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Novel Time-dependent Multi-omics Integration in Sepsis-associated Liver Dysfunction
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作者 Ann-Yae Na Hyojin Lee +7 位作者 Eun Ki Min Sanjita Paudel So Young Choi HyunChae Sim Kwang-Hyeon Liu Ki-Tae Kim Jong-Sup Bae Sangkyu Lee 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2023年第6期1101-1116,共16页
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
关键词 Multi-omics omics technology Sepsis-associated liver dysfunction single omics Time-dependent integration
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