Evidence mapPaperPMID 40375539Full record

ArticleRenal failure2025

Inhibition of caspase-1 by ginsenoside Rg1 ameliorates d-gal-induced renal aging and injury through suppression of oxidative stress and inflammation.

Tingting Guo, Ting Xie, Xuejun Chen, Jingying Zhong, Zhenyu Bai, Huiyu Liang, Xiaoshan Zhao, Meixia Fang, Ya Xiao, Jun Zhang

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Tingting GuoDepartment of Nephrology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Ting XieSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Xuejun ChenSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Jingying ZhongSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Zhenyu BaiSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Huiyu LiangSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Xiaoshan ZhaoSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Meixia FangInstitute of Laboratory Animals, Jinan University, Guangzhou, China.
Ya XiaoSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Jun ZhangDepartment of Nephrology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disruption of renal cell homeostasis caused by aging has attracted considerable attention. A traditional Chinese medicine, ginseng, is a potential drug for treating aging-related diseases. The study investigates the effect and mechanism of ginsenoside Rg1, an active component of ginseng, on renal aging and injury. MATERIALS AND

methodsThe potential targets of ginsenoside Rg1 in relieving renal aging and injury were predicted using network pharmacology. d-Galactose (d-gal) was used to induce aging and mice were randomly divided into six groups: a wild-type control group, a wild-type d-gal group, and a wild-type d-gal with Rg1 group (20 mg/kg/d), a caspase-1

resultsNetwork pharmacology revealed that caspase-1 was one of the crucial targets.

conclusionThe findings in this study provide experimental support for the clinical application of ginsenoside Rg1 in kidney aging. The underlying mechanisms require further experimental validation.

Indexed as

AgingCaspase 1Caspase InhibitorsGinsenosidesKidneyOxidative StressAnimalsDisease Models, AnimalGalactoseInflammationMaleMiceMice, Inbred C57BLNetwork PharmacologyCasp1 protein, mouseCaspase 1Caspase InhibitorsGalactoseginsenoside Rg1Ginsenosidesanti-agingcaspase-1Ginsengoxidative stressrenal senescence

Identifiers

PMID40375539
PMCPMC12086920

What Socratic holds

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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 Socratic graph.