Literature DB >> 29507331

Higher retinal vessel oxygen saturation: investigating its relationship with macular oedema in retinitis pigmentosa patients.

Rossiana I Bojinova1,2, Daniel F Schorderet3,4,5, Christophe Valmaggia6, Cengiz Türksever1,7, Andreas Schoetzau1, Margarita G Todorova8.   

Abstract

PURPOSE: Primary objective-to investigate the effect of retinal vessel oxygen saturation (SO2) on macular oedema (ME) in retinitis pigmentosa (RP) patients. Secondary objective-to link the presence of ME to metabolic (oxygen saturation of retinal vessels, SO2), functional (multifocal electroretinography, mfERG) and structural (Spectral Domain Optical Coherent Tomography, SD-OCT) alterations in RP.
DESIGN: Prospective, cross-sectional, non-interventional study.
SUBJECTS: Patients with typical RP (N = 37) and controls (N = 19), who underwent retinal vessel Oximetry (RO), SD-OCT and mfERG, were included.
METHODS: A computer-based program of the retinal vessel analyser unit (IMEDOS Systems UG, Jena, Germany) was used to measure SO2. We evaluated the mean SO2, in all major retinal arterioles (oxygen saturation in retinal arterioles, A-SO2, %) and venules (oxygen saturation in retinal venules, V-SO2, %). MfERG responses were averaged in zones (zone 1 (0-3°), zone 2 (3-8°) and zone 3 (8-15°)) and compared to corresponding areas of the OCT. The effect of ME on SO2 was evaluated dividing the RP in two subgroups: with clinical appearance of ME (ME-RP) and without it (no-ME-RP). MAIN OUTCOME MEASURES: Parallel recording and juxtaposition of metabolic (SO2) to structural (OCT) and functional-(mfERG) measures. Mean ( ± SD) A-SO2 and V-SO2 were higher in no-ME-RP (96.77% (±6.31) and 59.93% (±7.76)) and even higher in the ME-RP (99.82% (±6.21) and 65.63% (±7.63)), compared to controls (93.15% (±3.76) and 53.77% (±3.70), p ≤ 0.006).
RESULTS: The subgroup ME-RP differed significantly from the subgroup no-ME-RP by increased A-SO2 and V-SO2, p ≤ 0.026. The presence of ME confirmed a different relationship between the altered SO2 and the vessel diameters, against the functional and structural parameters.
CONCLUSION: Based on our results, the presence of macular oedema indicates a tendency toward greater alteration of the metabolic function in RP patients.

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Year:  2018        PMID: 29507331      PMCID: PMC6043605          DOI: 10.1038/s41433-018-0043-1

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  47 in total

1.  Quantitative analysis of retinal vessel attenuation in eyes with retinitis pigmentosa.

Authors:  Yaling Ma; Ryo Kawasaki; Lucy P Dobson; Jonathan B Ruddle; Lisa S Kearns; Tien Y Wong; David A Mackey
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-06-28       Impact factor: 4.799

2.  RETINAL OXYGEN UTILIZATION MEASURED BY HYPERBARIC BLACKOUT.

Authors:  B ANDERSON; H A SALTZMAN
Journal:  Arch Ophthalmol       Date:  1964-12

3.  Metabolic and functional changes in retinitis pigmentosa: comparing retinal vessel oximetry to full-field electroretinography, electrooculogram and multifocal electroretinography.

Authors:  Margarita G Todorova; Cengiz Türksever; Andreas Schötzau; Daniel F Schorderet; Christophe Valmaggia
Journal:  Acta Ophthalmol       Date:  2015-10-22       Impact factor: 3.761

4.  Intraretinal oxygen levels before and after photoreceptor loss in the RCS rat.

Authors:  D Y Yu; S J Cringle; E N Su; P K Yu
Journal:  Invest Ophthalmol Vis Sci       Date:  2000-11       Impact factor: 4.799

5.  Antioxidants reduce cone cell death in a model of retinitis pigmentosa.

Authors:  Keiichi Komeima; Brian S Rogers; Lili Lu; Peter A Campochiaro
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-18       Impact factor: 11.205

6.  Rod photoreceptor neurite sprouting in retinitis pigmentosa.

Authors:  Z Y Li; I J Kljavin; A H Milam
Journal:  J Neurosci       Date:  1995-08       Impact factor: 6.167

Review 7.  Retinal oxygen: fundamental and clinical aspects.

Authors:  Norbert D Wangsa-Wirawan; Robert A Linsenmeier
Journal:  Arch Ophthalmol       Date:  2003-04

Review 8.  Cone rod dystrophies.

Authors:  Christian P Hamel
Journal:  Orphanet J Rare Dis       Date:  2007-02-01       Impact factor: 4.123

9.  IROme, a new high-throughput molecular tool for the diagnosis of inherited retinal dystrophies.

Authors:  Daniel F Schorderet; Alexandra Iouranova; Tatiana Favez; Leila Tiab; Pascal Escher
Journal:  Biomed Res Int       Date:  2012-12-26       Impact factor: 3.411

Review 10.  Animal modelling for inherited central vision loss.

Authors:  Corinne Kostic; Yvan Arsenijevic
Journal:  J Pathol       Date:  2015-11-13       Impact factor: 7.996

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  5 in total

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Authors:  Bing-Wen Lu; Guo-Jun Chao; Gai-Ping Wu; Li-Ke Xie
Journal:  Int J Ophthalmol       Date:  2021-12-18       Impact factor: 1.779

2.  Monte-Carlo simulation and tissue-phantom model for validation of ocular oximetry.

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Journal:  Biomed Opt Express       Date:  2022-04-21       Impact factor: 3.562

3.  Metabolic monitoring of transcorneal electrical stimulation in retinitis pigmentosa.

Authors:  Maria Della Volpe-Waizel; Hanna Camenzind Zuche; Ursula Müller; Annekatrin Rickmann; Hendrik P N Scholl; Margarita G Todorova
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-11-12       Impact factor: 3.117

4.  Investigation of Blood Characteristics in Nonsyndromic Retinitis Pigmentosa: A Retrospective Study.

Authors:  Yijing Yang; Ying Deng; Ye Tian; Zhen Yao; Yasha Zhou; Ying Wang; Qinghua Peng; Jun Peng
Journal:  J Ophthalmol       Date:  2019-05-02       Impact factor: 1.909

5.  Retinal Oxygenation in Inherited Diseases of the Retina.

Authors:  Cengiz Türksever; Lisette T López Torres; Christophe Valmaggia; Margarita G Todorova
Journal:  Genes (Basel)       Date:  2021-02-14       Impact factor: 4.096

  5 in total

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