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Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation
INTRODUCTION: To generate biomarkers of target engagement or predictive response for multi-target drugs is challenging. One such compound is the multi-AGC kinase inhibitor AT13148. Metabolic signatures of selective signal transduction inhibitors identified in preclinical models have previously been...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154022/ https://www.ncbi.nlm.nih.gov/pubmed/32285223 http://dx.doi.org/10.1007/s11306-020-01676-0 |
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author | Pal, Akos Asad, Yasmin Ruddle, Ruth Henley, Alan T. Swales, Karen Decordova, Shaun Eccles, Suzanne A . Collins, Ian Garrett, Michelle D. De Bono, Johann Banerji, Udai Raynaud, Florence I. |
author_facet | Pal, Akos Asad, Yasmin Ruddle, Ruth Henley, Alan T. Swales, Karen Decordova, Shaun Eccles, Suzanne A . Collins, Ian Garrett, Michelle D. De Bono, Johann Banerji, Udai Raynaud, Florence I. |
author_sort | Pal, Akos |
collection | PubMed |
description | INTRODUCTION: To generate biomarkers of target engagement or predictive response for multi-target drugs is challenging. One such compound is the multi-AGC kinase inhibitor AT13148. Metabolic signatures of selective signal transduction inhibitors identified in preclinical models have previously been confirmed in early clinical studies. This study explores whether metabolic signatures could be used as biomarkers for the multi-AGC kinase inhibitor AT13148. OBJECTIVES: To identify metabolomic changes of biomarkers of multi-AGC kinase inhibitor AT13148 in cells, xenograft / mouse models and in patients in a Phase I clinical study. METHODS: HILIC LC–MS/MS methods and Biocrates AbsoluteIDQ™ p180 kit were used for targeted metabolomics; followed by multivariate data analysis in SIMCA and statistical analysis in Graphpad. Metaboanalyst and String were used for network analysis. RESULTS: BT474 and PC3 cells treated with AT13148 affected metabolites which are in a gene protein metabolite network associated with Nitric oxide synthases (NOS). In mice bearing the human tumour xenografts BT474 and PC3, AT13148 treatment did not produce a common robust tumour specific metabolite change. However, AT13148 treatment of non-tumour bearing mice revealed 45 metabolites that were different from non-treated mice. These changes were also observed in patients at doses where biomarker modulation was observed. Further network analysis of these metabolites indicated enrichment for genes associated with the NOS pathway. The impact of AT13148 on the metabolite changes and the involvement of NOS-AT13148- Asymmetric dimethylarginine (ADMA) interaction were consistent with hypotension observed in patients in higher dose cohorts (160-300 mg). CONCLUSION: AT13148 affects metabolites associated with NOS in cells, mice and patients which is consistent with the clinical dose-limiting hypotension. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01676-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7154022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-71540222020-04-18 Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation Pal, Akos Asad, Yasmin Ruddle, Ruth Henley, Alan T. Swales, Karen Decordova, Shaun Eccles, Suzanne A . Collins, Ian Garrett, Michelle D. De Bono, Johann Banerji, Udai Raynaud, Florence I. Metabolomics Original Article INTRODUCTION: To generate biomarkers of target engagement or predictive response for multi-target drugs is challenging. One such compound is the multi-AGC kinase inhibitor AT13148. Metabolic signatures of selective signal transduction inhibitors identified in preclinical models have previously been confirmed in early clinical studies. This study explores whether metabolic signatures could be used as biomarkers for the multi-AGC kinase inhibitor AT13148. OBJECTIVES: To identify metabolomic changes of biomarkers of multi-AGC kinase inhibitor AT13148 in cells, xenograft / mouse models and in patients in a Phase I clinical study. METHODS: HILIC LC–MS/MS methods and Biocrates AbsoluteIDQ™ p180 kit were used for targeted metabolomics; followed by multivariate data analysis in SIMCA and statistical analysis in Graphpad. Metaboanalyst and String were used for network analysis. RESULTS: BT474 and PC3 cells treated with AT13148 affected metabolites which are in a gene protein metabolite network associated with Nitric oxide synthases (NOS). In mice bearing the human tumour xenografts BT474 and PC3, AT13148 treatment did not produce a common robust tumour specific metabolite change. However, AT13148 treatment of non-tumour bearing mice revealed 45 metabolites that were different from non-treated mice. These changes were also observed in patients at doses where biomarker modulation was observed. Further network analysis of these metabolites indicated enrichment for genes associated with the NOS pathway. The impact of AT13148 on the metabolite changes and the involvement of NOS-AT13148- Asymmetric dimethylarginine (ADMA) interaction were consistent with hypotension observed in patients in higher dose cohorts (160-300 mg). CONCLUSION: AT13148 affects metabolites associated with NOS in cells, mice and patients which is consistent with the clinical dose-limiting hypotension. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01676-0) contains supplementary material, which is available to authorized users. Springer US 2020-04-13 2020 /pmc/articles/PMC7154022/ /pubmed/32285223 http://dx.doi.org/10.1007/s11306-020-01676-0 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Article Pal, Akos Asad, Yasmin Ruddle, Ruth Henley, Alan T. Swales, Karen Decordova, Shaun Eccles, Suzanne A . Collins, Ian Garrett, Michelle D. De Bono, Johann Banerji, Udai Raynaud, Florence I. Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title | Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title_full | Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title_fullStr | Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title_full_unstemmed | Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title_short | Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation |
title_sort | metabolomic changes of the multi (-agc-) kinase inhibitor at13148 in cells, mice and patients are associated with nos regulation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154022/ https://www.ncbi.nlm.nih.gov/pubmed/32285223 http://dx.doi.org/10.1007/s11306-020-01676-0 |
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