OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

OBJECTIVE: To investigate the common mechanisms among collagen-induced arthritis (CIA), bleomycin (BLM)-induced pulmonary fibrosis, and CIA+BLM to evaluate the therapeutic effect of triptolide (TP) on CIA+BLM. METHODS: Thirty-six male Sprague-Dawley rats were randomly assigned to 6 groups according to a random number table (n=6 per group): normal control (NC), CIA, BLM, combined CIA+BLM model, TP low-dose (TP-L, 0.0931 mg/kg), and TP high-dose (TP-H, 0.1862 mg/kg) groups. The CIA model was induced by intradermal injection at the base of the tail with emulsion of bovine type II collagen and incomplete Freund's adjuvant (1:1), with 200 µL administered on day 0 and a booster of 100 µL on day 7. Pulmonary fibrosis was induced via a single intratracheal injection of BLM (5 mg/kg). The CIA+BLM model combined both protocols, and TP was administered orally from day 14 to 35. After successful modeling, arthritis scores were recorded every 3 days, and pulmonary function was assessed once at the end of the treatment period. Lung tissues were collected for histological analysis (hematoxylin eosin and Masson staining), immunohistochemistry, measurement of hydroxyproline (HYP) content, and calculation of lung coefficient. In addition, HE staining was performed on the ankle joint. Total RNA was extracted from lung tissues for transcriptomic analysis. Differentially expressed genes (DEGs) were compared with those from the RA-associated interstitial lung diseases patient dataset GSE199152 to identify overlapping genes, which were then used to construct a protein-protein interaction network. Hub genes were identified using multiple topological algorithms. RESULTS: The successfully established CIA+BLM rat model exhibited significantly increased arthritis scores and severe pulmonary fibrosis (P<0.01). By intersecting the DEGs obtained from transcriptomic analysis of lung tissues in CIA, BLM, and CIA+BLM rats with DEGs from rheumatoid arthritis-interstitial lung disease patients (GSE199152 dataset), 50 upregulated and 44 downregulated genes were identified. Through integrated PPI network analysis using multiple topological algorithms, IGF1 was identified as a central hub gene. TP intervention significantly improved pulmonary function by increasing peak inspiratory flow (P<0.01), and reduced lung index and HYP content (P<0.01). Histopathological analysis showed that TP alleviated alveolar collapse, interstitial thickening, and collagen deposition in the lung tissues (P<0.01). Moreover, TP treatment reduced the expression of collagen type I and α-SMA and increased E-cadherin levels (P<0.01). TP also significantly reduced arthritis scores and ameliorated synovial inflammation (P<0.05). Both transcriptomic and immunohistochemical analyses confirmed that IGF1 expression was elevated in the CIA+BLM group and downregulated following TP treatment (P<0.05). CONCLUSION TP exerts protective effects in the CIA+BLM model by alleviating arthritis and pulmonary fibrosis through the inhibition of IGF1-mediated EMT.
Animals ; Pulmonary Fibrosis/complications* ; Bleomycin/adverse effects* ; Phenanthrenes/pharmacology* ; Male ; Rats, Sprague-Dawley ; Diterpenes/pharmacology* ; Epoxy Compounds/therapeutic use* ; Arthritis, Experimental/complications* ; Insulin-Like Growth Factor I/metabolism* ; Rats ; Lung/physiopathology*

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective To analyze the efficacy of CT-guided alcohol ablation of splanchnic nerve block(SNB)in the treatment of pain in patients with pancreatic cancer,and to discuss the related factors influencing the effectiveness in treating pancreatic cancer pain.Methods The clinical data of patients with pancreatic cancer pain,who was unable to receive surgery and underwent CT-guided SNB at Hai'an People's Hospital from June 2018 to September 2023,were retrospectively analyzed.According to postoperative one-month VAS pain score and the used dosage of opioids,the improvement of pain was assessed.Logistic regression analysis was used to evaluate the demographic characteristics,tumor features,and pain-related factors so as to determine the predictive factors for effective analgesia after SNB,and the survival outcomes were compared between the patients with effective SNB analgesia and the patients with ineffective SNB analgesia.Results A total of 133 patients were included in this analysis.One week after SNB,74.4％of patients achieved effective pain relief,and one month after the procedure,54.9％of patients experienced effective pain relief.One month after treatment,multivariate logistic regression analysis showed that the diabetes(OR=0.637,95％CI=0.397-0.876,P=0.034),serum CA199(OR=1.531,95％CI=1.030-2.370,P=0.042),serum MMP-1(OR=0.703,95％CI=0.457-0.983,P=0.038),preoperative ECOG score(OR=2.693,95％CI=1.234-6.609,P=0.021),and preoperative daily morphine consumption(OR=2.797,95％CI=1.148-6.695,P=0.019)were the independent predictive factors for achieving a good analgesic efficacy after SNB.Patients with poor analgesic outcomes after SNB had a significantly lower median survival time when compared to patients with good analgesic outcomes(82 days vs 149 days,P＜0.05).No serious SNB-related adverse events occurred.Conclusion For the treatment of refractory pancreatic cancer pain,CT-guided SNB is clinically safe and effective.The diabetes,ECOG score,serum MMP-1 level,CA199 level,and preoperative daily used dosage of opioids are the independent predictive factors for the efficacy of CT-guided SNB in treating pancreatic cancer pain.

Objective To explore medical institution-led exercise training interventions,prelimina-ry preventive measures,and comprehensive health service strategies for elderly adults.Methods Sixty elderly adults from communities under the jurisdiction of primary hospitals who voluntarily participated in the training and met the inclusion criteria were divided into 75 to 79 years old group and 80 to 84 years old group.Elastic bands exercise were selected as the method for physical training for elderly community members.A total of three sets(9 items)of exercise,including upper and lower limb mus-cle strength exercises and balance as well as coordination training,were designed.The training period lasted for 12 weeks,with each session lasting 1 hour,three times a week.The medical team partici-pated in training supervision and follow-up evaluations throughout the process,dynamically adjusting the training intensity based on individual needs.Results Comprehensive safety and support meas-ures significantly improved training participation and completion rates.No sports injuries or adverse events occurred throughout the process,and all participants completed the training plan.After train-ing,statistically significant differences were observed in grip strength,five-times sit-to-stand test duration,Berg Balance Scale(BBS)scores,and Timed Up and Go(TUG)test results(P＜0.05),indicating effective physical fitness improvement.Conclusion Elastic band exercises are a suitable mode for physical improvement training among elderly adults,significantly enhancing muscle strength in the limbs and trunk and improving balance function.The positive communication and in-teraction in group activities significantly boost elderly adults'confidence in healthy living,leading to notable improvements in their mental state.

AIM To investigate the effect of Fuzheng Hefu Zhiyang Formula(FZHFZY)on psoriasis-like skin lesions and immune regulation in mice.METHODS In the in vivo experiment,30 BALB/c mice were randomly divided into the blank group,the model group,the dexamethasone group(1.5 g/kg of compound dexamethasone acetate cream),and the low-dose(2.5 g/kg)and high-dose(5 g/kg)FZHFZY groups,with six mice in each group.The experiment groups were treated with respective FZHFZY and dexamethasone,and the other groups were given normal saline for 10 consecutive days,during which psoriatic skin lesions were induced with imiquimod cream for 7 consecutive days.The mice had their area and severity of psoriasis assessed by PASI score;their histological changes of skin lesions.observed with Hematoxylin-eosin(HE)staining;their F4/80 ratio of skin lesions observed with immunohistochemical(IHC)staining;their protein expressions of P38,p-P38,Erk,p-Erk,P65 and p-P65 detected by Western blot;and their mRNA expressions of tumor necrosis factor-α(TNF-α),IL-17,IL-23 and IL-1β detected by RT-qPCR.In the in vitro research,the cultured RAW264.7 cells were divided into the blank group,the LPS group,and the FZHFZY groups(1 200,600,300,150 μg/mL).The cells had their protein expressions of P38,p-P38,Erk,p-Erk,P65 and p-P65 detected with Western blot;and their mRNA expressions of IL-6,TNF-α,IL-23 and IL-8 detected by RT-qPCR.RESULTS The in vivo experiment showed that compared to the model group,the FZHFZY groups demonstrated decreased PASI score(P＜0.01);improved epidermal thickening and parakeratosis of skin lesions as revealed by HE staining result and increased expression of F4/80 in IHC staining sections;decreased protein expression ratios of p-P38/P38,p-ERK/Erk and p-P65/P65 in skin(P＜0.05,P＜0.01);and reduced mRNA expressions of TNF-α,IL-17,IL-23 and IL-1β in the skin(P＜0.01).FZHFZY(0～2 400 μg/mL)showed no significant cytotoxicity towards RAW264.7 cells in vitro(P＞0.05).Compared to those of the LPS group,the cells exposed to FZHFZ at concentrations of 1 200 and 600 μg/mL demonstrated decreased protein expression ratios of p-P38/P38,p-ERK/Erk,and p-P65/P65(P＜0.05,P＜0.01);and significantly decreased mRNA expressions of TNF-α,IL-17,IL-23 and IL-1β(P＜0.01).CONCLUSION FZHFZY alleviates imiquimod-induced psoriatic lesions in mice and suppresses inflammatory response in LPS-stimulated RAW264.7 cells by inhibiting P38/Erk/NF-κB signaling pathway.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To investigate the clinical phenotype and genotype features of children with Epileptic encephalopathy caused by PCDH19 variant. Methods:Four children with epilepsy caused by PCDH19 gene variant who were treated at Shanghai Children′s Medical Center from August 2015 to May 2024 were selected as study subjects. A retrospective study method was used to collect the clinical data of the patients. Peripheral venous blood samples (2 mL each) were collected from the patients and their parents. Genomic DNA was extracted, and whole exome sequencing (WES) was performed, followed by family verification of candidate variants by Sanger sequencing. Pathogenicity of the candidate variants was classified according to the " Genetic Variation Classification Standards and Guidelines" established by the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Shanghai Children′s Medical Center (Approval No. SCMCIRB-K2020060-1). Results:The patients comprised of 3 females and 1 male, all presenting symptoms before the age of 3. Patients 1-3 exhibited generalized tonic-clonic seizures, while patient 4 manifested focal seizures accompanied by impaired consciousness. In addition to epilepsy, patient 2 showed language delay and patient 3 had frequent panic attacks. WES results identified four pathogenic PCDH19 variants in these patients, including 2 previously unreported frameshifting mutations, 1 hotspot missense mutation, and 1 mosaic missense mutation with a 32.4%mutation rate. The pathogenic variant in patient 2 was inherited from her father, while the remaining 3 patients had de novo pathogenic variant. Conclusion:Children with PCDH19 gene mutations may exhibit early-onset refractory epilepsy, cognitive impairment, and developmental delay. Females are predominantly affected by the PCDH19 variant, although males with mosaic variant can also be affected. The genetic and clinical heterogeneity observed among patients 1-4 indicated the diverse nature of epilepsy related to the PCDH19 gene variant. PCDH19 gene variant may be the genetic cause of epilepsy in these affected children, which also enriched the mutational spectrum of the PCDH19 gene.