Biomarker Profiling for Lupus Nephritis

Yajuan Li, Xiangdong Fang, Quan Zhen Li

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE), which is associated with significant morbidity and mortality of SLE patients. The pathogenesis of LN involves multiple factors, including genetic predisposition, epigenetic regulation and environmental interaction. Over the last decade, omics-based techniques have been extensively utilized for biomarker screening and a wide variety of variations which are associated with SLE and LN have been identified at the levels of genomics, transcriptomics and proteomics. These studies and discoveries have expanded our understanding of the molecular basis of the disease and are important for identification of potential therapeutic targets for disease prediction and early treatment. In this review, we summarize some of the recent studies targeted at the identification of LN-associated biomarkers using genomics and proteomic approaches.

Original languageEnglish (US)
Pages (from-to)158-165
Number of pages8
JournalGenomics, Proteomics and Bioinformatics
Volume11
Issue number3
DOIs
StatePublished - Jun 2013

Fingerprint

Lupus Nephritis
Proteomics
Biomarkers
Profiling
Genomics
Systemic Lupus Erythematosus
Morbidity
Mortality
Screening
Target
Prediction
Genetic Predisposition to Disease
Interaction
Epigenomics
Therapeutics
Review

Keywords

  • Biomarker
  • Epigenetics
  • Genetics
  • Lupus nephritis
  • Protein

ASJC Scopus subject areas

  • Genetics
  • Molecular Biology
  • Biochemistry
  • Computational Mathematics

Cite this

Biomarker Profiling for Lupus Nephritis. / Li, Yajuan; Fang, Xiangdong; Li, Quan Zhen.

In: Genomics, Proteomics and Bioinformatics, Vol. 11, No. 3, 06.2013, p. 158-165.

Research output: Contribution to journalArticle

Li, Yajuan ; Fang, Xiangdong ; Li, Quan Zhen. / Biomarker Profiling for Lupus Nephritis. In: Genomics, Proteomics and Bioinformatics. 2013 ; Vol. 11, No. 3. pp. 158-165.
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