Liguo Jian

A modification and inducing endothelial cell inflammatory response as well as atherosclerotic plaque formation. Decreased expression of METTL14 can inhibit endothelial inflammation and atherosclerosis development. Therefore, METTL14 may serve as a potential target for the clinical treatment of atherosclerosis.

The prevalence of cardiomyopathy is higher in diabetic patients than those without diabetes. Diabetic cardiomyopathy (DCM) is defined as a clinical condition of abnormal myocardial structure and performance in diabetic patients without other cardiac risk factors, such as coronary artery disease, hypertension, and significant valvular disease. Multiple molecular events contribute to the development of DCM, which include the alterations in energy metabolism (fatty acid, glucose, ketone and branched chain amino acids) and the abnormalities of subcellular components in the heart, such as impaired insulin signaling, increased oxidative stress, calcium mishandling and inflammation. There are no specific drugs in treating DCM despite of decades of basic and clinical investigations. This is, in part, due to the lack of our understanding as to how heart failure initiates and develops, especially in diabetic patients without an underlying ischemic cause. Some of the traditional anti-diabetic or lipid-lowering agents aimed at shifting the balance of cardiac metabolism from utilizing fat to glucose have been shown inadequately targeting multiple aspects of the conditions. Peroxisome proliferator-activated receptor α (PPARα), a transcription factor, plays an important role in mediating DCM-related molecular events. Pharmacological targeting of PPARα activation has been demonstrated to be one of the important strategies for patients with diabetes, metabolic syndrome, and atherosclerotic cardiovascular diseases. The aim of this review is to provide a contemporary view of PPARα in association with the underlying pathophysiological changes in DCM. We discuss the PPARα-related drugs in clinical applications and facts related to the drugs that may be considered as risky (such as fenofibrate, bezafibrate, clofibrate) or safe (pemafibrate, metformin and glucagon-like peptide 1-receptor agonists) or having the potential (sodium-glucose co-transporter 2 inhibitor) in treating DCM.

Long noncoding RNAs (lncRNAs) were a group of non-protein-coding RNAs ＞200 nucleotides and participated in biological processes and pathophysiological conditions in vivo or in vitro. Recently, more and more lncRNAs interfering with the progress of atherosclerosis were identified and characterized in the atherogenic cells such as vascular smooth muscle cells (VSMCs), endothelial cells (ECs), and monocytes/macrophages showing that lncRNAs play an important role in the occurrence of atherosclerosis. In this review, we summarized and highlighted the lncRNAs that play a role in the process of atherosclerosis. This study may provide helpful insights regarding further study of lncRNAs associated with atherosclerosis.

We conducted this case-control study to investigate the genetic role of IL-1β+3954C/T, IL-6-174G/C, IL-6-572C/G, IL-10-1082A/G, and IL-10-819C/T in the development of coronary artery disease (CAD) in a Chinese population. Polymorphisms IL-1β+3954C/T, IL-6-174G/C, IL-6-572C/G, IL-10-1082A/G, and IL-10-819C/T were determined by polymerase chain reaction restriction fragment length polymorphism assay. The CAD patients were more likely to be cigarette smokers, have a history of hypertension, have a higher value of total cholesterol, triglycerides, and low-density lipoprotein cholesterol, and have a lower value of high-density lipoprotein cholesterol. Conditional logistic regression analyses showed that the CC genotype of IL-6-174G/C was significantly associated with increased risk of CAD [odds ratio (OR) = 2.99, 95% confidence interval (95%CI) = 1.56-6.00]. Moreover, the GG genotype of IL-6-572C/G was correlated with increased risk of CAD (OR = 1.99, 95%CI = 1.25-3.19). We found that IL-6-174G/C and IL-6-572C/G gene polymorphisms are associated with an increased risk of CAD.

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus causing the COVID-19 pandemic in 2020. High adaptive plasticity on the spike protein of SASR-CoV-2 enables it to transmit across different host species. In the present study, we collected 2092 high-quality genome sequences of SARS-CoV-2 from 160 regions in over 50 countries and reconstructed their phylogeny. We also analyzed the polymorphic interaction between spike protein and human ACE2 (hACE2). Phylogenetic analysis of SARS-CoV-2 suggests that SARS-CoV-2 is probably originated from a recombination event on the spike protein between a bat coronavirus and a pangolin coronavirus that endows it humans infectivity. Compared with other regions in the S gene of SARS-CoV-2, the direct-binding sites of the receptor-binding domain (RBD) is more conserved. We focused on 3,860 amino acid mutations in spike protein RBD (T333-C525) of SARS-CoV-2 and simulated their differential stability and binding affinity to hACE2 (S19-D615). The results indicate no preference for SARS-CoV-2 infectivity on people of different ethnic groups. The variants in the spike protein of SARS-CoV-2 may also be a good indicator demonstrating the transmission route of SARS-CoV-2 from its natural reservoir to human hosts.