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Analysis of protein composition and protein expression in the tear fluid of patients with congenital aniridia

Overview of attention for article published in Journal of Proteomics, September 2013
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Title
Analysis of protein composition and protein expression in the tear fluid of patients with congenital aniridia
Published in
Journal of Proteomics, September 2013
DOI 10.1016/j.jprot.2013.09.003
Pubmed ID
Authors

Robert Ihnatko, Ulla Edén, Neil Lagali, Anette Dellby, Per Fagerholm

Abstract

Aniridia is a rare congenital genetic disorder caused by haploinsuffiency of the PAX6 gene, the master gene for development of the eye. The expression of tear proteins in aniridia is unknown. To screen for proteins involved in the aniridia pathophysiology, the tear fluid of patients with diagnosed congenital aniridia was examined using two-dimensional electrophoresis (2-DE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Two-dimensional map of tear proteins in aniridia has been established and 7 proteins were differentially expressed with P<0.01 between aniridia patients and control subjects. Five of them were more abundant in healthy subjects, particularly α-enolase, peroxiredoxin 6, cystatin S, gelsolin, apolipoprotein A-1 and two other proteins, zinc-α2-glycoprotein and lactoferrin were more expressed in the tears of aniridia patients. Moreover, immunoblot analysis revealed elevated levels of vascular endothelial growth factor (VEGF) in aniridia tears which is in concordance with clinical finding of pathological blood and lymph vessels in the central and peripheral cornea of aniridia patients. The proteins with different expression in patients' tears may be new candidate molecules involved in the pathophysiology of aniridia and thus may be helpful for development of novel treatment strategies for the symptomatic therapy of this vision threatening condition.

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The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 4 10%
Other 3 8%
Professor > Associate Professor 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 13 33%
Readers by discipline Count As %
Medicine and Dentistry 6 15%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 4 10%
Nursing and Health Professions 3 8%
Veterinary Science and Veterinary Medicine 2 5%
Other 4 10%
Unknown 15 38%