SYSTEMATIC REVIEW article

Front. Pharmacol., 01 July 2025

Sec. Experimental Pharmacology and Drug Discovery

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1587440

Efficacy and safety of stem cells in the treatment of glaucoma: systematic review and meta-analysis based on animal experiments

  • 1. School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong, China

  • 2. Key Laboratory of Ophthalmology and Visual Science of Zibo City, Zibo Central Hospital, Shandong Second Medical University, Zibo, Shandong, China

  • 3. Department of Geriatrics, Zibo Central Hospital, Shandong Second Medical University, Zibo, Shandong, China

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Abstract

Purpose:

Glaucoma, characterized by progressive retinal ganglion cell (RGC) degeneration and optic nerve atrophy, remains a leading global cause of irreversible blindness, despite advancements in clinical management. While current therapies predominantly focus on lowering intraocular pressure (IOP), neuroprotective strategies to preserve visual function remain an unmet clinical need. Stem cells exhibit high proliferative capacity and multilineage differentiation potential, demonstrating notable efficacy in glaucoma treatment. Emerging preclinical evidence further highlights dual neuroprotective mechanisms (i.e., paracrine neurotrophic support and cellular replacement) of stem cell-based interventions. Accordingly, this systematic review and meta-analysis evaluated the therapeutic efficacy and safety of stem cell transplantation in experimental glaucoma models, with a focus on functional outcomes (IOP modulation), structural preservation (RGC survival, and nerve fiber layer integrity), and neuroprotective efficacy.

Methods:

A systematic literature retrieval from multiple online databases (e.g., PubMed, Web of Science, Embase, Cochrane Library, Scopus, CNKI, WFSD, VIP, and CBM) was conducted through 3 January 2025, to identify relevant animal experimental studies. After the assessment of the risk of bias in the listed articles, this study further computed effect sizes of stem cell transplantation on indices such as IOP, RGC count. Statistical analyses were completed using RevMan 5.3.

Results:

In the meta-analysis involving 19 studies, the stem cell transplantation group had significantly lower IOP (MD = -1.55,95% CI = −2.62 to −0.47) at weeks 3 and 4, higher RGC count at weeks 2, 3, and 4 (MD = 23.06,95%CI = 18.22–27.89), and greater nerve fiber layer thickness (MD = 10.69, 95%CI = 9.44–11.94) compared to the control group. Meanwhile, the stem cell transplantation group also had higher retinal BDNF expression at weeks 2 and 4 (MD = 0.75,95%CI = 0.67–0.83), GDNF expression at weeks 1, 2, 3, and 4, and IGF-1 expression (MD = 0.49,95%CI = 0.39–0.58). None of these studies reported any adverse systemic events.

Conclusion:

This meta-analysis provides preclinical evidence supporting stem cell transplantation as a multimodal therapeutic strategy for glaucoma, demonstrating significant efficacy in IOP modulation, neurostructural preservation, and neurotrophic factor expression. Given the severity of glaucoma-induced ocular structural damage, it underscores the significance of stem cell transplantation as a secure and promising therapeutic option with notable neuroprotective potential, despite existing translational challenges regarding optimal cell sources, delivery routes, and long-term safety profiles.

Systematic Review Registration:

www.inplasy.com, identifier 202520023

1 Introduction

Glaucoma is a common pathology of the eye with increased intraocular pressure (IOP) and optic nerve damage as the major manifestations. If left untreated, it can eventually lead to vision loss (Asrani et al., 2024). Millions of people are negatively impacted by glaucoma, second after cataracts in the top list of inducing blindness (Quigley and Broman, 2006; Chen and Shen, 2015). Currently, topical IOP-lowering medications (e.g., prostaglandin analogs, β-blockers), selective laser trabeculoplasty, and filtration surgeries remain the gold-standard therapeutic approaches for glaucoma, demonstrating partial efficacy in delaying disease progression. However, these therapies inherently fail to address the critical pathobiological mechanisms underlying neural repair. Notably, persistent visual field deterioration is reported in approximately 30%–40% of advanced-stage patients, despite their achievement of target IOP levels. This therapeutic gap is further exacerbated by the poor regenerative capacity of adult mammalian retinal ganglion cells (RGCs) and insufficient endogenous production of brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF), two representative neurotrophic factors indispensable for neuronal survival and axonal regeneration. Emerging preclinical evidence highlights the potential dual therapeutic effects exerted by stem cell-based strategies: modulating IOP through trabecular meshwork remodeling and conferring direct neuroprotection via paracrine factor secretion (e.g., neurotrophins, and growth factors). These biological properties position stem cell therapy as a promising modality to bridge the translational chasm between symptomatic control and true neural restoration in glaucoma management. Therefore, new therapeutic strategies are necessitated to repair the damage to the optic nerve and restore vision (Chen and Ng, 2018).

The emergence of stem cell therapy has offered new hope for glaucoma treatment recently. Stem cells, supported by their self-renewal and differentiation, have shown great promise, particularly in retinal and optic nerve repair. Stem cells have been documented to improve optic nerve damage in glaucoma patients by promoting neuronal regeneration, protecting optic nerve fibers, and reducing IOP (Emre et al., 2023). Therefore, it may be a feasible choice for glaucoma, especially for advanced-stage patients.

Despite the broad prospects, stem cell therapy for glaucoma remains in the experimental stage, primarily evaluated in animal models and preclinical studies. It has not yet been widely applied clinically owing to variations in related technologies/transplantation strategies, ethical-regulatory controversies, uncertainties in risk management, etc. It is expected to realize gradually advanced clinical implementation if these challenges can be addressed. Several animal experiments have shown positive results with stem cells in repairing optic nerves and improving vision (Johnson et al., 2014; Guo et al., 2021). In glaucoma models, certain therapeutic effects have been discovered in various types, including bone marrow-derived mesenchymal stem cells (BMSCs), neural stem cells, and induced pluripotent stem cells. However, several challenges can still not be omitted, such as donor heterogeneity (e.g., age-related mitochondrial dysfunction in BMSCs), immune-mediated adverse reactions, and tumorigenic risks from residual undifferentiated cells, all of which should be further clarified and verified (Kasetty et al., 2022). In response to these limitations, current investigations have focused on innovative strategies involving precision lineage-specific differentiation, immunomodulation (via anti-inflammatory cytokines or hypoxia-mimetic agents to reduce pro-inflammatory cytokine secretion), and delivery system innovation (e.g., biomaterial-encapsulated stem cells), which hold potential to mitigate the occurrence and progression of associated adverse reactions.

By reviewing related animal model studies, this study assessed the efficacy and safety of stem cell transplantation for glaucoma. This study focused on randomized controlled trials (RCTs) using three common glaucoma animal models: laser-induced photocoagulation of the aqueous humor outflow pathway, mechanical optic nerve injury, and laser photocoagulation of episcleral veins to induce ocular hypertension. It aimed to assess their efficacy in controlling IOP, preserving RGC function, and increasing retinal nerve fiber layer thickness. Additionally, the study examined whether treatment enhanced the expression of neurotrophic factors (e.g., BDNF, GDNF, and IGF-I) that promote RGC survival, optic nerve regeneration, and neuronal self-repair, while also evaluating treatment safety. It may provide scientific evidence for stem cell therapy in glaucoma and offer potential reference for its clinical application, thus contributing to the theoretical support for future clinical translation.

2 Methods

This study, with corresponding registered in INPLASY (No.202520023), was conducted according to the PRISMA.

2.1 Search strategy

Two researchers searched PubMed, Web of Science, Embase, Cochrane Library, Scopus, CNKI, WFSD, VIP, and CBM from their inception to 3 January 2025. The English search terms were: “stem cells”, “stem cell”, “stromal cells”, and “glaucoma”. References from the included studies and related reviews were traced to find out additional references eligible for our analysis.

2.2 Eligibility criteria

Inclusion:

  • (1) Studies involving successfully established and verified animal models of glaucoma.

  • (2) Studies without restrictions on the induction method of glaucoma.

  • (3) RCTs.

  • (4) Studies with no restrictions on animal species, sex, age, or weight.

  • (5) Studies with the establishment of a placebo or untreated control group.

Exclusion:

  • (1) Conference abstracts and review articles.

  • (2) Non-English and Non-Chinese publications.

2.3 Data extraction

Screening of relevant literature was completed by two researchers independently. The data were then collated and checked by two other researchers. After removing duplicates, the titles and abstracts were screened to exclude obviously irrelevant studies and review articles. The full texts were then assessed to determine whether these studies should be included. In case of studies with incomplete data, the original authors would be contacted to obtain additional information. Data were calculated from standard errors (SEs), CIs, t or p values for those without standard deviations (SDs), or looked for from the original authors through mail contact. GetData Digitizer 2.20 would be employed to extract data we needed from the available graphs. Studies would be excluded when the above attempts were failed to obtain relevant data. Potential disagreements would be resolved by consulting a third party. Terms of extraction were the title, first author’s name, publication year, animal species, sample size, type of experimental model, stem cell type, administration route, intervention measures, and outcome indicators.

2.4 Quality assessment

The SYRCLE’s Risk of Bias tool for animal studies, with 10 recommended items, was used for the assessment. The details related to quality assessment items and corresponding results are summarized in Table 2. The assessment results were classified as “L,” “H,” and “U,” representing low, high, and unclear risk of bias, respectively.

2.5 Statistical analysis

RevMan 5.3 was utilized for analyzing the outcome measures of the included studies, with the statistical difference identified by P < 0.05. For continuous outcome measures, when all studies utilized identical animal models and outcome measurement protocols (e.g., consistent IOP measurement techniques or standardized RGC density quantification), data were pooled by the weighted mean difference (WMD) with 95% confidence intervals (CIs). In contrast, the standardized mean difference (SMD) with 95% CIs was applied as the effect size measure to account for methodological heterogeneities in experimental designs or measurement scales across studies. The heterogeneity was tested prior to effect size pooling. A random-effects model was used in the presence of heterogeneity (e.g., I2 > 50% and P < 0.1); otherwise, a fixed-effects model was applied. Sensitivity and subgroup analyses were further adopted, in case of significant heterogeneity, by sequentially excluding individual studies to identify the source of heterogeneity. Funnel plot for publication bias was referenced when >9 studies were included for a single outcome measure.

3 Results

3.1 Literature search

Preliminary searching and duplicate removal identified 2,248 articles, including 974 from Embase, 460 from PubMed, 226 from Web of Science, 316 from Scopus, 12 from Cochrane, 112 from CBM, 8 from VIP, 49 from CNKI, and 89 from WFSD. Nineteen studies were included in this meta-analysis after excluding irrelevant studies based on the above inclusion criteria (Figure 1).

FIGURE 1

Flowchart illustrating the process of selecting studies for meta-analysis. Initially, 4,311 studies were retrieved, reduced to 2,248 after initial screening. From these, 2,185 were excluded due to irrelevance or summaries. Of the 63 reviewed, 44 were excluded for reasons such as non-target outcomes, repetitive content, or being non-glaucoma models. Finally, 19 studies were included in the meta-analysis.

The selection process of studies included for meta-analysis.

3.2 Eligible study characterization

As clearly implied in Table 1, this study included 19 RCTs conducted in rats, rabbits, and mice mainly. Six studies were conducted based on a glaucoma animal model using laser photocoagulation of the aqueous humor outflow region, three studies implemented a mechanical optic nerve injury animal model, and three studies created a high IOP animal model utilizing laser photocoagulation of the scleral surface veins. Five studies primarily created a high IOP animal model by injecting physiological saline, sodium hyaluronate, transforming growth factor, Ringer’s solution, or conjunctival fibroblasts into the anterior chamber. One study established a high IOP animal model by subconjunctival injection of dexamethasone, and another study induced a high IOP animal model with prednisone acetate and betamethasone acetate.

TABLE 1

Studies includedAnimalsT/CModelingTCOutcome measuresCondition
Guo et al. (2012)white rabbit20/20Subconjunctival injection of dexamethasoneVitreous cavity injection of NSCBlank controlAll animals were housed under standard conditions, with 12 h of alternating darkness (7:00–19:00 for the photoperiod). All animal behavior and dosing experiments were completed between 13:30 and 16:00
Sihota et al. (2019)white rabbit12/10Laser photocoagulation of the aqueous humor outflow regionVitreous cavity injection of hUCBSCsBlank control⑥⑦Animals were housed in pathogen-free conditions and underwent a thorough clinical examination including intraocular
pressure evaluation, to exclude any prior ocular or systemic pathology
Liu et al. (2021)C57BL/6
Mice
14/14Injection of physiological saline into the anterior chamberVitreous cavity injection of hUCMSCsEqual volume of saline solutionExperimental animals in a room with the adjustable climate where the light/dark cycle ratio is 12 h:12 h. Food and water were available to the animals
Zhao et al. (2011)SD Rats45/45Mechanical optic nerve injury modelVitreous cavity injection of hUCBSCsEqual volume of saline solution②③④⑦
Evangelho et al. (2024)white rabbit10/5Induction with prednisone acetate and betamethasone acetateVitreous cavity injection of hWJ-MSCsBlank controlThe animals were housed in a controlled environment with 50% ± 20% relative humidity, room temperature of 15ºC-23°C and 12-h light/12-h darkness cycle
Emre et al. (2015)Wistar Rats32/8Anterior chamber injection of sodium hyaluronateVitreous cavity injection of BMSCs or ATMSCSEqual volume of PBS①②⑥⑦The environmental temperatures were kept constant at 19°C–23°C, and the humidity was controlled. The rooms were lit with fluorescent lights on a 12-h on-off light cycle (06:00 a.m.-06:00 p.m.)
Li et al. (2018)SD Rats30/30Mechanical optic nerve injury modelVitreous cavity injection of ASCsEqual volume of PBSAll animals were raised in a specific-pathogen-free animal house with a room temperature of 22°C–24°C, 12-h light-dark cycle, and a relative humidity of 50%–60%
Gu et al. (2016)SD Rats15/15Laser photocoagulation of the scleral surface veinsVitreous cavity injection of RSCEqual volume of PBS①③⑤
Zhou (2013)SD Rats6/6Laser photocoagulation of the corneal limbal vascular network and three superficial scleral veinsVitreous cavity injection of RSCEqual volume of PBS①⑤⑥
Yu et al. (2023)SD Rats20/20Anterior chamber injection of conjunctival fibroblastsVitreous cavity injection of MSCsEqual volume of PBSAnimals were maintained on a 12-h light-dark cycle and were dark-adapted for at least 2 h before the experiments
Manuguerra-Gagné et al. (2013)Brown Norway
Rats
12/12Laser photocoagulation of the aqueous humor outflow regionAnterior chamber injection of MSCsEqual volume of saline solution①⑥
Mead et al. (2016)SD Rats12/6Anterior chamber injection of transforming growth factorVitreous cavity injection of DPSC、ADSC、BMSCsBlank controlAnimals housed in conditions of 21°C and 55% humidity under a 12 h light/dark cycle with a daytime luminance of 80 lux, given food and water
Roubeix et al. (2015)Long Evans Rats25/25Laser photocoagulation of three superficial scleral veinsAnterior chamber injection of BMSCsEqual volume of culture medium①②Animals were kept in pathogen-free conditions with food and water available ad libitum and were housed in a 12-h light/12-h dark cycle
Hu et al. (2013)SD Rats14/7Laser photocoagulation of the aqueous humor outflow regionVitreous cavity injection of BMSCsBlank controlAnimals maintained on a 12/12 dark/light cycle with free access to food and water in single housing
Tian et al. (2020)Lewis Rats20/10Laser photocoagulation of the aqueous humor outflow regionVitreous cavity injection of BMSCsEqual volume of PBS①②③Lewis rats are housed in standard plastic cages with sawdust litter at room temperatures of 21°C ± 2°C, animals have unrestricted access to food and water, maintain a 12 h light/12 h dark cycle, and acclimatize the rats to the environment for at least 2 weeks prior to the experiment
Johnson et al. (2014)SD Rats30/15Laser photocoagulation of the aqueous humor outflow regionVitreous cavity injection of PDGF – AA or PDGF – ABEqual volume of PBS
Bull et al. (2009)Lewis Rats10/8Laser photocoagulation of the aqueous humor outflow regionVitreous cavity injection of OPCsEqual volume of PBSAnimals had unrestricted access to food and water, and were maintained on a 12-h light/dark cycle
Liu (2006)SD Rats42/42Mechanical optic nerve injury modelSubvitreal injection of NSCEqual volume of PBS①③④
Wang (2004)Wistar Rats12/12Anterior chamber injection of Ringer’s solutionSubretinal injection of BMSCsEqual volume of PBS⑥⑦

Basic features of the eligible studies.

T, experimental group; C, control group; OPCs, Oligodendrocyte precursor cells; BMSCs, Bone marrow mesenchymal stem cells; ATMSCs, Adipose-derived mesenchymal stem cells; hUCBSCs, Human umbilical cord blood stem cells; RSC, retinal stem cells; NSC, neural stem cells; hUC MSCs, Human umbilical cord mesenchymal stem cells; hWJ-MSCs, Human Wharton’s jelly mesenchymal stem cells; ASCs, Adipose-derived stem cells; MSCs, Mesenchymal stem cells; DPSC, dental pulp stem cells; ADSC, Adipose-derived stem cells; PDGF, Platelet-derived growth factor; ① IOP; ② RGC, count; ③ Expression of retinal BDNF; ④ Expression of retinal GDNF; ⑤ Expression of retinal IGF-I; ⑥ Survival, migration, differentiation, and integration of transplanted stem cells; ⑦ Adverse reactions; and ⑧ Retinal nerve fiber layer thickness.

3.3 Quality assessment

All the 19 studies showed relatively low attention to bias concerns. There were no sufficiently clear descriptions of key methodological aspects, such as random allocation and concealment of allocation. The experimenters were inevitably aware of whether the animals received stem cell transplantation, and in the absence of clear statements on whether the subjects were randomly assigned to treatment groups, all of which might have contributed to certain biases. Nevertheless, all studies included here provided relatively detailed reports of their research processes. Therefore, their methodological quality could be considered reliable and acceptable (Table 2; Figures 2, 3).

TABLE 2

Studies included
Guo et al. (2012)UUUUUUULLL
Sihota et al. (2019)UUUUUUULLL
Liu et al. (2021)UUULUUULLL
Zhao et al. (2011)UUULUUULLL
Evangelho et al. (2024)UUUUUUULLL
Emre et al. (2015)UUUUUUULLL
Li et al. (2018)UUULUUULLL
Gu et al. (2016)UUULUUULLL
Zhou (2013)UUULUUULLL
Yu et al. (2023)UUUUUUULLL
Manuguerra-Gagné et al. (2013)UUUUUUULLL
Mead et al. (2016)UUUUUUULLL
Roubeix et al. (2015)UUUUUUULLL
Hu et al. (2013)UUUULUULLL
Tian et al. (2020)UUULUUULLL
Johnson et al. (2014)UUUUUUULLL
Bull et al. (2009)ULUUUUULLL
Liu (2006)UUULUUULLL
Wang (2004)UUULUUULLL

Assessment of bias risk in the included studies.

①Random sequencing; ②Baseline characteristics; ③Allocation concealment; ④Random housing; ⑤Blinding of participants and personnel; ⑥Random outcome assessment; ⑦Blinding of outcome assessment; ⑧Complete outcomes; ⑨Complete outcome reporting; ⑩Other bias. H, high risk of bias; L, low risk of bias; U, uncertain.

FIGURE 2

A table with rows labeled with author names and years, assessing bias across several categories: random sequence generation, baseline characteristics, allocation concealment, random housing, blinding of participants/personnel, and outcome assessment. Each cell contains a colored circle: yellow or green, indicating different levels of bias or risk.

Review of authors’ judgement about each risk of bias item for each study included. Rows correspond to individual studies, while columns represent the assessment items. A question mark (?) denotes an unclear risk of bias, while a plus sign (+) indicates a low risk of bias.

FIGURE 3

Bar chart indicating bias risk in various study parameters. Each bar is color-coded: green for low risk, yellow for unclear risk, and red for high risk. Parameters include random sequence generation, baseline characteristics, allocation concealment, and others. Most bars show a high proportion of unclear bias, with some low risk and few high-risk segments.

Review of authors’ judgement about each risk of bias item presented as percentages across all included studies. Rows represent different assessment categories, with the length of color-coded bar segments in each row corresponding to their respective percentages.

3.4 Effect on IOP

The control of IOP is a crucial parameter during glaucoma treatment. With transplantation and control groups established, two studies measured the changes in IOP at the third week, and three studies at the fourth week, involving 72 rats and 15 rabbits. According to the meta-analysis inter-group comparison revealed a statistically significant difference at both the third week [MD = −1.55, 95% CI (−2.62, −0.47), P = 0.005, I2 = 0%, Figure 4, Supplementary Figure S1], and the fourth week (MD = −1.29, 95% CI (−1.61, −0.96), P < 0.001, I2 = 42%, Figure 5, Supplementary Figure S2). Therefore, stem cell transplantation resulted in lower IOP at both the third and fourth weeks.

FIGURE 4

Forest plot showing results from two studies, Christophe 2015 and Karine 2024, comparing experimental and control groups. Study means, standard deviations, and total participants are provided. The mean difference favors the experimental group overall, with an effect size of -1.55 and a confidence interval from -2.62 to -0.47. Heterogeneity is low, with a Chi-squared value of 0.74 and 0% I-squared. Overall significance is Z = 2.82 (P = 0.005).

The forest plot showed a decrease in intraocular pressure in the stem cell transplant group at the third week.

FIGURE 5

Forest plot depicting the mean difference of experimental and control groups across four studies. Each study shows varying weights and confidence intervals. The overall mean difference is negative, favoring the experimental group. Heterogeneity is moderate with an I² of 42%. The plot indicates a significant overall effect (Z = 7.77, P < 0.00001).

The forest plot showed a decrease in intraocular pressure in the stem cell transplant group at the fourth week.

3.5 Effect on RGC count

The progressive loss of RGCs is also a critical component of the pathogenesis of glaucoma. Three studies, two studies, and two studies respectively measured the changes in RGC count at the second, third, and fourth weeks in the two groups, involving 96 rats. Consequently, inter-group comparison showed statistically significant differences at the second week (MD = 23.06, 95% CI (18.22, 27.89), P < 0.001, I2 = 0%, Figure 6, Supplementary Figure S3), the third week (MD = 21.44, 95% CI (9.03, 33.85), P = 0.001, I2 = 0%, Figure 7, Supplementary Figure S4), and the fourth week (MD = 231.81, 95% CI (188.80, 274.81), P < 0.001, I2 = 0%, Figure 8, Supplementary Figure S5). Collectively, stem cell transplantation would elevate RGC count at the second, third, and fourth weeks.

FIGURE 6

Forest plot analyzing mean differences between experimental and control groups across three studies by Haoran Liu 2006, XU LI 2017, and Zhimin Gu 2016. Each study's weight and mean difference are shown. The overall effect size is 23.06 with a confidence interval of 18.22 to 27.89. Heterogeneity is low with a Chi² of 1.59, a p-value of 0.45, and an I² of 0 percent. The test for overall effect shows a significant Z-value of 9.35 with a p-value less than 0.00001.

The forest plot shows an increase in RGC count in the stem cell transplant group at the second week.

FIGURE 7

Forest plot showing two studies comparing an experimental and control group. The mean difference for Haoran Liu 2006 is 47.00, with a 95% confidence interval of -6.79 to 100.79. For XU LI 2017, it is 20.00, with a confidence interval of 7.25 to 32.75. The overall effect shows a mean difference of 21.44, with a confidence interval of 9.03 to 33.85. Heterogeneity is indicated by Chi-square = 0.92 and I-squared = 0%. The Z-test for overall effect is 3.39 with a p-value of 0.0007. The plot depicts bars favoring experimental and control groups.

The forest plot shows an increase in RGC count in the stem cell transplant group at the third week.

FIGURE 8

Forest plot showing three studies comparing experimental and control groups. Each study lists mean, standard deviation, total participants, and weight. Mean differences with confidence intervals are presented. Heterogeneity: Chi² = 1.06, df = 2 (P = 0.59), I² = 0%. Overall effect Z = 10.56 (P < 0.00001). The plot shows a diamond indicating combined mean difference of 231.81 with a confidence interval of [188.80, 274.81].

The forest plot shows an increase in RGC count in the stem cell transplant group at the fourth week.

3.6 Effect on retinal BDNF expression

Three studies and two studies respectively compared the expression of retinal BDNF at the second and fourth weeks between groups, involving a total of 64 rats. Meta-analysis results showed, statistically significant inter-group differences at the second week (MD = 0.75, 95% CI (0.67, 0.83), P < 0.001, I2 = 60%, Figure 9, Supplementary Figure S6), and the fourth week (MD = 2.65, 95% CI (2.36, 2.95), P < 0.001, I2 = 45%, Figure 10, Supplementary Figure S7). Based on these findings, stem cell transplantation would upregulate the retinal BDNF expression at both the second and fourth weeks.

FIGURE 9

Forest plot showing a meta-analysis of three studies comparing experimental and control groups. The studies have weighted mean differences with confidence intervals: Zhimin Gu 2016 (0.93 [0.52, 1.34]), Xia Zhou 2012 (0.90 [0.73, 1.07]), Tantai Zhao 2011 (0.70 [0.61, 0.79]). The overall effect size is 0.75 [0.67, 0.83]. Heterogeneity statistics include Chi-squared of 4.97, degrees of freedom 2, p-value 0.08, and I-squared 60 percent. Test for overall effect yields Z = 18.63, p < 0.00001. The plot favors the experimental group.

The forest plot showed that retinal BDNF expression was upregulated in the stem cell transplant group at the second week.

FIGURE 10

Forest plot from a meta-analysis comparing experimental and control groups. Two studies are included: Haoran Liu 2006 and Tantai Zhao 2011. Both studies show a positive mean difference favoring the experimental group. The overall effect size is 2.65 with a 95% confidence interval of 2.36 to 2.95. Heterogeneity chi-square is 1.82 with one degree of freedom, and I-squared is 45%. The plot shows the mean differences and confidence intervals, with the summary effect also displayed.

The forest plot showed that retinal BDNF expression was upregulated in the stem cell transplant group at the fourth week.

3.7 Effect on retinal GDNF expression

The expression of retinal GDNF at the first, second, third, and fourth weeks were compared respectively in three studies, two studies, two studies, and two studies, involving a total of 54 rats. As indicated by the meta-analysis, statistically significant differences between groups were observed at the first week (MD = 0.34, 95% CI (0.27, 0.41), P < 0.001, I2 = 21%, Figure 11, Supplementary Figure S8), the second week (MD = 0.55, 95% CI (0.45, 0.65), P < 0.001, I2 = 0%, Figure 12, Supplementary Figure S9), the third week (MD = 1.27, 95% CI (1.18, 1.35), P < 0.001, I2 = 0%, Figure 13, Supplementary Figure S10), and the fourth week (MD = 0.88, 95% CI (0.76, 1.00), P < 0.001, I2 = 0%, Figure 14, Supplementary Figure S11). All together, stem cell transplantation would elevate the retinal GDNF expression at the first, second, third, and fourth weeks.

FIGURE 11

Forest plot showing mean differences between experimental and control groups across three studies: Haoran Liu 2006, Tantai Zhao 2011 (two entries). The combined mean difference is 0.34 with a 95% confidence interval of 0.27 to 0.41. Heterogeneity is low with I² at 21%. Individual studies display varied weight percentages, but overall results favor the experimental group.

The forest plot shows that retinal GDNF expression was up-regulated in the stem cell transplant group at the first week.

FIGURE 12

Forest plot showing the mean difference in outcomes between experimental and control groups across two studies by Haoran Liu (2006) and Tantai Zhao (2011). Both studies report a mean difference of 0.55 with different confidence intervals but agree in favoring experimental treatment. The total effect size is 0.55 [0.45, 0.65] with no heterogeneity (I² = 0%).

The forest plot shows that retinal GDNF expression was up-regulated in the stem cell transplant group at the second week.

FIGURE 13

Forest plot showing the mean difference between experimental and control groups for two studies: Haoran Liu 2006 and Tantai Zhao 2011. Combined mean difference is 1.27 with a 95% confidence interval of [1.18, 1.35], favoring the experimental group. Heterogeneity is low with I² = 0%.

The forest plot shows that retinal GDNF expression was up-regulated in the stem cell transplant group at the third week.

FIGURE 14

Forest plot comparing experimental and control groups from two studies. The mean differences are 0.70 and 0.90 with a total mean difference of 0.88. Heterogeneity statistics show Chi² = 0.98, with an I² = 0%. The overall effect is significant with Z = 14.83, p < 0.00001, favoring the experimental group.

The forest plot shows that retinal GDNF expression was up-regulated in the stem cell transplant group at the fourth week.

3.8 Effect on nerve fiber layer thickness

Two studies compared the nerve fiber layer thickness between groups, involving 12 rats and 24 rabbits. Meta-analysis results showed a statistically significant difference between groups (MD = 10.69, 95% CI (9.44, 11.94), P < 0.001, I2 = 0%, Figure 15, Supplementary Figure S12), supporting higher nerve fiber layer thickness in the stem cell transplantation group.

FIGURE 15

Forest plot comparing two studies. BEN MEAD 2 2015 shows a mean difference of 10.30 with a 95% CI of 8.78 to 11.82 and a weight of 68%. Rui Liu 2020 shows a mean difference of 11.52 with a 95% CI of 9.31 to 13.73 and a weight of 32%. The overall mean difference is 10.69 with a 95% CI of 9.44 to 11.94. Heterogeneity is low with Chi² = 0.79 and I² = 0%. Test for overall effect has Z = 16.74, P < 0.00001. The plot favors the experimental group.

The forest plot showed that the thickness of the nerve fiber layer in the stem cell transplantation group was higher than that in the control group.

3.9 Effect on retinal IGF-1 expression

Two studies compared inter-group difference in the expression of retinal IGF-1, involving 16 rats. A statistically significant difference was found between groups (MD = 0.49, 95% CI (0.39, 0.58), P < 0.001, I2 = 40%, Figure 16, Supplementary Figure S13). It can be concluded that stem cell transplantation would increase retinal IGF-1 expression.

FIGURE 16

Forest plot showing the mean differences between experimental and control groups in two studies. Xia Zhou 2012 has a mean difference of 0.41, and Zhimin Gu 2016 has 0.54. The overall mean difference is 0.49 with a 95% confidence interval of 0.39 to 0.58. Heterogeneity is indicated with Chi-squared equal to 1.66 and I-squared at 40%. The test for overall effect shows Z equal to 9.82, p-value less than 0.00001. Zero line indicates no difference, and markers show favored group.

The forest plot shows an increase in retinal IGF-1 expression in the stem cell transplantation group.

3.10 Stem cell migration, differentiation, and integration

For further investigation, we focused on 7 relevant studies, involving 94 rats and 62 rabbits, all of which performed descriptive analysis of the results. Guo Liyun et al. reported a 5-month-survival of transplanted cells attached to the lens after transplantation of neural stem cells (NSCs) into the vitreous body of the rabbit eye. The results of R’s study showed that stem cell injection retained the trabecular bundle structure at 4 weeks post-operation compared to the processing of without stem cell injection, with the trabecular gap widening; and the transplanted stem cells survived in the trabecular tissue for 4–12 weeks. Emre et al. found that, at 2 weeks post-transplantation, adipose-derived mesenchymal stem cells (ATMSCs) and BMSCs integrated into the ganglion cell layer and inner nuclear layer of the host retina; and at 4 weeks, ATMSCs were integrated into the ganglion cell layer. Wang Lufei et al. demonstrated that the transplanted cells survived for at least 30 days in the subretinal space and integrated with the host retinal structure when implementing subretinal transplantation of BMSCs. Further analysis showed that these BMSCs expressed the neuronal cell-specific marker protein P55, suggesting their potential differentiation into neuronal cells. In another study on migration and differentiation behaviors of retinal stem cells (RSCs) by Zhou Xia et al., RSCs were distributed throughout the retinal surface by 14 days after vitreous transplantation, with a higher density near the injection site. Confocal microscopy observations indicated that RSCs fused into the host retina’s nerve fiber layer and ganglion cell layer. Manuguerra-Gagné et al. found that transplanted mesenchymal stem cells (MSCs) showed short-term survival in the anterior chamber and exhibited specific migratory abilities. At the laser injury site, a large number of labeled MSCs were detected 24 h post-transplantation, while the cell count in the intact region was only half of that in the laser injury area. At 96 h post-transplantation, MSCs were difficult to detect in the anterior chamber, suggesting their possible clearance by host ocular macrophages. In addition, Bull et al. reported that oligodendrocyte precursor cells (OPCs) transplanted into the vitreous survived for 4 weeks, but only a small number of cells differentiated into myelinated oligodendrocytes expressing myelin basic protein, while a few OPCs initiated differentiation into neurons and astrocytes within the eye.

3.11 Adverse reactions

Four studies involving 154 rats and 22 rabbits were conducted to observe the presence of any adverse reactions. All four studies performed descriptive analysis of the results. The study by Ramanjit et al. showed that in rabbits with a glaucoma model induced by laser photocoagulation of the aqueous humor outflow region, no evidence of inflammation, IOP changes (±2 mmHg or greater), or lens opacification was observed in any of the eyes injected with human umbilical cord blood stem cells (hUCBSCs). Tantai et al. found no abnormal appearances or rejection responses in the rats during the first, second, third or fourth week post-transplantation in a glaucoma model created by mechanical optic nerve injury, without death of all rats. Emre et al. reported no intraocular tumor formation at 2 and 4 weeks post-transplantation after stem cell transplantation in a glaucoma model established by anterior chamber injection of sodium hyaluronate. Wang Lufei et al. concluded no rejection or intraocular infection occurred at 10, 20, or 30 days after stem cell transplantation in a model of ischemia-reperfusion created by anterior chamber injection of Ringer’s solution.

4 Discussion

Glaucoma is characterized by the progressive degeneration of RGCs, which has been accepted to be one major cause of irreversible blindness worldwide. Factors such as oxidative stress and neuroinflammation play critical roles in the pathogenesis of glaucoma (Vohra et al., 2013; Fan et al., 2021). Currently, glaucoma is generally treated by lowering IOP, but many patients, even with effective IOP control, still experience irreversible optic nerve damage and vision loss. Therefore, it is of paramount importance for implementing effective measures to protect RGCs, particularly for the preservation of optic nerve function. Stem cells have recently gained widespread attention due to their high regenerative and differentiation potential (Dahlmann-Noor et al., 2010; Lin et al., 2019). So far, effective treatment strategies have not been widely applied, despite significant research progress. Existing studies were conducted based on the establishment of specific animal models, mainly exploring the effects of stem cells on IOP regulation (Son et al., 2023). There is insufficient data on the comprehensive role in optic nerve repair, neuroprotection, and functional recovery. Therefore, to solid foundation for future clinical use, it is pivotal for evaluating the efficacy and safety of this treatment in related trials to advance the clinical application potential of stem cell therapy in glaucoma treatment (Wang et al., 2024).

This study included 19 RCTs in three common animal models (e.g., rats, rabbits, and mice) of glaucoma to confirm the efficacy and safety of stem cell therapy systematically. In terms of efficacy, stem cell transplantation was effective in controlling IOP and improving RGC function. It could increase the expression of BDNF, GDNF, and IGF-1 in the retina, and improve retinal nerve fiber layer thickness to some extent. For further elucidation of the biological implications of stem cell transplantation, this study demonstrated that cell type and delivery route critically regulated survival duration, spatial localization, and differentiation potential (e.g., stem cells can differentiate into neuronal cells, myelinated oligodendrocytes, and astrocytes). Transplanted stem cells exhibited therapeutic capabilities through the expression of neuronal markers, chemotactic migration toward injury sites, retinal structural integration, and modulation of pathological microenvironments. In addition, no adverse reaction was reported in all studies included in this meta-analysis, further confirming its safety for glaucoma treatment. These findings challenge the previously conservative views on the safety of stem cell therapy, holding significant clinical application value.

Compared to most studies (Emre et al., 2023; Zhou et al., 2013; Ching et al., 2019; Chen et al., 2022), this research validated the efficacy of stem cell transplantation across multiple animal models, which can control IOP, repair retinal nerve damage, and enhance optic nerve function. Moreover, this study provides further evidence that this therapy can contribute to optic nerve protection and regeneration by promoting neurotrophic factor expression and increasing retinal nerve fiber layer thickness, in addition to effectively regulating IOP. Finally, we acquire more reliable evidence for the safety of stem cell therapy in glaucoma treatment. Collectively, this study provides important references for future research in this field and lays the foundation for clinical translation of stem cell therapy.

Previous studies have investigated the protective effects and safety of stem cell transplantation on optic nerve changes in rat glaucoma models (Liu et al., 2019). However, these studies primarily focused on rat models and presented relatively outdated data. In contrast, the present study offers significant innovation and advancement in several aspects. First, this study incorporates the latest experimental data, with notable improvements in both the quantity and quality of the data, covering a range of animal models including rats, mice, and rabbits. This broadens the generalizability and extrapolation of the findings. Additionally, this research provides a more comprehensive exploration of the effects of stem cell transplantation in the treatment of glaucoma, extending beyond the changes in the optic nerve to a broader perspective. Therefore, the present study expands on previous research in terms of both the choice of animal models and the scope of investigation, offering more extensive data to support the safety and efficacy of stem cell therapy for glaucoma.

Even so, there are still certain limitations in this meta-analysis. Firstly, there were relatively limited animal models, and since these models differ from human ocular structures and disease mechanisms, which might compromise stem cell treatment outcomes. Secondly, heterogeneous results might generate owing to differences in the type, dosage, and method of stem cell therapy. Additionally, there might be risks of selection bias, implementation bias, and subjective outcome measure bias due to variations in the quality of relevant literature and experimental methods when selecting eligible studies for meta-analysis. Lastly, due to inadequate monitoring of the long-term effect of stem cell transplantation, there might be a lack of comprehensive evaluation of potential pathogenic risks. Future studies should consider using a wider range of animal models, particularly primates, to better decipher human pathological characteristics. Moreover, standardized protocols should be established for the selection of stem cell types and dosages to reduce heterogeneity. It is crucial to improve literature selection criteria and quality control, while addressing possible long-term risks of this therapy.

5 Conclusion

Stem cell transplantation shows potential benefits in the treatment of glaucoma, with promising safety and efficacy. However, sufficient long-term, systematic data is required for further validation due to the limited number and average quality of current studies. Therefore, future large-scale, high-quality experimental studies should be conducted to further validate these findings and provide more robust scientific evidence.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author contributions

DW: Writing – original draft. YL: Writing – original draft. XZ: Writing – original draft. RZ: Writing – original draft. SW: Writing – review and editing. HL: Writing – review and editing. TY: Writing – review and editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

The authors would like to than the editors and reviewers for their insightful comments and suggestions to improve earlier drafts of this article.

Conflict of interest

The authors declare that the study was conducted without any commercial or financial relationship that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2025.1587440/full#supplementary-material

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Summary

Keywords

stem cells, glaucoma, meta-analysis, randomized controlled trials, animal experiment

Citation

Wu D, Liu Y, Zhang X, Zhang R, Wang S, Lu H and Yue T (2025) Efficacy and safety of stem cells in the treatment of glaucoma: systematic review and meta-analysis based on animal experiments. Front. Pharmacol. 16:1587440. doi: 10.3389/fphar.2025.1587440

Received

07 March 2025

Accepted

18 June 2025

Published

01 July 2025

Volume

16 - 2025

Edited by

Poongodi Geetha-Loganathan, State University of New York at Oswego, United States

Reviewed by

Prashant singh Chauhan, National Institutes of Health (NIH), United States

Rana Shoaib, Children’s Hospital of Los Angeles, United States

Updates

Copyright

*Correspondence: Hui Lu, ; Tao Yue,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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