Objective:This study aims to analyze the differences in the alternative splicing pattern of ADAR2 among glioma cell lines U87, U251, A172, and normal human astrocyte HA1800. Methods:A-to-I editing level at the Q/R-Site of GluR-2 was analyzed by RT-PCR and sequencing. Real-time PCR was performed to detect the expression level of each alternatively splicing variant using a specific primer that was confirmed to amplify only the targeted template and not other alternatively spliced variant fragments. Results:We verified that the Q/R-Site of GluR-2 is under-edited in glioma cell lines. Real-time PCR revealed that the ADAR2 pre-mRNA splic-ing pattern has no significant difference at exons 1a and 2 between glioma cell lines and normal human astrocyte. We also detected that the amount of alternative splicing variants, including exon 5a, was higher than that of alternative splicing variants not including exon 5a in human glioma cell lines. However, the expression of alternative splicing variants, including exon 5a, was lower than that of alterna-tive splicing variants not including exon 5a in human astrocyte. Conclusion:Evident differences in splicing were observed at the site of exon 5a between glioma cell lines and normal human astrocytes. The difference in the alternatively splicing pattern at exon 5a may be attributed to the decreased activity of ADAR2.

Combined with a case, the mechanical analysis and clinical application of micro-implant combining with utility arch were introduced in this paper.
Humans ; Maxilla ; Molar ; Orthodontic Appliance Design ; Orthodontic Wires ; Tooth Movement Techniques

Regional medical alliances help distribute high-quality medical resources to primary healthcare institutions.Under the guidance of " Internet-plus Healthcare" and " Hierarchical Medical System"policies, pharmacists are also exploring new management approaches for discharged patients with chronic diseases.The authors developed a Chronic Care Management(CCM)platform based on mobile App Yi Xing, and carried out full-range CCM for discharged patients in cooperation with pharmacists within the alliance. This CCM practice can contribute to an innovative transformation of pharmaceutical care, deliver high-quality pharmaceutical care to primary institutions, improve patients adherences and efficacy of medication, reduce adverse reactions, and save costs.

Objective: Accumulating evidence has shown that aberrant alternative splicing events are closely associated with the onset and development of cancer. However, whether genetic variants-associated alternative splicing is linked to risk of endometrial cancer remains largely uncertain. Methods: We identified single nucleotide polymorphisms (SNPs) locates in the splicing number trait locus (sQTL) of endometrial cancer using the CancerSplicing QTL database. In parallel with bioinformatics analysis, we conducted a case-control study comprising 2,000 cases and 2,013 controls to assess the association between identified SNP which possesses mRNA splicing function and endometrial cancer susceptibility. Furthermore, we used the Kaplan-Meier Plotter, The Human Protein Atlas, SPNR, and Spliceman2 databases for sQTL and differential gene expression analyses to identify the genetic variant which most potentially influence the risk of endometrial cancer through alternative splicing to reveal the potential mechanism by which candidate SNPs regulate the risk of endometrial cancer. Results: The results indicated that SNP rs7128029 AConclusion These findings suggest that SNP rs7128029-mediated alternative splicing events in PSMD13 are associated with endometrial cancer risk and may be a potential early screening biomarker for endometrial cancer-susceptible populations.

Objective:To analyze the immune response in mice after immunization with vaccine of rAd5F35-SIVenvT in combination with rMVA-SIVenvT to evaluate the efficacy of different immunization strategies.Methods:Two recombinant viruses were identified in vitro by PCR and Western blot. The BALB/c mice were immunized with homologous and heterologous immune strategies. The numbers of splenic lymphocytes secreting IFN-γ were measured by ELISPOT assay, meanwhile SIV gp120 antibody titer were measured by ELISA assay. Results:SIVenvT protein was expressed effectively by rAd5F35-SIVenvT and rMVA-SIVenvT in HEK293 cells. The specific immune response reached its peak at 4-week post first immunization, then decreased. SIV Env specific cellular immune response and SIV gp120 specific antibody could be detected at 4-16 weeks post first immunization. The specific cellular response was significant stronger in heterologous immunization group than homologous group at 4 week and 16 week. Furthermore, heterologous immunization induced significant higher titer of SIV gp120 antibody at 4 week than homologous group.Conclusions:Specific immune response induced by rAd5F35-SIVenvT in combination with rMVA-SIVenvT was stronger than homologous vector immunization. The results provided references for further study in nonhuman primates.

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.