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.

Objective:To systematically review the medical decision-making for children with autism spectrum disorder (ASD) from the perspective of caregivers.Methods:It was a systematic review. Using search terms as “Autism”“loneliness disorder”“autism spectrum disorder”“parents”“caregiver”“medical decision making”, etc., qualitative studies on medical decision-making of ASD caregivers in the databases of PubMed, Web of Science, Cochrane Library, Embase, Scopus, CNKI.com, Wanfang Database, VIP database, and Chinese Biomedical Literature database were searched. The search was conducted from the inception of the databases to July 31, 2022, and the data was organized from August 1 to September 1, 2022. The literature quality was evaluated by two researchers according to the quality evaluation criteria for qualitative research at the Centre for Evidence-based Health Care, Joanna Briggs Institute, Australia. Pooled integration method was used to integrate the study results and evaluate the medical decision-making of children with ASD from the perspective of caregivers.Results:Seventeen studies were included, with two studies rated as quality grade A and fifteen studies rated as quality grade B. A total of 36 research findings were extracted. These findings were grouped into ten new categories based on similarities, which were further synthesized into three overarching results: the symptom-driven medical decision-making process, delays in medical decision-making due to individual, family, and societal factors, and the influence of personal experiences and multiple external pressures on medical decision-making.Conclusion:The factors that lead to the delay or promotion of medical decision of caregivers of children with ASD are complicated, and comprehensive intervention measures should be taken at individual, family and social levels to promote early medical diagnosis and intervention of the children with ASD.

Objective To explore the value of CT-derived fractional flow reserve(CT-FFR)and pericoronary fat attenuation index(FAI)combined with clinical and coronary CT angiography(CCTA)characteristics for predicting major adverse cardiovascular events(MACE)after aortic valve replacement(AVR).Methods Data of 139 patients with aortic stenosis who underwent AVR were retrospectively analyzed.According to occurrence of MACE or not during follow-up,the patients were divided into MACE group and non-MACE group.Cox proportional hazard regression was used to analyze clinical and CCTA data,as well as CT-FFR and FAI to screen independent predictors of MACE after AVR,and nested models based on clinical data,CCTA characteristics,CT-FFR and right coronary artery(RCA)FAI were constructed.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)and Harrell C index(C-index)were calculated to assess the diagnostic efficacy of each model,and their goodness of fit were evaluated.Results There were 22 cases in MACE group and 117 in non-MACE group.CT-FFR(HR=3.683)and RCA-FAI(HR=3.261)were both independent predictors of MACE in patients after AVR.The AUC of clinical model,modelclinical+CCTA,modelclinical+CCTA+CT-FFR and modelclinical+CCTA+CT-FFR+RCA-FAI was 0.636,0.730,0.758 and 0.817,and the C-index was 0.614,0.707,0.733 and 0.782,respectively.The predicted results of modelclinical+CCTA+CT-FFR+RCA-FAI were most consistent with actual results,with the best goodness of fit.Conclusion CT-FFR and RCA-FAI combined with clinical and CCTA characteristics could effectively predict MACE in patients after AVR.

Objective To analyze the current situation of human resources in county-level specialized disease prevention and control institutions in Guangdong Province in 2022 and propose countermeasures.Methods Analyze the human resources situation of specialized disease prevention and control personnel in counties in Guangdong Province based on their basic informa-tion such as staffing,age,professional title,and income level.Results The education level of county-level specialized disease prevention and control personnel in Guangdong Province is mainly undergraduate(42.60％),the technical title is mainly inter-mediate or below(84.08％),and the age is mainly over 45 years old(39.58％);Comparative analysis was conducted on the education and professional titles of specialized disease prevention and control personnel in counties in the Pearl River Delta,east-ern Guangdong,western Guangdong,and northern Guangdong regions,and the differences were statistically significant(x2=733.751,P＜0.001;x2=142.048,P＜0.001).Conclusion The human resources for specialized disease prevention and control in counties in Guangdong Province are facing problems such as talent shortage,aging of personnel,low academic qualifi-cations and titles,and insufficient financial investment.It is recommended to formulate a scientific and reasonable talent develop-ment plan,attach importance to and strengthen the construction of specialized disease prevention and control talent teams.

Objective To analyze the current situation of human resources in county-level specialized disease prevention and control institutions in Guangdong Province in 2022 and propose countermeasures.Methods Analyze the human resources situation of specialized disease prevention and control personnel in counties in Guangdong Province based on their basic informa-tion such as staffing,age,professional title,and income level.Results The education level of county-level specialized disease prevention and control personnel in Guangdong Province is mainly undergraduate(42.60％),the technical title is mainly inter-mediate or below(84.08％),and the age is mainly over 45 years old(39.58％);Comparative analysis was conducted on the education and professional titles of specialized disease prevention and control personnel in counties in the Pearl River Delta,east-ern Guangdong,western Guangdong,and northern Guangdong regions,and the differences were statistically significant(x2=733.751,P＜0.001;x2=142.048,P＜0.001).Conclusion The human resources for specialized disease prevention and control in counties in Guangdong Province are facing problems such as talent shortage,aging of personnel,low academic qualifi-cations and titles,and insufficient financial investment.It is recommended to formulate a scientific and reasonable talent develop-ment plan,attach importance to and strengthen the construction of specialized disease prevention and control talent teams.

OBJECTIVE To investigate the effects of pharmacological inhibition of STING by C-176,a STING selective inhibitor,in experimental model of Parkinson's disease.METHODS The acute and sub-acute mice mod-els of Parkinson's disease(PD)were established by in-traperitoneal injection of 1-methyl-4-(2′-methylphenyl)-1,2,3,6-tetrahydrophine(MPTP).The selective STING inhibitor C-176 was administered by intraperitoneal injec-tion.The potential neuroprotective effects of C-176 were evaluated by behavioral test,tyrosine hydroxylase(TH)immunostaining,Nissl staining,Western blotting,qPCR and immunofluorescence.For in vitro study,the effects of C-176 on LPS/MPP+-induced inflammatory responses in BV2 microglial cells were determined by real time RT-PCR and Western blotting analysis.RESULTS Our study revealed that C-176 significantly inhibited STING signaling activation,ameliorated MPTP-induced dopami-nergic neurotoxicity,motor deficit and associated neuroin-flammation.Furthermore,pharmacological inhibition of STING in BV2 microglia treated with LPS/MPP+ exhibited decreased inflammatory responses.More importantly,C176 also reduced NLRP3 inflammasome activation both in vitro and in vivo.CONCLUSION The results of our study suggest that pharmacologic inhibition of STING protects against neuroinflammation that may act at least in part through suppressing NLRP3 inflammasome acti-vation and thus ameliorated dopaminergic neurodegener-ation.STING signaling may holds great promise for the development of new treatment strategy for PD as an effective therapeutic target.