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Autoantibody against aldehyde dehydrogenase 2 could be a biomarker to monitor progression of Graves' orbitopathy.

AbstractPURPOSE:
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.
METHODS:
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).
RESULTS:
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).
CONCLUSIONS:
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.
AuthorsKai-Chun Cheng, Yu-Jen Wu, Kai-Hung Cheng, Kai-Yuan Cheng, Kuo-Jen Chen, Wen-Chuan Wu, Po-Yen Lee, Cheng-Hsien Chang
JournalGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (Graefes Arch Clin Exp Ophthalmol) Vol. 256 Issue 6 Pg. 1195-1201 (Jun 2018) ISSN: 1435-702X [Electronic] Germany
PMID29397435 (Publication Type: Journal Article)
Chemical References
  • Autoantibodies
  • Biomarkers
  • ALDH2 protein, human
  • Aldehyde Dehydrogenase, Mitochondrial
Topics
  • Adult
  • Aged
  • Aldehyde Dehydrogenase, Mitochondrial (blood, immunology)
  • Autoantibodies (blood)
  • Biomarkers (blood)
  • Disease Progression
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Graves Ophthalmopathy (blood, immunology)
  • Humans
  • Male
  • Middle Aged
  • Proteomics (methods)
  • Young Adult

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