Evidence map›Paper›PMID 29361679›Full record

ArticleSensors (Basel, Switzerland)2018

Development of a Label-Free Immunosensor for Clusterin Detection as an Alzheimer's Biomarker.

Kamrul Islam, Samar Damiati, Jagriti Sethi, Ahmed Suhail, Genhua Pan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 40 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Kamrul IslamWolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science and Engineering, University of Plymouth, Devon PL4 8AA, UK. kamrul.islam@plymouth.ac.uk.ORCID 0000-0001-8979-9899
Samar DamiatiDepartment of Biochemistry, Faculty of Science, King Abdulaziz University (KAU), Jeddah 21589, Saudi Arabia. sdamiati@kau.edu.sa.
Jagriti SethiWolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science and Engineering, University of Plymouth, Devon PL4 8AA, UK. Jagriti.sethi@plymouth.ac.uk.
Ahmed SuhailWolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science and Engineering, University of Plymouth, Devon PL4 8AA, UK. ahmed.suhail@plymouth.ac.uk.
Genhua PanWolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science and Engineering, University of Plymouth, Devon PL4 8AA, UK. g.pan@plymouth.ac.uk.
University of Plymouth · GBKing Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clusterin (CLU) has been associated with the clinical progression of Alzheimer's disease (AD) and described as a potential AD biomarker in blood plasma. Due to the enormous attention given to cerebrospinal fluid (CSF) biomarkers for the past couple of decades, recently found blood-based AD biomarkers like CLU have not yet been reported for biosensors. Herein, we report the electrochemical detection of CLU for the first time using a screen-printed carbon electrode (SPCE) modified with 1-pyrenebutyric acid

Indexed as

Alzheimer DiseaseBiomarkersBiosensing TechniquesClusterinElectrodesHumansLimit of DetectionPyrenes1-pyrenebutyrateBiomarkersClusterinPyrenesAlzheimer’s diseaseclusterincyclic voltammetryelectrochemical biosensorlabel-free immunosensorscreen-printed electrodessquare wave voltammetry

Identifiers

PMID29361679
PMCPMC5795331
OpenAlexW2788473288

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.