The role of adiposity in atrial fibrillation pathogenesis – An area of growing scientific and clinical interest
Notice bibliographique
Résumé
Obesity is a well-recognized independent and modifiable risk factor for a range of cardiovascular diseases, including atrial fibrillation (AF).1Foy A.J. Mandrola J. Liu G. Naccarelli G.V. Relation of obesity to new-onset atrial fibrillation and atrial flutter in adults.Am J Cardiol. 2018; 121: 1072-1075Abstract Full Text Full Text PDF PubMed Scopus (21) Google Scholar Epidemiological studies demonstrate that a rise in body mass index is paralleled by an increased risk of AF.2Wong C.X. Sullivan T. Sun M.T. et al.Obesity and the risk of incident, post-operative, and post-ablation atrial fibrillation: a meta-analysis of 626,603 individuals in 51 studies.JACC Clin Electrophysiol. 2015; 1: 139-152Crossref PubMed Scopus (122) Google Scholar A major breakthrough in our understanding of obesity is the appreciation of the difference between adipose tissue depots and their associated risk: visceral adipose tissue appears to be better correlated with the cardiovascular risk compared to subcutaneous adipose tissue.3Fox C.S. Massaro J.M. Hoffmann U. et al.Abdominal visceral and subcutaneous adipose tissue compartments association with metabolic risk factors in the Framingham Heart Study.Circulation. 2007; 116: 39-48Crossref PubMed Scopus (1833) Google Scholar The roles of overall body obesity and visceral fat and their relative contributions to the pathophysiology of AF are not fully elucidated. Left atrial (LA) enlargement is associated with obesity and correlates with AF risk.4Cozma D. Popescu B.A. Lighezan D. et al.Left atrial remodeling: assessment of size and shape to detect vulnerability to atrial fibrillation.Pacing Clin Electrophysiol. 2007; 30: 147-150PubMed Google Scholar Moreover, epicardial adipose tissue (EAT), a type of visceral fat, has also been associated with AF.5Thanassoulis G. Massaro J.M. O’Donnell C.J. et al.Pericardial fat is associated with prevalent atrial fibrillation: The Framingham Heart Study.Circ Arrhythm Electrophysiol. 2010; 3: 345-350Crossref PubMed Scopus (266) Google Scholar,6Wong C.X. Sun M.T. Odutayo A. et al.Associations of epicardial, abdominal, and overall adiposity with atrial fibrillation.Circ Arrhythm Electrophysiol. 2016; 9e004378https://doi.org/10.1161/CIRCEP.116.004378Crossref PubMed Scopus (68) Google Scholar Epicardial fat is a metabolically active, beige adipose tissue that plays the role of a local energy supply and functions as an endocrine organ that secretes a number of adipokines. These metabolically active molecules can freely diffuse into the adjacent myocardium and may be associated with myocardial inflammation, which leads to myocardial fibrosis.7Haemers P. Hamdi H. Guedj K. et al.Atrial fibrillation is associated with the fibrotic remodelling of adipose tissue in the subepicardium of human and sheep atria.Eur Heart J. 2017; 38: 53-61Crossref PubMed Scopus (115) Google Scholar This paracrine effect is facilitated by the fact that EAT and the neighboring myocardium share a common microcirculation and are not separated by any fascial bounderies.8Iacobellis G. Corradi D. Sharma A.M. Epicardial adipose tissue: anatomic, biomolecular and clinical relationships with the heart.Nat Clin Pract Cardiovasc Med. 2005; 2: 536-543Crossref PubMed Scopus (667) Google Scholar In addition, direct EAT infiltration into the myocardium is postulated as another potential mechanism of AF pathogenesis.9Mahajan R. Lau D.H. Brooks A.G. et al.Electrophysiological, electroanatomical, and structural remodeling of the atria as consequences of sustained obesity.J Am Coll Cardiol. 2015; 66: 1-11Crossref PubMed Scopus (216) Google Scholar EAT also harbors a large number of ganglionated plexi (part of the autonomic nervous system), which also play a significant role in AF pathogenesis.10Pokushalov E. Kozlov B. Romanov A. et al.Long-term suppression of atrial fibrillation by botulinum toxin injection into epicardial fat pads in patients undergoing cardiac surgery: one year follow up of a randomized pilot study.Circ Arrhythm Electrophysiol. 2015; 8: 1334-1341Crossref PubMed Scopus (59) Google Scholar Noninvasive assessment and quantification of EAT can be achieved by echocardiographic measurement of its thickness on the free wall of the right ventricle, where it is usually more prominent.11Singh N. Singh H. Khanijoun H.K. Iacobellis G. Echocardiographic assessment of epicardial adipose tissue - a marker of visceral adiposity.Mcgill J Med. 2007; 10: 26-30PubMed Google Scholar This does not allow for accurate volumetric EAT estimates compared to more advanced noninvasive imaging methods such as cardiac magnetic resonance imaging and computed tomography (CT). Abe and colleagues12Abe I. Teshima Y. Kondo H. et al.Association of fibrotic remodeling and cytokines/chemokines content in epicardial adipose tissue with atrial myocardial fibrosis in patients with atrial fibrillation.Heart Rhythm. 2018; 15: 1717-1727Abstract Full Text Full Text PDF PubMed Scopus (60) Google Scholar recently demonstrated that fibrotic remodeling in EAT around the left atrium is associated with LA myocardial fibrosis as a main substrate for AF. On the other hand, Antonopoulos and colleagues13Antonopoulos A.S. Sanna F. Sabharwal N. et al.Detecting human coronary inflammation by imaging perivascular fat.Sci Transl Med. 2017; 9eaal2658https://doi.org/10.1126/scitranslmed.aal2658Crossref PubMed Scopus (235) Google Scholar recently described a method that enables reliable tracking of inflammation in the human coronaries by characterizing changes in the perivascular adipose tissue CT attenuation. Based on a similar concept, Ishii and colleagues,14Ishii Y. Abe I. Kira S. et al.Detection of fibrotic remodeling of epicardial adipose tissue in patients with atrial fibrillation: imaging approach based on histological observation.Heart Rhythm O2. 2021; 2: 311-323Abstract Full Text Full Text PDF Google Scholar in this issue of Heart Rhythm O2, tested the hypothesis that determining the percent change (%change) in EAT fat attenuation using CT images noninvasively predicts LA fibrotic remodeling. The investigators studied the EAT of the LA appendage obtained from 76 patients with AF undergoing cardiovascular surgery. Histologically, the authors demonstrated that the adipocyte diameter was smaller, atrial tissue fibrosis was more severe, and macrophage/myofibroblast infiltration was more abundant in marginal (M) EAT compared to central (C) EAT. A positive correlation was also demonstrated between fibrotic remodeling of EAT and the C/M diameter ratio (r = 0.73, P < .01). The authors also noted, through CT imaging, a positive correlation between %change in EAT fat attenuation and EAT fibrosis (r = 0.47, P < .01). Finally, EAT fibrosis, C/M diameter ratio, and %change in EAT fat attenuation were shown to be greater in patients with persistent AF as compared to those with paroxysmal AF. The authors are congratulated on performing this rigorous study describing a noninvasive novel imaging technique to localize EAT fibrosis and correlating it with underlying LA appendage tissue fibrosis. Three important limitations are worth mentioning: (1) the lack of a control group without AF, (2) the small number of patients included in the microarray analysis, and (3) the retrospective use of CT images, which lead a to slightly reduced accuracy of the %change in EAT fat attenuation calculation. At present these findings are limited to the context of AF patients undergoing cardiovascular surgery. Whether this surgical population is representative of the larger AF population is unproven. As our understanding of the correlation between AF and EAT continues to improve with a growing number of studies examining this relationship, one aspect of this correlation that remains rather underevaluated is the difference between EAT sub-depots. Distinct gene expression profiles were demonstrated by Gaborit and colleagues15Gaborit B. Venteclef N. Ancel P. et al.Human epicardial adipose tissue has a specific transcriptomic signature depending on its anatomical peri-atrial, peri-ventricular, or peri-coronary location.Cardiovasc Res. 2015; 108: 62-73Crossref PubMed Scopus (103) Google Scholar in periatrial, pericoronary, and periventricular EAT sub-depots, demonstrating that periatrial fat uniquely expresses genes implicated in oxidative phosphorylation, muscular contraction, and calcium signaling, lending support to the notion that periatrial EAT was better correlated with AF than other EAT sub-depots. Differences within the periatrial EAT itself have also not been well characterized yet. In a recent study by Nalliah and colleagues,16Nalliah C.J. Bell J.R. Raaijmakers A.J.A. et al.Epicardial adipose tissue accumulation confers atrial conduction abnormality.J Am Coll Cardiol. 2020; 76: 1197-1211Crossref PubMed Scopus (25) Google Scholar the right atrial appendage was surgically excised from 19 consecutive patients undergoing coronary artery bypass grafting, and researchers demonstrated that local EAT accumulation affects myocardial electrophysiology by direct infiltration and tissue myocyte disruption, local fibrosis, and gap junction remodeling. Therefore, whether LA appendage EAT, which was studied by Ishii and colleagues, carries similar characteristics to other periatrial EAT is still to be elucidated. Ishii and colleagues have successfully identified a method to localize LA fibrosis noninvasively through periatrial EAT fat attenuation change on CT imaging. This sets the stage for future studies that leverage this novel finding. One direction may be to guide a substrate modification strategy in AF (persistent AF in particular) ablation. Other directions for future investigation include therapies targeting EAT using specific drugs (antidiabetics and lipid-lowering drugs) and weight loss strategies to demonstrate a positive impact on LA remodeling. This work is partially supported by the John Locke Charitable Trust to Nazem Akoum.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».