Abstract
Trimethylamine-N-Oxide (TMAO) is a microbiome-related metabolite that is cleared by the kidney and linked to renal function. We explored the relationship between TMAO and all-cause mortality, and determined whether this association was modified by renal function. A prospective study was performed among PREVEND participants to examine associations of plasma TMAO with all-cause mortality. After median follow-up of 8.3 years in 5,469 participants, 322 subjects died. TMAO was positively associated with age, body mass index, type 2 diabetes mellitus and inversely with estimated glomerular filtration rate (eGFRcreatcysC)(all P <0.001). Subjects in the highest versus lowest TMAO quartile had a crude 1.86-fold higher mortality risk (P-trend <0.001). After adjustment for several risk factors, TMAO remained associated with all-cause mortality [HR: 1.36 (95% CI, 0.97-1.91), P-trend = 0.016]. This association was lost after further adjustment for urinary albumin excretion and eGFR [HR: 1.15 (95% CI, 0.81-1.64), P-trend = 0.22]. The association of TMAO with mortality was modified by eGFR in crude and age-and sex-adjusted analyses (interaction P = 0.002). When participants were stratified by renal function (eGFR <vs. = >= 90 mL/min/1.73 m(2)), TMAO was associated with all-cause mortality only in subjects with eGFR <90 mL/min/1.73 m(2) [adjusted HR: 1.18 (95% CI, 1.02-1.36), P = 0.023]. In conclusion, TMAO is associated with all-cause mortality, particularly in subjects with eGFR <90 mL/min/1.73 m(2).
Original language | English |
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Article number | 13781 |
Number of pages | 9 |
Journal | Scientific Reports |
Volume | 7 |
DOIs | |
Publication status | Published - 23-Oct-2017 |
Keywords
- TRIMETHYLAMINE-N-OXIDE
- TANDEM MASS-SPECTROMETRY
- STABLE-ISOTOPE DILUTION
- CORONARY-HEART-DISEASE
- CHRONIC KIDNEY-DISEASE
- FATTY LIVER-DISEASE
- C-REACTIVE PROTEIN
- CARDIOVASCULAR-DISEASE
- GENERAL-POPULATION
- PROGNOSTIC VALUE
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Prevention of Renal and Vascular End-stage Disease (PREVEND)
Gansevoort, R. T. (Creator), University of Groningen, 2017
Dataset