Evidence map›Paper›PMID 40032926›Full record

ArticleScientific reports2025

Optimized laboratory techniques for assessing the quality of pre-stripped DMEK grafts.

Tomy Sagnial, Sandrine Ninotta, Paul Goin, Inès Aouimeur, Louise Parveau, Sylvain Poinard, Oliver Dorado Cortez, Olfa Ben Moussa, Hanielle Vaitinadapoule, Anne-Sophie Gauthier and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Tomy Sagnial *Laboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Sandrine Ninotta *Laboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Paul GoinLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Inès AouimeurLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Louise ParveauLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Sylvain PoinardLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Oliver Dorado CortezLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Olfa Ben MoussaLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Hanielle VaitinadapouleLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Anne-Sophie GauthierLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Philippe GainLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Gilles ThuretLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France.
Zhiguo HeLaboratory of Biology, Engineering and Imaging for Ophthalmology (BiiO), Faculty of Medicine, Health Innovation Campus, Jean Monnet University, Saint-Étienne, France. zhiguo.he@univ-st-etienne.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addressed limitations in calcein-AM-based endothelial viability assays, specifically focusing on pre-stripped DMEK grafts. Key challenges included the suboptimal calcein staining and the incompatibility of the viability assay with subsequent immunofluorescence (IF). Using human corneal grafts, we employed two strategies to optimize calcein staining. Firstly, we improved calcein staining in corneal endothelium by adjusting calcein-AM concentration and diluent, resulting in a threefold increase in fluorescence intensity with 4 µM calcein in Opti-MEM compared to the conventional 2 µM calcein in PBS. Secondly, introducing the trypan blue (TB) post-viability assay greatly reduced non-specific fluorescence, enhancing the contrast of calcein staining. This improvement significantly and importantly decreased both inter-operator's variability and the time required for viability counting. For the subsequent double IF, an extensive wash is recommended on the fixed and permeabilized graft after the viability assay, which was carried out using Hoechst-Calcein (HC) labeling. The simple technical tips outlined in this study are not only effective for pre-stripped DMEK grafts but may also prove beneficial for other types of corneal grafts, such as PK and DSAEK.

Indexed as

Descemet Stripping Endothelial KeratoplastyEndothelium, CornealCell SurvivalFluoresceinsHumansStaining and Labelingcalcein AMFluoresceinsCalcein-AMCorneal endothelial cells (CECs)Endothelial cell density (ECD)Endothelial viabilityEye bankImmunofluorescence (IF)Pre-stripped DMEK graftsTrypan blue (TB)Viable ECD

Identifiers

PMID40032926
PMCPMC11876697

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.