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Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts
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| Zeitschriftentitel: | Journal of the American Heart Association |
|---|---|
| Personen und Körperschaften: | , , , , , , , , |
| In: | Journal of the American Heart Association, 8, 2019, 11 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Ovid Technologies (Wolters Kluwer Health)
|
| Schlagwörter: |
| author_facet |
Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl |
|---|---|
| author |
Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl |
| spellingShingle |
Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl Journal of the American Heart Association Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts Cardiology and Cardiovascular Medicine |
| author_sort |
warensjö lemming, eva |
| spelling |
Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl 2047-9980 Ovid Technologies (Wolters Kluwer Health) Cardiology and Cardiovascular Medicine http://dx.doi.org/10.1161/jaha.118.011860 <jats:sec xml:lang="en"> <jats:title>Background</jats:title> <jats:p xml:lang="en">Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking.</jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Methods and Results</jats:title> <jats:p xml:lang="en"> Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The <jats:italic>healthy</jats:italic> and the <jats:italic>Western/traditional</jats:italic> patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 ( <jats:italic>P</jats:italic> ‐value range, 5.0×10 <jats:sup>−2</jats:sup> –1.4×10 <jats:sup>−9</jats:sup> ) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the <jats:italic>healthy</jats:italic> and the <jats:italic>light meal</jats:italic> pattern but in opposite directions. </jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Conclusions</jats:title> <jats:p xml:lang="en">We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism.</jats:p> </jats:sec> Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts Journal of the American Heart Association |
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2019 |
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Journal of the American Heart Association |
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| title |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_unstemmed |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_full |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_fullStr |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_full_unstemmed |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_short |
Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_sort |
dietary pattern specific protein biomarkers for cardiovascular disease: a cross‐sectional study in 2 independent cohorts |
| topic |
Cardiology and Cardiovascular Medicine |
| url |
http://dx.doi.org/10.1161/jaha.118.011860 |
| publishDate |
2019 |
| physical |
|
| description |
<jats:sec xml:lang="en">
<jats:title>Background</jats:title>
<jats:p xml:lang="en">Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking.</jats:p>
</jats:sec>
<jats:sec xml:lang="en">
<jats:title>Methods and Results</jats:title>
<jats:p xml:lang="en">
Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The
<jats:italic>healthy</jats:italic>
and the
<jats:italic>Western/traditional</jats:italic>
patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (
<jats:italic>P</jats:italic>
‐value range, 5.0×10
<jats:sup>−2</jats:sup>
–1.4×10
<jats:sup>−9</jats:sup>
) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the
<jats:italic>healthy</jats:italic>
and the
<jats:italic>light meal</jats:italic>
pattern but in opposite directions.
</jats:p>
</jats:sec>
<jats:sec xml:lang="en">
<jats:title>Conclusions</jats:title>
<jats:p xml:lang="en">We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism.</jats:p>
</jats:sec> |
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| author | Warensjö Lemming, Eva, Byberg, Liisa, Stattin, Karl, Ahmad, Shafqat, Lind, Lars, Elmståhl, Sölve, Larsson, Susanna C., Wolk, Alicja, Michaëlsson, Karl |
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| description | <jats:sec xml:lang="en"> <jats:title>Background</jats:title> <jats:p xml:lang="en">Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking.</jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Methods and Results</jats:title> <jats:p xml:lang="en"> Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The <jats:italic>healthy</jats:italic> and the <jats:italic>Western/traditional</jats:italic> patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 ( <jats:italic>P</jats:italic> ‐value range, 5.0×10 <jats:sup>−2</jats:sup> –1.4×10 <jats:sup>−9</jats:sup> ) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the <jats:italic>healthy</jats:italic> and the <jats:italic>light meal</jats:italic> pattern but in opposite directions. </jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Conclusions</jats:title> <jats:p xml:lang="en">We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism.</jats:p> </jats:sec> |
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| spelling | Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl 2047-9980 Ovid Technologies (Wolters Kluwer Health) Cardiology and Cardiovascular Medicine http://dx.doi.org/10.1161/jaha.118.011860 <jats:sec xml:lang="en"> <jats:title>Background</jats:title> <jats:p xml:lang="en">Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking.</jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Methods and Results</jats:title> <jats:p xml:lang="en"> Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The <jats:italic>healthy</jats:italic> and the <jats:italic>Western/traditional</jats:italic> patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 ( <jats:italic>P</jats:italic> ‐value range, 5.0×10 <jats:sup>−2</jats:sup> –1.4×10 <jats:sup>−9</jats:sup> ) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the <jats:italic>healthy</jats:italic> and the <jats:italic>light meal</jats:italic> pattern but in opposite directions. </jats:p> </jats:sec> <jats:sec xml:lang="en"> <jats:title>Conclusions</jats:title> <jats:p xml:lang="en">We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism.</jats:p> </jats:sec> Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts Journal of the American Heart Association |
| spellingShingle | Warensjö Lemming, Eva, Byberg, Liisa, Stattin, Karl, Ahmad, Shafqat, Lind, Lars, Elmståhl, Sölve, Larsson, Susanna C., Wolk, Alicja, Michaëlsson, Karl, Journal of the American Heart Association, Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts, Cardiology and Cardiovascular Medicine |
| title | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_full | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_fullStr | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_full_unstemmed | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_short | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| title_sort | dietary pattern specific protein biomarkers for cardiovascular disease: a cross‐sectional study in 2 independent cohorts |
| title_unstemmed | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
| topic | Cardiology and Cardiovascular Medicine |
| url | http://dx.doi.org/10.1161/jaha.118.011860 |