Objective:Adverse cardiovascular events are the leading cause of death in peritoneal dialysis patients.Identifying indicators that can predict adverse cardiovascular events in these patients is crucial for prognosis.This study aims to assess the value of dual-specificity phosphatase 6(DUSP6)in peripheral blood mononuclear cells as a predictor of adverse cardiovascular events after peritoneal dialysis in diabetic nephropathy patients. Methods:A total of 124 diabetic nephropathy patients underwent peritoneal dialysis treatment at the Department of Nephrology of the First Affiliated Hospital of Hebei North University from June to September 2022 were selected as study subjects.The levels of DUSP6 in peripheral blood mononuclear cells were determined using Western blotting.Patients were categorized into high-level and low-level DUSP6 groups based on the median DUSP6 level.Differences in body mass index,serum albumin,high-sensitivity C-reactive protein,and dialysis duration were compared between the 2 groups.Pearson,Spearman,and multiple linear regression analyses were performed to examine factors related to DUSP6.Patients were followed up to monitor the occurrence of adverse cardiovascular events,and risk factors for adverse cardiovascular events after peritoneal dialysis were analyzed using Kaplan-Meier and Cox regression. Results:By the end of the follow-up,33(26.61%)patients had experienced at least one adverse cardiovascular event.The high-level DUSP6 group had higher body mass index,longer dialysis duration,and higher high-sensitivity C-reactive protein,but lower serum albumin levels compared to the low-level DUSP6 group(all P<0.05).DUSP6 was negatively correlated with serum albumin levels(r=-0.271,P=0.002)and positively correlated with dialysis duration(rs=0.406,P<0.001)and high-sensitivity C-reactive protein(rs=0.367,P<0.001).Multiple linear regression analysis revealed that dialysis duration and high-sensitivity C-reactive protein were independently correlated with DUSP6 levels(both P<0.05).The cumulative incidence of adverse cardiovascular events was higher in the high-level DUSP6 group than in the low-level DUSP6 group(46.67%vs 7.81%,P<0.001).Cox regression analysis indicated that low serum albumin levels(HR=0.836,95%CI 0.778 to 0.899),high high-sensitivity C-reactive protein(HR=1.409,95%CI 1.208 to 1.644),and high DUSP6(HR=6.631,95%CI 2.352 to 18.693)were independent risk factors for adverse cardiovascular events in peritoneal dialysis patients. Conclusion:Dialysis duration and high-sensitivity C-reactive protein are independently associated with DUSP6 levels in peripheral blood mononuclear cells of diabetic nephropathy patients undergoing peritoneal dialysis.High DUSP6 levels indicate a higher risk of adverse cardiovascular events.

Objective To explore the factors influencing the efficacy of conventional Western medicine treatment for patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),and to provide a basis for individualized clinical treatment.Methods 100 patients with AECOPD were prospectively included in this study,and all of them were given standard treatment plans according to the guidelines.After 3 months of follow-up observation,53 cases were evaluated as effective and included in the effective group;47 cases were evaluated as having no significant effect and included in the ineffective group.Differences in basic characteristics between the two groups in terms of age,duration of COPD,respiratory rate,lung function and consolidated malignancy were compared,and pre-treatment laboratory test indexes and blood gas analysis data were collected for comparison.Results There were significant differences between the two groups in terms of age,duration of COPD,respiratory rate,ratio of forced expiratory volume in one second to forced vital capacity(FEV1/FVC%),consolidated malignancy,hemoglobin,lymphocytes,C-reactive protein,glutamic-pyruvic transaminase and PaCO2(P<0.05).Univariate logistic regression analysis showed that older age,prolonged COPD duration,increased respiratory rate,decreased FEV1/FVC%,consolidated malignancy,decreased hemoglobin,decreased lymphocyte count,increased C-reactive protein,increased glutamic-pyruvic transaminase,increased lactate,and increased PaCO2 were risk factors for poor treatment outcome in AECOPD.Further multifactorial logistic regression analysis showed that age(P=0.007,OR=1.240),FEV1/FVC%(P=0.014,OR=0.757),hemoglobin(P=0.038,OR=0.954),lymphocyte count(P=0.007,OR=0.488),and lactate(P=0.002 OR=9.964)were independent risk factors affecting the efficacy of AECOPD treatment.ROC curve analysis showed that the AUCs for age,FEV1/FVC%,hemoglobin,lymphocyte count and lactate were 0.728[95%CI(0.627,0.829)],0.681[95%CI(0.576,0.785)],0.686[95%CI(0.582,0.790)],0.629[95%CI(0.520,0.737)]and 0.823[95%CI(0.744,0.902)],respectively,and the combined AUC of the five risk factors for predicting a poor AECOPD treatment outcome was 0.957[95%CI(0.923,0.991).Conclusion Age,FEV1/FVC%,hemoglobin,lymphocyte count and lactate are independent risk factors that influence the treatment outcome of AECOPD patients.The comprehensive analysis of these risk factors can predict the treatment effect of AECOPD more accurately,help clinicians adjust the treatment plan in time,and improve the treatment effect and prognosis.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

To address the issues in the current lung nodule detection for tuberculosis where the existing object detection algorithms have limited precision for small nodules and often predict bounding box locations inaccurately,a lung nodule detection method based on YOLOv7 is presented for obtaining small lung nodules more effectively and realizing the continuous convergence of target detection box.Based on the framework of YOLOv7 network model,the improvements are made in the following 3 aspects.(1)The cross-channel information and target airspace information are obtained with the effective SimAM channel attention mechanism embed in the Head network,so as to highlight the target features and enable the model to identify the regions of interest more accurately.(2)SIOU boundary loss function is used to increase the angle cost on the original loss function,and redefine the distance cost and shape cost to improve the convergence rate and reduce the loss value.(3)SIOU-NMS is used to replace the non-maximum suppression algorithm for reducing the error suppression due to target occlusion.The results of experiments on a custom lung nodule dataset show that compared with the original YOLOv7,the proposed method improves accuracy and recall rate by 2.9%and 3.1%,and the mean average precision at a confidence threshold of 0.5 is increased by 3.7%.The model can effectively assist in the diagnosis of lung nodules.

Objective:To observe the changes of serum micro-inflammatory and nutritional status in elderly peritoneal dialysis patients after treatment with bifidobacterium triple viable bacteria, and the impact of Bifidobacterium triple viable bacteria treatment on the endpoint.Methods:Totally 180 elderly patients receiving peritoneal dialysis were divided into control group and observation group, with 90 cases in each.Both groups were treated on the basis of the routine treatment, the observation group was treated with oral Bifidobacterium triple viable bacteria for twelve months.Before treatment, 6 months and 12 months after treatment, fasting venous blood from the patients in the two groups were collected in the morning.The levels of serum micro-inflammatory indexes[tumor necrosis factor-α(TNF-α), interleukin-6(IL-6), interleukin-8(IL-8), C-reactive protein(CRP)]were detected by ELISA.The nutritional status and dialysis adequacy indexes[nutritional status: albumin(ALB), hemoglobin(Hb), transferrin(TRF), prealbumin(PA), calcium ion, phosphorus ion; indicators of dialysis adequacy: serum creatinine(Scr), blood uric acid(BUA), blood urea nitrogen(BUN), cystatin C(Cys-c)levels]were detected by automatic blood biochemical analyzer.After 24 months of follow-up, the occurrence of endpoint events(peritonitis, abdominal pain, malnutrition, abdominal infection, cardiovascular and cerebrovascular accidents)in the two groups was recorded.Results:After 24 months of treatment, the levels of TNF-α, IL-6, IL-8 and CRP in the two groups were lower than those before treatment, and the observation group was lower than control group[(25.7±4.0)μg/L vs.(33.6±6.0)μg/L, (2.9±0.7)ng/L vs.(4.9±1.2)ng/L, (17.0±7.2)ng/L vs.(22.8±7.9)ng/L, (4.6±0.7)mg/L vs.(6.9±1.2)mg/L]( t=10.272, 13.134, 5.040, 15.575, respectively, P<0.05 for all). After 24 months of treatment, the levels of ALB, Hb, TRF, PA and calcium ion of the two groups were higher than before treatment, and the levels of phosphorus ion were lower than before treatment, and the changes of the above indicators in observation group were more obvious than those in the control group[(45.7±5.2)g/L vs.(39.8±4.9)g/L, (72.7±8.0)g/L vs.(68.6±9.0)g/L, (4.3±1.0)g/L vs.(3.0±0.6)g/L, (321.5±29.0)mg/L vs.(297.6±25.1)mg/L, (4.9±1.3)mmol/L vs.(2.9±0.9)mmol/L, (1.3±0.9)/L vs.(1.8±0.3 mmol/L)]( t=7.737, 3.213, 9.880, 5.9 00, 11.937, 4.415, P<0.05 for all). There was no significant difference in intestinal flora between the two groups before treatment( P>0.05). After 24 months, an increase was observed in Lactobacilli and Bifidobacteria in both groups, while Enterobacteria and Enterococcus in both groups were decreased, and the changes of the above indicators in the observation group were also more obvious than those in the control group[(8.4±0.9)IgCFU/g ratio(6.4±0.9)IgCFU/g, (8.8±1.3)IgCFU/g ratio(7.9±1.3)IgCFU/g, (7.1±0.9)IgCFU/g ratio(8.0±1.1)IgCFU/g, (5.4±0.7)IgCFU/g ratio(6.9±0.9)IgCFU/g]( t=14.248, 4.339, 5.825, 12.753, P<0.05 for all). There was no significant difference in dialysis adequacy index between the two groups before treatment( P>0.05 for all). After 24 months of treatment, the levels of Scr, BUA, BUN and Cys-C in both groups decreased, and those of the observation group were lower than those of the control group[(471.5±50.5)μmol/L vs.(623.3±62.6)μmol/L, (17.5±0.5)mmol/L vs.(20.6±1.8)mmol/L, (16.4 ± 3.0)mmol/L vs.(22.5±2.0)mmol/L, (1.9±0.5)mg/L vs.(3.0±0.7)mg/L]( t=17.877, 14.976, 15.842, 11.749, P<0.05 for all). The incidence of endpoint events in the observation group was significantly lower than that in the control group(12.2% vs.2.2%, t=6.574, P<0.05 for all). Conclusions:After the treatment of Bifidobacterium triple viable bacteria in elderly peritoneal dialysis patients, the micro-inflammatory state of the patients was reduced, the nutritional status was improved, and the incidence of endpoint events was low, and has high clinical promotion and application value.

OBJECTIVE To explore t he protective mechanism of Yangxin dingji capsules on the cardiomyocytes of diabetic cardiomyopathy（DCM）model golden hamsters. METHODS In this study ，golden hamsters were divided into control group （n＝ 10，no modeling ，no drug administration ），model group （n＝9，modeling，no drug administration ），TCM high-dose group [ n＝8， modeling，Yangxin dingji capsules 2 g/（kg·d）]，TCM low-dose group [ n＝8，modeling，Yangxin dingji capsules 1 g/（kg·d）] and empagliflozin group [ n＝9，positive control ，modeling，10 mg/（kg·d）]. All the golden hamsters were gavaged continuously for 8 weeks. The general conditions of golden hamsters were observed during the experiment. Blood glucose ，total cholesterol （TC）and creatine kinase MB （CK-MB），ejection fraction （EF），fractional shortening （FS），interleukin 1β（IL-1β）and transforming growth factor β1（TGF-β1）were detected ；the histopathological changes of myocardium were observed. mRNA and protein expression of nucleotide-binding oligomerization domain-like receptor protein 3（NLRP3），caspase-1，aspirin D （GSDMD），nuclear factor κB （NF-κB）and IL- 1β were detected and observed；DNA damage in myocardial was detected. RESULTS Compared with control group，the blood glucose ，TC，CK-MB，serum IL- 1β，TGF-β1 levels，the mRNA expressions and positive protein expression of NLRP 3，caspase-1，GSDMD，NF-κ B and IL-1 β and protein expression of GSDMD in golden hamsters were significantly increased in model group （P＜0.05 or P＜0.01） EF and FS were significantly decreased （P＜0.01）；the fibers of myocardial cells was disordered ， and the blue-stained collagen fibers between the myocardium increased ； DNA damaged positive cells in myocardial tiss ue of gold hamsters increased significantly. Compared with model group，the above indexes of administration groups were reversed to varying degrees ；the gap of myocardial cells were clear ，and the fibers disorder was improved ；the DNA damaged positive cells in the myocardial tissue were reduced to varying degrees. CONCLUSIONS Yangxin dingji capsule can inhibit the cardiomyocyte pyroptosis and relieve the inflammatory injury of DCM in DCM model golden hamsters by regulating the NLRP 3/caspase-1/GSDMD signaling pathway ，so as to protect the cardiomyocytes.