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

The effectiveness of reperfusion therapy in patients with mild non-disabling stroke still lacks sufficient evidence. Especially for patients with mild non-disabling stroke who have multiple risk factors or large vessel occlusion, whether they can benefit from intravenous thrombolysis and endovascular treatment remains an important issue to be addressed in current clinical research. This article reviews the research progress on reperfusion therapy for acute mild non-disabling stroke.

Objective To investigate the learning curve of CT-guided percutaneous lung biopsy.Methods Using cumulative sum(CUSUM)analysis method,the clinical data from 110 patients,who underwent CT-guided percutaneous lung biopsy performed by the same physician at the First Affiliated Hospital of Zhengzhou University of China between May 2024 and October 2024,were retrospectively analyzed.The CUSUM learning curve was fitted,and R2 was used to assess the goodness of fit.The baseline and perioperative data were compared between different stages of the learning curve so as to determine the number of accomplished surgical cases that was required for a physician to reach the proficiency stage from the learning stage in performing CT-guided percutaneous lung biopsy.Results Successful CT-guided percutaneous lung biopsy was accomplished in all patients,with a mean operation time of(20.2+3.4)minutes(range of 15-29 minutes).With the accumulation of surgical cases,the operation time showed a gradual downward trend.The learning curve was best fitted with a cubic equation,the equation was as follows:CUSUM(110)=0.000 3x3-0.081 3x2+5.597 9x+0.774 3(where x representing the number of cases),with a goodness-of-fit coefficient R2=0.991.The fitted curve reached its peak at the performance of the 46th case,which was used as the cutoff point to divide the learning curve into two phases.Compared with the learning phase,in the proficiency phase the incidence of complications was significantly lower(pneumothorax:18.8％vs 37.0％,P=0.033)and the mean operation time was obviously shorter[(18.33+2.31)min vs(22.80±3.02)min,P＜0.001].Conclusion Through precise CUSUM analysis of the learning curves obtained from 110 patients receiving CT-guided percutaneous lung biopsy,the results of this study indicates that it requires to accomplish 46 operations before a physician can skillfully master the technique of CT-guided percutaneous lung biopsy.

Objective Our previous studies established that microRNA (miR)-451 from human umbilical cord mesenchymal stem cell-derived exosomes (hUC-MSC-Exos) alleviates acute lung injury (ALI). This study aims to elucidate the mechanisms by which miR-451 in hUC-MSC-Exos reduces ALI by modulating macrophage autophagy. Methods Exosomes were isolated from hUC-MSCs. Severe burn-induced ALI rat models were treated with hUC-MSC-Exos carrying the miR-451 inhibitor. Hematoxylin-eosin staining evaluated inflammatory injury. Enzyme-linked immunosorbnent assay measured lipopolysaccharide (LPS),tumor necrosis factor-α,and interleukin-1β levels. qRT-PCR detected miR-451 and tuberous sclerosis complex 1 (TSC1) expressions. The regulatory role of miR-451 on TSC1 was determined using a dual-luciferase reporter system. Western blotting determined TSC1 and proteins related to the mammalian target of rapamycin (mTOR) pathway and autophagy. Immunofluorescence analysis was conducted to examine exosomes phagocytosis in alveolar macrophages and autophagy level. Results hUC-MSC-Exos with miR-451 inhibitor reduced burn-induced ALI and promoted macrophage autophagy. MiR-451 could be transferred from hUC-MSCs to alveolar macrophages via exosomes and directly targeted TSC1. Inhibiting miR-451 in hUC-MSC-Exos elevated TSC1 expression and inactivated the mTOR pathway in alveolar macrophages. Silencing TSC1 activated mTOR signaling and inhibited autophagy,while TSC1 knockdown reversed the autophagy from the miR-451 inhibitor-induced. Conclusion miR-451 from hUC-MSC exosomes improves ALI by suppressing alveolar macrophage autophagy through modulation of the TSC1/mTOR pathway,providing a potential therapeutic strategy for ALI.

Objective To investigate the effects of abdominal tuina on the expression of PI3K and N-methyl-D-aspartate receptor(NMDAR)subunit NR1 in spinal dorsal horn and the morphology of spinal dorsal horn neurons in ulcerative colitis(UC)rats;To explore its mechanism of action in treating UC.Methods Totally 36 SD rats were randomly divided into normal group,model group,abdominal tuina group,mesalazine group,PI3K stimulation group and PI3K stimulation + abdominal tuina group,with 6 rats in each group.The UC model in rats was simulated by drinking dextran sulfate solution freely.The abdominal tuina group and the PI3K stimulation + abdominal tuina group were given abdominal tuina intervention,the mesalazine group was given mesalazine solution for gavage,and the PI3K stimulation group and PI3K stimulation + abdominal tuina group were given intrathecal injection of PI3K agonist,once a day,for consecutive 15 days.Abdominal withdrawal reflex(AWR)score and acetic acid twist were used to observe the abdominal pain symptoms in rats.The expression of PI3K and NR1 in spinal dorsal horn were detected by immunofluorescence staining and Western blot,and the morphological changes of spinal dorsal horn neurons were observed by Nissl staining.Results Compared with the normal group,AWR score and twisting times of rats in model group significantly increased(P<0.01),the expression of PI3K and NR1 protein in spinal dorsal horn significantly increased(P<0.05,P<0.01),the morphology of spinal dorsal horn neurons was disordered,forming a large number of vacuolar like structures,and the Nissl body structure was fuzzy and incomplete.Compared with the model group,AWR scores and twisting times of abdominal tuina group and mesalazine group significantly decreased(P<0.05,P<0.01),and the expression of PI3K and NR1 protein significantly decreased(P<0.05,P<0.01),the edema of spinal dorsal horn neurons was milder,with fewer vacuolar changes and an increase in the number of Nissl bodies;AWR scores and twisting times of PI3K stimulation group and PI3K stimulation + abdominal tuina group significantly increased(P<0.05,P<0.01),and the expressions of PI3K and NR1 protein increased(P<0.05,P<0.01),a large number of neurons underwent pyknosis and necrosis,and the number of Nissl bodies decreased,even dissolving and disappearing.Conclusion Abdominal tuina can effectively improve the symptoms of abdominal pain in UC model rats,and its mechanism may be related to inhibiting the expression of PI3K and NR1 in spinal dorsal horn and improving the morphology of spinal dorsal horn neurons.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.