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Serum aminoacyl-tRNA synthetase-interacting multifunctional protein-1 (AIMP1), a novel disease activity predictive biomarker of systemic lupus erythematosus
  • Ahn, Sung Soo ;
  • Hong, Shin Hee ;
  • Park, Younhee ;
  • Jung, Seung Min ;
  • Song, Jason Jungsik ;
  • Park, Yong Beom ;
  • Lee, Sang Won ;
  • Park, Sang Gyu
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Publication Year
2018-07-01
Journal
Clinical and experimental rheumatology
Citation
Clinical and experimental rheumatology, Vol.36 No.4, pp.533-539
Mesh Keyword
AdultBiomarkersCytokinesFemaleHumansLogistic ModelsLupus Erythematosus, SystemicMaleMiddle AgedNeoplasm ProteinsRNA-Binding ProteinsSeverity of Illness Index
All Science Classification Codes (ASJC)
RheumatologyImmunology and AllergyImmunology
Abstract
OBJECTIVES: Secreted aminoacyl-tRNA synthetase-interacting multifunctional protein-1 (AIMP1) has been reported to have pro-inflammatory properties. The aim of this study was to evaluate the clinical significance of serum AIMP1 in patients with systemic lupus erythematosus (SLE). METHODS: Serum levels of AIMP1 were measured in 160 patients with SLE using a human AIMP1 ELISA kit. Eighty patients were classified as active SLE (SLEDAI-2K ≥ 5), and 80 patients were classified as stable SLE. Correlation between serum AIMP1, SLE disease activity index-2000 (SLEDAI-2K), and laboratory variables related to disease activity or inflammatory burdens were assessed using Pearson's correlation analysis. The optimal cut-off value for serum AIMP1 to predict active SLE was estimated by using a receiver operator characteristic curve, and logistic regression analysis was used to compare the odds ratios (ORs) of laboratory variables in predicting active SLE. RESULTS: The median serum AIMP1 was higher in patients with active SLE than those with stable SLE (8.0 vs. 6.5 ng/ml, p<0.001). Serum AIMP1 demonstrated correlation with SLEDAI-2K and laboratory variables related to disease activity or inflammatory burdens. The optimal cut-off AIMP1 to predict active SLE was 10.09. Multivariate logistic regression analysis including conventional laboratory variables demonstrated that serum AIMP1 ≥10.09 ng/ml (OR 3.919, 95% confidence interval 1.223-12.564, p=0.022) was useful in predicting active SLE. CONCLUSIONS: Serum levels of AIMP1 were associated with disease activity of SLE and could predict active SLE based on SLEDAI-2K.
ISSN
0392-856X
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/30374
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053535818&origin=inward
Type
Article
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Park, Sang Gyu박상규
Division of Pharmacy Sciences
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