Evidence map›Paper›PMID 38112574›Full record

ArticleAging2023

Investigating the ID3/SLC22A4 as immune-related signatures in ischemic stroke.

Dading Lu, Heng Cai, Yugang Li, Wenyuan Chang, Xiu Liu, Qiwei Dai, Wanning Yu, Wangli Chen, Guomin Qiao, Haojie Xie and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2023. 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
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. ID3 enhances PD-L1 expression by restructuring MYC to promote colorectal cancer immune evasion.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

12 authors at 2 institutions in 1 country.

Dading LuDepartment of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China.
Heng CaiDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Yugang LiDepartment of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China.
Wenyuan ChangDepartment of Neurology, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China.
Xiu LiuThe First Clinical College, China Medical University, Shenbei, Shenyang, China.
Qiwei DaiDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Wanning YuDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Wangli ChenDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Guomin QiaoDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Haojie XieDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Xiong XiaoDepartment of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China.
Zhiqing LiDepartment of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China.
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic stroke (IS) is a fearful disease that can cause a variety of immune events. Nevertheless, precise immune-related mechanisms have yet to be systematically elucidated. This study aimed to identify immune-related signatures using machine learning and to validate them with animal experiments and single cell analysis.

methodsIn this study, we screened 24 differentially expressed genes (DEGs) while identifying immune-related signatures that may play a key role in IS development through a comprehensive strategy between least absolute shrinkage and selection operation (LASSO) regression, support vector machine (SVM) and immune-related genes. In addition, we explored immune infiltration using the CIBERSORT algorithm. Finally, we performed validation in mouse brain tissue and single cell analysis.

resultsWe identified 24 DEGs for follow-up analysis. ID3 and SLC22A4 were finally identified as the better immune-related signatures through a comprehensive strategy among DEGs, LASSO, SVM and immune-related genes. RT-qPCR, western blot, and immunofluorescence revealed a significant decrease in ID3 and a significant increase in SLC22A4 in the middle cerebral artery occlusion group. Single cell analysis revealed that ID3 was mainly concentrated in endothelial_2 cells and SLC22A4 in astrocytes in the MCAO group. A CIBERSORT finds significantly altered levels of immune infiltration in IS patients.

conclusionsThis study focused on immune-related signatures after stroke and ID3 and SLC22A4 may be new therapeutic targets to promote functional recovery after stroke. Furthermore, the association of ID3 and SLC22A4 with immune cells may be a new direction for post-stroke immunotherapy.

Indexed as

Inhibitor of Differentiation ProteinsIschemic StrokeOrganic Cation Transport ProteinsStrokeSymportersAlgorithmsAnimalsAstrocytesBlotting, WesternHumansMiceNeoplasm ProteinsID3 protein, humanIdb3 protein, mouseInhibitor of Differentiation ProteinsNeoplasm ProteinsOrganic Cation Transport ProteinsSLC22A4 protein, humanSlc22a4 protein, mouseSymportersbioinformationID3immuneischemic strokeSLC22A4

Identifiers

PMID38112574
PMCPMC10781493
OpenAlexW4389751612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.