Evidence map›Paper›PMID 40698062›Full record

ArticleDrug design, development and therapy2025

Mechanistic Insights into Shenzhuo Formula for Diabetic Retinopathy: Integrating UPLC-Q-TOF-MS/MS, Network Pharmacology, Single-Cell RNA Sequencing Data, and Experimental Validation.

Xiaoyu Zang, Lili Zhang, Jing Ma, Anzhu Wang, Lu Ding, Yayun Wang, Jun Sun, Jing Li, Xing Hang, Xiangyan Li and 1 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Phenylethanoid Glycosides fromInternational journal of molecular sciences · 2026
    Article
  3. 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

11 authors.

Xiaoyu Zang *Changchun University of Chinese Medicine, Changchun, People's Republic of China.ORCID 0000-0003-1804-2885
Lili Zhang *Institute of Metabolic Diseases, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Jing Ma *Changchun University of Chinese Medicine, Changchun, People's Republic of China.
Anzhu Wang *National Center for Integrative Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0001-7101-2197
Lu DingChangchun University of Chinese Medicine, Changchun, People's Republic of China.
Yayun WangChangchun University of Chinese Medicine, Changchun, People's Republic of China.
Jun SunChangchun University of Chinese Medicine, Changchun, People's Republic of China.
Jing LiChangchun University of Chinese Medicine, Changchun, People's Republic of China.
Xing HangBeijing University of Chinese Medicine, Beijing, People's Republic of China.
Xiangyan LiChangchun University of Chinese Medicine, Changchun, People's Republic of China.ORCID 0000-0001-6780-6314
Linhua ZhaoInstitute of Metabolic Diseases, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.ORCID 0000-0002-0362-7365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: For early-stage Diabetic retinopathy (DR), various pharmacological agents and neuroprotective factors have been developed. However, these treatments often show limited efficacy, especially when initiated after retinal damage, and may cause adverse effects. Therefore, there is an urgent need to develop safer and more effective therapeutic strategies for early-stage DR. Shenzhuo Formula (SZF), a modified classical traditional Chinese medicine prescription, has shown promising clinical efficacy in early-stage DR treatment. This study aims to investigate the underlying mechanisms of SZF to expand treatment strategies for DR. Methods: SZF components were analyzed using Ultra Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry/Mass Spectrometry (UPLC-Q-TOF-MS/MS). Db/db mice received three different SZF doses for 12 weeks. Physiological parameters, including water and food consumption, body weight, and urine output, were monitored. Blood samples were analyzed for fasting blood glucose and other relevant parameters. Ocular changes were assessed using fundus photography (FP), fundus fluorescein angiography (FFA), optical coherence tomography (OCT) and hematoxylin and eosin (H&E). Network pharmacology analysis (NP) identified potential SZF targets, while immunofluorescence staining evaluated SZF's mechanism in delaying DR progression. The distribution of SZF pharmacological targets in critical DR target cells was analyzed using single-cell data from the GSE245561 dataset. Molecular docking predicted SZF-target interactions. Results: SZF improved diabetic symptoms, increased retinal thickness, and reducedvascular leakage and microcirculation issues. The HIF-1α-VEGFA axis was suggested as a potential core target. Single-cell analysis of clinical samples suggested macrophages as a common target cell for HIF-1α and VEGFA. Molecular docking identified effective SZF components. Conclusion: Results indicate that SZF may impede the progression of DR by inhibiting the HIF-1α-VEGFA signaling pathway in macrophages, with quercetin and apigenin identified as significant contributors, though further experimental validation is needed to confirm these mechanistic.

Indexed as

Diabetes Mellitus, ExperimentalDiabetic RetinopathyDrugs, Chinese HerbalAnimalsChromatography, High Pressure LiquidDose-Response Relationship, DrugMaleMiceMice, Inbred C57BLMolecular Docking SimulationNetwork PharmacologySingle-Cell AnalysisTandem Mass SpectrometryDrugs, Chinese Herbaldiabetic retinopathyHIF-1α/VEGFAmacrophagescRNA-seqShenzhuo formula

Identifiers

PMID40698062
PMCPMC12282605

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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.