Plasma proteomic analysis of systemic lupus erythematosus patients using liquid chromatography/tandem mass spectrometry with label-free quantification

Rashmi Madda, Shih Chang Lin, Wei Hsin Sun*, Shir Ly Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Context: Systemic lupus erythematosus (SLE) is a chronic inflammatory autoimmune disease with unknown etiology. Objective: Human plasma is comprised of over 10 orders of magnitude concentration of proteins and tissue leakages. The changes in the abundance of these proteins have played an important role in various human diseases. Therefore, the research objective of this study is to identify the significantly altered expression levels of plasma proteins from SLE patients compared with healthy controls using proteomic analysis. The plasma proteome profiles of both SLE patients and controls were compared. Methods: A total of 19 active SLE patients and 12 healthy controls plasma samples were analyzed using high-resolution electrospray ionization liquid chromatographytandem mass spectrometry (LC-ESI-MS/MS) followed by label-free quantification. Results: A total of 19 proteins showed a significant level of expression in the comparative LC-ESI-MS/MS triplicate analysis; among these, 14 proteins had > 1.5-to three-fold up-regulation and five had < 0.2-to 0.6-fold down-regulation. Gene ontology and DAVID (Database Annotation Visualization, and Integrated Discovery) functional enrichment analysis revealed that these proteins are involved in several important biological processes including acute phase inflammatory responses, complement activation, hemostasis, and immune system regulation. Conclusion: Our study identified a group of differentially expressed proteins in the plasma of SLE patients that are involved in the imbalance of the immune system and inflammatory responses. Therefore, these findings may have the potential to be used as prognostic/diagnostic markers for SLE disease assessment or disease monitoring.

Original languageEnglish
Article numbere4730
JournalPeerJ
Volume2018
Issue number5
DOIs
StatePublished - 2018

Keywords

  • Biomarkers
  • Label-free quantification
  • LC-MS/MS
  • Lupus
  • Plasma
  • Protein profiling
  • Proteomic analysis
  • Proteomics

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