1.Erjingwan Alleviate Inflammatory Response and Apoptosis in Skeletal Muscle Cells of Sarcopenia via SIRT1/Nrf2/HO-1 Signaling Pathway
Long SHI ; Yang LI ; Hongyu YAN ; Tianle ZHOU ; Zhiwen ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):57-66
ObjectiveTo investigate the effects of the classical Chinese medicine compound prescription Erjingwan on the inflammatory response and apoptosis of skeletal muscle cells in a mouse model of sarcopenia and decipher the mechanism based on the silent information regulator 1 (SIRT1)/nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) signaling pathway. MethodsForty C57/BL6 male mice were randomized into a control group, a model group, and groups with different doses of Erjingwan (8,16,32 g·kg-1). The mouse model of sarcopenia was established by D-gal-induced skeletal muscle senescence. The body weight and grip strength of mice treated with different doses of Erjingwan were examined to evaluate their physiological functions. Hematoxylin-eosin (HE) staining and Masson staining were used to observe the pathological changes and fibrosis in the skeletal muscle of mice. Enzyme-linked immunosorbent assay (ELISA) was adopted to determine the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the serum samples of mice, and biochemical tests were conducted to quantify the levels of superoxide dismutase (SOD), malondialdehyde (MDA), and glutathione (GSH) in the serum. The protein and mRNA levels of SIRT1, Nrf2, B-cell lymphoma (Bcl-2), and Bcl-2-associated X protein (Bax) were determined by Western blot and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. ResultsAfter 4 weeks of drug intervention, the model group exhibited significant reductions in body weight and grip strength (P0.01) compared with the control group. Compared with the model group, all doses of Erjingwan increased the body weight in mice at week 8 (P0.01) and grip strength from week 6 (P0.01). HE staining revealed clear muscle fiber structure in the control group, muscle fiber rupture and atrophy in the model group, and dose-dependent repair of muscle fiber structure in the Erjingwan groups. Masson staining showed minimal collagen fibers and mild fibrosis in the control group, collagen fiber proliferation and severe fibrosis in the model group, and collagen proliferation with dose-dependent inhibition of fibrosis in the Erjingwan groups. ELISA results showed that serum levels of TNF-α and IL-6 were elevated in the model group compared with those in the control group (P0.01). After intervention, the low-dose Erjingwan group exhibited a decreased TNF-α level (P0.05), while the medium and high-dose groups showed decreases in both TNF-α and IL-6 levels (P0.01). Biochemical assays revealed that the model group had decreased SOD and GSH levels (P0.01) and an increased MDA level (P0.01) compared with the control group. The medium and high-dose Erjingwan groups exhibited increases in SOD and GSH levels (P0.01) and decreases in MDA level (P0.01), compared with the model group. WB and Real-time PCR results showed that compared with the control group, the model group presented down-regulated protein and mRNA levels of SIRT1, Nrf2, HO-1, and Bcl-2 in the muscle tissue (P0.01) and up-regulated protein and mRNA levels of Bax (P0.01). Compared with the model group, Erjingwan at different doses up-regulated the protein levels of SIRT1, Nrf2, HO-1, and Bcl-2 (P0.01) and down-regulated the protein and mRNA levels of Bax (P0.01) in the muscle tissue. Low-dose Erjingwan elevated the mRNA levels of Nrf2 and HO-1 (P0.05, P0.01), and medium and high-dose Erjingwan up-regulated the mRNA levels of SIRT1, Nrf2, HO-1, and Bcl-2 (P0.01). ConclusionErjingwan reduced the content of inflammatory factors in skeletal muscle cells, improved the antioxidant capacity, and attenuated pathological changes and fibrosis in the muscle of the mouse model of sarcopenia by regulating the SIRT1/Nrf2/HO-1 pathway, inflammatory response, and apoptosis network.
2.Erjingwan Alleviate Inflammatory Response and Apoptosis in Skeletal Muscle Cells of Sarcopenia via SIRT1/Nrf2/HO-1 Signaling Pathway
Long SHI ; Yang LI ; Hongyu YAN ; Tianle ZHOU ; Zhiwen ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):57-66
ObjectiveTo investigate the effects of the classical Chinese medicine compound prescription Erjingwan on the inflammatory response and apoptosis of skeletal muscle cells in a mouse model of sarcopenia and decipher the mechanism based on the silent information regulator 1 (SIRT1)/nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) signaling pathway. MethodsForty C57/BL6 male mice were randomized into a control group, a model group, and groups with different doses of Erjingwan (8,16,32 g·kg-1). The mouse model of sarcopenia was established by D-gal-induced skeletal muscle senescence. The body weight and grip strength of mice treated with different doses of Erjingwan were examined to evaluate their physiological functions. Hematoxylin-eosin (HE) staining and Masson staining were used to observe the pathological changes and fibrosis in the skeletal muscle of mice. Enzyme-linked immunosorbent assay (ELISA) was adopted to determine the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the serum samples of mice, and biochemical tests were conducted to quantify the levels of superoxide dismutase (SOD), malondialdehyde (MDA), and glutathione (GSH) in the serum. The protein and mRNA levels of SIRT1, Nrf2, B-cell lymphoma (Bcl-2), and Bcl-2-associated X protein (Bax) were determined by Western blot and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. ResultsAfter 4 weeks of drug intervention, the model group exhibited significant reductions in body weight and grip strength (P0.01) compared with the control group. Compared with the model group, all doses of Erjingwan increased the body weight in mice at week 8 (P0.01) and grip strength from week 6 (P0.01). HE staining revealed clear muscle fiber structure in the control group, muscle fiber rupture and atrophy in the model group, and dose-dependent repair of muscle fiber structure in the Erjingwan groups. Masson staining showed minimal collagen fibers and mild fibrosis in the control group, collagen fiber proliferation and severe fibrosis in the model group, and collagen proliferation with dose-dependent inhibition of fibrosis in the Erjingwan groups. ELISA results showed that serum levels of TNF-α and IL-6 were elevated in the model group compared with those in the control group (P0.01). After intervention, the low-dose Erjingwan group exhibited a decreased TNF-α level (P0.05), while the medium and high-dose groups showed decreases in both TNF-α and IL-6 levels (P0.01). Biochemical assays revealed that the model group had decreased SOD and GSH levels (P0.01) and an increased MDA level (P0.01) compared with the control group. The medium and high-dose Erjingwan groups exhibited increases in SOD and GSH levels (P0.01) and decreases in MDA level (P0.01), compared with the model group. WB and Real-time PCR results showed that compared with the control group, the model group presented down-regulated protein and mRNA levels of SIRT1, Nrf2, HO-1, and Bcl-2 in the muscle tissue (P0.01) and up-regulated protein and mRNA levels of Bax (P0.01). Compared with the model group, Erjingwan at different doses up-regulated the protein levels of SIRT1, Nrf2, HO-1, and Bcl-2 (P0.01) and down-regulated the protein and mRNA levels of Bax (P0.01) in the muscle tissue. Low-dose Erjingwan elevated the mRNA levels of Nrf2 and HO-1 (P0.05, P0.01), and medium and high-dose Erjingwan up-regulated the mRNA levels of SIRT1, Nrf2, HO-1, and Bcl-2 (P0.01). ConclusionErjingwan reduced the content of inflammatory factors in skeletal muscle cells, improved the antioxidant capacity, and attenuated pathological changes and fibrosis in the muscle of the mouse model of sarcopenia by regulating the SIRT1/Nrf2/HO-1 pathway, inflammatory response, and apoptosis network.
3.Study on the correlation between depressive state and autonomic dysfunction in patients with Parkinson's disease
Laixiu QIU ; Qiubi TANG ; Xiaolan ZENG ; Luxi LI ; Hongyu TAN
Journal of Public Health and Preventive Medicine 2026;37(1):112-115
Objective To investigate the depressive state of patients with Parkinson's disease (PD), and to analyze the correlation of depressive state with autonomic dysfunction. Methods A total of 327 patients with PD in the hospital were selected from March 2022 to March 2024. The depressive state was evaluated by Hamilton Depression Scale (HAMD). The autonomic nerve function was assessed using the Scale for Outcomes in PD for Autonomic Symptoms (SCOPA-AUT) and heart rate variability [standard deviation of sinus RR interval (SDNN), standard deviation of average sinus RR interval (SDANN), and percentage of successive NN interval differences above 50 ms (pNN50)]. According to the positive depression (HAMD>20 points), the patients were divided into a depression group and a non-depression group. The clinical data and autonomic nerve function indicators were compared between the two groups. Pearson correlation coefficient analysis was performed to analyze the correlation between depressive state and autonomic dysfunction in PD patients. Results The positive rate of depression in patients with PD was 31.19%. There were 102 patients in the depression group and 225 patients in the non-depression group. The years of education and the proportion of mild Hoehn-Yahr stage (H-Y stage) in the depression group were lower than those in the non-depression group, while the disease course was longer, and the Unified Parkinson's Disease Rating Scale (UPDRS) II score and UPDRS III score were higher than those in the non-depression group (P<0.05). The SCOPA-AUT score in the depression group was higher while the SDNN, SDANN and pNN50 were lower compared to the non-depression group (P<0.05). HAMD score was positively correlated with SCOPA-AUT score (r=0.685), and was negatively correlated with SDNN, SDANN and pNN50 (r=-0.578, -0.685, and -0.439) (P<0.05). Conclusion Depression is a common state among patients with PD, and its level is positively correlated with the severity of autonomic dysfunction in patients.
4.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
5.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
6.Compound Xishu Granules Inhibit Proliferation of Hepatocellular Carcinoma Cells by Regulating Ferroptosis
Yuan TIAN ; Yuxi WANG ; Zhen LIU ; Yuncheng MA ; Hongyu ZHU ; Xiaozhu WANG ; Qian LI ; Jian GAO ; Weiling WANG ; Wenhui XU ; Ting WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):37-45
ObjectiveTo study the mechanism of compound Xishu granules (CXG) in inhibiting the proliferation of hepatocellular carcinoma cells by regulating ferroptosis. MethodsThe transplanted tumor model of human Huh7 was established with nude mice and the successfully modeled mice were randomized into model, Fufang Banmao (0.21 g·kg-1), low-dose (1.87 g·kg-1) CXG, medium-dose (3.74 g·kg-1) CXG, and high-dose (7.49 g·kg-1) CXG groups. Mice were administrated with drinking water or CXG for 28 days, and the body weight and tumor volume were measured every 4 days. Hematoxylin-eosin staining was employed to observe the histopathological changes of tumors. The cell-counting kit-8 (CCK-8) was used to examine the survival rate of Huh7 cells treated with different concentrations (0, 31.25, 62.5, 125, 250, 500, 1 000 mg·L-1) of CXG for 24 h and 48 h. CA-AM, DCFH-DA, and C11-BODIPY581/591 fluorescent probes were used to determine the intracellular levels of ferrous ion (Fe2+), reactive oxygen species (ROS), and lipid peroxide (LPO), respectively. The colorimetric method was employed to measure the levels of glutathione (GSH) and superoxide dismutase (SOD). Western blot was employed to determine the protein levels of glutathione peroxidase 4 (GPX4), transferrin receptor 1 (TFR1), and ferritin heavy chain 1 (FTH1), respectively. ResultsIn the animal experiment, compared with the model group, the drug treatment groups showed reductions in the tumor volume from day 12 (P<0.01). After treatment, the Fufang Banmao and low-, medium-, and high-dose CXG groups had lower tumor volume, relative tumor volume, and tumor weight than the model group (P<0.05), with tumor inhibition rates of 48.99%, 79.93%, 91.38%, and 97.36%, respectively. Moreover, the CXG groups had lower tumor volume and relative tumor volume (P<0.05 in all the three dose groups) and lower tumor weight (P<0.05 in medium-dose and high-dose groups) than the Fufang Banmao group. Compared with the model group, the drug treatment groups showed reduced number of tumor cells, necrotic foci with karyopyknosis, nuclear fragmentation, and nucleolysis, and the high-dose CXG group showed an increase in the proportion of interstitial fibroblasts. In the cell experiment, compared with the blank group, CXG reduced the survival rate of Huh7 cells in a dose-dependent manner after incubation for 24 h and 48 h (P<0.05). Compared with the blank group, the RSL3 group and the low-, medium-, and high-dose CXG groups showed a decrease in the relative fluorescence intensity of CA-AM and increases in the fluorescence intensity of DCFH-DA and fluorescence ratio of C11-BODIPY581/591, which indicated elevations in the levels of Fe2+ (P<0.01), ROS (P<0.05), and LPO (P<0.01), respectively. Compared with the blank group, the RSL3 and low-, medium-, and high-dose CXG groups showed lowered levels of GSH and SOD (P<0.05). In addition, the RSL3 group and the medium- and high-dose CXG groups showed down-regulated expression of GPX4 and FTH1 (P<0.05), and the low- and high-dose CXG groups presented up-regulated expression of TFR1 (P<0.05). ConclusionCXG suppresses the proliferation of hepatocellular carcinoma cells by inducing ferroptosis via downregulating the GSH-GPX4 signaling axis and increasing intracellular Fe2+and LPO levels.
7.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
8.A novel loop-structure-based bispecific CAR that targets CD19 and CD22 with enhanced therapeutic efficacy against B-cell malignancies.
Lijun ZHAO ; Shuhong LI ; Xiaoyi WEI ; Xuexiu QI ; Qiaoru GUO ; Licai SHI ; Ji-Shuai ZHANG ; Jun LI ; Ze-Lin LIU ; Zhi GUO ; Hongyu ZHANG ; Jia FENG ; Yuanyuan SHI ; Suping ZHANG ; Yu J CAO
Protein & Cell 2025;16(3):227-231
9.The anti-hyperuricemia potential of bioactive natural products and extracts derived from traditional Chinese medicines: A review and perspective.
Yaolei LI ; Zhijian LIN ; Hongyu JIN ; Feng WEI ; Shuangcheng MA ; Bing ZHANG
Journal of Pharmaceutical Analysis 2025;15(7):101183-101183
Hyperuricemia (HUA) and gout became typical metabolic disorders characterized by multiple pathogenic factors. Their incidence increased annually, affecting younger populations. Given that uric acid (UA) and inflammation were the primary disease mechanisms, the search for effective and low-side-effect UA-lowering and anti-inflammatory drugs became a pressing scientific priority. Traditional Chinese medicine (TCM) encompassed a rich array of theoretical and practical experience, along with a diverse range of chemical substances, making herbs or their components potential sources for therapeutic drugs. Despite the significant role that modern herbal medicines played in treating HUA and gout, the existing research literature remained fragmented, lacking comprehensive and systematic reviews. In this review, we focused on the regulation of UA and summarized the discovery of UA-lowering pharmacodynamic components or ingredients derived from herbs and formulas, as well as their multi-targeted mechanisms of action. Emphasizing this focus, we proposed that, compared to acute inflammation, low-grade inflammation may play a relatively "unnoticed" role in the disease process. In contrast to Western medicine, we discussed the risks and benefits of herbal medicines and their ingredients for treatment, drawing from theoretical insights and clinical practice. This review offered comprehensive perspectives on the research into anti-HUA and gout treatments using herbal medicines and their natural products. Additionally, it provided a forward-looking view on natural product discovery, the exploration of therapeutic strategies, and new drug research in this field.
10.Biological exposure and health risks of arsenic species from medicinal leeches at major exposure points in humans.
Yaolei LI ; Jing FAN ; Hailiang LI ; Xianlong CHENG ; Hongyu JIN ; Feng WEI ; Shuangcheng MA
Journal of Pharmaceutical Analysis 2025;15(7):101177-101177
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