Evidence map›Paper›PMID 32832212›Full record

ArticleTranslational vision science & technology2020

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

Ying V Liu, Simrat K Sodhi, Gilbert Xue, Derek Teng, Dzhalal Agakishiev, Minda M McNally, Sarah Harris-Bookman, Caitlin McBride, Gregory J Konar, Mandeep S Singh

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Outer Retinal Cell Replacement: Putting the Pieces Together.Translational vision science & technology · 2021
    Review
  11. The Prospects for Retinal Organoids in Treatment of Retinal Diseases.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Ying V LiuWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Simrat K SodhiWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gilbert XueWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Derek TengWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dzhalal AgakishievWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Minda M McNallyWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sarah Harris-BookmanWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Caitlin McBrideSolomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA.
Gregory J KonarWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mandeep S SinghWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Medicine · USMidwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 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.

Indexed as

Cell TransplantationPhotoreceptor CellsAnimalsBiomarkersMiceMice, Inbred C3HMice, Inbred NODBiomarkersage-related macular degenerationconfocal scanning laser ophthalmoscopydegenerative retinal diseasesphotoreceptor cellretinal organoidstem cell therapyxenotransplantation

Identifiers

PMID32832212
PMCPMC7414711
OpenAlexW3033287548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.