Expression Profiles of Long Noncoding RNA and mRNA in Epicardial Adipose Tissue in Patients with Heart Failure

Identification of molecular signatures in epicardial adipose tissue in heart failure with preserved ejection fraction

AIMS

The molecular signatures in epicardial adipose tissue (EAT) that contribute to the pathogenesis of heart failure with preserved ejection fraction (HFpEF) are poorly characterized. In this study, we sought to elucidate molecular signatures including genetic transcripts and long non-coding RNAs (lncRNAs) in EAT that might modulate HFpEF development.

METHODS

RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs and mRNAs in EAT samples from patients with HFpEF (n = 5) and without HF (control, n = 5) who underwent coronary artery bypass grafting. The sequencing results were validated using quantitative real-time PCR (qRT-PCR). Bioinformatics analysis (Gene Ontology and Kyoto Encyclopedia of Genes and Genomes) of differentially expressed RNAs was performed to predict enriched functions.

RESULTS

HFpEF patients had higher EAT thickness and NT-proBNP levels than the control group. A total of 64 471 transcripts were detected including 35 395 protein-coding sequences, corresponding to 16 854 genes in EAT. RNA-seq identified a total of 741 dysregulated mRNA transcripts (394 up-regulated and 347 down-regulated) and 334 differentially expressed lncRNA transcripts (222 up-regulated and 112 down-regulated) in the HFpEF group compared with the control group (P < 0.05). qRT-PCR analysis confirmed that two lncRNAs ENST00000561775 (P = 0.0194) and ENST00000519093 (P = 0.027) and an mRNA POSTN (P = 0.003) were differentially expressed. Functional enrichment analysis of the differentially expressed mRNAs suggested their potential roles in immune response involving cytokine interaction and chemokine signalling.

CONCLUSIONS

We are the first group to report on the lncRNA and mRNA landscape in EAT in HFpEF patients. Our study suggests the possible role of lncRNAs in EAT.

Evaluation of lncRNA Expression Pattern and Potential Role in Heart Failure Pathology

During the last few decades, the morbidity and mortality of heart failure (HF) have remained on an upward trend. Despite the advances in therapeutic and diagnostic measures, there are still many aspects requiring further research. This study is aimed at finding potential long noncoding RNAs (lncRNAs) that could aid with the diagnosis and treatment of HF. We performed RNA sequencing on the peripheral blood of healthy controls as well as HF patients. The expression of lncRNAs was validated by RT-qPCR. Bioinformatic analysis was performed to investigate the possible mechanism of differentially expressed lncRNAs and mRNAs. The diagnostic value of lncRNAs was analysed by ROC analysis. Finally, a total of 207 mRNAs and 422 lncRNAs were identified. GO and KEGG pathway analyses revealed that biological pathways such as immune response, regulation of cell membrane, and transcriptional regulatory process were associated with the pathological progress of HF. The lncRNA-mRNA coexpression network was conducted, and several mRNAs were identified as key potential pathological targets, while lncRNA CHST11, MIR29B2CHG, CR381653.1, and FP236383.2 presented a potential diagnostic value for HF. These findings provide novel insights for the underlying mechanisms and possible therapeutic targets for HF.

Circulating exosomal lncRNAs in patients with chronic coronary syndromes

INTRODUCTION

The concept of chronic coronary syndrome (CCS) was first presented at the European Society of Cardiology Meeting in 2019. However, the roles of exosomal lncRNAs in CCS remain largely unclear.

MATERIAL AND METHODS

A case-control study was performed with a total of 218 participants (137 males and 81 females), including 15 CCS patients and 15 controls for sequencing profiles, 20 CCS patients and 20 controls for the first validation, and 100 CCS patients and 48 controls for the second validation. Exosomes were isolated from the plasma of CCS patients and controls, and exosomal lncRNAs were identified by sequencing profiles and verified twice by qRT-PCR analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exosomal lncRNAs for CCS patients.

RESULTS

A total of 152 significantly differentially expressed lncRNAs with over two-fold changes were detected in plasma exosomes of CCS patients, including 90 upregulated and 62 downregulated lncRNAs. Importantly, 6 upregulated lncRNAs with the top fold changes were selected for validations. Exosomal lncRNAs ENST00000424615.2 and ENST00000560769.1 were significantly elevated in CCS patients in both validations compared with controls. The areas under the ROC of lncRNAs ENST00000424615.2 and ENST00000560769.1 were 0.654 and 0.722, respectively. Additionally, exosomal lncRNA ENST00000560769.1 was significantly higher in the CCS patients with more diseased vessels (p = 0.028).

CONCLUSIONS

Exosomal lncRNA ENST00000424615.2 and ENST00000560769.1 were identified as novel diagnosis biomarkers for patients with CCS. Moreover, exosomal lncRNA ENST00000560769.1 was significantly higher in the CCS patients with more diseased vessels, and might be associated with a poor prognosis.

Construction and validation of molecular subtypes of coronary artery disease based on ferroptosis-related genes

Background

This study aims to construct a reliable diagnostic model for coronary artery disease (CAD) patients and explore its potential mechanism by consensus molecular subtypes of ferroptosis-related genes.

Methods

GSE12288 and GSE20680 were downloaded from Gene Expression Omnibus database. CAD patients were divided into different molecular subtypes according to the expression level of ferroptosis-related genes. Then, the distribution of differentially expressed genes, functional annotations and immune infiltration cells between the two subtypes were compared. Finally, a prognostic model of ferroptosis-related genes in CAD was constructed and verified.

Results

Two different molecular subtypes of CAD were obtained according to the expression level of ferroptosis-related genes. Then, a total of 1944 differentially expressed genes (DEGs) were found, among which, 236 genes were up-regulated and 1708 genes were down-regulated. In addition, 43 DEGs were ferroptosis-related genes. Functional enrichment analysis showed that these DEGs between two subtypes of CAD were mainly enriched in immune-related pathways and processes, such as T cell receptor, mTOR, NOD-like receptor and Toll-like receptor signaling pathways. We also found that 21 immune cells were significantly changed between two subtypes of CAD. The LASSO method was performed to identify and construct the 16 ferroptosis-related genes-based diagnostic signature. Diagnostic efficiency of diagnostic signature measured by AUC in the training set and validation cohort was 0.971 and 0.899, respectively.

Conclusions

This study contributes to a more comprehensive understanding of the mechanism of ferroptosis-related genes in CAD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02719-1.

Transcriptomes of an Array of Chicken Ovary, Intestinal, and Immune Cells and Tissues

While the chicken (Gallus gallus) is the most consumed agricultural animal worldwide, the chicken transcriptome remains understudied. We have characterized the transcriptome of 10 cell and tissue types from the chicken using RNA-seq, spanning intestinal tissues (ileum, jejunum, proximal cecum), immune cells (B cells, bursa, macrophages, monocytes, spleen T cells, thymus), and reproductive tissue (ovary). We detected 17,872 genes and 24,812 transcripts across all cell and tissue types, representing 73% and 63% of the current gene annotation, respectively. Further quantification of RNA transcript biotypes revealed protein-coding and lncRNAs specific to an individual cell/tissue type. Each cell/tissue type also has an average of around 1.2 isoforms per gene, however, they all have at least one gene with at least 11 isoforms. Differential expression analysis revealed a large number of differentially expressed genes between tissues of the same category (immune and intestinal). Many of these differentially expressed genes in immune cells were involved in cellular processes relating to differentiation and cell metabolism as well as basic functions of immune cells such as cell adhesion and signal transduction. The differential expressed genes of the different segments of the chicken intestine (jejunum, ileum, proximal cecum) correlated to the metabolic processes in nutrient digestion and absorption. These data should provide a valuable resource in understanding the chicken genome.

Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review

Patients with heart failure (HF) often present with signs and symptoms that are often nonspecific and with a wide differential diagnosis, making diagnosis and prognosis of HF by clinical presentation alone challenging. Our knowledge on genetic diversity is rapidly evolving with high-throughput DNA sequencing technology, which makes a great potential for genetic biomarker development. The present review attempts to provide a comprehensive review on the modification of major genetic components in HF patients and to explore the potential application of these components as clinical biomarkers in the diagnosis and in monitoring the progress of HF. The literature search was conducted using six databases, resulting in the inclusion of eighteen studies in the review. The findings of these studies were summarized narratively. An appraisal of the reporting quality of the included studies was conducted using a twelve-item checklist adapted from the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. The findings showed that changes in genetic components in patients with HF compared to healthy controls could be noninvasive diagnostic or prognostic tools for HF with higher specificity and sensitivity in comparison with the traditional biomarkers. This review provided evidence for the potential of developing genetic biomarkers of HF.

Expression profile of circular RNAs in epicardial adipose tissue in heart failure

Background

Recent studies have reported circular RNA (circRNA) expression profiles in various tissue types; however, circRNA expression profile in human epicardial adipose tissue (EAT) remains undefined. This work aimed to compare circRNA expression patterns in EAT between the heart failure (HF) and non-HF groups.

Methods

RNA-sequencing was carried out to compare circRNA expression patterns in EAT specimens from coronary artery disease cases between the HF and non-HF groups. Quantitative real-time polymerase chain reaction was performed for validation. Comparisons of patient characteristics between the two groups were using t test, Mann-Whitney U test, and Chi-squared test.

Results

A total of 141 circRNAs substantially different between the HF and non-HF groups (P < 0.05; fold change >2) were detected, including 56 up-regulated and 85 down-regulated. Among them, hsa_circ_0005565 stood out, for it had the highest fold change and was significantly increased in HF patients in quantitative real-time polymerase chain reaction validation. The top highly expressed EAT circRNAs corresponded to genes involved in cell proliferation and inflammatory response, including GSE1, RHOBTB3, HIPK3, UBXN7, PCMTD1, N4BP2L2, CFLAR, EPB41L2, FCHO2, FNDC3B, and SPECC1. The top enriched Gene Ontology term and Kyoto Encyclopedia of Genes and Genomes pathway were positive regulation of metabolic processes and insulin resistance, respectively.

Conclusion

These data indicate EAT circRNAs may contribute to the pathogenesis of metabolic disorders causing HF.

Transcriptome Analysis Reveals the Profile of Long Non-coding RNAs During Chicken Muscle Development

The developmental complexity of muscle arises from elaborate gene regulation. Long non-coding RNAs (lncRNAs) play critical roles in muscle development through the regulation of transcription and post-transcriptional gene expression. In chickens, previous studies have focused on the lncRNA profile during the embryonic periods, but there are no studies that explore the profile from the embryonic to post-hatching period. Here, we reconstructed 14,793 lncRNA transcripts and identified 2,858 differentially expressed lncRNA transcripts and 4,282 mRNAs from 12-day embryos (E12), 17-day embryos (E17), 1-day post-hatch chicks (D1), 14-day post-hatch chicks (D14), 56-day post-hatch chicks (D56), and 98-day post-hatch chicks (D98), based on our published RNA-seq datasets. We performed co-expression analysis for the differentially expressed lncRNAs and mRNAs, using STEM, and identified two profiles with opposite expression trends: profile 4 with a downregulated pattern and profile 21 with an upregulated pattern. The cis- and trans-regulatory interactions between the lncRNAs and mRNAs were predicted within each profile. Functional analysis of the lncRNA targets showed that lncRNAs in profile 4 contributed to the cell proliferation process, while lncRNAs in profile 21 were mainly involved in metabolism. Our work highlights the lncRNA profiles involved in the development of chicken breast muscle and provides a foundation for further experiments on the role of lncRNAs in the regulation of muscle development.

Circulating exosomal long non-coding RNAs in patients with acute myocardial infarction

Exosomes are attracting considerable interest in the cardiovascular field as the wide range of their functions is recognized in acute myocardial infarction (AMI). However, the regulatory role of exosomal long non-coding RNAs (lncRNAs) in AMI remains largely unclear. Exosomes were isolated from the plasma of AMI patients and controls, and the sequencing profiles and twice qRT-PCR validations of exosomal lncRNAs were performed. A total of 518 differentially expressed lncRNAs were detected over two-fold change, and 6 kinds of lncRNAs were strikingly elevated in AMI patients with top fold change and were selected to perform subsequent validation. In the two validations, lncRNAs ENST00000556899.1 and ENST00000575985.1 were significantly up-regulated in AMI patients compared with controls. ROC curve analysis revealed that circulating exosomal lncRNAs ENST00000556899.1 and ENST00000575985.1 yielded the area under the curve values of 0.661 and 0.751 for AMI, respectively. Moreover, ENST00000575985.1 showed more significant relationship with clinical parameters, including inflammatory biomarkers, prognostic indicators and myocardial damage markers. Multivariate logistic model exhibited positive association of ENST00000575985.1 with the risk of heart failure in AMI patients. In summary, our data demonstrated that circulating exosomal lncRNAs ENST00000556899.1 and ENST00000575985.1 are elevated in patients with AMI, functioning as potential biomarkers for predicting the prognosis of pateints with AMI.

Genome-wide screening of functional long noncoding RNAs in the epicardial adipose tissues of atrial fibrillation

Atrial fibrillation (AF) is the most common arrhythmias, and patients with AF are facing increased risk of heart failure and ischemic stroke. However, the AF pathogenesis, especially the long noncoding RNAs (lncRNA)-related mechanism, has not been fully understood. In this study, we collected RNA sequencing data of the epicardial adipose tissues (EAT) from 6 AF and 6 sinus rhythm (SR) to identify the differentially expressed protein-coding genes (PCGs) and lncRNAs. Functionally, the differentially expressed PCGs were significantly enriched in bone development disease, chronic kidney failure, and kidney disease. Particularly, we found that homeobox (HOX) genes, especially the antisense RNAs, HOTAIRM1, HOXA-AS2 and HOXB-AS2, were significantly downregulated in EAT of AF. The biological function predictions for the dysregulated lncRNAs revealed that TNF signaling pathway was the most frequent pathway that the lncRNAs might participate in. In addition, SNHG16 and RP11-471B22.2 might participate in TGF-beta signaling and ECM-receptor interaction by interacting with the proteins involved in the pathways, respectively. Collectively, we provided some potentially pathogenic lncRNAs in AF, which might be useful for the related researchers to study their functionality and develop new therapeutics.