Objective A scoping review of domestically and internationally published studies on finite element analysis(FEA)based on three-dimensional(3D)human body model in preventing pressure ulcer(PU)was conducted,aiming to provide new directions for improving the prevention strategies of pressure ulcer.Methods We conducted a systematic search in both Chinese and English medical databases,including PubMed,Embase,CINAHL,Web of Science,Cochrane Library,Sinomed,CNKI,Wanfang and VIP,and engineering database(Engineering Village Compen-dex).The search period was from the inception of each database to July 29,2024.The information was extracted,and the results were analyzed and standardized for reporting.Results A total of 30 studies were included.The general methods of FEA based on 3D human body model include establishing geometric model,meshing,defining material properties,loading and setting boundary conditions,and solving equations.According to the contents of studies,they could be categorized into 4 distinct application domains,including identification of risk groups(n=9),position management(n=9),preventive dressings(n=10)and supportive surfaces(n=7).Conclusion FEA based on 3D human body model provides a foundation to PU biomechanical mechanism research and a scientific basis to the supplement and optimization of clinical prevention.Future studies should integrate clinical problems with simulations and further optimize simulations techniques and protocols.

Menstrual migraine is a specific subtype of migraine unique to women,closely related to the menstrual cycle,characterized by periodic and intractable headaches,often accompanied by nausea,vomiting or photophobia and phonophobia,which seriously affects life and has a high degree of disability.Its pathogenesis is complex,involving multi-dimensional regulation such as estrogen fluctuations,neurovascular responses and genetic and environmental factors,but the specific mechanism has not been fully clarified.In recent years,with the increasing social attention to women's health,the clinical research demand for menstrual migraine has become increasingly urgent.Currently,modern medicine can alleviate symptoms through acute drug intervention(such as non-steroidal anti-inflammatory drugs,triptans)and preventive treatment(such as beta-blockers,CGRP antagonists),but there are problems such as drug dependence and insufficient individualization.Traditional Chinese medicine,based on the"holistic concept"and"syndrome differentiation and treatment"theory,regulates the balance of qi,blood,yin and yang through therapies such as traditional Chinese medicine and acupuncture,showing unique advantages in improving symptoms and preventing recurrence.The combination of traditional Chinese and Western medicine can optimize the therapeutic effect and reduce side effects through synergistic effects,but the full-cycle prevention and treatment strategy still needs further exploration.This article systematically reviews the pathogenesis and research progress of treatment of menstrual migraine in traditional Chinese and Western medicine,emphasizes the interaction between hormone fluctuations and neurovascular responses,and proposes an individualized intervention plan based on the menstrual cycle,providing new ideas for clinical practice and reference directions for future research.

Aim To verify the therapeutic effect of the Qushi Huoxue decoction(QSHXF)on a mouse model of non-alcoholic fatty liver disease(NAFLD)using network pharmacology and experimental approaches,to examine the changes in the PI3K-AKT-lipid metabo-lism signaling pathway,and to elucidate its molecular mechanisms.Methods The potential active ingredi-ents and targets of the QSHXF were identified using the TCMSP platform.NAFLD-related genes were sourced from the GeneCards,PharmGkb,TTD,and OMIM data-bases.The intersection of drug targets and NAFLD treatment targets was analyzed to identify the key tar-gets of the QSHXF in treating NAFLD.The STRING database and Cytoscape 3.9.1 software were utilized to construct networks linking traditional Chinese medicine active ingredients to disease targets and PPI networks,allowing for the screening of key active ingredients and core targets.GO and KEGG enrichment analyses of the intersecting targets were conducted using R version 4.2.2.The NAFLD model was established by feeding mice a methionine-choline deficient diet for a duration of five weeks.Following successful modeling,low,me-dium,and high doses of the QSHXF were administered for intervention over a period of six weeks.The efficacy was verified and the underlying mechanisms were ex-plored using methods such as HE staining,Oil Red O staining,and Western blot analysis.Results The net-work pharmacology prediction indicated that QSHXF might effectively treat NAFLD through key components such as quercetin and kaempferol,as well as core tar-gets including STAT3,AKT1,and HIF1A.KEGG en-richment analysis further suggested that QSHXF might exert its therapeutic effects on NAFLD via signaling pathways such as AGE-RAGE and PI3K-AKT.Verifi-cation through animal experiments demonstrated that QSHXF could significantly reduce hepatic steatosis and lipid droplet accumulation in NAFLD mice.Specifical-ly,it markedly decreased serum levels of TC,TG,ALT,AST,and LDL,while increasing HDL levels.Addition-ally,the treatment significantly reduced the protein ex-pression levels of p-PI3K,p-AKT,SREBP-1c,FASN,and ACC1 in the liver.Conclusions QSHXF can sig-nificantly enhance liver function,improve blood lipid levels,and alleviate hepatic steatosis in NAFLD mice,with its mechanism potentially linked to the inhibition of the PI3K-AKT-lipid metabolism signaling pathway.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To investigate the differences in electroencephalographic (EEG) microstate characteristics between children with autism spectrum disorder (ASD) and typically developing (TD) children, and to explore the correlation between irritability and EEG microstate features in ASD children.Methods:A total of 104 children with ASD [ASD group, 83 boys, 21 girls; aged 4-13 years, mean age (9.47±1.74)years] from the Autism Cohort of Nanjing Medical University and 60 TD children [TD group; 50 boys, 10 girls; aged 5-13 years, mean age(9.86±1.78) years ]from the IEEE Dataport database were enrolled. Irritability severity was assessed using the Affective Reactivity Index-Parent (ARI-P). Resting-state EEG data with eyes closed were recorded using a 24-channel dry-electrode EEG cap. Group-level EEG microstate topographic maps and microstate parameters, including mean duration, frequency, and time coverage, were extracted and compared between groups using nonparametric tests. In the ASD group, Spearman correlation analysis was used to examine the associations between microstate features and ARI-P in ASD children. Multiple linear regression was used to identify predictors of irritability.Results:Four group-level microstates (A, B, C, D) were identified in both groups. Compared to TD children, ASD children exhibited significantly longer mean duration for all microstates, in microstates A[ M(Q1, Q3)]: 0.060 (0.054,0.070) vs 0.091 (0.0530, 0.155) s, microstate B: 0.059 (0.050, 0.066) vs 0.087 (0.057,0.149) s, microstate C: 0.059 (0.050, 0.066) vs 0.095 (0.056, 0.183) s and microstate D: 0.055 (0.049,0.075) vs 0.095 (0.053,0.162) s ( Z=-3.51, -4.89, -4.71, -4.21; all P<0.001); However, microstate occurrence frequencies were significantly lower in the ASD group: A: 5.423 (3.640,21.024) vs 1.834 (1.327,3.395) Hz, microstate B: 4.949 (3.439,20.038) vs 2.146 (1.314,3.834) Hz, microstate C: 5.888 (3.998,22.078) vs 2.234 (1.441,3.768) Hz and microstate D: 5.371 (3.170,15.208) vs 2.074 (1.147,3.582) Hz ( Z=-7.72, -6.41, -7.85, -6.60; all P<0.001). In the ASD group, ARI-P scores were positively correlated with the mean duration of microstates B, C, and D ( r=0.28, 0.26, 0.33; all P<0.05) and negatively correlated with the occurrence frequency of microstates A, C, and D ( r=-0.26, -0.27, -0.21; all P<0.05). Multiple linear regression analysis revealed that the mean duration of microstate B was a significant predictor of irritability severity ( β=0.436, 95% CI: 1.260-4.202, P<0.001). Conclusion:Resting-state EEG microstate characteristics in Children with ASD differ from those in TD children and are associated with the severity of irritability. Prolonged duration of microstate B may serve as a risk factor for increased irritability in children with ASD.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Aim To investigate the effect of exosomes derived from bone marrod-derived mesenchymal stem cells(BMSCs)on dexamethasone-induced C2C12 muscular canal atrophy.Methods(1)C57BL/6J mouse bone marrow mesenchymal stem cells were isola-ted and cultured by whole bone marrow adhesion meth-od.(2)Extraction and identification of BMSCs EXOs were performed.(3)Myogenic differentiation of C2C12 cells was carried out.(4)The successfully differentia-ted myotubes were divided into the control group(cul-tured in 2％equine serum medium for 48 h),dexam-ethasone group(dexamethasone,DEX,10 μmol·L-1 concentration of DEX interfered with myotubes for 48 h),and exosomes group(exosomes,EXOs,interfered with myotubes for 48 h),exosome inhibitor group(exo-somes extracted from BMSCs after 10 μm GW4869 in-tervention,interfered with myotubes for 48 h).48 h later,the morphology and diameter of muscle tubes were observed and measured by microscope.Cell via-bility of each group was detected by CCK-8 method.The expression levels of atrogin-1 and MuRF-1,myo-genic differentiation antigen(MYOD)in each group were detected by Western blot.Results BMSCs were long spusiform,and BMSCS-EXOS showed a circular bilayer structure under transmission electron microsco-py,with a diameter of about 200 nm.CD9,CD63 and CD81 were highly expressed.Compared with the con-trol group,cell activity in DEX group decreased(P＜0.01),diameter of myotubes decreased(P＜0.01),expressions of atrogin-1(P＜0.05)and MuRF-1(P＜0.01)were significantly up-regulated,and expression of MYOD(P＜0.01)was significantly down-regula-ted.Compared with the DEX group,cell activity in the BMSCs-EXOs group increased(P＜0.01),diameter of myotubes increased(P＜0.01),expressions of atrogin-1(P＜0.05)and MuRF-1(P＜0.01)were signifi-cantly down-regulated,and expression of MYOD(P＜0.01)was up-regulated.Compared with the BMSCs-EXOs group,cell activity of the BMSCs-EXOs(GW4869)group decreased(P＜0.05),diameter of myotubes decreased(P＜0.01),expressions of atrog-in-1(P＜0.05)and MuRF-1(P＜0.05)were up-regulated,and expression of MYOD(P＜0.01)was down-regulated.Conclusion Bone marrow mesen-chymal stem cell-derived exosomes(BM-MSCs-EXOs)inhibit dexamethasone-induced C2C12 muscle tube at-rophy.

Menstrual migraine is a specific subtype of migraine unique to women,closely related to the menstrual cycle,characterized by periodic and intractable headaches,often accompanied by nausea,vomiting or photophobia and phonophobia,which seriously affects life and has a high degree of disability.Its pathogenesis is complex,involving multi-dimensional regulation such as estrogen fluctuations,neurovascular responses and genetic and environmental factors,but the specific mechanism has not been fully clarified.In recent years,with the increasing social attention to women's health,the clinical research demand for menstrual migraine has become increasingly urgent.Currently,modern medicine can alleviate symptoms through acute drug intervention(such as non-steroidal anti-inflammatory drugs,triptans)and preventive treatment(such as beta-blockers,CGRP antagonists),but there are problems such as drug dependence and insufficient individualization.Traditional Chinese medicine,based on the"holistic concept"and"syndrome differentiation and treatment"theory,regulates the balance of qi,blood,yin and yang through therapies such as traditional Chinese medicine and acupuncture,showing unique advantages in improving symptoms and preventing recurrence.The combination of traditional Chinese and Western medicine can optimize the therapeutic effect and reduce side effects through synergistic effects,but the full-cycle prevention and treatment strategy still needs further exploration.This article systematically reviews the pathogenesis and research progress of treatment of menstrual migraine in traditional Chinese and Western medicine,emphasizes the interaction between hormone fluctuations and neurovascular responses,and proposes an individualized intervention plan based on the menstrual cycle,providing new ideas for clinical practice and reference directions for future research.

Objective:To explore the advantages of internet-based smart healthcare for full-cycle transcatheter edge-to-edge repair (TEER) management in reducing postoperative adverse events rate, improving cardiac function, and enhancing quality of life.Methods:This retrospective study enrolled patients with mitral regurgitation who underwent transcatheter TEER at Beijing Anzhen Hospital Valve Intervention Center between June 2021 and September 2023. Patients were classified into degeneration mitral regurgitation (DMR) and functional mitral regurgitation (FMR) according to etiology, with further stratification by enrollment period into usual care group (June 2021 to October 2022) and full-cycle management group (November 2022 to September 2023). The 1-year postoperative follow-up data were collected and compared between subgroups with the same etiology. Kaplan-Meier survival curves were plotted, and log-rank tests were used to compare the differences in major endpoint event-free survival rates between the two groups. Univariate and multivariate Cox regression and logistic regression analyses were performed to evaluate the impact of the full-cycle management system on patients′ outcomes.Results:A total of 130 patients were included, aged (72.0±8.6) years, including 82 (63%) males. DMR was identified in 84 cases (40 in the usual care group and 44 in the full-cycle management group), while FMR was observed in 46 cases (27 in the usual care group and 19 in the full-cycle management group). Kaplan-Meier analysis demonstrated higher 1-year major endpoint event-free survival rates in the full-cycle management group compared to the usual care group, though the difference was not statistically significant (log-rank P>0.05). Compared to the usual care group, the full-cycle management group showed significantly higher proportions of New York Heart Association classification Ⅰ-Ⅱ patients (DMR: 67% vs. 52%, P=0.031; FMR: 68% vs. 52%, P=0.021), greater 6-minute walking distances (DMR: (346.39±70.41) m vs. (294.11±60.47) m, P=0.012; FMR: (356.60±54.68) m vs. (318.55±39.02) m, P=0.004), and superior Kansas City Cardiomyopathy Questionnaire scores (DMR: 81.50 (74.50, 85.00) points vs. 71.00 (66.00, 82.25) points, P=0.014; FMR: 83.00 (76.00, 85.00) points vs. 74.00 (70.75, 80.00) points, P=0.030). Multivariate logistic regression confirmed the full-cycle management system as an independent predictor for the above improved outcomes (all P<0.05). Conclusion:Smart healthcare-based full-cycle management improves cardiac function and quality of life in mitral regurgitation patients after TEER, demonstrating lower rates of major endpoint events compared to usual care.

Aim To verify the therapeutic effect of the Qushi Huoxue decoction(QSHXF)on a mouse model of non-alcoholic fatty liver disease(NAFLD)using network pharmacology and experimental approaches,to examine the changes in the PI3K-AKT-lipid metabo-lism signaling pathway,and to elucidate its molecular mechanisms.Methods The potential active ingredi-ents and targets of the QSHXF were identified using the TCMSP platform.NAFLD-related genes were sourced from the GeneCards,PharmGkb,TTD,and OMIM data-bases.The intersection of drug targets and NAFLD treatment targets was analyzed to identify the key tar-gets of the QSHXF in treating NAFLD.The STRING database and Cytoscape 3.9.1 software were utilized to construct networks linking traditional Chinese medicine active ingredients to disease targets and PPI networks,allowing for the screening of key active ingredients and core targets.GO and KEGG enrichment analyses of the intersecting targets were conducted using R version 4.2.2.The NAFLD model was established by feeding mice a methionine-choline deficient diet for a duration of five weeks.Following successful modeling,low,me-dium,and high doses of the QSHXF were administered for intervention over a period of six weeks.The efficacy was verified and the underlying mechanisms were ex-plored using methods such as HE staining,Oil Red O staining,and Western blot analysis.Results The net-work pharmacology prediction indicated that QSHXF might effectively treat NAFLD through key components such as quercetin and kaempferol,as well as core tar-gets including STAT3,AKT1,and HIF1A.KEGG en-richment analysis further suggested that QSHXF might exert its therapeutic effects on NAFLD via signaling pathways such as AGE-RAGE and PI3K-AKT.Verifi-cation through animal experiments demonstrated that QSHXF could significantly reduce hepatic steatosis and lipid droplet accumulation in NAFLD mice.Specifical-ly,it markedly decreased serum levels of TC,TG,ALT,AST,and LDL,while increasing HDL levels.Addition-ally,the treatment significantly reduced the protein ex-pression levels of p-PI3K,p-AKT,SREBP-1c,FASN,and ACC1 in the liver.Conclusions QSHXF can sig-nificantly enhance liver function,improve blood lipid levels,and alleviate hepatic steatosis in NAFLD mice,with its mechanism potentially linked to the inhibition of the PI3K-AKT-lipid metabolism signaling pathway.