Broad spectrum metabolomics for detection of abnormal metabolic pathways in a mouse model for retinitis pigmentosa

Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of this disease, for which, at present, there are no effective therapeutic strategies. In the present report, we utilized broad spectrum metabolo...

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Published inExperimental eye research Vol. 184; pp. 135 - 145
Main Authors Weiss, Ellen R., Osawa, Shoji, Xiong, Yubin, Dhungana, Suraj, Carlson, James, McRitchie, Susan, Fennell, Timothy R.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.07.2019
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Abstract Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of this disease, for which, at present, there are no effective therapeutic strategies. In the present report, we utilized broad spectrum metabolomics to identify perturbations in the metabolism of the rd10 mouse, a genetic model for RP that contains a mutation in Pde6β. These data provide novel insights into mechanisms that are potentially critical for retinal degeneration. C57BL/6J and rd10 mice were raised in cyclic light followed by either light or dark adaptation at postnatal day (P) 18, an early stage in the degeneration process. Mice raised entirely in the dark until P18 were also evaluated. After euthanasia, retinas were removed and extracted for analysis by ultra-performance liquid chromatography-time of flight-mass spectrometry (UPLC-QTOF-MS). Compared to wild type mice, rd10 mice raised in cyclic light or in complete darkness demonstrate significant alterations in retinal pyrimidine and purine nucleotide metabolism, potentially disrupting deoxynucleotide pools necessary for mitochondrial DNA replication. Other metabolites that demonstrate significant increases are the Coenzyme A intermediate, 4′-phosphopantothenate, and acylcarnitines. The changes in these metabolites, identified for the first time in a model of RP, are highly likely to disrupt normal energy metabolism. High levels of nitrosoproline were also detected in rd10 retinas relative to those from wild type mice. These results suggest that nitrosative stress may be involved in retinal degeneration in this mouse model. •First use of broad spectrum metabolomics to identify metabolic perturbations in a mouse model for retinitis pigmentosa.•Differences in metabolite profiles were identified between wild type and rd10 mice raised in cyclic light or in the dark.•Pathways found to be most affected involved purine and pyrimidine deoxynucleotides.•Elevated levels of nitrosoproline suggest NO plays an important role in the degeneration program in rd10 mice.•These studies provide novel insights into retinal degeneration pathways that may lead to novel drug development.
AbstractList Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of this disease, for which, at present, there are no effective therapeutic strategies. In the present report, we utilized broad spectrum metabolomics to identify perturbations in the metabolism of the rd10 mouse, a genetic model for RP that contains a mutation in Pde6β. These data provide novel insights into mechanisms that are potentially critical for retinal degeneration. C57BL/6J and rd10 mice were raised in cyclic light followed by either light or dark adaptation at postnatal day (P) 18, an early stage in the degeneration process. Mice raised entirely in the dark until P18 were also evaluated. After euthanasia, retinas were removed and extracted for analysis by ultra-performance liquid chromatography-time of flight-mass spectrometry (UPLC-QTOF-MS). Compared to wild type mice, rd10 mice raised in cyclic light or in complete darkness demonstrate significant alterations in retinal pyrimidine and purine nucleotide metabolism, potentially disrupting deoxynucleotide pools necessary for mitochondrial DNA replication. Other metabolites that demonstrate significant increases are the Coenzyme A intermediate, 4'-phosphopantothenate, and acylcarnitines. The changes in these metabolites, identified for the first time in a model of RP, are highly likely to disrupt normal energy metabolism. High levels of nitrosoproline were also detected in rd10 retinas relative to those from wild type mice. These results suggest that nitrosative stress may be involved in retinal degeneration in this mouse model.
Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of this disease, for which, at present, there are no effective therapeutic strategies. In the present report, we utilized broad spectrum metabolomics to identify perturbations in the metabolism of the rd10 mouse, a genetic model for RP that contains a mutation in Pde6β. These data provide novel insights into mechanisms that are potentially critical for retinal degeneration. C57BL/6J and rd10 mice were raised in cyclic light followed by either light or dark adaptation at postnatal day (P) 18, an early stage in the degeneration process. Mice raised entirely in the dark until P18 were also evaluated. After euthanasia, retinas were removed and extracted for analysis by ultra-performance liquid chromatography-time of flight-mass spectrometry (UPLC-QTOF-MS). Compared to wild type mice, rd10 mice raised in cyclic light or in complete darkness demonstrate significant alterations in retinal pyrimidine and purine nucleotide metabolism, potentially disrupting deoxynucleotide pools necessary for mitochondrial DNA replication. Other metabolites that demonstrate significant increases are the Coenzyme A intermediate, 4’-phosphopantothenate, and acylcarnitines. The changes in these metabolites, identified for the first time in a model of RP, are highly likely to disrupt normal energy metabolism. High levels of nitrosoproline were also detected in rd10 retinas relative to those from wild type mice. These results suggest that nitrosative stress may be involved in retinal degeneration in this mouse model.
Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of this disease, for which, at present, there are no effective therapeutic strategies. In the present report, we utilized broad spectrum metabolomics to identify perturbations in the metabolism of the rd10 mouse, a genetic model for RP that contains a mutation in Pde6β. These data provide novel insights into mechanisms that are potentially critical for retinal degeneration. C57BL/6J and rd10 mice were raised in cyclic light followed by either light or dark adaptation at postnatal day (P) 18, an early stage in the degeneration process. Mice raised entirely in the dark until P18 were also evaluated. After euthanasia, retinas were removed and extracted for analysis by ultra-performance liquid chromatography-time of flight-mass spectrometry (UPLC-QTOF-MS). Compared to wild type mice, rd10 mice raised in cyclic light or in complete darkness demonstrate significant alterations in retinal pyrimidine and purine nucleotide metabolism, potentially disrupting deoxynucleotide pools necessary for mitochondrial DNA replication. Other metabolites that demonstrate significant increases are the Coenzyme A intermediate, 4′-phosphopantothenate, and acylcarnitines. The changes in these metabolites, identified for the first time in a model of RP, are highly likely to disrupt normal energy metabolism. High levels of nitrosoproline were also detected in rd10 retinas relative to those from wild type mice. These results suggest that nitrosative stress may be involved in retinal degeneration in this mouse model. •First use of broad spectrum metabolomics to identify metabolic perturbations in a mouse model for retinitis pigmentosa.•Differences in metabolite profiles were identified between wild type and rd10 mice raised in cyclic light or in the dark.•Pathways found to be most affected involved purine and pyrimidine deoxynucleotides.•Elevated levels of nitrosoproline suggest NO plays an important role in the degeneration program in rd10 mice.•These studies provide novel insights into retinal degeneration pathways that may lead to novel drug development.
Author Fennell, Timothy R.
Xiong, Yubin
McRitchie, Susan
Carlson, James
Weiss, Ellen R.
Dhungana, Suraj
Osawa, Shoji
AuthorAffiliation g Present address: Waters Corporation, Milford, MA
a Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, NC
f Nutrition Research Institute, The University of North Carolina at Chapel Hill, NC
c The Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, NC
h Present address: LECO Corporation, St. Joseph, MI
d Eastern Regional Comprehensive Metabolomics Resource Core, The University of North Carolina at Chapel Hill, Chapel Hill, NC
b The Neuroscience Center, The University of North Carolina at Chapel Hill, NC
e RTI International, 3040 Cornwallis Drive, Research Triangle Park, NC, 27709, USA
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Keywords Retinal degeneration
UPLC-TOF-MS
Metabolomics
Deoxynucleotide
Nitric oxide
Language English
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Snippet Retinitis pigmentosa (RP) is a degenerative disease of the retina that affects approximately 1 million people worldwide. There are multiple genetic causes of...
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elsevier
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StartPage 135
SubjectTerms Animals
Chromatography, High Pressure Liquid
Deoxynucleotide
Disease Models, Animal
Mass Spectrometry
Metabolic Networks and Pathways - physiology
Metabolome - physiology
Metabolomics
Mice
Mice, Inbred C57BL
Nitric oxide
Nitrosamines - metabolism
Purine Nucleotides - metabolism
Pyrimidines - metabolism
Retinal degeneration
Retinitis Pigmentosa - metabolism
UPLC-TOF-MS
Title Broad spectrum metabolomics for detection of abnormal metabolic pathways in a mouse model for retinitis pigmentosa
URI https://dx.doi.org/10.1016/j.exer.2019.03.007
https://www.ncbi.nlm.nih.gov/pubmed/30885711
https://search.proquest.com/docview/2194137144
https://pubmed.ncbi.nlm.nih.gov/PMC6570542
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