Objective To investigate the correlation between skeletal muscle mass index(ASMI)and islet β cell reserve function in patients with newly diagnosed type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with newly diagnosed T2DM were included in this study.All the patients were admitted to the Department of Endocrinology in the First People's Hospital of Yinchuan between June 2022 and November 2023.They were divided into two groups according to their skeletal muscle mass index(ASMI):patients with T2DM accompanied by sarcopenia(Sar,n=50)group,and patients with simple T2DM(T2DM,n=50)group.Additionally,a control(NC)group consisting of 50 healthy participants was selected.Fasting C-peptide levels,liver and kidney function,blood lipid profiles,and other indicators were assessed in all the individuals.The correlation between ASMI and other indicators was analyzed,and the influencing factors for ASMI and T2DM combined with sarcopenia were analyzed respectively.Results The levels of HbA1c,FPG,and TG were higher,while FC-P and Scr levels were lower in the T2DM group and Sar group compared with the NC group(P<0.05).FPG was higher,while ASMI,FC-P,BMI were lower in the Sar group than in the T2DM group(P<0.05).Spearman correlation analysis revealed a negative correlation between ASMI and FPG and HbA1c(P<0.05),whereas a positive correlation was observed with BMI,ALT,Scr,SUA and FC-P(P<0.05).Multiple linear regression analysis indicated that BMI,HbA1c and FC-P were influencing factors for ASMI(P<0.05).Furthermore,logistic regression analysis demonstrated that BMI,HbA1c,FC-P were influencing factors for T2DM with sarcopenia(P<0.05).Conclusions The level of ASMI may be related to the reserve function of islet β cells.

Objective:To explore the lifestyle pattern of the physical examination population and analyze its association with metabolic associated fatty liver disease (MAFLD).Methods:This was a cross-sectional study. Based on the data of 196 515 physical examination individuals from the Health Management Center of the Third Xiangya Hospital of Central South University from January 2016 to December 2020, the subjects were grouped and characterized by principal component analysis and cluster analysis. Among them, 137 277 cases with MAFLD diagnosis information were included in the association analysis between lifestyle pattern and MAFLD. The differences in lifestyle pattern choice among different age, sex, education level, marital status, occupational category and medical insurance type and their differences with the risk of MAFLD were analyzed. The generalized linear mixed model was used to control confounding factors and then association analysis was conducted.Results:There were 6 types of lifestyle patterns in the physical examination population, which were respectively: indulgent type-both physical and mental damage, remedial type-excessive diet, giving type-unique intensity, comfortable type-natural health, heavy smoking type-sedentary injury, heavy drinking type-attempting to make up, accounting for 7.29%, 9.62%, 7.43%, 52.16%, 9.77%, 13.73% in the population. Among them, the male lifestyle pattern was mainly the indulgent type, the remedial type, the heavy smoking type and the heavy drinking type, showing the characteristics of unhealthy lifestyle pattern; Women tended to have healthier lifestyle patterns. After association analysis with MAFLD, it was found that the prevalence of MAFLD was more than 50% in the people who belonged to the indulgent type, remedial type, the heavy smoking type and the heavy drinking type (53.62%, 57.06%, 51.25% and 50.50%, respectively), and the prevalence of MAFLD in the giving type group was 40.17%. The risk of MAFLD in comfortable group was relatively low (28.25%), and the difference in risk of MAFLD among all modes was statistically significant after controlling for confounding factors ( P<0.001). Conclusion:According to cluster mining, there are 6 types of lifestyle patterns in the physical examination population, and the healthier lifestyle pattern has a lower risk of MAFLD.

Objective:To investigate the functional characteristics of the prefrontal cortex in patients with schizophrenia (SCZ) during resting state and analyze its association with clinical symptoms.Methods:Twenty-eight hospitalized patients with SCZ (SCZ group) were selected from November 2023 to May 2024, and 28 healthy controls (HC group) were recruited concurrently. By using functional near-infrared spectroscopy (fNIRS) technology, data on the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) in the prefrontal cortex during resting state were collected from all subjects to measure cortical hemodynamic activity. Regional activation values and functional connectivity (FC) values among brain areas were analyzed. Clinical symptoms in patients were assessed using the positive and negative syndrome scale (PANSS).SPSS 25.0 software was employed for statistical analysis. Between-group comparisons were performed using independent samples t-tests or Mann-Whitney U tests. Spearman correlation analysis and general linear regression models were applied to examine relationships between prefrontal cortical functional characteristics and clinical symptoms. Results:The levels of HbO in the right inferior frontal gyrus and left frontal pole area were significantly higher in the SCZ group (1.5 (1.0, 3.0)μmol/L, 1.0 (1.0, 2.8)μmol/L) than those in the HC group (-0.01 (-0.05, 0.02)μmol/L, -0.02 (-0.07, 0.03)μmol/L) ( Z=-6.46, -6.50, both P<0.01). The levels of HbR in the bilateral dorsolateral prefrontal cortex were significantly higher in the SCZ group (0.02 (-0.01, 0.07)μmol/L, 0.01 (-0.01, 0.03)μmol/L) than those in the HC group (-0.01 (-0.03, 0.01)μmol/L, -0.01 (-0.02, 0.01)μmol/L) ( Z=-2.46, -1.98, both P<0.05).The SCZ group showed significantly higher HbO-based FC values in the frontal pole-temporal pole (0.49±0.21) and temporal pole-dorsolateral prefrontal cortex (0.36±0.25) compared to the HC group (0.33±0.18, 0.15±0.19) ( t=3.02, 3.44, both P<0.01). Conversely, the SCZ group exhibited significantly lower HbR-based FC in the frontal pole-inferior frontal gyrus (0.15±0.13) and inferior frontal gyrus-temporal pole (0.27±0.37) compared to the HC group (0.33±0.26, 0.77±0.48) ( t=-3.17, -4.23, both P<0.01). Correlation analysis revealed that in the SCZ group, the level of HbO in the right inferior frontal gyrus was positively correlated with negative symptoms, positive symptoms, excitement/hostility, and PANSS total score ( r=0.45-0.64, all P<0.05), and the level of HbO in the left frontal pole area was positively correlated with excitement/hostility and PANSS total score ( r=0.57, 0.50, both P<0.01), while the FC value between the frontal pole and temporal pole areas showed a negative correlation with excitement/hostility ( r=-0.39, P<0.05). Regression analysis demonstrated that, the HbO concentration in the right inferior frontal gyrus significantly positively predicted PANSS total score, positive symptoms, and negative symptoms ( β=0.70, 0.64, 0.55, all P<0.01).The HbO concentration in the left frontal pole area significantly positively predicted excitement/hostility ( β=0.77, P<0.01).The frontal pole-temporal pole HbO-based FC significantly negatively predicted excitement/hostility scores ( β=-0.42, P<0.01). Conclusion:Patients with SCZ exhibit hyperactivation of localized prefrontal cortex brain regions and dysfunction of functional connectivity during resting state, which are significantly associated with core clinical symptoms including positive, negative, and excitement/hostility symptoms.

Objective:To investigate the functional characteristics of the prefrontal cortex in patients with schizophrenia (SCZ) during resting state and analyze its association with clinical symptoms.Methods:Twenty-eight hospitalized patients with SCZ (SCZ group) were selected from November 2023 to May 2024, and 28 healthy controls (HC group) were recruited concurrently. By using functional near-infrared spectroscopy (fNIRS) technology, data on the concentration changes of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) in the prefrontal cortex during resting state were collected from all subjects to measure cortical hemodynamic activity. Regional activation values and functional connectivity (FC) values among brain areas were analyzed. Clinical symptoms in patients were assessed using the positive and negative syndrome scale (PANSS).SPSS 25.0 software was employed for statistical analysis. Between-group comparisons were performed using independent samples t-tests or Mann-Whitney U tests. Spearman correlation analysis and general linear regression models were applied to examine relationships between prefrontal cortical functional characteristics and clinical symptoms. Results:The levels of HbO in the right inferior frontal gyrus and left frontal pole area were significantly higher in the SCZ group (1.5 (1.0, 3.0)μmol/L, 1.0 (1.0, 2.8)μmol/L) than those in the HC group (-0.01 (-0.05, 0.02)μmol/L, -0.02 (-0.07, 0.03)μmol/L) ( Z=-6.46, -6.50, both P<0.01). The levels of HbR in the bilateral dorsolateral prefrontal cortex were significantly higher in the SCZ group (0.02 (-0.01, 0.07)μmol/L, 0.01 (-0.01, 0.03)μmol/L) than those in the HC group (-0.01 (-0.03, 0.01)μmol/L, -0.01 (-0.02, 0.01)μmol/L) ( Z=-2.46, -1.98, both P<0.05).The SCZ group showed significantly higher HbO-based FC values in the frontal pole-temporal pole (0.49±0.21) and temporal pole-dorsolateral prefrontal cortex (0.36±0.25) compared to the HC group (0.33±0.18, 0.15±0.19) ( t=3.02, 3.44, both P<0.01). Conversely, the SCZ group exhibited significantly lower HbR-based FC in the frontal pole-inferior frontal gyrus (0.15±0.13) and inferior frontal gyrus-temporal pole (0.27±0.37) compared to the HC group (0.33±0.26, 0.77±0.48) ( t=-3.17, -4.23, both P<0.01). Correlation analysis revealed that in the SCZ group, the level of HbO in the right inferior frontal gyrus was positively correlated with negative symptoms, positive symptoms, excitement/hostility, and PANSS total score ( r=0.45-0.64, all P<0.05), and the level of HbO in the left frontal pole area was positively correlated with excitement/hostility and PANSS total score ( r=0.57, 0.50, both P<0.01), while the FC value between the frontal pole and temporal pole areas showed a negative correlation with excitement/hostility ( r=-0.39, P<0.05). Regression analysis demonstrated that, the HbO concentration in the right inferior frontal gyrus significantly positively predicted PANSS total score, positive symptoms, and negative symptoms ( β=0.70, 0.64, 0.55, all P<0.01).The HbO concentration in the left frontal pole area significantly positively predicted excitement/hostility ( β=0.77, P<0.01).The frontal pole-temporal pole HbO-based FC significantly negatively predicted excitement/hostility scores ( β=-0.42, P<0.01). Conclusion:Patients with SCZ exhibit hyperactivation of localized prefrontal cortex brain regions and dysfunction of functional connectivity during resting state, which are significantly associated with core clinical symptoms including positive, negative, and excitement/hostility symptoms.

Objective:To explore the lifestyle pattern of the physical examination population and analyze its association with metabolic associated fatty liver disease (MAFLD).Methods:This was a cross-sectional study. Based on the data of 196 515 physical examination individuals from the Health Management Center of the Third Xiangya Hospital of Central South University from January 2016 to December 2020, the subjects were grouped and characterized by principal component analysis and cluster analysis. Among them, 137 277 cases with MAFLD diagnosis information were included in the association analysis between lifestyle pattern and MAFLD. The differences in lifestyle pattern choice among different age, sex, education level, marital status, occupational category and medical insurance type and their differences with the risk of MAFLD were analyzed. The generalized linear mixed model was used to control confounding factors and then association analysis was conducted.Results:There were 6 types of lifestyle patterns in the physical examination population, which were respectively: indulgent type-both physical and mental damage, remedial type-excessive diet, giving type-unique intensity, comfortable type-natural health, heavy smoking type-sedentary injury, heavy drinking type-attempting to make up, accounting for 7.29%, 9.62%, 7.43%, 52.16%, 9.77%, 13.73% in the population. Among them, the male lifestyle pattern was mainly the indulgent type, the remedial type, the heavy smoking type and the heavy drinking type, showing the characteristics of unhealthy lifestyle pattern; Women tended to have healthier lifestyle patterns. After association analysis with MAFLD, it was found that the prevalence of MAFLD was more than 50% in the people who belonged to the indulgent type, remedial type, the heavy smoking type and the heavy drinking type (53.62%, 57.06%, 51.25% and 50.50%, respectively), and the prevalence of MAFLD in the giving type group was 40.17%. The risk of MAFLD in comfortable group was relatively low (28.25%), and the difference in risk of MAFLD among all modes was statistically significant after controlling for confounding factors ( P<0.001). Conclusion:According to cluster mining, there are 6 types of lifestyle patterns in the physical examination population, and the healthier lifestyle pattern has a lower risk of MAFLD.

Objective To investigate the correlation between skeletal muscle mass index(ASMI)and islet β cell reserve function in patients with newly diagnosed type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with newly diagnosed T2DM were included in this study.All the patients were admitted to the Department of Endocrinology in the First People's Hospital of Yinchuan between June 2022 and November 2023.They were divided into two groups according to their skeletal muscle mass index(ASMI):patients with T2DM accompanied by sarcopenia(Sar,n=50)group,and patients with simple T2DM(T2DM,n=50)group.Additionally,a control(NC)group consisting of 50 healthy participants was selected.Fasting C-peptide levels,liver and kidney function,blood lipid profiles,and other indicators were assessed in all the individuals.The correlation between ASMI and other indicators was analyzed,and the influencing factors for ASMI and T2DM combined with sarcopenia were analyzed respectively.Results The levels of HbA1c,FPG,and TG were higher,while FC-P and Scr levels were lower in the T2DM group and Sar group compared with the NC group(P<0.05).FPG was higher,while ASMI,FC-P,BMI were lower in the Sar group than in the T2DM group(P<0.05).Spearman correlation analysis revealed a negative correlation between ASMI and FPG and HbA1c(P<0.05),whereas a positive correlation was observed with BMI,ALT,Scr,SUA and FC-P(P<0.05).Multiple linear regression analysis indicated that BMI,HbA1c and FC-P were influencing factors for ASMI(P<0.05).Furthermore,logistic regression analysis demonstrated that BMI,HbA1c,FC-P were influencing factors for T2DM with sarcopenia(P<0.05).Conclusions The level of ASMI may be related to the reserve function of islet β cells.

Objective:To investigate the role and mechanism of long non-coding RNA (lncRNA) gastric cancer associated transcript 3 (GACAT3) in glioma radioresistance.Methods:Real-time reverse transcription PCR (RT-qPCR) was used to detect the expression of lncRNA GACAT3 and miR-497 in human astrocyte NHA cells and glioma cells U251. NC-siRNA and GACAT3-siRNA were transfected into U251 cells, and the cells were treated with X-ray irradiation. Colony formation assay was used to detect the survival fraction of U251 cells. The apoptosis of U251 cells was detected by flow cytometry. Western blot was used to detect the expression of cysteine containing aspartate specific protease 3 (Caspase-3) in U251 cells. Bioinformatics software and dual luciferase reporter gene assay were used to predict and verify the targeting relationship between lncRNA GACAT3 and miR-497, and between miR-497 and Yes-associated protein 1 (YAP1), respectively. NC mimic, miR-497 mimic, GACAT3-siRNA and NC inhibitor, GACAT3-siRNA and miR-497 inhibitor were co-transfected into U251 cells. Colony formation assay, flow cytometry and Western blot were adopted to evaluate the effect of miR-497 overexpression and lncRNA GACAT3 on the radiosensitivity of U251 cells by regulating miR-497.Results:Compared with NHA cells, the expression of lncRNA GACAT3 in U251 cells was significantly up-regulated, and the expression of miR-497 in U251 cells was significantly down-regulated (both P<0.05). After knockdown of GACAT3, the survival fraction of irradiated U251 cells was significantly decreased, while the apoptosis rate and Caspase-3 protein expression were significantly increased (all P<0.05). lncRNA GACAT3 targeted and negatively regulated the expression of miR-497. Overexpression of miR-497 significantly reduced the survival fraction of U251 cells after irradiation, and increased the apoptosis rate and Caspase-3 protein expression. Inhibition of miR-497 significantly reversed the promoting effect of lncRNA GACAT3 knockdown on the radiosensitivity of U251 cells. miR-497 targeted and negatively regulated the expression of YAP1. Conclusion:Knockdown of lncRNA GACAT3 can enhance the radiosensitivity of glioma cells by regulating the miR-497/YAP1 axis.

Objective:To analyze the electroencephalogram (EEG) features of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), and to combine the characteristics for classification and prediction.Methods:One hundred and thirty-five patients attending the Department of Neurology at the General Hospital of Tianjin Medical University were enrolled, including 34 patients with AD, 67 patients with MCI, and 34 healthy control (HC). The electroencephalogram signals of these patients in the resting state were collected and preprocessed. Relative power spectral density features and sample entropy features on a multi-band scale were extracted to compare the whole-brain differences in electroencephalogram features among the 3 groups of subjects, and then subdivided into brain regions and individual leads for in-depth analysis. The above two features were fused to classify and predict AD, MCI, and HC by support vector machine (SVM).Results:The frontal regions had higher δ relative power spectral densities than the other regions, and the occipital and temporal regions showed relatively lower distributions. θ-Band relative power spectral densities had a more even distribution of sizes across brain regions. α-Band relative power spectral densities were concentrated in the occipital lobe, while β-band relative power spectral densities were mainly concentrated in the parietal and temporal lobes. Except for the central lobe, the δ-band relative power spectral densities of the AD group were higher than those of the MCI group ( P < 0.05) and HC group ( P < 0.01) in all brain regions and the whole brain. θ-band relative power spectral densities of the AD group were higher than those of the MCI gourp ( P < 0.001) and HC group ( P < 0.001) in the whole brain and in all brain regions. α-Band relative power spectral densities of the AD group were lower than those of the other groups only in the temporal lobe (all P < 0.05). The relative power spectral density of the β-band in the AD group was higher than that of the other groups in the whole brain and in all brain regions ( P < 0.05, 0.01, 0.001). The difference in the relative power spectral density of the δ-band in the C3 lead in the central lobe of the AD and HC groups was statistically significant ( P < 0.05). The relative power spectral density of the γ-band in the temporal lobe was higher than that in the other regions of the AD group, the MCI group, and the HC group. The relative power spectral density of the γ-band in the T3 lead in the AD group was significantly lower than that in the T4 lead. The average entropy of samples in the whole brain and in each brain region was lower than that in the HC group in the AD and MCI groups (all P < 0.05). The entropy of the samples at lead C3 in the AD group was lower than that in the MCI group ( P < 0.05). The differences between the relative power spectral density, sample entropy, and the actual data classification evaluation indexes (accuracy rate, precision rate, recall rate, and F1 score) that fused the two features, and the rearranged data were all statistically significant (all P < 0.001). When the relative power spectral density feature and the sample entropy feature were fused in the classification features, the best classification prediction was achieved, with an accuracy rate of 80%, a precision rate of 78%, a recall rate of 78%, and the F1 score of 79%. Conclusions:Relative power spectral density and sample entropy analysis can reveal the abnormalities of electroencephalogram activities of AD and MCI patients from different perspectives (linear and nonlinear), and the combination of these two features in classification prediction can improve the classification effect.

Objective:To determine the relationship between health self-empowerment level and health self-management skill in older adults.Methods:A household survey was conducted from June 2020 to April 2021, among older adults in two communities each in Zhuzhou and Changsha selected by stratified cluster sampling. Data were collected through a general questionnaire, simplified. Elders Health Empowerment Scale, and Rating Scale of Health Self-Management Skill for Adults. A total of 444 questionnaires were distributed, of which 425 were valid. Pearson correlation and hierarchical regression analyses were used to analyze the relationship between health self-empowerment level and health self-management skill.Results:Final sample included 425 elderly people. Health self-empowerment was at medium to high level (30.9±5.6), whereas health self-management was at medium level (146.2±21.7); and the two factors were significantly correlated (Pearson coefficient was 0.724). After controlling for confounding factors (demographic characteristics), health self-empowerment independently accounted for 34.3% of the variation in health self-management ability.Conclusion:Health self-empowerment positively affects health self-management ability among older adults, which suggests the importance of stimulating health self-empowerment awareness in the process of health self-management.

Objective: To study the effect of WT1 expression on the prognosis of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in acute leukemia (AL) and its significance as molecular marker to dynamically monitor minimal residual disease (MRD) . Methods: Retrospectively analyzed those AL patients who underwent allo-HSCT in the First Hospital Affiliated to Zhejiang University School of Medicine during Jan 2016 to Dec 2017, a total number of 314 cases, 163 males and 151 females, median age was 30 (9-64) years old. Comparing the difference of WT1 expression at diagnosed, pre-HSCT and after HSCT. Using the receiver operating characteristic (ROC) curve to determine the WT1 threshold at different time so as to predict relapse. The threshold of WT1 expression before transplantation was 1.010%, within 3 months after HSCT was 0.079% and 6 months after HSCT was 0.375%. According to these thresholds, WT1 positive patients were divided into low expression groups and high expression groups. Analyzed the relationship between overall survival (OS) , disease-free survival (DFS) , cumulative incidence of relapse (CIR) and WT1 expression. Results: The OS and DFS of high expression group pre-HSCT were lower than low expression group [69.2% (9/13) vs 89.1% (57/64) , χ²=4.086, P=0.043; 53.8% (7/13) vs 87.5% (56/64) , χ²=9.766, P=0.002], CIR was higher than low expression group [30.8% (4/13) vs 7.8% (5/64) , P=0.017]. There was no significant difference of OS and DFS between high expression and low expression group of 3 months after HSCT (P=0.558, P=0.269) . The OS and DFS of high expression group of 6 months after transplantation were both lower than low expression group (P=0.049, P=0.035) . Multivariate analysis showed that WT1>0.375% when 6 months after transplantation was the only independent prognostic factor for shorter DFS (P=0.022) . There was no statistically significant difference in CIR between the high-expression group and the low-expression group 3 months after transplantation and 6 months after transplantation (P=0.114, P=0.306) . Conclusion High expression of WT1 before and after HSCT was an adverse prognosis factor. It is of clinical practical value to use WT1 as a transplant recommendation index for patients with acute leukemia and as a marker to monitor MRD dynamically.