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Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease

INTRODUCTION: Trimethylamine-N-oxide (TMAO) is a circulating biomarker associated with cardiovascular disease (CVD). Production of TMAO is facilitated by gut microbiota and dependent on micronutrients such as choline, betaine, and L-carnitine, present in foods such as red meat and eggs. HYPOTHESIS:...

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Autores principales: Bean, Lamuel D., Wing, Jeffrey J., Harris, Randall E., Smart, Suzanne M., Raman, Subha V., Milks, M. Wesley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087975/
https://www.ncbi.nlm.nih.gov/pubmed/35538408
http://dx.doi.org/10.1186/s12872-022-02644-3
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author Bean, Lamuel D.
Wing, Jeffrey J.
Harris, Randall E.
Smart, Suzanne M.
Raman, Subha V.
Milks, M. Wesley
author_facet Bean, Lamuel D.
Wing, Jeffrey J.
Harris, Randall E.
Smart, Suzanne M.
Raman, Subha V.
Milks, M. Wesley
author_sort Bean, Lamuel D.
collection PubMed
description INTRODUCTION: Trimethylamine-N-oxide (TMAO) is a circulating biomarker associated with cardiovascular disease (CVD). Production of TMAO is facilitated by gut microbiota and dependent on micronutrients such as choline, betaine, and L-carnitine, present in foods such as red meat and eggs. HYPOTHESIS: We sought to predict serum TMAO quartile levels among healthy individuals at increased risk of CVD using clinical data via an ordinal logistic model. METHODS: Data from participants (n = 127) enrolled in a longitudinal observational study on CVD were used to build a predictive model for TMAO using ordinal logistic regression with demographic variables and 40 other variables considered related to CVD risk. First, univariate models for each covariate were tested (with serum TMAO quartiles as the dependent variable), and only variables with P < 0.30 were evaluated further. Second, demographic variables (age, gender, white vs. non-white race) were included in a multivariable model with each previously identified independent variable controlling for potential confounding. Last, the final model included fixed demographics and candidates from the confounder-adjusted model with P < 0.10. RESULTS: Eight candidate variables were included in the final model, with only transferrin, high-density lipoprotein cholesterol (HDL-C) and race (white vs. non-white) showing significant associations with TMAO. Participants had 0.16 (Q2), 0.31 (Q3), and 0.20 (Q4) odds of being in a higher TMAO quartile compared with participants in the lowest transferrin quartile. Non-white participants had 2.92 times higher odds of being in the highest TMAO quartile compared to white individuals. Participants in the second quartile of HDL-C had 2.68 times higher odds of being in a higher TMAO quartile compared with participants in the lowest HDL-C quartile. CONCLUSIONS: Transferrin demonstrated a significant predictive association with TMAO and may represent a novel potential biomarker of increased CVD risk worthy of further study. These results warrant further examination of iron, metabolism, homeostasis, and gut microbiome to better understand and mitigate known increased CVD risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02644-3.
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spelling pubmed-90879752022-05-11 Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease Bean, Lamuel D. Wing, Jeffrey J. Harris, Randall E. Smart, Suzanne M. Raman, Subha V. Milks, M. Wesley BMC Cardiovasc Disord Research INTRODUCTION: Trimethylamine-N-oxide (TMAO) is a circulating biomarker associated with cardiovascular disease (CVD). Production of TMAO is facilitated by gut microbiota and dependent on micronutrients such as choline, betaine, and L-carnitine, present in foods such as red meat and eggs. HYPOTHESIS: We sought to predict serum TMAO quartile levels among healthy individuals at increased risk of CVD using clinical data via an ordinal logistic model. METHODS: Data from participants (n = 127) enrolled in a longitudinal observational study on CVD were used to build a predictive model for TMAO using ordinal logistic regression with demographic variables and 40 other variables considered related to CVD risk. First, univariate models for each covariate were tested (with serum TMAO quartiles as the dependent variable), and only variables with P < 0.30 were evaluated further. Second, demographic variables (age, gender, white vs. non-white race) were included in a multivariable model with each previously identified independent variable controlling for potential confounding. Last, the final model included fixed demographics and candidates from the confounder-adjusted model with P < 0.10. RESULTS: Eight candidate variables were included in the final model, with only transferrin, high-density lipoprotein cholesterol (HDL-C) and race (white vs. non-white) showing significant associations with TMAO. Participants had 0.16 (Q2), 0.31 (Q3), and 0.20 (Q4) odds of being in a higher TMAO quartile compared with participants in the lowest transferrin quartile. Non-white participants had 2.92 times higher odds of being in the highest TMAO quartile compared to white individuals. Participants in the second quartile of HDL-C had 2.68 times higher odds of being in a higher TMAO quartile compared with participants in the lowest HDL-C quartile. CONCLUSIONS: Transferrin demonstrated a significant predictive association with TMAO and may represent a novel potential biomarker of increased CVD risk worthy of further study. These results warrant further examination of iron, metabolism, homeostasis, and gut microbiome to better understand and mitigate known increased CVD risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02644-3. BioMed Central 2022-05-10 /pmc/articles/PMC9087975/ /pubmed/35538408 http://dx.doi.org/10.1186/s12872-022-02644-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bean, Lamuel D.
Wing, Jeffrey J.
Harris, Randall E.
Smart, Suzanne M.
Raman, Subha V.
Milks, M. Wesley
Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title_full Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title_fullStr Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title_full_unstemmed Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title_short Transferrin predicts trimethylamine-N-oxide levels and is a potential biomarker of cardiovascular disease
title_sort transferrin predicts trimethylamine-n-oxide levels and is a potential biomarker of cardiovascular disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087975/
https://www.ncbi.nlm.nih.gov/pubmed/35538408
http://dx.doi.org/10.1186/s12872-022-02644-3
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