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.

Hormone-sensitive prostate cancer with visceral metastasis is a difficulty in clinical diagnosis and treatment. We treated a patient with hormone-sensitive prostate cancer with visceral metastasis and managed it under the multi-disciplinary treatment model (MDT). A 55-year-old man presented to the hospital complaining of increased prostate-specific antigen (PSA) found in the physical examination for 2 days. At admission, the PSA was 389.2ng/ml, and 68Ga-PSMA PET/CT showed metastatic malignant lesions of the prostate, with lymph node metastasis, lumbar vertebral metastases and liver tubercles. Transrectal prostate puncture biopsy: prostate adenocarcinoma, Gleason score of 4+ 5=9. The patient has no history of androgen deprivation therapy (ADT) and diagnosed as metastatic hormone-sensitive prostate cancer (mHSPC). Then the patient received total androgen blockade therapy (CAB regimen). After MDT discussion, metastatic prostate cancer was diagnosed based on the liver histopathology of percutaneous biopsy. After the second MDT discussion, the regimen was changed to abirone plus ADT. After 6 months, the blood PSA was controlled at a level between 0.003 to 0.006 ng/ml, and the testosterone was less than 2.5ng/dl. Re-examination of 68Ga-PSMA PET/CT showed that lower signal of radionuclide in all lesions, especially no more abnormal uptake lesions were identified in the liver.

Objective To compare the diagnostic differences for the detection of bone metastases between 68Ga-PSMA-617 PET/CT and 99Tcm-MDP bone scintigraphy in preliminary diagnosed prostate cancer patients.Methods Seventy-three patients who were diagnosed with prostate cancer by pathology were retrospectively analyzed from June 2017 to February 2018,and they all underwent both ss Ga-PSMA-617 PET/CT and 99Tcm-MDP bone scintigraphy without therapy beforehand.Mean age was 69.1 (range 40-88) years,the mean PSA level was 144.59 (range 5.62-1 260.00) ng/ml,and the Gleason score ranged 6-10.The patients were divided into two groups by whether or not had bone metastases according to the aforementioned two examinations.Both the sensitivity and specificity are calculated.The number of bone metastatic focus of the two examinations were also compared through the Wilcoxon rank testing.Results Thirty-two of 73 patients were diagnosed with bone metastases.68Ga-PSMA-617 PET/CT and 99Tcm-MDP detected 32 and 31 bone metastases,with the sensitivity of 100.0％ (32/32,95 ％ CI 89.1％-100.0％) and 90.6％ (29/32,95％ CI 75.0％-98.0％),the specificity of 100.0％ (41/41,95％ CI 91.4％-100.0％) and 95.12％ (39/41,95％ CI 83.5％-99.4％),and the AUC of 1.000 (95％ CI 0.951-1.00) and 0.929 (95％ CI 0.844-0.976),respectively.There was significant difference in AUC between the two methods(P =0.034).Two examinations exhibited significantly different number of metastatic sites (Z =-2.949,P =0.003).Conclusions 68 Ga-PSMA-617 PET/CT outperform 99Tcm-MDP bone scintigraphy for the detection of bone involvement in prostate cancer patients.It will be an important imaging supplement for prostate cancer patients and play an important role in term of the accurate treatment based on the more accurate evaluation.

Objective To compare the diagnostic efficacy of 68Ga-PSMA-617 PET/CT and multiparameter MRI in the diagnosis of primary tumors of newly diagnosed prostate cancer.and analyze the correlation between SUVmax and clinical parameters of prostate cancer.Methods A retrospective analysis of the clinical data of 104 patients with newly diagnosed prostate cancer who underwent 68Ga-PSMA-617 PET/CT and multi-parametric MRI from June 2017 to April 2018.The final pathological results were used as the gold standard for diagnosis.The age ranged from 42 to 89 years,with an average of (70.4 ± 8.9) years.The median total serum PSA was 18.44 (8.71,48.01)ng/ml.The pathological results were positive in 68 cases and negative in 36 cases.The sensitivity,specificity was calculated,the ROC curve was drawn and AUC value was calculated.The relationship between SUVmax value of prostate cancer and clinical parameters was analyzed.Results The sensitivity of 68Ga-PSMA-617 PET/CT was 95.59％ (65/68) and the specificity was 88.89％ (32/36);the sensitivity of MRI examination was 91.18％ (62/68) and the specificity was 63.89％ (23/36).There were statistical differences between the specificity of the two examination (P =0.012).The ROC curve of 68 Ga-PSMA-617 PET/CT was plotted and the AUC value was 0.954.Among the 104 suspected prostate cancer patients,the median SUVmax of benign prostatic tissue was 3.20(2.83,3.70),and the median SUVmax of prostate cancer tissue was 12.21 (7.48,17.46).Among 68 patients with prostate cancer,there were statistical differences between SUVmax values of prostate cancer tissues with different Gleason scores (P ＜ 0.01),ISUP group (P ＜ 0.01),risk grades (P =0.021),and SUVmax values.There was a positive correlation with Gleason score and ISUP group (r1 =0.7420,P＜0.01;r2 =0.754,P＜0.01).Conclusions The 68Ga-PSMA-617 PET/CT examination had higher diagnostic efficacy than the multiparametric MRI for prostate cancer.The higher the SUVmax value predict the higher grade and higher risk.

Objective To observe the effect of aerobics exercise on myocardial fibrosis after acute myocardial infarction (AMI) in rat.Methods Twenty-four AMI Sprague Dawley (SD) rats were randomly assigned to sham-operated group (Sham),AMI group and aerobics exercise treatment group (ET).Except Sham,other groups of rats were underwent anterior wall myocardial infarction.After ten weeks,the myocardial mRNA level of connective tissue growth factor (CTGF),collagen Ⅰ (COL1 a1),collagen Ⅲ (COL3a1) detected by real time-quantitative polymerase chain reaction (PCR) analysis and myocardial collagen volume fraction (CVF) was determined on Masson stained sections.Results Campared to Sham-operated group,AMI group the level of CTGF,COL1a1,COL3a1,and CVF were increased (P ＜0.05,P ＜ 0.01).Campared to AMI and ET groups,the levels of CTGF,COL1a1,COL3a1,and CVF were decreased (P ＜ 0.05,P ＜ 0.01).Conclusions Aerobics exercise can reduced the myocardial fibrosis after AMI in rat.

Objective To evaluate the feasibility of detecting macrophage content on atherosclerotic plaques by optical coherence tomography (OCT) technique.Methods Thirty New Zealand white rabbits were equally divided into 3 groups at random:Control group(fed normal rabbit chow,n =10);lipid diet group(fed regular chow supplemented with cholesterol,n =10)and balloon injury + lipid diet group (balloon catheter injury of the common carotid artery after 2 weeks lipid diet,n =10).After 12 weeks,all rabbits underwent pharmacological triggering with Chinese Russell's viper venom (CRVV,15 mg/kg,i.p.) and histamine (0.02 mg/kg,i.v.).Common carotid arteries were detected with OCT and the Movat pentachrome stain respectively.OCT and histological examination results were compared and the correlation was analyzed.Results The intra thickness measured by Movat pentachrome stain and by the OCT was (15.2 ± 0.9) μm and (20.2 ± 7.6) μm,the medial thickness was (434.2 ± 86.5) μm and (453.8 ± 87.2) μm,the plaque thickness was (330.2 ± 87.1) μm and (392.2 ± 134.5) μm,the fibrous cap thickness was (58.3 ± 5.6) μm and (61.2 ± 4.9) μm,respectively (all P ＞ 0.05).The normalized standard deviation of the OCT signal (NSD) was compared with immunohistochemical detection.The OCT signal within the cap is relatively homogeneous for low macrophage density in high lipid diet group.For the raw OCT data,a correlation of r =0.846 (P ＜ 0.01) was found between OCT NSD and a CD68 area ＜ 10％,whereas for the base 10 logarithm OCT data,a correlation of r =0.646 (P ＜ 0.05) was found between OCT NSD and a CD68 area ＜ 10％.In balloon injury + high lipid diet group,the OCT signal within the cap was relatively heterogeneous for high macrophage content.For the raw OCT data,a correlation of r =0.906 (P ＜ 0.01) was found between OCT NSD and a CD68 area ＞ 10％,whereas for the base 10 logarithm OCT data,a correlation of r =0.593 (P ＜0.05) was found between OCT NSD and a CD68 area ＞ 10％.For the raw OCT signal NSD,a range of NSDs (7.12％ to 7.35％) demonstrated 100％ sensitivity and specificity (Kappa value 1.0) for differentiating caps containing ＞ 10％ CD68 staining.For the base 10 logarithm OCT signal,NSD values ranging from 7.81％ to 7.92％ provided 70％ sensitivity and 75％ specificity (value 0.44) for identifying caps containing ＞ 10％ CD68 staining.Conclusions OCT is an effective tool to determine macrophage content in this model.OCT imaging can clearly visualize different types of atherosclerotic plaques and provide detailed information on plaque characteristics.