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ArticleNaunyn-Schmiedeberg's archives of pharmacology2025

Mechanistic insights into Schisandrin C as the active anti-renal fibrosis ingredient of Schisandra chinensis: a network pharmacology analysis and transcriptomics integrated experimental verification.

Xinping Yang, Xijier Qiaolongbatu, Rui Shen, Yuting Wang, Wenjing Li, Li Wang, Chunyan Zhou, Taishan Wei, Zhenghua Wu

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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 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. Journal of inflammation research · 2026
    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

9 authors.

Xinping Yang *Engineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xijier Qiaolongbatu *Xinjiang Uygur Autonomous Region Center for Drug Evaluation and Inspection, Urumqi, 830002, Xinjiang, China.
Rui ShenEngineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yuting WangEngineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Wenjing LiEngineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Li WangEngineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Chunyan ZhouSchool of Pharmacy, Kunming Medical University, Kunming, 650500, China.
Taishan WeiEngineering Research Center of Cell & Therapeutic Antibody, Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhenghua WuDepartment of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China. wuzhenghua@sjtu.edu.cn.

Funding

Bethune Quest - Pharmaceutical research capacity Building Program Z04JKM202100Shanghai Scientific and Technological Committee 22S21902000
6 · The paper itself

Abstract

Schisandra chinensis (Turcz.) Baill (Sch) is a Traditional Chinese Medicinal (TCM) plant. It is divided into southern and northern. Sch is widely used in treating chronic kidney disease (CKD), which is primarily characterized by renal interstitial fibrosis. However, the knowledge of components in Sch that play a major role in treating renal fibrosis (RF) and its mechanism of action in vivo remains unclear. Here, the active ingredients of Sch for treating RF were initially identified through network pharmacological analysis and molecular docking technology. Cytological assays were conducted in vitro, and a gentamicin-induced zebrafish model was established to assess the anti-RF activity in vivo. Finally, the efficacy and mechanisms of these active components were further validated through transcriptomic analysis at the cellular level. Sch C has a stable combination (-8.69 kcal/mol) with Transforming Growth Factor Beta Receptor I (TGFBR1), which was identified as the main active ingredient of Sch in the treatment of RF. Transcriptomic and cell experiments revealed that Sch C inhibited the excessive accumulation of extracellular matrix (ECM) by regulating the TGF-β signaling pathway and PI3K-Akt signaling pathway, in which fibrosis markers CDH2 and α-SMA were significantly downregulated, and collagen expressions of COL3A1 and COL1A1 were reduced. In the zebrafish model, Sch C exhibited significant anti-fibrotic activity, suggesting its potential as a key anti-RF compound in Sch. This study significantly advances our understanding of the anti-fibrotic activity of Sch and elucidates its anti-RF mechanism. The findings provide a solid foundation for further research and development of effective anti-RF drugs derived from Sch.

Indexed as

Antifibrotic AgentsKidneyKidney DiseasesLignansPolycyclic CompoundsSchisandraAnimalsCyclooctanesDisease Models, AnimalFibrosisHumansMolecular Docking SimulationNetwork PharmacologySignal TransductionTranscriptomeZebrafishAntifibrotic AgentsCyclooctanesLignansPolycyclic CompoundsschizandrinNetwork pharmacology analysisRenal fibrosisSchisandrin CTranscriptomicsZebrafish

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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.