1.Regulation of Tumor Immune Homeostasis by Programmed Cell Death and Intervention Effect of Traditional Chinese Medicine Under Theory of Regulating Qi and Resolving Toxins
Bingwei YANG ; Xue CHEN ; Chenglei WANG ; Haoyu ZHAI ; Weidong LI ; Baojin HUA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):212-220
Tumor immune homeostasis is a dynamic equilibrium state in which the body removes abnormal mutated cells in time to prevent tumor development without damaging other normal cells under the surveillance of the immune system. It is an important concept to understand the process of tumor development. Programmed cell death (PCD) is a kind of regulable cell death including various forms such as apoptosis, autophagy, pyroptosis, necrosis, and ferroptosis. It is regarded as an important way for the body to remove abnormal or mutated cells. In recent years, modern research has found that PCD has a bi-directional regulatory effect on carcinogenesis and tumor development. In the early stage of tumor formation, PCD can control tumor development in time by playing a specific immune clearance role, while in the later tumorigenic stage, PCD can promote the growth and development of tumor cells by forming a tumor-specific microenvironment, resulting in carcinogenic effects. Therefore, PCD is regarded as an important way to maintain tumor immune homeostasis. Based on the idea of ''supporting the vital Qi and cultivating the root'' by professors Yu Guiqing and Piao Bingkui, the team proposed the theory of ''regulating Qi and resolving toxins'' and applied it to clinical tumor prevention and treatment. Based on the theory of ''regulating Qi and resolving toxins'', the research summarized the current progress of modern medical research on mechanisms related to PCD to explore the role of PCD in the regulation of tumor immune homeostasis. The article believed that the harmonious state of Qi movement was the basic condition for normal PCD to maintain tumor immune homeostasis, while the disorder of Qi movement and the evolution of tumor toxicity were the core processes of abnormal PCD and disorder of tumor immunity homeostasis, which led to the escape and development of tumor cells. Therefore, under the guidance of ''regulating Qi and removing toxins'', the idea of full-cycle prevention and treatment of tumors was proposed summarily. In the early stage of tumor formation, the method of ''regulating Qi movement and strengthening vital Qi'' was applied to reestablish tumor immune homeostasis and to promote the elimination of abnormal cells. In the late tumorigenic stage, the method of ''resolving toxins and dispelling evils'' was applied to reverse the specific microenvironment of tumors and inhibit the development of tumor cells, with a view to providing new theoretical support for the prevention and treatment of tumors through traditional Chinese medicine.
2.Regulation of Tumor Immune Homeostasis by Programmed Cell Death and Intervention Effect of Traditional Chinese Medicine Under Theory of Regulating Qi and Resolving Toxins
Bingwei YANG ; Xue CHEN ; Chenglei WANG ; Haoyu ZHAI ; Weidong LI ; Baojin HUA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):212-220
Tumor immune homeostasis is a dynamic equilibrium state in which the body removes abnormal mutated cells in time to prevent tumor development without damaging other normal cells under the surveillance of the immune system. It is an important concept to understand the process of tumor development. Programmed cell death (PCD) is a kind of regulable cell death including various forms such as apoptosis, autophagy, pyroptosis, necrosis, and ferroptosis. It is regarded as an important way for the body to remove abnormal or mutated cells. In recent years, modern research has found that PCD has a bi-directional regulatory effect on carcinogenesis and tumor development. In the early stage of tumor formation, PCD can control tumor development in time by playing a specific immune clearance role, while in the later tumorigenic stage, PCD can promote the growth and development of tumor cells by forming a tumor-specific microenvironment, resulting in carcinogenic effects. Therefore, PCD is regarded as an important way to maintain tumor immune homeostasis. Based on the idea of ''supporting the vital Qi and cultivating the root'' by professors Yu Guiqing and Piao Bingkui, the team proposed the theory of ''regulating Qi and resolving toxins'' and applied it to clinical tumor prevention and treatment. Based on the theory of ''regulating Qi and resolving toxins'', the research summarized the current progress of modern medical research on mechanisms related to PCD to explore the role of PCD in the regulation of tumor immune homeostasis. The article believed that the harmonious state of Qi movement was the basic condition for normal PCD to maintain tumor immune homeostasis, while the disorder of Qi movement and the evolution of tumor toxicity were the core processes of abnormal PCD and disorder of tumor immunity homeostasis, which led to the escape and development of tumor cells. Therefore, under the guidance of ''regulating Qi and removing toxins'', the idea of full-cycle prevention and treatment of tumors was proposed summarily. In the early stage of tumor formation, the method of ''regulating Qi movement and strengthening vital Qi'' was applied to reestablish tumor immune homeostasis and to promote the elimination of abnormal cells. In the late tumorigenic stage, the method of ''resolving toxins and dispelling evils'' was applied to reverse the specific microenvironment of tumors and inhibit the development of tumor cells, with a view to providing new theoretical support for the prevention and treatment of tumors through traditional Chinese medicine.
3.Effects of Exercise Training on The Behaviors and HPA Axis in Autism Spectrum Disorder Rats Through The Gut Microbiota
Xue-Mei CHEN ; Yin-Hua LI ; Jiu-Gen ZHONG ; Zhao-Ming YANG ; Xiao-Hui HOU
Progress in Biochemistry and Biophysics 2025;52(6):1511-1528
ObjectiveThe study explores the influence of voluntary wheel running on the behavioral abnormalities and the activation state of the hypothalamic-pituitary-adrenal (HPA) axis in autism spectrum disorder (ASD) rats through gut microbiota. MethodsSD female rats were selected and administered either400 mg/kg of valproic acid (VPA) solution or an equivalent volume of saline via intraperitoneal injection on day 12.5 of pregnancy. The resulting offspring were divided into 2 groups: the ASD model group (PASD, n=35) and the normal control group (PCON, n=16). Behavioral assessments, including the three-chamber social test, open field test, and Morris water maze, were conducted on postnatal day 23. After behavioral testing, 8 rats from each group (PCON, PASD) were randomly selected for serum analysis using enzyme-linked immunosorbent assay (ELISA) to measure corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) concentration, to evaluate the functional state of the HPA axis in rats. On postnatal day 28, the remaining 8 rats in the PCON group were designated as the control group (CON, n=8), and the remaining 27 rats in the PASD group were randomly divided into 4 groups: ASD non-intervention group (ASD, n=6), ASD exercise group (ASDE, n=8), ASD fecal microbiota transplantation group (FMT, n=8), and ASD sham fecal microbiota transplantation group (sFMT, n=5). The rats in the ASD group and the CON group were kept under standard conditions, while the rats in the ASDE group performed 6 weeks of voluntary wheel running intervention starting on postnatal day 28. The rats in the FMT group were gavaged daily from postnatal day 42 with 1 ml/100 g fresh fecal suspension from ASDE rats which had undergone exercise for 2 weeks, 5 d per week, continuing for 4 weeks. The sFMT group received an equivalent volume of saline. After the interventions were completed, behavioral assessments and HPA axis markers were measured for all groups. ResultsBefore the intervention, the ASD model group exhibited significantly reduced social ability, social novelty preference, spontaneous activity, and exploratory interest, as well as impaired spatial learning, memory, and navigation abilities compared to the normal control group (P<0.05). Serum concentration of corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) in the PASD group were significantly higher than those in the PCON group (P<0.05). Following 6 weeks of voluntary wheel running, the ASDE group showed significant improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, spatial learning, memory, and navigation skills compared to the ASD group (P<0.05), with a significant decrease in serum CORT concentration (P<0.05), and a downward trend in CRH and ACTH concentration. After 4 weeks of fecal microbiota transplantation in the exercise group, the FMT group showed marked improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, as well as spatial learning, memory, and navigation abilities compared to both the ASD and sFMT groups (P<0.05). In addition, serum ACTH and CORT concentration were significantly reduced (P<0.05), and CRH concentration also showed a decreasing trend. ConclusionExercise may improve ASD-related behaviors by suppressing the activation of the HPA axis, with the gut microbiota likely playing a crucial role in this process.
4.Predicting Hepatocellular Carcinoma Using Brightness Change Curves Derived From Contrast-enhanced Ultrasound Images
Ying-Ying CHEN ; Shang-Lin JIANG ; Liang-Hui HUANG ; Ya-Guang ZENG ; Xue-Hua WANG ; Wei ZHENG
Progress in Biochemistry and Biophysics 2025;52(8):2163-2172
ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.
5. Analysis of cerebral gray matter structure in multiple sclerosis and neuromyelitis optica
Xiao-Li LIU ; Ai-Xue WU ; Ru-Hua LI ; An-Ting WU ; Cheng-Chun CHEN ; Lin XU ; Cai-Yun WEN ; Dai-Qian CHEN
Acta Anatomica Sinica 2024;55(1):17-24
Objective The volume and cortical thickness of gray matter in patients with multiple sclerosis (MS) and neuromyelitis optica (NMO) were compared and analyzed by voxel⁃based morphometry (VBM) and surface⁃based morphometry (SBM), and the differences in the structural changes of gray matter in the two diseases were discussed. Methods A total of 21 MS patients, 16 NMO patients and 19 healthy controls were scanned by routine MRI sequence. The data were processed and analyzed by VBM and SBM method based on the statistical parameter tool SPM12 of Matlab2014a platform and the small tool CAT12 under SPM12. Results Compared with the normal control group (NC), after Gaussian random field (GRF) correction, the gray matter volume in MS group was significantly reduced in left superior occipital, left cuneus, left calcarine, left precuneus, left postcentral, left central paracentral lobule, right cuneus, left middle frontal, left superior frontal and left superior medial frontal (P<0. 05). After family wise error (FWE) correction, the thickness of left paracentral, left superiorfrontal and left precuneus cortex in MS group was significantly reduced (P<0. 05). Compared with the NC group, after GRF correction, the gray matter volume in the left postcentral, left precentral, left inferior parietal, right precentral and right middle frontal in NMO group was significantly increased (P<0. 05). In NMO group, the volume of gray matter in left middle occipital, left superior occipital, left inferior temporal, right middle occipital, left superior frontal orbital, right middle cingulum, left anterior cingulum, right angular and left precuneus were significantly decreased (P<0. 05). Brain regions showed no significant differences in cortical thickness between NMO groups after FWE correction. Compared with the NMO group, after GRF correction, the gray matter volume in the right fusiform and right middle frontal in MS group was increased significantly(P<0. 05). In MS group, the gray matter volume of left thalamus, left pallidum, left precentral, left middle frontal, left middle temporal, right pallidum, left inferior parietal and right superior parietal were significantly decreased (P<0. 05). After FWE correction, the thickness of left inferiorparietal, left superiorparietal, left supramarginal, left paracentral, left superiorfrontal and left precuneus cortex in MS group decreased significantly (P<0. 05). Conclusion The atrophy of brain gray matter structure in MS patients mainly involves the left parietal region, while NMO patients are not sensitive to the change of brain gray matter structure. The significant difference in brain gray matter volume between MS patients and NMO patients is mainly located in the deep cerebral nucleus mass.
6.The construction of integrated urban medical groups in China:Typical models,key issues and path optimization
Hua-Wei TAN ; Xin-Yi PENG ; Hui YAO ; Xue-Yu ZHANG ; Le-Ming ZHOU ; Ying-Chun CHEN
Chinese Journal of Health Policy 2024;17(1):9-16
This paper outlines the common aspects of constructing integrated urban medical groups,focusing on governance,organizational restructuring,operational modes,and mechanism synergy.It then delves into the challenges in China's group construction,highlighting issues with power-responsibility alignment,capacity evolution,incentive alignment,and performance evaluation.Finally,the paper suggests strategies to enhance China's compact urban medical groups,focusing on governance reform,capacity building,benefit integration,and performance evaluation.
7.Establishment and exploration of evaluation system for science and technology achievements in university-affiliated hospitals
Jing XUE ; Zhuojing ZHANG ; Xinyu CHEN ; Peiwu HU ; Tingyin CHEN ; Lunquan SUN ; Hua GUO
Chinese Journal of Medical Science Research Management 2024;37(1):22-26
Objective:To construct a scientific and technological evaluation system based on the needs of the pilot program for building a national high-quality hospital and establishing a national medical center.Methods:Xiangya Hospital of Central South University gradually improved its academic evaluation system by following the guidelines outlined in national authorities′ documents regarding "abolishing the five only" and "setting new standards", adhering to the guiding principles of "quality, contribution, efficiency, and impact" and employing the principles of "high-standard evaluation, quantitative evaluation, representative work evaluation, and third-party evaluation" .Results:The hospital established a comprehensive, scientific, and quantifiable indicator pool. These indicators were applied to various aspects of medical innovation evaluation, including awarding incentives, discipline assessment, professional promotion, personnel assessment, mentor selection for graduates, and excellence evaluation. Simultaneously, the hospital developed an intelligent platform for medical innovation evaluation and assessment in university-affiliated hospitals based on performance management theory.Conclusions:Through the construction and practice of the Xiangya technology evaluation system, the hospital further improved and optimized its academic evaluation work, guiding researchers to high-quality innovation and efficient translational research, ultimately promoting the high-quality development of the hospital.
8.Exploring the “Inflammation-Cancer” Transformation of Ulcerative Colitis and Its Prevention and Treatment Based on the Method of Regulating Qi and Resolving Toxins
Bingwei YANG ; Xue CHEN ; Chenglei WANG ; Weidong LI ; Baojin HUA
Journal of Traditional Chinese Medicine 2024;65(5):469-473
Based on the method of regulating qi and resolving toxins, this paper discussed the core pathogenesis of “inflammation-cancer” transformation of ulcerative colitis. It is believed that the disorder of qi movement, endogenous pathogenic factors of “heat, stasis and dampness” are cemented in the large intestine, and the pathogenic factors are too excessive to be solved, which will become toxic after a long time and lead to cancerous changes. Clinical prevention and treatment applies the method of regulating qi and resolving toxins, and the method of regulating qi was proposed as clearing internal qi, regulating blood qi and strengthening spleen qi, so as to clear heat, dissipate blood stasis and dissolve dampness; different methods of regulating qi and resolving toxins were flexibly combined according to the pathogenic characteristics of different stages of toxicity, in order to interrupt the process of “inflammation-cancer” transformation of ulcerative colitis.
9.HPLC-RID method for the determination of glucosamine hydrochloride in amitriptyline enteric-coated tablets
YUAN Jinye ; CHEN Qi ; XUE Qiaoru ; CHEN Hua
Drug Standards of China 2024;25(1):062-067
Objective: To establish a method for the determination of glucosamine hydrochloride content in aminoglycine enteric coated tablets by high-performance liquid chromatography with differential refractive detector.
Methods: Waters XBridge Amide (4.6 mm×250 mm, 3.5 μm) column was used. The mobile phase was 80% acetonitrile solution (1 000 mL containing 1 mL ammonia) at the flow rate of 1.2 mL·min-1. Column temperature was set on 40 ℃; Injecting volume was 20 μL with differential refraction detector (RID) detection.
Results: The detection limit of glucosamine hydrochloride was 0.03 mg·mL-1, and the limit of quantification was 0.125 mg·mL-1. It showed a good linear relationship in the mass concentration range of 0.72-7.56 mg·mL-1. The average recovery was 99.4% (RSD=0.85%,n=9). The content of glucosamine hydrochloride in 7 batches of aminosamine enteric-coated tablets was measured in the range of 93%-107%.
Conclusion: The proposed method is fast, accurate, specific and durable, and can be used for the determination of glucosamine hydrochloride, which provides a reference for effectively controlling the quality of aminoxymetacin enteric-coated tablets.
10.Preparation of soluble microneedle patch with fusion protein nanoparticles secreted by Mycobacterium tuberculosis and application of tuberculosis skin test
Fan CHEN ; Rong-sheng ZHU ; Jing ZHOU ; Yue HU ; Yun XUE ; Jian-hua KANG ; Wei WANG
Acta Pharmaceutica Sinica 2024;59(6):1804-1811
Rapid epidemiological screening for tuberculosis (TB) usually uses tuberculin pure protein derivative (PPD) skin test, which has limitations such as low specificity and high side effects. ESAT-6 and CFP-10 are secreted proteins of

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