Literature DB >> 30167539

Reply: The Role of Pro-Fibrotic Biomarkers in Atrial Fibrillation: How Good Are We in the Translational Interpretation?

Yoshio Takemoto, Kuljeet Kaur, Hakan Oral, José Jalife.   

Abstract

Entities:  

Year:  2016        PMID: 30167539      PMCID: PMC6113409          DOI: 10.1016/j.jacbts.2016.09.002

Source DB:  PubMed          Journal:  JACC Basic Transl Sci        ISSN: 2452-302X


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We appreciate the interest of Drs. Kornej and Bollmann in our work, and their kind words about our recent paper (1). For the most part, their letter focuses on the challenge of translating our experimental findings “to ‘real-world’ (multi)morbid patients.” In criticizing our paper, Drs. Kornej and Bollmann base their arguments on both unpublished data and a published study (2) in which they were unable to find any differences in galectin (Gal)-3 levels in blood from the left atrium, the coronary sinus, and a peripheral vein. They concluded that higher Gal-3 levels in patients with atrial fibrillation (AF) are likely to be mediated by cardiometabolic disturbances rather than by AF itself. One cannot argue with unpublished data, which remain anecdotal. However, we can look at their published data that do show higher Gal-3 levels in blood from their AF cohort relative to their AF-free cohort (2), which is a result that certainly agrees with ours. However, unlike our data, Kornej et al. (2) found no relationship between Gal-3 levels and AF recurrence. Here, we argue, the difference was in experimental design. The elevated CHADS2 (congestive heart failure, hypertension, age ≥75 years, diabetes, previous stroke) and CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes, previous stroke, vascular disease, age 65 to 74 years, sex category [female]) scores of their AF patients suggested that they had significant comorbidities, which may have confused the results. Notably, our translational approach, which was on the basis of a large animal model of lone AF with no heart failure or other comorbidities, required specific exclusion criteria in our patients. This enabled us to focus on biomarkers related to AF-related changes in the absence of comorbidities. Consequently, our data speak for themselves: experimentally they demonstrate for the first time that Gal-3 mediates sustained AF-induced atrial structural and electrical remodeling and contributes to AF perpetuation (1). In selected patients, intracardiac serum Gal-3 levels were greater in persistent than paroxysmal AF, and the Gal-3 level was an independent predictor of AF recurrences after a single ablation procedure (1). Now, coming back to the issue of “’real-world’ (multi)morbid patients,” we are not disputing the importance of considering Gal-3 as a marker of cardiometabolic disease. In fact, Gal-3 has been shown to be involved in many diseases; recent studies have focused on the effects of Gal-3 on adipocytes, and it is difficult to exclude the importance of obesity in the pathogenesis of AF (3). However, it is again essential to recall that our tachypacing model leads to Gal-3 elevation and persistent AF unaffected by comorbidities, which strongly supports the involvement of Gal-3 in the mechanism of AF progression and AF recurrence after ablation. In this regard, Drs. Kornej and Bollmann seem to have missed the paper by Wu et al. (4), which also reported that patients who experienced recurrences after AF ablation had significantly higher Gal-3 levels in peripheral vein blood (p = 0.007) than those who did not experience such recurrences. One important difference among the 3 studies was the length of the follow-up period. In the study by Kornej et al. (2), the follow-up period was reported to be 6 months; Wu et al. (4) followed their patients for about 17 months; and we (1) used a 12-month follow-up period. Although in the report by Kornej et al. (2) Gal-3 levels did not correlate with AF recurrences, in the latter 2 studies it did, and very strongly. Therefore, it seems likely that longer follow-up periods might be necessary to see a relation between Gal-3 and AF recurrence outcome after catheter ablation. Finally, we certainly agree that translating laboratory observations to clinical utility is challenging and requires caution. Effective translational research is hampered by a poor understanding of the biology of disease. Notably, despite more than 100 years of progress in basic research in AF biology, today we do not adequately understand the pathogenesis of human AF. To our knowledge, our study is the first of its kind to address it systematically, aiming to understand how human AF perpetuation, apparent at the whole-organism scale, emerges from molecular, cellular, tissue, organ, and organ-system interactions. Therefore, we submit that our study is a clear example of successful translational research, which is a function of not only the quality of the science, but also appropriate design and effective collaboration between the scientist and the clinician.
  4 in total

1.  Plasma galectin-3 predicts clinical outcomes after catheter ablation in persistent atrial fibrillation patients without structural heart disease.

Authors:  Xiao-Yan Wu; Song-Nan Li; Song-Nan Wen; Jun-Gang Nie; Wen-Ning Deng; Rong Bai; Nian Liu; Ri-Bo Tang; Ting Zhang; Xin Du; Jian-Zeng Dong; Chang-Sheng Ma
Journal:  Europace       Date:  2015-04-28       Impact factor: 5.214

Review 2.  Atrial Fibrillation Susceptibility in Obesity: An Excess Adiposity and Fibrosis Complicity?

Authors:  Sandeep V Pandit; Justus Anumonwo; José Jalife
Journal:  Circ Res       Date:  2016-05-13       Impact factor: 17.367

3.  Galectin-3 in patients with atrial fibrillation undergoing radiofrequency catheter ablation.

Authors:  Jelena Kornej; Josephin Schmidl; Laura Ueberham; Silke John; Sait Daneschnejad; Borislav Dinov; Gerhard Hindricks; Volker Adams; Daniela Husser; Andreas Bollmann
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

4.  Galectin-3 Regulates Atrial Fibrillation Remodeling and Predicts Catheter Ablation Outcomes.

Authors:  Yoshio Takemoto; Rafael J Ramirez; Miki Yokokawa; Kuljeet Kaur; Daniela Ponce-Balbuena; Mohamad C Sinno; B Cicero Willis; Hamid Ghanbari; Steven R Ennis; Guadalupe Guerrero-Serna; Bettina C Henzi; Rakesh Latchamsetty; Roberto Ramos-Mondragon; Hassan Musa; Raphael P Martins; Sandeep V Pandit; Sami F Noujaim; Thomas Crawford; Krit Jongnarangsin; Frank Pelosi; Frank Bogun; Aman Chugh; Omer Berenfeld; Fred Morady; Hakan Oral; José Jalife
Journal:  JACC Basic Transl Sci       Date:  2016-04
  4 in total

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