Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers
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ABSTRACT:
SUBMITTER: Kang K
PROVIDER: S-EPMC11343415 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:Acute myeloid leukemia (AML) in children is a complex and heterogeneous disease. The identification of reliable and stable molecular biomarkers for diagnosis, especially early diagnosis, remains a significant therapeutic challenge. Aberrant microRNA expression could be used for cancer diagnosis and treatment selection. Here, we describe a novel bioinformatics model for the prediction of microRNA biomarkers for the diagnosis of paediatric AML based on computational functional analysis of the microRNA regulatory network substructure. microRNA-196b, microRNA-155 and microRNA-25 were identified as putative diagnostic biomarkers for pediatric AML. Further systematic analysis confirmed the association of the predicted microRNAs with the leukemogenesis of AML. In vitro q-PCR experiments showed that microRNA-155 is significantly overexpressed in children with AML and microRNA-196b is significantly overexpressed in subgroups M4-M5 of the French-American-British classification system. These results suggest that microRNA-155 is a potential diagnostic biomarker for all subgroups of paediatric AML, whereas microRNA-196b is specific for subgroups M4-M5.
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Project description:Sepsis is a life-threatening condition with high hospital mortality. Elevated mortality has also been observed in patients after hospital discharge, associated with post sepsis syndrome (PSS), causing systemic impairments and reduced life quality. The etiology of PSS is still not completely known but certainly involves inflammation. Extracellular vesicles (EV) are recognized as a notable mechanism of intercellular communication in inflammatory processes. It has been reported that EV microRNA (miRNA) production patterns during the acute phase of the disease may persist until after sepsis resolution and are associated with PSS. Methods: We employed mass spectrometry and qPCR to characterize the protein and miRNA composition of plasma-derived EVs of 35 patients during sepsis-related hospitalization and after discharge (post-sepsis) for up to three years. Findings: Fifteen differentially expressed EVs miRNAs (DEMiRs) were identified in septic patients compared to the control group. Predictive analyses revealed that these DEMiRs could influence inflammation by modulating pathways mediated by the activation of NF-κB, STAT3, and TLR4. Thirteen miRNAs (-15b-5p, -16-5p, -20a-5p, -25-3p, -27a-3p, -29a-3p, -30d-5p, -93-5p, -146a-5p, -148a -3p, -191-5p, -195-5p, -223-3p) were downregulated in the death group compared to the survivor group and are candidates for serving as prognostic markers of survival in the Intensive Care Unit. The expression of 11 miRNAs (-15b-5p, -16-5p, -21-5p, -25-3p, -27a-3p, -29a-3p, -30d-5p, -93-5p, -146a-5p -195- 5p and -223-3p) was lower one year after ICU discharge than the control group. Interpretation: The miRNAs identified in the present study represent potential biomarkers for the survival prognosis of post-sepsis patients.
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