. Meta-analysis was performed on the predictive value of common predictors in the model with RevMan 5.3 software. Results A total of 18 studies were included, including 11 Chinese literatures and 7 English literatures. The area under the curve (AUC) of the prediction models ranged from 0.68 to 0.954, and the AUC of 10 models was >0.8, indicating that the prediction performance was good, but the risk of bias in the included studies was high, mainly in the field of research design and data analysis. The results of the meta-analysis on common predictors showed that age, history of hypertension, history of diabetes, C-reactive protein, history of preoperative chemotherapy, hypoproteinemia, peripheral vascular disease, pulmonary infection, and calcification of gastric omental vascular branches are effective predictors for the occurrence of anastomotic leakage after radical surgery for esophageal cancer (P<0.05). Conclusion The study on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer is still in the development stage. Future studies can refer to the common predictors summarized by this study, and select appropriate methods to develop and verify the anastomotic fistula prediction model in combination with clinical practice, so as to provide targeted preventive measures for patients with high-risk anastomotic fistula as soon as possible.
6.Treatment Strategy of Fire Acupuncture by Repeated Shallow Needling Method for Refractory Facial Paralysis Based on the Pathogenesis of "Channel Sinews Deficiency and Stasis"
Bing HONG ; Chao YANG ; Zijing WANG ; Jing LIU ; Shuo DU ; Wenhui WANG ; Jiping ZHAO
Journal of Traditional Chinese Medicine 2025;66(7):741-745
It is regarded that the disease location of refractory facial paralysis is in the channel sinews of the face, with its primary pathogenesis characterized by a combination of deficiency and stasis of the channel sinews. The integration of repeated shallow needling method and fire acupuncture can first remove stagnation within the channel sinews, and second utilize the warming effect of fire to reinforce yang, stimulate meridian qi, and nourish the channel sinews. This approach balances both supplementation and drainage manipulation, aligning with the underlying pathogenesis of deficiency and stasis combination. In clinical practice, diagnostic methods should be applied flexibly to accurately identify the affected channel sinews. The severity of facial symptoms, the size and mobility of the paralyzed facial muscles, as well as the depth and size of the reactive points identified through palpation, should be considered when determining the extent of the condition. By adjusting the appropriate level of stimulation, the fire acupuncture with repeated shallow needling method could effectively improve facial muscle morphology and function, promoting recovery from the disease.
7.Evaluation of the performance of the artificial intelligence - enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula
Jihua ZHOU ; Shaowen BAI ; Liang SHI ; Jianfeng ZHANG ; Chunhong DU ; Jing SONG ; Zongya ZHANG ; Jiaqi YAN ; Andong WU ; Yi DONG ; Kun YANG
Chinese Journal of Schistosomiasis Control 2025;37(1):55-60
Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ2 = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ2 = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ2 = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ2 = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ2 = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ2 = 5.604, Padjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.
8.Correlation between the health literacy of reducing salt,oil and sugar on overweight and obesity among fourthgrade elementary school students and their parents
HAO Ying, LIU Danru, CHEN Xianxian, REN Jie, XU Cong, DU Fengjun, GUO Xiaolei, DONG Jing, MA Jixiang
Chinese Journal of School Health 2025;46(4):489-493
Objective:
To analyze the effects of health literacy on overweight and obesity among primary school students and their parents in terms of salt, oil and sugar reduction (referred to as the "three reductions"), so as to provide a theoretical basis for the development of obesity control measures.
Methods:
From March to April 2024, a total of 1 022 fourthgrade primary school students and 913 parents were surveyed in 24 classes in six counties in Shandong Province using multistage cluster random sampling, and physical measurements of primary school students were conducted. Pearsons correlation analysis and ordered multivariate Logistic regression were used to investigate the associations between health literacy of primary school students and their parents with overweight and obesity among children.
Results:
The detection rates of overweight and obesity primary school students in Shandong Province were 14.87% and 24.66%, respectively, with significant sex difference in obesity rate (29.46% for boys and 19.76% for girls) (χ2=12.93, P<0.01). In addition to students reducing oil scores, parental reducing salt,reducing oil,reducing sugar, comprehensive health literacy scores and students reducing salt,reducing sugar and comprehensive health literacy scores showed a negative relationship with students overweight and obesity (r=-0.10, -0.08, -0.07, -0.10, -0.04, -0.07, -0.03, P<0.05). The overweight and obesity rates among primary school students with high parental reducing salt,reducing oil,reducing sugar and composite health literacy scores were lower (OR=0.69, 0.69, 0.71, 0.63, P<0.05); and the overweight and obesity rate among students with high parental and low parental and high and low parental health literacy scores were lower (OR=0.68, 0.57, P<0.05).
Conclusion
Improving health literacy regarding "three reductions" for parents and children, especially parents, can effectively reduce the risk of childhood overweight and obesity.
9.The Application Status and Trends of Data-Intelligence Technology in the Diagnosis of Lysosomal Storage Diseases
Xinyu DU ; Shengfeng WANG ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):112-121
To summarize the applications of data-intelligence technology in diagnosing lysosomal storage disease(LSD), analyze their opportunities and challenges in clinical practice as well as their development trends, and provide insights and recommendations for advancing digitally driven auxiliary diagnostic technologies. A comprehensive literature search was conducted across databases including PubMed, Web of Science, Embase, CNKI, Wanfang Database, and VIP. The studies focusing on the application of digital-intelligence technologies in LSD diagnosis were included. A qualitative analysis was performed, categorizing and summarizing research based on the types of digital-intelligence technologies employed, and exploring future development trends. The analysis revealed that digital-intelligence technologies, particularly in areas such as big data storage and management, data mining and analytics, machine learning, natural language processing, and computer vision, held significant potential for early screening and diagnosis of LSD. These technologies facilitated the identification of potential patients, discovery of new biomarkers, quantitative analysis of symptoms, and elucidation of gene-disease relationships, ultimately enhancing diagnostic efficiency and accuracy. Digital-intelli-gence technologies present promising prospects for advancing LSD diagnostic research and improving diagnostic precision. Future efforts should focus on developing a comprehensive, multidimensional diagnosis system and diagnostic technologies under the guidance of the DI-HEALTH theoretical framework, in the hope of paving the way for further development of digitally assisted diagnostic solutions.
10.Synergistic Activation of LEPR and ADRB2 Induced by Leptin Enhances Reactive Oxygen Specie Generation in Triple-Negative Breast Cancer Cells
Chang LIU ; Jing YU ; Yongjun DU ; Yu XIE ; Xiaofei SONG ; Chang LIU ; Yan YAN ; Yue WANG ; Junfang QIN
Cancer Research and Treatment 2025;57(2):457-477
Purpose:
Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear.
Materials and Methods:
The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2.
Results:
LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects.
Conclusion
This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.


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