Evidence map›Paper›PMID 35957686›Full record

ArticleFrontiers in genetics2022

Identification of circulating immune landscape in ischemic stroke based on bioinformatics methods.

Danyang Li, Lifang Li, Fei Quan, Tianfeng Wang, Si Xu, Shuang Li, Kuo Tian, Meng Feng, Ni He, Liting Tian and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Danyang LiDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lifang LiDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Fei QuanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Tianfeng WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Si XuDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shuang LiDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kuo TianDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Meng FengDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ni HeDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Liting TianDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Biying ChenDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Huixue ZhangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lihua WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jianjian WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke (IS) is a high-incidence disease that seriously threatens human life and health. Neuroinflammation and immune responses are key players in the pathophysiological processes of IS. However, the underlying immune mechanisms are not fully understood. In this study, we attempted to identify several immune biomarkers associated with IS. We first retrospectively collected validated human IS immune-related genes (IS-IRGs) as seed genes. Afterward, potential IS-IRGs were discovered by applying random walk with restart on the PPI network and the permutation test as a screening strategy. Doing so, the validated and potential sets of IS-IRGs were merged together as an IS-IRG catalog. Two microarray profiles were subsequently used to explore the expression patterns of the IS-IRG catalog, and only IS-IRGs that were differentially expressed between IS patients and controls in both profiles were retained for biomarker selection by the Random Forest rankings.

Indexed as

biomarkerimmuneischemic strokemachine learningneuroinflammation

Identifiers

PMID35957686
PMCPMC9358692

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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.