Evidence map›Paper›PMID 40998929›Full record

ArticleScientific reports2025

Integrative transcriptomic and metabolomic analysis explores mechanisms by which Astragalus membranaceus and Salvia miltiorrhiza ameliorates hypertensive renal damage.

Wenpeng Liu, Cong Han, Wanli Xu, Yanyun Jiang, Yao Liu

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Wenpeng Liu *College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Cong Han *Nephropathy Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Wanli XuCollege of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Yanyun JiangCollege of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Yao LiuCollege of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China. liuyao15689415998@163.com.

Funding

National Natural Science Foundation of China 82104620Scientific Research Fund Project of Shandong University of Traditional Chinese Medicine KYZK2024Q01
6 · The paper itself

Abstract

To explore the mechanism by which Astragalus membranaceus and Salvia miltiorrhiza (AS) regulates the "metabolic- transcriptional" co-expression network to improve Hypertensive renal damage (HRD). Spontaneously hypertensive rats (SHRs) were used to establish the model of HRD. The structure and function of the kidney were observed following AS intervention. We identified various metabolites in the kidneys using UHPLC-MS/MS and observed renal mRNA expression through RNA sequencing. The "metabolism-transcription" coexpression network was further constructed, and the target metabolites and target genes of AS were ultimately screened and validated. AS significantly reduced blood pressure, improved renal function and alleviated renal pathological damage in SHRs. A total of 596 target mRNAs of AS were identified. Of note, 254 of these mRNAs were expressed in 25 pathways that were closely related to metabolic processes. Additionally, the target metabolites of AS were determined, predominantly enriched in 8 pathways, including linoleic acid metabolism, cholesterol metabolism, choline metabolism in cancer, and the synthesis and degradation of ketone bodies, etc. In addition, the target metabolites and target mRNAs of AS were co-enriched in 3 specific pathways of linoleic acid metabolism, cholesterol metabolism, taurine and hypotaurine metabolism, involving 7 different metabolites and 18 differentially expressed (DE) mRNAs. The 7 metabolites exhibited high AUC prediction values, and the verification and sequencing results of the 4 genes were basically consistent. Conclusion The mechanisms by which AS improves HRD may be closely related to the regulation of linoleic acid metabolism, cholesterol metabolism and taurine and hypotaurine metabolism pathways as well as the relevant target genes.

Indexed as

Astragalus propinquusDrugs, Chinese HerbalHypertensionHypertension, RenalSalvia miltiorrhizaTranscriptomeAnimalsBlood PressureDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksKidneyMaleMetabolomeMetabolomicsRatsDrugs, Chinese HerbalAstragalus membranaceusHypertensive renal damageMechanismMetabolomicsSalvia miltiorrhizaTranscriptomic

Identifiers

PMID40998929
PMCPMC12464310

What Socratic holds

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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.