Exploratory Study of Autoantibody Profiling in Drug‐Induced Liver Injury with an Autoimmune Phenotype

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. Autoantibod...

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Published inHepatology communications Vol. 4; no. 11; pp. 1651 - 1663
Main Authors Lammert, Craig, Zhu, Chengsong, Lian, Yun, Raman, Indu, Eckert, George, Li, Quan‐Zhen, Chalasani, Naga
Format Journal Article
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Published United States Wolters Kluwer Health Medical Research, Lippincott Williams & Wilkins 01.11.2020
John Wiley and Sons Inc
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Abstract 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.
AbstractList 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.
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.
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.
Drug-induced liver injury (DILI) sometimes presents with an autoimmune hepatitis-like phenotype (AI-DILI), and it is challenging to distinguish it from 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), 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 AIH had similar anti-neutrophil antibody and anti-smooth muscle antibody prevalence. Compared to HCs, 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 AIH to AI-DILI identified 18 (23.7%) elevated IgG but only one (1.4%) IgM autoantibodies, indicating the unique IgG autoantibody profile in AIH. Compared to DILI and HCs, increased IgM autoantibodies in AI-DILI and 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 AIH from AI-DILI. The unique IgG and IgM autoantibody signature appears to be a promising biomarker for distinguishing AI-DILI from AIH.
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.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.
Author Zhu, Chengsong
Lammert, Craig
Chalasani, Naga
Raman, Indu
Eckert, George
Li, Quan‐Zhen
Lian, Yun
AuthorAffiliation 1 Department of Medicine Indiana University School of Medicine Indianapolis IN USA
2 Department of Immunology and Internal Medicine Genomics and Microarray Core University of Texas Southwestern Dallas TX USA
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2020 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of the American Association for the Study of Liver Diseases.
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Notes These authors contributed equally to this work.
Potential conflict of interest: Dr. Chalasani consults for NuSirt, AbbVie, Allergan, Madrigal, Genentech, Foresite, Galectin, and Zydus; he has received grant support from Intercept and Exact Sciences. The other authors have nothing to report.
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  text: November 2020
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PublicationTitle Hepatology communications
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SSID ssj0001921190
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Snippet 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...
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...
Drug-induced liver injury (DILI) sometimes presents with an autoimmune hepatitis-like phenotype (AI-DILI), and it is challenging to distinguish it from...
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...
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StartPage 1651
SubjectTerms Antibiotics
Antibodies
Antigens
Biomarkers
Causality
Hepatitis
Immunoglobulins
Laboratories
Liver
Lupus
Neutrophils
Noise
Original
Phosphatase
Principal components analysis
Rheumatoid arthritis
Smooth muscle
Statistical analysis
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Title Exploratory Study of Autoantibody Profiling in Drug‐Induced Liver Injury with an Autoimmune Phenotype
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhep4.1582
https://www.ncbi.nlm.nih.gov/pubmed/33163835
https://www.proquest.com/docview/2456196639
https://www.proquest.com/docview/2458959849
https://pubmed.ncbi.nlm.nih.gov/PMC7603536
https://doaj.org/article/e824f34207444e2fbfe5b2dc9699f2b7
Volume 4
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