Atrial Tissue Research Articles

Prognostic value of myocardial redox signalling: a machine learning multi-omics approach

Abstract Background Oxidative stress has been proposed to be implicated in cardiovascular pathology. Studies have linked myocardial oxidative stress with the development of atrial fibrillation, but its role in the prediction of long-term outcomes and mortality is yet to be elucidated. Purpose To apply discovery network transcriptomics and genomics to atrial tissue (AT) obtained from patients undergoing cardiac surgery, to phenotype myocardial redox-state and identify potential therapeutic targets. Methods We included 1,032 patients undergoing cardiac surgery. Arm 1 included 258 patients in whom atrial tissue (right atrial appendage) was used for ex-vivo quantification of NOX-derived superoxide by lucigenin-enhanced chemiluminescence. Arm 2 included 414 patients in whom exploratory, unsupervised gene network analysis in human atrial tissue RNA sequencing data was performed to identify atrial tissue redox-sensitive signatures (blue signature). Arm 3 included 881 patients genotyped with the genome-wide SNP array UK Biobank Axiom Array and used for machine learning construction of GenRedOx, a SNP model built to predict the blue transcriptomic signature. Associations with future incidence of major adverse myocardial events (MAME: cardiovascular death and/or heart failure) was assessed across all arms using cox regression models (adjusted for age, sex, hypertension, dyslipidaemia, diabetes mellitus, body mass index, and plasma TNFa). Results Over a median follow-up of 5.27 years [IQR: 4.29-6.83] high atrial tissue (AT) NOX-derived superoxide was independently associated with MAME risk (Adj. HR[95%CI]: 11.7 [2.18 , 62.82], p=0.004, a). Unsupervised transcriptomic analysis in Arm 2 revealed 15 coexpressed gene ‘modules’ or 'signatures' (b). The blue signature was significantly associated with AT superoxide production with "immune response-regulating and activating signalling" being amongst the top enriched pathways. Patients with high eigengene values for the blue signature showed a 5.5-fold higher adjusted risk of MAME (c). In Arm 3, extreme gradient boosting of SNP data, trained using the blue transcriptomic signature as ground truth, revealed GenRedOx (d), a genomic artificial intelligence score, which was found to be prognostic of MAME in the validation stage (e). Homozygosity for the minor allele of SNP rs723897 in the Chemokine-Like Factor Super Family 7 (CMTM7) gene had the highest gain in the model. Conclusion We present for the first time two novel human myocardial transcriptomic and genomic signatures that reflect changes in redox state and identify long-term cardiovascular risk. Targeting pathways in the myocardium related with immune response signalling may lead to the development of novel therapeutics in cardiovascular disease.

Calcitonin signalling system regulates function and arhythmogenicity of atrial cardiomyocytes

Abstract Background Atrial fibrillation (AF) poses a significant therapeutic challenge due to myocardial remodelling, involving both structural and electrical alterations. Recent investigations have shed light on the role of atrial cardiomyocytes (CMs) in secreting Calcitonin (CT), a factor crucial for maintaining atrial tissue integrity. Dysregulated CT secretion in AF showed to contribute to fibrotic tissue production by atrial fibroblasts, exacerbating arrhythmogenesis [1]. However, the direct impact of CT on CM function and arrhythmogenicity remains unclear, driving the objectives of our study. Methods/Results Serum samples from 20 cardiac surgery patients revealed a noteworthy association between higher pre-operative CT levels and a significant ~2.8-fold reduction in the incidence of post-operative AF (poAF). Using freshly isolated atrial guinea pig CMs, confirmed (by qPCR and immunofluorescence) that CMs express CT-receptor (CTR) to enable CT actions in the cell. Functional studies found that CT administration inhibits spontaneous calcium (Ca2+)-release events induced by pacing and decreases the Ca2+ transients amplitude (at 2 Hz; IonOptix μstep system) in fura2-loaded CMs (n=22 cells) in a concentration-dependent manner. Atrial iPSC-CMs transduced with global RGECO sensor (Genetically encoded Ca2+ indicator) and treated with 15 pM CT showed a reduction in the beat rate when paced at 2Hz, and a significantly increased the time to 50% baseline. Evaluation of the expression and phosphorylation of selected Ca2+ handling proteins, which may potentially account for the observed changes in Ca2+ transients, showed no differences in total or phospho-(ser2808) ryanodine receptor, and SERCA2α in response to CT but an increase in phospho-(Ser16) Phospholamban. Conclusion Our findings highlight the effects of CT on atrial CM function. Maintaining physiological CT levels offer a promising approach for managing AF clinically, potentially through the use of already in clinical use CT-analogues.

Macrophage-mediated interleukin-6 signaling drives ryanodine receptor-2 calcium leak in postoperative atrial fibrillation

Abstract Background Postoperative atrial fibrillation (poAF) is self-limited AF that occurs within days after cardiac surgery in one-third of patients. Clinical and preclinical studies have demonstrated that the magnitude of the perioperative increase in systemic inflammation, in particular mediated by interleukin (IL)-6, correlates with poAF risk. However, no studies to-date have mechanistically linked IL-6 signaling to fundamental arrhythmia mechanisms or identified the specific cell types driving postoperative atrial IL-6 signaling. Methods We performed single-cell RNA sequencing (scRNAseq), followed by pseudotime trajectory and cell-cell communication analyses on atrial non-myocytes comparing mice with and without poAF. We followed up our scRNAseq findings with pharmacologic and genetic approaches in mice to validate pathways related to macrophage-mediated IL-6 signaling. We used confocal imaging to assess calcium-signaling mechanisms at the single atrial cardiomyocyte (ACM) level and performed parallel patch-clamp studies in isolated human ACMs as well as biochemical analyses of human atrial tissue to assess the translational relevance of our findings. Results Our scRNAseq results demonstrated macrophages to be the most prominently altered cell type in the atria of mice with poAF. Pseudotime trajectory analyses revealed IL-6 to be one of the top inflammatory pathways implicated in macrophage transcriptional state. Indeed, both macrophage depletion and conditional knockout of IL-6 receptors in macrophages were sufficient to prevent poAF. We found that inhibition of STAT3, which is downstream of the IL-6Ra, with FDA-approved phospho-STAT3 inhibitor TTI-101 prevented poAF in mice. Lastly, we demonstrate that enhanced STAT3 activity in poAF promotes arrhythmogenic Ca2+ sparks and waves through ryanodine receptor-2 dysfunction, and that CaMKII inhibition is sufficient to ameliorate Ca2+ mishandling at the single atrial myocyte level. Conclusions Taken together, we use an integrated approach incorporating mouse and human biochemical, functional, and single-cell sequencing data to demonstrate that infiltrating atrial macrophages are fundamentally required for poAF. IL-6 was found to be a critical pathway upregulated in poAF leading to downstream ryanodine receptor-2 dysfunction and atrial arrhythmogenesis. Our findings portend significant therapeutic utility by providing robust mechanistic evidence that targeting the IL-6 axis may be used for poAF prevention and treatment in a clinically amenable timeframe.

Secretomes from human epicardial adipocytes modulate atrial lymphatics and atrial fibrosis

Abstract Background Cardiac lymphatics maintains myocardial fluid and immune cell homeostasis. Downregulation of cardiac lymphatics leads to cardiac dysfunction through impairment of inflammation and edema. On the other hand, it is well known that adipose tissue accumulation causes lymphatic dysfunction and impairs lymphedema. Purpose We evaluated the expression of atrial lymphatics in human left atrial appendage (LAA) histologically and biologically. Subsequently, we examined secretomes from epicardial adipose tissue (EAT)-derived adipocytes and validated if they change atrial lymphatics expression using ex vivo Organo-culture system. Methods Human LAA samples were collected from forty-two patients during cardiovascular surgery. They were categorized into the sinus rhythm (SR) group (n=16, 73.1±10.4 years), the paroxysmal AF (PAF) group (n=13, 69.8±12.6 years) and the persistent AF (PeAF) group (n=13, 71.2±6.5 years). Human EAT were also excised from patients with and without AF (SR; n=5, AF; n=11) during cardiovascular surgery. Preadipocytes were extracted from EAT by homogenization and collagenase treatment, and cultured to confluence. After differentiation and maturation to adipocytes, cell culture supernatant (CCS) was collected, and was dropped onto the epicardial side of left atrial tissues excised from 8 weeks old male rats for 7 days using an ex vivo organo-culture system. Results In human LAA samples, mRNA expression of lymphangiogenesis-related genes (LYVE1, PROX1, VEGFC, and VEGFR3) was significantly lower in the PeAF group compared to the SR group (p=0.0370, <0.0001, 0.0157, and 0.0009). The number of LYVE1-positive atrial lymphatic endothelial cells (LECs) was also significantly lower in the PeAF group compared to the SR group and the PAF group (p=0.0186 and 0.038). There was a negative correlation between the number of LYVE1-positive atrial LECs and the area percentage of atrial myocardial fibrosis (r=-0.5350, p<0.001). In the experiment using organo-culture system, lymphangiogenesis-related genes expression (Lyve1, Prox1, Vegfc, and Vegfr3) of rat atria treated with CCS of adipocytes from AF patients was significantly lower than those from SR patients (p=0.0391, 0.0100, 0.0034, and 0.0338). Furthermore, the CCS of adipocytes from AF patients contained higher protein levels of leptin, which is known to suppress lymphangiogenesis (p=0.0357). Leptin treatment (100ng/ml) on rat atria also decreased lymphangiogenesis-related genes expression such as Lyve1, Prox1, Vegfc, and Vegfr3 (p=0.0413, < 0.0001, <0.0001, and 0.0190). Conclusions Our study with human LAA demonstrated that atrial lymphatics interact with atrial myocardial fibrosis/progression of AF. Furthermore, our findings indicate that secretomes from EAT-derived adipocytes regulate atrial lymphatics expression, and leptin plays an important role in modulating atrial lymphangiogenesis.

Effect of selective renal denervation guided by renal nerve stimulation on atrial remodeling

Abstract Background The renal nerves play a crucial role in regulating blood pressure (BP), and the parasympathetic nervous has been confirmed as one of the components of the renal nerves, with close connections to the central solitary nucleus. Renal nerve stimulation (RNS) can activate not only the sympathetic nerves, leading to an elevation in BP, but also the parasympathetic nerves, resulting in a reduction in BP. Multiple clinical studies have demonstrated that compared to pulmonary vein isolation (PVI), renal denervation (RDN) combined with PVI significantly increased the likelihood of freedom from atrial fibrillation, but its mechanism remains unclear. Purpose Exploring the effects of renal sympathetic denervation and renal parasympathetic denervation on atrial neural remodeling and structural remodeling from a histological perspective of atrial myocardium. Methods 24 adult healthy Kunming dogs were randomly divided into three groups: (1) RNS-guided reduced BP response sites ablation (RRA group, n=8), (2) RNS-guided elevated BP response sites ablation (ERA group, n=8), and (3) RNS only, no ablation (RSC group, n=8). Left atrial samples were obtained after a 4-week follow-up period. Results Compared to the RSC group, the ERA group showed a significant decrease in tyrosine hydroxylase (TH), while the RRA group showed a significant decrease in choline acetyltransferase (CHAT) and muscarinic acetylcholine receptor 2 (CM2) (Fig. 1A-1C). Histological results indicated that compared to the RSC group, the ERA group exhibited orderly arrangement of myocardial cells, with a significant reduction in the degree of mitochondrial swelling and a decrease in average myocardial cell area. In contrast, the RRA group showed disordered arrangement of myocardial cells, with some myofibril dissolution, noticeable swelling of cell nuclei and mitochondria, and an increase in average myocardial cell area (Fig. 1D). Further evaluation of left atrial fibrosis degree revealed that compared to the RSC group, the ERA group showed a significant decrease in Collagen I, with a reduction in interstitial fibrosis degree, while the RRA group showed a significant increase in Collagen I expression, with an increase in myocardial interstitial fibrosis degree (Fig.2). Conclusion Renal sympathetic denervation can reduce atrial sympathetic nerve, improve atrial macrostructure, ultrastructure, and fibrosis levels, which may be one of the reasons why RDN combined with PVI is more effective in maintaining sinus rhythm compared to PVI. Renal parasympathetic denervation can decrease atrial parasympathetic nerve, leading to deterioration of atrial tissue structure and exacerbation of fibrosis. This emphasizes the importance of electrical stimulation guidance during the RDN procedure to avoid "side effects" caused by renal parasympathetic nerves ablation.Figure 1Figure 2

--Connecting Transcriptomics with Computational Modeling to Reveal Developmental Adaptations in Pediatric Human Atrial Tissue.

Nearly 1% of babies are born with congenital heart disease (CHD) - many of whom will require heart surgery within the first few years of life. A detailed understanding of cardiac maturation can help to expand our knowledge on cardiac diseases that develop during gestation, identify age-appropriate drug therapies, and inform clinical care decisions related to surgical repair and postoperative management. Yet, to date, our knowledge of the temporal changes that cardiomyocytes undergo during postnatal development is limited. In this study, we collected right atrial tissue samples from pediatric patients (n=117) undergoing heart surgery. Patients were stratified into five age groups. We measured age-dependent adaptations in cardiac gene expression, and used computational modeling to simulate action potential and calcium transients. Enrichment of differentially expressed genes (DEGs) revealed age-dependent changes in several key biological processes (e.g., cell cycle, structural organization), cardiac ion channels, and calcium handling genes. Gene-associated changes in ionic currents exhibited age-dependent trends, with changes in calcium handling (INCX) and repolarization (IK1) most strongly associated with an age-dependent decrease in the action potential plateau potential and increase in triangulation, respectively. We observed a shift in repolarization reserve, with lower IKr expression in younger patients, a finding potentially tied to an increased amplitude of IKs that could be triggered by elevated sympathetic activation in pediatric patients. Collectively, this study provides valuable insights into age-dependent changes in human cardiac gene expression and electrophysiology, shedding light on molecular mechanisms underlying cardiac maturation and function throughout development.

Atrial cardiomyopathy resulting from loss of plakophilin-2 expression: Response to adrenergic stimulation and implications for the exercise response.

Atrial arrhythmias occur in 20-40% of patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and are associated with an increased risk of sustained ventricular arrhythmias and inappropriate implantable cardioverter-defibrillator shocks. The pathophysiology of atrial arrhythmias in ARVC remains unclear. Most cases of gene-positive ARVC are linked to pathogenic variants in the desmosomal gene plakophilin-2 (PKP2). Here, we test the hypothesis that loss of PKP2 expression leads to pro-arrhythmic changes in atrial cardiomyocytes. Atrial cells/tissue were obtained from a cardiac-specific, tamoxifen-activated model of PKP2 deficiency (PKP2cKO). By contrast to PKP2cKO ventricular myocytes, PKP2cKO atrial cardiomyocytes presented no significant differences in intracellular calcium (Ca2+ i) transient dynamics, sarcoplasmic reticulum load or action potential morphology. PKP2cKO atrial cardiomyocytes showed elevated reactive oxygen species levels, increased frequency and amplitude of Ca2+ sparks, and increased diastolic [Ca2+]i compared to control; the latter two parameters were further increased by isoproterenol exposure and reversed by exposure to ryanodine receptor blocker dantrolene. We speculate that these isoproterenol-dependent effects may impact on the exercise-related atrial arrhythmia risk in ARVC patients. Despite absence of changes in Ca2+ i transient dynamics, PKP2cKO atrial cardiomyocytes showed enhanced sarcomere shortening and impaired sarcomere relaxation. Orthogonal transcriptomic analysis of human(GTEx) and PKP2cKO atrial tissue led to identification of 41 transcripts depending on PKP2 expression. Biochemical follow-up confirmed reduced abundance of sarcomeric protein myosin binding protein C, potentially playing a role in cellular shortening and relaxation changes observed. Our findings provide novel insights into the role of PKP2 in atrial myocardium with potential implications to therapeutic management of atrial fibrillation in patients with PKP2-related ARVC. KEY POINTS: Atrial arrhythmias occur in a large group of patients with arrhythmogenic right ventricular cardiomyopathy (ARVC), a cardiac disease mostly caused by pathogenic variants in the desmosomal gene plakophilin-2 (PKP2). Exercise is considered to be an independent risk factor for arrhythmias consequent to PKP2 deficiency. Weshow that loss of PKP2 expression affects cellular calcium handling and electrophysiology differently in left atrial vs. ventricular myocardium and causes extensive atrial fibrosis. PKP2-deficient atrial cardiomyocytes present increased spontaneous sarcoplasmic reticulum calcium release events, furtherenhancedby isoproterenol exposure and reversiblebya ryanodine receptor blocker(dantrolene). In addition, PKP2-deficient atrial myocytes exhibit impaired relaxation and enhanced sarcomere shortening, most probably related to reduced abundance of myosin binding protein C. We speculate that cellular effects reported upon isoproterenol impact on the exercise-related atrial arrhythmia risk in ARVC patients. We further propose that therapeutic approaches aimed at mitigating ventricular damage may be effective to treat the atrial disease in ARVC.

Assessment of left atrial function using tissue motion annular displacement in healthy dogs.

Recently, tissue motion annular displacement by speckle tracking has been shown to be a reliable method for evaluating deformation of the left atrium in healthy dogs. The aim of this study was to investigate whether tissue motion annular displacement is a feasible alternative method for studying left atrial function. One hundred healthy dogs were included. Left atrial function was assessed by tissue motion annular displacement, which was correlated to the left atrial strain and biplane area-length method-derived volumes. Left atrial reservoir function was evaluated by left atrial global tissue motion annular displacement, global left atrial strain and left atrial emptying fraction, while left atrial systolic tissue motion annular displacement and left atrial ejection fraction were used to assess left atrial systolic function. A statistically significant association between body weight and the dependent variables others than age was found. Indexed global and systolic tissue motion annular displacement decreased as body weight increased. Global iTMAD_AIIometric (mm/∛kg) showed a moderate, positive correlation with left atrial emptying fraction and with global left atrial strain. Systolic iTMAD_AIIometric (mm/∛kg) showed a moderate correlation with left atrial ejection fraction. Coefficients of variation for the intraobserver and interobserver analyses were 8.3% and 20.3% for global and 10.5% and 18.9% for systolic tissue motion annular displacement, respectively. Tissue motion annular displacement is a feasible and simple method for the evaluation of left atrial function. Our study documented the effects of body weight on left atrial tissue motion annular displacement, indicating that tissue motion annular displacement must be indexed to body weight. No influence of age or heart rate was observed on tissue motion annular displacement.

The spatial overlap between left atrial epicardial adipose tissue and fibrosis is not associated to clinical stage of atrial fibrillation

Left atrial (LA) epicardial adipose tissue (EAT) and wall fibrosis are both proven to contribute to the pathogenesis and progression of atrial fibrillation (AF). The theory of LA wall fibrosis induction by local EAT infiltration, paracrine secretions, and activation of the inflammatory process is strongly advocated, but the imaging evidence for anatomical proximity of the two tissue types and its association to AF stage is lacking. Accordingly, the aim of the study was to analyse the spatial overlap between LA EAT and adjacent wall fibrosis using 3D Dixon water-fat separated late gadolinium enhancement (LGE-Dixon) MRI and correlate the findings with the clinical AF stage. Forty-two AF patients (18 paroxysmal, 10 persistent, and 14 permanent) and nine non-AF patients were scanned. The permanent AF patients had greater LA volume and EAT than the paroxysmal group. The LA fibrosis area showed the same trend. The LA EAT-fibrosis overlap area was small and there was no significant difference between the three AF stages. There was no significant relationship between LA EAT- fibrosis overlap area and AF type. The findings shed light on the complex interplay between LA fibrosis and EAT during the progression from paroxysmal to permanent AF.

Renal denervation ameliorates atrial remodeling in type 2 diabetic rats by regulating mitochondrial dynamics.

There is no effective treatment for diabetes-related atrial remodeling currently. This study aimed to investigate the effects of renal denervation (RDN) on diabetes-related atrial remodeling and explore the related mechanisms. A type 2 diabetes mellitus model was established by high-fat diet feeding and low-dose streptozotocin injection in Sprague‒Dawley rats. After successful modeling, the diabetic rats were randomly assigned to two groups according to whether they were subjected to RDN or sham RDN surgery. At the end of the experiment, cardiac function and structure were evaluated by echocardiography and histology, respectively. Mitochondrial morphology, function and mitochondrial dynamics were assessed by multiple methods. Mdivi1 was used to verify the mechanism by which RDN improves atrial remodeling. In the 10th week, diabetic rats exhibited obvious atrial remodeling, including atrial enlargement and diastolic dysfunction. Pathological staining showed that diabetic rats had cardiomyocyte hypertrophy and interstitial fibrosis in atrial tissues. In terms of mitochondrial morphology and function, diabetic rats exhibited fragmented mitochondria, reduced adenosine triphosphate production and decreased mitochondrial membrane potential levels. Abnormal mitochondrial dynamics in diabetic rats were characterized by the inhibition of mitochondrial fusion, excessive mitochondrial fission, and the suppression of mitophagy. However, RDN effectively ameliorated diabetes-induced pathological atrial remodeling. In addition, RDN significantly improved mitochondrial morphological and functional abnormalities and corrected the disorders of mitochondrial dynamics. Furthermore, the protective effects of RDN against atrial remodeling were related to the regulation of mitochondrial dynamics. RDN prevented diabetes-induced atrial remodeling. These protective effects might be related to improvements in mitochondrial dynamics.

Multi-physics simulations reveal hemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.

Left atrial (LA) fibrosis is associated with arrhythmogenesis and increased risk of ischemic stroke; its extent and pattern can be quantified on a patient-specific basis using late gadolinium enhancement magnetic resonance imaging.Current stroke risk prediction tools have limited personalization, and their accuracy could be improved by incorporating patient-specific information like fibrotic maps and hemodynamic patterns.We present the first electro-mechano-fluidic multi-physics computational simulations of LA flow, including fibrosis and anatomies from medical imaging. Mechanical changes in fibrotic tissue impair global LA motion, decreasing LA and left atrial appendage (LAA) emptying fractions, especially in subjects with higher fibrosis burdens. Fibrotic-mediated LA motion impairment alters LA and LAA flow near the endocardium and the whole cavity, ultimately leading to more stagnant blood regions in the LAA.

Amlexanox reduces new-onset atrial fibrillation risk in sepsis by downregulating S100A12: a Mendelian randomization study.

Sepsis is characterized by high morbidity and mortality rates, alongside limited therapeutic efficacy. Atrial fibrillation (AF), the most common arrhythmia, has been closely linked to sepsis in prior research. However, the specific mechanisms through which sepsis leads to new-onset AF remain poorly understood. This study focuses on identifying critical genes that are dysregulated in the development of new-onset AF within the context of sepsis, with the goal of uncovering new potential targets for its diagnosis and prevention. Our study began by applying Mendelian Randomization (MR) to assess the causal link between sepsis and AF. We then sourced sepsis and AF datasets from the Gene expression Omnibus (GEO) database. Using Weighted Gene Co-expression Network Analysis (WGCNA), we pinpointed key modules and genes associated with both sepsis and AF conditions. Protein-protein interaction (PPI) network was constructed. The Transcriptional Regulatory Relationships Unravelled by Sentence-based Text-mining (TRRUST) database helped build the transcription factor (TF) interaction network. Key genes were scrutinized through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) to delve into their roles in new-onset AF's pathophysiology during sepsis. We employed the CIBERSORT algorithm to evaluate immune infiltration and the association between key genes and immune cells. The Connectivity Map (CMap) database facilitated the prediction of potential small molecule compounds targeting key genes. To culminate, an acute sepsis mouse model was developed to validate the implicated mechanisms of key genes involved in new-onset AF during sepsis, and to assess the prophylactic effectiveness of identified drug candidates. MR revealed potential independent risk factors for new-onset AF in sepsis. S100A12 was identified as a core interaction gene with elevated levels in sepsis and AF, underscoring its diagnostic and predictive significance. S100A12, along with associated genes, was mainly linked to immune and inflammatory response signaling pathways, correlating with immune cell levels. Targeting S100A12 identifies five potential small molecule therapeutics: amlexanox, balsalazide, methandriol, olopatadine, and tiboloe. In animal studies, acute sepsis increased S100A12 expression in serum and atrial tissues, correlating positively with inflammatory markers (IL-1β, IL-6, TNF-α) and negatively with heart rate, indicating a predisposition to AF. Early amlexanox administration can reduced S100A12 expression, dampened inflammation, and lessened new-onset AF risk in sepsis. This study demonstrates that sepsis may independently increase the risk of new-onset AF. We identified S100A12 as a key gene influencing the new-onset AF in sepsis through immune regulation, presenting considerable diagnostic and predictive value. Notably, amlexanox, by targeting S100A12 emerges as the most clinical relevant intervention for managing new-onset AF in sepsis patients.

Quantifying the frequency modulation in electrograms during simulated atrial fibrillation in 2D domains

Atrial fibrillation (AF) affects millions of people in the world, causing increased morbidity and mortality. Treatment involves antiarrhythmic drugs and catheter ablation, showing high success for paroxysmal AF but challenges for persistent AF. Experimental evidence suggests reentrant waves and rotors contribute to AF substrates. Ablation procedures rely on electroanatomical maps and electrogram (EGM) signals; however, current methods used in clinical practice lack consideration for time–frequency varying EGM components. The fractional Fourier transform (FrFT) can be adopted to capture time-varying frequency components, thereby enhancing the comprehension of arrhythmogenic substrates during AF for improved ablation strategies. To this end, a FrFT-based algorithm is developed to characterize non-stationary components in EGM signals from simulated AF episodes. The proposed algorithm comprises a pre-processing step to enhance the coarser features of the EGM waveform, a windowing process for dynamic assessment of the EGM, and a FrFT order optimization stage that seeks compact signal representations in fractional Fourier domains. The resulting order is related to the rate of frequency change in the signal, making it a useful indicator for frequency-modulated components. The FrFT-based algorithm is implemented on EGM signals from AF simulations in 2D domains representing a region of the atrial tissue. Consequently, the computed optimum FrFT orders are used to build maps that are spatially correlated to the underlying propagation dynamics of the simulated AF episode. The results evince that the extreme values in the optimum orders map pinpoint the localization of fibrillatory mechanisms, generating EGM activation waveforms with varying frequency content over time.

Mechanisms of Chemical Atrial Defibrillation by Flecainide and Ibutilide.

Effective and safe pharmacological approaches for atrial defibrillation offer several potential advantages over techniques like ablation. Pharmacological therapy is noninvasive, involving no risk associated with the procedure or resulting complications. Moreover, acute drug intervention with existing drugs is likely to be low cost and broadly accessible, thereby addressing a central tenet of health equity. This study aims to investigate ibutilide-mediated action potential prolongation to promote use-dependent effects of flecainide on Na+ channels by reducing the diastolic interval and, consequently, drug unbinding to reduce action potential excitability in atrial tissue and terminate re-entrant arrhythmia. Here we utilize a modeling and simulation approach to predict the specific combinations of sodium- and potassium-channel blocking drugs to chemically terminate atrial re-entry. Computational modeling and simulation show that acute application of flecainide and ibutilide is a promising example of drug repurposing that may constitute a promising combination for chemical atrial defibrillation. We predict the drug concentrations that promote efficacy of flecainide and ibutilide used in combination for atrial chemical defibrillation. We also predict the potential safety pharmacology impact of this drugcombination on ventricular electrophysiology.

Pathogenesis and potential diagnostic biomarkers of atrial fibrillation in Chinese population: a study based on bioinfor-matics

To explore the pathogenesis and potential biomarkers of atrial fibrillation based on bioinformatics. Differentially expressed genes and module genes related to atrial fibrillation were obtained from GSE41177 and GSE79768 datasets (Chinese-origin tissue samples) through differential expression analysis and weighted gene co-expression network analysis. Candidate hub genes were obtained by taking intersections, and hub genes were obtained after gender stratification. Subsequently, functional enrichment analysis and immune infiltration analysis were performed. Four machine learning models were constructed based on the hub genes, and the optimal model was selected to construct a prediction nomogram. The prediction ability of the nomogram was verified using calibration curves and decision curves. Finally, potential therapeutic drugs for atrial fibrillation were screened from the DGIdb database. A total of 67 differentially expressed genes and 65 module genes related to atrial fibrillation were identified. Functional enrichment analysis indicated that the pathogenesis of atrial fibrillation was closely related to inflammatory response, immune response, and immune and infectious diseases. Four common hub genes (TYROBP, FCER1G, EVI2B and SOD2), and two genes specifically expressed in male (PILRA and SLC35G3) and female (HLA-DRA and GATP) patients with atrial fibrillation were obtained after gender-segregated screening. The extreme gradient boosting model had satisfactory diagnostic efficiency, and the nomogram constructed based on the hub genes, male significant variables (PILRA, SLC35G3 and SOD2), and female significant variables (FCER1G, SOD2 and TYROBP) had satisfactory predictive ability. Immune infiltration analysis demonstrated a disturbed immune infiltration microenvironment in atrial fibrillation with a higher abundance of plasma cells, neutrophils, and γδT cells, with a higher abundance of neutrophils in males and resting mast cells in females. Two potential drugs for the treatment of atrial fibrillation, valproic acid and methotrexate, were obtained by database and literature screening. The pathogenesis of atrial fibrillation is closely related to inflammation and immune response, and the microenvironment of immune cell infiltration of cardiomyocytes in the atrial tissue of patients with atrial fibrillation is disordered. TYROBP, FCER1G, EVI2B and SOD2 serve as potential diagnostic biomarkers of atrial fibrillation; PILRA and SLC35G3 serve as potential specific diagnostic biomarkers of atrial fibrillation in the male population, which can effectively predict the risk of atrial fibrillation development and are also potential targets for the treatment of atrial fibrillation.

Fractional-order modeling of myocardium structure effects on atrial fibrillation electrograms.

Atrial fibrillation (AF) is the most common cardiac arrhythmia with mechanisms of initiation and sustaining that are not fully understood. The clinical procedure for AF contemplates the analysis of the atrial electrograms, whose morphology has been correlated with the underlying structure of the atrial myocardium. This study employs a mathematical model incorporating fractional calculus to simulate cardiac electrical conduction, accounting for tissue structural inhomogeneities using complex-valued orders. Simulations of different wavefront propagation patterns were performed, and virtual electrograms were analyzed using an asymmetry factor. Our results evinced that the shapes of the action potential and the propagating wavefront can be modulated through the fractional order under both healthy and AF conditions. Moreover, the asymmetry factor changes with variations in the fractional order. For a given propagation pattern under AF conditions, variation intervals for the asymmetry factor can be generated by forming sets of simulations with different configurations for the fractional order, representing diverse samples of atrial tissue with varying degrees of structural heterogeneity. This approach successfully reproduces the electrogram negative deflection predominance seen in AF patients, which standard integer-order models cannot predict. Our fractional-order conduction model aligns with the effects of atrial structure on the electrical dynamics observed in clinical AF. Therefore, it offers a valuable tool for studying cardiac electrophysiology, encompassing both electrical and structural interactions of the tissue within a unified model.

Recent advances in understanding the roles of T cells in atrial fibrillation

Atrial fibrillation (AF) is a common arrhythmia associated with severe outcomes like heart failure and stroke. Recent studies highlight the crucial role of T in AF. Clinical studies have observed elevated levels of CD4+CD28null T cells, Th17/Treg cells, CD8+ cells, and related markers in the peripheral blood or atrial tissue of AF patients, correlating with disease severity and cardiovascular events. These T cell subsets contribute to AF through: (1) releasing inflammatory factors like TNF-α and IL-17 which affect calcium homeostasis and electrical activity in atrial myocytes and/or promote atrial fibrosis; (2) recruiting inflammatory cells such as macrophages, causing local inflammation, oxidative stress, and atrial remodeling; (3) secreting cytotoxic proteins like perforin and granzymes, inducing apoptosis in atrial myocytes and affecting their action potentials; (4) direct contact, influencing atrial myocyte electrophysiology. Understanding these T cell-mediated mechanisms may uncover new therapeutic targets for AF.

Repair of mitral paravalvular leak using left atrial appendage tissue.

Paravalvular leak after mitral valve replacement causes serious symptoms such as heart failure and haemolysis. However, whether re-replacement or direct leak site repair is the appropriate surgical treatment for this condition remains controversial. Herein, we describe a case of paravalvular leak repaired using left atrial appendage tissue with excellent results. The proposed technique enables the repair of a leak at the 9 o'clock position with healthy, full-thickness autologous tissue. For this method, the leak must be located near the left atrial appendage, and the left atrial appendage must not adhere to the pericardial sac. Although this technique can only be used under specific conditions, it is a useful option for cardiac surgeons.

Identification of ferroptosis biomarkers and immune infiltration landscapes in atrial fibrillation: A bioinformatics analysis.

Ferroptosis has been recognized as a critical factor in the development of atrial fibrillation (AF), but its precise mechanisms remain unclear. We downloaded the GSE115574 dataset from the gene expression omnibus database to analyze the expression levels of ferroptosis-related genes (FRGs) and identify differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) machine learning techniques were employed to identify key genes associated with AF. The diagnostic performance of these genes was evaluated using Receiver operating characteristic curves (ROC) and validated in an independent AF dataset. miRNA and lncRNA predictions for potential binding to these key genes were conducted using miRBase, miRDB, and TargetScan. Furthermore, gene set enrichment analysis (GSEA) enrichment analysis, immune cell infiltration analysis, and targeted drug prediction were performed. The intersection of LASSO regression and SVM-RFE analyses identified 7 DEGs significantly associated with AF. Validation through ROC and an additional dataset confirmed the importance of MAPK14, CAV1, and ADAM23. Significant infiltration of memory B cells, regulatory T cells, and monocytes was observed in atrial tissues. Seventy-two miRNAs were predicted to potentially target MAPK14, and 2 drugs were identified as targeting CAV1. This study underscores the involvement of FRGs in AF through machine learning and validation approaches. The observed immune cell infiltration suggests a potential link between immune response and AF. The predicted ceRNA network offers new insights into gene regulation, presenting potential biomarkers and therapeutic targets for AF.

Halofuginone ameliorates the susceptibility to atrial fibrillation by activating the PI3K/Akt signaling pathway.

Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice. Halofuginone (HF) exerts beneficial effects on organ fibrosis, periodontitis, and cancer. However, the effect of HF against AF remains unknown. During the induction of AF, the rats were intragastrically administered HF (5mg/kg and 10mg/kg) daily for 7 consecutive days. Cardiac function was evaluated through echocardiographic analysis. The presence of pathological changes and interstitial fibrosis in the left atrial tissues were investigated. Intracellular Ca2+ homeostasis and mitochondrial function in atrial tissues were evaluated. The activation of the PI3K/Akt signaling pathway was examined, and an allosteric Akt inhibitor, MK-2206, was applied to confirm the involvement of the PI3K/Akt signaling pathway in the protection against AF by HF. The administration of HF resulted in a prolongation of the atrial effective refractory period (AERP), a reduction in both the duration and inducibility of AF, and a decrease in atrial weight, heart weight, atrial weight/body weight ratio, and heart weight/body weight ratio in rats with AF. In addition, the administration of HF resulted in a reduction in left atrial diameter (LAD) and an increase in left ventricular internal diameter diastolic (LVIDd), ejection fraction (EF), and fractional shortening (FS), while having no effect on left ventricular internal diameter systolic (LVIDs). The pathological changes and cardiac fibrosis observed in rats with AF were mitigated by HF. Moreover, HF enhanced mitochondrial function, suppressed cardiomyocyte apoptosis, and activated the PI3K/Akt pathway in AF rats. Furthermore, the protective effect against AF was also observed in an in vitro model. The effects of HF on fibrosis markers, intracellular Ca2+ homeostasis, mitochondrial function, and cardiac apoptosis were blocked by MK-2206. HF alleviated the susceptibility to AF in vivo and in vitro via the activation of the PI3K/Akt signaling pathway.