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1.
Chinese Journal of Anesthesiology ; (12): 807-812, 2022.
Article in Chinese | WPRIM | ID: wpr-957523

ABSTRACT

Objective:To evaluate the relationship between preoperative levels of serum uric acid (SUA) and postoperative delirium (POD).Methods:Seven hundred and fifty patients of either sex, aged 50-90 yr, with American Society of Anesthesiologists physical status Ⅰ or Ⅱ, scheduled for elective knee replacement under spinal-epidural anesthesia, were selected.Venous blood samples were collected before anesthesia and levels of SUA were determined by enzyme-coupled assay.L 3-4 was selected as the puncture space, and the cerebrospinal fluid (CSF) specimens were obtained from the subarachnoid space for determination of concentrations of β-amyloid 42, total tau (t-tau) and phosphorylated tau (p-tau) by enzyme-linked immunosorbent assay.The patients were divided into hyperuric acid group (group HS) and non-hyperuric acid group (group NS) according to clinical diagnostic criteria of hyperuricemia, and into POD group (group POD) and non-POD group (group NPOD) according to the occurrence of POD.Logistic regression was used to identify the risk factors for POD.The mediating effect of CSF biomarkers was analyzed.The efficacy of SUA and CSF biomarker concentrations in predicting POD was evaluated using the receiver operating characteristic curve. Results:A total of 699 patients were finally enrolled in the study, and the incidence of POD was 21.5%.The results of logistic regression analysis after adjusting for multiple confounding factors, such as age, sex, years of education, Mini-Mental State Examination score, smoking history, drinking history, hypertension and diabetes history, showed that increased concentrations of SUA and p-tau and t-tau in CSF were risk factors for POD ( P<0.05). The results of mediation analysis showed that the concentrations of p-tau and t-tau in CSF were the mediating factors of the relationship between SUA and POD, with mediating effects of 0.000 301 (95% confidence interval 0-0.000 152) and 0.000 236 (95% confidence interval 0-0.000 092), respectively, and the intermediary proportion were 14.9% and 11.7%, respectively.The area under the receiver operating characteristic curve of SUA in predicting POD was 0.774 ( P<0.05). Conclusions:Increased preoperative SUA is a risk factor for POD, and the accuracy of predicting POD is high, and concentrations of p-tau and t-tau in CSF are mediators of SUA affecting POD.

2.
Yonsei Medical Journal ; : 1013-1020, 2019.
Article in English | WPRIM | ID: wpr-762059

ABSTRACT

PURPOSE: Effective biomarkers and models are needed to improve the prognostic prospects of clear cell renal cell carcinoma (ccRCC). The purpose of this work was to identify DNA methylation biomarkers and to evaluate the utility of DNA methylation analysis for ccRCC prognosis. MATERIALS AND METHODS: An overview of genome-wide methylation of ccRCC tissues derived from The Cancer Genome Atlas (TCGA) database was download for analysis. DNA methylation signatures were identified using Cox regression methods. The potential clinical significance of methylation biomarkers acting as a novel prognostic markers was analyzed using the Kaplan-Meier method and receiver operating characteristic (ROC) curves. RESULTS: This study analyzed data for 215 patients with information on 23171 DNA methylation sites and identified a two-DNA methylation signature (cg18034859, cg24199834) with the help of a step-wise multivariable Cox regression model. The area under the curve of ROCs for the two-DNA methylation signature was 0.819. The study samples were stratified into low- and high-risk classifications based on an optimal threshold, and the two groups showed markedly different survival rates. Moreover, the two-DNA methylation marker was suitable for patients of varying ages, sex, stages (I and IV), and histologic grade (G2). CONCLUSION: The two-DNA methylation signature was deemed to be a potential novel prognostic biomarker of use in increasing the accuracy of predicting overall survival of ccRCC patients.


Subject(s)
Humans , Biomarkers , Carcinoma, Renal Cell , Classification , DNA Methylation , Genome , Methods , Methylation , Prognosis , ROC Curve , Survival Rate
3.
Chinese Journal of Pathophysiology ; (12): 1850-1854, 2014.
Article in Chinese | WPRIM | ID: wpr-458141

ABSTRACT

AIM:To investigate the effects of seipin gene deficiency on renal injury and the possible mecha-nisms in seipin-/-mice.METHODS:Six-month-old male seipin knockout ( seipin-/-) and wild-type ( WT) mice ( n=8) were used to study 24 h urinary albumin excretion ( UAE) , renal functions, pathological changes, and plasma leptin and adiponectin levels.Seipin mRNA expression in different tissues and each part of the kidney was also measured in WT mice.RESULTS:Real-time PCR analysis showed seipin mRNA expression in WT mice was higher in adipose tissue and testicles, and was also found in the kidney, which was mainly in glomeruli.Compared with control group, seipin-/-group showed increased kidney weight/tibia length (P<0.01), 24 h UAE (P<0.01), creatinine clearance (P<0.01), and glomerular and mesangial surface area (P<0.05).Both plasma leptin (P<0.01) and adiponectin (P<0.05) levels were significantly decreased in seipin-/-mice.CONCLUSION:Seipin gene deficiency in mice leads to renal injury prob-ably by decreasing plasma leptin and adiponectin levels due to lack of adipose tissue.

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