Evidence map›Paper›PMID 34163322›Full record

ArticleFrontiers in neuroscience2021

Bioinformatics Analysis Identifies Potential Ferroptosis Key Genes in the Pathogenesis of Intracerebral Hemorrhage.

Tongye Liu, Xinhe Li, Yiteng Cui, Pingping Meng, Guanghui Zeng, Yuyang Wang, Qiang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 92 citations in OpenAlex.

  1. Ironing out mechanisms of ferroptotic death to tailor new stroke therapies.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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 at 2 institutions in 1 country.

Tongye LiuDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xinhe LiDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yiteng CuiDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Pingping MengDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Guanghui ZengDepartment of Sports Medicine, Qingdao University Medical College, Qingdao, China.
Yuyang WangDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qiang WangDepartment of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracerebral hemorrhage (ICH) is a dangerous neurological disease. The mechanism of ferroptosis in ICH remains unclear. Using bioinformatics analysis, we aimed to identify the key molecules involved in ferroptosis and provide treatment targets for ICH to further explore the mechanism of ferroptosis in ICH. GSE24265 was downloaded from the Gene Expression Omnibus (GEO) dataset and intersected with ferroptosis genes. A total of 45 differentially expressed genes (DEGs) were selected, most of which were involved in the TNF signaling pathway and oxidative stress response. Key modules constructed by the protein-protein interaction (PPI) network analysis and screening of genes related to the TNF signaling pathway led to the confirmation of the following genes of interest:

Indexed as

bioinformacticsferroptosisintracerebral hemorhageMAPK1TNF signaling pathway

Identifiers

PMID34163322
PMCPMC8215678
OpenAlexW3172406928

What OpenQuestion holds

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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.