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 To explore the value of combined detection of serum pyruvate dehydrogenase kinase isoenzyme 4(PDK4),2,4-dienoyl coenzyme A reductase 1(DECR1)and matrix metalloproteinase 1(MMP1)in the diagnosis,clinical grading and prognosis of diabetes cardiomyopathy(DCM).Methods A sum of 26 patients with diabetes cardiomyopathy(DCM group)and 120 patients with diabetes non cardiomyopathy(control group)who were admitted to Shaanxi Provincial People's Hospital from October 2021 to October 2023 were selected.The expression levels of PDK4,DECR1 and MMP1 proteins in serum were measured by enzyme-linked immunosorbent assay(ELISA)to evaluate the diagnostic value of these three detection indicators in DCM.Results Compared with the Control group,the levels of serum PDK4(131.38±10.20 pg/ml vs 82.69±8.17 pg/ml),DECR1(152.06±12.57 pg/ml vs 86.14±9.55 pg/ml)and MMP1(40.27±4.02 μg/ml vs 17.77±0.98 μg/ml)protein in the diabetes cardiomyopathy(DCM)group were significantly higher,and the differences were statistically significant(t=36.24,47.63,12.29,all P＜0.001).In the DCM group,the protein expression levels of serum PDK4,DECR1 and MMP1 were correlated with NYHA cardiac function grading,while the protein expression levels were significantly increased with the grade increasing,and the differences between the groups were statistically significant(F=24.12,30.04,12.66,all P＜0.001).In the DCM group,compared with the mild group,the expression levels of serum PDK4(164.92±1.35pg/ml vs 122.48±8.78pg/ml),DECR1(192.17±9.11pg/ml vs 124.36±10.83pg/ml)and MMP1(84.44±7.38 μg/ml vs 39.41±3.05 μ g/ml)proteins were significantly increased in patients with moderate to severe illness,and the differences were statistically significant(t=26.33,47.12,15.41,all P＜0.001).The accuracy(x2=18.23,21.37,22.07),specificity(x2=9.72,13.43,15.12)and sensitivity(x2=12.07,16.07,17.55)of serum PDK4,DECR1 and MMP1 were significantly higher than those of single Test(all P＜0.05),the results of ROC curve analysis showed that the AUC of combined detection was 0.955,which was significantly higher than that of single detection(Z=16.67,17.09,20.44,all P＜0.05).Conclusion Serum PDK4,DECR1 and MMP1 are related to the diagnosis,clinical grading and prognosis of diabetes cardiomyopathy.The combined detection of the three is helpful to the differential diagnosis of diabetes cardiomyopathy.

Objective:To assess the effects of low temperature environment on skeletal and serum metabolites, and explore underlying mechanism.Methods:C57BL/6J mice were divided into normal temperature control group(control group) and intermittent low temperature exposure group(low temperature group). After 12 weeks of intervention, Micro-computed tomography(CT) was used to detect the bone microstructure. The mouse femur was stained by hematoxylin-eosin(HE) staining, tartrate-resistant acid phosphase(TRAP) staining, and type Ⅰ collagen staining. The serum metabolites were detected by liquid chromatography-mass spectrometry(LC-MS), comprehensive principal component analysis and random forest were used to identify potential biomarkers influencing bone metabolism in serum samples, and the metabolic pathways affecting bone metabolism were enriched through metabolic database analysis.Results:Micro-CT results showed that compared to the control group, the bone mineral density, bone volume/tissue volume, trabecular thickness, and trabecular number decreased(all P<0.05) in low temperature group of mice, while trabecular separation and bone surface/bone volume ratio increased(both P<0.05). The staining results of HE indicated that, compared with the control group, low temperature group exhibited disordered bone trabecular space structure, widened gaps, reduced unit area, and the presence of numerous adipose vacuoles. TRAP staining suggested that compared to the control group, low temperature group had an increased number of osteoclasts. The results of type Ⅰ collagen staining showed that the number of type Ⅰ collagen in the low temperature group was lower than that in the control group, and the structure was disordered. On the other hand, metabolomics identified 40 metabolites in serum, including deoxycholic acid, methionine, bilirubin, and salicylic acid, which are involved in lipid metabolism and amino acid metabolism. Conclusion:Low temperature leads to decreased bone mass, which may be related to the regulation of lipid metabolism and amino acid metabolism.

Objective:To evaluate the safety and efficacy of the domestic robotic surgical system for general surgery.Methods:A prospective single-center, single-arm exploratory study was conducted at Gansu Provincial People's Hospital from Jun 2022 to Oct 2023, enrolling 54 patients undergoing general surgery using domestically produced Toumai? Endoscopic Surgical Robotic System. The primary study endpoint was surgical success rate, and the secondary study endpoints were intraoperative bleeding, operative time, complications, system performance, hospitalization days.Results:In this study, robotic surgery was successfully completed in 52 patients, and in 2 patients undergoing thyroid operation it was converted to open surgery due to bleeding, with a success rate of 96%, no organ injury or death during surgery, and no system failure. The types of surgery included cholecystectomy, radical gastric cancer resection, radical colorectal cancer resection, inguinal hernia repair, partial hepatectomy, total thyroidectomy and choledocho-jejunal anastomosis.Conclusion:The study provides preliminary evidence of the safety and efficacy of the Toumai? Endoscopic Surgical Robotic System for the treatment of general surgical diseases.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

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.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

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.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

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.