Gut microbiome and atrial fibrillation—results from a large population-based study
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Gut microbiome and atrial fibrillation—results from a large population-based study. / Palmu, Joonatan; Börschel, Christin S.; Ortega-Alonso, Alfredo; Markó, Lajos; Inouye, Michael; Jousilahti, Pekka; Salido, Rodolfo A.; Sanders, Karenina; Brennan, Caitriona; Humphrey, Gregory C.; Sanders, Jon G.; Gutmann, Friederike; Linz, Dominik; Salomaa, Veikko; Havulinna, Aki S.; Forslund, Sofia K.; Knight, Rob; Lahti, Leo; Niiranen, Teemu; Schnabel, Renate B.
In: EBioMedicine, Vol. 91, 104583, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Gut microbiome and atrial fibrillation—results from a large population-based study
AU - Palmu, Joonatan
AU - Börschel, Christin S.
AU - Ortega-Alonso, Alfredo
AU - Markó, Lajos
AU - Inouye, Michael
AU - Jousilahti, Pekka
AU - Salido, Rodolfo A.
AU - Sanders, Karenina
AU - Brennan, Caitriona
AU - Humphrey, Gregory C.
AU - Sanders, Jon G.
AU - Gutmann, Friederike
AU - Linz, Dominik
AU - Salomaa, Veikko
AU - Havulinna, Aki S.
AU - Forslund, Sofia K.
AU - Knight, Rob
AU - Lahti, Leo
AU - Niiranen, Teemu
AU - Schnabel, Renate B.
N1 - Publisher Copyright: © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - Background: Atrial fibrillation (AF) is an important heart rhythm disorder in aging populations. The gut microbiome composition has been previously related to cardiovascular disease risk factors. Whether the gut microbial profile is also associated with the risk of AF remains unknown. Methods: We examined the associations of prevalent and incident AF with gut microbiota in the FINRISK 2002 study, a random population sample of 6763 individuals. We replicated our findings in an independent case–control cohort of 138 individuals in Hamburg, Germany. Findings: Multivariable-adjusted regression models revealed that prevalent AF (N = 116) was associated with nine microbial genera. Incident AF (N = 539) over a median follow-up of 15 years was associated with eight microbial genera with false discovery rate (FDR)-corrected P < 0.05. Both prevalent and incident AF were associated with the genera Enorma and Bifidobacterium (FDR-corrected P < 0.001). AF was not significantly associated with bacterial diversity measures. Seventy-five percent of top genera (Enorma, Paraprevotella, Odoribacter, Collinsella, Barnesiella, Alistipes) in Cox regression analyses showed a consistent direction of shifted abundance in an independent AF case–control cohort that was used for replication. Interpretation: Our findings establish the basis for the use of microbiome profiles in AF risk prediction. However, extensive research is still warranted before microbiome sequencing can be used for prevention and targeted treatment of AF. Funding: This study was funded by European Research Council, German Ministry of Research and Education, Academy of Finland, Finnish Medical Foundation, and the Finnish Foundation for Cardiovascular Research, the Emil Aaltonen Foundation, and the Paavo Nurmi Foundation.
AB - Background: Atrial fibrillation (AF) is an important heart rhythm disorder in aging populations. The gut microbiome composition has been previously related to cardiovascular disease risk factors. Whether the gut microbial profile is also associated with the risk of AF remains unknown. Methods: We examined the associations of prevalent and incident AF with gut microbiota in the FINRISK 2002 study, a random population sample of 6763 individuals. We replicated our findings in an independent case–control cohort of 138 individuals in Hamburg, Germany. Findings: Multivariable-adjusted regression models revealed that prevalent AF (N = 116) was associated with nine microbial genera. Incident AF (N = 539) over a median follow-up of 15 years was associated with eight microbial genera with false discovery rate (FDR)-corrected P < 0.05. Both prevalent and incident AF were associated with the genera Enorma and Bifidobacterium (FDR-corrected P < 0.001). AF was not significantly associated with bacterial diversity measures. Seventy-five percent of top genera (Enorma, Paraprevotella, Odoribacter, Collinsella, Barnesiella, Alistipes) in Cox regression analyses showed a consistent direction of shifted abundance in an independent AF case–control cohort that was used for replication. Interpretation: Our findings establish the basis for the use of microbiome profiles in AF risk prediction. However, extensive research is still warranted before microbiome sequencing can be used for prevention and targeted treatment of AF. Funding: This study was funded by European Research Council, German Ministry of Research and Education, Academy of Finland, Finnish Medical Foundation, and the Finnish Foundation for Cardiovascular Research, the Emil Aaltonen Foundation, and the Paavo Nurmi Foundation.
KW - Atrial fibrillation
KW - Epidemiology
KW - Gut microbiome
KW - Metagenomics
UR - http://www.scopus.com/inward/record.url?scp=85153515799&partnerID=8YFLogxK
U2 - 10.1016/j.ebiom.2023.104583
DO - 10.1016/j.ebiom.2023.104583
M3 - Journal article
C2 - 37119735
AN - SCOPUS:85153515799
VL - 91
JO - EBioMedicine
JF - EBioMedicine
SN - 2352-3964
M1 - 104583
ER -
ID: 347000256