Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To investigate the active ingredients and targets of Compound Gastritis Mixture(CGM)in the treatment of chronic atrophic gastritis(CAG)by network pharmacology method,and to validate the potential mechanism combined with molecular docking technology and cellular experiments.Methods:The Traditional Chinese Medicine System Analysis Platform(TCMSP)and Swiss Target Prediction databases were used to select the herbal ingredients of CGM and the corresponding targets;the GeneCards and Online Mendelian Inheritance in Man(OMIM)database were used to screen the targets of CAG;the common targets of CGM and CAG were analyzed from the Venny2.1.0 platform;STRING online platform was used to construct protein-protein interaction(PPI)networks for common drug-disease targets and screen the core targets.Cytoscape 3.9.1 software was used to construct the drug-disease-target network and screen the drug core components;Gene Ontology(GO)fuctional,Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were used to analyze the common targets of CGM and CAG;and AutoDock analysis software was used to perform molecular docking analysis of predicted main components of the drugs and core targets.The gastric mucosal epithelial cells GES-1 were induced by lipopolysaccharide(LPS)to construct CAG cell model.The GES-1 cells were divided into blank group(10%serum complete medium),model group(10 mg·L-1 LPS),and different concentrations of CGM groups(50,100,200,400,800 and 1 600 g·L-1 CGM+10 mg·L-1 LPS),and cells were incubated for 12,24,and 48 h.The cell counting kit-8(CCK-8)assay was used to detect the proliferation activities of GES-1 cells.The GES-1 cells were divided into blank group(10%serum complete medium),model group(10 mg·L-1 LPS)and CGM group(1 600 g·L-1 CGM+10 mg·L-1 LPS).Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of interleukin(IL)-6,tumor necrosis factor(TNF),serine/threonine protein kinase 1(AKT1),IL-1β,and epidermal growth factor receptor(EGFR)mRNA in the cells in various groups.Results:A total of 198 ingredients of CGM were screened,and 128 common targets with CAG were identified.The main herbal ingredients of CGM in treatment of CAG were quercetin,kaempferol,and lluteolin,which mainly acted on the core targets of IL-6,TNF,AKT1,IL-1β,and EGFR.The GO function enrichment analysis results showed that the top 15 targets mainly focused on biological processes(BP)such as apoptosis,inflammatory response and cell proliferation,mainly included cellular components(CC)such as cytoplasm,cell surface and macromolecular complexes,and mainly exerted molecular functions(MF)such as proteins,enzymes and ubiquitin-protein ligases.A total of 158 pathways were obtained from KEGG signaling pathway enrichment analysis,mainly involved cancer-related pathways,TNF signaling pathways,viral infection,programmed cell death-ligand 1(PD-L1)/programmed cell death protein-1(PD-1)pathways,apoptosis,NOD-like receptor signaling pathways,Toll-like receptor signaling pathways,EGFR,and IL-17 signaling pathways.The binding energies of the core targets IL-6,TNF,IL-1β,AKT1,and EGFR with main herbal ingredients quercetin,kaempferol,and luteolin were<-5 kcal·mol-1.The CCK-8 assay results showed that compared with blank group,after 24 and 48 h of cell culture,the proliferation activities of the cells in model group were significantly decreased(P<0.01),and the inhibition of the proliferation activity was more obvious after 48 h;therefore,48 h was selected for the modeling time;compared with model group,the proliferation activities of cells in 800 and 1 600g·L-1 GCM groups were significantly decreased(P<0.01),and the promotion of cell proliferation activity was more obvious in 1 600g·L-1 GCM group,so the intervening concentration of this drug was selected for the subsequent experiments.The RT-qPCR method results showed that compared with blank group,the expression levels of IL-6,TNF,IL-1β,AKT1,and EGFR mRNA in the cells in model group were significantly increased(P<0.01);compared with model group,the expression levels of IL-6,IL-1β,AKT1 and EGFR mRNA in the cells in CGM group were significantly decreased(P<0.01).Conclusion:CGM may play a role in the prevention and treatment of CAG through multiple ingredients such as quercetin,kaempferol and lignocerol,acting on the multiple target proteins such as IL-6,TNF,AKT1,IL-1β,and EGFR,as well as involving a variety of"inflammatory-cancer-related"pathways.

OBJECTIVE: To analyze the important effect of 3D printing personalized lumbar support on lumbar pain and lumbar function in patients with lumbar disc herniation. METHODS: From October 2018 to May 2021, 60 patients initially diagnosed with lumbar disc herniation were selected and divided into an observation group and a control group, with 30 patients in each group. Among them, there were 18 males and 12 females in the observation group;the age ranged from 24 to 56 years old, with an average of (45.23±6.07) years old. The course of disease ranged from 1 to 24 months, with an average of(6.25±0.82) months, and rehabilitation treatment was carried out by wearing 3D printed personalized lumbar support. There were 19 males and 11 females in the control group;the age ranged from 25 to 57 years old, with an average of (42.78±7.58) years old. The course of disease ranged from 1 to 24 months, with an average of (6.72±1.36) months, and rehabilitation treatment is carried out by wearing traditional lumbar protective equipment. The Japanese Orthopaedic Association (JOA) scores, lumbar Oswestry dysfunction index (ODI) and visual analogue scale (VAS) were evaluated and compared between the two groups before and 1 course after treatment (3 weeks). RESULTS: There was no statistically significant difference in JOA, ODI, and VAS between two groups before treatment (P>0.05). After one course of treatment (3 weeks), JOA scores of both groups was increased compared to before treatment (P<0.05), while ODI and VAS decreased compared to before treatment (P<0.05). After treatment, JOA score of observation group was higher than that of control group (P<0.05), while ODI and VAS scores were lower than those of control group. No adverse events occurred in both groups. CONCLUSION The application of 3D printing personalized lumbar support can effectively alleviate the pain of patients with lumbar disc herniation and improve their lumbar function of patients.
Female ; Male ; Humans ; Young Adult ; Adult ; Middle Aged ; Intervertebral Disc Displacement/surgery* ; Printing, Three-Dimensional ; Technology ; Orthopedics ; Low Back Pain

Objective To explore the problems of health poverty faced by a special group of people with disabilities and the difficulties in the practice of health poverty alleviation, so as to provide a scientific basis for the health poverty alleviation of the disabled. Methods A self-made questionnaire was used for one-to-one survey, and a database was established by Excel. SPSS was used for descriptive analysis and horizontal comparison. Results The participation rate of basic medical insurance for the disabled was relatively high (93.40%), and the medical insurance payment was mainly paid by individuals (70.13%). The satisfaction of medical insurance was low (43.12%), and 84.64% of the disabled thought that their medical expenses were high. 45.22% of the families of disabled patients met the universal standard of catastrophic health expenditure. Compared with Shandong Province, the basic medical insurance coverage rate of the disabled in Hubei Province was slightly lower, the satisfaction rate of medical insurance was higher, and the proportion of catastrophic health expenditure of families was larger. The analysis of the results showed that the disabled people with a lower disability level, children and middle-aged with disabilities, the disabled people with less or more family members, and the disabled people without the minimum living subsistence allowances were not satisfied with the medical insurance. Conclusion The basic medical insurance in the two places has alleviated the difficulty of medical treatment for the disabled to a certain extent, but the family burden of diseases of the disabled was still heavy. The level of medical security for people with disabilities should be improved, and their economic burden of disease should be reduced, so as to improve the satisfaction of medical insurance.