Coronavirus Disease 2019 (COVID-19) originated in Wuhan, China in December 2019 and rapidly spread worldwide. Herein, we conducted a systematic review and meta-analysis to find the association between COVID-19 and cardiovascular complications. We conducted a systematic literature search of the PubMed and Embase databases from 01 December 2019 to 30 November 2020. We then statistically analyzed the incidence of cardiovascular complications in COVID-19 patients. We included 3044 confirmed COVID-19 cases from 12 studies. The most common cardiovascular complications in COVID-19 patients were myocardial injury (21.2%, 95% CI 12.3-30.0%) and arrhythmia (15.3%, 95% CI 8.4-22.3%), followed by heart failure (14.4%, 95% CI 5.7-23.1%) and acute coronary syndrome (1.0%, 95% CI 0.5-1.5%). The pooled incidence of heart failure, arrhythmia and myocardial injury in non-survivors were 47.8% (95% CI 41.4-54.2%), 40.3% (95% CI 1.6-78.9%) and 61.7% (95% CI 46.8-76.6%), respectively. Also, the data separately showed significantly higher incidence of heart failure and cardiac injury in non-survivors (relative risks = 5.13, 95% CI 2.46-10.7, Z = 4.36, P = 0.017) and (relative risks = 6.91, 95% CI 3.19-14.95, Z = 4.91, P = 0.009). Myocardial injury and arrhythmia were the most common complications in COVID-19 patients. Myocardial injury and heart failure were more common in patients who died, regardless of a history of cardiovascular disease. The incidence of heart failure and myocardial injury were higher in non-survivors compared to the survivors. Accordingly, in addition to basic support, cardiac reactions of patients with confirmed COVID-19 with or without underlying cardiovascular diseases should be closely monitored.

Epicardial adipose tissue (EAT) is a metabolically active visceral fat depot closely linked to the pathogenesis of heart failure (HF). But the molecular signatures related to the mechanism of HF have not been systematically explored. Here, we present comprehensive proteomic analysis of EAT in HF patients and non‐HF patients as controls. A total of 771 proteins were identified in liquid chromatography‐tandem mass spectrometry experiments. Amongst them, 17 increased in abundance in HF and seven decreased. They were involved in HF‐related processes including inflammation and oxidative stress response and lipid metabolism. Of these proteins, serine proteinase inhibitor A3 (Serpina3) levels in EAT were highly up‐regulated in HF, with HF/non‐HF ratio of 4.63 (P = .0047). Gene expression of Serpina3 via quantitative polymerase chain reaction was significantly increased in the HF group. ELISA analysis confirmed a significant increase in circulating plasma Serpina3 levels in the HF group (P = .004). In summary, for the first time, we describe that parts of EAT proteome may be reactive and work as modulators of HF. Our profiling provides a comprehensive basis for linking EAT with pathogenesis of HF. Understanding the role of EAT may offer new insights into the treatment of HF.

Accumulating studies have suggested that epicardial adipose tissue (EAT) play an important role in the pathogenesis of atrial fibrillation (AF), but few have characterized the underlying mechanism between their interactions. Recent evidence suggested that bioactive molecules secreted from EAT, including exosomes carrying long non-coding RNAs (lncRNAs), may modulate atrial remodeling. LncRNAs are associated with cardiovascular disorders, including AF, but their roles in EAT remain elusive. The aim of the present study was to investigate the expression profile of lncRNAs in EAT with AF. Differentially expressed lncRNAs and nearby mRNAs interaction networks were constructed. Epicardial adipose samples were collected from patients with persistent non-valvular AF (n = 6) and sinus rhythm (SR) (n = 6), and the expression of lncRNAs and mRNAs were profiled using RNA-sequencing method. A total of 46,577 transcripts, including 35,552 protein-coding pattern, corresponding to 15,404 genes in EAT, among which, 655 mRNAs (265 upregulated and 390 downregulated) and 57 lncRNAs (17 upregulated and 40 downregulated) were differentially expressed between AF and SR (P < 0.05; fold change>1.5). GO enrichment, KEGG pathway analysis and interaction network construction showed that these differentially expressed lncRNAs were enriched in functional categories, including metabolism and stress response, which might contribute to the pathogenesis of AF. Our study demonstrated a differentially expressed lncRNA profile in EAT with AF, and provide a novel insight into the interactions between EAT and AF.

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