Evidence map›Paper›PMID 30279506›Full record

ArticleScientific reports2018

Renoprotective effect of Zhenwu decoction against renal fibrosis by regulation of oxidative damage and energy metabolism disorder.

Shasha Li, Xue Xiao, Ling Han, Yiming Wang, Guoan Luo

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

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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.

Shasha LiGuangdong Provincial Hospital of Chinese Medicine, No. 111 Dade Road, Guangzhou, Guangdong, 510120, China.
Xue XiaoGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Ling HanGuangdong Provincial Hospital of Chinese Medicine, No. 111 Dade Road, Guangzhou, Guangdong, 510120, China. ertubawen@163.com.
Yiming WangGuangdong Provincial Hospital of Chinese Medicine, No. 111 Dade Road, Guangzhou, Guangdong, 510120, China.
Guoan LuoGuangdong Provincial Hospital of Chinese Medicine, No. 111 Dade Road, Guangzhou, Guangdong, 510120, China. luoga@mail.tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zhenwu decoction (ZWD) is a promising traditional Chinese prescription against renal fibrosis, while its underlying mechanism remains unclear. Rat model of renal fibrosis were established and divided into control group, model group, ZWD treatment group and enalapril maleate treatment group. Metabolic profiles on serum samples from each group were acquired by using ultra performance liquid chromatography coupled with quadrupole time-of-flight high-resolution mass spectrometry. Metabolomics combined with molecular biology were comparatively conducted on samples of various groups. Fifteen potential biomarkers were identified and these biomarkers are mainly phospholipids and fatty acids. The results showed renal fibrosis was associated with oxidative damage and energy metabolism disorder. The results of histopathology, biochemistry and metabolomics demonstrated that ZWD exhibited an efficient renoprotective effect by alleviating oxidative stress, increasing energy metabolism and regulating fibrotic cytokines. This study provided scientific support for the research and development of new drugs from traditional Chinese medicine.

Indexed as

AnimalsBiomarkersDrugs, Chinese HerbalEnergy MetabolismFibrosisKidneyKidney Failure, ChronicMedicine, Chinese TraditionalMetabolomeOxidative StressRatsRats, Sprague-DawleyBiomarkersDrugs, Chinese Herbalzhenwu decoction

Identifiers

PMID30279506
PMCPMC6168532

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Registered trials

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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.