Evidence map›Paper›PMID 28260014›Full record

ArticleMolecular medicine reports2017

Baicalin ameliorates renal fibrosis via inhibition of transforming growth factor β1 production and downstream signal transduction.

Long Zheng, Chao Zhang, Long Li, Chao Hu, Mushuang Hu, Niyazi Sidikejiang, Xuanchuan Wang, Miao Lin, Ruiming Rong

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Biomolecules · 2025
    Review
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  6. Review
  7. Article
  8. Article
  9. Down-regulation of LINC00667 hinders renal tubular epithelial cell apoptosis and fibrosis through miR-34c.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Flavonoids in Kidney Health and Disease.Frontiers in physiology · 2018
    Review
  19. 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 at 4 institutions in 1 country.

Long ZhengDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Chao ZhangShanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Long LiDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Chao HuShanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Mushuang HuDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Niyazi SidikejiangDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Xuanchuan WangShanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Miao LinShanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Ruiming RongDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
The First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University · CNFudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have demonstrated the potential antifibrotic effects of baicalin in vitro, via examination of 21 compounds isolated from plants. However, its biological activity and underlying mechanisms of action in vivo remain to be elucidated. The present study aimed to evaluate the effect of baicalin on renal fibrosis in vivo, and the potential signaling pathways involved. A unilateral ureteral obstruction (UUO)‑induced renal fibrosis model was established using Sprague‑Dawley rats. Baicalin was administrated intraperitoneally every 2 days for 10 days. The degree of renal damage and fibrosis was investigated by histological assessment, and detection of fibronectin and collagen I mRNA expression levels. Epithelial‑mesenchymal transition (EMT) markers, transforming growth factor-β1 (TGF-β1) levels and downstream phosphorylation of mothers against decapentaplegic 2/3 (Smad2/3) were examined in vivo and in an NRK‑52E rat renal tubular cell line in vitro. Baicalin was demonstrated to markedly ameliorate renal fibrosis and suppress EMT, as evidenced by reduced interstitial collagen accumulation, decreased fibronectin and collagen I mRNA expression levels, upregulation of N‑ and E‑cadherin expression levels, and downregulation of α‑smooth muscle actin and vimentin expression. Furthermore, baicalin decreased TGF‑β1 expression levels in serum and kidney tissue following UUO, and suppressed Smad2/3 phosphorylation in rat kidney tissue. In vitro studies identified that baicalin may inhibit the phosphorylation of Smad2/3 under the same TGF‑β1 concentration. In conclusion, baicalin may protect against renal fibrosis, potentially via inhibition of TGF‑β1 production and its downstream signal transduction.

Indexed as

AnimalsDisease Models, AnimalEpithelial-Mesenchymal TransitionFibrosisFlavonoidsImmunohistochemistryKidneyKidney DiseasesMaleModels, BiologicalPhosphorylationRats, Sprague-DawleySignal TransductionSmad ProteinsTransforming Growth Factor beta1Ureteral ObstructionbaicalinFlavonoidsSmad ProteinsTransforming Growth Factor beta1

Identifiers

PMID28260014
PMCPMC5364985
OpenAlexW2587945689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.