Evidence map›Paper›PMID 33303775›Full record

ArticleScientific reports2020

Dynamic changes in cell size and corresponding cell fate after optic nerve injury.

Benjamin M Davis, Li Guo, Nivedita Ravindran, Ehtesham Shamsher, Veerle Baekelandt, Hannah Mitchell, Anil A Bharath, Lies De Groef, M Francesca Cordeiro

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in cell and developmental biology · 2025
    Review
  4. Article
  5. Differential susceptibility of retinal ganglion cell subtypes against neurodegenerative diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
    Review
  6. Article
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

9 authors at 3 institutions in 2 countries.

Benjamin M DavisInstitute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK.
Li GuoInstitute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK.
Nivedita RavindranInstitute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK.
Ehtesham ShamsherInstitute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK.
Veerle BaekelandtLaboratory for Neurobiology and Gene Therapy, Department of Neurosciences, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.
Hannah MitchellSchool of Mathematics and Physics, Queens University Belfast, Belfast, Ireland.
Anil A BharathDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, UK.
Lies De GroefNeural Circuit Development and Regeneration Research Group, Department of Biology, KU Leuven, Naamsestraat 61, 3000, Leuven, Belgium. lies.degroef@kuleuven.be.
M Francesca CordeiroInstitute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK. m.cordeiro@ucl.ac.uk.
University College London · GBImperial College London · GBKU Leuven · BE

Funding

Medical Research Council MC_PC_14118Wellcome TrustWellcome Trust ISSF fellowship to BMD
6 · The paper itself

Abstract

Identifying disease-specific patterns of retinal cell loss in pathological conditions has been highlighted by the emergence of techniques such as Detection of Apoptotic Retinal Cells and Adaptive Optics confocal Scanning Laser Ophthalmoscopy which have enabled single-cell visualisation in vivo. Cell size has previously been used to stratify Retinal Ganglion Cell (RGC) populations in histological samples of optic neuropathies, and early work in this field suggested that larger RGCs are more susceptible to early loss than smaller RGCs. More recently, however, it has been proposed that RGC soma and axon size may be dynamic and change in response to injury. To address this unresolved controversy, we applied recent advances in maximising information extraction from RGC populations in retinal whole mounts to evaluate the changes in RGC size distribution over time, using three well-established rodent models of optic nerve injury. In contrast to previous studies based on sampling approaches, we examined the whole Brn3a-positive RGC population at multiple time points over the natural history of these models. The morphology of over 4 million RGCs was thus assessed to glean novel insights from this dataset. RGC subpopulations were found to both increase and decrease in size over time, supporting the notion that RGC cell size is dynamic in response to injury. However, this study presents compelling evidence that smaller RGCs are lost more rapidly than larger RGCs despite the dynamism. Finally, using a bootstrap approach, the data strongly suggests that disease-associated changes in RGC spatial distribution and morphology could have potential as novel diagnostic indicators.

Indexed as

Cell SizeAnimalsDisease Models, AnimalMaleMice, Inbred C57BLOptic Nerve DiseasesRats, Inbred DahlRetinaRetinal Ganglion Cells

Identifiers

PMID33303775
PMCPMC7730151
OpenAlexW3107888947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.