Evidence mapPaperPMID 40418216Full record

ArticleJournal of cellular and molecular medicine2025

Qianshi Mixture Treats Diabetic Nephropathy by Regulating Lipid Metabolism Reprogramming and Inhibiting Oxidative Stress Damage.

Jian Liu, Boning Liu, Enzhi Fan, Han Zhang, Zhonglai Yin, Shuquan Lv, Weibo Wen, Feitian Min, Zhongyong Zhang, Huantian Cui

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Jian LiuDepartment of Chinese Medicine, Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei, Cangzhou, China.
Boning LiuDepartment of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Enzhi FanDepartment of Graduate School, Shanxi University of Chinese Medicine, Taiyuan, China.
Han ZhangDepartment of Graduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Zhonglai YinDepartment of Chinese Medicine, Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei, Cangzhou, China.
Shuquan LvDepartment of Endocrinology, Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei, Cangzhou, China.
Weibo WenDepartment of First Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China.
Feitian MinDepartment of First Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China.
Zhongyong ZhangDepartment of Endocrinology, Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei, Cangzhou, China.
Huantian CuiDepartment of First Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China.ORCID 0000-0002-0820-5436

Funding

Hebei Province famous traditional Chinese medicine inheritance studio construction project 37 [2024]the Hebei Provincial Administration of Traditional Chinese Medicine 2022 Traditional Chinese Medicine research 12 [2021]the Key Laboratory for Diabetic Kidney Disease Syndrome and Treatment of the Traditional Chinese Medicine Administration 7 [2024]the Natural Science Foundation of Hebei Province H2022110019
6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a major complication of diabetes that can advance to end-stage renal disease, posing a substantial health risk. The Qianshi Mixture (QSM) has shown therapeutic potential for DN; however, its pharmacological mechanisms remain insufficiently understood. We developed a DN model in mice and administered QSM as an intervention. To assess QSM's therapeutic effects, we measured the renal-function-related biochemical indicators and examined kidney pathological changes. We then applied transcriptomics and non-targeted metabolomics to explore QSM's impact on gene expression and metabolic products within DN mice renal tissues. Based on our multi-omics analysis, the effect of QSM on lipid-metabolism-related protein expression was confirmed by western blot in kidney tissue. Additionally, we evaluated the antioxidant and anti-apoptotic properties of QSM by measuring oxidative stress indicators. QSM intervention improved hyperglycemia and proteinuria in DN mice. It also reduced key markers of renal dysfunction whilst alleviating pathological changes in kidney tissue. Through transcriptomic and metabolomic analyses, we identified that QSM affected genes and metabolites involved in lipid metabolism pathways. Notably, differentially expressed genes included Ces2h, Ces1f and Alox5, whilst metabolites such as EPA, 9-Oxo-ODE and LPC (20:3) were altered. Further validation revealed that QSM increased the protein levels of CES2H and CES1F whilst decreasing the expression of FABP1, CD36, ALOX15 and ALOX5. Additionally, QSM reduced oxidative stress markers. QSM inhibited both oxidative stress and apoptosis in kidney tissues. QSM protects renal tissues in DN, likely through the regulation of lipid metabolism and the mitigation of oxidative stress damage.

Indexed as

Diabetic NephropathiesDrugs, Chinese HerbalLipid MetabolismOxidative StressAnimalsApoptosisDiabetes Mellitus, ExperimentalDisease Models, AnimalKidneyMaleMetabolic ReprogrammingMetabolomicsMiceMice, Inbred C57BLDrugs, Chinese Herbaldiabetic nephropathylipid metabolism reprogrammingoxidative stresspharmacological mechanismQianshi mixture

Identifiers

PMID40418216
PMCPMC12105581

What Socratic holds

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LicenceCC BY
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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 Socratic graph.