1.Staged Efficacy of Qijia Rougan Prescription Combined with Entecavir for Chronic Hepatitis B-related Hepatic Fibrosis with Qi Deficiency and Collateral Stasis Syndrome Based on "Zhu Ke Jiao" Theory
Baixue LI ; Xin WANG ; Jibin LIU ; Li WEN ; Cen JIANG ; Wenjun WU ; Dong WANG ; Shuwan LIU ; Huabao LIU ; Yongli ZHENG ; Liang HUANG ; Yue SU ; Song ZHANG ; Yanan SHANG ; Hang ZHOU ; Quansheng FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):180-188
ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory, Qijia Rougan prescription, combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted, and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis (CHB-HF) who met the diagnosis and inclusion criteria were randomly assigned to an observation group (Qijia Rougan prescription + entecavir) and a control group (entecavir). The treatment duration was 24 weeks. Liver stiffness measurement (LSM), fibrosis-4 index (FIB-4), portal vein diameter, hepatitis B serology, biochemical indicators, hepatic fibrosis markers in serum [hyaluronic acid (HA), laminin (LN), procollagen Ⅲ peptide (PⅢP), and type Ⅳ collagen (Ⅳ-C)], and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis, with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment, the observation group showed a significant reduction in LSM and FIB-4 (P<0.01), as well as notable improvements in LN, Ⅳ-C, and various TCM syndrome scores (P<0.05, P<0.01). When compared to the control group after treatment, the observation group demonstrated significant improvements in LSM, FIB-4, and various TCM syndrome score indicators (P<0.05, P<0.01), indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment, the observation group had better improvement in regression of stages F2 and F3 (P<0.05). When compared to the control group after treatment, the observation group exhibited superior improvement in regression of stage F3 (P<0.05). No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone, the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3, which is a potential “interception” point of the “Zhu Ke Jiao” theory.
2.Wisdom Inheritance of Distinguished Physicians' Experience Through Integration of Multimodal Data and AIGC: A Case Study on Experience in Diagnosis and Treatment of Lung Cancer with Phlegm-dampness and Blood Stasis Syndrome by Distinguished Traditional Chinese Medicine Physicians of Sichuan School
Yang YU ; Yadong MU ; Wenping LIU ; Chongcheng XI ; Li ZHANG ; Yan GAO ; Cen JIANG ; Quansheng FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):14-25
Lung cancer, with persistently high incidence and mortality rates, remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example, the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome, which was formed in response to the humid and foggy environment of the Sichuan Basin, possesses unique value. However, traditional inheritance modes face challenges such as fragmentation, lack of standardization, and insufficient quantification, which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content (AIGC) to achieve precise analysis, intelligent inheritance, and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data (encompassing four diagnostic methods of traditional Chinese medicine, modern medical imaging, clinical laboratory tests, molecular biology, and regional environmental information), a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease, syndrome, and pathogenesis" was constructed. The research yielded the following results: (1) In precise syndrome differentiation, the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods, imaging, and molecule" correlation model, the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment, as well as between regional climatic factors and syndrome characteristics, enabling real-time dynamic monitoring of efficacy. (2) In elucidating patterns, the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians, such as the timing of purgation and tonification. A "pathogenesis, syndrome complex, and prescriptions and herb" network model was constructed, which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. (3) In intelligent empowerment, an auxiliary system integrating intelligent syndrome differentiation, treatment plan generation, and efficacy evaluation was built. This system can fuse regional characteristics with individual data, dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School, and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival, alleviating symptoms, and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer, especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.
3.DIA Proteomic Profiling on Staged Regulatory Effect of Tonifying Deficiency and Dredging Collaterals Method on Liver Fibrosis in Rats Based on Theory of "Zhu Ke Jiao"
Xin WANG ; Pengyu ZHU ; Li WEN ; Jibin LIU ; Aochun YUE ; Ziyi CHEN ; Jing ZHANG ; Li ZHU ; Quansheng FENG ; Cen JIANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):119-132
ObjectiveThis paper aims to investigate the differential mechanisms underlying the staged therapeutic effects of Qijia Rougan formula on liver fibrosis using proteomic technology. MethodsThe staged rat model of liver fibrosis was established by subcutaneous injection of carbon tetrachloride (CCl4) and olive oil. One hundred and four SD rats were randomized into thirteen groups:a normal group,a two-week model group,a four-week model group,a six-week model group,an eight-week model group,a two-week Qijia Rougan formula group,a four-week Qijia Rougan formula group,a six-week Qijia Rougan formula group,an eight-week Qijia Rougan formula group,a two-week compound Biejia Ruangan tablet group,a four-week Compound Biejia Ruangan Tablet group,a six-week Compound Biejia Ruangan Tablet group,and an eight-week compound Biejia Ruangan tablet group. After two weeks of drug intervention,liver tissue and abdominal aortic blood samples were collected from the rats for testing. Hematoxylin-eosin (HE) staining,Masson staining,and Picro Sirius red staining were used to observe pathological damage and collagen fiber deposition in liver tissues. Immunohistochemistry (IHC) was employed to detect the contents of fibrosis markers in liver tissues. The contents of liver function indicators in the serum were measured using a fully automated biochemical analyzer,and the levels of liver fibrosis indicators in the serum were assessed by enzyme-linked immunosorbent assay (ELISA). Liver tissues from the normal group,each model group,and each Qijia Rougan formula group were subjected to label-free quantitative proteomic analysis to identify differential proteins among the groups,with key proteins validated by Western blot. Finally,bioinformatics analysis was performed on the differential proteins. Results(1) The staged rat model of liver fibrosis constructed with CCl4 and olive oil showed pathological results at the 2nd,4th,6th,and 8th weeks of modeling that were consistent with the Metavir standards for the F1,F2,F3,and F4 stages. Compared with those in the normal control group,the protein expressions of α-smooth muscle actin (α-SMA) and Collagen Ⅰ were significantly increased in each stage (P<0.05). The levels of liver function indicators in the serum,including alanine aminotransferase (ALT),aspartate aminotransferase (AST),alkaline phosphatase (ALP),direct bilirubin (DBIL),and total bilirubin (TBil) in each model group,were significantly elevated in each stage (P<0.01). The levels of liver fibrosis indicators in the serum,including procollagen Ⅲ peptide (PⅢP),type Ⅳ collagen(Ⅳ-C),hyaluronic acid (HA),and laminin (LN) in each model group,were significantly increased in each stage (P<0.05,P<0.01). This study successfully established a staged rat model of liver fibrosis. (2) Compared with the model groups at each stage,the administration groups showed a reduction in hepatocyte ballooning degeneration,a more orderly arrangement of hepatocytes,and a decrease of inflammatory cell infiltration. The blue-stained collagen fibers became significantly thinner and finer,with reduced and narrowed fibrous septa. The areas of collagen fibers and Picro Sirius red staining were reduced (P<0.05). The positive areas of α-SMA and Collagen Ⅰ expression were significantly decreased (P<0.05). The levels of ALT,AST,ALP,DBIL,and TBil in the rats of the model groups at each stage were significantly reduced (P<0.05,P<0.01). The levels of PⅢP,Ⅳ-C,HA,and LN in the rats of the model groups at each stage were significantly decreased (P<0.05). Among these,the improvements in all indicators were most significant in the F3 stage (P<0.01).(3) The proteomic results show that a total of 165 differential proteins exhibit a callback trend when comparing the model groups at four stages with the normal group,and when comparing the Qijia Rougan formula group with the model group. Western blot analysis reveals that the levels of NAD(P)H:quinone oxidoreductase 1 (NQO1),mitogen-activated protein kinase 1 (MAPK1),arginase 1 (Arg1),and glutathione S-transferase α1 (GSTA1) were consistent with the proteomic results. Bioinformatics results reveal that 165 differentially expressed proteins are enriched in multiple signaling pathways. Notably,signaling pathways such as drug metabolism-cytochrome P450,arginine biosynthesis,and the peroxisome proliferator-activated receptor (PPAR) signaling pathway were found to be closely associated with liver fibrosis,suggesting that the Qijia Rougan formula may exert its staged regulatory effects on liver fibrosis by regulating these pathways. ConclusionThe Qijia Rougan formula may achieve staged regulation of liver fibrosis by regulating drug metabolism-cytochrome P450,arginine biosynthesis,and the PPAR signaling pathway.
4.Comparative analysis of four risk assessment methods for benzene homologues exposure at key work sites in the automobile manufacturing industry
Lin CHEN ; Danping DUAN ; Zibo CEN ; Peixian CHEN ; Shaofang ZHU ; Hai ZHANG
China Occupational Medicine 2025;52(2):160-165
Objective To explore the applicability of four risk assessment methods in evaluating occupational health risks associated with low-level benzene homologues exposure in key work sites within the automobile manufacturing industry. Methods The work sites (paint mixing and spray painting) with exposure to benzene homologues among six automobile manufacturing enterprises in Guangdong Province were selected as the study subjects using the judgmental sampling method. Qualitative risk assessment, exposure index method, non-carcinogenic risk assessment, and the International Council on Mining and Metals risk rating method were independently applied to evaluate the occupational health risks of benzene homologues at these work sites. Accuracy, consistency, and correlation of the four methods were compared. Results The air levels of benzene, toluene, xylene, and ethylbenzene in work sites of paint mixing and spray painting across all six enterprises met national occupational health standards. The median ratios of occupational exposure limits for benzene and toluene in spray painting site were higher than those in paint mixing site (0.017 vs 0.010, P<0.05). Using this ratio as a reference for evaluating method accuracy, the non-carcinogenic risk assessment method could distinguish paint mixing site from spray painting site in terms of risk level (P<0.05), whereas the other three methods could not (both P>0.05). The result of consistency testing revealed that the Kappa coefficients between the four methods ranged from -0.13-0.26, indicating poor consistency. The result of Spearman correlation analysis showed that the non-carcinogenic risk assessment and exposure index methods had higher correlation with occupational exposure limits ratios (Spearman correlation coefficients were 0.501 and 0.656, respectively, all P<0.05). Conclusion Occupational health risk assessment can serve as a supplementary tool to evaluate the hazard level of key work sites in the automobile manufacturing industry. Non-carcinogenic risk assessment shows higher accuracy.
5.Application of bicuspid pulmonary valve sewn by 0.1 mm expanded polytetrafluoroethylene in right ventricle outflow tract reconstruction
Jianrui MA ; Tong TAN ; Miao TIAN ; Jiazichao TU ; Wen XIE ; Hailong QIU ; Shuai ZHANG ; Jian ZHUANG ; Jimei CHEN ; Jianzheng CEN ; Shusheng WEN ; Haiyun YUAN ; Xiaobing LIU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1127-1132
Objective To introduce a modified technique of right ventricular outflow tract (RVOT) reconstruction using a handmade bicuspid pulmonary valve crafted from expanded polytetrafluoroethylene (ePTFE) and to summarize the early single-center experience. Methods Patients with complex congenital heart diseases (CHD) who underwent RVOT reconstruction with a handmade ePTFE bicuspid pulmonary valve due to pulmonary regurgitation at Guangdong Provincial People’s Hospital from April 2021 to February 2022 were selected. Postoperative artificial valve function and right heart function indicators were evaluated. Results A total of 17 patients were included, comprising 10 males and 7 females, with a mean age of (18.18±12.14) years and a mean body weight of (40.94±19.45) kg. Sixteen patients underwent reconstruction with a handmade valved conduit, with conduit sizes ranging from 18 to 24 mm. No patients required mechanical circulatory support, and no in-hospital deaths occurred. During a mean follow-up period of 12.89 months, only one patient developed valve dysfunction, and no related complications or adverse events were observed. The degree of pulmonary regurgitation was significantly improved post-RVOT reconstruction and during follow-up compared to preoperative levels (P<0.001). Postoperative right atrial diameter, right ventricular diameter, and tricuspid regurgitation area were all significantly reduced compared to preoperative values (P<0.05). Conclusion The use of a 0.1 mm ePTFE handmade bicuspid pulmonary valve for RVOT reconstruction in complex CHD is a feasible, effective, and safe technique.
6.Current status and challenges in the development of geriatric medicine in China
Chao GAO ; Yan CEN ; Pulin YU ; Cuntai ZHANG
Chinese Journal of Geriatrics 2025;44(12):1651-1653
With the deepening of the aging population, China's healthcare resources and social security systems are facing increasingly significant challenges.Concurrently, the field of geriatric medicine is experiencing vigorous development, with the Chinese Medical Association playing a pivotal role in the discipline construction of geriatrics.This article will systematically outline the current development landscape, core achievements, existing challenges, and future directions of geriatric medicine in China.
7.Effects of Plantar Fascia Stiffness on Windlass Mechanism:A Finite Elment Analysis
Qiaolin ZHANG ; Dong SUN ; Yang SONG ; Hairong CHEN ; Xuanzhen CEN ; István BÍRÓ ; Yaodong GU
Journal of Medical Biomechanics 2025;40(1):93-99,112
Objective To explore the relationship between plantar fascia stiffness and windlass mechanism and their impact on the arch,and provide a biomechanical mechanism explanation for plantar fascia and arch-related diseases.Methods A foot-plate model with 30° flexion angle at the metatarsophalangeal joint was constructed.The musculoskeletal model combined with the three-dimensional finite element analysis method was used,and the dynamic data of the foot during walking at the speed of 5 km/h was obtained using dual fluoroscopic imaging system(DFIS).The finite element model was verified,and the influence of plantar fascia stiffness on the capstan mechanism and arch-related mechanical parameters was explored.Results The finite element simulation analysis results were highly consistent with the foot data obtained by DFIS,confirming the validity of the model.With the increase of plantar fascia stiffness,the windlass effect and the stiffness of the longitudinal arch of the foot both showed an increasing trend,but the flexion angle of the metatarsophalangeal joint decreased,the distal stress of the plantar fascia gradually decreased,and the proximal stress increased;when the plantar fascia stiffness was 25%-150%,the width of the transverse arch of the foot increased with the increase of plantar fascia stiffness,while the height of the transverse arch decreased with the increase of plantar fascia stiffness;when the plantar fascia stiffness was 150%-200%,the width of the transverse arch of the foot decreased,the height increased,and the stiffness also increased.Conclusions An increase in plantar fascia stiffness can enhance the windlass mechanism to some extent,but it also leads to a reduction in metatarsophalangeal joint flexion.The stiffness of the plantar fascia affects the metatarsophalangeal joint flexion,thereby impacting the windlass mechanism and the distal tensile force of the plantar fascia.Together with the ground reaction force at the distal end of the metatarsals,these factors collectively influence the stiffness of the transverse arch of the foot.
8.Trajectories of executive function development and its neural mechanisms in patients with attention deficit hyperactivity disorder
Ruilin JIN ; Jiaqi ZHOU ; Teng ZHU ; Jiayun YU ; Wanying ZHENG ; Hanlin LI ; Mengjie ZHANG ; Xiaolei CEN ; Chuang YANG
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(3):277-282
Executive function(EF) is an advanced cognitive function of the central nervous system, and is closely related to an individual's capacity for daily living and adaptation. Patients with attention deficit hyperactivity disorder (ADHD) typically exhibit significant executive dysfunction. While most existing studies on the executive function of individuals with ADHD are cross-sectional, and little is known about the longitudinal maturation process of related brain structures and functional connectivity patterns. The findings indicate that ADHD patients exhibit differential developmental trajectories in brain structural and functional connectivity compared with typically developing group.Furthermore, there is a lifespan association between abnormal brain network development and ADHD symptoms. This article aims to elucidate the characteristics of executive function deficits in ADHD patients across different developmental stages, examining their relationship with the nervous system’s development from a development perspective.
9.Current status and challenges in the development of geriatric medicine in China
Chao GAO ; Yan CEN ; Pulin YU ; Cuntai ZHANG
Chinese Journal of Geriatrics 2025;44(12):1651-1653
With the deepening of the aging population, China's healthcare resources and social security systems are facing increasingly significant challenges.Concurrently, the field of geriatric medicine is experiencing vigorous development, with the Chinese Medical Association playing a pivotal role in the discipline construction of geriatrics.This article will systematically outline the current development landscape, core achievements, existing challenges, and future directions of geriatric medicine in China.
10.Severity Assessment Parameters and Diagnostic Technologies of Obstructive Sleep Apnea
Zhuo-Zhi FU ; Ya-Cen WU ; Mei-Xi LI ; Ping-Ping YIN ; Hai-Jun LIN ; Fu ZHANG ; Yu-Xiang YANG
Progress in Biochemistry and Biophysics 2025;52(1):147-161
Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO2), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO2 plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

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