| Title |
Autoantibody against aldehyde dehydrogenase 2 could be a biomarker to monitor progression of Graves’ orbitopathy
|
|---|---|
| Published in |
Graefe's Archive for Clinical and Experimental Ophthalmology, February 2018
|
| DOI | 10.1007/s00417-017-3894-4 |
| Pubmed ID | |
| Authors |
Kai-Chun Cheng, Yu-Jen Wu, Kai-Hung Cheng, Kai-Yuan Cheng, Kuo-Jen Chen, Wen-Chuan Wu, Po-Yen Lee, Cheng-Hsien Chang |
| Abstract |
This study surveyed the novel autoantigens expressed in the orbital fat tissue of patients with Graves' orbitopathy (GO) and explored the possibility of the autoantibodies against novel autoantigens as biomarkers for GO. We used immuno-proteomic methods to survey novel autoantigens expressed in the orbit fat tissue of GO patients and confirmed by enzyme-linked immunosorbent assay (ELISA). One protein spot (aldehyde dehydrogenase 2 (ALDH2)) revealed high reactivity with the GO serum than did the healthy control serum and was further verified by ELISA. We found that the plasma anti-ALDH2 antibody level was increased in GO patients compared to healthy control donors. In addition, anti-ALDH2 antibody level was correlated with GO activity classified by clinical activity score(r = 0.588, p < 0.001, using Pearson's correlation). These increased levels of anti-ALDH2 antibody in GO serum suggested that ALDH2 could attribute target autoantigen in GO, and anti-ALDH2 autoantibody might serve as a biomarker for GO and help to predict disease activity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 18% |
| Other | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 36% |
| Nursing and Health Professions | 3 | 27% |
| Business, Management and Accounting | 1 | 9% |
| Unknown | 3 | 27% |