Evidence map›Paper›PMID 41573716›Full record

SynthesisFrontiers in pharmacology2025

Neuroprotective effects of traditional Chinese medicine formulas in animal models of retinal degenerative diseases: a systematic review and meta-analysis.

Yunxi Xu, Qindong Mi, Qi Yong, Chao Xu, Dingmeng Zhao, Chuning Wang, Zhongshan Jiang, Chenghao Yu, Hejiang Ye

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Yunxi Xu *School of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qindong Mi *Department of Traditional Chinese Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi YongSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chao XuSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dingmeng ZhaoSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chuning WangSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhongshan JiangSchool of Ophthalmology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chenghao YuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Hejiang YeDepartment of Ophthalmology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Retinal degenerative diseases (RDDs) cause irreversible vision loss with limited treatment options. Traditional Chinese medicine (TCM) formulas have demonstrated neuroprotective effects, yet their overall efficacy lacks comprehensive meta-evidence. The aim of this study was to exploratively evaluate the neuroprotective effects of TCM formulas in animal RDD models. Methods: A comprehensive literature search was conducted across eight electronic databases to identify animal studies that evaluated the neuroprotective effects of TCM formulas on RDDs. Pairwise meta-analysis and Bayesian network meta-analysis (NMA) were performed to synthesize evidence on key outcomes: neural growth, glial activation, oxidative stress, apoptosis factors, and ophthalmological parameters. Treatment rankings were assessed using the surface under the cumulative ranking curve (SUCRA). Results: Twenty-four studies were included. The compositions and bioactive compounds of the TCM formulas have been defined and identified. Pairwise meta-analysis demonstrated that specific TCM formulas might exert neuroprotective effects on RDDs by regulating key biomarkers. Specifically, Zhen-Bao-Wan, Bu-Shen-Yi-Jing-Fang, and Qi-Shen-Yi-Qi pills modulated neural growth and glial activation by upregulating BDNF, CNTF, and reducing GFAP, respectively. Furthermore, Yi-Qi-Wen-Yang-Tong-Luo decoction, Zi-Yin-Ming-Mu decoction, and Yishi-Tablet suppressed oxidative stress and apoptosis by reducing SOD, retinal apoptotic cells and caspase-3, respectively. Additionally, Bu-Yang-Huan-Wu decoction improved retinal function by elevating ERG-a and ERG-b wave amplitudes. Subgroup analyses indicated that Bu-Yang-Huan-Wu decoction and Qu-Yu-Tong-Luo prescription exhibited superior efficacy in restoring retinal ganglion cell (RGC) counts and retinal thickness in specific RDD models. The NMA results indicated that the included TCM formulas exhibited target-specific and dose‒response trends, with different formulas showing preferential efficacy for distinct biomarkers. Given the limitations identified in this study, these findings should be interpreted as preliminary evidence to guide future research rather than as conclusive results. Future studies with rigorous experimental designs are needed to address these limitations and enhance translational relevance. Conclusion: This study provides preclinical and exploratory evidence that the included TCM formulas might exert neuroprotective effects on animal models of RDDs by modulating glial activation, promoting neuronal growth, and inhibiting oxidative stress and apoptosis. Additional high-quality preclinical studies are essential to validate these effects and inform future clinical translation. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251002491 identifier CRD420251002491.

Indexed as

apoptosismeta-analysisneuroprotectionoxidative stressretinal degenerative diseasestraditional Chinese medicine

Identifiers

PMID41573716
PMCPMC12819594

What OpenQuestion holds

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Registered trials

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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.