Evidence map›Paper›PMID 33324218›Full record

ArticleFrontiers in pharmacology2020

Knockdown of LncRNA-H19 Ameliorates Kidney Fibrosis in Diabetic Mice by Suppressing miR-29a-Mediated EndMT.

Sen Shi, Li Song, Hao Yu, Songlin Feng, Jianhua He, Yong Liu, Yanzheng He

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 66 citations in OpenAlex.

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  12. The relationship between long noncoding RNAInternational journal of medical sciences · 2025
    Article
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  17. [The Role of TGF-β1/SMAD in Diabetic Nephropathy: Mechanisms and Research Development].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  18. Review
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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

7 authors at 1 institution in 1 country.

Sen ShiDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Li SongDepartment of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Hao YuDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Songlin FengDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Jianhua HeDepartment of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Yong LiuDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Yanzheng HeDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luhzou, China.
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy is the leading cause of kidney fibrosis. Recently, altered expressed or dysfunction of some long non-coding RNAs (lncRNAs) has been linked to kidney fibrosis; however, the mechanisms of lncRNAs in kidney fibrosis remain unclear. We have shown that the DPP-4 inhibitor linagliptin can inhibit endothelial-mesenchymal transition (EndMT) and ameliorate diabetic kidney fibrosis associated with DPP-4 protein levels via the induction of miR-29. Here, we found that expression of the lncRNA H19 was significantly up-regulated in TGF-β2-induced fibrosis in human dermal microvascular endothelial cells (HMVECs)

Indexed as

endothelial-mesenchymal transitionkidney fibrosislong non-coding ribonucleic acid-H19microRNA-29aTGF-β/SMAD3 singling

Identifiers

PMID33324218
PMCPMC7725869
OpenAlexW3109053286

What OpenQuestion holds

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LicenceCC BY
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.