Evidence map›Paper›PMID 40682478›Full record

ArticleJournal of cellular and molecular medicine2025

Daqinjiao Decoction Ameliorates CSVD via RXR-γ/PPAR-γ/VEGF-α Pathway: Insights From Transcriptome Sequencing and Network Pharmacology.

Mengna Lv, Xiaolu Yang, Xiaolu Shi, Shengxuan Cao, Wenjie Li, Mingmei Zhou, Xiaojun Gou, Ying Huang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mengna LvInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaolu YangCentral Laboratory, Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaolu ShiExperimental Research Center, Beijing Key Laboratory of Research of Chinese Medicine on Prevention and Treatment for Major Diseases, China Academy of Chinese Medical Sciences, Beijing, China.
Shengxuan CaoExperimental Research Center, Beijing Key Laboratory of Research of Chinese Medicine on Prevention and Treatment for Major Diseases, China Academy of Chinese Medical Sciences, Beijing, China.
Wenjie LiExperimental Research Center, Beijing Key Laboratory of Research of Chinese Medicine on Prevention and Treatment for Major Diseases, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0002-1085-5577
Mingmei ZhouInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-2552-4754
Xiaojun GouCentral Laboratory, Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ying HuangExperimental Research Center, Beijing Key Laboratory of Research of Chinese Medicine on Prevention and Treatment for Major Diseases, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences CI2021A05014Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences CI2021B017-15The Fundamental Research Funds for the Central Public Welfare Research Institutes JJPY2022024
6 · The paper itself

Abstract

Daqinjiao decoction (DQJD), an ancient traditional Chinese medicine formula, is clinically used in the treatment of cerebral small vessel disease (CSVD). However, the underlying molecular mechanisms by which DQJD exerts its therapeutic effects on CSVD remain elusive. A Sprague Dawley rat model of chronic cerebral hypoperfusion (CCH) was established using bilateral common carotid artery occlusion (BCCAO) surgery. The effects of DQJD administered via intragastric gavage (i.g.) were evaluated by magnetic resonance imaging (MRI), haematoxylin eosin (HE) staining, and transmission electron microscopy. A combined strategy of transcriptomics and network pharmacology was innovatively applied to study the active ingredients, gene targets, and mechanisms of DQJD in treating CSVD. Molecular docking, real-time quantitative polymerase chain reaction (RT-qPCR), and Western blot analysis were applied to confirm the above results further. DQJD improved the pathological damage in cortical and hippocampal tissue by reducing the release of inflammatory factors in CCH rats. RNA-seq technology identified 46 DEGs between DQJD treatment and the model group. Network pharmacology and pathway analysis of DEGs revealed that the PPAR/VEGF signalling pathway was predicted to be significantly affected. Consistently, validation experiments confirmed that activation of the RXR-γ/PPAR-γ/VEGF-α signalling pathway represents a key mechanism underlying DQJD's therapeutic effects against CSVD. DQJD dampened inflammation and ameliorated pathological damage in the hippocampus and cortex, and these beneficial effects were associated with neurovascular protection via activating the RXR-γ/PPAR-γ/VEGF-α pathway.

Indexed as

Cerebral Small Vessel DiseasesDrugs, Chinese HerbalPPAR gammaSignal TransductionTranscriptomeVascular Endothelial Growth Factor AAnimalsDisease Models, AnimalGene Expression ProfilingMaleMolecular Docking SimulationNetwork PharmacologyRatsRats, Sprague-DawleyDrugs, Chinese HerbalPPAR gammaVascular Endothelial Growth Factor Acerebral small vessel disease (CSVD)Daqinjiao decoction (DQJD)network pharmacologyRXR‐γ/PPAR‐γ/VEGF‐α pathwaytranscriptome sequencing

Identifiers

PMID40682478
PMCPMC12274961

What OpenQuestion 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 OpenQuestion graph.