OBJECTIVE: To explore the correlation of plasma N-acetyl-neuraminic acid level with Thrombolysis In Myocardial Infarction (TIMI) risk score and clinical outcomes of patients with acute coronary syndrome (ACS). METHODS: We consecutively enrolled 708 consecutive patients (401 male and 307 female, mean age 63.6±10.6 years) undergoing coronary angiography in our hospital between October, 2018 and July, 2019, including 597 patients with ACS and 111 without ACS (control group). The patients with ACS group were divided into high (=104), moderate (=425) and low (=68) risk groups according to their TIMI risk scores. All the participants were examined for plasma Neu5Ac level using liquid chromatography-tandem mass spectrometry and underwent coronary angiography with their Gensini scores calculated. The patients with ACS were followed up after discharge for a mean of 15 months for the occurrence of major adverse cardiac events (Mace). Binary logistic regression analysis was performed to identify the risk factors of Mace in these patients. RESULTS: Plasma Neu5Ac levels were significantly higher in ACS group than in the control group ( < 0.05). ROC curve analysis showed that plasma Neu5Ac level could assist in the diagnosis of ACS (0.648 [0.597-0.699]) with a sensitivity of 39.2% and a specificity of 86.5% at the cutoff value of 288.50 ng/mL. In the ACS patients, plasma Neu5Ac level was significantly higher in the high-risk group than in the moderate-risk and low-risk groups ( < 0.05) and could assist in the diagnosis of a high risk (0.645 [0.588-0.703]) with a sensitivity of 42.3% and a specificity of 80.1% at the cutoff value of 327.50 ng/ mL. Plasma Neu5Ac was positively correlated with age, serum uric acid, creatinine, lipoprotein a, Ddimer, C-reactive protein, MB isoform of creatine kinase and Gensini score and negatively correlated with high-density lipoprotein level. During the followup, 80 ACS patients experienced Mace, who had significantly higher plasma Neu5Ac level than those without Mace (=517). Logistic regression analysis showed that plasma Neu5Ac level and a history of previous stroke were independent risk factors for the occurrence of Mace. CONCLUSIONS Plasma Neu5Ac level can provide assistance in the diagnosis and risk stratification of ACS and is an independent risk factor for prognosis of ACS patients.

DNA methylation is an important epigenetic mark that plays a vital role in gene expression and cell differentiation. The average DNA methylation level among a group of cells has been extensively documented. However, the cell-to-cell heterogeneity in DNA methylation, which reflects the differentiation of epigenetic status among cells, remains less investigated. Here we established a gold standard of the cell-to-cell heterogeneity in DNA methylation based on single-cell bisulfite sequencing (BS-seq) data. With that, we optimized a computational pipeline for estimating the heterogeneity in DNA methylation from bulk BS-seq data. We further built HeteroMeth, a database for searching, browsing, visualizing, and downloading the data for heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice. Three genes are used as examples to illustrate the power of HeteroMeth in the identification of unique features in DNA methylation. The optimization of the computational strategy and the construction of the database in this study complement the recent experimental attempts on single-cell DNA methylomes and will facilitate the understanding of epigenetic mechanisms underlying cell differentiation and embryonic development. HeteroMeth is publicly available at http://qianlab.genetics.ac.cn/HeteroMeth.
Animals ; Arabidopsis ; genetics ; Cell Line ; Computer Simulation ; DNA Methylation ; genetics ; Databases, Genetic ; Entropy ; Genetic Heterogeneity ; Genome ; High-Throughput Nucleotide Sequencing ; Humans ; Mice ; Oryza ; genetics ; Reference Standards ; Reproducibility of Results ; Sequence Analysis, DNA ; Single-Cell Analysis ; User-Computer Interface