Integration of multi-omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease

多组学层面整合,揭示枫糖尿病致病机制,助力精准诊断

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作者:Juan Ramón Tejedor, Alejandro Soriano-Sexto, Leonardo Beccari, Natalia Castejón-Fernández, Patricia Correcher, Lidia Sainz-Ledo, Juan José Alba-Linares, Rocío G Urdinguio, Magdalena Ugarte, Agustín F Fernández, Pilar Rodríguez-Pombo, Mario F Fraga, Belén Pérez

Abstract

Maple syrup urine disease (MSUD) is a rare inherited metabolic disorder characterized by deficient activity of the branched-chain alpha-ketoacid dehydrogenase (BCKDH) complex, required to metabolize the amino acids leucine, isoleucine, and valine. Despite its profound metabolic implications, the molecular alterations underlying this metabolic impairment had not yet been completely elucidated. We performed a comprehensive multi-omics integration analysis, including genomic, epigenomic, and transcriptomic data from fibroblasts derived from a cohort of MSUD patients and unaffected controls to genetically characterize an MSUD case and to unravel the MSUD pathophysiology. MSUD patients exhibit a defined episignature that reshapes the global DNA methylation landscape, resulting in the stimulation of HOX cluster genes and the restriction of cell cycle gene-related signatures. Subsequent data integration revealed the impact of AP1-related and CEBPB transcription factors on the observed molecular reorganization, with MEIS1 emerging as a potential downstream candidate affected by robust epigenetic repression in MSUD patients. Furthermore, the integration of multi-omics layers facilitated the identification of a strong epigenetic repression in the DBT promoter in a patient wherein no BCKDH pathogenic variants had been detected. A Circular Chromatin Conformation Capture assay indicated a disturbance of the interactions of DBT promoter, thereby unveiling alternative modes of disease inheritance. Integration of multi-omics data unveiled underlying molecular networks rewired in MSUD patients and represents a powerful approach with diagnostic potential for rare genetic disorders with unknown genetic bases.

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