Evidence map›Paper›PMID 38590360›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2024

Age-related changes after intracerebral hemorrhage: a comparative proteomics analysis of perihematomal tissue.

Xinhui Li, Zhongsong Xiao, Peizheng Li, Wensong Yang, Yiqing Shen, Fangyu Liu, Xin Xiong, Qingyuan Wu, Peng Wang, Ruozhi Dang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 4 institutions in 1 country.

Xinhui Li *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhongsong Xiao *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peizheng 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 WuNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peng WangDepartment 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.
Siwen GuiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lan DengDepartment 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 · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNFirst People's Hospital of Chongqing · CNSecond Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk factors and causes of intracerebral hemorrhage (ICH) and the degree of functional recovery after ICH are distinct between young and elderly patients. The increasing incidence of ICH in young adults has become a concern; however, research on the molecules and pathways involved ICH in subjects of different ages is lacking. In this study, tandem mass tag (TMT)-based proteomics was utilized to examine the protein expression profiles of perihematomal tissue from young and aged mice 24 h after collagenase-induced ICH. Among the 5,129 quantified proteins, ICH induced 108 and 143 differentially expressed proteins (DEPs) in young and aged mice, respectively; specifically, there were 54 common DEPs, 54 unique DEPs in young mice and 89 unique DEPs in aged mice. In contrast, aging altered the expression of 58 proteins in the brain, resulting in 39 upregulated DEPs and 19 downregulated DEPs. Bioinformatics analysis indicated that ICH activated different proteins in complement pathways, coagulation cascades, the acute phase response, and the iron homeostasis signaling pathway in mice of both age groups. Protein-protein interaction (PPI) analysis and ingenuity pathway analysis (IPA) demonstrated that the unique DEPs in the young and aged mice were related to lipid metabolism and carbohydrate metabolism, respectively. Deeper paired-comparison analysis demonstrated that apolipoprotein M exhibited the most significant change in expression as a result of both aging and ICH. These results help illustrate age-related protein expression changes in the acute phase of ICH.

Indexed as

Cerebral HemorrhageProteomicsAgedAgingAnimalsBrainHumansMiceProteinsProteinsagingintracerebral hemorrhageprotein-protein interactionproteomicstandem mass tag

Identifiers

PMID38590360
PMCPMC11001198
OpenAlexW4393142516

What OpenQuestion holds

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LicenceCC BY
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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.