Plasma metabolomic study in Chinese patients with wet age-related macular degeneration

Wong WL, Su X, Li X, Cheung CM, Klein R, Cheng CY, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health. 2014;2(2):e106–16.

Bird AC, Bressler NM, Bressler SB, Chisholm IH, Coscas G, Davis MD, et al. An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group. Surv Ophthalmol. 2016;39(5):367–74.

Klein R, Klein BE, Linton KL. Prevalence of age-related maculopathy. The Beaver Dam Eye Study. Ophthalmology. 1992;99(6):933–43.

Zhou HD, Zhang X, Xu X, Wang FH, Zhang SJ. The investigation of the prevalence of age-related macular degeneration in Caojiadu street of Jingan district in Shanghai. Chin J Ophthalmol. 2005;41(1):19–23.

Van Lancker L, Petrarca R, Moutsouris K, Masaoutis P, Kampougeris G. Clinical experience of switching anti-VEGF therapy from ranibizumab to aflibercept in age-related choroidal neovascularization. Eur J Ophthalmol. 2017;27(3):342–5.

Tong Y, Zhao KK, Feng D, Biswal M, Zhao PQ, Wang ZY, et al. Comparison of the efficacy of anti-VEGF monotherapy versus PDT and intravitreal anti-VEGF combination treatment in AMD: a Meta-analysis and systematic review. Int J Ophthalmol. 2016;9(7):1028–37.

Lawrenson JG, Evans JR. Advice about diet and smoking for people with or at risk of age-related macular degeneration: a cross-sectional survey of eye care professionals in the UK. BMC Public Health. 2013;13:564.

Kim IK, Ji F, Morrison MA, Adams S, Zhang Q, Lane AM, et al. Comprehensive analysis of CRP, CFH Y402H and environmental risk factors on risk of neovascular age-related macular degeneration. Mol Vis. 2008;14:1487–95.

Rowan S, Jiang S, Korem T, Szymanski J, Chang ML, Szelog J, et al. Involvement of a gut-retina axis in protection against dietary glycemia-induced age-related macular degeneration. Proc Natl Acad Sci U S A. 2017;114(22):E4472–81.

de Raad M, Fischer CR, Northen TR. High-throughput platforms for metabolomics. Curr Opin Chem Biol. 2016;30:7–13.

Ramautar R, Berger R, van der Greef J, Hankemeier T. Human metabolomics: strategies to understand biology. Curr Opin Chem Biol. 2013;17(5):841–6.

Brennan L. NMR-based metabolomics: from sample preparation to applications in nutrition research. Prog Nucl Magn Reson Spectrosc. 2014;83:42–9.

Osborn MP, Park Y, Parks MB, Burgess LG, Uppal K, Lee K, et al. Metabolome-wide association study of neovascular age-related macular degeneration. PLoS One. 2013;8(8):e72737.

Lains I, Duarte D, Barros AS, Martins AS, Gil J, Miller JB, et al. Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy. PLoS One. 2017;12(5):e0177749.

Wang J, Westenskow PD, Fang M, Friedlander M, Siuzdak G. Quantitative metabolomics of photoreceptor degeneration and the effects of stem cell-derived retinal pigment epithelium transplantation. Philos Transact A Math Phys Eng Sci. 2016;374(2079):pii:20150376. doi: 10.1098/rsta.2015.0376 .

Aoki A, Inoue M, Nguyen E, Obata R, Kadonosono K, Shinkai S, et al. Dietary n-3 Fatty Acid, alpha-Tocopherol, Zinc, vitamin D, vitamin C, and beta-carotene are Associated with Age-Related Macular Degeneration in Japan. Sci Rep. 2016;6:20723.

Ge J, Jl Z, Li XX, Wang JZ, Guo XR, Sun XH, et al. Ophthalmology. Beijing: People’s Medical Publishing House; 2013. p. 314–5.

Benton HP, Ivanisevic J, Mahieu NG, Kurczy ME, Johnson CH, Franco L, et al. Autonomous metabolomics for rapid metabolite identification in global profiling. Anal Chem. 2015;87(2):884–91.

Smith CA, Want EJ, O’Maille G, Abagyan R, Siuzdak G. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Anal Chem. 2006;78(3):779–87.

Wang Y, Wang M, Zhang X, Nie J, Zhang M, Liu X, et al. The Association between LIPC rs493258 Polymorphism and the Susceptibility to Age-Related Macular Degeneration. Int J Environ Res Public Health. 2016;13(10):1022.

Woo HJ, Yu C, Kumar K, Gold B, Reifman J. Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism. BMC Genomics. 2016;17:695.

Shen J, He J, Wang F. Association of lipids with age-related macular degeneration. Discov Med. 2016;22(120):129–45.

Orban T, Johnson WM, Dong Z, Maeda T, Maeda A, Sakai T, et al. Serum levels of lipid metabolites in age-related macular degeneration. FASEB J. 2015;29(11):4579–88.

Kersten E, Paun CC, Schellevis RL, Hoyng CB, Delcourt C, Lengyel I, et al. Systemic and ocular fluid compounds as potential biomarkers in age-related macular degeneration. Surv Ophthalmol. 2017;1-31. doi: 10.1016/j.survophthal.2017.05.003 . [Epub ahead of print]

Asai T, Matsukawa T, Kajiyama S. Metabolomic analysis of primary metabolites in citrus leaf during defense responses. J Biosci Bioeng. 2017;123(3):376–81.

Zhang Q, Zhou L, Chen H, Wang CZ, Xia Z, Yuan CS. Solid-phase microextraction technology for in vitro and in vivo metabolite analysis. Trends Anal Chem. 2016;80:57–65.

Kanan Y, Siefert JC, Kinter M, Al-Ubaidi MR. Complement factor H, vitronectin, and opticin are tyrosine-sulfated proteins of the retinal pigment epithelium. PLoS One. 2014;9(8):e105409.

Kanan Y, Al-Ubaidi MR. Role of tyrosine-sulfated proteins in retinal structure and function. Exp Eye Res. 2015;133:126–31.

Fischer T. Pharmacological therapy of age-related macular degeneration based on etiopathogenesis. Orv Hetil. 2015;156(46):1847–58.

Barikian A, Salti H, Safar A, Mahfoud ZR, Bashshur ZF. Intravitreal dexamethasone inplant as adjuvant treatment for bevacizumab -and ranibizumab-resistant neovascular age-related macular degeneration: a prospective pilot study. Retina. 2017;37(7):1337–44.

Loboda A, Damulewicz M, Pyza E, Jozkowicz A, Dulak J. Role of Nrf2 / HO-1 system in development, oxidative stress response and diseases: an evolutionarily conserved mechanism. Cell Mol Life Sci. 2016;73(17):3221–47.

Newman AM, Gallo NB, Hancox LS, Miller NJ, Radeke CM, Maloney MA, et al. Systems-level analysis of age-related macular degeneration reveals global biomarkers and phenotype-specific functional networks. Genome Med. 2012;4(2):16.

Cai Y, Weng K, Guo Y, Peng J, Zhu ZJ. An integrated targeted metabolomic platform for high-throughput metabolite profiling and automated data processing. Metabolomics. 2015;11(6):1575–86.