Literature DB >> 27256639

Comparative proteomic analysis of tear fluid in Graves' disease with and without orbitopathy.

C Aass1,2, I Norheim3, E F Eriksen4,3, E C Børnick5, P M Thorsby6, M Pepaj6.   

Abstract

BACKGROUND: Graves' orbitopathy (GO) is a severe organ-specific autoimmune inflammatory ocular complication most often associated with Graves' disease (GD). Besides the cosmetic problems these patients develop, GO may also cause severe, sight-threatening complications. Additionally, GO complicates the treatment of patients with GD, making the identification of Graves patients at risk for eye disease before they develop symptoms a critical step in the clinical management and quality of life of these patients. The high concentration of proteins in tear fluid makes it an important source for studying potential protein biomarkers for GO. PATIENTS AND METHODS: The aim of this study was to quantitatively compare tear fluid from GD patients with moderate/severe GO (GO) and patients with GD without GO (controls) using untargeted quantitative proteomics based on dimethyl labelling in combination with two-dimensional liquid chromatography-mass spectrometry.
RESULTS: Among the 1212 proteins identified, 16 showed significant alterations in abundance between the two groups. Thus, in this study, we reveal a number of novel dysregulated proteins in GO which may contribute to a better understanding of the disease. In particular, upregulation of lacrimal gland proteins such as lysozyme C, lacritin, antileukoproteinase and zinc-alpha-2-glycoprotein 1 suggests involvement of the lacrimal gland in the pathogenesis of GO.
CONCLUSIONS: It remains to be elucidated whether some of these proteins can be used as markers for patients at risk for developing GO as well as useful indicators for disease activity.
© 2016 John Wiley & Sons Ltd.

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Year:  2016        PMID: 27256639     DOI: 10.1111/cen.13122

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  9 in total

1.  Proteomics of Tear in Inactive Thyroid-Associated Ophthalmopathy.

Authors:  L Jiang; R Wei; J Diao; H Ding; W Wang; R Ao
Journal:  Acta Endocrinol (Buchar)       Date:  2021 Jul-Sep       Impact factor: 0.877

Review 2.  The potential of tear proteomics for diagnosis and management of orbital inflammatory disorders including Graves' ophthalmopathy.

Authors:  Hadi Khazaei; Danesh Khazaei; Rohan Verma; John Ng; Phillip A Wilmarth; Larry L David; James T Rosenbaum
Journal:  Exp Eye Res       Date:  2021-11-03       Impact factor: 3.467

3.  Establishment of a tear protein biomarker panel differentiating between Graves' disease with or without orbitopathy.

Authors:  Cecilie Aass; Ingrid Norheim; Erik Fink Eriksen; Ellen Charlotte Børnick; Per Medbøe Thorsby; Milaim Pepaj
Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

4.  Combining micro-RNA and protein sequencing to detect robust biomarkers for Graves' disease and orbitopathy.

Authors:  Lei Zhang; Giulia Masetti; Giuseppe Colucci; Mario Salvi; Danila Covelli; Anja Eckstein; Ulrike Kaiser; Mohd Shazli Draman; Ilaria Muller; Marian Ludgate; Luigi Lucini; Filippo Biscarini
Journal:  Sci Rep       Date:  2018-05-30       Impact factor: 4.379

5.  Discovery of tear biomarkers in children with chronic non-infectious anterior uveitis: a pilot study.

Authors:  Sheila T Angeles-Han; Steven Yeh; Purnima Patel; Duc Duong; Kirsten Jenkins; Kelly A Rouster-Stevens; Mekibib Altaye; Ndate Fall; Sherry Thornton; Sampath Prahalad; Gary N Holland
Journal:  J Ophthalmic Inflamm Infect       Date:  2018-10-16

6.  Tear Proteins Calcium binding protein A4 (S100A4) and Prolactin Induced Protein (PIP) are Potential Biomarkers for Thyroid Eye Disease.

Authors:  Chiaw-Ling Chng; Lay Leng Seah; Morgan Yang; Sunny Yu Shen; Siew Kwan Koh; Yan Gao; Lu Deng; Louis Tong; Roger Wilmer Beuerman; Lei Zhou
Journal:  Sci Rep       Date:  2018-11-16       Impact factor: 4.379

7.  Tear proteomics of orbital decompression for disfiguring exophthalmos in inactive thyroid-associated ophthalmopathy.

Authors:  Lihong Jiang; Ao Rong; Ruili Wei; Jiale Diao; Hui Ding; Wei Wang
Journal:  Exp Ther Med       Date:  2020-10-23       Impact factor: 2.447

8.  Critical role of mass spectrometry proteomics in tear biomarker discovery for multifactorial ocular diseases (Review).

Authors:  Jessica Yuen Wuen Ma; Ying Hon Sze; Jing Fang Bian; Thomas Chuen Lam
Journal:  Int J Mol Med       Date:  2021-03-24       Impact factor: 4.101

9.  Differentiation between thyroid-associated orbitopathy and Graves' disease by iTRAQ-based quantitative proteomic analysis.

Authors:  Jianshu Kang; Yunqin Li; Zhijian Zhao; Hong Zhang
Journal:  FEBS Open Bio       Date:  2021-05-26       Impact factor: 2.693

  9 in total

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