1.The Regulatory Effects and Mechanisms of Piezo1 Channel on Chondrocytes and Bone Metabolic Dysregulation in Osteoarthritis
Yan LI ; Tao LIU ; Yu-Biao GU ; Hui-Qing TIAN ; Lei ZHANG ; Bi-Hui BAI ; Zhi-Jun HE ; Wen CHEN ; Jin-Peng LI ; Fei LI
Progress in Biochemistry and Biophysics 2026;53(3):564-576
Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca2+, K+, and Na+, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca2+ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca2+ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca2+ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.
2.Clinical efficacy of Huangkui capsules in the treatment of targeted drug-related proteinuria in patients with hepatocellular carcinoma
Miao LI ; Jia YUAN ; Chu LIU ; Maopei CHEN ; Xin XU ; Ningling GE ; Yi CHEN ; Lan ZHANG ; Rongxin CHEN ; Yan WANG
Chinese Journal of Clinical Medicine 2026;33(1):88-94
Objective To investigate the therapeutic effect of Huangkui capsules on targeted drug-related proteinuria in patients with hepatocellular carcinoma (HCC). Methods A retrospective analysis was conducted on clinical data of HCC patients with targeted drug-related proteinuria from June 2023 to December 2024 at Zhongshan Hospital, Fudan University. According to the treatment plan, patients were divided into the conventional treatment group and the Huangkui combination treatment group (Huangkui capsules combined with conventional treatment), and the clinical efficacy between the two groups was compared. The logistic regression analysis was used to identify the main factors affecting treatment efficacy. Results The Huangkui combination treatment group (n=29) showed a significantly higher overall effective rate (79.3% vs 42.3%, P=0.005), and an earlier proteinuria improvement (median time: 3 months vs 6 months, P=0.008) than the conventional treatment group (n=26) . The multivariate logistic regression analysis showed angiotensin-converting enzyme inhibitor (ACEI) or angiotensin Ⅱ receptor blocker (ARB) using (OR=0.190, 95%CI 0.045-0.808, P=0.025), targeted drug adjustment (OR=0.132, 95%CI 0.030-0.581, P=0.007), and Huangkui capsules using (OR=0.168, 95%CI 0.039-0.730, P=0.017) were protective factors for treatment efficacy of targeted drug-related proteinuria. Conclusions On the basis of conventional treatment, additive treatment with Huangkui capsules can alleviate targeted drug-related proteinuria faster and more effectively in HCC patients.
3.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
4.Active Ingredients of Traditional Chinese Medicine Regulate Ferroptosis to Inhibit Breast Cancer: A Review
Yan LIU ; Zhenyao YANG ; Chengzhi WANG ; Jiuxian LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):299-306
Breast cancer (BC), a common malignant tumor in women, is characterized by high incidence and mortality rates, posing a serious threat to women's life and health. Currently, the commonly used treatments for BC include surgery, radiotherapy, chemotherapy, molecular targeted therapy, and endocrine therapy. Although radiotherapy and chemotherapy can effectively kill tumor cells and inhibit the proliferation and differentiation of tumor cells, they can induce adverse reactions such as hematopoietic dysfunction and impaired immune function. The other treatment methods also have problems such as drug resistance, high recurrence rates, reduced quality of life, and poor clinical efficacy. Therefore, it is urgent to explore new drugs with better efficacy and lower toxicity. Ferroptosis is a form of iron-dependent, non-apoptotic programmed cell death triggered by lipid peroxidation. In recent years, ferroptosis has become a hot topic in the field of cancer treatment and has been gradually proven to effectively inhibit the proliferation and metastasis of BC cells, reduce the drug resistance of BC to chemotherapy drugs, and enhance the sensitivity of BC to radiotherapy. Traditional Chinese medicine (TCM), with multiple components, multiple targets, and mild side effects, is widely used in the treatment of BC. A large number of studies have shown that active ingredients of TCM, such as saponins, flavonoids, terpenoids, phenols, and polysaccharides, can inhibit the proliferation and metastasis of BC cells by modulating ferroptosis-related pathways. These include iron metabolism, lipid metabolism, cystine/glutamate antiporter system Xc-/glutathione/glutathione peroxidase 4, Specifically, these ingredients elevate the levels of lipid peroxidation, reactive oxygen species, malondialdehyde, and Fe2+ in BC cells, thereby inducing ferroptosis-mediated suppression of tumor progression. This article reviews the relevant literature at home and abroad in recent years, summarizes the mechanisms of ferroptosis in regulating BC and the research progress in the active components of TCM targeting ferroptosis in the intervention of BC, aiming to provide ideas for the development of new drugs for the treatment of BC.
5.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
6.Bibliometric visualization analysis of research literature of Angelica sinensis at home and abroad from 2012 to 2022 based on CiteSpace
Feifei LIU ; Liping CHEN ; Yan ZHONG ; Rong WANG ; Wenbin LI
Journal of Pharmaceutical Practice and Service 2026;44(2):88-95
Objective Based on the visualization graph analysis of the research hotspots of Angelica sinensis, predict the future research trends, and provide references for the next step of Angelica sinensis research. Methods Chinese and English literatures on Angelica sinensis collected from CNKI, WanFang, VIP and Web of Science from 2012 to 2022 were retrieved. CiteSpace 6.1.R6 software was used to perform visualization econometrics analysis on the number of publications, authors, institutions, journals, keywords and other topics. Results
7.Research on the correlation between Ddit3-Trib3-Akt signaling pathway and spermatogenesis in rats based on the testicular tissue co-culture system
Yan LI ; Shanshan LIU ; Lin GAO ; Lingyi KONG ; Xia YUN ; Yan ZHANG ; Taodi LIU
Acta Universitatis Medicinalis Anhui 2026;61(1):91-97
ObjectiveTo verify the association between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis by constructing an in vitro co-culture system of testis. MethodsTesticular tissue blocks from 20-25-day-old male rats were placed in an in vitro culture system, and the culture medium was replaced every 2 to 3 days. PCR was used to verify the expression of marker genes of various spermatogenic cells. RNA interference technology was employed to verify the correlation between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis. ResultsThe co-culture system could be continuously cultured for more than 2.5 months in vitro. RT-PCR showed that specific marker genes of spermatogonia, spermatocyte and spermoblast were expressed. The RNA and protein expression of Trib3 and Akt changed after the knocking down of Ddit3 and Trib3, respectively. It demonstrated the existence of Ddit3-Trib3-Akt signaling pathway in rat spermatogenesis. ConclusionThe culture time of more than 2.5 months indicates that the culture system can temporarily maintain the proliferation and differentiation of stem cells, and simultaneously maintain and stabilize spermatogenesis in a simple system. The successful validation of the Ddit3-Trib3-Akt signaling pathway also confirms that this culture system can be used to study possible molecular mechanisms of spermatogenesis in vitro.
8.Pharmacodynamic Substances and Mechanisms of Xinglou Chengqi Tang in Treating Post-stroke Complications: A Review
Yujin ZHANG ; Xiangzhuo LIU ; Zhouyang CHEN ; Zihao SONG ; Xinyi LIU ; Yizhi YAN ; Chaoya LI ; Yingyan FANG ; Shasha YANG ; Xueqin CHENG ; Zhou XIE ; Sijie TAN ; Peng ZENG ; Yue ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):327-337
Stroke is the leading cause of death and disability among adults in China, and its common complications include digestive system abnormalities, cognitive impairment, depression, stroke-associated pneumonia, and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang (XLCQT) is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically, XLCQT is often used to treat stroke and its complications. However, the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally, since the basic research is weak, the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis, medicinal properties, safety evaluation, and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients, resveratrol, kaempferol, luteolin, chrysoeriol, apigenin, (+)-catechin, and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex, including inflammatory response, brain-gut axis, hypothalamic-pituitary-adrenal (HPA) axis, intestinal flora, neurotrophic factors, autophagy, oxidative stress, and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.
9.Construction and validation of a medication deviation prediction model for hospital-to-home transition period in coronary heart disease patients with initial treatment
Yushuang LI ; Shu LI ; Qianying ZHANG ; Yan HUANG ; Kun LIU ; Xiulin GU ; Huanhuan JIANG
China Pharmacy 2026;37(4):491-496
OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease (CHD) patients with initial treatment, aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology (hereinafter referred to as “our hospital”) between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly, 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors, followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance, while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group (319 cases) and an internal validation group (143 cases). In the modeling group, the medication deviation group (192 cases, 60.19%) and the non-medication deviation group (127 cases, 39.81%) were identified. Multivariate Logistic regression analysis revealed that age, medication type, medication adherence, and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment ( P <0.05). The predictive model equation was logit P =ln[ P /(1- P ) ] =1.321+1.732×age+4.091×medication type -4.360×medication adherence -3.081×self-efficacy in rational medication use. The model demonstrated good discrimination, with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439, an area under the receiver operating characteristic curve (AUC) of 0.870, sensitivity of 0.970, and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%, while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy, effectively identifying high-risk populations for medication deviations. Age (>70 years), number of drug types≥5, poor medication adherence, and poor self-efficacy in rational medication use are independent risk factors for medication deviations.
10.Two cases of acute radiation-induced skin injury caused by external exposure to 192Ir
Li LI ; Wei SHANG ; Yan LING ; Mi WANG ; Huisheng ZHANG ; Chiqiao LU ; Xiaohu ZHONG ; Shenglong XU ; Juan GUO ; Chang LIU ; Yulong LIU
Chinese Journal of Radiological Health 2026;35(1):56-61
Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

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