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Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still’s Disease: A Machine Learning Study by Jia, Jinchao; Wang, Mengyan; Ma, Yuning; Teng, Jialin; Shi, Hui; Liu, Honglei; Sun, Yue; Su, Yutong; Meng, Jianfen; Chi, Huihui; Chen, Xia; Cheng, Xiaobing; Ye, Junna; Liu, Tingting; Wang, Zhihong; Wan, Liyan; Zhou, Zhuochao; Wang, Fan; Yang, Chengde; Hu, Qiongyi is a Immunology and Microbiology article available to read on EtoBox.

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Adult-onset Still's disease (AOSD) is an autoinflammatory disease with multisystem involvement. Early identification of patients with severe complications and those refractory to glucocorticoid is crucial to improve therapeutic strategy in AOSD. Exaggerated neutrophil activation and enhanced formation of neutrophil extracellular traps (NETs) in patients with AOSD were found to be closely associated with etiopathogenesis. In this study, we aim to investigate, to our knowledge for the first time, the clinical value of circulating NETs by machine learning to distinguish AOSD patients with organ involvement and refractory to glucocorticoid. Plasma samples were used to measure cell-free DNA, NE-DNA, MPO-DNA, and citH3-DNA complexes from training and validation sets. The training set included 40 AOSD patients and 24 healthy controls (HCs), and the validation set included 26 AOSD patients and 16 HCs. Support vector machines (SVM) were used for modeling and validation of circulating NETs signature for the diagnosis of AOSD and identifying patients refractory to low-dose glucocorticoid treatment. The training set was used to build a model, and the validation set was used to test the predict

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Author

Jia, Jinchao; Wang, Mengyan; Ma, Yuning; Teng, Jialin; Shi, Hui; Liu, Honglei; Sun, Yue; Su, Yutong; Meng, Jianfen; Chi, Huihui; Chen, Xia; Cheng, Xiaobing; Ye, Junna; Liu, Tingting; Wang, Zhihong; Wan, Liyan; Zhou, Zhuochao; Wang, Fan; Yang, Chengde; Hu, Qiongyi

Publisher

Frontiers; Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2010- (ISSN 1664-3224)

Published

2020

Language

EN

Field

Immunology and Microbiology (Life Sciences)