Evidence map›Paper›PMID 38594359›Full record

ArticleScientific reports2024

Biomarker profiling to determine clinical impact of microRNAs in cognitive disorders.

Weijie Zhai, Meng Zhao, Chunxiao Wei, Guimei Zhang, Yiming Qi, Anguo Zhao, Li Sun

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. 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 at 3 institutions in 1 country.

Weijie ZhaiDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China.
Meng ZhaoDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China.
Chunxiao WeiDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China.
Guimei ZhangDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China.
Yiming QiDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China.
Anguo ZhaoDepartment of Urology, Dushu Lake Hospital Affiliated to Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China.
Li SunDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Xinmin Street 1#, Changchun, 130021, China. sunli99@jlu.edu.cn.
Jilin University · CNFirst Hospital of Jilin University · CNThe Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)

Funding

the General Program of the National Natural Science Foundation of China No. 82071442the Jilin Provincial Department of Finance JLSWSRCZX2021-004the Major Chronic Disease Program of the Ministry of Science and Technology of China No. 2018YFC1312301
6 · The paper itself

Abstract

Alzheimer's disease (AD) and post-stroke cognitive impairment (PSCI) are the leading causes of progressive dementia related to neurodegenerative and cerebrovascular injuries in elderly populations. Despite decades of research, patients with these conditions still lack minimally invasive, low-cost, and effective diagnostic and treatment methods. MicroRNAs (miRNAs) play a vital role in AD and PSCI pathology. As they are easily obtained from patients, miRNAs are promising candidates for the diagnosis and treatment of these two disorders. In this study, we performed complete sequencing analysis of miRNAs from 24 participants, split evenly into the PSCI, post-stroke non-cognitive impairment (PSNCI), AD, and normal control (NC) groups. To screen for differentially expressed miRNAs (DE-miRNAs) in patients, we predicted their target genes using bioinformatics analysis. Our analyses identified miRNAs that can distinguish between the investigated disorders; several of them were novel and never previously reported. Their target genes play key roles in multiple signaling pathways that have potential to be modified as a clinical treatment. In conclusion, our study demonstrates the potential of miRNAs and their key target genes in disease management. Further in-depth investigations with larger sample sizes will contribute to the development of precise treatments for AD and PSCI.

Indexed as

Alzheimer DiseaseCognition DisordersCognitive DysfunctionMicroRNAsStrokeAgedBiomarkersHumansBiomarkersMicroRNAsAlzheimer’s diseaseBioinformaticsCognitive impairmentDementiaMicroRNAPost-stroke cognitive impairment

Identifiers

PMID38594359
PMCPMC11004146
OpenAlexW4394614876

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.