Literature DB >> 27233448

Characterisation of the metabolome of ocular tissues and post-mortem changes in the rat retina.

Shi Z Tan1, Graham Mullard2, Katherine A Hollywood3, Warwick B Dunn4, Paul N Bishop5.   

Abstract

Time-dependent post-mortem biochemical changes have been demonstrated in donor cornea and vitreous, but there have been no published studies to date that objectively measure post-mortem changes in the retinal metabolome over time. The aim of the study was firstly, to investigate post-mortem, time-dependent changes in the rat retinal metabolome and secondly, to compare the metabolite composition of healthy rat ocular tissues. To study post-mortem changes in the rat retinal metabolome, globes were enucleated and stored at 4 °C and sampled at 0, 2, 4, 8, 24 and 48 h post-mortem. To study the metabolite composition of rat ocular tissues, eyes were dissected immediately after culling to isolate the cornea, lens, vitreous and retina, prior to storing at -80 °C. Tissue extracts were subjected to Gas Chromatograph Mass Spectrometry (GC-MS) and Ultra High Performance Liquid Chromatography Mass Spectrometry (UHPLC-MS). Generally, the metabolic composition of the retina was stable for 8 h post-mortem when eyes were stored at 4 °C, but showed increasing changes thereafter. However, some more rapid changes were observed such as increases in TCA cycle metabolites after 2 h post-mortem, whereas some metabolites such as fatty acids only showed decreases in concentration from 24 h. A total of 42 metabolites were identified across the ocular tissues by GC-MS (MSI level 1) and 2782 metabolites were annotated by UHPLC-MS (MSI level 2) according to MSI reporting standards. Many of the metabolites detected were common to all of the tissues but some metabolites showed partitioning between different ocular structures with 655, 297, 93 and 13 metabolites being uniquely detected in the retina, lens, cornea and vitreous respectively. Only a small percentage (1.6%) of metabolites found in the vitreous were only detected in the retina and not other tissues. In conclusion, mass spectrometry-based techniques have been used for the first time to compare the metabolic composition of different ocular tissues. The metabolite composition of the retina stored at 4 °C post-mortem is mostly stable for at least 8 h.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Metabolome; Metabolomics; Ocular tissues; Post-mortem

Mesh:

Year:  2016        PMID: 27233448     DOI: 10.1016/j.exer.2016.05.019

Source DB:  PubMed          Journal:  Exp Eye Res        ISSN: 0014-4835            Impact factor:   3.467


  7 in total

1.  A 1H NMR metabolomic approach for the estimation of the time since death using aqueous humour: an animal model.

Authors:  Emanuela Locci; Matteo Stocchero; Antonio Noto; Alberto Chighine; Luca Natali; Pietro Emanuele Napoli; Roberto Caria; Fabio De-Giorgio; Matteo Nioi; Ernesto d'Aloja
Journal:  Metabolomics       Date:  2019-05-08       Impact factor: 4.290

2.  Quantitative metabolomic analysis of changes in the lens and aqueous humor under development of age-related nuclear cataract.

Authors:  Vadim V Yanshole; Lyudmila V Yanshole; Olga A Snytnikova; Yuri P Tsentalovich
Journal:  Metabolomics       Date:  2019-02-26       Impact factor: 4.290

3.  Alpha-crystallin mutations alter lens metabolites in mouse models of human cataracts.

Authors:  Cheryl Frankfater; Stephanie L Bozeman; Fong-Fu Hsu; Usha P Andley
Journal:  PLoS One       Date:  2020-08-24       Impact factor: 3.240

4.  Impact of euthanasia, dissection and postmortem delay on metabolic profile in mouse retina and RPE/choroid.

Authors:  Siyan Zhu; Michelle Yam; Yekai Wang; Jonathan D Linton; Allison Grenell; James B Hurley; Jianhai Du
Journal:  Exp Eye Res       Date:  2018-06-01       Impact factor: 3.467

5.  Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death.

Authors:  Marina Mora-Ortiz; Marianne Trichard; Alain Oregioni; Sandrine P Claus
Journal:  Metabolomics       Date:  2019-03-05       Impact factor: 4.290

6.  Association between Diabetes and Keratoconus: A Retrospective Analysis.

Authors:  Amy E Whelchel; Tina B McKay; Shrestha Priyadarsini; Tyler Rowsey; Dimitrios Karamichos
Journal:  Sci Rep       Date:  2019-09-24       Impact factor: 4.379

7.  Metabolic Analysis of Vitreous/Lens and Retina in Wild Type and Retinal Degeneration Mice.

Authors:  Elisa Murenu; Sarantos Kostidis; Shibojyoti Lahiri; Anna S Geserich; Axel Imhof; Martin Giera; Stylianos Michalakis
Journal:  Int J Mol Sci       Date:  2021-02-26       Impact factor: 5.923

  7 in total

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