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Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events

There is increasing evidence that HFpEF is a heterogeneous clinical entity and distinct molecular pathways may contribute to pathophysiology. Leveraging unbiased proteomics to identify novel biomarkers, this study seeks to understand the underlying molecular mechanisms of HFpEF. The discovery cohort...

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Autores principales: Regan, Jessica A., Truby, Lauren K., Tahir, Usman A., Katz, Daniel H., Nguyen, Maggie, Kwee, Lydia Coulter, Deng, Shuliang, Wilson, James G., Mentz, Robert J., Kraus, William E., Hernandez, Adrian F., Gerszten, Robert E., Peterson, Eric D., Holman, Rury R., Shah, Svati H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684116/
https://www.ncbi.nlm.nih.gov/pubmed/36418363
http://dx.doi.org/10.1038/s41598-022-24226-1
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author Regan, Jessica A.
Truby, Lauren K.
Tahir, Usman A.
Katz, Daniel H.
Nguyen, Maggie
Kwee, Lydia Coulter
Deng, Shuliang
Wilson, James G.
Mentz, Robert J.
Kraus, William E.
Hernandez, Adrian F.
Gerszten, Robert E.
Peterson, Eric D.
Holman, Rury R.
Shah, Svati H.
author_facet Regan, Jessica A.
Truby, Lauren K.
Tahir, Usman A.
Katz, Daniel H.
Nguyen, Maggie
Kwee, Lydia Coulter
Deng, Shuliang
Wilson, James G.
Mentz, Robert J.
Kraus, William E.
Hernandez, Adrian F.
Gerszten, Robert E.
Peterson, Eric D.
Holman, Rury R.
Shah, Svati H.
author_sort Regan, Jessica A.
collection PubMed
description There is increasing evidence that HFpEF is a heterogeneous clinical entity and distinct molecular pathways may contribute to pathophysiology. Leveraging unbiased proteomics to identify novel biomarkers, this study seeks to understand the underlying molecular mechanisms of HFpEF. The discovery cohort consisted of HFpEF cases and non-HF controls from the CATHGEN study (N = 176); the validation cohort consisted of participants from the TECOS trial of patients with diabetes (N = 109). Proteins associated with HFpEF were included in a LASSO model to create a discriminative multi-protein model and assessed in the validation cohort. Survival models and meta-analysis were used to test the association of proteins with incident clinical outcomes, including HF hospitalization, mortality and HFpEF hospitalization in CATHGEN, TECOS and the Jackson Heart Study. In the derivation set, 190 proteins were associated with HFpEF in univariate analysis, of which 65 remained significant in the multivariate model. Twenty (30.8%) of these proteins validated in TECOS, including LCN2, U-PAR, IL-1ra, KIM1, CSTB and Gal-9 (OR 1.93–2.77, p < 0.01). LASSO regression yielded a 13-protein model which, when added to a clinical model inclusive of NT-proBNP, improved the AUC from 0.82 to 0.92 (p = 1.5 × 10(–4)). Five proteins were associated with incident HF hospitalization, four with HFpEF hospitalization and eleven with mortality (p < 0.05). We identified and validated multiple circulating biomarkers associated with HFpEF as well as HF outcomes. These biomarkers added incremental discriminative capabilities beyond clinical factors and NT-proBNP.
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spelling pubmed-96841162022-11-25 Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events Regan, Jessica A. Truby, Lauren K. Tahir, Usman A. Katz, Daniel H. Nguyen, Maggie Kwee, Lydia Coulter Deng, Shuliang Wilson, James G. Mentz, Robert J. Kraus, William E. Hernandez, Adrian F. Gerszten, Robert E. Peterson, Eric D. Holman, Rury R. Shah, Svati H. Sci Rep Article There is increasing evidence that HFpEF is a heterogeneous clinical entity and distinct molecular pathways may contribute to pathophysiology. Leveraging unbiased proteomics to identify novel biomarkers, this study seeks to understand the underlying molecular mechanisms of HFpEF. The discovery cohort consisted of HFpEF cases and non-HF controls from the CATHGEN study (N = 176); the validation cohort consisted of participants from the TECOS trial of patients with diabetes (N = 109). Proteins associated with HFpEF were included in a LASSO model to create a discriminative multi-protein model and assessed in the validation cohort. Survival models and meta-analysis were used to test the association of proteins with incident clinical outcomes, including HF hospitalization, mortality and HFpEF hospitalization in CATHGEN, TECOS and the Jackson Heart Study. In the derivation set, 190 proteins were associated with HFpEF in univariate analysis, of which 65 remained significant in the multivariate model. Twenty (30.8%) of these proteins validated in TECOS, including LCN2, U-PAR, IL-1ra, KIM1, CSTB and Gal-9 (OR 1.93–2.77, p < 0.01). LASSO regression yielded a 13-protein model which, when added to a clinical model inclusive of NT-proBNP, improved the AUC from 0.82 to 0.92 (p = 1.5 × 10(–4)). Five proteins were associated with incident HF hospitalization, four with HFpEF hospitalization and eleven with mortality (p < 0.05). We identified and validated multiple circulating biomarkers associated with HFpEF as well as HF outcomes. These biomarkers added incremental discriminative capabilities beyond clinical factors and NT-proBNP. Nature Publishing Group UK 2022-11-22 /pmc/articles/PMC9684116/ /pubmed/36418363 http://dx.doi.org/10.1038/s41598-022-24226-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Regan, Jessica A.
Truby, Lauren K.
Tahir, Usman A.
Katz, Daniel H.
Nguyen, Maggie
Kwee, Lydia Coulter
Deng, Shuliang
Wilson, James G.
Mentz, Robert J.
Kraus, William E.
Hernandez, Adrian F.
Gerszten, Robert E.
Peterson, Eric D.
Holman, Rury R.
Shah, Svati H.
Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title_full Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title_fullStr Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title_full_unstemmed Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title_short Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events
title_sort protein biomarkers of cardiac remodeling and inflammation associated with hfpef and incident events
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684116/
https://www.ncbi.nlm.nih.gov/pubmed/36418363
http://dx.doi.org/10.1038/s41598-022-24226-1
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