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Reviews

Advances in applying of multi-omics approaches in the research of systemic lupus erythematosus

Summarization of biomarkers from different omics, and discussion of challenges and advances in integrative analysis of multi-omics in SLE studies

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Pages 163-173 | Received 28 Jun 2019, Accepted 24 Feb 2020, Published online: 06 Mar 2020
 

Abstract

Systemic lupus erythematosus (SLE), an autoimmune disease that causes multiorgan injury, has an unclear etiology and complex pathogenesis. Numerous studies have found abnormal alterations in mRNAs, proteins and/or metabolites in SLE patients. These findings have extended our understanding of the pathogenesis of SLE. Novel omics techniques, such as transcriptome, proteome and metabolome profiling, can identify and quantify large numbers of biomarkers of human diseases. However, in most cases, biological reactions are the consequences of interactions among genes, proteomes, and metabolites. Single biomolecules or signaling pathways cannot fully explain biological traits or functions. Therefore, integrative multi-omics analysis can help us systematically comprehend the intrinsic molecular mechanisms underlying biological function and pathogenesis. Integrating transcriptome, proteome, and metabolome KEGG enrichment analysis data will expand our knowledge of the pathogenesis of SLE. This review discusses the application, research progress and outlook on integrative multi-omics analysis in SLE research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Contributorship

Wencong Song and Yong Dai initiated the idea of writing this review. Dehang Chen, Lianghong Yin, Yong Xu and Fengping Zhen created the figures and Shaoying Huang, Donge Tang, HaiyanYu, Jingquan He, Dongzhou Liu, Weier Dai shared expertise on the application of integrative analysis of Multi-Omics in SLE. All authors shared common opinions and wrote various parts of the manuscript.

Additional information

Funding

This project was supported by the National Natural Science Foundation of China (Grant No. 81671596), the Natural Science Foundation of Guangxi (Grant No. 2017GXNSFAA198375), the National Science Foundation for Young Scientists of China (Grant No. 31700795), the Key Research and Development Program of Guangdong Province (Grant No. 2019B020229001), this work was supported by grants Sanming project of medicine in Shenzhen, the group of Rheumatology and Immunology leaded by Xiaofeng Zeng of Peking Union medical college Hospital and Dongzhou Liu in Shenzhen People’s Hospital (SYJY201704 and SYJY201705).

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