Peripheral Blood Mononuclear Cell ABCA1 Transcripts and Protein Expression in Acute Myocardial Infarction

Genetic and immunological insights into COVID-19 with acute myocardial infarction: integrated analysis of mendelian randomization, transcriptomics, and clinical samples

Background

Globally, most deaths result from cardiovascular diseases, particularly ischemic heart disease. COVID-19 affects the heart, worsening existing heart conditions and causing myocardial injury. The mechanistic link between COVID-19 and acute myocardial infarction (AMI) is still being investigated to elucidate the underlying molecular perspectives.

Methods

Genetic risk assessment was conducted using two-sample Mendelian randomization (TSMR) to determine the causality between COVID-19 and AMI. Weighted gene co-expression network analysis (WGCNA) and machine learning were used to discover and validate shared hub genes for the two diseases using bulk RNA sequencing (RNA-seq) datasets. Additionally, gene set enrichment analysis (GSEA) and single-cell RNA-seq (scRNA-seq) analyses were performed to characterize immune cell infiltration, communication, and immune correlation of the hub genes. To validate the findings, the expression patterns of hub genes were confirmed in clinical blood samples collected from COVID-19 patients with AMI.

Results

TSMR did not find evidence supporting a causal association between COVID-19 or severe COVID-19 and AMI. In the bulk RNA-seq discovery cohorts for both COVID-19 and AMI, WGCNA's intersection analysis and machine learning identified TLR4 and ABCA1 as significant hub genes, demonstrating high diagnostic and predictive value in the RNA-seq validation cohort. Single-gene GSEA and single-sample GSEA (ssGSEA) revealed immune and inflammatory roles for TLR4 and ABCA1, linked to various immune cell infiltrations. Furthermore, scRNA-seq analysis unveiled significant immune dysregulation in COVID-19 patients, characterized by altered immune cell proportions, phenotypic shifts, enhanced cell-cell communication, and elevated TLR4 and ABCA1 in CD16 monocytes. Lastly, the increased expression of TLR4, but not ABCA1, was validated in clinical blood samples from COVID-19 patients with AMI.

Conclusion

No genetic causal link between COVID-19 and AMI and dysregulated TLR4 and ABCA1 may be responsible for the development of immune and inflammatory responses in COVID-19 patients with AMI.

Role of ABCA1 in Cardiovascular Disease

Cholesterol homeostasis plays a significant role in cardiovascular disease. Previous studies have indicated that ATP-binding cassette transporter A1 (ABCA1) is one of the most important proteins that maintains cholesterol homeostasis. ABCA1 mediates nascent high-density lipoprotein biogenesis. Upon binding with apolipoprotein A-I, ABCA1 facilitates the efflux of excess intracellular cholesterol and phospholipids and controls the rate-limiting step of reverse cholesterol transport. In addition, ABCA1 interacts with the apolipoprotein receptor and suppresses inflammation through a series of signaling pathways. Thus, ABCA1 may prevent cardiovascular disease by inhibiting inflammation and maintaining lipid homeostasis. Several studies have indicated that post-transcriptional modifications play a critical role in the regulation of ABCA1 transportation and plasma membrane localization, which affects its biological function. Meanwhile, carriers of the loss-of-function ABCA1 gene are often accompanied by decreased expression of ABCA1 and an increased risk of cardiovascular diseases. We summarized the ABCA1 transcription regulation mechanism, mutations, post-translational modifications, and their roles in the development of dyslipidemia, atherosclerosis, ischemia/reperfusion, myocardial infarction, and coronary heart disease.

Relationship between ABCA1 gene polymorphism and lacunar infarction combined with arteriosclerosis in patients

Adenosine triphosphate-binding cassette transporter A1 (ABCA1) gene polymorphism in lacunar infarction (LI) combined with arteriosclerosis was investigated. A total of 112 LI patients complicated with arteriosclerosis treated in Ningbo First Hospital from March 2015 to September 2016 were enrolled as observation group. At the same time, 342 healthy subjects were selected from physical examination center to serve as the control group. The ABCA1 gene polymorphism was detected via polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and the susceptibility of ABCA1 gene to LI complicated with atherosclerosis was studied. There were no significant differences in serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and lipoprotein (a) [Lp(a)] between the two groups (P>0.05). Levels of triglyceride (TG) and apolipoprotein B (ApoB) in observation group were significantly higher than those in control group, but levels of ApoA-I and high-density lipoprotein cholesterol (HDL-C) were significantly lower in observation group than those in control group (P<0.05). There were no significant differences in the RR, RK and KK frequencies and allele frequency of ABCA1 R219K genotype between the two groups (P>0.05). Moreover, levels of HDL-C increased in the RR, RK and KK genotypes, but were not statistically significant (P>0.05). Levels of TG, TC, LDL-C, ApoA-I, ApoB and Lp(a) showed no significant differences among different genotypes of ABCA1 R219K (P>0.05). Results indicated that ABCA1 R219K polymorphism has no correlation with LI complicated with arteriosclerosis.

Plasmatic MicroRNA Signatures in Elderly People with Stable and Unstable Angina

We aimed to investigate the distinctive miRNA profiles in the plasma of elderly patients with unstable angina (UA) and stable angina (SA), and to find more effective markers of UA in elderly people. We compared miRNA expression levels in plasma samples from 10 elderly patients with UA and 10 elderly patients with SA by using microarray-based miRNA chip, and then performed validation with Real-time PCR. Mir-1202, mir-1207-5p, and mir-1225-5p showed a statistically significant down-regulation (P < 0.05), while mir-3162-3p showed an up-regulation (P < 0.05) during validation. Among all single miRNAs, miR-3162-3p showed the highest discriminatory power in the diagnosis of elderly patients with UA (AUC: 0.79, 95% CI: 0.675-0.905). The discriminatory power of a panel of three miRNAs (mir-3162-3p/mir-1225-5p/mir-1207-5p) was highest with an AUC of 0.91 (95% CI: 0.84-0.98), followed by mir-3162-3p/mir-1225-5p (AUC: 0.833, 95% CI: 0.732-0.934) and mir-3162-3p/mir-1207-5p (AUC: 0.817, 95% CI: 0.712-0.922). In conclusion, multi-miRNA panel could provide higher diagnostic value for the diagnosis of elderly patients with UA.