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Alteration of gut microbiome and correlated amino acid metabolism are associated with acute myelocytic leukemia carcinogenesis

BACKGROUND: The aim of this study is to investigate the profiles of gut microbiota and metabolites in acute myelocytic leukemia (AML) patients treated with/without chemotherapy. METHODS: Herein, high‐throughput 16S rRNA gene sequencing was performed to analysis gut microbiota profiles, and liquid ch...

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Detalles Bibliográficos
Autores principales: Xu, Jing, Kang, Yong, Zhong, Yan, Ye, Wencan, Sheng, Tianle, Wang, Qingming, Zheng, Jifu, Yang, Qiuyue, Yi, Ping, Li, Zhenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469656/
https://www.ncbi.nlm.nih.gov/pubmed/37409640
http://dx.doi.org/10.1002/cam4.6283
Descripción
Sumario:BACKGROUND: The aim of this study is to investigate the profiles of gut microbiota and metabolites in acute myelocytic leukemia (AML) patients treated with/without chemotherapy. METHODS: Herein, high‐throughput 16S rRNA gene sequencing was performed to analysis gut microbiota profiles, and liquid chromatography and mass spectrometry were performed to analysis metabolites profiles. The correlation between gut microbiota biomarkers identified by LEfSe and differentially expressed metabolites were determined by spearman association analysis. RESULTS: The results showed the distinguished gut microbiota and metabolites profiles between AML patients and control individuals or AML patients treated with chemotherapy. Compared to normal populations, the ratio of Firmicutes to Bacteroidetes was increased at the phylum level than that in AML patients, and LEfSe analysis identified Collinsella and Coriobacteriaceae as biomarkers of AML patients. Differential metabolite analysis indicated that, compared to AML patients, numerous differential amino acids and analogs could be observed in control individuals and AML patients treated with chemotherapy. Interestingly, spearman association analysis demonstrated that plenty of bacteria biomarkers shows statistical correlations with differentially expressed amino acid metabolites. In addition, we found that both Collinsella and Coriobacteriaceae demonstrate remarkable positive correlation with hydroxyprolyl‐hydroxyproline, prolyl‐tyrosine, and tyrosyl‐proline. CONCLUSION: In conclusion, our present study investigated the role of the gut‐microbiome–metabolome axis in AML and revealed the possibility of AML treatment by gut‐microbiome–metabolome axis in the further.