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Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury

Drug induced liver injury (DILI) is a kind of liver dysfunction which caused by drugs, and gut microbiota could affect liver injury. However, the relationship between gut microbiota and its metabolites in DILI patients is not clear. The total gut microbiota DNA was extracted from 28 DILI patient and...

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Autores principales: He, Kaini, Liu, Mimi, Wang, Qian, Chen, Sijie, Guo, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499917/
https://www.ncbi.nlm.nih.gov/pubmed/37704684
http://dx.doi.org/10.1038/s41598-023-42312-w
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author He, Kaini
Liu, Mimi
Wang, Qian
Chen, Sijie
Guo, Xiaoyan
author_facet He, Kaini
Liu, Mimi
Wang, Qian
Chen, Sijie
Guo, Xiaoyan
author_sort He, Kaini
collection PubMed
description Drug induced liver injury (DILI) is a kind of liver dysfunction which caused by drugs, and gut microbiota could affect liver injury. However, the relationship between gut microbiota and its metabolites in DILI patients is not clear. The total gut microbiota DNA was extracted from 28 DILI patient and 28 healthy control volunteers (HC) and 16S rDNA gene were amplified. Next, differentially metabolites were screened. Finally, the correlations between the diagnostic strains and differentially metabolites were studied.The richness and uniformity of the bacterial communities decreased in DILI patients, and the structure of gut microbiota changed obviously. Enterococcus and Veillonella which belong to Firmicutes increased in DILI, and Blautia and Ralstonia which belong to Firmicutes, Dialister which belongs to Proteobacteria increased in HC. In addition, these diagnostic OTUs of DILI were associated with the DILI damage mechanism. On the other hands, there were 66 differentially metabolites between DILI and HC samples, and these metabolites were mainly enriched in pyrimidine metabolism and steroid hormone biosynthesis pathways. Furthermore, the collinear network map of the key microbiota-metabolites were constructed and the results indicated that Cortodoxone, Prostaglandin I1, Bioyclo Prostaglandin E2 and Anacardic acid were positively correlated with Blautia and Ralstonia, and negatively correlated with Veillonella.This study analyzed the changes of DILI from the perspective of gut microbiota and metabolites. Key strains and differentially metabolites of DILI were screened and the correlations between them were studied. This study further illustrated the mechanism of DILI.
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spelling pubmed-104999172023-09-15 Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury He, Kaini Liu, Mimi Wang, Qian Chen, Sijie Guo, Xiaoyan Sci Rep Article Drug induced liver injury (DILI) is a kind of liver dysfunction which caused by drugs, and gut microbiota could affect liver injury. However, the relationship between gut microbiota and its metabolites in DILI patients is not clear. The total gut microbiota DNA was extracted from 28 DILI patient and 28 healthy control volunteers (HC) and 16S rDNA gene were amplified. Next, differentially metabolites were screened. Finally, the correlations between the diagnostic strains and differentially metabolites were studied.The richness and uniformity of the bacterial communities decreased in DILI patients, and the structure of gut microbiota changed obviously. Enterococcus and Veillonella which belong to Firmicutes increased in DILI, and Blautia and Ralstonia which belong to Firmicutes, Dialister which belongs to Proteobacteria increased in HC. In addition, these diagnostic OTUs of DILI were associated with the DILI damage mechanism. On the other hands, there were 66 differentially metabolites between DILI and HC samples, and these metabolites were mainly enriched in pyrimidine metabolism and steroid hormone biosynthesis pathways. Furthermore, the collinear network map of the key microbiota-metabolites were constructed and the results indicated that Cortodoxone, Prostaglandin I1, Bioyclo Prostaglandin E2 and Anacardic acid were positively correlated with Blautia and Ralstonia, and negatively correlated with Veillonella.This study analyzed the changes of DILI from the perspective of gut microbiota and metabolites. Key strains and differentially metabolites of DILI were screened and the correlations between them were studied. This study further illustrated the mechanism of DILI. Nature Publishing Group UK 2023-09-13 /pmc/articles/PMC10499917/ /pubmed/37704684 http://dx.doi.org/10.1038/s41598-023-42312-w Text en © The Author(s) 2023 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
He, Kaini
Liu, Mimi
Wang, Qian
Chen, Sijie
Guo, Xiaoyan
Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title_full Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title_fullStr Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title_full_unstemmed Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title_short Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
title_sort combined analysis of 16s rdna sequencing and metabolomics to find biomarkers of drug-induced liver injury
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499917/
https://www.ncbi.nlm.nih.gov/pubmed/37704684
http://dx.doi.org/10.1038/s41598-023-42312-w
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