Evidence map›Paper›PMID 37916989›Full record

ArticleAging2023

Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer's disease.

Ying-Hao Han, Hong-Yi Xiang, Dong Hun Lee, Lin Feng, Hu-Nan Sun, Mei-Hua Jin, Taeho Kwon

Abstract read
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. 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

7 authors.

Ying-Hao HanCollege of Life Science and Biotechnology, Heilongjiang Bayi Agricultural University, Daqing, P.R. China.
Hong-Yi XiangCollege of Life Science and Biotechnology, Heilongjiang Bayi Agricultural University, Daqing, P.R. China.
Dong Hun LeeDepartment of Biological Sciences, Research Center of Ecomimetics, Chonnam National University, Gwangju, Republic of Korea.
Lin FengCollege of Life Science and Biotechnology, Heilongjiang Bayi Agricultural University, Daqing, P.R. China.
Hu-Nan SunCollege of Life Science and Biotechnology, Heilongjiang Bayi Agricultural University, Daqing, P.R. China.
Mei-Hua JinCollege of Life Science and Biotechnology, Heilongjiang Bayi Agricultural University, Daqing, P.R. China.
Taeho KwonPrimate Resources Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, Jeonbuk, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the differential expression of serum microRNAs in cognitive normal subjects (NC), patients with mild cognitive impairment (MCI), and patients with Alzheimer's disease (AD), with the objective of identifying potential diagnostic biomarkers. A total of 320 clinical samples, including 32 MCI patients, 288 AD patients, and 288 healthy controls, were collected following international standards. The expression of microRNAs in serum was analyzed using the Agilent human microRNA oligonucleotide microarray, and bioinformatics methods were employed to predict target genes and their involvement in AD-related pathways. Among the 122 microRNAs screened, five microRNAs (hsa-miR-208a-5p, hsa-miR-125b-1-3p, hsa-miR-3194-3p, hsa-miR-4652-5p, and hsa-miR-4419a) exhibited differential expression and met quality control standards. Bioinformatics analysis revealed that the target genes of these microRNAs were involved in multiple AD-related pathways, which changed with disease progression. These findings demonstrate significant differences in serum microRNA expression between NC, MCI, and AD patients. Three microRNAs were identified as potential candidates for the development of diagnostic models for MCI and AD. The results highlight the crucial role of microRNAs in the pathogenesis of AD and provide a foundation for the development of novel therapeutic strategies and personalized treatment approaches for AD. This study contributes to the understanding of AD at the molecular level and offers potential avenues for early diagnosis and intervention in AD patients.

Indexed as

Alzheimer DiseaseMicroRNAsBiomarkersEarly DiagnosisHumansOligonucleotide Array Sequence AnalysisBiomarkersMicroRNAsAlzheimer’s diseasebiomarkersdiagnostic modelsmicroRNAserum

Identifiers

PMID37916989
PMCPMC10683584

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.