Literature DB >> 15952728

Diagnostic potential of tear proteomic patterns in Sjögren's syndrome.

Naohisa Tomosugi1, Kazuko Kitagawa, Nobuo Takahashi, Susumu Sugai, Isao Ishikawa.   

Abstract

Histological and functional changes of the lacrimal gland might be reflected in proteomic patterns in tear fluids. In this study, we carried out a determination of the disease biomarkers in tear fluid for Sjögren's syndrome (SS) and a performance of noninvasive diagnostic test based on the proteomic patterns. Thirty-one SS patients and 57 control subjects were enrolled to this study. Their details were 23 cases with primary SS, 8 with secondary SS, 14 with dry eyes, 22 with miscellaneous ocular diseases, and 21 of healthy volunteers. Protein profiling in tear fluids was identified by surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Multiple protein changes were reproducibly detected in the primary SS group, including 10 potential novel biomarkers. Seven of the biomarkers (2094, 2743, 14191, 14702, 16429, 17453, 17792 m/z) were down-regulated and 3 biomarkers (3483, 4972, 10860 m/z) were up-regulated in primary SS group, comparing to the protein profiles of control subjects. When cutoff value of SS down-score was set less than 0.5, this result yielded 87% sensitivity and 100% specificity. The positive predictive value for this sample set was 100%. There was a significant inverse correlation between SS down-scores and epithelial damages of the ocular surface in primary SS patients. These findings support the potential of proteomic pattern technology in tear fluids as the noninvasive diagnostic test for primary SS.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15952728     DOI: 10.1021/pr0497576

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  40 in total

1.  Insights into molecular medicine: development of new diagnostic and prognostic parameters.

Authors:  Gernot P Tilz; Marco Wiltgen; Ulrike Demel; Christian Faschinger; Hannes Schmidinger; Albin Hermetter
Journal:  Wien Med Wochenschr       Date:  2007

Review 2.  Unraveling the pathophysiology of Sjogren syndrome-associated dry eye disease.

Authors:  Cuong Q Nguyen; Ammon B Peck
Journal:  Ocul Surf       Date:  2009-01       Impact factor: 5.033

3.  Dry eye and designer ophthalmics.

Authors:  Gordon W Laurie; Leslie A Olsakovsky; Brian P Conway; Robert L McKown; Kazuko Kitagawa; Jason J Nichols
Journal:  Optom Vis Sci       Date:  2008-08       Impact factor: 1.973

4.  Human normal tear proteome.

Authors:  Ching Yan Chu; Chuen Wai Poon; Chiu Fai Pong; Chi Pui Pang; Chi Chiu Wang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2008-10-25       Impact factor: 3.117

5.  Changes in tear protein profile in keratoconus disease.

Authors:  A Acera; E Vecino; I Rodríguez-Agirretxe; K Aloria; J M Arizmendi; C Morales; J A Durán
Journal:  Eye (Lond)       Date:  2011-06-24       Impact factor: 3.775

Review 6.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

7.  iTRAQ quantitative proteomics in the analysis of tears in dry eye patients.

Authors:  Sruthi Srinivasan; Mirunalni Thangavelu; Liwen Zhang; Kari B Green; Kelly K Nichols
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-07-31       Impact factor: 4.799

8.  Autoimmune dacryoadenitis of NOD/LtJ mice and its subsequent effects on tear protein composition.

Authors:  Máire E Doyle; Lori Boggs; Robert Attia; Lauren R Cooper; Daniel R Saban; Cuong Q Nguyen; Ammon B Peck
Journal:  Am J Pathol       Date:  2007-09-06       Impact factor: 4.307

9.  Establishment of a novel diagnostic model for Sjögren's syndrome by proteomic fingerprinting.

Authors:  Yuhui Li; Xiaolin Sun; Xuewu Zhang; Yuqin Yang; Rulin Jia; Xu Liu; Ru Li; Yanying Liu; Zhanguo Li
Journal:  Clin Rheumatol       Date:  2014-09-02       Impact factor: 2.980

10.  Proteomic analysis of amniotic fluid to identify women with preterm labor and intra-amniotic inflammation/infection: the use of a novel computational method to analyze mass spectrometric profiling.

Authors:  Roberto Romero; Jimmy Espinoza; Wade T Rogers; Allan Moser; Jyh Kae Nien; Juan Pedro Kusanovic; Francesca Gotsch; Offer Erez; Ricardo Gomez; Sam Edwin; Sonia S Hassan
Journal:  J Matern Fetal Neonatal Med       Date:  2008-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.