Abstract
Purpose of Review
Metabolomics is the study of dysregulated metabolites in biological materials. We reviewed the use of the technique to elucidate the genetic and environmental factors that contribute to the development of diabetic retinopathy.
Recent Findings
With regard to metabolomic studies of diabetic retinopathy, the field remains in its infancy with few studies published to date and little replication of results. Vitreous and serum samples are the main tissues examined, and dysregulation in pathways such as the pentose phosphate pathway, arginine to proline pathway, polyol pathway, and ascorbic acidic pathways have been reported.
Summary
Few studies have examined the metabolomic underpinnings of diabetic retinopathy. Further research is required to replicate findings to date and determine longitudinal associations with disease.
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References
Papers of particular interest, published recently, have been highlighted as: •Of importance
Diabetes: facts and figures. 2017. (www.idf.org).
Kuo JZ, Wong TY, Rotter JI. Challenges in elucidating the genetics of diabetic retinopathy. JAMA Ophthalmol. 2014;132:96–107.
Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, et al. HMDB: the human metabolome database. Nucleic Acids Res. 2007;35:D521–6.
• Filla LA, Edwards JL. Metabolomics in diabetic complications. Mol BioSyst. 2016;12:1090–105. This review provides a comprehensive survey of new results in metabolomic experiments and diabetic complications
• Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, et al. Metabolite profiles and the risk of developing diabetes. Nat Med. 2011;17:448–53. This study provides a good description of metabolomic techniques and relationship to diabetes
Wang TJ, Ngo D, Psychogios N, Dejam A, Larson MG, Vasan RS, et al. 2-Aminoadipic acid is a biomarker for diabetes risk. J Clin Invest. 2013;123:4309–17.
Lotta LA, Scott RA, Sharp SJ, Burgess S, Luan J, Tillin T, et al. Genetic predisposition to an impaired metabolism of the branched-chain amino acids and risk of type 2 diabetes: a mendelian randomisation analysis. PLoS Med. 2016;13:e1002179.
Pedersen HK, Gudmundsdottir V, Nielsen HB, Hyotylainen T, Nielsen T, Jensen BA, et al. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature. 2016;535:376–81.
Rhee EP, Cheng S, Larson MG, Walford GA, Lewis GD, McCabe E, et al. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J Clin Invest. 2011;121:1402–11.
Newgard CB. Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab. 2012;15:606–14.
Krebs M, Krssak M, Bernroider E, Anderwald C, Brehm A, Meyerspeer M, et al. Mechanism of amino acid-induced skeletal muscle insulin resistance in humans. Diabetes. 2002;51:599–605.
Anderson SG, Dunn WB, Banerjee M, Brown M, Broadhurst DI, Goodacre R, et al. Evidence that multiple defects in lipid regulation occur before hyperglycemia during the prodrome of type-2 diabetes. PLoS One. 2014;9:e103217.
• Chen L, Cheng CY, Choi H, Ikram MK, Sabanayagam C, Tan GS, et al. Plasma Metabonomic profiling of diabetic retinopathy. Diabetes. 2016;65:1099–108. One of the first studies using robust metabolomics techniques to study diabetic retinopathy
Li X, Luo X, Lu X, Duan J, Xu G. Metabolomics study of diabetic retinopathy using gas chromatography-mass spectrometry: a comparison of stages and subtypes diagnosed by Western and Chinese medicine. Mol BioSyst. 2011;7:2228–37.
Paris LP, Johnson CH, Aguilar E, Usui Y, Cho K, Hoang LT, et al. Global metabolomics reveals metabolic dysregulation in ischemic retinopathy. Metabolomics. 2016;12:15.
Barba I, Garcia-Ramirez M, Hernandez C, Alonso MA, Masmiquel L, Garcia-Dorado D, et al. Metabolic fingerprints of proliferative diabetic retinopathy: an 1H-NMR-based metabonomic approach using vitreous humor. Invest Ophthalmol Vis Sci. 2010;51:4416–21.
Young SP, Nessim M, Falciani F, Trevino V, Banerjee SP, Scott RA, et al. Metabolomic analysis of human vitreous humor differentiates ocular inflammatory disease. Mol Vis. 2009;15:1210–7.
Ferrucci L, Cherubini A, Bandinelli S, Bartali B, Corsi A, Lauretani F, et al. Relationship of plasma polyunsaturated fatty acids to circulating inflammatory markers. J Clin Endocrinol Metab. 2006;91:439–46.
Bringmann A, Pannicke T, Grosche J, Francke M, Wiedemann P, Skatchkov SN, et al. Muller cells in the healthy and diseased retina. Prog Retin Eye Res. 2006;25:397–424.
Metea MR, Newman EA. Glial cells dilate and constrict blood vessels: a mechanism of neurovascular coupling. J Neurosci. 2006;26:2862–70.
Narayanan SP, Xu Z, Putluri N, Sreekumar A, Lemtalsi T, Caldwell RW, et al. Arginase 2 deficiency reduces hyperoxia-mediated retinal neurodegeneration through the regulation of polyamine metabolism. Cell Death Dis. 2014;5:e1075.
Narayanan SP, Rojas M, Suwanpradid J, Toque HA, Caldwell RW, Caldwell RB. Arginase in retinopathy. Prog Retin Eye Res. 2013;36:260–80.
Lorenzi M. The polyol pathway as a mechanism for diabetic retinopathy: attractive, elusive, and resilient. Exp Diabetes Res. 2007;2007:61038.
Gabbay KH. The sorbitol pathway and the complications of diabetes. N Engl J Med. 1973;288:831–6.
Kador PF. The role of aldose reductase in the development of diabetic complications. Med Res Rev. 1988;8:325–52.
Tokuda K, Zorumski CF, Izumi Y. Effects of ascorbic acid on UV light-mediated photoreceptor damage in isolated rat retina. Exp Eye Res. 2007;84:537–43.
Hosoya K, Minamizono A, Katayama K, Terasaki T, Tomi M. Vitamin C transport in oxidized form across the rat blood-retinal barrier. Invest Ophthalmol Vis Sci. 2004;45:1232–9.
Minamizono A, Tomi M, Hosoya K. Inhibition of dehydroascorbic acid transport across the rat blood-retinal and -brain barriers in experimental diabetes. Biol Pharm Bull. 2006;29:2148–50.
Komeima K, Rogers BS, Lu L, Campochiaro PA. Antioxidants reduce cone cell death in a model of retinitis pigmentosa. Proc Natl Acad Sci U S A. 2006;103:11300–5.
Ashino H, Shimamura M, Nakajima H, Dombou M, Kawanaka S, Oikawa T, et al. Novel function of ascorbic acid as an angiostatic factor. Angiogenesis. 2003;6:259–69.
Sinclair AJ, Girling AJ, Gray L, Le GC, Lunec J, Barnett AH. Disturbed handling of ascorbic acid in diabetic patients with and without microangiopathy during high dose ascorbate supplementation. Diabetologia. 1991;34:171–5.
Acknowledgements
NHMRC Early Career Fellowship Grant APP1073530 to Gerald Liew
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Gerald Liew, Zhou Lei, Nichole Joachim, I-Van Ho, Tien Y. Wong, Paul Mitchell, Bamini Gopinath, and Ben Crossett declare that they have no conflict of interest.
Gavin Tan reports being on the Advisory board for Novartis, travel support from Bayer, research support from Santen, speaker for Abbott Medical, and speaker and travel support from Allergan.
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This article does not contain any studies with human or animal subjects performed by any of the authors.
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This article is part of the Topical Collection on Microvascular Complications—Retinopathy
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Liew, G., Lei, Z., Tan, G. et al. Metabolomics of Diabetic Retinopathy. Curr Diab Rep 17, 102 (2017). https://doi.org/10.1007/s11892-017-0939-3
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DOI: https://doi.org/10.1007/s11892-017-0939-3