Evidence map›Paper›PMID 41591536›Full record

ArticleInternational ophthalmology2026

Application of umbilical cord mesenchymal stem cell lysate in dry eye syndrome and retinal injury.

Zhongci Hang, Yingxian Li, Weijie Ren, Hongwu Du

Abstract read
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In one paragraph

Article in International ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zhongci Hang *School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Yingxian Li *School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Weijie RenSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Hongwu DuSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China. hongwudu@ustb.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHuman umbilical cord mesenchymal stem cell lysates (UCML) have crucial bioactivities, including tissue regeneration, wound healing, and immune regulation, showing great potential for treating eye diseases. This study investigates the therapeutic efficacy of UCML loaded in artificial tears (AT@UCML) on dry eye syndrome (DES) and retinal injury.

methodsThis study first evaluated the safety, antioxidant properties, and tissue-repairing effects of AT@UCML in disease-relevant ocular cells. Then, we treated DES and ischemia/reperfusion (I/R) retinal injury mouse models by AT@UCML. To assess the effects in DES mice, we measured tear secretion, corneal damage, and goblet cell numbers. For I/R mice, we examined retinal ganglion cell numbers and retinal thickness.

resultsExperiments showed that AT@UCML reduced oxidative stress and protected ocular cells. In DES mice, it increased tear secretion, repaired corneal damage, and restored goblet cell counts. In I/R mice, it reduced retinal ganglion cell loss and restored retinal thickness.

conclusionsAT@UCML effectively treated DES and I/R injuries by protecting key ocular cells. This study expands the application of stem cell therapy in ophthalmology and provides a basis for developing related treatments.

Indexed as

Dry Eye SyndromesMesenchymal Stem CellsMesenchymal Stem Cell TransplantationRetinal DiseasesUmbilical CordAnimalsDisease Models, AnimalHumansMaleMiceMice, Inbred C57BLOxidative StressRetinal Ganglion CellsTearsArtificial tearsDry eye syndromeLysateRetinal injuryUC-MSCs

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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.