Prostate cancer (PCa) is one of the major men’s malignancies with high mortality worldwide. Circular RNAs (circRNAs) have been shown to serve as essential regulators in human cancers. CircRNA can exert their functions by cooperating with their host genes. In the present study, microarray analysis revealed an upregulated mRNA in PCa samples. X-linked inhibitor of apoptosis protein (XIAP), a key regulator in the progression of human cancers. Through bioinformatics analysis, we determined that XIAP is a host gene for circRNA0005276. Therefore, this study focused on the interaction between circ0005276 and XIAP as well as their functions in PCa progression. The upregulation of XIAP and circ0005276 was determined in PCa tissues and cell lines. Moreover, we confirmed the positive regulation of circ0005276 on XIAP expression. Functionally, we validated that circ0005276 and XIAP promoted cell proliferation, migration and epithelial–mesenchymal transition. Mechanistically, we verified that circ0005276 interacted with FUS binding protein (FUS) so as to activate the transcription of XIAP. Rescue assays were conducted to determine the crucial role of XIAP in circ0005276 and FUS-mediated PCa cellular processes. Collectively, our study revealed the mechanism and function of circ0005276 and its host gene XIAP in PCa progression.
Background: 24-h urine collection is regarded as the “gold standard” for monitoring sodium intake at the population level, but ensuring high quality urine samples is difficult to achieve. The Kawasaki, International Study of Sodium, Potassium, and Blood Pressure (INTERSALT) and Tanaka methods have been used to estimate 24-h urinary sodium excretion from spot urine samples in some countries, but few studies have been performed to compare and validate these methods in the Chinese population. Objective: To compare and validate the Kawasaki, INTERSALT and Tanaka formulas in predicting 24-h urinary sodium excretion using spot urine samples in 365 high-risk elder patients of strokefrom the rural areas of Shaanxi province. Methods: Data were collected from a sub-sample of theSalt Substitute and Stroke Study. 365 high-risk elder patients of stroke from the rural areas of Shaanxi province participated and their spot and 24-h urine specimens were collected. The concentrations of sodium, potassium and creatinine in spot and 24-h urine samples wereanalysed. Estimated 24-h sodium excretion was predicted from spot urine concentration using the Kawasaki, INTERSALT, and Tanaka formulas. Pearson correlation coefficients and agreement by Bland-Altman method were computed for estimated and measured 24-h urinary sodium excretion. Results: The average 24-h urinary sodium excretion was 162.0 mmol/day, which representing a salt intake of 9.5 g/day. Three predictive equations had low correlation with the measured 24-h sodium excretion (r = 0.38, p < 0.01; ICC = 0.38, p < 0.01 for the Kawasaki; r = 0.35, p < 0.01; ICC = 0.31, p < 0.01 for the INTERSALT; r = 0.37, p < 0.01; ICC = 0.34, p < 0.01 for the Tanaka). Significant biases between estimated and measured 24-h sodium excretion were observed (all p < 0.01 for three methods). Among the three methods, the Kawasaki method was the least biased compared with the other two methods (mean bias: 31.90, 95% Cl: 23.84, 39.97). Overestimation occurred when the Kawasaki and Tanaka methods were used while the INTERSALT method underestimated 24-h sodium excretion. Conclusion: The Kawasaki, INTERSALT and Tanaka methods for estimation of 24-h urinary sodium excretion from spot urine specimens were inadequate for the assessment of sodium intake at the population level in high-risk elder patients of stroke from the rural areas of Shaanxi province, although the Kawasaki method was the least biased compared with the other two methods.
Objective: To explore the association between dietary Na intake and non-alcoholic fatty liver disease (NAFLD) in a nationally representative sample of the US population. Design: In this cross-sectional study, the associations between Na intake and NAFLD, defined by the hepatic steatosis index (HSI) and the fatty liver index (FLI), were assessed through multivariable logistic regression models. Setting: Communities in the USA from 2007 to 2014. Participants: Men and women aged 20 years and older. Results: A total of 11 022 participants were included in the HSI-defined NAFLD analysis, and a subsample of 5320 participants was included in the FLI-defined NAFLD analysis. Compared with the lowest quartile of Na intake, the highest quartile had a multivariate-adjusted OR and 95 % CI of 1·46 (1·29, 1·65) for NAFLD as defined by HSI, and 1·41 (1·18, 1·69) for NAFLD as defined by FLI. This association was, to some degree, attenuated but remained significant after adjusting for several related metabolic parameters, including BMI, hypertension, hypercholesterolaemia, and diabetes. Conclusions: Findings from the current study indicate that dietary Na intake is positively associated with NAFLD in US adults.
Background: Malnutrition is associated with poor prognosis in a wide range of chronic illnesses, however, the impact of malnutrition on long-term outcomes of patients at advanced stages of atherosclerosis, coronary chronic artery occlusion (CTO), is not known. Aims: This study aims to investigate the relationship between malnutrition and adverse cardiovascular events in patients with CTO after percutaneous coronary intervention (PCI). Methods: Baseline malnutrition risk was determined in 669 patients with CTO after PCI in this study. All patients were divided into 3 groups according to 3 categories of the geriatric nutritional risk index (GNRI): moderate to severe, GNRI of <92 (n ¼ 70); low, GNRI of 92e98 (n ¼ 197); and absence of risk, GNRI of !98 (n ¼ 402). The primary endpoint was all-cause mortality and the secondary endpoint was major adverse cardiovascular events (MACE). Results: Average age in this study was 65.32 ± 9.97 years old. More than one-third of patients were at risk of malnutrition (moderate to severe: 10.5%; low: 29.4%; and absence of risk: 60.1%). Over a median follow-up of 33 months, compared to those with absent risk for malnutrition, moderate to severe risk was associated with significantly increased risk for the all-cause death, cardiovascular death and MACE (hazard ratio [HR]: 2.90, 95% confidence interval [CI]: 1.43 to 5.87, P for trend ¼ 0.002; HR: 3.72, 95% CI: 1.42 to 9.77, P for trend ¼ 0.010; HR: 1.76, 95% CI: 1.02 to 3.03, P for trend ¼ 0.040; respectively) after adjustment for baseline variables. Moreover, addition of the GNRI score significantly raised the predictive value for the all-cause death (0.383, p ¼ 0.004 and 0.022, p ¼ 0.011, NRI and IDI respectively), cardiovascular death (0.488, p < 0.001 and 0.013, p ¼ 0.014, NRI and IDI respectively) and MACE (0.368, p ¼ 0.004 and 0.014, p ¼ 0.008, NRI and IDI respectively) as compared to traditional factors. Conclusions: Malnutrition assessed by the GNRI score on admission was an independent predictor for adverse cardiovascular events in CTO patients after PCI. Addition of the GNRI score to the existing risk prediction model significantly increased the predictive ability for cardiovascular events in CTO patients after PCI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.