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High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies

Obesity and related metabolic diseases show clear sex-related differences. The growing burden of these diseases calls for better understanding of the age- and sex-related metabolic consequences. High-throughput lipidomic analyses of population-based cohorts offer an opportunity to identify disease-r...

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Autores principales: Beyene, Habtamu B., Olshansky, Gavriel, T. Smith, Adam Alexander, Giles, Corey, Huynh, Kevin, Cinel, Michelle, Mellett, Natalie A., Cadby, Gemma, Hung, Joseph, Hui, Jennie, Beilby, John, Watts, Gerald F., Shaw, Jonathan S., Moses, Eric K., Magliano, Dianna J., Meikle, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544135/
https://www.ncbi.nlm.nih.gov/pubmed/32986697
http://dx.doi.org/10.1371/journal.pbio.3000870
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author Beyene, Habtamu B.
Olshansky, Gavriel
T. Smith, Adam Alexander
Giles, Corey
Huynh, Kevin
Cinel, Michelle
Mellett, Natalie A.
Cadby, Gemma
Hung, Joseph
Hui, Jennie
Beilby, John
Watts, Gerald F.
Shaw, Jonathan S.
Moses, Eric K.
Magliano, Dianna J.
Meikle, Peter J.
author_facet Beyene, Habtamu B.
Olshansky, Gavriel
T. Smith, Adam Alexander
Giles, Corey
Huynh, Kevin
Cinel, Michelle
Mellett, Natalie A.
Cadby, Gemma
Hung, Joseph
Hui, Jennie
Beilby, John
Watts, Gerald F.
Shaw, Jonathan S.
Moses, Eric K.
Magliano, Dianna J.
Meikle, Peter J.
author_sort Beyene, Habtamu B.
collection PubMed
description Obesity and related metabolic diseases show clear sex-related differences. The growing burden of these diseases calls for better understanding of the age- and sex-related metabolic consequences. High-throughput lipidomic analyses of population-based cohorts offer an opportunity to identify disease-risk–associated biomarkers and to improve our understanding of lipid metabolism and biology at a population level. Here, we comprehensively examined the relationship between lipid classes/subclasses and molecular species with age, sex, and body mass index (BMI). Furthermore, we evaluated sex specificity in the association of the plasma lipidome with age and BMI. Some 747 targeted lipid measures, representing 706 molecular lipid species across 36 classes/subclasses, were measured using a high-performance liquid chromatography coupled mass spectrometer on a total of 10,339 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), with 563 lipid species being validated externally on 4,207 participants of the Busselton Health Study (BHS). Heat maps were constructed to visualise the relative differences in lipidomic profile between men and women. Multivariable linear regression analyses, including sex-interaction terms, were performed to assess the associations of lipid species with cardiometabolic phenotypes. Associations with age and sex were found for 472 (66.9%) and 583 (82.6%) lipid species, respectively. We further demonstrated that age-associated lipidomic fingerprints differed by sex. Specific classes of ether-phospholipids and lysophospholipids (calculated as the sum composition of the species within the class) were inversely associated with age in men only. In analyses with women alone, higher triacylglycerol and lower lysoalkylphosphatidylcholine species were observed among postmenopausal women compared with premenopausal women. We also identified sex-specific associations of lipid species with obesity. Lysophospholipids were negatively associated with BMI in both sexes (with a larger effect size in men), whilst acylcarnitine species showed opposing associations based on sex (positive association in women and negative association in men). Finally, by utilising specific lipid ratios as a proxy for enzymatic activity, we identified stearoyl CoA desaturase (SCD-1), fatty acid desaturase 3 (FADS3), and plasmanylethanolamine Δ1-desaturase activities, as well as the sphingolipid metabolic pathway, as constituent perturbations of cardiometabolic phenotypes. Our analyses elucidate the effect of age and sex on lipid metabolism by offering a comprehensive view of the lipidomic profiles associated with common cardiometabolic risk factors. These findings have implications for age- and sex-dependent lipid metabolism in health and disease and suggest the need for sex stratification during lipid biomarker discovery, establishing biological reference intervals for assessment of disease risk.
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spelling pubmed-75441352020-10-19 High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies Beyene, Habtamu B. Olshansky, Gavriel T. Smith, Adam Alexander Giles, Corey Huynh, Kevin Cinel, Michelle Mellett, Natalie A. Cadby, Gemma Hung, Joseph Hui, Jennie Beilby, John Watts, Gerald F. Shaw, Jonathan S. Moses, Eric K. Magliano, Dianna J. Meikle, Peter J. PLoS Biol Research Article Obesity and related metabolic diseases show clear sex-related differences. The growing burden of these diseases calls for better understanding of the age- and sex-related metabolic consequences. High-throughput lipidomic analyses of population-based cohorts offer an opportunity to identify disease-risk–associated biomarkers and to improve our understanding of lipid metabolism and biology at a population level. Here, we comprehensively examined the relationship between lipid classes/subclasses and molecular species with age, sex, and body mass index (BMI). Furthermore, we evaluated sex specificity in the association of the plasma lipidome with age and BMI. Some 747 targeted lipid measures, representing 706 molecular lipid species across 36 classes/subclasses, were measured using a high-performance liquid chromatography coupled mass spectrometer on a total of 10,339 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), with 563 lipid species being validated externally on 4,207 participants of the Busselton Health Study (BHS). Heat maps were constructed to visualise the relative differences in lipidomic profile between men and women. Multivariable linear regression analyses, including sex-interaction terms, were performed to assess the associations of lipid species with cardiometabolic phenotypes. Associations with age and sex were found for 472 (66.9%) and 583 (82.6%) lipid species, respectively. We further demonstrated that age-associated lipidomic fingerprints differed by sex. Specific classes of ether-phospholipids and lysophospholipids (calculated as the sum composition of the species within the class) were inversely associated with age in men only. In analyses with women alone, higher triacylglycerol and lower lysoalkylphosphatidylcholine species were observed among postmenopausal women compared with premenopausal women. We also identified sex-specific associations of lipid species with obesity. Lysophospholipids were negatively associated with BMI in both sexes (with a larger effect size in men), whilst acylcarnitine species showed opposing associations based on sex (positive association in women and negative association in men). Finally, by utilising specific lipid ratios as a proxy for enzymatic activity, we identified stearoyl CoA desaturase (SCD-1), fatty acid desaturase 3 (FADS3), and plasmanylethanolamine Δ1-desaturase activities, as well as the sphingolipid metabolic pathway, as constituent perturbations of cardiometabolic phenotypes. Our analyses elucidate the effect of age and sex on lipid metabolism by offering a comprehensive view of the lipidomic profiles associated with common cardiometabolic risk factors. These findings have implications for age- and sex-dependent lipid metabolism in health and disease and suggest the need for sex stratification during lipid biomarker discovery, establishing biological reference intervals for assessment of disease risk. Public Library of Science 2020-09-28 /pmc/articles/PMC7544135/ /pubmed/32986697 http://dx.doi.org/10.1371/journal.pbio.3000870 Text en © 2020 Beyene et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Beyene, Habtamu B.
Olshansky, Gavriel
T. Smith, Adam Alexander
Giles, Corey
Huynh, Kevin
Cinel, Michelle
Mellett, Natalie A.
Cadby, Gemma
Hung, Joseph
Hui, Jennie
Beilby, John
Watts, Gerald F.
Shaw, Jonathan S.
Moses, Eric K.
Magliano, Dianna J.
Meikle, Peter J.
High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title_full High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title_fullStr High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title_full_unstemmed High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title_short High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
title_sort high-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and bmi: evidence from two large population cohort studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544135/
https://www.ncbi.nlm.nih.gov/pubmed/32986697
http://dx.doi.org/10.1371/journal.pbio.3000870
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