Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects upper and lower motor neurons, and its mechanism has not been fully elucidated. In recent years, studies have shown that TAR DNA binding protein-43 (TDP-43) can affect neuronal function through multiple pathways and is closely related to the clinical manifestations and prognoses of ALS patients, suggesting that TDP-43 pathology may be an important target for the diagnosis and treatment of ALS. This article reviews the research progress on role of TDP-43 pathology in pathological mechanism of ALS and its application in diagnosis and treatment of ALS, aiming to provide reference for diagnosis and treatment of ALS.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Purpose To investigate the predictive value of nomogram based on preoperative CT imaging for predicting programmed cell death receptor ligand 1(PD-L1)expression in patient with lung adenocarcinoma.Materials and Methods A total of 158 patients with lung adenocarcinoma were enrolled in Shenzhen people's Hospital from January 2021 to July 2022,of which 82 were negative for PD-L1 and 76 were positive for PD-L1.They were randomly divided into training set(n=119)and verification set(n=39)according to the proportion of 7:3.The significant characteristics between PD-L1 negative and PD-L1 positive were screened by univariate and multivariate Logistic regression to construct a clinical model.Radiomics features were extracted from preoperative CT images,and then features were screened and modeled.Finally,the combined model was established by clinical factors and radiomics features,which was visualized by nomogram.The diagnostic performance of the model was evaluated using receiver operating characteristic curves and area under the curve(AUC).Results The area under the curve(AUC)of the clinical model composed of carcinoembryonic antigen and vascular convergence sign was 0.774(95%CI 0.687-0.860)and 0.808(95%CI 0.670-0.947)in the training set and validation set,respectively.Through feature screening,the radiomics model was composed of 17 radiomics features,and the AUC of the training and validation sets was 0.837(95%CI 0.764-0.910)and 0.778(95%CI 0.633-0.923).The training set and validation set of the combined model composed of carcinoembryonic antigen,vascular convergence sign and radiomics score were AUC 0.892(95%CI 0.832-0.952)and 0.853(95%CI 0.737-0.968).In the training set,the AUC of the combined model was higher than that of the other two models(Z=-2.640,-2.855,P＜0.05).Conclusion Based on preoperative CT radiomics nomogram,it had high predictive efficacy on the expression of PD-L1 in lung adenocarcinoma and could provide decision-making support for the selection of clinical treatment regimens for lung adenocarcinoma patients.

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects upper and lower motor neurons, and its mechanism has not been fully elucidated. In recent years, studies have shown that TAR DNA binding protein-43 (TDP-43) can affect neuronal function through multiple pathways and is closely related to the clinical manifestations and prognoses of ALS patients, suggesting that TDP-43 pathology may be an important target for the diagnosis and treatment of ALS. This article reviews the research progress on role of TDP-43 pathology in pathological mechanism of ALS and its application in diagnosis and treatment of ALS, aiming to provide reference for diagnosis and treatment of ALS.

Objective To compare the hematological parameters,biochemical profiles,histopathological characteristics,and cytokines associated with lipid metabolism in 8-weeks-old specific pathogen-free(SPF)grade and germ-free(GF)golden hamsters.Methods Twenty 8-weeks-old SPF grade and GF golden hamsters,with equal numbers of males and females,were utilized in this study.Serum cytokines associated with routine blood parameters,blood biochemistry,and lipid metabolism were quantified using automated hematology and biochemical analyzers,and enzyme-linked immunosorbent assay kits.The cecum,small intestine,lung,spleen,forestomach,and glandular stomach were examined by histopathology.Results We compared the result between SPF grade and GF golden hamsters at 8 weeks of age.Regarding hematological parameters,females showed significant differences(P＜0.05)in white blood cell count,hemoglobin concentration,mean corpuscular hemoglobin(MCH),and mean platelet volume between the two groups,and highly significant differences(P＜0.001)in MCH concentration(MCHC),platelet distribution width(PDW),and lymphocyte count(LYM).Males showed significant differences(P＜0.05)in mean corpuscular volume,MCH,LYM,neutrophil count,basophil count,and basophil percentage,and highly significant differences(P＜0.001)in MCHC,PDW,lymphocyte percentage,and neutrophil percentage.In terms of biochemical parameters,females showed significant differences(P＜0.05)in low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol,fasting insulin(FINS),and glycosylated serum protein(GSP),and highly significant differences(P＜0.001)in triglycerides(TG).Males showed significant differences(P＜0.05)in GSP levels and highly significant differences(P＜0.001)in total cholesterol,TG,LDL-C,FINS,and C-peptide levels.For serum cytokines related to lipid metabolism,females showed significant differences(P＜0.05)in interleukin(IL)-10,adiponectin(ADP),and IL-6 levels,and highly significant differences(P＜0.001)in high-sensitivity C-reactive protein(hs-CRP).Males showed significant differences(P＜0.05)in hs-CRP levels and highly significant differences(P＜0.001)in ADP and tumor necrosis factor-alpha levels.Hematoxylin/eosin staining showed that the cecal muscle layer was thinner and the number of crypts attached to the mucous membrane was reduced in GF compared with SPF grade golden hamsters.In addition,the ileocele was enlarged and the number of goblet cells was increased,the alveolar septum was widened,immune cells in the white pulp of the spleen were increased,and the blood content in the blood sinuses was increased.There was also thinning of the anterior gastric mucosa and the basophilic strength of the glandular gastric tube gland was weakened.Conclusions This study established the differences in routine blood parameters,blood biochemistry indicators,histopathological features,and cytokines associated with lipid metabolism between 8-weeks-old SPF grade and GF golden hamsters,to establish preliminary reference ranges.

Purpose To investigate the predictive value of nomogram based on preoperative CT imaging for predicting programmed cell death receptor ligand 1(PD-L1)expression in patient with lung adenocarcinoma.Materials and Methods A total of 158 patients with lung adenocarcinoma were enrolled in Shenzhen people's Hospital from January 2021 to July 2022,of which 82 were negative for PD-L1 and 76 were positive for PD-L1.They were randomly divided into training set(n=119)and verification set(n=39)according to the proportion of 7:3.The significant characteristics between PD-L1 negative and PD-L1 positive were screened by univariate and multivariate Logistic regression to construct a clinical model.Radiomics features were extracted from preoperative CT images,and then features were screened and modeled.Finally,the combined model was established by clinical factors and radiomics features,which was visualized by nomogram.The diagnostic performance of the model was evaluated using receiver operating characteristic curves and area under the curve(AUC).Results The area under the curve(AUC)of the clinical model composed of carcinoembryonic antigen and vascular convergence sign was 0.774(95%CI 0.687-0.860)and 0.808(95%CI 0.670-0.947)in the training set and validation set,respectively.Through feature screening,the radiomics model was composed of 17 radiomics features,and the AUC of the training and validation sets was 0.837(95%CI 0.764-0.910)and 0.778(95%CI 0.633-0.923).The training set and validation set of the combined model composed of carcinoembryonic antigen,vascular convergence sign and radiomics score were AUC 0.892(95%CI 0.832-0.952)and 0.853(95%CI 0.737-0.968).In the training set,the AUC of the combined model was higher than that of the other two models(Z=-2.640,-2.855,P＜0.05).Conclusion Based on preoperative CT radiomics nomogram,it had high predictive efficacy on the expression of PD-L1 in lung adenocarcinoma and could provide decision-making support for the selection of clinical treatment regimens for lung adenocarcinoma patients.

Objective To compare the hematological parameters,biochemical profiles,histopathological characteristics,and cytokines associated with lipid metabolism in 8-weeks-old specific pathogen-free(SPF)grade and germ-free(GF)golden hamsters.Methods Twenty 8-weeks-old SPF grade and GF golden hamsters,with equal numbers of males and females,were utilized in this study.Serum cytokines associated with routine blood parameters,blood biochemistry,and lipid metabolism were quantified using automated hematology and biochemical analyzers,and enzyme-linked immunosorbent assay kits.The cecum,small intestine,lung,spleen,forestomach,and glandular stomach were examined by histopathology.Results We compared the result between SPF grade and GF golden hamsters at 8 weeks of age.Regarding hematological parameters,females showed significant differences(P＜0.05)in white blood cell count,hemoglobin concentration,mean corpuscular hemoglobin(MCH),and mean platelet volume between the two groups,and highly significant differences(P＜0.001)in MCH concentration(MCHC),platelet distribution width(PDW),and lymphocyte count(LYM).Males showed significant differences(P＜0.05)in mean corpuscular volume,MCH,LYM,neutrophil count,basophil count,and basophil percentage,and highly significant differences(P＜0.001)in MCHC,PDW,lymphocyte percentage,and neutrophil percentage.In terms of biochemical parameters,females showed significant differences(P＜0.05)in low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol,fasting insulin(FINS),and glycosylated serum protein(GSP),and highly significant differences(P＜0.001)in triglycerides(TG).Males showed significant differences(P＜0.05)in GSP levels and highly significant differences(P＜0.001)in total cholesterol,TG,LDL-C,FINS,and C-peptide levels.For serum cytokines related to lipid metabolism,females showed significant differences(P＜0.05)in interleukin(IL)-10,adiponectin(ADP),and IL-6 levels,and highly significant differences(P＜0.001)in high-sensitivity C-reactive protein(hs-CRP).Males showed significant differences(P＜0.05)in hs-CRP levels and highly significant differences(P＜0.001)in ADP and tumor necrosis factor-alpha levels.Hematoxylin/eosin staining showed that the cecal muscle layer was thinner and the number of crypts attached to the mucous membrane was reduced in GF compared with SPF grade golden hamsters.In addition,the ileocele was enlarged and the number of goblet cells was increased,the alveolar septum was widened,immune cells in the white pulp of the spleen were increased,and the blood content in the blood sinuses was increased.There was also thinning of the anterior gastric mucosa and the basophilic strength of the glandular gastric tube gland was weakened.Conclusions This study established the differences in routine blood parameters,blood biochemistry indicators,histopathological features,and cytokines associated with lipid metabolism between 8-weeks-old SPF grade and GF golden hamsters,to establish preliminary reference ranges.

Building a multi-source heterogeneous data fusion platform for clinical data centers has become a common consensus in the medical information industry. The data fusion platform built by a certain hospital consisted of five parts: data acquisition module, data processing module, data comparison and repair module, data subscription and application module, and data fusion management platform. Data quality check was conducted on data scattered across the hospital′s operational systems with different structures and types, diverse patterns and states, different sizes and versions. The platform could handle duplicate and redundant metadata, collect, transform, process, distribute, and load data as needed, and maintain data consistency through comparison and repair. This platform is capable of automatically capturing, analyzing, governing, and integrating different types of data across databases, operating systems, and hardware environments, meeting diverse medical data application needs, and supporting the high-quality development of intelligent hospitals

Objective:To design and develop a molecular imaging probe of 68Ga-labeled bombesin (BBN) analogue, 68Ga-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA)-polyethylene glycol (PEG) 4-BBN, and investigate its potential to target prostate cancer with high expression of gastrin-releasing peptide receptor (GRPR) while minimizing uptake in pancreatic tissue. Methods:Based on the amino acid sequence of BBN peptides, the precursor DOTA-PEG 4-BBN was designed and prepared, followed by labeling with 68Ga and conducting to quality control analysis. The tumor uptake of 68Ga-DOTA-PEG 4-BBN was assessed by microPET/CT imaging on tumor-bearing nude mice models with PC3 of high GRPR expression or HT29 of low GRPR expression (3 mice per group). 68Ga-DOTA-PEG 4-BBN microPET/CT imaging was also performed on 6 tumor-bearing nude mice models with PC3, among which 3 mice were treated with gastrin-releasing peptide antagonist 1 h prior to injection of the tracer (blocked group). After imaging, the ex vivo tissues of 3 PC3 tumor-bearing nude mice of the non-blocked group were examined for radioactivity counting to evaluation the biodistribution of 68Ga-DOTA-PEG 4-BBN, and the percentage injected dose per gram of tissue (%ID/g) was calculated. Independent-sample t test was used for data analysis. Results:The synthesis of 68Ga-DOTA-PEG 4-BBN took 40 min, with the radiochemical yield of 50%-60% (no decay correction) and the radiochemical purity of over 95%. After incubation in the serum at 37 ℃ for 4 h, the radiochemical purity remained more than 95%. The microPET/CT imaging results indicated that the uptake in the PC3 tumor was 3.2 times higher than the uptake in the tumor after GRPR blockade ((1.34±0.24) vs (0.42±0.03) %ID/g; t=5.47, P=0.005). After the injection of 68Ga-DOTA-PEG 4-BBN at 1 h and following imaging for 15 min, the PC3 tumor-bearing nude mice models of the non-blocked group showed that the pancreatic uptake ((0.150±0.058) %ID/g) was significantly lower than that in kidneys, lungs and liver ((9.452±0.234), (0.720±0.041), (1.572±0.213) %ID/g) with a profound statistical distinction ( t values: 11.28-53.02, all P<0.001). The tumor/pancreas uptake ratio could reach 16.92 in the tumor-bearing nude mice models with high GRPR expression. Conclusion:A novel molecular imaging probe 68Ga-DOTA-PEG 4-BBN demonstrates specific recognition of tumors with high GRPR expression while exhibiting low uptake in the pancreas, which shows its potential in prostate cancer molecular imaging.