1.The effect of rutaecarpine on improving fatty liver and osteoporosis in MAFLD mice
Yu-hao ZHANG ; Yi-ning LI ; Xin-hai JIANG ; Wei-zhi WANG ; Shun-wang LI ; Ren SHENG ; Li-juan LEI ; Yu-yan ZHANG ; Jing-rui WANG ; Xin-wei WEI ; Yan-ni XU ; Yan LIN ; Lin TANG ; Shu-yi SI
Acta Pharmaceutica Sinica 2025;60(1):141-149
Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg-1) and a high dose (15 mg·kg-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D303)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.
2.Common detoxification mechanisms in processing of toxic medicinal herbs of the same genus: a case study of Euphorbia pekinensis, E. ebracteolata, and E. fischeriana.
En-Ci JIANG ; Hong-Li YU ; Shu-Rui ZHANG ; Bing-Bing LIU ; Xin-Zhi WANG ; Hao WU
China Journal of Chinese Materia Medica 2025;50(13):3615-3675
Traditional Chinese medicine(TCM) processing is a specialized pharmaceutical technique with the primary objective of reducing the toxicity of medicinal substances. Euphorbia pekinensis, E. ebracteolata, and E. fischeriana, all belonging to Euphorbiaceae, are classified as drastic purgative herbs, traditionally used for eliminating retained water, reducing swelling, resolving toxicity, and dispersing masses. However, these herbs are also associated with adverse effects such as abdominal pain and diarrhea. Accordingly, they are commonly processed with vinegar, milk, or Terminalia chebula decoction to reduce the toxicity. This review summarizes the chemical constituents, pharmacological activities, historical evolution of processing methods, and detoxification mechanisms of the three toxic Euphorbia species. The primary toxic constituents are terpenoids. Specifically, E. ebracteolata and E. fischeriana are rich in diterpenoids, while E. pekinensis contains diterpenoids, triterpenoids, and sesquiterpenoids. Studies have shown that vinegar processing promotes structural transformations of diterpenoids, including ether bond hydrolysis, lactone ring opening, esterification, oxidation, and epoxide ring cleavage, thereby reducing the content and toxicity of these compounds. Milk processing facilitates the dissolution of toxic components into the residual liquid of excipients, leading to decreases in their concentrations in the final decoction pieces. Processing with T. chebula decoction raises the levels of tannin-derived phenolic acids, which antagonize the adverse effects of the intestine. These findings reveal a shared detoxification pattern among the three toxic herbs. Accordingly, this review proposes the concept of a shared detoxification mechanism for toxic herbs belonging to the same family or genus. That is, toxic herbs belonging to the same taxon often exhibit similar toxicological profiles and can undergo detoxification through the same processing methods, reflecting common underlying mechanisms. Investigating such shared mechanisms across multiple species of the same genus offers a promising research strategy. Ultimately, the research into processing-induced detoxification mechanisms provides both theoretical and practical support for ensuring the safety of toxic TCM.
Euphorbia/classification*
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Drugs, Chinese Herbal/metabolism*
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Humans
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Animals
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Inactivation, Metabolic
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Medicine, Chinese Traditional
3.Mechanism of Tougu Xiaotong Capsules regulating Malat1 and mi R-16-5p ceRNA to alleviate "cholesterol-iron" metabolism disorder in osteoarthritis chondrocytes.
Chang-Long FU ; Yan-Ming LIN ; Shu-Jie LAN ; Chao LI ; Zi-Hong ZHANG ; Yue CHEN ; Ying-Rui TONG ; Yan-Feng HUANG
China Journal of Chinese Materia Medica 2025;50(15):4363-4371
From the perspective of competitive endogenous RNA(ceRNA) constructed by metastasy-associated lung adenocarcinoma transcript 1(Malat1) and microRNA 16-5p(miR-16-5p), the improvement mechanism of Tonggu Xiaotong Capsules(TGXTC) on the imbalance and disorder of "cholesterol-iron" metabolism in chondrocytes of osteoarthritis(OA) was explored. In vivo experiments, 60 8-week-old C57BL/6 mice were acclimatized and fed for 1 week and then randomly divided into two groups: blank group(12 mice) and modeling group(48 mice). The animals in modeling group were anesthetized by 5% isoflurane inhalation, which was followed by the construction of OA model. They were then randomly divided into model group, TGXTC group, Malat1 overexpression group, and TGXTC+Malat1 overexpression(TGXTC+Malat1-OE) group, with 12 mice in each group. The structural changes of mouse cartilage tissues were observed by Masson staining after the intervention in each group. RT-PCR was employed to detect the mRNA levels of Malat1 and miR-16-5p in cartilage tissues. Western blot was used to analyze the protein expression of ATP-binding cassette transporter A1(ABCA1), sterol regulatory element-binding protein(SREBP), cytochrome P450 family 7 subfamily B member 1(CYP7B1), CCAAT/enhancer-binding protein homologous protein(CHOP), acyl-CoA synthetase long-chain family member 4(ACSL4), and glutathione peroxidase 4(GPX4) in cartilage tissues. In vitro experiments, mouse chondrocytes were induced by thapsigargin(TG), and the combination of Malat1 and miR-16-5p was detected by double luciferase assay. The fluorescence intensity of Malat1 in chondrocytes was determined by fluorescence in situ hybridization. The miR-16-5p inhibitory chondrocyte model was constructed. RT-PCR was used to analyze the levels of Malat1 and miR-16-5p in chondrocytes under the inhibition of miR-16-5p. Western blot was adopted to analyze the regulation of TG-induced chondrocyte proteins ABCA1, SREBP, CYP7B1, CHOP, ACSL4, and GPX4 by TGXTC under the inhibition of miR-16-5p. The results of in vivo experiments showed that,(1) compared with model group, TGXTC group exhibited a relatively complete cartilage layer structure. Compared with Malat1-OE group, TGXTC+Malat1-OE group showed alleviated cartilage surface damage.(2) Compared with model group, TGXTC group had a significantly decreased Malat1 mRNA level and an increased miR-16-5p mRNA level in mouse cartilage tissues(P<0.01).(3) Compared with the model group, the protein levels of ABCA1 and GPX4 in the cartilage tissue of mice in the TGXTC group increased, while the protein levels of SREBP, CYP7B1, CHOP and ACSL4 decreased(P<0.01). The results of in vitro experiments show that,(1) dual-luciferase was used to evaluate that miR-16-5p has a targeting effect on the Malat1 gene.(2)Compared with TG+miR-16-5p inhibition group, TG+miR-16-5p inhibition+TGXTC group had an increased mRNA level of miR-16-5p and an decreased mRNA level of Malat1(P<0.01).(3) Compared with TG+miR-16-5p inhibition group, TG+miR-16-5p inhibition+TGXTC group exhibited increased expression of ABCA1 and GPX4 proteins and decreased expression of SREBP, CYP7B1, CHOP, and ACSL4 proteins(P<0.01). The reasults showed that TGXTC can regulate the ceRNA of Malat1 and miR-16-5p to alleviate the "cholesterol-iron" metabolism disorder of osteoarthritis chondrocytes.
Animals
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MicroRNAs/metabolism*
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RNA, Long Noncoding/metabolism*
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Chondrocytes/drug effects*
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Drugs, Chinese Herbal/pharmacology*
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Mice, Inbred C57BL
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Mice
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Osteoarthritis/drug therapy*
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Iron/metabolism*
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Male
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Cholesterol/metabolism*
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Humans
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Capsules
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RNA, Competitive Endogenous
4.Application of OpenSim musculoskeletal model in biomechanics research of orthopedics and traumatology.
Rui LI ; Yang LIU ; Zhao-Jie ZHANG ; Xin-Wei ZHANG ; Yan-Zhen ZHANG ; Yan-Qi HU ; Can YANG ; Shu-Shi MAO ; Jia-Ming QIU
China Journal of Orthopaedics and Traumatology 2025;38(3):319-324
OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate and analyze the complex motion of the human body, and is widely used in human biomechanical research. Since OpenSim can analyze multi-dimensional motion data such as muscle strength, joint torque, and muscle synergistic activation during human movement, it can be used to study the biomechanical mechanism of musculoskeletal imbalance diseases and various treatment methods in TCM orthopedics, and has a broad application prospect in the field of TCM orthopedics. By the analysis of the basic characteristics, elements, analysis process, and application prospects of OpenSim, it is concluded that OpenSim musculoskeletal model has a large application space in the field of traditional Chinese medicine orthopedic, which is helpful to explain the pathogenesis and mechanism of diseases, and promote the precision diagnosis and treatment of orthopedics diseases;the application of OpenSim musculoskeletal model can solve the problem that the previous research paid attention to the bone malalignment and not enough attention to the tendon, and provide a new method for the research of orthopedic diseases. At present, there are still problems in the promotion and application of OpenSim, such as large equipment requirements and high operation threshold. Therefore, multidisciplinary cooperation, clinical research, and data sharing are the basic research strategies in this field.
Humans
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Biomechanical Phenomena
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Orthopedics
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Traumatology
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Software
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Medicine, Chinese Traditional
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Musculoskeletal System
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Models, Biological
5.A convenient research strategy for functional verification of epigenetic regulators during spermatogenesis.
Shan LI ; Ying YUAN ; Ke-Yu ZHANG ; Yi-Dan GUO ; Lu-Tong WANG ; Xiao-Yuan ZHANG ; Shu ZHANG ; Qi YAN ; Rong ZHANG ; Jie CHEN ; Feng-Tang YANG ; Jing-Rui LI
Asian Journal of Andrology 2025;27(2):261-267
Spermatogenesis is a fundamental process that requires a tightly controlled epigenetic event in spermatogonial stem cells (SSCs). The mechanisms underlying the transition from SSCs to sperm are largely unknown. Most studies utilize gene knockout mice to explain the mechanisms. However, the production of genetically engineered mice is costly and time-consuming. In this study, we presented a convenient research strategy using an RNA interference (RNAi) and testicular transplantation approach. Histone H3 lysine 9 (H3K9) methylation was dynamically regulated during spermatogenesis. As Jumonji domain-containing protein 1A (JMJD1A) and Jumonji domain-containing protein 2C (JMJD2C) demethylases catalyze histone H3 lysine 9 dimethylation (H3K9me2), we firstly analyzed the expression profile of the two demethylases and then investigated their function. Using the convenient research strategy, we showed that normal spermatogenesis is disrupted due to the downregulated expression of both demethylases. These results suggest that this strategy might be a simple and alternative approach for analyzing spermatogenesis relative to the gene knockout mice strategy.
Spermatogenesis/physiology*
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Animals
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Male
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Mice
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Epigenesis, Genetic
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Jumonji Domain-Containing Histone Demethylases/metabolism*
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Histones/metabolism*
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RNA Interference
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Testis/metabolism*
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Methylation
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Mice, Knockout
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Histone Demethylases
6.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
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Decision Support Systems, Clinical
7.Schisandrin A ameliorates DSS-induced acute ulcerative colitis in mice via regulating the FXR signaling pathway
Jia-rui JIANG ; Kua DONG ; Yu-chun JIN ; Xin-ru YANG ; Yi-xuan LUO ; Shu-yang XU ; Xun-jiang WANG ; Li-hua GU ; Yan-hong SHI ; Li YANG ; Zheng-tao WANG ; Xu WANG ; Li-li DING
Acta Pharmaceutica Sinica 2024;59(5):1261-1270
Inflammatory bowel disease (IBD) is characterized by chronic relapsing intestinal inflammation and encompasses ulcerative colitis (UC) and Crohn's disease (CD). IBD has emerged as a global healthcare problem. Clinically efficacious therapeutic agents are deficient. This study concentrates on models of ulcerative colitis with the objective of discovering novel therapeutic strategies. Previous investigations have established that schisandrin A demonstrates anti-inflammatory effects
8.Optimization of the Forming Process of Mingmu Yijing Pills Based on AHP-CRITIC Mixed Weighting Method
Chunhong YANG ; Shu LI ; Qi ZHAO ; Qian SHI ; Yanxiong GAN ; Xianrong LAI ; Rui LI
Chinese Journal of Modern Applied Pharmacy 2024;41(5):672-677
OBJECTIVE
To clarify the weight index and optimize the technology of compound Mingmu Yijing pills.
METHODS
Water content, dissolution time limit and bolus-forming pass rate were included as evaluation indexes. The analytic hierarchy process(AHP) and the criterion importance through inter-criteria correlation(CRITIC) method based on the objectivity of indicators were adopted, AHP-CRITIC mixed weighting method. In this way, the relative coefficients of each index were calculated for weight distribution and comprehensive score, and the molding process was optimized and verified by Box-Behnken response surface test.
RESULTS
Compared with the single weighting method, the AHP-CRITIC mixed weighting method was more reasonable and stable. This method finally optimized the forming process conditions of Mingmu Yijing pills as follows: adding water amount of 0.8 times, the damp mass infiltration for 0.5 h, drying temperature of 60 ℃, drying time of 8 h. The mean comprehensive score of validation experiment was 88.21, RSD was 0.29%.
CONCLUSION
AHP-CRITIC method scientifically determines the weight of multiple indicators, and the verification test confirms that the optimized molding process is stable and feasible, which can be used in practical large-scale production.
9.Allergy Associated With N-glycans on Glycoprotein Allergens
Yu-Xin ZHANG ; Rui-Jie LIU ; Shao-Xing ZHANG ; Shu-Ying YUAN ; Yan-Wen CHEN ; Yi-Lin YE ; Qian-Ge LIN ; Xin-Rong LU ; Yong-Liang TONG ; Li CHEN ; Gui-Qin SUN
Progress in Biochemistry and Biophysics 2024;51(5):1023-1033
Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.
10.Predictive value of infiltrating zone contrast-enhanced ultrasound gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma
Rui DU ; Weiwei SHU ; Xincai WU ; Xin ZHANG ; Yuefeng LI
Chinese Journal of Ultrasonography 2024;33(2):119-125
Objective:To investigate the predictive value of infiltrating zone contrast-enhanced ultrasound(CEUS) gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma(IDC).Methods:A retrospective analysis was performed on 78 female breast cancer patients (95 masses) confirmed by surgical and pathology in the Affiliated Hospital of Jiangsu University from July 2019 to June 2022, which were divided into Grade-Ⅰ (22 masses), Grade-Ⅱ (28 masses), and Grade-Ⅲ (45 masses) according to the Nottingham histological grading system. The differences in the maximum diameter of the infiltration zone and the characteristic parameters of the gradient of the inner and outer edges of the infiltration zone among the three groups of masses were compared, and the differential gradient features among them were analyzed by multivariate ordered Logistic regression and ROC curves. The relationship between the differential gradient characteristics of the infiltration zone and the pathologically true infiltration of the mass was further explored.Results:The univariate analysis showed statistically significant differences among the three groups for peak-arrival time gradient (ΔTTP), ascending branch slope gradient (ΔRS), peak intensity gradient (ΔPI) and area gradient under the curve (ΔAUC) (all P<0.05). Multiple ordered logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC had independent influences on the histologic grading of IDC (all P<0.05), and the area under the curve for the combination of the three in predicting IDC histology grades Ⅰ, Ⅱ and Ⅲ was 0.692, 0.705 and 0.765, respectively. In addition, the maximum diameter of pathologically true infiltration of the mass was positively correlated with ΔTTP ( r=0.621, P<0.05) and negatively correlated with ΔPI ( r=-0.605, P<0.05) and ΔAUC ( r=-0.719, P<0.05). Conclusions:Infiltration zone CEUS gradient features are effective in predicting the histologic grade of IDC and strongly correlate with the degree of pathologically true infiltration of the mass.


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