Evidence map›Paper›PMID 35677585›Full record

ArticleFrontiers in molecular neuroscience2022

Analysis of Age-Dependent Transcriptomic Changes in Response to Intracerebral Hemorrhage in Mice.

Xinhui Li, Wensong Yang, Yiqing Shen, Fangyu Liu, Xin Xiong, Qingyuan Wu, Zhongsong Xiao, Xun Yang, Ruozhi Dang, Anatol Manaenko and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. 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
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 5 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

12 authors at 4 institutions in 1 country.

Xinhui LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wensong YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yiqing ShenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fangyu LiuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xin XiongDepartment of Neurology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Qingyuan WuDepartment of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Zhongsong XiaoDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xun YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ruozhi DangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Anatol ManaenkoDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peng XieDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qi LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CNChongqing Three Gorges University · CNFirst People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age is a well-known risk factor that is independently associated with poor outcomes after intracerebral hemorrhage (ICH). However, the interrelationship between age and poor outcomes after ICH is not well defined. In this study, we aimed to investigate this relationship based on collagenase-induced ICH mice models. After being assessed neurological deficit 24 h after ICH, mice were euthanized and brain perihematomal tissues were used for RNA-sequencing (RNA-seq). And then the functions of differentially expressed genes (DEGs) identified by RNA-seq were analyzed using Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Ingenuity Pathway Analysis (IPA) and protein-protein interaction (PPI) analysis. In addition, we performed real-time quantitative polymerase chain reaction (RT-qPCR) for validation of candidate DEGs. In the behavioral tests, aged mice presented significantly worse neurological function than young mice and greater weight loss than aged sham controls 24 h after ICH. In DEGs analysis, ICH affected the expression of more genes in young mice (2,337 DEGs) compared with aged mice (2,005 DEGs). We found aged mice exhibited increased brain inflammatory responses compared with young animals and ICH induced significant activation of the interferon-β (IFN-β) and IFN signaling pathways exclusively in aged mice. Moreover, further analysis demonstrated that ICH resulted in the activation of cytosolic DNA-sensing pathway with the production of downstream molecule type I IFN, and the response to type I IFN was more significant in aged mice than in young mice. In agreement with the results of RNA-seq, RT-qPCR indicated that the expression of candidate genes of cyclic GMP-AMP synthase (cGAS), Z-DNA-binding protein 1 (ZBP1), and IFN-β was significantly altered in aged mice after ICH. Taken together, our study indicated that compared to young animals, aged mice exhibit increased vulnerability to ICH and that the differences in transcriptional response patterns to ICH between young and aged mice. We believe that these findings will facilitate our understanding of ICH pathology and help to translate the results of preclinical studies into a clinical setting.

Indexed as

aginginflammationintracerebral hemorrhageneurological deficittranscriptomicstype I interferon

Identifiers

PMID35677585
PMCPMC9169040
OpenAlexW4281286494

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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.