Evidence map›Paper›PMID 32509185›Full record

ArticleAmerican journal of translational research2020

Potential risk of hyperuricemia: leading cardiomyocyte hypertrophy by inducing autophagy.

Xiao-Jie Zhang, Dong-Mei Liu, Ying Sun, Yan-Shan Li, Li-Li Ma, Xiu-Fang Kong, Xiao-Meng Cui, Rong-Yi Chen, Zhuo-Jun Zhang, Lin-Di Jiang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 10 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

10 authors at 2 institutions in 1 country.

Xiao-Jie ZhangDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Dong-Mei LiuDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Ying SunDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Yan-Shan LiDepartment of Rheumatology, Linyi People's Hospital Linyi 276000, Shandong, China.
Li-Li MaDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Xiu-Fang KongDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Xiao-Meng CuiDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Rong-Yi ChenDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Zhuo-Jun ZhangDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Lin-Di JiangDepartment of Rheumatology, Zhongshan Hospital, Fudan University Shanghai 200030, China.
Fudan University · CNLinyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical studies have shown that hyperuricemia is associated with many cardiovascular diseases; however, the mechanisms involved remain unclear. In this study, we investigated the effect of uric acid on cardiomyocytes and the underlying mechanism. METHODS AND

resultsH9c2 cardiomyocytes were treated with various concentrations of uric acid. 3-Methyladenine (3-MA) or Compound C was added before treatment with uric acid. The expression of myocardial hypertrophy-related genes was measured using polymerase chain reaction (PCR). The cell surface area was calculated using ImageJ Software. Western blotting was used to measure the protein levels. Uric acid increased the gene expression of

conclusionsUric acid induces myocardial hypertrophy by activating autophagy via the AMPK-ULK1 signaling pathway. Decreasing the serum uric acid level may therefore be clinically beneficial in alleviating cardiac hypertrophy.

Indexed as

AMPKautophagycardiomyocyte hypertrophyULK1Uric acid

Identifiers

PMID32509185
PMCPMC7269983
OpenAlexW3033338094

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.