Evidence map›Paper›PMID 33750392›Full record

ReviewJournal of nanobiotechnology2021

Advances in the development paradigm of biosample-based biosensors for early ultrasensitive detection of alzheimer's disease.

Hem Prakash Karki, Yeongseok Jang, Jinmu Jung, Jonghyun Oh

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Ophthalmic Biomarkers for Alzheimer's Disease: A Review.Frontiers in aging neuroscience · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hem Prakash KarkiDepartment of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
Yeongseok JangDepartment of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
Jinmu JungDepartment of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea. jmjung@jbnu.ac.kr.
Jonghyun OhDepartment of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea. jonghyuno@jbnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review highlights current developments, challenges, and future directions for the use of invasive and noninvasive biosample-based small biosensors for early diagnosis of Alzheimer's disease (AD) with biomarkers to incite a conceptual idea from a broad number of readers in this field. We provide the most promising concept about biosensors on the basis of detection scale (from femto to micro) using invasive and noninvasive biosamples such as cerebrospinal fluid (CSF), blood, urine, sweat, and tear. It also summarizes sensor types and detailed analyzing techniques for ultrasensitive detection of multiple target biomarkers (i.e., amyloid beta (Aβ) peptide, tau protein, Acetylcholine (Ach), microRNA137, etc.) of AD in terms of detection ranges and limit of detections (LODs). As the most significant disadvantage of CSF and blood-based detection of AD is associated with the invasiveness of sample collection which limits future strategy with home-based early screening of AD, we extensively reviewed the future trend of new noninvasive detection techniques (such as optical screening and bio-imaging process). To overcome the limitation of non-invasive biosamples with low concentrations of AD biomarkers, current efforts to enhance the sensitivity of biosensors and discover new types of biomarkers using non-invasive body fluids are presented. We also introduced future trends facing an infection point in early diagnosis of AD with simultaneous emergence of addressable innovative technologies.

Indexed as

AcetylcholineAlzheimer DiseaseAmyloid beta-PeptidesAnimalsBiomarkersBiosensing TechniquesEarly DiagnosisHumansLimit of DetectionMiceMicroRNAsSensitivity and Specificitytau ProteinsAcetylcholineAmyloid beta-PeptidesBiomarkersMAPT protein, humanMicroRNAsMIRN137 microRNA, humantau ProteinsAlzheimer’s diseaseBiomarkerBiosampleBiosensorEarly detection

Identifiers

PMID33750392
PMCPMC7945670

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.