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Comprehensive transcriptomic analysis highlights immune and cell-cycle dysregulation in Diamond-Blackfan Anaemia
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DOI：10.1007/s00438-026-02410-6.png)
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Abstract
En 中文
Diamond-Blackfan Anaemia (DBA) is a rare inherited bone marrow failure syndrome conventionally attributed to ribosomal protein gene haploinsufficiency, resulting in impaired ribosome assembly and compromised erythroid precursor viability. However, contemporary research reveals considerably more complex molecular mechanisms driving disease pathology. This study aimed to comprehensively characterise the transcriptional and post-transcriptional regulatory networks contributing to DBA pathogenesis using integrative mRNA-miRNA sequencing of patient-derived bone marrow specimens. Our analysis revealed extensive dysregulation across immune, proliferative, and erythroid differentiation pathways. A coordinated elevation of immune-associated genes, such as TNF, CXCL8, TLR2/4, and CD44, suggests the establishment of a hyperinflammatory bone marrow microenvironment. In contrast, significant downregulation of essential mitotic and epigenetic regulatory factors, particularly CDC25A/C, CDK1/2, and AURKA, reflects disrupted cell cycle dynamics and impaired hematopoietic proliferation. Integrative miRNA-mRNA analysis identified dysregulated miRNAs as critical mediators of these processes. Downregulation of anti-inflammatory miRNAs (e.g., miR-93-5p, miR-143-3p, miR-19a-3p) and upregulation of mitotic suppressor miRNAs (e.g., let-7a, miR-141, miR-31, miR-21) indicate post-transcriptional disruption of immune and cell-cycle balance. Together, these findings reveal a multifaceted regulatory framework in DBA where transcriptional and miRNA-mediated perturbations converge to drive immune activation and impaired erythropoiesis, challenging prevailing ribosomopathy-centric models and highlighting potential molecular targets for therapeutic intervention. [GRAPHICS]
Keywords:
Diamond-Blackfan Anaemia
Bone marrow microenvironment
miRNA-mRNA networks
Erythropoiesis dysregulation
Transcriptomic profiling
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