Long noncoding RNA and messenger RNA profiling in epicardial adipose tissue of patients with new-onset postoperative atrial fibrillation after coronary artery bypass grafting
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE222739 | GEO | 2023/02/15
REPOSITORIES: GEO
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Project description:Introduction: Post-operative atrial fibrillation (POAF) is a frequent complication after cardiac surgery, but its pathophysiology remains incompletely understood. Considering that epicardial adipose tissue (EAT) is in close vicinity with the atrial myocardium, we hypothesized that a specific pre-operative EAT phenotype would be associated to POAF onset following surgery. Methods: Patients undergoing cardiac surgery prospectively enrolled in the POMI-AF cohort between February 2016 and June 2017 were studied. EAT samples were collected at the beginning of surgery. Whole-tissue gene expression patterns and the stromal and vascular fraction (SVF) cellular composition were explored. Patients were followed after surgery by continuous ECG to detect POAF onset. Results: Among the 60 patients included in the cohort, 15 POAF and 15 non-POAF patients were matched based on pre-operative characteristics. Gene set enrichment analysis of transcriptomic data from pre-operative EAT samples revealed 40 enriched biological processes in POAF vs non-POAF patients. Most of these processes were related to cellular immune response. Leukocytes (63±15% of total cells), and more specifically lymphocytes (56±13% of total CD45+ cells), represented the major cell subset in the preoperative EAT SVF, with no quantitative differences between POAF and SR patients (76 [52; 84]% vs 56 [50; 64]%, p=0.22). However, POAF patients presented a significantly higher cytotoxic CD8+/helper CD4+ T lymphocyte ratio than SR patients (respectively, 0.69[0.55; 1.19] vs 0.50 [0.31; 0.54], p=0.03) suggesting a cytotoxic shift prior to surgery. Conclusion: Epicardial fat from patients who develop POAF displays a specific pre-operative transcriptome signature characteristic of cellular immune response and cytotoxic lymphocyte enrichment.
2020-06-01 | GSE143924 | GEO
Project description:Background: On-pump cardiac surgery triggers sterile inflammation and postoperative complications such as postoperative atrial fibrillation (POAF). Hematopoietic somatic mosaicism (HSM) is a recently identified risk factor for cardiovascular diseases and results in a shift toward a chronic proinflammatory monocyte transcriptome and phenotype. Objectives: The aim of this study was to assess the prevalence, characteristics, and impact of HSM on preoperative blood and myocardial myeloid cells as well as on outcomes after cardiac surgery. Methods: Blood DNA from 104 patients referred for surgical aortic valve replacement (AVR) was genotyped using the HemePACT panel (576 genes). Four screening methods were applied to assess HSM, and postoperative outcomes were explored. In-depth blood and myocardial leukocyte phenotyping was performed in selected patients using mass cytometry and preoperative and postoperative RNA sequencing analysis of classical monocytes. Results: The prevalence of HSM in the patient cohort ranged from 29%, when considering the conventional HSM panel (97 genes) with variant allelic frequencies ≥2%, to 60% when considering the full HemePACT panel and variant allelic frequencies ≥1%. Three of 4 explored HSM definitions were significantly associated with higher risk for POAF. On the basis of the most inclusive definition, HSM carriers exhibited a 3.5-fold higher risk for POAF (age-adjusted OR: 3.5; 95% CI: 1.52-8.03; P = 0.003) and an exaggerated inflammatory response following AVR. HSM carriers presented higher levels of activated CD64+CD14+CD16- circulating monocytes and inflammatory monocyte-derived macrophages in presurgery myocardium. Conclusions: HSM is frequent in candidates for AVR, is associated with an enrichment of proinflammatory cardiac monocyte-derived macrophages, and predisposes to a higher incidence of POAF. HSM assessment may be useful in the personalized management of patients in the perioperative period.
2023-03-15 | GSE190353 | GEO
Project description:Rationale: Circular RNAs are pervasively expressed in highly diverged eukaryotes. Circular RNAs are more stable in body fluids, however, the link between circular RNA and onset of atrial fibrillation has never been investigated. Objective: To identify plasma circular RNAs for diagnosing onset of atrial fibrillation after the cardiac surgery. Methods and Results: Plasma circular RNAs expression was investigated in participants underwent isolated off-pump coronary artery bypass grafting. First, we used microarray to screen 15 circular RNAs in 30 plasma samples for diagnosing new onset of atrial fibrillation. Quantitative polymerase chain reaction assay was then applied to evaluate the expression of selected circular RNAs. Hsa_circRNA_025016 was upregulated in patients with onset of atrial fibrillation, with a high diagnostic accuracy by area under the receiver operating characteristic curve. The satisfactory diagnostic performance of hsa_circRNA_025016 persisted in validation cohort. Kyoto Encyclopedia of Genes and Genomes biological pathway analysis indicated that hsa_circ_025016 could participate in melanogenesis, insulin secretion, and thyroid hormone signaling pathway. There was a positive correlation between hsa_circ_025016 and fast blood glucose in both cohorts. Conclusions: Hsa_circ_025016 is a novel biomarker of onset of atrial fibrillation after isolated off-pump coronary artery bypass grafting.
2017-04-07 | GSE97455 | GEO
Project description:Accumulating studies have suggested that epicardial adipose tissue 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 non-coding RNAs, may modulate atrial remodeling. The aim of the present study was to investigate the expression profile of mRNAs and ncRNAs in EAT with AF.
2019-08-07 | GSE135445 | GEO
Project description: Not available
| S-EPMC9238552 | biostudies-literature
Project description:Aims: We tested the hypothesis that central-marginal dispersion in adipocyte diameter in epicardial adipose tissue (EAT) would represent fibrotic remodelling of EAT, a crucial state to promote atrial myocardial fibrosis to form a substrate of atrial fibrillation (AF). We also investigated whether the central-marginal EAT density ratio by the analyses of computed tomographic (CT) imaging could predict the central-marginal adipocyte diameter ratio in EAT. Methods and results: Left atrial appendage samples were obtained from 76 consecutive AF patients during cardiovascular surgery. EAT at central area (Central EAT) and that adjacent to atrial myocardium (Marginal EAT) were evaluated. Compared to the Central EAT, the dimeter of adipocytes was smaller, fibrotic remodeling of EAT (EAT fibrosis) was more severe, and the infiltration of CD3-, CD68-, or α-SMA-positive cells were more abundant in the Marginal EAT. EAT fibrosis positively correlated with adipocyte diameter in the Central EAT, while it negatively correlated with that in the Marginal EAT, resulting in the tightly positive correlation between EAT fibrosis and the ratio of central to marginal adipocyte diameter (C/M diameter ratio) (r=0.73, p<0.01). The C/M diameter ratio was greater in patients with persistent AF (PeAF) than in those with paroxysmal AF (PAF) (p<0.01). The CT density in Central EAT and Marginal EAT was measured and their ratio (C/M density ratio) was calculated. The C/M density ratio correlated tightly with the C/M diameter ratio (r=0.69, p<0.01). Conclusion: Our results suggest that C/M adipocyte diameter ratio was associated with fibrotic remodeling of EAT and progression of AF. Our results also suggest that C/M adipocyte diameter ratio could be accurately predicted by the analyses of CT findings noninvasively.
2021-08-25 | GSE154436 | GEO
Project description:Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and post-operative atrial fibrillation (POAF) is a major healthcare burden, contributing to an increased risk of stroke, kidney failure, heart attack and death. Genetic studies have identified associations with AF, but no molecular diagnostic exists to predict POAF based on pre-operative measurements. Such a tool would be of great value for perioperative planning to improve patient care and reduce healthcare costs. In this pilot study of epigenetic precision medicine in the perioperative period, we carried out bisulfite sequencing to measure DNA methylation status in blood collected from patients prior to cardiac surgery to identify biosignatures of POAF. Methods: We enrolled 221 patients undergoing cardiac surgery in this prospective observational study. DNA methylation measurements were obtained from blood samples drawn from awake patients prior to surgery. After controlling for clinical and methylation covariates, we analyzed DNA methylation loci in the discovery cohort of 110 patients for association with POAF. We also constructed predictive models for POAF using clinical and DNA methylation data. We subsequently performed targeted analyses of a separate cohort of 101 cardiac surgical patients to measure the methylation status solely of significant methylation loci in the discovery cohort. Results: A total of 47 patients in the discovery cohort (42.7%) and 43 patients in the validation cohort (42.6%) developed POAF. We identified 12 CpGs that were statistically significant in the discovery cohort after correcting for multiple hypothesis testing. Of these sites, 6 were amenable to targeted bisulfite sequencing and chr16:24640902 was statistically significant in the validation cohort. In addition, the methylation POAF prediction model had an AUC of 0.79 in the validation cohort. Conclusions: We have identified DNA methylation biomarkers that can predict future occurrence of POAF associated with cardiac surgery. This research demonstrates the use of precision medicine to develop models combining epigenomic and clinical data to predict disease.
2022-05-05 | GSE194154 | GEO
Project description:Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and post-operative atrial fibrillation (POAF) is a major healthcare burden, contributing to an increased risk of stroke, kidney failure, heart attack and death. Genetic studies have identified associations with AF, but no molecular diagnostic exists to predict POAF based on pre-operative measurements. Such a tool would be of great value for perioperative planning to improve patient care and reduce healthcare costs. In this pilot study of epigenetic precision medicine in the perioperative period, we carried out bisulfite sequencing to measure DNA methylation status in blood collected from patients prior to cardiac surgery to identify biosignatures of POAF. Methods: We enrolled 221 patients undergoing cardiac surgery in this prospective observational study. DNA methylation measurements were obtained from blood samples drawn from awake patients prior to surgery. After controlling for clinical and methylation covariates, we analyzed DNA methylation loci in the discovery cohort of 110 patients for association with POAF. We also constructed predictive models for POAF using clinical and DNA methylation data. We subsequently performed targeted analyses of a separate cohort of 101 cardiac surgical patients to measure the methylation status solely of significant methylation loci in the discovery cohort. Results: A total of 47 patients in the discovery cohort (42.7%) and 43 patients in the validation cohort (42.6%) developed POAF. We identified 12 CpGs that were statistically significant in the discovery cohort after correcting for multiple hypothesis testing. Of these sites, 6 were amenable to targeted bisulfite sequencing and chr16:24640902 was statistically significant in the validation cohort. In addition, the methylation POAF prediction model had an AUC of 0.79 in the validation cohort. Conclusions: We have identified DNA methylation biomarkers that can predict future occurrence of POAF associated with cardiac surgery. This research demonstrates the use of precision medicine to develop models combining epigenomic and clinical data to predict disease.
2022-05-05 | GSE194155 | GEO
Project description: Not available
| S-EPMC5535579 | biostudies-other
Project description: Not available
| S-EPMC5850143 | biostudies-literature