肠道微生物群代谢紊乱与冠状动脉旁路移植术后心房颤动有关

Yuhua Liu, Zhiyong Du, Yingyuan Lu, Ying Ma, Yunxiao Yang, Florian Osmanaj, Yifan Zhang, Xiaoyu Guo, Yanwen Qin, Xiubin Yang, Kun Hua
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引用次数: 0

摘要

术后心房颤动(POAF)是冠状动脉旁路移植(CABG)手术后常见的并发症。肠道微生物群及其代谢物与心房颤动的发生有关。然而,肠道-宿主代谢相互作用是否会导致 POAF 仍是未知数。本研究旨在调查与 POAF 相关的肠道微生物群代谢生物标志物及相关风险模型。发现队列中的 POAF 患者(30 人)和非 POAF 患者(60 人)表现出明显不同的微生物组和代谢组特征。这些差异特征主要与胆汁酸(BA)和短链脂肪酸代谢、炎症和氧化应激有关。随机森林分析发现,五种次级胆汁酸的组合在预测发现队列中的 POAF 方面显示出强大的性能,曲线下面积(AUC = 0.954)和正确分类率(CCR,93.3%)均达到显著值。此外,基于五个二级生物碱的风险模型在独立验证队列中区分 POAF(114 人)和非 POAF(253 人)时也表现出良好的性能(AUC = 0.872;CCR = 90.4%)。这项研究揭示了 POAF 中紊乱的微生物和代谢特征,为预测和预防 CABG 后的 POAF 提供了潜在的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gut microbiota metabolism disturbance is associated with postoperative atrial fibrillation after coronary artery bypass grafting

Gut microbiota metabolism disturbance is associated with postoperative atrial fibrillation after coronary artery bypass grafting
Postoperative atrial fibrillation (POAF) is a common complication after coronary artery bypass grafting (CABG) surgery. Gut microbiota and its metabolites have been implicated in the development of AF. However, whether the gut–host metabolic interaction contributes to POAF is still unknown. This study aimed to investigate the POAF-associated gut microbiota metabolism biomarkers and related risk model. The POAF (N = 30) patients and non-POAF (N = 60) patients from the discovery cohort exhibited significantly different microbiome and metabolome profiles. The differentiated features were mainly implicated in the bile acids (BAs) and short-chain fatty acids metabolism, inflammation, and oxidative stress. Random forest analysis identified the combination of five secondary BAs showed a powerful performance on predicting POAF in the discovery cohort, highlighting significant values of area under the curve (AUC = 0.954) and correct classification rate (CCR, 93.3%). In addition, the five secondary BAs-based risk model also exhibited good performance in differentiating the POAF (N = 114) and non-POAF individuals (N = 253) in an independent validation cohort (AUC = 0.872; CCR = 90.4%). This work revealed perturbed microbial and metabolic traits in POAF, providing potential avenues for the prediction and prevention of POAF after CABG.
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