Evidence map›Paper›PMID 41704706›Full record

ArticleFrontiers in medicine2026

Hydroxysafflor Yellow A improves diabetic nephropathy by inhibiting PI3K/AKT/mTOR pathway based on a multidimensional study.

Jie Liu, Jie Gao, Zhibin Jiang, Wen Li, Ping Zhang, Xingde Liu, Bingqing Lyu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jie LiuDepartment of Basic Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Jie GaoDepartment of Basic Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Zhibin JiangDepartment of Basic Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Wen LiDepartment of Basic Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Ping ZhangDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Xingde LiuDepartment of Cardiology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Bingqing LyuDepartment of Basic Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic nephropathy (DN) remains a global health burden. This study integrates multiple approaches to investigate the therapeutic effects of Hydroxysafflor Yellow A (HSYA) in DN. Methods: SwissTargetPrediction and PharmMapper were used to predict HSYA targets. GeneCards and OMIM databases were used to identify targets associated with DN. The STRING database was used to construct the protein-protein interaction (PPI) network of key targets, and Cytoscape was applied to identify the core targets within the PPI network. GO and KEGG enrichment analyses of key targets were performed using the Metascape database. Molecular docking analyses of HSYA with core targets were performed using AutoDock Vina. The DN model was established using db/db mice fed a normal diet, with db/m mice serving as controls. Renal fibrosis was assessed by immunohistochemistry, and qPCR detected core targets and key signaling pathways. Results: We identified 236 key targets. GO and KEGG analyses were significantly enriched in the PI3K-Akt, Ras, AGE-RAGE, FoxO, mTOR, and autophagy signaling pathways. HSYA exhibited strong binding affinity with AKT1, PI3K, and mTOR. Conclusion: This study provides preliminary evidence that HSYA may alleviate DN by improving renal fibrosis and modulating autophagy, thereby establishing a theoretical basis for its development as a potential therapeutic agent.

Indexed as

diabetic nephropathyHydroxysafflor Yellow Ain vivomolecular dynamicsnetwork pharmacology

Identifiers

PMID41704706
PMCPMC12907178

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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.