Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study
Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and bio...
Ausführliche Beschreibung
Autor*in: |
Chenglin Ye [verfasserIn] Zhiqiang Li [verfasserIn] Chun Ye [verfasserIn] Li Yuan [verfasserIn] Kailang Wu [verfasserIn] Chengliang Zhu [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Übergeordnetes Werk: |
In: Microorganisms - MDPI AG, 2013, 12(2024), 2, p 370 |
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Übergeordnetes Werk: |
volume:12 ; year:2024 ; number:2, p 370 |
Links: |
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DOI / URN: |
10.3390/microorganisms12020370 |
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Katalog-ID: |
DOAJ098465260 |
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10.3390/microorganisms12020370 doi (DE-627)DOAJ098465260 (DE-599)DOAJ8fc7a5503dc04ba592d2f6be96b70061 DE-627 ger DE-627 rakwb eng QH301-705.5 Chenglin Ye verfasserin aut Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. biological aging aging gut microbiota mendelian randomization study instrumental variables Biology (General) Zhiqiang Li verfasserin aut Chun Ye verfasserin aut Li Yuan verfasserin aut Kailang Wu verfasserin aut Chengliang Zhu verfasserin aut In Microorganisms MDPI AG, 2013 12(2024), 2, p 370 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:12 year:2024 number:2, p 370 https://doi.org/10.3390/microorganisms12020370 kostenfrei https://doaj.org/article/8fc7a5503dc04ba592d2f6be96b70061 kostenfrei https://www.mdpi.com/2076-2607/12/2/370 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 2, p 370 |
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10.3390/microorganisms12020370 doi (DE-627)DOAJ098465260 (DE-599)DOAJ8fc7a5503dc04ba592d2f6be96b70061 DE-627 ger DE-627 rakwb eng QH301-705.5 Chenglin Ye verfasserin aut Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. biological aging aging gut microbiota mendelian randomization study instrumental variables Biology (General) Zhiqiang Li verfasserin aut Chun Ye verfasserin aut Li Yuan verfasserin aut Kailang Wu verfasserin aut Chengliang Zhu verfasserin aut In Microorganisms MDPI AG, 2013 12(2024), 2, p 370 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:12 year:2024 number:2, p 370 https://doi.org/10.3390/microorganisms12020370 kostenfrei https://doaj.org/article/8fc7a5503dc04ba592d2f6be96b70061 kostenfrei https://www.mdpi.com/2076-2607/12/2/370 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 2, p 370 |
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10.3390/microorganisms12020370 doi (DE-627)DOAJ098465260 (DE-599)DOAJ8fc7a5503dc04ba592d2f6be96b70061 DE-627 ger DE-627 rakwb eng QH301-705.5 Chenglin Ye verfasserin aut Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. biological aging aging gut microbiota mendelian randomization study instrumental variables Biology (General) Zhiqiang Li verfasserin aut Chun Ye verfasserin aut Li Yuan verfasserin aut Kailang Wu verfasserin aut Chengliang Zhu verfasserin aut In Microorganisms MDPI AG, 2013 12(2024), 2, p 370 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:12 year:2024 number:2, p 370 https://doi.org/10.3390/microorganisms12020370 kostenfrei https://doaj.org/article/8fc7a5503dc04ba592d2f6be96b70061 kostenfrei https://www.mdpi.com/2076-2607/12/2/370 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 2, p 370 |
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10.3390/microorganisms12020370 doi (DE-627)DOAJ098465260 (DE-599)DOAJ8fc7a5503dc04ba592d2f6be96b70061 DE-627 ger DE-627 rakwb eng QH301-705.5 Chenglin Ye verfasserin aut Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. biological aging aging gut microbiota mendelian randomization study instrumental variables Biology (General) Zhiqiang Li verfasserin aut Chun Ye verfasserin aut Li Yuan verfasserin aut Kailang Wu verfasserin aut Chengliang Zhu verfasserin aut In Microorganisms MDPI AG, 2013 12(2024), 2, p 370 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:12 year:2024 number:2, p 370 https://doi.org/10.3390/microorganisms12020370 kostenfrei https://doaj.org/article/8fc7a5503dc04ba592d2f6be96b70061 kostenfrei https://www.mdpi.com/2076-2607/12/2/370 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 2, p 370 |
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10.3390/microorganisms12020370 doi (DE-627)DOAJ098465260 (DE-599)DOAJ8fc7a5503dc04ba592d2f6be96b70061 DE-627 ger DE-627 rakwb eng QH301-705.5 Chenglin Ye verfasserin aut Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. biological aging aging gut microbiota mendelian randomization study instrumental variables Biology (General) Zhiqiang Li verfasserin aut Chun Ye verfasserin aut Li Yuan verfasserin aut Kailang Wu verfasserin aut Chengliang Zhu verfasserin aut In Microorganisms MDPI AG, 2013 12(2024), 2, p 370 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:12 year:2024 number:2, p 370 https://doi.org/10.3390/microorganisms12020370 kostenfrei https://doaj.org/article/8fc7a5503dc04ba592d2f6be96b70061 kostenfrei https://www.mdpi.com/2076-2607/12/2/370 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 2, p 370 |
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Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study |
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Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. |
abstractGer |
Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. |
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Recent observational studies revealed an association between gut microbiota and aging, but whether gut microbiota are causally associated with the aging process remains unknown. We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. Further randomized controlled trials are needed to investigate its role in the aging process. |
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We used a two-sample Mendelian randomization approach to investigate the causal association between gut microbiota and biological age acceleration using the largest available gut microbiota GWAS summary data from the MiBioGen consortium and GWAS data on biological age acceleration. We further conducted sensitivity analysis using MR-PRESSO, MR-Egger regression, Cochran Q test, and reverse MR analysis. <i<Streptococcus</i< (IVW, β = 0.16, <i<p</i< = 0.0001) was causally associated with Bioage acceleration. <i<Eubacterium</i< (<i<rectale group</i<) (IVW, β = 0.20, <i<p</i< = 0.0190), <i<Sellimonas</i< (IVW, β = 0.06, <i<p</i< = 0.019), and <i<Lachnospira</i< (IVW, β = −0.18, <i<p</i< = 0.01) were suggestive of causal associations with Bioage acceleration, with the latter being protective. <i<Actinomyces</i< (IVW, β = 0.26, <i<p</i< = 0.0083), <i<Butyricimonas</i< (IVW, β = 0.21, <i<p</i< = 0.0184), and <i<Lachnospiraceae</i< (<i<FCS020 group</i<) (IVW, β = 0.24, <i<p</i< = 0.0194) were suggestive of causal associations with Phenoage acceleration. This Mendelian randomization study found that <i<Streptococcus</i< was causally associated with Bioage acceleration. 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