Evidence map›Paper›PMID 36651252›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2022

[MiR-34a alleviates podocyte injury in mice with diabetic nephropathy by targeted downregulation of Notch signaling pathway].

H Wang, H Liu, Y Zhang, W Chen

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2022. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

H WangDepartment of Nephrology, Wuhan First Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan 430022, China.
H LiuDepartment of Nephrology, Wuhan First Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan 430022, China.
Y ZhangDepartment of Nephrology, Wuhan First Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan 430022, China.
W ChenDepartment of Nephrology, Wuhan First Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan 430022, China.
Wuhan City Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the effects of miR-34a on injury and apoptosis of podocytes in diabetic nephropathy (DN) and the role of Notch signaling pathway in mediating its effects.

methodsThe expression of miR-34a in podocytes exposed to high glucose (30 mmol/L) was detected using RT-PCR. A podocyte line with miR-34a overexpression was constructed, and the miRNA-target relationship between miR-34a and Notch 1 was verified with luciferase assay. The effects of overexpression of Notch 1 and both miR-34a and Notch 1 on podocyte survival and apoptosis were evaluated using CCK-8 and flow cytometry and by detecting apoptosis-related proteins using Western blotting. In a DN mouse model established by high-fat diet and streptozotocin, the effect of tail vein injection of agomir-34a and agomir-NC on pathology and apoptosis in the renal tissues were observed with HE staining and TUNEL staining, and the renal expressions of apoptosis-related proteins and Notch 1 protein were detected with Western blotting.

resultsHigh glucose exposure significantly lowered miR-34a expression in cultured human podocytes (

conclusionMiR-34a is capable of improving podocyte injury and apoptosis in DN mice by targeted downregulation of Notch 1.

Indexed as

Diabetes MellitusDiabetic NephropathiesMicroRNAsPodocytesAnimalsApoptosisApoptosis Regulatory ProteinsCaspase 3Caspase 9Disease Models, AnimalDown-RegulationGlucoseHumansMiceSignal TransductionApoptosis Regulatory ProteinsCaspase 3Caspase 9GlucoseMicroRNAsMIRN34 microRNA, humanapoptosisdiabetic nephropathymiR-34anotch signaling pathwaypodocyte

Identifiers

PMID36651252
PMCPMC9878418
OpenAlexW4317359124

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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.