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Titolo:
High performance liquid chromatography analysis of tear protein patterns in diabetic and non-diabetic dry-eye patients
Autore:
Grus, FH; Augustin, AJ;
Indirizzi:
Univ Mainz, Augenklin, Dept Ophthalmol, D-55131 Mainz, Germany Univ MainzMainz Germany D-55131 Dept Ophthalmol, D-55131 Mainz, Germany
Titolo Testata:
EUROPEAN JOURNAL OF OPHTHALMOLOGY
fascicolo: 1, volume: 11, anno: 2001,
pagine: 19 - 24
SICI:
1120-6721(200101/03)11:1<19:HPLCAO>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
LENS-INDUCED UVEITIS; AUTOANTIBODY-REPERTOIRES; LACRIMAL GLAND; SUPERFAMILY; PREALBUMIN; MEMBER;
Keywords:
dry-eye; tear proteins; tears; HPLC; diabetes mellitus;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Grus, FH Univ Mainz, Augenklin, Dept Ophthalmol, Langenbeckstr 1, D-55131 Mainz, Germany Univ Mainz Langenbeckstr 1 Mainz Germany D-55131 Mainz, Germany
Citazione:
F.H. Grus e A.J. Augustin, "High performance liquid chromatography analysis of tear protein patterns in diabetic and non-diabetic dry-eye patients", EUR J OPTHA, 11(1), 2001, pp. 19-24

Abstract

PURPOSE. To analyze and compare the high performance liquid chromatography(HPLC) runs of tear proteins from diabetic (DIDRY) and non-diabetic (DRY) dry-eye patients, and healthy subjects (CTRL). The patterns were analyzed using multivariate statistical methods. METHODS. Tears (total 56 eyes: CTRL. n=16, DIDRY: n=21, and DRY: n=19) were analyzed by HPLC, using a size-exclusion column with an eluent of 0.5 M sodium phosphate buffer. The patients were primarily grouped according to the results of the basic secretory test (BST) in combination with subjective symptoms such as burning, foreign body sensations, tearing, and "dryness" of the eyes. Patients with BST values less than or equal to 10 mm/5 min plustwo subjective symptoms were grouped as dry-eye patients. Before statistical analysis, each HPLC run was quantitatively analyzed using ScanPacK software (ScanPacK, Gottingen, Germany), and a data set was created from each HPLC run. The data were then analyzed by multivariate analysis of discriminance. RESULTS. The HPLC patterns of CTRL, DIDRY and DRY were significantly different (Wilks' lambda: 0.0209; p<0.01). The area of the sIgA peak was significantly smaller (p<0.05) in dry-eye tears than controls. There was a good correlation between the extent of separation in the multivariate analysis andthe BST value (r = -0.71). Classification of all samples resulted in 98% correct assignments. CONCLUSIONS. The analysis of HPLC patterns and subsequent statistical evaluation are useful for the detection of dry eyes. The HPLC method and the statistical routines described allow a shorter analysis time than electrophoresis. HPLC analysis in combination with statistical analysis can be used asa diagnostic tool for the detection of dry eyes, and also improves the quality of analysis of disease-associated tear proteins in clinical research.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 13/07/20 alle ore 07:15:19