1.Research progress on the role of macrophages in atherosclerosis
Wenxiu MA ; Li BAI ; Wen MA ; Tingting QI ; Haonan ZHANG ; Xuan WANG ; Xin ZHANG
Acta Universitatis Medicinalis Anhui 2026;61(4):770-775
Atherosclerosis (AS) is a chronic and inflammatory vascular disease. Macrophages are common immune cells and play an important role in the development of AS. In recent years, research has found that the formation of AS plaques is closely related to pathological and physiological processes such as macrophage polarization, energy metabolism, and lipid phagocytosis. This review aims to summarize the mechanism of macrophages in the development of AS, and to explore potential therapeutic methods for delaying AS by regulating macrophages, providing new ideas for the treatment and research of AS.
2.Current Research Status,Challenges,Differentiation and Treatment Strategies of Traditional Chinese Medicine for Gastroesophageal Reflux Disease
Fengyun WANG ; Mi LYU ; Bingduo ZHOU ; Beihua ZHANG ; Yi WANG ; Tingting XU ; Cong HE ; Xiaokang WANG ; Xin LIU ; Yang WANG ; Kaiyue HUANG ; Lusi XU ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(4):392-396
This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine (TCM) for gastroesophageal reflux disease (GERD). Studies demonstrate that TCM, based on the "disease-syndrome combination" approach, exhibits multi-target advantages in alleviating symptoms of various GERD subtypes, promoting mucosal repair, regulating emotions, and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy, strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions, promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory, human experience and clinical trial evidence, and optimizing integrated traditional and western medicine models to enhance GERD management.
3.RNF8 promotes DNA damage response through the ATM/CHK2 axis and affects cisplatin resistance in endometrial cancer cells
Cai Feifei ; Yang Tingting ; Shao Yang ; Ma Xin ; Qiang Ping ; Zhao Fang ; Xi Xingshu
Chinese Journal of Cancer Biotherapy 2026;33(8):830-839
[摘 要] 目的:探讨环指蛋白8(RNF8)对子宫内膜癌(EC)细胞顺铂(CDDP)敏感性的影响及可能机制。方法:基于在线数据库分析RNF8在EC组织中的表达及拷贝数变异;采用慢病毒介导shRNA稳定敲低Ishikawa细胞中RNF8表达并进行CDDP处理,按sh-NC+溶剂对照、sh-RNF8+溶剂对照、sh-NC + CDDP、sh-RNF8 + CDDP分组处理,并设置sh-RNF8 + CDDP + KU60019抑制实验。采用CCK-8、克隆形成、Annexin V-FITC/PI流式细胞术、Hoechst 33258/PI染色、WB及γ-H2AX免疫荧光检测细胞活力、克隆形成、凋亡、DNA损伤累积及ATM/CHK2通路相关蛋白表达。结果:RNF8在EC组织和细胞中表达升高。RNF8敲低降低细胞存活率和IC50,抑制克隆形成,并进一步增强CDDP诱导的凋亡;同时BAX、Cleaved-Caspase-3和γ-H2AX表达升高,BCL-2、p-ATM、p-CHK2和RAD21表达降低。KU60019处理进一步促进DNA损伤累积和细胞凋亡,并降低细胞活力。结论:RNF8可能通过ATM/CHK2轴促进DNA损伤应答并降低EC细胞对CDDP的敏感性;敲低RNF8可增加DNA损伤累积并增强CDDP敏感性。
4.Association mechanisms between the progression of metabolic dysfunction-associated fatty liver disease and multi-system comorbidities and integrated management strategies
Liping WANG ; Ya LI ; Yuebo REN ; Tingting HE ; Zhongxia WANG ; Liping YAN ; Simiao YU ; Jing JING ; Yongqiang SUN ; Aozhe ZHANG ; Xin WANG ; Xiaohe XIAO ; Yinying LU ; Ruilin WANG
Journal of Clinical Hepatology 2026;42(8):1933-1938
Metabolic dysfunction-associated fatty liver disease (MAFLD) has become the most common chronic liver disease worldwide. Its pathological process is centered on the “two-hit” theory, with gut-liver axis dysregulation running through the entire disease course from steatosis to liver cirrhosis and even hepatocellular carcinoma, and it forms an extensive cross-system regulatory mechanism with the metabolic, cardiovascular, renal, and psychological and nervous systems through multi-dimensional pathways such as the “gut-liver-brain axis”, the “liver-kidney axis”, and the “liver-heart axis”. Disease progression is not limited to the liver itself, and it also involves functional imbalance of multiple organ systems throughout the body. This article systematically elaborates on the association mechanism of “liver pathological progression-multi-axis regulation-comorbidity occurrence” in MAFLD, proposes synergistic management strategies integrating early screening based on risk stratification, targeted intervention, and multidisciplinary diagnosis and treatment, and analyzes the limitations of current research and future development directions, in order to provide a theoretical basis and practical guidance for precise diagnosis and treatment and individualized management of MAFLD.
5.Research progress of childhood obesity based on genomic and epigenomic biomarkers
Zhiwei XIA ; Hai ZHAO ; Tingting LIU ; Yan LI ; Junsheng HUO ; Xin GUO
Chinese Journal of Preventive Medicine 2025;59(7):1125-1130
Obesity represents a complex, heritable condition shaped by interactions among genetic, epigenetic, metagenomic, and environmental factors. Nevertheless, the mechanistic contributions of genetic variation and epigenetic regulation to obesity pathogenesis remain incompletely elucidated. Advances in molecular profiling technologies have enabled the identification of numerous biomarkers associated with childhood obesity phenotypes. These discoveries facilitate understanding of obesity etiology and its links to chronic diseases. This review synthesizes current research on genomic and epigenomic biomarkers influencing childhood obesity susceptibility, advances our comprehension of etiological heterogeneity and intervention strategies, and offers conceptual frameworks for precision prevention based on epigenetic mechanisms.
6.Epidemiological characteristics analysis of monkey injury cases caused in Qianlingshan Park, Guiyang City, Guizhou Province
Cai YANG ; Yun CHEN ; Yu CHANG ; Li LI ; Qiying PAN ; Tingting LU ; Dan CHEN ; Chengxian HE ; Mei HUANG ; Liusong YANG ; Tingqin RAO ; Su GUO ; Chong LUO ; Lihong ZHOU ; Xin MU ; Li LIU ; Yayu YANG ; Yuandong HU
Chinese Journal of Preventive Medicine 2025;59(10):1685-1690
Objective:To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment.Methods:A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson′s chi-square test.Results:Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ2=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ2=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ2=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions:This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.
7.Impact of diagnosis-intervention packet implementation on hospitalization costs for patients with lung malignancies
Xin LI ; Dan XU ; Xianzhen CHEN ; Yingying WANG ; Tingting YANG ; Yanfei GAO ; Haojie XIE
Chinese Journal of Hospital Administration 2025;41(2):157-164
Objective:To analyze the changes and structural variations in hospitalization costs for patients with lung malignancies after the implementation of diagnosis-intervention packet (DIP) payment system, and to evaluate its effectiveness.Methods:Data from the first page of medical records and hospitalization cost data from the hospital information system of a tertiary general hospital in Henan Province were extracted for patients diagnosed with lung malignancies from 2020 to 2023. The data were divided into pre-implementation group (2020—2021) and post-implementation group (2022—2023) based on the implementation time of DIP. Chi-square test, t test, and Wilcoxon rank-sum test were used to analyze the differences in basic characteristics and hospitalization costs of patients with lung malignancies before and after the implementation of DIP. Grey relational analysis was employed to examine the internal associations between total hospitalization costs and various cost components. Structural variation analysis was used to assess the changes in the structure of hospitalization costs after the implementation of DIP. Results:A total of 14 587 hospitalized patients with lung malignancies were included, with 6 807 cases in the pre-implementation group and 7 780 cases in the post-implementation group. The average length of hospital stay decreased from (13.17±6.74) days before implementation to (12.02±6.49) days after implementation ( P<0.05). The proportion of level-four surgeries increased from 46.4% to 57.0% ( P<0.05). The average hospitalization cost per patient with lung malignancies decreased from 56 952 yuan before DIP implementation to 55 560 yuan after implementation ( P<0.05). For patients with lung malignancies diagnosed as C34.1, C34.2, C34.3, and C34.8, the top four cost components most strongly associated with total hospitalization costs were treatment costs, material costs, comprehensive medical service costs, and diagnostic costs, with correlation coefficients all>0.80. For patients with C34.9, the top four cost components most strongly associated with total hospitalization costs were treatment costs, comprehensive medical service costs, diagnostic costs, and Western medicine costs, with correlation coefficients>0.95. For patients diagnosed as C34.1, C34.2, C34.3, and C34.9, diagnostic costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 75%, among which Western medicine costs and material costs showed negative variation. For patients diagnosed as C34.8, treatment costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 80%, among which Western medicine costs showed negative variation. Conclusions:The implementation of DIP reduced the hospitalization costs for patients with lung malignancies, optimized the structure of hospitalization costs, improved the efficiency of medical services, and promoted the rational allocation of medical resources.
8.Research progress of childhood obesity based on genomic and epigenomic biomarkers
Zhiwei XIA ; Hai ZHAO ; Tingting LIU ; Yan LI ; Junsheng HUO ; Xin GUO
Chinese Journal of Preventive Medicine 2025;59(7):1125-1130
Obesity represents a complex, heritable condition shaped by interactions among genetic, epigenetic, metagenomic, and environmental factors. Nevertheless, the mechanistic contributions of genetic variation and epigenetic regulation to obesity pathogenesis remain incompletely elucidated. Advances in molecular profiling technologies have enabled the identification of numerous biomarkers associated with childhood obesity phenotypes. These discoveries facilitate understanding of obesity etiology and its links to chronic diseases. This review synthesizes current research on genomic and epigenomic biomarkers influencing childhood obesity susceptibility, advances our comprehension of etiological heterogeneity and intervention strategies, and offers conceptual frameworks for precision prevention based on epigenetic mechanisms.
9.Epidemiological characteristics analysis of monkey injury cases caused in Qianlingshan Park, Guiyang City, Guizhou Province
Cai YANG ; Yun CHEN ; Yu CHANG ; Li LI ; Qiying PAN ; Tingting LU ; Dan CHEN ; Chengxian HE ; Mei HUANG ; Liusong YANG ; Tingqin RAO ; Su GUO ; Chong LUO ; Lihong ZHOU ; Xin MU ; Li LIU ; Yayu YANG ; Yuandong HU
Chinese Journal of Preventive Medicine 2025;59(10):1685-1690
Objective:To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment.Methods:A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson′s chi-square test.Results:Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ2=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ2=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ2=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions:This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.
10.A machine learning-based model for predicting the risk of diabetic kidney disease in type 2 diabetes mellitus
Tingting LI ; Peng SU ; Jinbo CHEN ; Xiaoyan HE ; Yi CAO ; Xin ZHANG ; Qingling TANG ; Xubin MIAO ; Xiaohua LIANG ; Dong MA
Chinese Journal of Diabetes 2025;33(4):241-247
Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853~0.891,0.865~0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

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