The recently developed technologies that allow the analysis of each single omics have provided an unbiased insight into ongoing disease processes.However,it remains challenging to specify the study design for the subs...The recently developed technologies that allow the analysis of each single omics have provided an unbiased insight into ongoing disease processes.However,it remains challenging to specify the study design for the subsequent integration strategies that can associate sepsis pathophysiology and clinical outcomes.Here,we conducted a time-dependent multi-omics integration(TDMI)in a sepsis-associated liver dysfunction(SALD)model.We successfully deduced the relation of the Toll-like receptor 4(TLR4)pathway with SALD.Although TLR4 is a critical factor in sepsis progression,it is not specified in single-omics analyses but only in the TDMI analysis.This finding indicates that the TDMI-based approach is more advantageous than single-omics analyses in terms of exploring the underlying pathophysiological mechanism of SALD.Furthermore,TDMI-based approach can be an ideal paradigm for insightful biological interpretations of multi-omics datasets that will potentially reveal novel insights into basic biology,health,and diseases,thus allowing the identification of promising candidates for therapeutic strategies.展开更多
基金supported by the National Research Foundation of Korea funded by the Korean government[Ministry of Science and ICT(MSIT)](Grant Nos.2021R1A6A3A01086425 and 2022R1A4A1018900).
文摘The recently developed technologies that allow the analysis of each single omics have provided an unbiased insight into ongoing disease processes.However,it remains challenging to specify the study design for the subsequent integration strategies that can associate sepsis pathophysiology and clinical outcomes.Here,we conducted a time-dependent multi-omics integration(TDMI)in a sepsis-associated liver dysfunction(SALD)model.We successfully deduced the relation of the Toll-like receptor 4(TLR4)pathway with SALD.Although TLR4 is a critical factor in sepsis progression,it is not specified in single-omics analyses but only in the TDMI analysis.This finding indicates that the TDMI-based approach is more advantageous than single-omics analyses in terms of exploring the underlying pathophysiological mechanism of SALD.Furthermore,TDMI-based approach can be an ideal paradigm for insightful biological interpretations of multi-omics datasets that will potentially reveal novel insights into basic biology,health,and diseases,thus allowing the identification of promising candidates for therapeutic strategies.
