hrvatski jezikClear Cookie - decide language by browser settings

Quantification of intraocular interferon-gamma and IgG in cataract and diabetes

Pavan, Josip; Štambuk, Nikola; Konjevoda, Paško; Pavan, Gordana; Pokrić, Biserka (2000) Quantification of intraocular interferon-gamma and IgG in cataract and diabetes. Croatica Chemica Acta, 73 (4). pp. 1099-1110. ISSN 0011-1643

[img] PDF - Published Version
Download (95kB)

Abstract

We applied the machine learning procedure to the analysis of serum and aqueous humor albumin, IgG and interferon-gamma patterns. The data were analyzed with respect to the cataract, type of diabetes, retinopathy and blood-aqueous humor barrier damage. Intraocular production of IgG was detected in diabetic patients, since the IgG index values were increased in some diabetic groups (especially those with type I diabetes and retinopathy). Comparison of numerical methods and clonal IgG detection suggested that intraocular IgG patterns in diabetes are predominately polyclonal. Interferon-gamma (IFN-gamma) was pathological in serum and aqueous humor of patients with type I diabetes and to a lesser extent in the type II diabetes group. Machine learning system based on C5.0 classifier extracted 98.5% accurate rules for discrimination of the senile cataract group, diabetes group and diabetic retinopathy group. Our results confirm that the combination of immunochemical and numerical methods with a proper statistical analysis may contribute to the diagnosis of the pathologic ocular immune response and the related retinal or vascular disorders in diabetes. Significant savings in laboratory material and efforts may be obtained by means of the machine learning based optimization of the tests.

Item Type: Article
Uncontrolled Keywords: diabetes; retinopathy; cataract; machine learning; C5.0; interferon-gamma; aqueous humor; serum; IgG; prognosis; barrier; aqueous-humor; cerebrospinal-fluid; oligoclonal igg; interleukin-4
Subjects: NATURAL SCIENCES > Chemistry
Divisions: Division of Molecular Medicine
NMR Center
Projects:
Project titleProject leaderProject codeProject type
Cijepljenje virusnim podjedinicamaBiserka Pokrić00981108MZOS
Depositing User: Nikola Štambuk
Date Deposited: 21 Nov 2013 10:47
URI: http://fulir.irb.hr/id/eprint/1021

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

Contrast
Increase Font
Decrease Font
Dyslexic Font
Accessibility