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.Relationship of non-suicidal self-injury behavior with serum lipid levels and thyroid function among college students with depression
CHEN Lu, YANG Zhiqiang, CAO Xiaoping, ZHAO Yanxia, LIANG Shaoying, LUO Yi, LI Hongyu
Chinese Journal of School Health 2026;47(3):394-397
Objective:
To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression.
Methods:
A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression.
Results:
The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%.
Conclusions
NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.
7.Mitogen-activated protein kinase signaling pathway regulates the development of osteoarthritis:guiding targeted therapy with traditional Chinese medicine
Hao LI ; Hongcheng TAO ; Ping ZENG ; Jinfu LIU ; Qiang DING ; Chicheng NIU ; Kai HUANG ; Hongyu KANG
Chinese Journal of Tissue Engineering Research 2026;30(6):1476-1485
BACKGROUND:Osteoarthritis is pathologically characterized by progressive degeneration of the articular cartilage and abnormal deformation of the subchondral bone.In recent years,with the deepening of medical research,it has been found that the mitogen-activated protein kinases(MAPK)signaling pathway has a regulatory role in inflammatory cell infiltration,inflammatory factor release,and chondrocyte proliferation,which is particularly important for the treatment of osteoarthritis.OBJECTIVE:To briefly review the main research progress in the mechanism of MAPK signaling pathway regulating osteoarthritis in recent years,aiming to provide new ideas for the treatment of osteoarthritis.METHODS:CNKI,WanFang and PubMed databases were searched for relevant literature using the search terms of"mitogen-activated protein kinases,osteoarthritis,extracellular signal-regulated MAP kinases,p38 mitogen-activated protein kinases,JNK mitogen-activated protein kinase"in Chinese and English.Relevant literature published from January 2019 to November 2024 was searched,and 108 articles were finally included for summary analysis.RESULTS AND CONCLUSION:(1)Various stimuli inside and outside the cells activate the MAPK signaling pathway,regulate gene transcription and protein synthesis,and promote the release of inflammatory factors,such as tumor necrosis factor-α,interleukin-1β,and interleukin-6.The release of these inflammatory factors aggravates the progression of osteoarthritis.(2)The active ingredients of traditional Chinese medicine,mainly saponins and flavonoids,as well as Chinese herbal formulas and preparations with the main effects of activating blood circulation and removing blood stasis,tonifying the liver and kidney,can play a therapeutic role in osteoarthritis by inhibiting the MAPK signaling pathway,regulating the release of matrix metalloproteinases,balancing the homeostatic state of osteogenesis and osteoblastogenesis,attenuating the synovial inflammation,decreasing the release of inflammatory factors and inflammatory vesicles,decreasing cellular pyroptosis,promoting autophagy,and ameliorating oxidative stress.(3)Although traditional Chinese medicine has become popular in the treatment of osteoarthritis by virtue of its own advantages of multi-components,multi-targets,multi-pathways,and low side effects,the use of MAPK signaling pathway to guide the treatment of individual osteoarthritis is the difficulty of the technology,which needs to be continuously researched and explored.(4)Therefore,further development of relevant herbal inhibitors that can modulate the MAPK signaling pathway may be a potential drug strategy for the treatment of osteoarthritis in the future.
8.Mitogen-activated protein kinase signaling pathway regulates the development of osteoarthritis:guiding targeted therapy with traditional Chinese medicine
Hao LI ; Hongcheng TAO ; Ping ZENG ; Jinfu LIU ; Qiang DING ; Chicheng NIU ; Kai HUANG ; Hongyu KANG
Chinese Journal of Tissue Engineering Research 2026;30(6):1476-1485
BACKGROUND:Osteoarthritis is pathologically characterized by progressive degeneration of the articular cartilage and abnormal deformation of the subchondral bone.In recent years,with the deepening of medical research,it has been found that the mitogen-activated protein kinases(MAPK)signaling pathway has a regulatory role in inflammatory cell infiltration,inflammatory factor release,and chondrocyte proliferation,which is particularly important for the treatment of osteoarthritis.OBJECTIVE:To briefly review the main research progress in the mechanism of MAPK signaling pathway regulating osteoarthritis in recent years,aiming to provide new ideas for the treatment of osteoarthritis.METHODS:CNKI,WanFang and PubMed databases were searched for relevant literature using the search terms of"mitogen-activated protein kinases,osteoarthritis,extracellular signal-regulated MAP kinases,p38 mitogen-activated protein kinases,JNK mitogen-activated protein kinase"in Chinese and English.Relevant literature published from January 2019 to November 2024 was searched,and 108 articles were finally included for summary analysis.RESULTS AND CONCLUSION:(1)Various stimuli inside and outside the cells activate the MAPK signaling pathway,regulate gene transcription and protein synthesis,and promote the release of inflammatory factors,such as tumor necrosis factor-α,interleukin-1β,and interleukin-6.The release of these inflammatory factors aggravates the progression of osteoarthritis.(2)The active ingredients of traditional Chinese medicine,mainly saponins and flavonoids,as well as Chinese herbal formulas and preparations with the main effects of activating blood circulation and removing blood stasis,tonifying the liver and kidney,can play a therapeutic role in osteoarthritis by inhibiting the MAPK signaling pathway,regulating the release of matrix metalloproteinases,balancing the homeostatic state of osteogenesis and osteoblastogenesis,attenuating the synovial inflammation,decreasing the release of inflammatory factors and inflammatory vesicles,decreasing cellular pyroptosis,promoting autophagy,and ameliorating oxidative stress.(3)Although traditional Chinese medicine has become popular in the treatment of osteoarthritis by virtue of its own advantages of multi-components,multi-targets,multi-pathways,and low side effects,the use of MAPK signaling pathway to guide the treatment of individual osteoarthritis is the difficulty of the technology,which needs to be continuously researched and explored.(4)Therefore,further development of relevant herbal inhibitors that can modulate the MAPK signaling pathway may be a potential drug strategy for the treatment of osteoarthritis in the future.
9.Survey of post-discharge exercise behavior and analysis of factors influencing exercise intensity in patients undergoing lung surgery
Hongyu ZENG ; Xiang WANG ; Tian ZHANG ; Yaqin WANG ; Xing WEI ; Zhen DAI ; Liping ZHANG ; Xiaoqin LIU ; Qiang LI ; Qiuling SHI ; Wei DAI ; Jia LIAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(05):734-742
Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.
10.Discussion on the Role of Ferroptosis in Chronic Obstructive Pulmonary Disease from the Perspective of "Qi Deficiency with Retention and Stagnation"
Yuchen GAO ; Hongyu ZHU ; Heyue XIA ; Dian ZENG ; Cheng YANG ; Jiabing TONG ; Zegeng LI ; Qinjun YANG
Journal of Traditional Chinese Medicine 2026;67(11):1167-1172
Ferroptosis is a key driver of the onset and progression of chronic obstructive pulmonary disease (COPD). By exploring the role of ferroptosis in COPD from the perspective of "qi deficiency with retention and stagnation", it is considered that mitochondrial dysfunction and imbalanced antioxidant defenses are the microscopic manifestations of "qi deficiency", whereas iron accumulation and lipid peroxide deposition constitute the pathological basis of "retention and stagnation". In traditional Chinese medicine (TCM), the treatment principle is tonifying deficiency and benefiting qi, scattering retention and unblocking stagnation. Its mechanism involves improving the antioxidant system and mitochondrial function to enhance cellular resistance to ferroptosis, as well as relieving pulmonary iron overload, excessive lipid peroxidation, and inflammatory factor release to reduce the accumulation of pathological products, thereby exerting therapeutic effects on COPD.


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