The Carnitine-butyrobetaine-trimethylamine-N-oxide pathway and its association with cardiovascular mortality in patients with carotid atherosclerosis
Open accessAbstract
Background and purpose γ-butyrobetaine (γBB) is a metabolite from dietary Carnitine, involved in the gut microbiota-dependent conversion from Carnitine to the pro-atherogenic metabolite trimethylamine-N-oxide (TMAO). Orally ingested γBB has a pro-atherogenic effect in experimental studies, but γBB has not been studied in relation to atherosclerosis in humans. The aim of this study was to evaluate associations between serum levels of γBB, TMAO and their common precursors Carnitine and trimethyllysine (TML) and carotid atherosclerosis and adverse outcome.Methods Serum γBB, Carnitine, TML and TMAO were quantified by high performance liquid chromatography in patients with carotid artery atherosclerosis (n = 264) and healthy controls (n = 62).Results Serum γBB (p = 0.024) and Carnitine (p = 0.001), but not TMAO or TML, were increased in patients with carotid atherosclerosis. Higher levels of γBB and TML, but not TMAO or Carnitine were independently associated with cardiovascular death also after adjustment for age and eGFR (adjusted HR [95%] 3.3 [1.9-9.1], p = 0.047 and 6.0 [1.8-20.34], p = 0.026, respectively).Conclusions Patients with carotid atherosclerosis had increased serum levels of γBB, and elevated levels of γBB and its precursor TML were associated with cardiovascular mortality. Long-term clinical studies of γBB, as a cardiovascular risk marker, and safety studies regarding dietary supplementation of γBB, are warranted.
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Another 3 studies did not show a significantly elevated RR when TMAO was analyzed as a continuous variable in model.
“Also, another 3 studies did not show a significantly elevated RR when TMAO was analyzed as a continuous variable in model.10, 14, 17”
From Gut Microbiota Metabolites and Risk of Major Adverse Cardiovascular Disease Events and Death: A Systematic Review and Meta‐Analysis of Prospective Studies (2017) · cites this paper as [17]
Median TMAO concentrations in healthy individuals were reported as ranges of 3 to 6 μmol/L.
“Nonetheless, median values of TMAO concentrations in healthy individuals were reported as ranges of 3 to 6 μmol/L,8, 17, 18, 19 and the study by Shafi et al22 consisted of hemodialysis patients with the substantially high mean vale of TMAO (101.9 μmol/L among total participants).”
From Gut Microbiota Metabolites and Risk of Major Adverse Cardiovascular Disease Events and Death: A Systematic Review and Meta‐Analysis of Prospective Studies (2017) · cites this paper as [17]
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Inflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773 · see citing works
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662 · see citing works
Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk
Tang, W. H. W., Wang, Z., Levison, B. S., Koeth, R. A., Britt, E. B., Fu, X., Wu, Y., & Hazen, S. L. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109400 · Cited by 3,402 · see citing works
Carnitine metabolism to trimethylamine by an unusual Rieske-type oxygenase from human microbiota
Zhu, Y., Jameson, E., Crosatti, M., Schäfer, H., Rajakumar, K., Bugg, T. D. H., & Chen, Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316569111 · Cited by 372 · see citing works
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Research works printed but not linked: 1
- E.G. Grant, C.B. Benson, G.L. Moneta, A.V. Alexandrov, J.D. Baker, E.I. Bluth, et al., Carotid artery stenosis: gray-scale and Doppler US diagnosisesociety of radiologists in ultrasound consensus conference, Radiology 229 (2003) 340e346.
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Heianza, Y., Ma, W., Manson, J. E., Rexrode, K. M., & Qi, L. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004947 · Cited by 544 · see citing works
Inflammation and cardiovascular disease: From mechanisms to therapeutics
Alfaddagh, A., Martin, S. S., Leucker, T. M., Michos, E. D., Blaha, M. J., Lowenstein, C. J., Jones, S. R., & Toth, P. P. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100130 · Cited by 473 · see citing works
Microbial modulation of cardiovascular disease
Brown, J. M., & Hazen, S. L. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.149 · Cited by 440 · see citing works
The progress of gut microbiome research related to brain disorders
Zhu, S., Jiang, Y., Xu, K., Cui, M., Ye, W., Zhao, G., Jin, L., & Chen, X. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-1705-z · Cited by 419 · see citing works
Ke, Y., Li, D., Zhao, M., Liu, C., Liu, J., Zeng, A., Shi, X., Cheng, S., Pan, B., Zheng, L., et al. (2018) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.01.007 · Cited by 285 · see citing works
Gut Microbiota and Ischemic Stroke: The Role of Trimethylamine N-Oxide
Nam, H. S. (2019) · Journal of Stroke · doi:10.5853/jos.2019.00472 · Cited by 176 · see citing works
The Gut Microbiome as Therapeutic Target in Central Nervous System Diseases: Implications for Stroke
Winek, K., Dirnagl, U., & Meisel, A. (2016) · Neurotherapeutics · doi:10.1007/s13311-016-0475-x · Cited by 108 · see citing works
- Authors
- Skagen, K., Trøseid, M., Ueland, T., Holm, S., Abbas, A., Gregersen, I., Kummen, M., Bjerkeli, V., Reier-Nilsen, F., Russell, D., Svardal, A., Karlsen, T. H., Aukrust, P., Berge, R. K., Hov, J. E. R., Halvorsen, B., & Skjelland, M.
- Affiliations
- Oslo University Hospital (NO)
- University of Oslo (NO)
- Akershus University Hospital (NO)
- University of Bergen (NO)
- Haukeland University Hospital (NO)
- Corresponding author
- Skagen, Karolina
- ORCID
- Venue
- Atherosclerosis
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 247
- Pages
- 64-69
- ISSN
- 0021-9150 (ISSN-L)
- OpenAlex
- W2257321757
- Cited by
- 139
- References
- 4
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 8 · 2023: 12 · 2022: 26 · 2021: 19 · 2020: 18 · 2019: 13 · 2018: 14 · 2017: 8 · 2016: 9
- FWCI
- 7.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Atherosclerosis (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Servier
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Polyamine Metabolism and Applications
- Keywords
- gamma-butyrobetaine, trimethylamine N-oxide, L-carnitine, trimethyllysine, carotid atherosclerosis, cardiovascular mortality, gut microbiota, cardiovascular risk markers, supplement safety
- MeSH terms
- Aged, Betaine, Carnitine, Cause of Death, Chromatography, High Pressure Liquid, Female, Humans, Lysine, Male, Methylamines, Middle Aged, Myocardial Infarction, Prognosis, Risk Factors, Severity of Illness Index, Biomarkers, Proportional Hazards Models, Case-Control Studies, Carotid Stenosis, Risk Assessment, Ultrasonography, Doppler, Color, Stroke, Kaplan-Meier Estimate
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