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Circulating Biomarkers to Identify Responders in Cardiac Cell therapy

Bone marrow mononuclear cell (BM-MNC) therapy in ST-elevation acute myocardial infarction (STEMI) has no biological inclusion criteria. Here, we analyzed 63 biomarkers and cytokines in baseline plasma samples from 77 STEMI patients treated with BM-MNCs in the TIME and Late-TIME trials as well as 61...

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Autores principales: Jokerst, Jesse V., Cauwenberghs, Nicholas, Kuznetsova, Tatiana, Haddad, Francois, Sweeney, Timothy, Hou, Jiayi, Rosenberg-Hasson, Yael, Zhao, Eric, Schutt, Robert, Bolli, Roberto, Traverse, Jay H., Pepine, Carl J., Henry, Timothy D., Schulman, Ivonne H., Moyé, Lem, Taylor, Doris A., Yang, Phillip C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493650/
https://www.ncbi.nlm.nih.gov/pubmed/28667255
http://dx.doi.org/10.1038/s41598-017-04801-7
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author Jokerst, Jesse V.
Cauwenberghs, Nicholas
Kuznetsova, Tatiana
Haddad, Francois
Sweeney, Timothy
Hou, Jiayi
Rosenberg-Hasson, Yael
Zhao, Eric
Schutt, Robert
Bolli, Roberto
Traverse, Jay H.
Pepine, Carl J.
Henry, Timothy D.
Schulman, Ivonne H.
Moyé, Lem
Taylor, Doris A.
Yang, Phillip C.
author_facet Jokerst, Jesse V.
Cauwenberghs, Nicholas
Kuznetsova, Tatiana
Haddad, Francois
Sweeney, Timothy
Hou, Jiayi
Rosenberg-Hasson, Yael
Zhao, Eric
Schutt, Robert
Bolli, Roberto
Traverse, Jay H.
Pepine, Carl J.
Henry, Timothy D.
Schulman, Ivonne H.
Moyé, Lem
Taylor, Doris A.
Yang, Phillip C.
author_sort Jokerst, Jesse V.
collection PubMed
description Bone marrow mononuclear cell (BM-MNC) therapy in ST-elevation acute myocardial infarction (STEMI) has no biological inclusion criteria. Here, we analyzed 63 biomarkers and cytokines in baseline plasma samples from 77 STEMI patients treated with BM-MNCs in the TIME and Late-TIME trials as well as 61 STEMI patients treated with placebo. Response to cell therapy was defined by changes in left ventricular ejection fraction, systolic/diastolic volumes, and wall motion indexes. We investigated the clinical value of circulating proteins in outcome prediction using significance testing, partial least squares discriminant analysis, and receiver operating characteristic (ROC) analysis. Responders had higher biomarker levels (76–94% elevated) than non-responders. Several biomarkers had values that differed significantly (P < 0.05) between responders and non-responders including stem cell factor, platelet-derived growth factor, and interleukin-15. We then used these lead candidates for ROC analysis and found multiple biomarkers with values areas under the curve >0.70 including interleukin 15. These biomarkers were not involved in the placebo-treated subjects suggesting that they may have predictive power. We conclude that plasma profiling after STEMI may help identify patients with a greater likelihood of response to cell-based treatment. Prospective trials are needed to assess the predictive value of the circulating biomarkers.
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spelling pubmed-54936502017-07-05 Circulating Biomarkers to Identify Responders in Cardiac Cell therapy Jokerst, Jesse V. Cauwenberghs, Nicholas Kuznetsova, Tatiana Haddad, Francois Sweeney, Timothy Hou, Jiayi Rosenberg-Hasson, Yael Zhao, Eric Schutt, Robert Bolli, Roberto Traverse, Jay H. Pepine, Carl J. Henry, Timothy D. Schulman, Ivonne H. Moyé, Lem Taylor, Doris A. Yang, Phillip C. Sci Rep Article Bone marrow mononuclear cell (BM-MNC) therapy in ST-elevation acute myocardial infarction (STEMI) has no biological inclusion criteria. Here, we analyzed 63 biomarkers and cytokines in baseline plasma samples from 77 STEMI patients treated with BM-MNCs in the TIME and Late-TIME trials as well as 61 STEMI patients treated with placebo. Response to cell therapy was defined by changes in left ventricular ejection fraction, systolic/diastolic volumes, and wall motion indexes. We investigated the clinical value of circulating proteins in outcome prediction using significance testing, partial least squares discriminant analysis, and receiver operating characteristic (ROC) analysis. Responders had higher biomarker levels (76–94% elevated) than non-responders. Several biomarkers had values that differed significantly (P < 0.05) between responders and non-responders including stem cell factor, platelet-derived growth factor, and interleukin-15. We then used these lead candidates for ROC analysis and found multiple biomarkers with values areas under the curve >0.70 including interleukin 15. These biomarkers were not involved in the placebo-treated subjects suggesting that they may have predictive power. We conclude that plasma profiling after STEMI may help identify patients with a greater likelihood of response to cell-based treatment. Prospective trials are needed to assess the predictive value of the circulating biomarkers. Nature Publishing Group UK 2017-06-30 /pmc/articles/PMC5493650/ /pubmed/28667255 http://dx.doi.org/10.1038/s41598-017-04801-7 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jokerst, Jesse V.
Cauwenberghs, Nicholas
Kuznetsova, Tatiana
Haddad, Francois
Sweeney, Timothy
Hou, Jiayi
Rosenberg-Hasson, Yael
Zhao, Eric
Schutt, Robert
Bolli, Roberto
Traverse, Jay H.
Pepine, Carl J.
Henry, Timothy D.
Schulman, Ivonne H.
Moyé, Lem
Taylor, Doris A.
Yang, Phillip C.
Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title_full Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title_fullStr Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title_full_unstemmed Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title_short Circulating Biomarkers to Identify Responders in Cardiac Cell therapy
title_sort circulating biomarkers to identify responders in cardiac cell therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493650/
https://www.ncbi.nlm.nih.gov/pubmed/28667255
http://dx.doi.org/10.1038/s41598-017-04801-7
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