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Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia
Induction chemotherapy for patients with acute myeloid leukemia (AML) is a unique clinical scenario. These patients spend several weeks in the hospital, receiving multiple antibiotics, experiencing gastrointestinal mucosal damage, and suffering severe impairments in their immune system and nutrition...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346123/ https://www.ncbi.nlm.nih.gov/pubmed/35918343 http://dx.doi.org/10.1038/s41597-022-01600-2 |
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author | Rashidi, Armin Ebadi, Maryam Rehman, Tauseef Ur Elhusseini, Heba Halaweish, Hossam Kaiser, Thomas Holtan, Shernan G. Khoruts, Alexander Weisdorf, Daniel J. Staley, Christopher |
author_facet | Rashidi, Armin Ebadi, Maryam Rehman, Tauseef Ur Elhusseini, Heba Halaweish, Hossam Kaiser, Thomas Holtan, Shernan G. Khoruts, Alexander Weisdorf, Daniel J. Staley, Christopher |
author_sort | Rashidi, Armin |
collection | PubMed |
description | Induction chemotherapy for patients with acute myeloid leukemia (AML) is a unique clinical scenario. These patients spend several weeks in the hospital, receiving multiple antibiotics, experiencing gastrointestinal mucosal damage, and suffering severe impairments in their immune system and nutrition. These factors cause major disruptions to the gut microbiota to a level rarely seen in other clinical conditions. Thus, the study of the gut microbiota in these patients can reveal novel aspects of microbiota-host relationships. When combined with the circulating metabolome, such studies could shed light on gut microbiota contribution to circulating metabolites. Collectively, gut microbiota and circulating metabolome are known to regulate host physiology. We have previously deposited amplicon sequences from 566 fecal samples from 68 AML patients. Here, we provide sample-level details and a link, using de-identified patient IDs, to additional data including serum metabolomics (260 samples from 36 patients) and clinical metadata. The detailed information provided enables comprehensive multi-omics analysis. We validate the technical quality of these data through 3 examples and demonstrate a method for integrated analysis. |
format | Online Article Text |
id | pubmed-9346123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93461232022-08-04 Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia Rashidi, Armin Ebadi, Maryam Rehman, Tauseef Ur Elhusseini, Heba Halaweish, Hossam Kaiser, Thomas Holtan, Shernan G. Khoruts, Alexander Weisdorf, Daniel J. Staley, Christopher Sci Data Data Descriptor Induction chemotherapy for patients with acute myeloid leukemia (AML) is a unique clinical scenario. These patients spend several weeks in the hospital, receiving multiple antibiotics, experiencing gastrointestinal mucosal damage, and suffering severe impairments in their immune system and nutrition. These factors cause major disruptions to the gut microbiota to a level rarely seen in other clinical conditions. Thus, the study of the gut microbiota in these patients can reveal novel aspects of microbiota-host relationships. When combined with the circulating metabolome, such studies could shed light on gut microbiota contribution to circulating metabolites. Collectively, gut microbiota and circulating metabolome are known to regulate host physiology. We have previously deposited amplicon sequences from 566 fecal samples from 68 AML patients. Here, we provide sample-level details and a link, using de-identified patient IDs, to additional data including serum metabolomics (260 samples from 36 patients) and clinical metadata. The detailed information provided enables comprehensive multi-omics analysis. We validate the technical quality of these data through 3 examples and demonstrate a method for integrated analysis. Nature Publishing Group UK 2022-08-02 /pmc/articles/PMC9346123/ /pubmed/35918343 http://dx.doi.org/10.1038/s41597-022-01600-2 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Rashidi, Armin Ebadi, Maryam Rehman, Tauseef Ur Elhusseini, Heba Halaweish, Hossam Kaiser, Thomas Holtan, Shernan G. Khoruts, Alexander Weisdorf, Daniel J. Staley, Christopher Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title | Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title_full | Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title_fullStr | Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title_full_unstemmed | Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title_short | Compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
title_sort | compilation of longitudinal gut microbiome, serum metabolome, and clinical data in acute myeloid leukemia |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346123/ https://www.ncbi.nlm.nih.gov/pubmed/35918343 http://dx.doi.org/10.1038/s41597-022-01600-2 |
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