Evidence map›Paper›PMID 38845616›Full record

ReviewFrontiers in molecular neuroscience2024

Post-stroke cognitive impairment: exploring molecular mechanisms and omics biomarkers for early identification and intervention.

Qiuyi Lu, Anqi Yu, Juncai Pu, Dawei Chen, Yujie Zhong, Dingqun Bai, Lining Yang

Abstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Blood-Based Biomarkers for Post-Stroke Cognitive Impairment.Current issues in molecular biology · 2026
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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

7 authors.

Qiuyi LuDepartment of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Anqi YuDepartment of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Juncai PuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Dawei ChenDepartment of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Yujie ZhongDepartment of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Dingqun Bai *Department of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.
Lining Yang *Department of Rehabilitation, The First Affiliated Hospital of Chongqing Medical University, Chonging, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-stroke cognitive impairment (PSCI) is a major stroke consequence that has a severe impact on patients' quality of life and survival rate. For this reason, it is especially crucial to identify and intervene early in high-risk groups during the acute phase of stroke. Currently, there are no reliable and efficient techniques for the early diagnosis, appropriate evaluation, or prognostication of PSCI. Instead, plenty of biomarkers in stroke patients have progressively been linked to cognitive impairment in recent years. High-throughput omics techniques that generate large amounts of data and process it to a high quality have been used to screen and identify biomarkers of PSCI in order to investigate the molecular mechanisms of the disease. These techniques include metabolomics, which explores dynamic changes in the organism, gut microbiomics, which studies host-microbe interactions, genomics, which elucidates deeper disease mechanisms, transcriptomics and proteomics, which describe gene expression and regulation. We looked through electronic databases like PubMed, the Cochrane Library, Embase, Web of Science, and common databases for each omics to find biomarkers that might be connected to the pathophysiology of PSCI. As all, we found 34 studies: 14 in the field of metabolomics, 5 in the field of gut microbiomics, 5 in the field of genomics, 4 in the field of transcriptomics, and 7 in the field of proteomics. We discovered that neuroinflammation, oxidative stress, and atherosclerosis may be the primary causes of PSCI development, and that metabolomics may play a role in the molecular mechanisms of PSCI. In this study, we summarized the existing issues across omics technologies and discuss the latest discoveries of PSCI biomarkers in the context of omics, with the goal of investigating the molecular causes of post-stroke cognitive impairment. We also discuss the potential therapeutic utility of omics platforms for PSCI mechanisms, diagnosis, and intervention in order to promote the area's advancement towards precision PSCI treatment.

Indexed as

biomarkersmetabolomicsomicspost-stroke cognitive impairmentproteomics

Identifiers

PMID38845616
PMCPMC11153683

What OpenQuestion holds

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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.