Evidence map›Paper›PMID 28827785›Full record

ArticleScientific reports2017

A highly sensitive plasma-based amyloid-β detection system through medium-changing and noise cancellation system for early diagnosis of the Alzheimer's disease.

Yong Kyoung Yoo, Jinsik Kim, Gangeun Kim, Young Soo Kim, Hye Yun Kim, Sejin Lee, Won Woo Cho, Seongsoo Kim, Sang-Myung Lee, Byung Chul Lee and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Early Diagnosis of Alzheimer's Disease with Blood Test; Tempting but Challenging.International journal of molecular and cellular medicine · 2023
    Review
  5. Article
  6. Review
  7. Preparation of Luciferase-fused Peptides for Immunoassay of Amyloid Beta.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Alzheimer's Disease Diagnosis Using Misfolding Proteins in Blood.Dementia and neurocognitive disorders · 2020
    Review
  18. Review
  19. Article
  20. 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

12 authors.

Yong Kyoung YooDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, 02447, Korea.ORCID 0000-0001-9003-7912
Jinsik KimDepartment of Medical Biotechnology, College of Life Science and Biotechnology, Dongguk University, Seoul, Korea.
Gangeun KimCenter for BioMicrosystems, Korea Institute of Science and Technology (KIST), Seoul, 136-791, South Korea.
Young Soo KimDepartment of Pharmacy & Integrated Science and Engineering Division, Yonsei University, Incheon, 21983, South Korea.ORCID 0000-0001-5029-7082
Hye Yun KimDepartment of Pharmacy & Integrated Science and Engineering Division, Yonsei University, Incheon, 21983, South Korea.
Sejin LeeDepartment of Pharmacy & Integrated Science and Engineering Division, Yonsei University, Incheon, 21983, South Korea.
Won Woo ChoCANTIS.co, Sangnok-gu, Ansan-si, Gyeonggi-do, 426-901, South Korea.
Seongsoo KimDepartment of Chemical Engineering, Kangwon National University, Gangwon-do, 200-701, South Korea.
Sang-Myung LeeDepartment of Chemical Engineering, Kangwon National University, Gangwon-do, 200-701, South Korea.
Byung Chul LeeCenter for BioMicrosystems, Korea Institute of Science and Technology (KIST), Seoul, 136-791, South Korea.ORCID 0000-0002-7702-716X
Jeong Hoon LeeDepartment of Electrical Engineering, Kwangwoon University, Seoul, 139-701, South Korea.ORCID 0000-0001-7344-6060
Kyo Seon HwangDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, 02447, Korea. k.hwang@khu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed an interdigitated microelectrode (IME) sensor system for blood-based Alzheimer's disease (AD) diagnosis based on impedimetric detection of amyloid-β (Aβ) protein, which is a representative candidate biomarker for AD. The IME sensing device was fabricated using a surface micromachining process. For highly sensitive detection of several tens to hundreds of picogram/mL of Aβ in blood, medium change from plasma to PBS buffer was utilized with signal cancellation and amplification processing (SCAP) system. The system demonstrated approximately 100-folds higher sensitivity according to the concentrations. A robust antibody-immobilization process was used for stability during medium change. Selectivity of the reaction due to the affinity of Aβ to the antibody and the sensitivity according to the concentration of Aβ were also demonstrated. Considering these basic characteristics of the IME sensor system, the medium change was optimized in relation to the absolute value of impedance change and differentiated impedance changes for real plasma based Aβ detection. Finally, the detection of Aβ levels in transgenic and wild-type mouse plasma samples was accomplished with the designed sensor system and the medium-changing method. The results confirmed the potential of this system to discriminate between patients and healthy controls, which would enable blood-based AD diagnosis.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsBiomarkersBiosensing TechniquesDisease Models, AnimalEarly DiagnosisFemaleHumansLab-On-A-Chip DevicesMiceMice, TransgenicMicrofluidicsSensitivity and SpecificityAmyloid beta-PeptidesBiomarkers

Identifiers

PMID28827785
PMCPMC5567090

What Socratic 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 Socratic graph.