Microbial pathogenesis · 2025
Characterization of blood and urine microbiome temporal variability in patients with acute myeloid leukemia.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Liu Wanying, Chen Shaozhen, Yang Jiajie, Chen Yanxin, Yang Qinwen, Lu Lihua, Li Jiazheng, Yang Ting, Zhang Guanbin, Hu Jianda
Аннотация
BACKGROUND: Investigating the microbiota of blood and urine from acute myeloid leukemia (AML) patients is essential to unravel the complex role of microbiota in systemic host-microbe interactions and implications.
METHODS: We conducted a longitudinal observational study to characterize the temporal dynamics of blood and urine microbiota in 27 AML patients, utilizing metagenomic analysis pipeline for microbial identification to identify disease-associated microbial signatures.
RESULTS: The composition of blood and urine microbiota of AML was dominated by Proteobacteria phylum in blood, Firmicutes phylum in urine. The species and diversity of blood and urine microbiota did not have difference between AML patients and healthy controls. Restitution of alpha and beta diversity of blood microbiota and urine microbiota to resemble that of healthy controls occurred after cessation of treatment. Temporal variation of urine microbiome was higher than blood after treatment which was closely related to pathogenic bacteria and beneficial bacteria measured by coefficient of variation (CV) of alpha diversity. The temporal variability of urine microbiota was significantly correlated with platelet and exposure of levofloxacin. The variation of microbiome of AML patients with infection was found that the relative abundance of Burkholderia significantly enriched in blood and urine which had high accuracy and sensitivity. The correlation between blood microbiota and serum amino acid metabolites was similar to that between gut microbiota and serum metabolites.
CONCLUSION: This study represents the first comprehensive investigation to quantify the longitudinal variability of blood and urine microbiota in AML patients, revealing distinct patterns compared to gut microbiota and associations with adverse clinical outcomes. Our findings highlight the potential of leveraging stabilizing taxa as a target for microbiome restoration.
METHODS: We conducted a longitudinal observational study to characterize the temporal dynamics of blood and urine microbiota in 27 AML patients, utilizing metagenomic analysis pipeline for microbial identification to identify disease-associated microbial signatures.
RESULTS: The composition of blood and urine microbiota of AML was dominated by Proteobacteria phylum in blood, Firmicutes phylum in urine. The species and diversity of blood and urine microbiota did not have difference between AML patients and healthy controls. Restitution of alpha and beta diversity of blood microbiota and urine microbiota to resemble that of healthy controls occurred after cessation of treatment. Temporal variation of urine microbiome was higher than blood after treatment which was closely related to pathogenic bacteria and beneficial bacteria measured by coefficient of variation (CV) of alpha diversity. The temporal variability of urine microbiota was significantly correlated with platelet and exposure of levofloxacin. The variation of microbiome of AML patients with infection was found that the relative abundance of Burkholderia significantly enriched in blood and urine which had high accuracy and sensitivity. The correlation between blood microbiota and serum amino acid metabolites was similar to that between gut microbiota and serum metabolites.
CONCLUSION: This study represents the first comprehensive investigation to quantify the longitudinal variability of blood and urine microbiota in AML patients, revealing distinct patterns compared to gut microbiota and associations with adverse clinical outcomes. Our findings highlight the potential of leveraging stabilizing taxa as a target for microbiome restoration.