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Higher genetic susceptibility to inflammation in mild disease activity of systemic lupus erythematosus
Authors:Li-Jen Tsai  Sheng-Hsiung Hsiao  Jaw-Ji Tsai  Ching-Yuang Lin  Lih-Min Tsai  Joung-Liang Lan
Affiliation:(1) College of Engineering, National Taiwan University of Science and Technology, Taipei, 10672, Taiwan;(2) Department of Informatics, National Research Institute of Chinese Medicine, Taipei, 11267, Taiwan;(3) Department of Medical Education &; Research, Taichung Veterans General Hospital, Taichung, 40407, Taiwan;(4) Department of Pediatrics, Veterans General Hospital-Taipei and Changhua Christian Hospital, Changhua, 50043, Taiwan;(5) Department of Medical Research, E-Da Hospital / I-Shou University, Kaohsiung County, 82445, Taiwan;(6) Department of Internal Medicine, Taichung Veterans General Hospital, No. 160, Sect. 3, Chung-Kang Road, Taichung, 00407, Taiwan, Republic of China;
Abstract:In order to test the hypothesis that stratification of Mexican Modification of the Systemic Lupus Erythematosus Disease Activity Index (MEX-SLEDAI) simplifies the genetic study of SLE, we evaluated the genetic susceptibility to inflammation and defects in clearance of immune complexes among SLE patients in Taiwan. SLE phenotypes were stratified according to the MEX-SLEDAI scores into two subgroups (≤10 and >10), and then according to renal disorder and neurological disorder, aiming to minimize any loss of power associated with disease heterogeneity. Upon stratification, IL1-β polymorphism and LTA were significantly associated with SLE within the MEX-SLEDAI ≤10 subgroup. When SLE patients were classified into two subgroups with or without renal disorder to stratify the genetic study, we could find that the stratification with renal disorder could partially confirm the hypothesis that stratification of MEX-SLEDAI score simplifies the genetic study of complex diseases such as SLE. So we concluded that in the mild disease state of SLE, stratification of disease phenotypes, especially IL1-β and LTA, according to MEX-SLEDAI scores could reveal new associations between candidate genes and disease activity index of SLE. Li-Jen Tsai and Sheng-Hsiung Hsiao have contributed equally to this study.
Keywords:Systemic lupus erythematosus  Disease activity index  Genetic susceptibility  Inflammation
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