PURPOSE: To explore the metabolic profile of vitreous fluid of patients with proliferative diabetic retinopathy (PDR) using 1H-NMR-based metabonomic analysis. METHODS: 1H-NMR spectra were acquired from vitreous samples obtained during vitrectomy from 22 patients with type 1 diabetes with PDR and from 22 nondiabetic patients with macular hole (control group). Data analysis included a principal component analysis and partial least squares discriminant analysis (PLS-DA). In addition, 1H-(1)H and 1H-(13)C HMQC correlation spectra were acquired for the identification of metabolites. Furthermore, the main metabolites accounting for the differences in metabolic profile were assessed by current biochemical methods. RESULTS: Lactate was the most abundant metabolite, and it was present at higher levels in samples from PDR patients than from nondiabetic patients (P=0.02). Glucose was significantly higher in samples from PDR patients than nondiabetic patients (P=0.03). After removing the lactate peak at 1.35 ppm and with the use of PLS-DA, a model was obtained that was able to correctly classify 19 of 22 patients with PDR and 18 of 22 controls, resulting in a sensitivity of 86% and a specificity of 81%. The main metabolites involved in this specific pattern recognition were galactitol and ascorbic acid (AA); levels of both were significantly lower in PDR patients. CONCLUSIONS: 1H-NMR-based metabonomic analysis of vitreous fluid permits the obtainment of a metabolic signature of PDR. Apart from the higher abundance of lactate and glucose, significant deficits of galactitol and AA are the main metabolic fingerprints of vitreous fluid from PDR patients.
PURPOSE: To explore the metabolic profile of vitreous fluid of patients with proliferative diabetic retinopathy (PDR) using 1H-NMR-based metabonomic analysis. METHODS:1H-NMR spectra were acquired from vitreous samples obtained during vitrectomy from 22 patients with type 1 diabetes with PDR and from 22 nondiabeticpatients with macular hole (control group). Data analysis included a principal component analysis and partial least squares discriminant analysis (PLS-DA). In addition, 1H-(1)H and 1H-(13)C HMQC correlation spectra were acquired for the identification of metabolites. Furthermore, the main metabolites accounting for the differences in metabolic profile were assessed by current biochemical methods. RESULTS:Lactate was the most abundant metabolite, and it was present at higher levels in samples from PDR patients than from nondiabeticpatients (P=0.02). Glucose was significantly higher in samples from PDR patients than nondiabeticpatients (P=0.03). After removing the lactate peak at 1.35 ppm and with the use of PLS-DA, a model was obtained that was able to correctly classify 19 of 22 patients with PDR and 18 of 22 controls, resulting in a sensitivity of 86% and a specificity of 81%. The main metabolites involved in this specific pattern recognition were galactitol and ascorbic acid (AA); levels of both were significantly lower in PDR patients. CONCLUSIONS:1H-NMR-based metabonomic analysis of vitreous fluid permits the obtainment of a metabolic signature of PDR. Apart from the higher abundance of lactate and glucose, significant deficits of galactitol and AA are the main metabolic fingerprints of vitreous fluid from PDR patients.
Authors: Christin Christin; Huub C J Hoefsloot; Age K Smilde; B Hoekman; Frank Suits; Rainer Bischoff; Peter Horvatovich Journal: Mol Cell Proteomics Date: 2012-10-31 Impact factor: 5.911
Authors: Nathan G Lambert; Hanan ElShelmani; Malkit K Singh; Fiona C Mansergh; Michael A Wride; Maximilian Padilla; David Keegan; Ruth E Hogg; Balamurali K Ambati Journal: Prog Retin Eye Res Date: 2016-05-06 Impact factor: 21.198
Authors: Alicia J Jenkins; Mugdha V Joglekar; Anandwardhan A Hardikar; Anthony C Keech; David N O'Neal; Andrzej S Januszewski Journal: Rev Diabet Stud Date: 2015-08-10