Literature DB >> 19604162

Metabonomics--a new approach in ophthalmology.

Anna Midelfart1.   

Abstract

Metabonomics is a new technology providing broad information about dynamic metabolic responses in living systems to pathophysiological stimuli or genetic modification. Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful methods in metabonomics; it is utilized to establish the metabolic profiles of biofluids, and is practically the only method capable of examining intact tissue samples. Experience with the application of metabonomics in eye research is still limited, yet this method provides the possibility of exploring metabolic processes in the eye in vivo. This article presents a brief background to the usefulness of metabonomics, and the possible applications of an NMR-based technique in eye research and clinical practice.

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Year:  2009        PMID: 19604162     DOI: 10.1111/j.1755-3768.2009.01516.x

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  10 in total

Review 1.  Introduction to metabolomics and its applications in ophthalmology.

Authors:  S Z Tan; P Begley; G Mullard; K A Hollywood; P N Bishop
Journal:  Eye (Lond)       Date:  2016-03-18       Impact factor: 3.775

2.  Human Plasma Metabolomics Study across All Stages of Age-Related Macular Degeneration Identifies Potential Lipid Biomarkers.

Authors:  Inês Laíns; Rachel S Kelly; John B Miller; Rufino Silva; Demetrios G Vavvas; Ivana K Kim; Joaquim N Murta; Jessica Lasky-Su; Joan W Miller; Deeba Husain
Journal:  Ophthalmology       Date:  2017-09-12       Impact factor: 12.079

3.  Metabolomic analysis of human disease and its application to the eye.

Authors:  Stephen P Young; Graham R Wallace
Journal:  J Ocul Biol Dis Infor       Date:  2009-11-13

4.  Untargeted metabolomics for uncovering plasma biological markers of wet age-related macular degeneration.

Authors:  Yanhui Deng; Ping Shuai; Haixin Wang; Shanshan Zhang; Jie Li; Mingyan Du; Peirong Huang; Chao Qu; Lulin Huang
Journal:  Aging (Albany NY)       Date:  2021-05-04       Impact factor: 5.682

5.  A metabolomic approach to dry eye disorders. The role of oral supplements with antioxidants and omega 3 fatty acids.

Authors:  Carmen Galbis-Estrada; Maria Dolores Pinazo-Durán; Sebastián Martínez-Castillo; José M Morales; Daniel Monleón; Vicente Zanon-Moreno
Journal:  Mol Vis       Date:  2015-05-11       Impact factor: 2.367

6.  NMR spectroscopy of human eye tissues: a new insight into ocular biochemistry.

Authors:  Tomasz Kryczka; Edward Wylęgała; Dariusz Dobrowolski; Anna Midelfart
Journal:  ScientificWorldJournal       Date:  2014-11-26

7.  Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy.

Authors:  Inês Laíns; Daniela Duarte; António S Barros; Ana Sofia Martins; João Gil; John B Miller; Marco Marques; Tânia Mesquita; Ivana K Kim; Maria da Luz Cachulo; Demetrios Vavvas; Isabel M Carreira; Joaquim N Murta; Rufino Silva; Joan W Miller; Deeba Husain; Ana M Gil
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

8.  Lens metabolomic profiling as a tool to understand cataractogenesis in Atlantic salmon and rainbow trout reared at optimum and high temperature.

Authors:  Sofie Charlotte Remø; Ernst Morten Hevrøy; Olav Breck; Pål Asgeir Olsvik; Rune Waagbø
Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

9.  Design and baseline data of a population-based metabonomics study of eye diseases in eastern China: the Yueqing Ocular Diseases Investigation.

Authors:  Yuxuan Deng; Yuanbo Liang; Sigeng Lin; Liang Wen; Jin Li; Yue Zhou; Meixiao Shen; Jingwei Zheng; Kemi Feng; Yanting Sun; Kwapong Willaim Robert; Jia Qu; Fan Lu
Journal:  Eye Vis (Lond)       Date:  2020-01-19

10.  Differential effects of dry eye disorders on metabolomic profile by 1H nuclear magnetic resonance spectroscopy.

Authors:  Carmen Galbis-Estrada; Sebastián Martinez-Castillo; José M Morales; Bárbara Vivar-Llopis; Daniel Monleón; Manuel Díaz-Llopis; María Dolores Pinazo-Durán
Journal:  Biomed Res Int       Date:  2014-05-21       Impact factor: 3.411

  10 in total

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