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.Modified Huangqi Jianzhong Decoction Alleviates Gastric Precancerous Conditions in Mice by Regulating Mitochondrial Function via FoxO3/ROS Signaling Pathway
Yueqiang WEN ; Li ZHOU ; Dan LUO ; Maoyuan ZHAO ; Jun HAN ; Xueyi LI ; Jianguo LI ; Zhelin HE ; Tao SHEN ; Jinhao ZENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):216-225
ObjectiveTo investigate the therapeutic effects and mechanisms of modified Huangqi Jianzhong decoction (HQJZ) on gastric precancerous conditions (GPC). MethodsIn the cell experiment, human gastric mucosal epithelial cells underwent malignant transformation induced by N-methyl-N′-nitro-N-nitrosoguanidine (MNNG) for the modeling of GPC (MC cells). The cells were allocated into four groups: control , model, low-dose HQJZ (HQJZ-L), and high-dose HQJZ (HQJZ-H). The control and model groups were cultured with the complete medium, while HQJZ-L and HQJZ-H groups received additional interventions with HQJZ at low (0.5 g·L-1) and high (1.0 g·L-1) doses, respectively. Cell counting kit-8 (CCK-8) assay was used to evaluate cytotoxicity, Transwell assay to assess cell invasion, Annexin V-FITC/PI staining to detect apoptosis, immunofluorescence assay to analyze reactive oxygen species (ROS) expression and mitochondrial autophagy, and Western blot to verify expression of proteins in key pathways. In the animal experiment, the GPC model was established in healthy BALB/c mice through MNNG induction. Twenty-four mice were allocated into four groups: control, model, HQJZ-L, and HQJZ-H. Control and model groups received normal saline (10 mL·kg-1·d-1) orally, while HQJZ-L and HQJZ-H groups were administrated with low-dose (6.24 g·kg-1·d-1) and high-dose (12.48 g·kg-1·d-1) HQJZ, respectively. After treatment, hematoxylin‑eosin (HE) staining and AB-PAS staining were performed to observe histopathological changes in the gastric tissue. Immunofluorescence assay was used to detect reactive oxygen species (ROS) and microtubule-associated protein 1 light chain 3 (LC3) levels in the gastric mucosa, TdT-mediated dUTP nick-end labeling (TUNEL) staining to assess apoptosis rates, and Western blotting and immunohistochemistry (IHC) to analyze the expression levels of Ki67, proliferating cell nuclear antigen (PCNA), and foxhead box O3 (FoxO3). ResultsCell viability assays showed that HQJZ dose-dependently reduced MC cell viability compared with the control group (P<0.05, P<0.01). Transwell assays revealed that the model group exhibited enhanced cell invasion compared with the control group (P<0.05). Compared with the model group, HQJZ treatment attenuated the cell invasion (P<0.05). Gastric mucosal pathology in mice demonstrated that compared with the control group, the model group showed elevated HE and AB-PAS pathological scores (P<0.05), while HQJZ treatment reduced these scores (P<0.05). Transmission electron microscopy revealed increased mitochondrial number and volume in the model group compared with the control group. HQJZ treatment resulted in abnormal mitochondrial structure and significant alterations in rough endoplasmic reticulum morphology and distribution, presenting as dilated and hollow forms. Mitochondrial and apoptosis assessments indicated that compared with the control group, the model group exhibited enhanced Mito Tracker Green fluorescence (P<0.05), no significant change in DCFH-DA fluorescence, Mito Tracker Red CMXRos fluorescence, ROS immunofluorescence, or malondialdehyde (MDA) level, increased GSH level (P<0.05), enhanced LC3 fluorescence (P<0.05), no significant change in apoptosis rate, and elevated ATP content in cells and mouse serum (P<0.05). Compared with the model group, HQJZ treatment reduced Mito Tracker Green fluorescence (P<0.05), increased DCFH-DA fluorescence, Mito Tracker Red fluorescence, MDA level, LC3 fluorescence, and apoptosis rate (P<0.05), and decreased cellular ATP content (P<0.05). The HQJZ-L group showed no significant change in ROS immunofluorescence or GSH level, whereas the HQJZ-H group demonstrated enhanced ROS immunofluorescence and glutathione (GSH) level (P<0.05). Immunohistochemistry and Western blotting revealed that compared with the control group, the model group exhibited increased numbers of PCNA- and Ki67-positive cells (P<0.05) and elevated protein levels of FoxO3, sirtuin 1 (SIRT1), and B-cell lymphoma 6 (Bcl-6) (P<0.05). HQJZ treatment reduced the numbers of PCNA- and Ki67-positive cells (P<0.05) and lowered the protein levels of FoxO3, SIRT1, and Bcl-6 (P<0.05). ConclusionHQJZ alleviates the progression of gastric precancerous lesions by regulating mitochondrial function via the FoxO3/ROS pathway and promoting apoptosis of GPC-malignant cells.
3.Research on the synergistic development and governance path of healthcare,insurance and pharmaceutical sectors based on the rooting theory
Wen-jun SHEN ; Da HE ; Ai-bing QIAN
Chinese Journal of Health Policy 2025;18(3):18-23
Objective:To outline and analyze the core elements of the coordinated development and governance of China's tripartite system,and to provide policy optimization recommendations to promote its coordinated development and governance.Method:Using grounded theory research methodology,this study constructs a path model for the coordinated development and governance of the tripartite system based on interview records from 28 participants.The process involves three levels of coding:open coding,axial coding,and selective coding.Results:The path of the coordinated development and governance of the tripartite system was summarized into 20 initial categories,8 main categories and 3 core categories(departmental coordination mechanism,construction of a service-oriented government,publicity and guidance),and then a theoretical model was formed with the long-term development of the coordinated development and governance of the tripartite system as the result and the protection of people's health as the ultimate goal.Conclusions:It is suggested to enhance the awareness of departmental coordination,consolidate the foundation of coordinated development and governance;try to change the thinking angle,and constantly improve the service awareness;strengthen public publicity and education,and attach importance to public opinion early warning and response.
4.Comparative study of single-criteria and multi-criteria optimization modes for cervical cancer VMAT radiotherapy plans by Raystation planning system
Gang LI ; Yu-song LONG ; Jun-wen TAN ; Xian-tao HE ; Yong-fu FENG ; Zhan-yu WANG
Chinese Medical Equipment Journal 2025;46(9):39-44
Objective To carry out cervical cancer VMAT radiotherapy planning respectively with the single-criteria optimization(SCO)and multi-criteria optimization(MCO)modes of Raystation 4.7 planning system,and to provide references for selecting optimization mode clinically by comparing and analyzing the dosimetric parameters such as target dose distribution,exposure dose to organ at risk(OAR),monitor unit and beam-on time.Methods Ten cervical cancer patients who attended some hospital from February to December 2022 were retrospectively selected,and some VMAT plans were designed for them with the SCO mode of Raystation 4.7 planning system and then enrolled into a SCO group;other VMAT plans were redesigned with the MCO mode under the premise the setup conditions such as machine model and shot field angle were unchanged,and divided into a MCO group.The two groups were compared in terms of maximum dose(D2%),minimum dose(D98%),homogeneity index(HI)and conformity index(CI)of the planning target volume(PTV),beam-on time,monitor unit and exposure doses to OARs including bladder V50 Gy,V40 Gy and V30 Gy,rectum V50 Gy,V40 Gy and V30 Gy,small intestine V50 Gy,V40 Gy and V30 Gy and left and right femur V50 Gy,V40 Gy and V30 Gy.SPSS 22.0 software was used for statistical analysis.Results Both the two groups met clinical requirements.There were no significant differences between the two groups in D98%,CI,small intestine V50 Gy and left and right femur V40 Gy(P>0.05).The MCO group had the values of HI,D2%,V50 Gy,V40 Gy and V30 Gy,rectum V50 Gy,V40 Gy and V30 Gy,small intestine V40 Gy and V30 Gy and left and right femur V30 Gy lower than those of the SCO group,with the differences being statistically significant(P<0.05).The SCO group had less monitor units and shorter beam-on time when compared with the MCO group,with the differences being statistically siginificant(P<0.05).Conclusion When compared with the SCO mode-based VMAT plans,the MCO mode-based VMAT plans significantly decrease the exposure doses and volume to rectum,bladder and small intestine and raise the PTV homogeneity,while lower the treatment efficiency to some extent by increased monitor units and prolonged beam-on time.[Chinese Medical Equipment Journal,2025,46(9):39-44]
5.Research on UAV visible light small target detection method based on improved YOLOv8
Jun XIE ; Qin-wen PING ; Bin-yue CAO ; Bing-wen LIU ; Mi HE
Chinese Medical Equipment Journal 2025;46(1):1-6
Objective To propose an improved Y OLOv8-based visible small target detection method to solve the problems of the UAV visible light system in accuracy and timeliness when applied to measuring small targets.Methods A YOLOv8 network consisting of Backbone,Neck and Head was used as the base framework to construct an AGC-YOLO model.Firstly,a convolutional block attention module(CBAM)was incorporated into Backbone to improve the feature expression of the model;secondly,some traditional convolution modules were replaced with the changeable kernel convolution module AKconv to reduce the network parameters;finally,a Gold-YOLO module was involved in Neck to enhance the detection ability for targets with different sizes.VisDrone2019 dataset was used to carry out ablation and comparison experiments,and the efficacy of the AGC-YOLO model for detecting small targets was evaluated in terms of mean average precision(mAP),frames per second(FPS),giga floating-point operations per second(GFLOPs)and parameters.Results The AGC-YOLO model had the FPS,GFLOPs and parameters being 31.90,9.20 and 11.30 M respectively,meeting the real-time detection speed requirements of drones(FPS not lower than 30),in which the mAP50(the mAP with the intersection over union being 0.5)was increased by 15%,6%and 5%when compared with those of the lightweight YOLOv8n,Ghost-YOLO and YOLO-BiFPN models.Conclusion The method proposed behaves well in speed,decreased parameters and precision,and is worthy promoting for UAV visible small target detection.[Chinese Medical Equipment Journal,2025,46(1):1-6]
6.Prognostic impact of chemotherapy in primary hepatic diffuse large B-cell lymphoma:a SEER-based machine learning analysis
Kun HUANG ; Wen WANG ; Ting YANG ; Yunsheng HE ; Jun FENG
Chinese Journal of General Surgery 2025;34(7):1401-1409
Background and Aims:Primary hepatic diffuse large B-cell lymphoma(DLBCL)is rare and carries a poor prognosis,with no large-scale evidence supporting the value of chemotherapy.This study used real-world,large-sample data from the SEER database to evaluate the prognostic impact of chemotherapy in patients with primary hepatic DLBCL.Methods:Clinical data of patients pathologically diagnosed with primary hepatic DLBCL between 2000 and 2019 were extracted from the SEER database and grouped according to whether they received chemotherapy.Kaplan-Meier survival analysis,Cox proportional hazards models,and random survival forest models were employed to identify factors influencing overall survival(OS)and cancer-specific survival(CSS),and subgroup analyses were performed.Results:A total of 594 patients were included,with a median age of 66 years;435(73.2%)received chemotherapy.After a median follow-up of 17.5 months,the median OS was 81(7-173)months in the chemotherapy group versus 11(2-171)months in the non-chemotherapy group.The OS and CSS rates in the chemotherapy group were significantly higher than those in the non-chemotherapy group(67.99%vs.47.77%;71.03%vs.52.87%,both P<0.05).Multivariate analysis showed that chemotherapy was an independent protective factor for OS(HR=0.39,95%CI=0.31-0.48)and CSS(HR=0.37,95%CI=0.29-0.48).In the random survival forest model,chemotherapy ranked highest in variable importance.Subgroup analyses produced consistent results.Conclusion:Chemotherapy is an independent prognostic factor for patients with primary hepatic DLBCL and can significantly improve survival.The R-CHOP regimen may be the preferred therapeutic option.
7.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
8.Role of Innate Trained Immunity in Diseases
Chuang CHENG ; Yue-Qing WANG ; Xiao-Qin MU ; Xi ZHENG ; Jing HE ; Jun WANG ; Chao TAN ; Xiao-Wen LIU ; Li-Li ZOU
Progress in Biochemistry and Biophysics 2025;52(1):119-132
The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.
9.A Fitting Method for Photoacoustic Pump-probe Imaging Based on Phase Correction
Zhuo-Jun XIE ; Hong-Wen ZHONG ; Run-Xiang LIU ; Bo WANG ; Ping XUE ; Bin HE
Progress in Biochemistry and Biophysics 2025;52(2):525-532
ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.
10.A minimally invasive, fast on/off "odorgenetic" method to manipulate physiology.
Yanqiong WU ; Xueqin XU ; Shanchun SU ; Zeyong YANG ; Xincai HAO ; Wei LU ; Jianghong HE ; Juntao HU ; Xiaohui LI ; Hong YU ; Xiuqin YU ; Yangqiao XIAO ; Shuangshuang LU ; Linhan WANG ; Wei TIAN ; Hongbing XIANG ; Gang CAO ; Wen Jun TU ; Changbin KE
Protein & Cell 2025;16(7):615-620

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