Evidence map›Paper›PMID 36748746›Full record

ArticleRenal failure2023

Exploration of the mechanism of NORAD activation of TGF-β1/Smad3 through miR-136-5p and promotion of tacrolimus-induced renal fibrosis.

Lei Liu, Jia Guo, Xin-Lu Pang, Wen-Jun Shang, Zhi-Gang Wang, Jun-Xiang Wang, Xian-Lei Yang, Gui-Wen Feng

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Lei LiuDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jia GuoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin-Lu PangDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wen-Jun ShangDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhi-Gang WangDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jun-Xiang WangDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xian-Lei Yang
Gui-Wen FengDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTacrolimus is a potent immunosuppressant, but has various side effects, with nephrotoxicity being the most common. Renal fibrosis is an important process of tacrolimus nephrotoxicity. Therefore, it is important to identify the factors that contribute to renal fibrosis after tacrolimus nephrotoxicity, and control its development.

methodsThe present study aims to determine whether tacrolimus may speed up the course of renal fibrosis by upregulating noncoding RNA activated by DNA damage (NORAD) to compete with miR-136-5p, and activating the TGF-β1/Smad3 pathway. Furthermore,

resultsIn the

conclusionThrough

Indexed as

Kidney DiseasesMicroRNAsRNA, Long NoncodingAnimalsDNA DamageFibrosisMiceRatsRNA, UntranslatedSignal TransductionTacrolimusTransforming Growth Factor beta1MicroRNAsRNA, Long NoncodingRNA, UntranslatedTacrolimusTransforming Growth Factor beta1miR-136-5pNORADrenal fibrosisTacrolimusTGF-β1/Smad3

Identifiers

PMID36748746
PMCPMC9930837
OpenAlexW4319333433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.