ObjectiveZheng’s San Qi San (ZSQS) power, a classic traditional Chinese medicine (TCM) formula, is used for treating soft tissue injuries involving muscles, tendons, and ligaments. However, its underlying therapeutic mechanisms remain unclear. This study aimed to screen and identify pharmaceutically active ingredients and their candidate biomolecule targets, and further elucidate the molecular mechanism of ZSQS in the treatment of skeletal muscle injury. MethodsNetwork pharmacology was employed to construct “ZSQS-component-target”, “protein-protein interaction (PPI)” and “active ingredient-core protein-pathway” networks to predict the key active ingredients and potential core targets of ZSQS for skeletal muscle injury. The predicted results were then validated via microarray data from the GEO database. Molecular docking was then performed to assess the binding ability between the screened active ingredients of ZSQS and the candidate core targets. Moreover, liquid chromatography-mass spectrometry (LC-MS) was used for qualitative and quantitative analysis to verify the active components of the drug and ZSQS serum. Finally, an animal model of eccentric exercise-induced skeletal muscle injury and a myotube cell model of oxidative stress-induced injury were established to validate the effects of ZSQS and its interventional effects on the biological functions of critical targets, thereby demonstrating the potential therapeutic mechanism of ZSQS. ResultsAmong the 111 active components identified in ZSQS and their corresponding 204 targets related to the skeletal muscle injury repair process, 14 core targets (including AKT1) and 4 core active components (quercetin, luteolin, kaempferol, and β‑sitosterol) were screened out, while the corresponding metabolites of quercetin, luteolin and kaempferol were detected in the ZSQS serum. Among these targets, 5 candidate genes (IL-6, CASP3, HIF1A, STAT3, and JUN) overlapped with the differential expression screening results with GEO data, and IL-6 was confirmed to be enriched in the PI3K/AKT pathway. Combined with the prediction results of the AKT expression levels, these findings suggest that the phosphorylation level of AKT1 plays a core role in the therapeutic mechanism of ZSQS. Molecular docking analysis further revealed that the PH domain of AKT1 had high binding energy with all 4 core active components, as verified by LC-MS. Finally, animal model studies have shown the promoting effect of ZSQS administration on skeletal muscle injury repair and its possible antioxidant damage mechanism. Cell model studies further demonstrated that ZSQS-containing serum, core active ingredient combination therapy, and quercetin monomer could increase the phosphorylation level of AKT, promote the nuclear translocation of Nrf2, upregulate the expression of downstream antioxidant enzymes (SOD, GPx, and GR), and inhibit the expression of inflammatory factors (IL-6 and TNF-α), thereby alleviating oxidative stress and the inflammatory response. ConclusionZSQS alleviates skeletal muscle injury mainly by activating the AKT/Nrf2 signaling pathway, enhancing cellular antioxidant and anti-inflammatory capabilities. The results of this study provide a scientific basis for the clinical application and modernized development of ZSQS.

Objective To explore the role of the protein kinase R-like endoplasmic reticulum kinase(PERK)-mediated endoplasmic reticulum stress pathway in a model of lipopolysaccharide(LPS)-induced microglia inflammation.Methods To investigate its effects on endoplasmic reticulum(ER)stress,an inflammation model of microglia was established by stimulating with LPS at gradient concentrations for 24 hours and with 1 mg/L LPS for different durations.Cell viability was assessed by the CCK-8 assay;The mRNA and protein expression levels of related inflammatory factors were measured by Real-time PCR and ELISA kits.Cellular oxidative stress was evaluated by detecting reactive oxygen species(ROS),and Real-time PCR and Western blotting were used to examine the mRNA and protein expression levels of ER stress pathway markers associated with inflammation.Results 1.The effects of different concentrations of LPS on cell viability and morphology were not statistically significant after acting on BV-2 cells for 24 hours(P＞0.05);2.1 mg/L LPS incubated with BV-2 cells for different times and the cell viability decreased with the increase of time;3.Compared with the 0 hour group,the levels of pro-inflammatory cytokine interleukin(IL)-1β,tumor necrosis factor-α(TNF-α)mRNA and protein expression increased significantly(P＜0.05)in the LPS-stimulated 9 hours,12 hours,and 24 hours groups,and the inflammation model was successfully established;4.Compared with the 0 hour group,the protein and mRNA expression levels of the endoplasmic reticulum stress pathway-related indexes in the LPS-stimulated 9 hours,12 hours,and 24 hours groups increased significantly(P＜0.01),which showed the time-dependence;5.After adding the PERK inhibitor GSK2606414,the mRNA and protein expression levels of endoplasmic reticulum stress-related indicators in the PERK inhibitor group were significantly reduced compared with those in the LPS group(P＜0.05);6.The mRNA and protein expression levels of pro-inflammatory cytokines and the fluorescence intensity of ROS in the PERK inhibitor group were significantly reduced compared with those in the LPS group(P＜0.01).Conclusion Targeting PERK-mediated endoplasmic reticulum stress inhibits LPS-induced inflammatory responses in microglia.

Objective To investigate the expression of myelin transcription factor 1-like(MYT1L)during amyotrophic lateral sclerosis(ALS)progression and its association with neuronal degeneration through bioinformatics analysis combined with in vivo and in vitro experiments.Methods Bioinformatics analysis of the GSE106803 dataset from the Gene Expression Omnibus(GEO)database revealed significant down-regulation of MYT1L in spinal cords of ALS transgenic mice carrying the human superoxide dismutase 1 mutant gene(hSOD1G93A)compared to the wild-type(WT)mice.hSOD1G93A transgenic mice and their WT littermates were selected to analyze MYT1L mRNA and protein changes in spinal cord tissues at different disease stages using Real-time PCR and Western blotting.Double immunofluorescent staining was used to determine the distribution and cellular localization of MYT1L in the spinal cord of mice at the middle stage of the disease.An ALS cellular model was established using hSOD1G93A mutant NSC34 cells,with hSOD1WT NSC34 cells as controls.MYT1L expression and distribution were assessed in these cells via Real-time PCR,Western blotting,and immunofluorescent staining.Based on the GSE76220 dataset from the GEO database,differentially expressed genes(DEGs)between MYT1L high-and low-expression groups in lumbar spinal motor neurons of ALS patients were identified,followed by Gene Ontology(GO)functional enrichment analysis.MYT1L overexpression was induced in the ALS cellular model to evaluate alterations in cell viability and neurite outgrowth.Results In the GSE106803 dataset,MYT1L expression was significantly down-regulated in the spinal cord of ALS mice.Animal experiments confirmed progressive reductions in MYT1L mRNA and protein levels in spinal cord tissues of ALS mice during mid-and late-disease stages.Compared to the WT group,MYT1L expression decreased in motor neurons of the lumbar spinal cord gray matter anterior horn in ALS mice,while it increased in astrocytes.In vitro,hSOD1G93Amutant NSC34 cells exhibited significantly reduced MYT1L expression than controls,with MYT1L localized to both the cytoplasm and nucleus.DEGs between MYT1L high-and low-expression groups in lumbar spinal cord motor neurons of ALS patients(GSE76220 dataset)were enriched in synaptic-related functions through GO analysis.Overexpression of MYT1L in hSOD1G93A mutant NSC34 cells enhanced cell viability and promoted neurite outgrowth.Conclusion Aberrantly low expression of MYT1L is closely associated with ALS pathogenesis.Overexpression of MYT1L promotes neurite growth and exerts protective effects on ALS motor neurons,suggesting its therapeutic potential.

AIM To study the chemical constituents from Radix Puerariae Lobatae from Anhui province and their in vitro lipid-lowering activity.METHODS D101 macroporous resin,silica gel,MCI,and semi-preparative HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The lipid accumulation model was established by palmitic acid-induced hepatocyte AML12,and the in vitro lipid-lowering activity was evaluated.RESULTS Twenty-one compounds were isolated and identified as carboxymethyl isoferulate(1),methyl(E)feruloylglycolate(2),ariscucurbin-A(3),trans-p-coumaroygly colic acid(4),indole-3-carboxaldehyde(5),β-sitosterol(6),puerol A(7),pueroside C(8),cumoestrol(9),dihydrofurocoumarin(10),decuroside V(11),psoralen dimer(12),bergapten dimer(13),isoliquiritigenin(14),neoliquiritin(15),calycosin(16),daidzein(17),3,4,7-trihydroxyisoflavone(18),ononin(19),genistein(20),genistin(21).Compounds 1-4、7-10、13 and 17-19 significantly inhibited lipid accumulation in AML12 cells,and compound 9 inhibited PPAR-γ expression.CONCLUSION Compounds 1-6,10-13 are isolated from Pueraria genus for the first time.Compounds 1-4,7-10,13 and 17-19 have good lipid-lowering activity.

Parkinson’s disease (PD) is a common neurodegenerative disorder that significantly impacts patients’ independence and quality of life, imposing a substantial burden on both individuals and society. Although dopaminergic replacement therapies provide temporary relief from various symptoms, their long-term use often leads to motor complications, limiting overall effectiveness. In recent years, non-invasive deep brain stimulation (DBS) techniques have emerged as promising therapeutic alternatives for PD, offering a means to modulate deep brain regions with high precision without invasive procedures. These techniques include temporal interference stimulation (TIs), low-intensity transcranial focused ultrasound stimulation (LITFUS), transcranial magneto-acoustic stimulation (TMAS), non-invasive optogenetic modulation, and non-invasive magnetoelectric stimulation. They have demonstrated significant potential in alleviating various PD symptoms by modulating neural activity within specific deep brain structures affected by the disease. Among these approaches, TIs and LITFUS have received considerable attention. TIs generate low-frequency interference by applying two slightly different high-frequency electric fields, targeting specific brain areas to alleviate symptoms such as tremors and bradykinesia. LITFUS, on the other hand, uses low-intensity focused ultrasound to non-invasively stimulate deep brain structures, showing promise in improving both motor function and cognition in PD patients. The other three techniques, while still in early research stages, also hold significant promise for deep brain modulation and broader clinical applications, potentially complementing existing treatment strategies. Despite these promising findings, significant challenges remain in translating these techniques into clinical practice. The heterogeneous nature of PD, characterized by variable disease progression and individualized treatment responses, necessitates flexible protocols tailored to each patient’s unique needs. Additionally, a comprehensive understanding of the mechanisms underlying these treatments is crucial for refining protocols and maximizing their therapeutic potential. Personalized medicine approaches, such as the integration of neuroimaging and biomarkers, will be pivotal in customizing stimulation parameters to optimize efficacy. Furthermore, while early-stage clinical trials have reported improvements in certain symptoms, long-term efficacy and safety data are limited. To validate these techniques, large-scale, multi-center, randomized controlled trials are essential. Parallel advancements in device design, including the development of portable and cost-effective systems, will improve patient access and adherence to treatment protocols. Combining non-invasive DBS with other interventions, such as pharmacological treatments and physical therapy, could also provide a more comprehensive and synergistic approach to managing PD. In conclusion, non-invasive deep brain stimulation techniques represent a promising frontier in the treatment of Parkinson’s disease. While they have demonstrated considerable potential in improving symptoms and restoring neural function, further research is needed to refine protocols, validate long-term outcomes, and optimize clinical applications. With ongoing technological and scientific advancements, these methods could offer PD patients safer, more effective, and personalized treatment options, ultimately improving their quality of life and reducing the societal burden of the disease.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Objective Based on the theoretical framework of International Classification of Functioning,Disability and Health(ICF),this paper compared the classification and grading methods of disability standards in four areas in China,focusing on definition,classification,grading,coding systems and assessment tools.Methods Four disability standards including Disability Assessment and Code for Life Insurance(insurance standard),Classification of Disability Degrees for Human Body Injury(judicial standard),Grading of Disability for Work-Related Injuries and Occupational Diseases(work-related injury standard),and Classification and Grading of Dis-abilities for Persons with Disabilities(disability eligibility standard)were systematically analyzed.Each standard was reviewed to identify core elements of disability definitions,classification,and grading methods.Content analysis was used to extract and compare the definitions,classification,grading,coding systems,and assessment tools.The strengths,weaknesses,and practical limitations of each standard were analyzed using the ICF frame-work.Results There were different in disability definitions,classification and grading,coding systems,and assessment tools across the standards.In terms of definitions,the insurance standard emphasized ICF's body structure and function impairments;the judicial standard defined disability as limitations in life and work capacity due to bodily injury,covering ICF's body structure and function,activity and participation;the work-related injury standard focused on loss of labor capacity due to work-related injuries,involving body structure and function,activity and partici-pation;the disability eligibility standard refered to the ICF model,defining disability as impairments in body function and structure,and activity limitations and participation restriction.Regarding classification and grading,the insurance standard divided disabilities into eight categories based on body structure and function,with ten grades of disability severity;the judicial standard first graded disabilities into ten levels and then classified as in-jury site;the work-related injury standard divided disabilities into five categories based on clinical disciplines,grading from one to ten;the disability eligibility standard divided disabilities into seven categories,each with four grades.For coding systems and assessment tools,the insurance standard used ICF coding system,while the disability standard for persons with disabilities used a numerical coding system other from ICF,and the other standards did not use coding systems.Assessment tools varied significantly.The use of World Health Organiza-tion Disability Assessment Schedule(WHODAS 2.0)was proposed but not applying it in grading.Conclusion This study has systematically compared and analyzed four typical disability-related standards in China using the ICF framework.Personal Insurance Disability Assessment and Coding,Grading of Disability Caused by Bodily Injury,and Classification and Grading of Disabilities for Persons with Disabilities are all promulgated af-ter 2011,and adopt ICF concepts and methods to define and classify disabilities,considering body function and structure,activity and participation,and environmental factors.However,due to different purposes,their grading methods and levels vary:except for Classification and Grading of Disabilities for Persons with Disabilities,which uses a four-level grading system,the other standards use a ten-level system,primarily based on body func-tion and structure.In disability assessment,the recommended methods differ by category,showing significant variability.Due to differing classification and grading methods,disability data from various standards are lack in comparability.The international trend advocates for a unified disability standard framework based on ICF and ICD-11 to enhance the comparability and exchangeability of disability data.

Objective Utilizing the International Classification of Functioning,Disability and Health(ICF)framework and Interna-tional Classification of Diseases,the 11th Revision(ICD-11)system,alongside evidence from World Health Or-ganization(WHO)global reports and technical reports from relevant countries,this study systematically exam-ines the definitions,classifications,grading,and assessment methods for visual,hearing,speech,physical,intel-lectual,and mental(psychiatric)disabilities.Methods Employing the ICF's biopsychosocial model,classification,and coding system and ICD-11,and referencing WHO global reports and national technical reports,this study systematically investigated the definitions,classifi-cations,grading and assessment approaches for six prevalent disabilities:visual,hearing,speech,physical,intel-lectual and mental.Results The ICF and ICD-11model and classification system offered a robust framework for defining,classifying,grad-ing and assessing disabilities.Disability definitions should address body function impairments,activity limita-tions,participation restrictions and environmental factors.The definitions,classifications and grading of visual,hearing,speech,physical,intellectual and mental disabilities aligned with ICF categories for body functions and structures,activities and participation and categories of ICD-11.Standardized tools like the WHO Disability As-sessment Schedule(WHODAS 2.0)effectively measured overall activity and participation levels.Conclusion Anchored in the ICF and ICD-11 framework,disabilities are defined,classified,graded and assessed across body functions and structure,activities and participation,and environmental factors.WHODAS 2.0 serves as a universal tool for assessing activities and participation,enabling both comprehensive functional evaluations and the conversion of results from other assessment tools.By analyzing WHO global reports and technical documents in some countries within the ICF and ICD-11 classifications framework,this study highlights global advance-ments in disability definitions,classifications,grading and assessments.Variations in disability statistics stem from differing definitions,diagnostic criteria and assessments.Disability service eligibility criteria should be tai-lored to the needs of recipients and the capacity of providers.

Objective To develop a tool for assessing the needs for care services for adults with disabilities in welfare institutions,and formulate criteria for classifying care needs.Methods Based on the theory of the International Classification of Functioning,Disability and Health,the core contents of domestic and international care service assessment standards were analysed,and the first draft of the assess-ment tool was formed integrating with the current practice of welfare institutions.A total of eleven experts in the field of care services validated the first draft,and the assessment tool was revised according to the experts'opin-ions.From May to June,2024,340 adults with disabilities from Second Social Welfare Institute of Shanghai were graded to analyze the reliability and validity of the assessment tool.And then,1 046 subjects from Second Social Welfare Institute of Shanghai were graded using the assessment tool,and the scoring intervals for the five levels of care were determined using cluster analysis.Results The assessment tool included four first-level dimensions,eleven second-level dimensions,39 third-level dimen-sions and 43 indicators.The coefficients of variation of each dimension and indicator were less than 0.25 for ex-pert validation,while the average score of the importance of each indicator was above 4.63,with a full score rate more than 0.86.The overall Cronbach's α coefficient was 0.956,the test-retest reliability was 0.997,and the con-tent validity index of each indicator was 0.83 to 1.00.The exploratory factor analysis extracted four common fac-tors,with a cumulative variance contribution of 86.679%;the loading coefficients of indicators were 0.675 to 0.878,and the correlation coefficients among the dimensions were 0.325 to 0.476.Cluster analysis determined the level of institutional care needs as level 1(severe),level 2(medium-heavy),level 3(medium),level 4(light-moderate),and level 5(light).Conclusion The needs assessment tool for care services for adults with disabilities in welfare institutions developed in this study is good in reliability and validity,and can be used in guiding the care services provided for people with disabilities more efficient and targeted.