Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

Objective: To understand the epidemiological and spatial clustering characteristics of hand-foot-mouth disease in Pingxiang City, Jiangxi Province from 2013 to 2023, so as to provide the evidence for improving hand-foot-mouth disease prevention and control measures. Methods: Data of hand-foot-mouth disease cases in Pingxiang City from 2013 to 2023 were collected from the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Demographic, temporal, and regional distribution characteristics were described. The trend in incidence was analyzed using the average annual percent change (AAPC). The spatial clustering and aggregation patterns of hand-foot-mouth disease were identified using global and local spatial autocorrelation analyses. Results: A total of 58 020 hand-foot-mouth disease cases were reported in Pingxiang City from 2013 to 2023, with an average annual incidence of 289.71/105. No significant trend in the reported incidence of hand-foot-mouth disease was observed (AAPC=-7.398%, P>0.05). Among them, 33 892 were males and 24 128 were females, with infants aged 0-<3 years accounting for 70.59% of the total (40 958 cases). The peak incidence occurred mainly from May to June and from September to December. Luxi County had the highest average annual reported incidence of 677.10/105. Spatial autocorrelation analysis indicated significant spatial clustering of hand-foot-mouth disease in 2018, 2019, 2021, and 2022 (Moran's I=0.314, 0.339, 0.381, and 0.668, all P<0.05). High-high clustering areas were primarily identified in 7 townships (streets) of Anyuan District, 2 in Xiangdong District, 4 in Shangli County, and 1 in Luxi County. Conclusions The reported incidence of hand-foot-mouth disease in Pingxiang City from 2013 to 2023 remained stable overall, with higher susceptibility among young children and peak incidence during summer and autumn. Spatial clustering of hand-foot-mouth disease was observed, expanding northward and southwestward from Anyuan District as the core area.

Objective:To investigate the association between blood pressure variability (BPV) and all-cause mortality and cardiovascular events in patients undergoing continuous ambulatory peritoneal dialysis (CAPD), and provide reference for clinical management in CAPD patients.Methods:This retrospective cohort study included patients who received CAPD at Guangdong Provincial People's Hospital between May 1, 2010, and July 31, 2023. Baseline and clinical data of the patients were collected. Coefficient of variation of systolic blood pressure (CVSBP) was used to assess BPV. The patients were divided into CVSBP T1, CVSBP T2 and CVSBP T3 groups based on CVSBP tertiles, and the differences among the three groups were compared. Diastolic blood pressure and mean arterial pressure were used to further assess BPV and sensitivity analysis was conducted. The primary endpoint was the composite outcome of all-cause mortality and cardiovascular events. Kaplan-Meier survival curve and Cox regression analysis were used to analyze the association between CVSBP and the primary endpoint.Results:A total of 358 CAPD patients were included, with age of (43.6±13.3) years, and 197 males (55.0%). The proportion of males, proportion of smoking, baseline blood urea nitrogen, serum creatinine and serum albumin in CVSBP T2 (9.08%≤CVSBP<12.55%, n=120) group and CVSBP T3 (CVSBP≥12.55%, n=119) group were lower than those in CVSBP T1 group (CVSBP<9.08%, n=119), and baseline systolic blood pressure, residual kidney Kt/V and total Kt/V were higher than those in CVSBP T1 group, with statistically significant difference among the three groups (all P<0.05). During follow-up of 37(23, 76) months, 49 patients (13.7%) experienced the composite endpoint events, including 12 patients (3.4%) of all-cause deaths and 42 patients (11.7%) of cardiovascular events. Kaplan-Meier survival analysis showed that the incidence of composite endpoint events in CVSBP T3 group was higher than that in CVSBP T1 group and CVSBP T2 group, but the difference was not statistically significant (Log-rank χ2=3.795, P=0.150). Multivariate Cox regression analysis showed that, after adjusting for age, sex, diabetes, baseline systolic blood pressure, residual renal function, and serum albumin, as a continuous variable, CVSBP was not associated with the risk of composite outcome in CAPD patients ( HR=1.058, 95% CI 0.985?1.135, P=0.122); as a categorical variable, with CVSBP T1 group as reference, CVSBP T2 group and CVSBP T3 group were not associated with the risk of composite outcome ( HR=1.222, 95% CI 0.471?3.167, P=0.681; HR=1.827, 95% CI 0.737?4.530, P=0.193). The sensitivity analysis showed that increased variability of diastolic blood pressure ( HR=1.162, 95% CI 1.063?1.270, P=0.021) and increased variability of mean arterial pressure ( HR=1.114, 95% CI 1.030?1.204, P=0.007) were correlated with higher risk of composite outcome in CPAD patients. Conclusions:Systolic blood pressure variability during follow-up is not associated with risk of composite outcome of all-cause mortality and cardiovascular events in CAPD patients. Increased variability of diastolic blood pressure and increased variability of mean arterial pressure are associated with a higher risk of composite outcome in CPAD patients. Interventions to reduce BPV may be helpful to improve the long-term prognosis of CAPD patients.

Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

Objective:To investigate the association between blood pressure variability (BPV) and all-cause mortality and cardiovascular events in patients undergoing continuous ambulatory peritoneal dialysis (CAPD), and provide reference for clinical management in CAPD patients.Methods:This retrospective cohort study included patients who received CAPD at Guangdong Provincial People's Hospital between May 1, 2010, and July 31, 2023. Baseline and clinical data of the patients were collected. Coefficient of variation of systolic blood pressure (CVSBP) was used to assess BPV. The patients were divided into CVSBP T1, CVSBP T2 and CVSBP T3 groups based on CVSBP tertiles, and the differences among the three groups were compared. Diastolic blood pressure and mean arterial pressure were used to further assess BPV and sensitivity analysis was conducted. The primary endpoint was the composite outcome of all-cause mortality and cardiovascular events. Kaplan-Meier survival curve and Cox regression analysis were used to analyze the association between CVSBP and the primary endpoint.Results:A total of 358 CAPD patients were included, with age of (43.6±13.3) years, and 197 males (55.0%). The proportion of males, proportion of smoking, baseline blood urea nitrogen, serum creatinine and serum albumin in CVSBP T2 (9.08%≤CVSBP<12.55%, n=120) group and CVSBP T3 (CVSBP≥12.55%, n=119) group were lower than those in CVSBP T1 group (CVSBP<9.08%, n=119), and baseline systolic blood pressure, residual kidney Kt/V and total Kt/V were higher than those in CVSBP T1 group, with statistically significant difference among the three groups (all P<0.05). During follow-up of 37(23, 76) months, 49 patients (13.7%) experienced the composite endpoint events, including 12 patients (3.4%) of all-cause deaths and 42 patients (11.7%) of cardiovascular events. Kaplan-Meier survival analysis showed that the incidence of composite endpoint events in CVSBP T3 group was higher than that in CVSBP T1 group and CVSBP T2 group, but the difference was not statistically significant (Log-rank χ2=3.795, P=0.150). Multivariate Cox regression analysis showed that, after adjusting for age, sex, diabetes, baseline systolic blood pressure, residual renal function, and serum albumin, as a continuous variable, CVSBP was not associated with the risk of composite outcome in CAPD patients ( HR=1.058, 95% CI 0.985?1.135, P=0.122); as a categorical variable, with CVSBP T1 group as reference, CVSBP T2 group and CVSBP T3 group were not associated with the risk of composite outcome ( HR=1.222, 95% CI 0.471?3.167, P=0.681; HR=1.827, 95% CI 0.737?4.530, P=0.193). The sensitivity analysis showed that increased variability of diastolic blood pressure ( HR=1.162, 95% CI 1.063?1.270, P=0.021) and increased variability of mean arterial pressure ( HR=1.114, 95% CI 1.030?1.204, P=0.007) were correlated with higher risk of composite outcome in CPAD patients. Conclusions:Systolic blood pressure variability during follow-up is not associated with risk of composite outcome of all-cause mortality and cardiovascular events in CAPD patients. Increased variability of diastolic blood pressure and increased variability of mean arterial pressure are associated with a higher risk of composite outcome in CPAD patients. Interventions to reduce BPV may be helpful to improve the long-term prognosis of CAPD patients.

Objective:To compare the effects of different test meals on postprandial triglycerides and to optimize the standard meal composition and the blood sampling protocol for the oral fat tolerance test.Methods:This study is a prospective, open-label, randomized, cross-over trial. In March 2023, 36 volunteers were recruited in Hebei General Hospital. They underwent a health examination and oral glucose tolerance test. Twenty-six healthy volunteers(11 males and 15 females) were included in this study, with an average age of(39.08±4.56) years. Each volunteer received 75 g protein meal, 75 g fat meal, 700 kcal fixed-calorie high-fat mixed meal, and a high-fat mixed meal with energy adjusted based on 10 kcal/kg body weight. A one-week washout period of regular diet was applied before each trial. Blood was collected at fasting status and 1, 2, 3, 4, 5, and 6 hours after a meal to detect serum triglycerides, total cholesterol, low density lipoprotein-cholesterol(LDL-C), high density lipoprotein-cholesterol(HDL-C), glucose, and insulin. The variations of postprandial metabolic indicators over time following the consumption of different test meals were analyzed. The disparities in postprandial metabolic responses between the two types of mixed meals were compared.Results:The protein meal, fat meal, fixed-calorie high-fat mixed meal, and adjusted-calorie high-fat mixed meal resulted in postprandial triglyceride increases of 22.45%, 115.40%, 77.14%, and 63.63%, and insulin increase of 560.43%, 85.69%, 554.18%, and 598.97%, respectively, and with reductions in total cholesterol, LDL-C, and HDL-C ranging from 5.64%-21.81%, respectively. The blood glucose changed slightly. Changes in metabolic indicators mainly occured within 4 hours. The comparison of the characteristics of postprandial triglycerides between the two high-fat mixed meals showed no statistically significant differences( P>0.05). Conclusion:A standardize protocol with a 700 kcal fixed-calorie high-fat mixed meal as test meal, and blood lipid levels measured at fasting and at 1, 2, 3, and 4 hours after consumption, can serve as an optimized approach for oral fat tolerance test.

BACKGROUND:Indolepropionic acid has been shown to reduce diabetes-induced central nervous system inflammation.However,there is a lack of research on whether to inhibit microglia M1 polarization for the treatment of spinal cord injury. OBJECTIVE:To investigate the mechanism of indolepropionic acid inhibition of microglial cell M1 polarization for the treatment of spinal cord injury through cell and animal experiments. METHODS:(1)In vitro experiments:BV2 cell viability was assessed using the CCK-8 assay to determine optimal concentrations of indolepropionic acid.Subsequently,BV2 cells were categorized into control group,administration group(50 μmol/L indolepropionic acid),lipopolysaccharide group(100 ng/mL lipopolysaccharide),and treatment group(100 ng/mL lipopolysaccharide + 50 μmol/L indolepropionic acid).Nitric oxide content was quantified using the Griess method.Real-time quantitative PCR and western blot assay were employed to measure mRNA and protein levels of pro-inflammatory factors.Cell immunofluorescence staining was conducted to assess inducible nitric oxide synthase expression.The Seahorse assay was employed to assess glycolytic stress levels in BV2 cells.(2)In vivo experiments:30 SD rats were randomly divided into three groups:sham surgery group,spinal cord injury group,and indolepropionic acid group.Motor function recovery in rats after spinal cord injury was assessed using BBB scoring and the inclined plane test.Immunofluorescence staining of spinal cord tissue was conducted to evaluate the expression of inducible nitric oxide synthase in microglial cells.ELISA was employed to measure protein expression levels of the pro-inflammatory cytokines interleukin-1β and tumor necrosis factor-α in spinal cord tissue. RESULTS AND CONCLUSION:(1)In vitro experiments:Indolepropionic acid exhibited significant suppression of BV2 cell viability when its concentration exceeded 50 μmol/L.Indolepropionic acid achieved this by inhibiting the activation of the nuclear factor κB signaling pathway,thereby suppressing the mRNA and protein expression levels of pro-inflammatory cytokines(interleukin-1β and tumor necrosis factor-α),as well as the M1 polarization marker,inducible nitric oxide synthase,in BV2 cells.Additionally,indolepropionic acid notably reduced the glycolytic level in BV2 cells induced by lipopolysaccharides.(2)In vivo experiments:Following indolepropionic acid intervention in spinal cord injury rats,there was a noticeable increase in BBB scores and the inclined plane test angle.There was also a significant decrease in the number of M1-polarized microglial cells in spinal cord tissue,accompanied by a marked reduction in the protein expression levels of pro-inflammatory cytokines(interleukin-1β and tumor necrosis factor-α).(3)These results conclude that indolepropionic acid promotes functional recovery after spinal cord injury by improving the inflammatory microenvironment through inhibition of microglia M1 polarization.

Schizophrenia is a serious mental disorder that is often associated with profound impairment in patients′ daily functioning, and its etiology and pathophysiology are still to be fully elucidated. There is a pathological correlation between inflammation, brain injuries, and the pathogenesis of schizophrenia, with microglia actively participating in these processes. This review provides a comprehensive overview of the impact of microglial cells on neurodevelopment and neuroplasticity, and microglia abnormalities mediating the onset of schizophrenia by contributing to damage in different brain regions.

Schizophrenia is a serious mental disorder that is often associated with profound impairment in patients′ daily functioning, and its etiology and pathophysiology are still to be fully elucidated. There is a pathological correlation between inflammation, brain injuries, and the pathogenesis of schizophrenia, with microglia actively participating in these processes. This review provides a comprehensive overview of the impact of microglial cells on neurodevelopment and neuroplasticity, and microglia abnormalities mediating the onset of schizophrenia by contributing to damage in different brain regions.