TY - JOUR
T1 - Exploratory Study of Autoantibody Profiling in Drug-Induced Liver Injury with an Autoimmune Phenotype
AU - Lammert, Craig
AU - Zhu, Chengsong
AU - Lian, Yun
AU - Raman, Indu
AU - Eckert, George
AU - Li, Quan Zhen
AU - Chalasani, Naga
N1 - Funding Information:
This paper represents an ancillary study from the DILIN and authors the DILIN for providing biosamples and associated clinical data. Data analyses were done by investigators from the University of Texas Southwestern and from Indiana University. We thank Dr. Herbert Bonkovsky from Wake Forest University for his critical review of the manuscript and Ms. Julianne Nanzer for her editorial assistance.
Publisher Copyright:
© 2020 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of the American Association for the Study of Liver Diseases.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Drug-induced liver injury (DILI) sometimes presents with an autoimmune hepatitis-like phenotype (AI-DILI), and it is challenging to distinguish it from de novo autoimmune hepatitis (AIH). We conducted a study to identify autoantibodies unique to AI-DILI by profiling serum autoantibodies. Autoantibodies were quantified using an autoantigen array containing 94 autoantigens from four groups: AI-DILI (n = 65), DILI controls (n = 67), de novo AIH (n = 17), and healthy controls (HCs; n = 30). In 37 patients with AI-DILI, samples were also collected 6 months after presentation. AI-DILI and de novo AIH had similar anti-neutrophil antibody and anti-smooth muscle antibody prevalence. Compared to HCs, de novo AIH had an increase in many immunoglobulin G (IgG; 35 [46.1%]) and IgM (51 [70%]) autoantibodies, whereas AI-DILI had an increase of IgM (40 [54.8%]) but not IgG autoantibodies. DILI controls had a similar IgG and IgM profile compared to HCs. Comparing de novo AIH to AI-DILI identified 18 (23.7%) elevated IgG but only one (1.4%) IgM autoantibodies, indicating the unique IgG autoantibody profile in de novo AIH. Compared to DILI and HCs, increased IgM autoantibodies in AI-DILI and de novo AIH were common; however, AI-DILI induced by different drugs showed different frequencies of IgM autoantibodies, with nitrofurantoin-related AI-DILI showing a higher number of increased IgM autoantibodies. AI-DILI autoantibody levels at diagnosis and at 6 months showed a significant decline in 37 IgM autoantibodies. A model with highly correlated IgG and IgM was fitted into multivariate logistic regression and revealed an area under the curve of 0.87 (95% confidence interval, 0.79-0.95) to distinguish de novo AIH from AI-DILI. Conclusion: The unique IgG and IgM autoantibody signature appears to be a promising biomarker for distinguishing AI-DILI from de novo AIH.
AB - Drug-induced liver injury (DILI) sometimes presents with an autoimmune hepatitis-like phenotype (AI-DILI), and it is challenging to distinguish it from de novo autoimmune hepatitis (AIH). We conducted a study to identify autoantibodies unique to AI-DILI by profiling serum autoantibodies. Autoantibodies were quantified using an autoantigen array containing 94 autoantigens from four groups: AI-DILI (n = 65), DILI controls (n = 67), de novo AIH (n = 17), and healthy controls (HCs; n = 30). In 37 patients with AI-DILI, samples were also collected 6 months after presentation. AI-DILI and de novo AIH had similar anti-neutrophil antibody and anti-smooth muscle antibody prevalence. Compared to HCs, de novo AIH had an increase in many immunoglobulin G (IgG; 35 [46.1%]) and IgM (51 [70%]) autoantibodies, whereas AI-DILI had an increase of IgM (40 [54.8%]) but not IgG autoantibodies. DILI controls had a similar IgG and IgM profile compared to HCs. Comparing de novo AIH to AI-DILI identified 18 (23.7%) elevated IgG but only one (1.4%) IgM autoantibodies, indicating the unique IgG autoantibody profile in de novo AIH. Compared to DILI and HCs, increased IgM autoantibodies in AI-DILI and de novo AIH were common; however, AI-DILI induced by different drugs showed different frequencies of IgM autoantibodies, with nitrofurantoin-related AI-DILI showing a higher number of increased IgM autoantibodies. AI-DILI autoantibody levels at diagnosis and at 6 months showed a significant decline in 37 IgM autoantibodies. A model with highly correlated IgG and IgM was fitted into multivariate logistic regression and revealed an area under the curve of 0.87 (95% confidence interval, 0.79-0.95) to distinguish de novo AIH from AI-DILI. Conclusion: The unique IgG and IgM autoantibody signature appears to be a promising biomarker for distinguishing AI-DILI from de novo AIH.
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U2 - 10.1002/hep4.1582
DO - 10.1002/hep4.1582
M3 - Article
C2 - 33163835
AN - SCOPUS:85102355154
SN - 2471-254X
VL - 4
SP - 1651
EP - 1663
JO - Hepatology Communications
JF - Hepatology Communications
IS - 11
ER -