Evidence map›Paper›PMID 38515668›Full record

ArticleHeliyon2024

Novel biomarkers related to oxidative stress and immunity in chronic kidney disease.

Fang Bai, Chunjie Wang, Xin Fan, Lin Fang, Luyao Li, Xiaoning Zhang, Kuipeng Yu, Lei Liu, Ling Guo, Xiangdong Yang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 7 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.

Fang BaiDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Chunjie WangDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Xin FanDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Lin FangDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Luyao LiDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Xiaoning ZhangDepartment of Nephrology, Shengli Oilfield Central Hospital, Dongying, 257034, Shandong, China.
Kuipeng YuDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Lei LiuDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Ling GuoDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Xiangdong YangDepartment of Nephrology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Qilu Hospital of Shandong University · CNShengli Oilfield Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The incidence of chronic kidney disease (CKD) has been increasing in recent years, gradually becoming a global health crisis. Due to limited treatment options, novel molecular pathways are urgently required to advance the treatment and diagnosis of CKD. Materials and methods: The characteristics of differentially expressed genes (DEGs) in CKD patients were analyzed using Gene Expression Omnibus (GEO) database, and genes related to oxidative stress were retrieved from the Genecard database. Subsequently, a comprehensive approach was applied, including immune infiltration analysis, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis, to identify hub genes among differentially expressed immune-related oxidative stress genes (DEIOSGs). Validation of hub genes was performed using an external data set, and diagnostic potential capability was evaluated through receiver operating curve (ROC) analysis. In animal experiments, the expression of hub genes in CKD was confirmed by inducing a CKD model through a 5/6 nephrectomy procedure. Finally, the relationship between these hub genes and clinical characteristics were assessed using the Nephroseq v5 database. Results: 29 DEIOSGs were identified by comprehensive bioinformatics analysis. PPI analysis screened the hub genes NCF2, S100A9, and SELL. ROC analysis demonstrated excellent diagnostic efficacy. Further validation from other databases and animal experiments confirmed a substantial upregulation in the expression of hub genes in CKD. Additionally, clinical correlation analysis established a clear link between hub gene expression and renal function deterioration. Conclusions: Our study confirms NCF2, S100A9, and SELL as diagnostic biomarkers associated with immune response and oxidative stress in CKD, suggesting their potential as novel targets for CKD diagnosis and treatment.

Indexed as

Bioinformatic analysisBiomarkerChronic kidney diseaseNCF2S100A9SELLWGCNA

Identifiers

PMID38515668
PMCPMC10955299
OpenAlexW4392714172

What OpenQuestion holds

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LicenceCC BY-NC
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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.