Abnormal synaptic plasticity is an early pathological feature of Alzheimer disease (AD). Synaptic damage and dysfunction initiate neuronal degeneration and death, ultimately leading to cognitive impairment. Traditional Chinese medicine (TCM) can effectively ameliorate cognitive dysfunction through multitarget regulation of synaptic plasticity. This review summarizes the mechanisms by which TCM, including active components, single herbs, and classical formulas, modulates synaptic plasticity, offering new insights for future research and clinical applications. Relevant experimental studies published between 2020 and 2024 were retrieved from major databases, including China National Knowledge Infrastructure, the National Science and Technology Library, Wanfang Data, Elsevier, ScienceDirect, PubMed, SpringerLink, and Web of Science. Network pharmacology and bioinformatics approaches were used to predict the therapeutic effects and mechanisms of TCM on AD-related synaptic plasticity. In total, 15 TCM single herbs and 11 TCM formulas were identified as enhancing AD-related synaptic plasticity. Additionally, 15 active ingredients targeting synaptic plasticity in AD were retrieved from TCM databases over the past decade. This review provides novel perspectives and strategic directions for future AD research and therapeutic development.

Background The pathogenesis of silicosis has not been fully elucidated, and microRNAs (miRNA) may be involved in the occurrence and development of silicosis. Objective To investigate the effect of miR-204-3p inhibitor on the epithelial-mesenchymal transition (EMT) process and silicosis fibrosis in silicon dioxide dust-induced alveolar epithelial cells. Methods A co-culture model of macrophages and epithelial cells was established using a Transwell chamber. NR8383 macrophages were seeded into the upper chamber of the Transwell, and RLE-6TN cells were seeded into the lower chamber. After 24 h of culture, the medium in the lower chamber was discarded, washed three times with phosphate-buffered saline (PBS), and replaced with serum-free medium. The cells were divided into four groups: control group, silicosis group, miRNA NC group, and miR-204-3p inhibitor group. The lower chamber was transfected with miRNA NC for the miRNA NC group or the miR-204-3p inhibitor for the miR-204-3p inhibitor group. The lower chambers of the remaining two groups were added by equal amounts of serum-free medium. After 24 h, except for the control group that received an equal volume of serum-free medium, the upper chambers of the remaining three groups were treated with 800 μg·mL⁻¹ silicon dioxide dust. Morphological changes in each group were observed under a microscope. The mRNA and protein expression levels of EMT-related factors, including α-smooth muscle actin (α-SMA), Vimentin, N-Cadherin, and E-Cadherin, were detected by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) and Western blot. The mRNA and protein expression levels of fibrosis-related factors, including Collagen I, Collagen III, and Fibronectin, were also assessed by RT-qPCR and Western blot. The fluorescence expression intensities of α-SMA, N-Cadherin, and E-Cadherin were evaluated by immunofluorescence. Results The morphological observation revealed that RLE-6TN cells in the control group exhibited a regular oval shape. After treatment with silicon dioxide, the cells predominantly displayed a long spindle shape. Following the intervention with the miR-204-3p inhibitor, the number of long spindle-shaped cells increased, and the intercellular gaps widened. The RT-qPCR results showed that, compared with the control group, the silicosis group exhibited significantly higher relative mRNA expression levels of EMT-related markers (α-SMA, Vimentin, and N-Cadherin) (P<0.05), while the relative mRNA expression level of E-Cadherin was significantly reduced (P<0.05); the relative mRNA expression levels of fibrosis-related markers (Collagen I, Collagen III, and Fibronectin) were also significantly elevated (P<0.05). Compared with the miRNA NC group, the miR-204-3p inhibitor group showed significantly increased relative mRNA expression levels of α-SMA, Vimentin, and N-Cadherin (P<0.05), decreased E-Cadherin mPNA expression (P<0.05), and elevated mPNA expression of Collagen I, Collagen III, and Fibronectin (P<0.05). The Western blot analysis indicated that, compared with the control group, the silicosis group had significantly higher protein expression levels of α-SMA, Vimentin, and N-Cadherin (P<0.05), lower E-Cadherin protein expression (P<0.05), and increased protein expression of Collagen I, Collagen III, and Fibronectin (P<0.05). Compared with the miRNA NC group, the miR-204-3p inhibitor group exhibited significantly elevated protein expression levels of α-SMA, Vimentin, and N-Cadherin (P<0.05), reduced E-Cadherin expression (P<0.05), and increased protein expression of Collagen I, Collagen III, and Fibronectin (P<0.05). The immunofluorescence analysis demonstrated that, compared with the control group, the silicosis group showed enhanced fluorescence intensities of α-SMA and N-Cadherin and reduced fluorescence intensity of E-Cadherin. Compared with the miRNA NC group, the miR-204-3p inhibitor group exhibited increased fluorescence intensities of α-SMA and N-Cadherin and decreased fluorescence intensity of E-Cadherin. Conclusion The miR-204-3p inhibitor may exacerbate the EMT process and silicosis fibrosis in silicon dioxide-induced RLE-6TN cells. miR-204-3p plays a negative regulatory role in silicosis fibrosis.

Multibody dynamics simulation of the musculoskeletal system is an essential tool for analyzing the biomechanical mechanisms underlying human motion.Recent research trends have shifted from traditional physics-based models toward data-driven or data-physics hybrid frameworks.This review presents the latest developments in these areas.Physics-based multibody dynamics simulations have undergone significant progress in terms of simulation fidelity,optimization algorithms,and software tools.However,their practical implementation remains constrained by the need for complex experimental data and the computational expense of solving differential equations.Conversely,data-driven method bolstered by advancements in deep learning have demonstrated remarkable efficiency in predicting joint angles,postures,ground reaction forces,joint torques,and muscle forces,as well as developing control algorithms for exoskeletons.However,despite these advantages,data-driven approaches face challenges such as limited generalizability and potential violation of biomechanical principles.To address these limitations,data-physics hybrid approaches(e.g.,physics-informed neural network,PINN)which integrate physical constraints(e.g.,Newton-Euler equations,muscle constitutive laws)with data-driven architectures have been developed.This synergy enhances prediction accuracy while preserving the biological plausibility of solutions.Nevertheless,critical challenges persist,including the integration of multi-scale physical equations and the modeling of multi-joint coordination dynamics.Future research should prioritize:optimizing hybrid model architectures to balance computational efficiency and mechanistic accuracy,incorporating markerless motion capture techniques to improve real-world applicability,exploiting multi-scale physics and personalized parameter inversion to advance precision rehabilitation and motion analysis.These efforts will foster innovations in intelligent rehabilitation systems,clinical motion assessment,and related translational fields.

Objective To explore the role of miR-204-3p in silicosis and to elucidate the mechanism by which it affects silicosis fibers by regulating silica dust-induced alveolar epithelial-mesenchymal transition(EMT)in rats.Methods Forty SD rats were divided randomly into 4 groups:Control,Silicosis,AAV-Control,and AAV-miR-204-3p groups.The pathology of lung tissue damage was detected by hematoxylin and eosin(HE)and Masson staining.Relative expression levels of miR-204-3p and EMT marker genes in lung tissues from rats in each group were analyzed by real-time fluorescence reverse transcription quantitative PCR(RT-qPCR),and protein expression levels of EMT-related markers in lung tissues were detected by Western blot.Results The alveolar structure was damaged,the lung septa showed interstitial fibrosis,and expression levels of mesenchymal markers were elevated in the Silicosis group compared with the Control group(P＜0.05,P＜0.01,P＜0.001).The alveolar structure was more complete,the EMT process was alleviated,fibrosis was improved,and mesenchymal marker expression was reduced in the AAV-miR-204-3p group compared with the AAV-Control group(P＜0.05,P＜0.01,P＜0.001).Conclusions Free silica dust induces EMT in rat lung tissue.Overexpression of miR-204-3p can attenuate the EMT process induced by free silica dust in rats,and may thus affect silicosis fibrosis.

Objective To explore the role of miR-204-3p in silicosis and to elucidate the mechanism by which it affects silicosis fibers by regulating silica dust-induced alveolar epithelial-mesenchymal transition(EMT)in rats.Methods Forty SD rats were divided randomly into 4 groups:Control,Silicosis,AAV-Control,and AAV-miR-204-3p groups.The pathology of lung tissue damage was detected by hematoxylin and eosin(HE)and Masson staining.Relative expression levels of miR-204-3p and EMT marker genes in lung tissues from rats in each group were analyzed by real-time fluorescence reverse transcription quantitative PCR(RT-qPCR),and protein expression levels of EMT-related markers in lung tissues were detected by Western blot.Results The alveolar structure was damaged,the lung septa showed interstitial fibrosis,and expression levels of mesenchymal markers were elevated in the Silicosis group compared with the Control group(P＜0.05,P＜0.01,P＜0.001).The alveolar structure was more complete,the EMT process was alleviated,fibrosis was improved,and mesenchymal marker expression was reduced in the AAV-miR-204-3p group compared with the AAV-Control group(P＜0.05,P＜0.01,P＜0.001).Conclusions Free silica dust induces EMT in rat lung tissue.Overexpression of miR-204-3p can attenuate the EMT process induced by free silica dust in rats,and may thus affect silicosis fibrosis.

ObjectiveTo explore the effects of different dosage forms of Kaixinsan （KXS） on the morphology and function of mitochondria in rat models of Alzheimer's disease （AD） and potential mechanisms of action. MethodsMale SD rats were randomly assigned to a sham group， model group， treatment groups receiving KXS decoction， powders， and granules （3.08 g·kg^-1）， as well as donepezil group （0.51×10^-3 g·kg^-1）， with 10 rats in each group. AD model was created using intracerebroventricular injection of streptozocin （STZ）. After 30 days of administration， behavioral assessments were conducted， and mitochondrial morphology was observed using transmission electron microscopy. Mitochondrial respiratory chain complex content was measured via enzyme-linked immunosorbent assay （ELISA）. Changes in mitochondrial membrane potential were measured via JC-1 staining， and superoxide dismutase （SOD） activity and reactive oxygen species （ROS） levels were measured via biochemical assays. The mRNA expression of adenosine 5'-monophosphate-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， and silent information regulator 3 （SIRT3） was detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）， and Western blot was used to examine the protein expression levels of optic atrophy protein1 （OPA1）， mitochondrial fission protein 1 （FIS1）， AMPK， p-AMPK， PGC-1α， and SIRT3. ResultsCompared with the sham group， rats in the model group had significantly lower recognition index， spontaneous alternation rate， escape latency， number of platform crossings， time spent in the target quadrant， and percentage of distance traveled in the target quadrant distance （P<0.05， P<0.01）. Significant mitochondrial damage was observed in the hippocampal tissue， with a marked decrease in mitochondrial respiratory chain complex content （P<0.01） and reduced mitochondrial membrane potential （P<0.05）. Additionally， the SOD activity was reduced， while ROS levels were elevated （P<0.01）. The mRNA expression of PGC-1α and SIRT3 was significantly downregulated （P<0.01）， along with decreased protein expression levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， whereas FIS1 protein expression was significantly upregulated （P<0.05， P<0.01）. Compared with the model group， rats in KXS-treated groups （various dosage forms） showed significant improvement in behavioral indexes （P<0.05， P<0.01）， reduced hippocampal mitochondrial damage， and more organized mitochondrial cristae. Mitochondrial respiratory chain complex content was significantly increased （P<0.05， P<0.01）， and mitochondrial membrane potentials were elevated （P<0.05）. SOD activity was elevated， and ROS levels were significantly reduced （P<0.05， P<0.01）. Furthermore， the mRNA expression of PGC-1α and SIRT3 was upregulated， with increased protein levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， while FIS1 protein expression levels were significantly reduced （P<0.05， P<0.01）. Across the KXS-treated groups， the granule group showed a higher spontaneous alternation rate than the decoction and powder groups （P<0.05）. ConclusionKXS decoction， powders， and granules can improve the learning and memory ability of rats， with granules being the most effective. The mechanism of action may involve activation of the AMPK/PGC-1α/SIRT3 signaling pathway， improvement of the mitochondrial function， and subsequent amelioration of the brain energy metabolism disorders.

ObjectiveTo explore the effects of different dosage forms of Kaixinsan （KXS） on the morphology and function of mitochondria in rat models of Alzheimer's disease （AD） and potential mechanisms of action. MethodsMale SD rats were randomly assigned to a sham group， model group， treatment groups receiving KXS decoction， powders， and granules （3.08 g·kg^-1）， as well as donepezil group （0.51×10^-3 g·kg^-1）， with 10 rats in each group. AD model was created using intracerebroventricular injection of streptozocin （STZ）. After 30 days of administration， behavioral assessments were conducted， and mitochondrial morphology was observed using transmission electron microscopy. Mitochondrial respiratory chain complex content was measured via enzyme-linked immunosorbent assay （ELISA）. Changes in mitochondrial membrane potential were measured via JC-1 staining， and superoxide dismutase （SOD） activity and reactive oxygen species （ROS） levels were measured via biochemical assays. The mRNA expression of adenosine 5'-monophosphate-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， and silent information regulator 3 （SIRT3） was detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）， and Western blot was used to examine the protein expression levels of optic atrophy protein1 （OPA1）， mitochondrial fission protein 1 （FIS1）， AMPK， p-AMPK， PGC-1α， and SIRT3. ResultsCompared with the sham group， rats in the model group had significantly lower recognition index， spontaneous alternation rate， escape latency， number of platform crossings， time spent in the target quadrant， and percentage of distance traveled in the target quadrant distance （P<0.05， P<0.01）. Significant mitochondrial damage was observed in the hippocampal tissue， with a marked decrease in mitochondrial respiratory chain complex content （P<0.01） and reduced mitochondrial membrane potential （P<0.05）. Additionally， the SOD activity was reduced， while ROS levels were elevated （P<0.01）. The mRNA expression of PGC-1α and SIRT3 was significantly downregulated （P<0.01）， along with decreased protein expression levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， whereas FIS1 protein expression was significantly upregulated （P<0.05， P<0.01）. Compared with the model group， rats in KXS-treated groups （various dosage forms） showed significant improvement in behavioral indexes （P<0.05， P<0.01）， reduced hippocampal mitochondrial damage， and more organized mitochondrial cristae. Mitochondrial respiratory chain complex content was significantly increased （P<0.05， P<0.01）， and mitochondrial membrane potentials were elevated （P<0.05）. SOD activity was elevated， and ROS levels were significantly reduced （P<0.05， P<0.01）. Furthermore， the mRNA expression of PGC-1α and SIRT3 was upregulated， with increased protein levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， while FIS1 protein expression levels were significantly reduced （P<0.05， P<0.01）. Across the KXS-treated groups， the granule group showed a higher spontaneous alternation rate than the decoction and powder groups （P<0.05）. ConclusionKXS decoction， powders， and granules can improve the learning and memory ability of rats， with granules being the most effective. The mechanism of action may involve activation of the AMPK/PGC-1α/SIRT3 signaling pathway， improvement of the mitochondrial function， and subsequent amelioration of the brain energy metabolism disorders.

Malignant tumors(commonly referred to as cancer)represent a major global public health challenge and contribute significantly to the worldwide disease burden.Early screening plays a critical role in improving detection rates,enabling timely intervention,and enhancing pa-tient survival rates.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifical-ly rational,multi-cancer screening approach offers several advantages:it optimizes the use of bio-logical samples,reduces time costs for participants,enhances the efficiency and comprehensive-ness of screening,and minimizes overall expenses.Such an approach also facilitates the rational allocation of healthcare resources,ultimately helping to reduce the societal burden of cancer.To address this need,the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China.This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and interna-tional researches on cancer screening,early detection,and treatment for prevalent malignancies.Drawing upon China's unique demographic and healthcare context,as well as practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the principles and methodologies established by the World Health Organization(WHO),aiming to:enhance the effectiveness of combined cancer screening in China,improve early detec-tion rates,and provide a scientific foundation for national cancer prevention and control strategies.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.

Multibody dynamics simulation of the musculoskeletal system is an essential tool for analyzing the biomechanical mechanisms underlying human motion.Recent research trends have shifted from traditional physics-based models toward data-driven or data-physics hybrid frameworks.This review presents the latest developments in these areas.Physics-based multibody dynamics simulations have undergone significant progress in terms of simulation fidelity,optimization algorithms,and software tools.However,their practical implementation remains constrained by the need for complex experimental data and the computational expense of solving differential equations.Conversely,data-driven method bolstered by advancements in deep learning have demonstrated remarkable efficiency in predicting joint angles,postures,ground reaction forces,joint torques,and muscle forces,as well as developing control algorithms for exoskeletons.However,despite these advantages,data-driven approaches face challenges such as limited generalizability and potential violation of biomechanical principles.To address these limitations,data-physics hybrid approaches(e.g.,physics-informed neural network,PINN)which integrate physical constraints(e.g.,Newton-Euler equations,muscle constitutive laws)with data-driven architectures have been developed.This synergy enhances prediction accuracy while preserving the biological plausibility of solutions.Nevertheless,critical challenges persist,including the integration of multi-scale physical equations and the modeling of multi-joint coordination dynamics.Future research should prioritize:optimizing hybrid model architectures to balance computational efficiency and mechanistic accuracy,incorporating markerless motion capture techniques to improve real-world applicability,exploiting multi-scale physics and personalized parameter inversion to advance precision rehabilitation and motion analysis.These efforts will foster innovations in intelligent rehabilitation systems,clinical motion assessment,and related translational fields.