Exploring the association between dietary vitamin A and coronary artery disease risk in men and women: findings from a US population study.

Introduction: Coronary artery disease (CAD) is an important public health problem with negative impacts on individual health and socioeconomics. Studies on the relationship of dietary vitamin A (DVA) to CAD are limited and conflicting. The purpose of this study was to investigate the relationship between DVA and the prevalence of CAD in U.

Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study.

Background: As a new obesity-related index, the weight-adjusted-waist index (WWI) appears to be a good predictor of cardiovascular disease (CVD) in East Asian populations. This study aimed to validate the association between WWI and CVD in United States (US) adults and also evaluate its relationships with the prevalence of specific CVDs.

Methods: The data were obtained from the 2009-2016 National Health and Nutrition Examination Survey.

Solving the Zero-Sum Control Problem for Tidal Turbine System: An Online Reinforcement Learning Approach.

A novel completely mode-free integral reinforcement learning (CMFIRL)-based iteration algorithm is proposed in this article to compute the two-player zero-sum games and the Nash equilibrium problems, that is, the optimal control policy pairs, for tidal turbine system based on continuous-time Markov jump linear model with exact transition probability and completely unknown dynamics. First, the tidal turbine system is modeled into Markov jump linear systems, followed by a designed subsystem transformation technique to decouple the jumping modes. Then, a completely mode-free reinforcement learning algorithm is employed to address the game-coupled algebraic Riccati equations without using the information of the system dynamics, in order to reach the Nash equilibrium.

LncRNA GAS5 inhibits NLRP3 inflammasome activation-mediated pyroptosis in diabetic cardiomyopathy by targeting miR-34b-3p/AHR.

Long noncoding RNA GAS5 is down-regulated in cardiomyocytes in diabetic cardiomyopathy (DCM). Here, we studied the involvement of GAS5 in DCM by analyzing its expression in DCM mouse model and cardiac muscle cell line (HL-1 cells). Compared with normal mice, GAS5 was severely down-regulated in heart tissues of DCM mice.

Efficacy and safety of sacubitril-valsartan in heart failure: a meta-analysis of randomized controlled trials.

Aims: Sacubitril-valsartan has been shown to have superior effects over angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in patients with heart failure (HF) and hypertension. The efficacy and safety of sacubitril-valsartan in patients with HF are controversial. We performed a meta-analysis of randomized controlled trials to assess and compare the effect and adverse events of sacubitril-valsartan, valsartan, and enalapril in patients with HF.

Prognostic role of neutrophil-to-lymphocyte ratio in aortic disease: a meta-analysis of observational studies.

Objective: Recent studies have reported that neutrophil-to-lymphocyte ratio (NLR) is associated with cardiovascular disease. The aim of the present study was to investigate the prognostic value of NLR in aortic disease.

Methods: We systematically searched electronic databases (Cochrane, PubMed, Elsevier, Medline, and Embase) from their inception to March 2020.

Role of heat shock protein 22 in the protective effect of geranylgeranylacetone in response to oxidized-LDL.

Objective: The aim was to investigate the role and potential mechanism of geranylgeranylacetone (GGA) in the development of atherosclerosis, and to explore the role of heat shock protein 22 (HSP22) in mediating GGA effect.

Methods: Human coronary artery endothelial cell (HCAEC) was used for in vitro study. RNA interference was applied to suppress HSP22 in the cells.

Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach.

This paper studies the online adaptive optimal controller design for a class of nonlinear systems through a novel policy iteration (PI) algorithm. By using the technique of neural network linear differential inclusion (LDI) to linearize the nonlinear terms in each iteration, the optimal law for controller design can be solved through the relevant algebraic Riccati equation (ARE) without using the system internal parameters. Based on PI approach, the adaptive optimal control algorithm is developed with the online linearization and the two-step iteration, i.

Atorvastatin downregulates HSP22 expression in an atherosclerotic model in vitro and in vivo.

One of the pathological functions of heat shock protein 22 (HSP22) is the association with inflammatory diseases and atherosclerosis. However, the effects of a high‑fat diet (HFD) or oxidized low‑density lipoprotein (ox‑LDL) combined with atorvastatin (ATV) on HSP22 expression are entirely unknown. The present study investigated the effects of ATV on HSP22 expression in HFD‑induced atherosclerotic apolipoprotein E‑deficient (ApoE‑/‑) mice and in ox‑LDL‑induced human umbilical vein endothelial cells (HUVECs).

Network evolution model for supply chain with manufactures as the core.

Building evolution model of supply chain networks could be helpful to understand its development law. However, specific characteristics and attributes of real supply chains are often neglected in existing evolution models. This work proposes a new evolution model of supply chain with manufactures as the core, based on external market demand and internal competition-cooperation.

A network-based method for mechanistic investigation of Shexiang Baoxin Pill's treatment of cardiovascular diseases.

Shexiang Baoxin Pill (SBP), a traditional Chinese medicine formula, is commonly used to treat cardiovascular disease (CVD) in China. However, the complexity of composition and targets has deterred our understanding of its mechanism of action. Using network pharmacology-based approaches, we established the mechanism of action for SBP to treat CVD by analyzing protein-protein interactions and pathways.

Prediction of Links and Weights in Networks by Reliable Routes.

Link prediction aims to uncover missing links or predict the emergence of future relationships from the current network structure. Plenty of algorithms have been developed for link prediction in unweighted networks, but only a few have been extended to weighted networks. In this paper, we present what we call a "reliable-route method" to extend unweighted local similarity indices to weighted ones.

Analysis of Cynandione A's Anti-Ischemic Stroke Effects from Pathways and Protein-Protein Interactome.

Ischemic stroke is the third leading cause of death in the world. Our previous study found that cynandione A (CYNA), the main component from the root of Cynanchum bungei, exhibits anti-ischemic stroke activity. In this work, we investigated the therapeutic mechanisms of CYNA to ischemic stroke at protein network level.

Degree-adjusted algorithm for prioritisation of candidate disease genes from gene expression and protein interactome.

Computational methods play an important role in the disease genes prioritisation by integrating many kinds of data sources such as gene expression, functional annotations and protein-protein interactions. However, the existing methods usually perform well in predicting highly linked genes, whereas they work quite poorly for loosely linked genes. Motivated by this observation, a degree-adjusted strategy is applied to improve the algorithm that was proposed earlier for the prediction of disease genes from gene expression and protein interactions.

Bioinformatics analysis for the antirheumatic effects of huang-lian-jie-du-tang from a network perspective.

Huang-Lian-Jie-Du-Tang (HLJDT) is a classic TCM formula to clear "heat" and "poison" that exhibits antirheumatic activity. Here we investigated the therapeutic mechanisms of HLJDT at protein network level using bioinformatics approach. It was found that HLJDT shares 5 target proteins with 3 types of anti-RA drugs, and several pathways in immune system and bone formation are significantly regulated by HLJDT's components, suggesting the therapeutic effect of HLJDT on RA.