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The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice
Tacrolimus (Tac) is a common immunosuppressant that used in organ transplantation. However, its therapeutic index is narrow, and it is prone to adverse side effects, along with an increased risk of toxicity, namely, cardio-, nephro-, hepato-, and neurotoxicity. Prior metabolomic investigations invol...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703746/ https://www.ncbi.nlm.nih.gov/pubmed/36443830 http://dx.doi.org/10.1186/s40360-022-00626-x |
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author | Xie, Dadi Guo, Jinxiu Dang, Ruili Li, Yanan Si, Qingying Han, Wenxiu Wang, Shan Wei, Ning Meng, Junjun Wu, Linlin |
author_facet | Xie, Dadi Guo, Jinxiu Dang, Ruili Li, Yanan Si, Qingying Han, Wenxiu Wang, Shan Wei, Ning Meng, Junjun Wu, Linlin |
author_sort | Xie, Dadi |
collection | PubMed |
description | Tacrolimus (Tac) is a common immunosuppressant that used in organ transplantation. However, its therapeutic index is narrow, and it is prone to adverse side effects, along with an increased risk of toxicity, namely, cardio-, nephro-, hepato-, and neurotoxicity. Prior metabolomic investigations involving Tac-driven toxicity primarily focused on changes in individual organs. However, extensive research on multiple matrices is uncommon. Hence, in this research, the authors systemically evaluated Tac-mediated toxicity in major organs, namely, serum, brain, heart, liver, lung, kidney, and intestines, using gas chromatography−mass spectrometry (GC-MS). The authors also employed multivariate analyses, including orthogonal projections to the latent structure (OPLS) and t-test, to screen 8 serum metabolites, namely, D-proline, glycerol, D-fructose, D-glucitol, sulfurous acid, 1-monopalmitin (MG (16:0/0:0/0:0)), glycerol monostearate (MG (0:0/18:0/0:0)), and cholesterol. Metabolic changes within the brain involved alterations in the levels of butanamide, tartronic acid, aminomalonic acid, scyllo-inositol, dihydromorphine, myo-inositol, and 11-octadecenoic acid. Within the heart, the acetone and D-fructose metabolites were altered. In the liver, D-glucitol, L-sorbose, palmitic acid, myo-inositol, and uridine were altered. In the lung, L-lactic acid, L-5-oxoproline, L-threonine, phosphoric acid, phosphorylethanolamine, D-allose, and cholesterol were altered. Lastly, in the kidney, L-valine and D-glucose were altered. Our findings will provide a systematic evaluation of the metabolic alterations in target organs within a Tac-driven toxicity mouse model. |
format | Online Article Text |
id | pubmed-9703746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97037462022-11-29 The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice Xie, Dadi Guo, Jinxiu Dang, Ruili Li, Yanan Si, Qingying Han, Wenxiu Wang, Shan Wei, Ning Meng, Junjun Wu, Linlin BMC Pharmacol Toxicol Research Tacrolimus (Tac) is a common immunosuppressant that used in organ transplantation. However, its therapeutic index is narrow, and it is prone to adverse side effects, along with an increased risk of toxicity, namely, cardio-, nephro-, hepato-, and neurotoxicity. Prior metabolomic investigations involving Tac-driven toxicity primarily focused on changes in individual organs. However, extensive research on multiple matrices is uncommon. Hence, in this research, the authors systemically evaluated Tac-mediated toxicity in major organs, namely, serum, brain, heart, liver, lung, kidney, and intestines, using gas chromatography−mass spectrometry (GC-MS). The authors also employed multivariate analyses, including orthogonal projections to the latent structure (OPLS) and t-test, to screen 8 serum metabolites, namely, D-proline, glycerol, D-fructose, D-glucitol, sulfurous acid, 1-monopalmitin (MG (16:0/0:0/0:0)), glycerol monostearate (MG (0:0/18:0/0:0)), and cholesterol. Metabolic changes within the brain involved alterations in the levels of butanamide, tartronic acid, aminomalonic acid, scyllo-inositol, dihydromorphine, myo-inositol, and 11-octadecenoic acid. Within the heart, the acetone and D-fructose metabolites were altered. In the liver, D-glucitol, L-sorbose, palmitic acid, myo-inositol, and uridine were altered. In the lung, L-lactic acid, L-5-oxoproline, L-threonine, phosphoric acid, phosphorylethanolamine, D-allose, and cholesterol were altered. Lastly, in the kidney, L-valine and D-glucose were altered. Our findings will provide a systematic evaluation of the metabolic alterations in target organs within a Tac-driven toxicity mouse model. BioMed Central 2022-11-28 /pmc/articles/PMC9703746/ /pubmed/36443830 http://dx.doi.org/10.1186/s40360-022-00626-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xie, Dadi Guo, Jinxiu Dang, Ruili Li, Yanan Si, Qingying Han, Wenxiu Wang, Shan Wei, Ning Meng, Junjun Wu, Linlin The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title | The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title_full | The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title_fullStr | The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title_full_unstemmed | The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title_short | The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
title_sort | effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703746/ https://www.ncbi.nlm.nih.gov/pubmed/36443830 http://dx.doi.org/10.1186/s40360-022-00626-x |
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