Evidence map›Paper›PMID 39170214›Full record

ArticleHeliyon2024

Identification of critical genes associated with oxidative stress pathways in benzene-induced hematotoxicity.

Jin He, Cheng Peng, XiaoHan Yang, Peng Li, Jin Bai, Qiang Jia, Cunxiang Bo

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

7 authors.

Jin HeShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.
Cheng PengQueensland Alliance for Environmental Health Sciences, University of Queensland, Brisbane, Queensland, 4029, Australia.
XiaoHan YangShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.
Peng LiShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.
Jin BaiShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.
Qiang JiaShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.
Cunxiang BoShandong Academy of Occupational Health and Occupational Medicine & Shandong Provincial Occupational Diseases Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Bone marrow failure (BMF) is chronic benzene-induced hematotoxicity, which is associated with differential gene expression abnormality. Benzene-induced BMF is characterized by irreversible bone marrow depression. Despite extensive studies have been conducted, there is a lack of reliable, useful and simple diagnostic method for BMF. Previous studies have shown that the aberrant gene expression changes and reactive oxygen species production in bone marrow cells related to the development of BMF. Early detection of differentially expressed genes (DEGs) as potential biomarkers is important for diagnosis and treatment. However, the validation of effective biomarker through DEGs analysis in benzene-induced BMF still deserve to be clarified. This study aimed to identify target genes as potential biomarkers with benzene-induced BMF based on DEGs analysis. Methods: First, we developed a benzene-induced BMF mouse model and obtained the DEGs in bone marrow cells of benzene-exposed CD1 mice. Next, after obtaining the DEGs via RNA-Sequencing (RNA-seq) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were also used, key genes associated with benzene-induced BMF were identified. Additionally, the key markers for benzene poisoning was evaluated using qRT-PCR technique. Results: We identified DEGs for further KEGG functional analysis. Ten statistically significantly (up or down) regulated genes, namely Mapk11, Foxo1, Lefty1, Ren1, Bank1, Fgf3, Cdc42ep2, Rasgrf1, P2rx7, and Shank3 were found mainly associated with mitogen-activated protein kinases (MAPK) oxidative stress Conclusion: Our results indicated that Mapk11 and Fgf3 were predominantly candidate genes linked to novel biomarkers for benzene hematotoxicity in human beings. Our study will provide new candidate genes as useful biomarkers involved in benzene-induced hematotoxicity.

Indexed as

BenzeneBone marrow failureDifferentially expressed genesOxidative stress pathways

Identifiers

PMID39170214
PMCPMC11336642

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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.