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Predicting the Early Risk of Ophthalmopathy in Graves' Disease Patients Using TCR Repertoire

25 Pages Posted: 25 Nov 2019

See all articles by Yue Wang

Yue Wang

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Yufeng Liu

Xi'an Jiaotong University (XJTU)

Xiaofei Yang

Xi'an Jiaotong University (XJTU) - Department of Computer Science and Technology

Hui Guo

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Jiadong Lin

Xi'an Jiaotong University (XJTU)

Jinkui Yang

Capital Medical University

Mingqian He

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Jingya Wang

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Xiaomei Liu

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Tingting Shi

Capital Medical University

Liping Wu

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

Chengsheng Zhang

Xi'an Jiaotong University (XJTU)

Kai Ye

Xi'an Jiaotong University (XJTU) - MOE Key Lab for Intelligent Networks & Networks Security

Bingyin Shi

Xi'an Jiaotong University (XJTU) - Department of Endocrinology

More...

Abstract

Background: Graves' ophthalmopathy (GO), the common extrathyroidal manifestation in Graves' hyperthyroidism (GH), often has an unsatisfactory therapeutic effect due to late diagnosis.

Methods: Firstly, we proposed a novel score termed TCR Clonal expansion and chaos Score (TCS) to characterize VJ. TCS score equals to the ratio between clonal expansion of TCR V-J combination and chaos of peptide similarity. Then, we sequenced the RNA transcripts from the complementarity determining region 3 (CDR3) of TCR Vβ from 100 peripheral blood samples, including 43 GO and 57 stable GH. Random forest method was applied to select candidate features with the best performance to classify GO and GH. Lastly, this model was applied in an independent validation dataset consisting of 18 stable GH samples and 17 GH samples who progressed to GO in the follow up visit.

Findings: The leave-one-out cross validation showed this model with a sensitivity of 87.88% and a specificity of 81.08% to differentiate GO from stable GH. And it achieved a sensitivity and specificity of 70.59% and 72.22% for prediction GO progression in GH. Specifically, 12 of the 17 GH patients who were predicted as GO developed symptoms of eyelid swelling, chemosis or proptosis in a median of 6.5 months (4-9.75 months, IQR). In addition, GO-free survival analysis demonstrated that "predicted GO" patients (n = 17) were significant difference with "predicted GH" patients (n = 18) in GO progression (P = 0.015, log-rank test).

Interpretation: Our finding provides a proof of concept for diagnosis and prognosis using TCR repertoire and may help develop novel prophylactic strategy for GO and other autoimmune diseases.

Funding Statement: This work was supported by the National Key R&D Program of China (grant NO. 2018YFC1311500 (B.S.), 2017YFC0907500 (K.Y.) and 2018YFC0910400 (K.Y.)), National Science Foundation of China (NSFC) (grant NO. 81670725 (B.S.), 81500690 (Y.W.), 31671372 (K.Y.), 61702406 (X.Y.)), the Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University, China (grant NO. XJTU1AF-CRF-2017-001 (B.S.)), Natural Science Foundation of Shaanxi Province (2018JM70990 (Y.W.)), Key Research and Development Project of Shaanxi Province (grant NO. 2017ZDXM-SF-060 (B.S.)), the Fundamental Research Funds for the Central Universities (1191329875 (Y.W.)), China Postdoctoral Science Foundation (224646(Y.W.)).

Declaration of Interests: The authors have declared that no conflict of interest exists.

Ethics Approval Statement: This study was approved by the Ethic Committee of the First Affiliated Hospital of Xi’an Jiaotong University (KYLLSL-2015-004-01). Informed consent was sought from all patients before screening and study entry.

Keywords: Graves' ophthalmopathy, Graves' disease, TCR repertoire, early risk

Suggested Citation

Wang, Yue and Liu, Yufeng and Yang, Xiaofei and Guo, Hui and Lin, Jiadong and Yang, Jinkui and He, Mingqian and Wang, Jingya and Liu, Xiaomei and Shi, Tingting and Wu, Liping and Zhang, Chengsheng and Ye, Kai and Shi, Bingyin, Predicting the Early Risk of Ophthalmopathy in Graves' Disease Patients Using TCR Repertoire (November 15, 2019). Available at SSRN: https://ssrn.com/abstract=3487791 or http://dx.doi.org/10.2139/ssrn.3487791

Yue Wang

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Yufeng Liu

Xi'an Jiaotong University (XJTU) ( email )

26 Xianning W Rd.
Xi'an Jiao Tong University
Xi'an, Shaanxi 710049
China

Xiaofei Yang

Xi'an Jiaotong University (XJTU) - Department of Computer Science and Technology

China

Hui Guo

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Jiadong Lin

Xi'an Jiaotong University (XJTU) ( email )

26 Xianning W Rd.
Xi'an Jiao Tong University
Xi'an, Shaanxi 710049
China

Jinkui Yang

Capital Medical University ( email )

China

Mingqian He

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Jingya Wang

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Xiaomei Liu

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Tingting Shi

Capital Medical University ( email )

China

Liping Wu

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

Chengsheng Zhang

Xi'an Jiaotong University (XJTU) ( email )

26 Xianning W Rd.
Xi'an Jiao Tong University
Xi'an, Shaanxi 710049
China

Kai Ye

Xi'an Jiaotong University (XJTU) - MOE Key Lab for Intelligent Networks & Networks Security ( email )

Xi’an
China

Bingyin Shi (Contact Author)

Xi'an Jiaotong University (XJTU) - Department of Endocrinology ( email )

Xi'an, Shannxi 710061
China

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