Cardiovascular diseases （CVD），a group of common diseases in clinical practice，are witnessing a steady rise in both incidence and mortality rates，posing a challenge to public health. Gualou Xiebai Banxiatang，originating from Synopsis of the Golden Chamber （《金匮要略》），was initially used to treat severe cases of chest impediment. The formula consists of Trichosanthis Fructus，Allii Macrostemonis Bulbus，Pinelliae Rhizoma，and Baijiu. It has a wide range of clinical applications，with therapeutic effects including moving Qi to relieve depression，activating Yang to dissipate mass，and expelling phlegm to alleviate chest congestion. In recent years，clinical research has confirmed that Gualou Xiebai Banxiatang，with or without modification，used alone or in combination with Western medicine，has definite effects in the treatment of CVD such as hyperlipidemia，coronary atherosclerotic heart disease，hypertension，heart failure，and arrhythmia. It can alleviate disease symptoms and reduce the risk of re-hospitalization. Basic research indicates that the mechanisms of Gualou Xiebai Banxiatang include improving endothelial functions，exhibiting anti-inflammatory properties，countering oxidative stress，preventing apoptosis，inhibiting ventricular remodeling，regulating mitochondrial functions，improving hemorheology，and modulating autophagy and neurotransmitters. This article reviews relevant articles in recent years with focuses on the compatibility，clinical application，and mechanism of Gualou Xiebai Banxiatang. This review is expected to provide a theoretical basis for the mechanism research and clinical application of this formula in treating CVD and to offer ideas and reference for in-depth research.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis

To solve the safety problems caused by the restriction of interaction space and the singular configuration of rehabilitation robot in terminal traction upper limb rehabilitation training, a trajectory planning and tracking control scheme for rehabilitation training is proposed. The human-robot safe interaction space was obtained based on kinematics modeling and rehabilitation theory, and the training trajectory was planned based on the occupational therapy in rehabilitation medicine. The singular configuration of the rehabilitation robot in the interaction space was avoided by exponential adaptive damped least square method. Then, a nonlinear controller for the upper limb rehabilitation robot was designed based on the backstepping control method. Radial basis function neural network was used to approximate the robot model information online to achieve model-free control. The stability of the controller was proved by Lyapunov stability theory. Experimental results demonstrate the effectiveness and superiority of the proposed singular avoidance control scheme.
Humans ; Upper Extremity ; Robotics/methods* ; Biomechanical Phenomena ; Neural Networks, Computer ; Traction/methods* ; Algorithms

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

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.

Over the past three decades， China has made significant progress in the prevention and control of viral hepatitis， and the incidence rates of new-onset pediatric hepatitis B virus infections and acute viral hepatitis in the population have reduced to a relatively low level； however， there is still a heavy disease burden of chronic viral hepatitis in China， which severely affects the health status of the population. This study systematically summarizes the achievements of viral hepatitis prevention and control in China， analyzes existing problems and challenges， and proposes comprehensive prevention and control strategies and measures to eliminate viral hepatitis as a public health threat based on the national conditions of China， in order to provide a reference for related departments in China on how to achieve the action targets for eliminating viral hepatitis as a public health threat by 2030.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

ObjectiveNeuroinflammation plays a crucial role in both the onset and progression of ischemic stroke, exerting a significant impact on the recovery of the central nervous system. Excessive neuroinflammation can lead to secondary neuronal damage, further exacerbating brain injury and impairing functional recovery. As a result, effectively modulating and reducing neuroinflammation in the brain has become a key therapeutic strategy for improving outcomes in ischemic stroke patients. Among various approaches, targeting immune regulation to control inflammation has gained increasing attention. This study aims to investigate the role of in vitro induced regulatory T cells (Treg cells) in suppressing neuroinflammation after ischemic stroke, as well as their potential therapeutic effects. By exploring the mechanisms through which Tregs exert their immunomodulatory functions, this research is expected to provide new insights into stroke treatment strategies. MethodsNaive CD4⁺ T cells were isolated from mouse spleens using a negative selection method to ensure high purity, and then they were induced in vitro to differentiate into Treg cells by adding specific cytokines. The anti-inflammatory effects and therapeutic potential of Treg cells transplantation in a mouse model of ischemic stroke was evaluated. In the middle cerebral artery occlusion (MCAO) model, after Treg cells transplantation, their ability to successfully migrate to the infarcted brain region and their impact on neuroinflammation levels were examined. To further investigate the role of Treg cells in stroke recovery, the changes in cytokine expression and their effects on immune cell interactions was analyzed. Additionally, infarct size and behavioral scores were measured to assess the neuroprotective effects of Treg cells. By integrating multiple indicators, the comprehensive evaluation of potential benefits of Treg cells in the treatment of ischemic stroke was performed. ResultsTreg cells significantly regulated the expression levels of both pro-inflammatory and anti-inflammatory cytokines in vitro and in vivo, effectively balancing the immune response and suppressing excessive inflammation. Additionally, Treg cells inhibited the activation and activity of inflammatory cells, thereby reducing neuroinflammation. In the MCAO mouse model, Treg cells were observed to accumulate in the infarcted brain region, where they significantly reduced the infarct size, demonstrating their neuroprotective effects. Furthermore, Treg cell therapy notably improved behavioral scores, suggesting its role in promoting functional recovery, and increased the survival rate of ischemic stroke mice, highlighting its potential as a promising therapeutic strategy for stroke treatment. ConclusionIn vitro induced Treg cells can effectively suppress neuroinflammation caused by ischemic stroke, demonstrating promising clinical application potential. By regulating the balance between pro-inflammatory and anti-inflammatory cytokines, Treg cells can inhibit immune responses in the nervous system, thereby reducing neuronal damage. Additionally, they can modulate the immune microenvironment, suppress the activation of inflammatory cells, and promote tissue repair. The therapeutic effects of Treg cells also include enhancing post-stroke recovery, improving behavioral outcomes, and increasing the survival rate of ischemic stroke mice. With their ability to suppress neuroinflammation, Treg cell therapy provides a novel and effective strategy for the treatment of ischemic stroke, offering broad application prospects in clinical immunotherapy and regenerative medicine.