Evidence map›Paper›PMID 36624863›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Identification of Oxidative Stress-Related Biomarkers in Diabetic Kidney Disease.

Xiaoju Ma, Xiaobo Zhang, Tian Leng, Jingru Ma, Zhongzhu Yuan, Yalin Gu, Tingting Hu, Qiuyan Liu, Tao Shen

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Xiaoju MaSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0001-7747-961X
Xiaobo ZhangSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0002-9916-3832
Tian LengSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Jingru MaSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Zhongzhu YuanSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yalin GuSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Tingting HuSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Qiuyan LiuSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Tao ShenSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0001-9487-884X
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease throughout the world. In kidney disease, oxidative stress has been linked to both antioxidant depletions and increased reactive oxygen species (ROS) production. Thus, the objective of this study was to identify biomarkers related to oxidative stress in DKD. Methods: The gene expression profile of the DKD was extracted from the Gene Expression Omnibus (GEO) database. The identification of the differentially expressed genes (DEGs) was performed using the "limma" Results: DEGs analysis and WGCNA-identified 160 key genes were identified in DKD patients. Among them, nine oxidative stress-related genes were identified as candidate hub genes for DKD. Using the PPI network, five hub genes, NR4A2, DUSP1, FOS, JUN, and PTGS2, were subsequently identified. All the hub genes were downregulated in DKD and had a high diagnostic value of DKD. The regulatory mechanism of hub genes was analyzed from the miRNA gene-TF network. Conclusion: Our study identified NR4A2, DUSP1, FOS, JUN, and PTGS2 as hub genes of DKD. These genes may serve as potential therapeutic targets for DKD patients.

Identifiers

PMID36624863
PMCPMC9825216
OpenAlexW4313395800

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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.