Evidence map›Paper›PMID 32152438›Full record

ArticleActa pharmacologica Sinica2020

Protein tyrosine phosphatase L1 represses endothelial-mesenchymal transition by inhibiting IL-1β/NF-κB/Snail signaling.

Xiao-Min Wei, Gulinuer Wumaier, Ning Zhu, Liang Dong, Cheng-Wei Li, Jing-Wen Xia, You-Zhi Zhang, Peng Zhang, Xiu-Juan Zhang, Yuan-Yuan Zhang and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. NF-κB and pulmonary hypertension: Advances in mechanistic research and therapeutic applications.American heart journal plus : cardiology research and practice · 2025
    Review
  6. Signaling pathways and targeted therapy for pulmonary hypertension.Signal transduction and targeted therapy · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Endothelial-to-mesenchymal transition in systemic sclerosis.Clinical and experimental immunology · 2021
    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

11 authors at 2 institutions in 1 country.

Xiao-Min Wei *Department of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Gulinuer Wumaier *Department of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Ning ZhuDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Liang DongDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Cheng-Wei LiDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jing-Wen XiaDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
You-Zhi ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Peng ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xiu-Juan ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Yuan-Yuan ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Sheng-Qing LiDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China. shengqingli@hotmail.com.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endothelial-mesenchymal transition (EnMT) plays a pivotal role in various diseases, including pulmonary hypertension (PH), and transcription factors like Snail are key regulators of EnMT. In this study we investigated how these factors were regulated by PH risk factors (e.g. inflammation and hypoxia) in human umbilical vein endothelial cells (HUVECs). We showed that treatment with interleukin 1β (IL-1β) induced EnMT of HUVECs via activation of NF-κB/Snail pathway, which was further exacerbated by knockdown of protein tyrosine phosphatase L1 (PTPL1). We demonstrated that PTPL1 inhibited NF-κB/Snail through dephosphorylating and stabilizing IκBα. IL-1β or hypoxia could downregulate PTPL1 expression in HUVECs. The deregulation of PTPL1/NF-κB signaling was validated in a monocrotaline-induced rat PH (MCT-PH) model and clinical PH specimens. Our findings provide novel insights into the regulatory mechanisms of EnMT, and have implications for identifying new therapeutic targets for clinical PH.

Indexed as

AnimalsCell TransdifferentiationDown-RegulationGene Knockdown TechniquesHumansHuman Umbilical Vein Endothelial CellsHypertension, PulmonaryInterleukin-1betaMaleMonocrotalineNF-KappaB Inhibitor alphaNF-kappa B p50 SubunitProtein Tyrosine Phosphatase, Non-Receptor Type 13Rats, Sprague-DawleySignal TransductionSnail Family Transcription FactorsIL1B protein, humanInterleukin-1betaMonocrotalineNF-KappaB Inhibitor alphaNF-kappa B p50 SubunitNFKB1 protein, humanProtein Tyrosine Phosphatase, Non-Receptor Type 13PTPN13 protein, humanSNAI1 protein, humanSnail Family Transcription Factorsendothelial–mesenchymal transition (EnMT)human umbilical vein endothelial cells (HUVECs)NF-κBprotein tyrosine phosphatase L1 (PTPL1)pulmonary hypertension

Identifiers

PMID32152438
PMCPMC7470836
OpenAlexW3011138368

What OpenQuestion holds

Textmetadata
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.