Evidence map›Paper›PMID 28672912›Full record

ArticleExperimental and therapeutic medicine2017

Rutin suppresses high glucose-induced ACTA2 and p38 protein expression in diabetic nephropathy.

Chun-Shan Han, Kai Liu, Ning Zhang, Shi-Wen Li, Hai-Cheng Gao

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2017. 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 18% 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, 20 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

5 authors at 2 institutions in 1 country.

Chun-Shan HanDepartment of Chest Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Kai LiuDepartment of Pathology and Pathophysiology, Chengde Medical College, Chengde, Hebei 300000, P.R. China.
Ning ZhangDepartment of Clinical Pharmacy, Jilin University School of Pharmaceutical Sciences, Changchun, Jilin 130021, P.R. China.
Shi-Wen LiDepartment of Clinical Pharmacy, Jilin University School of Pharmaceutical Sciences, Changchun, Jilin 130021, P.R. China.
Hai-Cheng GaoDepartment of Clinical Pharmacy, Jilin University School of Pharmaceutical Sciences, Changchun, Jilin 130021, P.R. China.
Jilin University · CNAffiliated Hospital of Chengde Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated the effect of rutin on high glucose-induced actin, α2, smooth muscle, aorta (ACTA2) and p38 protein expression in diabetic nephropathy (DN). Human mesangial cells were divided into a control group, high glucose-induced mesangial cell group, high glucose + captopril group, and high glucose + rutin group (low, middle and high doses of rutin). Cell viability, adenosine 5'-triphosphate (ATP) content, cell cycle, and ACTA2 and p38 protein expression were examined using MTT assay, ATP assay kit, flow cytometry and immunofluorescence staining in cultured human mesangial cells, respectively. Cell viability, ATP content, and ACTA2 and p38 expression increased significantly in high glucose-induced mesangial cells (P<0.05). However, at concentrations of 0.2, 0.4 and 0.8 µmol/l rutin was able to inhibit high glucose-induced human mesangial cell viability, ATP content, and ACTA2 and p38 expression and improve the cell cycle progression of mesangial cells. In conclusion, ACTA2 and p38 proteins may have important roles in DN. Rutin may inhibit the expression of ACTA2 and p38 and may be utilized in the prevention and treatment of DN.

Indexed as

actinaortadiabetic nephropathyhuman mesangial cellsp38rutinsmooth muscleα2

Identifiers

PMID28672912
PMCPMC5488511
OpenAlexW2618196673

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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.