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Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation

PURPOSE: Short-term improvements in retinal anatomy are known to occur in preclinical models of photoreceptor transplantation. However, correlative changes over the long term are poorly understood. We aimed to develop a quantifiable imaging biomarker grading scheme, using noninvasive multimodal conf...

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Autores principales: Liu, Ying V., Sodhi, Simrat K., Xue, Gilbert, Teng, Derek, Agakishiev, Dzhalal, McNally, Minda M., Harris-Bookman, Sarah, McBride, Caitlin, Konar, Gregory J., Singh, Mandeep S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414711/
https://www.ncbi.nlm.nih.gov/pubmed/32832212
http://dx.doi.org/10.1167/tvst.9.7.5
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author Liu, Ying V.
Sodhi, Simrat K.
Xue, Gilbert
Teng, Derek
Agakishiev, Dzhalal
McNally, Minda M.
Harris-Bookman, Sarah
McBride, Caitlin
Konar, Gregory J.
Singh, Mandeep S.
author_facet Liu, Ying V.
Sodhi, Simrat K.
Xue, Gilbert
Teng, Derek
Agakishiev, Dzhalal
McNally, Minda M.
Harris-Bookman, Sarah
McBride, Caitlin
Konar, Gregory J.
Singh, Mandeep S.
author_sort Liu, Ying V.
collection PubMed
description PURPOSE: Short-term improvements in retinal anatomy are known to occur in preclinical models of photoreceptor transplantation. However, correlative changes over the long term are poorly understood. We aimed to develop a quantifiable imaging biomarker grading scheme, using noninvasive multimodal confocal scanning laser ophthalmoscopy (cSLO) imaging, to enable serial evaluation of photoreceptor transplantation over the long term. METHODS: Photoreceptor cell suspensions or sheets from rhodopsin-green fluorescent protein mice were transplanted subretinally, into either NOD.CB17-Prkdc(scid)/J or C3H/HeJ-Pde6b(rd1) mice. Multimodal cSLO imaging was performed serially for up to three months after transplantation. Imaging biomarkers were scored, and a grade was defined for each eye by integrating the scores. Image grades were correlated with immunohistochemistry (IHC) data. RESULTS: Multimodal imaging enabled the extraction of quantitative imaging biomarkers including graft size, GFP intensity, graft length, on-target graft placement, intra-graft lamination, hemorrhage, retinal atrophy, and periretinal proliferation. Migration of transplanted material was observed. Changes in biomarker scores and grades were detected in 14/16 and 7/16 eyes, respectively. A high correlation was found between image grades and IHC parameters. CONCLUSIONS: Serial evaluation of multiple imaging biomarkers, when integrated into a per-eye grading scheme, enabled comprehensive tracking of longitudinal changes in photoreceptor cell grafts over time. The application of systematic multimodal in vivo imaging could be useful in increasing the efficiency of preclinical retinal cell transplantation studies in rodents and other animal models. TRANSLATIONAL RELEVANCE: By allowing longitudinal evaluation of the same animal over time, and providing quantifiable biomarkers, non-invasive multimodal imaging improves the efficiency of retinal transplantation studies in animal models. Such assays will facilitate the development of cell therapy for retinal diseases.
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spelling pubmed-74147112020-08-21 Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation Liu, Ying V. Sodhi, Simrat K. Xue, Gilbert Teng, Derek Agakishiev, Dzhalal McNally, Minda M. Harris-Bookman, Sarah McBride, Caitlin Konar, Gregory J. Singh, Mandeep S. Transl Vis Sci Technol Article PURPOSE: Short-term improvements in retinal anatomy are known to occur in preclinical models of photoreceptor transplantation. However, correlative changes over the long term are poorly understood. We aimed to develop a quantifiable imaging biomarker grading scheme, using noninvasive multimodal confocal scanning laser ophthalmoscopy (cSLO) imaging, to enable serial evaluation of photoreceptor transplantation over the long term. METHODS: Photoreceptor cell suspensions or sheets from rhodopsin-green fluorescent protein mice were transplanted subretinally, into either NOD.CB17-Prkdc(scid)/J or C3H/HeJ-Pde6b(rd1) mice. Multimodal cSLO imaging was performed serially for up to three months after transplantation. Imaging biomarkers were scored, and a grade was defined for each eye by integrating the scores. Image grades were correlated with immunohistochemistry (IHC) data. RESULTS: Multimodal imaging enabled the extraction of quantitative imaging biomarkers including graft size, GFP intensity, graft length, on-target graft placement, intra-graft lamination, hemorrhage, retinal atrophy, and periretinal proliferation. Migration of transplanted material was observed. Changes in biomarker scores and grades were detected in 14/16 and 7/16 eyes, respectively. A high correlation was found between image grades and IHC parameters. CONCLUSIONS: Serial evaluation of multiple imaging biomarkers, when integrated into a per-eye grading scheme, enabled comprehensive tracking of longitudinal changes in photoreceptor cell grafts over time. The application of systematic multimodal in vivo imaging could be useful in increasing the efficiency of preclinical retinal cell transplantation studies in rodents and other animal models. TRANSLATIONAL RELEVANCE: By allowing longitudinal evaluation of the same animal over time, and providing quantifiable biomarkers, non-invasive multimodal imaging improves the efficiency of retinal transplantation studies in animal models. Such assays will facilitate the development of cell therapy for retinal diseases. The Association for Research in Vision and Ophthalmology 2020-06-03 /pmc/articles/PMC7414711/ /pubmed/32832212 http://dx.doi.org/10.1167/tvst.9.7.5 Text en Copyright 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Liu, Ying V.
Sodhi, Simrat K.
Xue, Gilbert
Teng, Derek
Agakishiev, Dzhalal
McNally, Minda M.
Harris-Bookman, Sarah
McBride, Caitlin
Konar, Gregory J.
Singh, Mandeep S.
Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title_full Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title_fullStr Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title_full_unstemmed Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title_short Quantifiable In Vivo Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation
title_sort quantifiable in vivo imaging biomarkers of retinal regeneration by photoreceptor cell transplantation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414711/
https://www.ncbi.nlm.nih.gov/pubmed/32832212
http://dx.doi.org/10.1167/tvst.9.7.5
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