Cargando…

Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation

Alternations of gut microbiota (GM) in atrial fibrillation (AF) with elevated diversity, perturbed composition and function have been described previously. The current work aimed to assess the association of GM composition with AF recurrence (RAF) after ablation based on metagenomic sequencing and m...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jing, Zuo, Kun, Zhang, Jing, Hu, Chaowei, Wang, Pan, Jiao, Jie, Liu, Zheng, Yin, Xiandong, Liu, Xiaoqing, Li, Kuibao, Yang, Xinchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701499/
https://www.ncbi.nlm.nih.gov/pubmed/33058365
http://dx.doi.org/10.1111/jcmm.15959
_version_ 1783616484442898432
author Li, Jing
Zuo, Kun
Zhang, Jing
Hu, Chaowei
Wang, Pan
Jiao, Jie
Liu, Zheng
Yin, Xiandong
Liu, Xiaoqing
Li, Kuibao
Yang, Xinchun
author_facet Li, Jing
Zuo, Kun
Zhang, Jing
Hu, Chaowei
Wang, Pan
Jiao, Jie
Liu, Zheng
Yin, Xiandong
Liu, Xiaoqing
Li, Kuibao
Yang, Xinchun
author_sort Li, Jing
collection PubMed
description Alternations of gut microbiota (GM) in atrial fibrillation (AF) with elevated diversity, perturbed composition and function have been described previously. The current work aimed to assess the association of GM composition with AF recurrence (RAF) after ablation based on metagenomic sequencing and metabolomic analyses and to construct a GM‐based predictive model for RAF. Compared with non‐AF controls (50 individuals), GM composition and metabolomic profile were significantly altered between patients with recurrent AF (17 individuals) and non‐RAF group (23 individuals). Notably, discriminative taxa between the non‐RAF and RAF groups, including the families Nitrosomonadaceae and Lentisphaeraceae, the genera Marinitoga and Rufibacter and the species Faecalibacterium spCAG:82, Bacillus gobiensis and Desulfobacterales bacterium PC51MH44, were selected to construct a taxonomic scoring system based on LASSO analysis. After incorporating the clinical factors of RAF, taxonomic score retained a significant association with RAF incidence (HR = 2.647, P = .041). An elevated AUC (0.954) and positive NRI (1.5601) for predicting RAF compared with traditional clinical scoring (AUC = 0.6918) were obtained. The GM‐based taxonomic scoring system theoretically improves the model performance, and the nomogram and decision curve analysis validated the clinical value of the predicting model. These data provide novel possibility that incorporating the GM factor into future recurrent risk stratification.
format Online
Article
Text
id pubmed-7701499
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-77014992020-12-08 Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation Li, Jing Zuo, Kun Zhang, Jing Hu, Chaowei Wang, Pan Jiao, Jie Liu, Zheng Yin, Xiandong Liu, Xiaoqing Li, Kuibao Yang, Xinchun J Cell Mol Med Original Articles Alternations of gut microbiota (GM) in atrial fibrillation (AF) with elevated diversity, perturbed composition and function have been described previously. The current work aimed to assess the association of GM composition with AF recurrence (RAF) after ablation based on metagenomic sequencing and metabolomic analyses and to construct a GM‐based predictive model for RAF. Compared with non‐AF controls (50 individuals), GM composition and metabolomic profile were significantly altered between patients with recurrent AF (17 individuals) and non‐RAF group (23 individuals). Notably, discriminative taxa between the non‐RAF and RAF groups, including the families Nitrosomonadaceae and Lentisphaeraceae, the genera Marinitoga and Rufibacter and the species Faecalibacterium spCAG:82, Bacillus gobiensis and Desulfobacterales bacterium PC51MH44, were selected to construct a taxonomic scoring system based on LASSO analysis. After incorporating the clinical factors of RAF, taxonomic score retained a significant association with RAF incidence (HR = 2.647, P = .041). An elevated AUC (0.954) and positive NRI (1.5601) for predicting RAF compared with traditional clinical scoring (AUC = 0.6918) were obtained. The GM‐based taxonomic scoring system theoretically improves the model performance, and the nomogram and decision curve analysis validated the clinical value of the predicting model. These data provide novel possibility that incorporating the GM factor into future recurrent risk stratification. John Wiley and Sons Inc. 2020-10-14 2020-11 /pmc/articles/PMC7701499/ /pubmed/33058365 http://dx.doi.org/10.1111/jcmm.15959 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Li, Jing
Zuo, Kun
Zhang, Jing
Hu, Chaowei
Wang, Pan
Jiao, Jie
Liu, Zheng
Yin, Xiandong
Liu, Xiaoqing
Li, Kuibao
Yang, Xinchun
Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title_full Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title_fullStr Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title_full_unstemmed Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title_short Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
title_sort shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701499/
https://www.ncbi.nlm.nih.gov/pubmed/33058365
http://dx.doi.org/10.1111/jcmm.15959
work_keys_str_mv AT lijing shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT zuokun shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT zhangjing shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT huchaowei shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT wangpan shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT jiaojie shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT liuzheng shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT yinxiandong shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT liuxiaoqing shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT likuibao shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation
AT yangxinchun shiftsingutmicrobiomeandmetabolomeareassociatedwithriskofrecurrentatrialfibrillation