Evidence map›Paper›PMID 33180258›Full record

ArticleGenes & genomics2020

Diagnostic and therapeutic biomarkers for Alzheimer's disease in human-derived platelets.

Jae-Woong Min, Jina Lee, Hui-Jin Mun, Dae Hoon Kim, Byeong-Gyu Park, Bora Yoon, Jin-Hyeob Ryu, Hyun-Jeong Cho

Abstract read
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In one paragraph

Article in Genes & genomics, 2020. 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
0.4field-weighted citation impact, top 46% 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.

  1. Article
  2. Review
  3. Review
  4. 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

8 authors at 2 institutions in 1 country.

Jae-Woong MinBiorchestra Co. Ltd., Techno4-ro 17, Daejeon, 34013, South Korea.
Jina LeeDepartment of Biomedical Laboratory Science, College of Medical Science, Konyang University, Daejeon, 35365, South Korea.
Hui-Jin MunDepartment of Biomedical Laboratory Science, College of Medical Science, Konyang University, Daejeon, 35365, South Korea.
Dae Hoon KimBiorchestra Co. Ltd., Techno4-ro 17, Daejeon, 34013, South Korea.
Byeong-Gyu ParkBiorchestra Co. Ltd., Techno4-ro 17, Daejeon, 34013, South Korea.
Bora YoonDepartment of Neurology, College of Medicine, Konyang University Hospital, Konyang University, Daejeon, 35365, South Korea.
Jin-Hyeob RyuBiorchestra Co. Ltd., Techno4-ro 17, Daejeon, 34013, South Korea. ceo@biorchestra.com.
Hyun-Jeong ChoDepartment of Biomedical Laboratory Science, College of Medical Science, Konyang University, Daejeon, 35365, South Korea. hjcho@konyang.ac.kr.ORCID 0000-0003-2331-1306
Konyang University · KRBio-Medical Science (South Korea) · KR

Funding

Korea Health Industry Development Institute HI18C1671Ministry of Education 2016R1C1B2007025
6 · The paper itself

Abstract

backgroundDiagnosis of current Alzheimer's disease (AD) is difficult even for medical specialists, and there is no clear biomarker. Also, aging is highly related to the onset of AD.

objectivesThe purpose of this study is to screen miRNA as an aging-considered biomarker for AD treatment and diagnosis.

methodsThe patient group for this study was divided into a young normal, old normal, or AD group. We developed a method of discovering sequentially expressed miRNAs to distinguish miRNAs that were sequentially expressed in the three groups.

resultsSequentially expressed miRNAs correlated highly with the patient's age, and most showed expression patterns that distinguished young, old, and AD. Specifically, the miRNA expression we found showed similar patterns in the brains of patients with AD. Among the selected miRNAs, one set derived from the same precursor: The expression of miR-150 was a disease- and age-specific downregulation in both 3p and 5p forms, and the precursor also had the same pattern. We named that triple matching. Also, the found miR-150 precursor had AD-specific miRNA-imbalance characteristics.

conclusionsWe developed a novel AD diagnostic method using triple matching and miRNA-imbalance. The triple matching and miRNA imbalance-based relative ratio diagnosis method we developed will be very powerful in resolving the challenges of absolute diagnostic quantification based on biomarker expression. Also, our research results suggest the possibility of a treatment target for AD.

Indexed as

AdultAgedAged, 80 and overAge FactorsAlzheimer DiseaseBiomarkersBlood PlateletsFemaleHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIR150, humanAlzheimer’s diseaseArm switchingBiomarkerMicro RNAPlatelet

Identifiers

PMID33180258
OpenAlexW3101590198

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.