Autoantibodies to transcription intermediary factor TIF1β associated with dermatomyositis

与皮肌炎相关的转录中介因子 TIF1β 自身抗体

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作者:Minoru Satoh, Jason Y F Chan, Steven J Ross, Yi Li, Yoshioki Yamasaki, Hidehiro Yamada, Monica Vazquez-del Mercado, Marcelo H Petri, Luis J Jara, Miguel A Saavedra, Claudia Cruz-Reyes, Eric S Sobel, Westley H Reeves, Angela Ceribelli, Edward K L Chan

Conclusions

Anti-TIF1β is a new DM autoantibody associated with a mild form of myopathy. Whether it has an association with malignancy, as in the case of anti-TIF1γ, or other unique features will need to be evaluated in future studies.

Methods

The 120 kD protein recognized by a prototype serum was purified and identified by mass spectrometry and immunological methods. Autoantibody to this 120 kD protein was screened in sera from 2,356 patients with various diagnoses from four countries, including 254 PM/DM, by immunoprecipitation of 35S-methionine labeled K562 cell extracts. Clinical information of patients with this specificity was collected.

Results

The 120 kD protein, which exactly comigrated with PL-12, was identified as transcription intermediary factor TIF1β (TRIM28) by mass spectrometry and validated by immunoassays. By immunofluorescence, anti-TIF1β positivity showed a fine-speckled nuclear staining pattern. Four cases of anti-TIF1β were identified; all are women, one each in a Japanese, African American, Caucasian, and Mexican individual. Three had a diagnosis of DM and one case was classified as having an undifferentiated connective tissue disease with an elevated CPK but without significant muscle symptoms. This individual also had a history of colon cancer, cervical squamous metaplasia and fibroid tumors of the uterus. Myopathy was mild in all cases and resolved without treatment in one case. The anti-TIF1β specificity was not found in other conditions. Conclusions: Anti-TIF1β is a new DM autoantibody associated with a mild form of myopathy. Whether it has an association with malignancy, as in the case of anti-TIF1γ, or other unique features will need to be evaluated in future studies.

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