Evidence map›Paper›PMID 41268266›Full record

ArticleAmerican journal of translational research2025

Multi-target mechanism of 6-O-Caffeoylarbutin in hyperuricemia treatment through

Yang Zhang, Fanyi He, Kongchun Sun, Xuezhi Yu, Xiuzhen Chen, Li Zhou, Sheng Liu, Baochun Shen

Abstract read
In one paragraph

Article in American journal of translational research, 2025. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yang ZhangSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University Kunming 650500, Yunnan, China.
Fanyi HeDepartment of Public Laboratory, The Third People's Hospital of Kunming City, Infectious Disease Clinical Medical Center of Yunnan Province Kunming 650041, Yunnan, China.
Kongchun SunSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University Kunming 650500, Yunnan, China.
Xuezhi YuSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University Kunming 650500, Yunnan, China.
Xiuzhen ChenSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University Kunming 650500, Yunnan, China.
Li ZhouDepartment of Pharmacy, The Third People's Hospital of Yunnan Province Kunming 650011, Yunnan, China.
Sheng LiuDepartment of Pharmacy, The Third People's Hospital of Yunnan Province Kunming 650011, Yunnan, China.
Baochun ShenSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University Kunming 650500, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the therapeutic effects of 6-O-Caffeoylarbutin on hyperuricemia (HUA) and renal inflammation in a mouse model and explore its underlying multi-target mechanisms.

methodsA HUA mouse model was established using potassium oxonate and hypoxanthine. Mice were treated with 6-O-Caffeoylarbutin (100, 200, 300 mg/kg) or benzbromarone (10 mg/kg) for 14 days. Serum uric acid (SUA), creatinine, and xanthine oxidase (XOD) levels were measured. Renal injury and inflammation were assessed by H&E staining and ELISA for IL-1β, TNF-α, and IL-6. Network pharmacology and molecular docking predicted potential targets, which were validated by western blotting (WB).

resultsBoth 6-O-Caffeoylarbutin and benzbromarone significantly reduced renal tissue damage, tubular dilation, and interstitial edema by routine histology. In HUA mice, they also lowered SUA levels. ELISA showed significant reductions in IL-1β, TNF-α, and IL-6, indicating anti-inflammatory effects. Notably, the high-dose 6-O-Caffeoylarbutin group showed results comparable to benzbromarone. Network pharmacology identified six putative targets related to uric acid metabolism and inflammation, with molecular docking confirming stable binding. WB confirmed regulatory activity, showing reduced expression of XDH, SERPINE1, ALB, SLC37A4, SLC28A2, and HPRT1.

conclusion6-O-Caffeoylarbutin effectively reduces uric acid levels and alleviates renal inflammation in HUA mice through multi-target mechanisms, including inhibition of urate production, promotion of excretion, and anti-inflammatory activity. It shows promise as a natural therapeutic candidate for HUA.

Indexed as

6-O-CaffeoylarbutinHUAinflammationnetwork pharmacologyuric acid metabolism

Identifiers

PMID41268266
PMCPMC12628196

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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.