Evidence map›Paper›PMID 35318719›Full record

ArticleJournal of clinical laboratory analysis2022

Screening and identification of biomarkers associated with the immune infiltration of intracerebral hemorrhage.

Hao Guo, Yanjun Zhang, Zhanfei Hu, Li Wang, Hongyin Du

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 26 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

5 authors at 4 institutions in 1 country.

Hao GuoThe First Central Clinical School, Tianjin Medical University, Tianjin, China.
Yanjun ZhangThe First Central Clinical School, Tianjin Medical University, Tianjin, China.
Zhanfei HuThe First Central Clinical School, Tianjin Medical University, Tianjin, China.
Li WangThe First Central Clinical School, Tianjin Medical University, Tianjin, China.
Hongyin DuThe First Central Clinical School, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0002-9505-8947
Tianjin Medical University · CNChifeng Municipal Hospital · CNShanxi Medical University · CNTianjin Children's Hospital · CN

Funding

Natural Science Foundation of Shanxi Province of China 20210302124648
6 · The paper itself

Abstract

backgroundRecent studies showed that inflammation and immunity might play essential roles in the progression of intracerebral hemorrhage (ICH). However, the underlying mechanisms for changes at the cellular and molecular levels after ICH remain unclear.

methodsWe downloaded the microarray dataset of ICH from the Gene Expression Omnibus (GEO) database. The differential expression gene analysis was obtained by weighted gene co-expression network analysis (WGCNA). We got the hub genes and performed the biological functions and signaling pathways of these genes by Metascape. GSVA algorithm was used to evaluate the potential physical function of time-varying ICH samples. We used single-sample gene set enrichment analysis (ssGSEA) to assess the immune signatures infiltration and analyzed the correlation between hub genes and immune signatures.

resultsThe data sets of all 22 ICH samples in GSE125512 were examined by the WGCNA R package. We finally screened five hub genes (GAPDH, PF4, SELP, APP, and PPBP) in the royal blue module. Metascape analysis displayed the biological processes related to inflammation and immunology. Cell adhesion molecule binding, myeloid leukocyte activation, CXCR chemokine receptor binding, and regulation of cytokine production were the most enriched pathophysiological process. The immune signatures infiltration analyses showed that ICH patients' early and late samples had different activity and abundance of immune-related cells and types.

conclusionsGAPDH, PF4, SELP, APP, and PPBP are identified as potential biomarkers for predicting the progression of ICH. This study may help us better understand the immunologic mechanism and shed new light on the promising approaches of immunotherapy for ICH patients.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksBiomarkersCerebral HemorrhageHumansInflammationBiomarkersbioinformatics analysisgene expression omnibusimmune infiltrationintracerebral hemorrhageweighted gene co-expression network analysis

Identifiers

PMID35318719
PMCPMC9102626
OpenAlexW4220828498

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.