4.7 Article

Novel Autoimmune Hepatitis-Specific Autoantigens Identified Using Protein Microarray Technology

期刊

JOURNAL OF PROTEOME RESEARCH
卷 9, 期 1, 页码 30-39

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr900131e

关键词

AIH; biomarker; human protein chip; autoantigens; serum; autoimmune; human liver; clinical proteomics

资金

  1. Ministry of Science and Technology of the People's Republic of China [2006AA02A311]
  2. National Natural Science Foundation of China [30640084, 30872331]
  3. NIH [R01GM076102]
  4. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM076102] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Autoimmune hepatitis (AIH) is a chronic necroinflammatory disease of the liver with a poorly understood etiology. Detection of nonorgan-specific and liver-related autoantibodies using immunoserological approaches has been widely used for diagnosis and prognosis. However, unambiguous and accurate detection of the disease requires the identification and characterization of disease-specific autoantigens. In the present study, we have profiled the autoantigen repertoire of patients with AIH versus those with other liver diseases, identifying and validating three novel and highly specific biomarkers for AIH. In phase I, we fabricated a human protein chip of 5011 nonredundant proteins and used it to quickly identify 11 candidate autoantigens with relative small serum collection. In phase II, we fabricated an AIH-specific protein chip and obtained autoimmunogenic profiles of serum samples from 44 AIH patients, 50 healthy controls, and 184 additional patients suffering from hepatitis B, hepatitis C, systemic lupus erythematosus, primary Sjogren's syndrome, rheumatoid arthritis, or primary biliary cirrhosis. With this two-phase approach, we identified three new antigens, RPS20, Alba-like, and dUTPase, as highly AIH-specific biomarkers, with sensitivities of 47.5% (RPS20), 45.5% (Alba-like), and 22.7% (dUTPase). These potential biomarkers were further validated with additional AN samples in a double-blind design. Finally, we demonstrated that these new biomarkers could be readily applied to ELISA-based assays for use in clinical diagnosis/prognosis.

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