Proteomics and Recurrence of Atrial Fibrillation: A Pilot Study Nested in the PREDIMAR Trial.

IF 2 4区 医学 Q3 GENETICS & HEREDITY
Lifestyle Genomics Pub Date : 2025-01-01 Epub Date: 2025-01-24 DOI:10.1159/000543639
Cristina Razquin, Joaquín Fernandez-Irigoyen, María Teresa Barrio-López, Begoña López, Susana Ravassa, Pablo Ramos, Rosa Macías-Ruíz, Alicia Ibañez Criado, Enrique Santamaría, Leticia Goni, Eduardo Castellanos, Jose Luis Ibañez Criado, Luis Tercedor, Ignacio García-Bolao, Miguel A Martínez-González, Jesús Almendral, Miguel Ruiz-Canela
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引用次数: 0

Abstract

Introduction: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide. Although catheter ablation is the most efficacious therapy, relapses occur frequently (30%) in the first year after ablation. Novel biomarkers of recurrence are needed for a better prediction of recurrence and management of AF. In this pilot study, we aimed to analyze the baseline proteome of subjects included in a case-control study to find differential proteins associated with AF recurrence.

Methods: Baseline serum proteomics (354 proteins) data from 16 cases (recurrent AF) and 17 controls (non-recurrent) were obtained using MS/MS analysis. A false discovery rate was performed using a nonlinear fitting method for the selection of proteins. Logistic regression models were used to further analyze the association between differentially expressed proteins and AF recurrence.

Results: Ten proteins were differentially represented in cases vs. controls. Two were upregulated in the cases compared to the controls: keratin type I cytoskeletal 17 (Fold-change [FC] = 2.14; p = 0.017) and endoplasmic bifunctional protein (FC = 1.65; p = 0.032). Eight were downregulated in the cases compared to the controls: C4bpA (FC = 0.64; p = 0.006), coagulation factor XI (FC = 0.83; p = 0.011), CLIC1 (FC = 0.62; p = 0.017), haptoglobin (FC = 0.37; p = 0.021), Ig alpha-2 chain C region (FC = 0.49; p = 0.022), C4bpB (FC = 0.73; p = 0.028), N-acetylglucosamine-1-phosphotransferase subunit gamma (FC = 0.61; p = 0.033), and platelet glycoprotein Ib alpha chain (FC = 0.84; p = 0.038).

Conclusion: This pilot study identifies ten differentially expressed serum proteins associated with AF recurrence, offering potential biomarkers for improved prediction and management.

蛋白质组学和房颤复发:PREDIMAR试验中的一项试点研究。
心房颤动(AF)是世界范围内最常见的持续性心律失常。虽然导管消融术是最有效的治疗方法,但在消融术后的第一年,复发发生率很高(30%)。为了更好地预测房颤的复发和治疗,需要新的复发生物标志物。在这项初步研究中,我们旨在分析病例对照研究中受试者的基线蛋白质组,以发现与房颤复发相关的差异蛋白。方法:采用质谱联用(MS/MS)分析,获得16例复发性房颤患者和17例非复发性房颤患者的基线血清蛋白质组学(354个蛋白)数据。错误发现率采用非线性拟合方法来选择蛋白质。采用Logistic回归模型进一步分析差异表达蛋白与房颤复发之间的关系。结果:病例与对照组中有10种蛋白存在差异。与对照组相比,两种蛋白表达上调:角蛋白I型细胞骨架17 (FC=2.14;p=0.017)和内质双功能蛋白(Fold-change [FC]=1.65;p = 0.032)。与对照组相比,有8种基因表达下调:C4bpA (FC=0.64;p=0.006),凝血因子XI (FC=0.83;p=0.011), CLIC1 (FC=0.62;p=0.017),触珠蛋白(FC=0.37;p=0.021), Ig α -2链C区(FC=0.49;p=0.022), C4bpB (FC=0.73;p=0.028), n -乙酰氨基-1-磷酸转移酶亚基γ (FC=0.61;p=0.033)和血小板糖蛋白Ib α链(FC=0.84;p = 0.038)。结论:本初步研究确定了10种与房颤复发相关的差异表达血清蛋白,为改善预测和管理提供了潜在的生物标志物。
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来源期刊
Lifestyle Genomics
Lifestyle Genomics Agricultural and Biological Sciences-Food Science
CiteScore
4.00
自引率
7.70%
发文量
11
审稿时长
28 weeks
期刊介绍: Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.
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