Evidence map›Paper›PMID 26851586›Full record

ReviewBiosensors & bioelectronics2016

Nano-biosensors to detect beta-amyloid for Alzheimer's disease management.

Ajeet Kaushik, Rahul Dev Jayant, Sneham Tiwari, Arti Vashist, Madhavan Nair

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
15.4field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 166 citations in OpenAlex.

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  20. Alzheimer's disease: pathogenesis, diagnostics, and therapeutics.International journal of nanomedicine · 2019
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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 1 institution in 1 country.

Ajeet KaushikCenter for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA. Electronic address: ajeet.npl@gmail.com.
Rahul Dev JayantCenter for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Sneham TiwariCenter for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Arti VashistCenter for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Madhavan NairCenter for Personalized Nanomedicine, Institute of Neuro immune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA. Electronic address: nairm@fiu.edu.
Florida International University · US

Funding

Polydrug Nanocarrier to Treat Opiate Addiction and HIV DiseaseR01DA027049 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2009 to 2014
$3.1M
To evaluate the role of cannabinoid signaling during the comorbidity of HIV and Alzheimer¿s disease in the context of HIV-associated cognitive disordersR01DA040537 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2015 to 2019
$3.0M
Cocaine in the Neuropathogenesis of HIV infection: Role of HDAC2R01DA034547 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2013 to 2018
$1.8M
Multifunctional Nanocarrier to Eradicate HIV from latently infected CNS cells andR01DA037838 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2014 to 2018
$1.8M
Novel Magneto-Electric Nanodelivery of Drugs to Eradicate HIV from CNSR21MH101025 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2013 to 2014
$388k
NIDA NIH HHS 1R01-DA-040537-01NIDA NIH HHS R01 DA027049NIDA NIH HHS R01-DA027049NIDA NIH HHS R01 DA034547NIDA NIH HHS R01-DA034547NIDA NIH HHS R01 DA037838NIDA NIH HHS R01-DA037838NIDA NIH HHS R01 DA040537NIMH NIH HHS R21 MH101025NIMH NIH HHS R21-MH101025
6 · The paper itself

Abstract

Beta-amyloid (β-A) peptides are potential biomarkers to monitor Alzheimer's diseases (AD) for diagnostic purposes. Increased β-A level is neurotoxic and induces oxidative stress in brain resulting in neurodegeneration and causes dementia. As of now, no sensitive and inexpensive method is available for β-A detection under physiological and pathological conditions. Although, available methods such as neuroimaging, enzyme-linked immunosorbent assay (ELISA), and polymerase chain reaction (PCR) detect β-A, but they are not yet extended at point-of-care (POC) due to sophisticated equipments, need of high expertize, complicated operations, and challenge of low detection limit. Recently, β-A antibody based electrochemical immuno-sensing approach has been explored to detect β-A at pM levels within 30-40 min compared to 6-8h of ELISA test. The introduction of nano-enabling electrochemical sensing technology could enable rapid detection of β-A at POC and may facilitate fast personalized health care delivery. This review explores recent advancements in nano-enabling electrochemical β-A sensing technologies towards POC application to AD management. These analytical tools can serve as an analytical tool for AD management program to obtain bio-informatics needed to optimize therapeutics for neurodegenerative diseases diagnosis management.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAntibodiesBiosensing TechniquesBrainEnzyme-Linked Immunosorbent AssayHumansLimit of DetectionPeptide FragmentsAmyloid beta-PeptidesAntibodiesPeptide FragmentsAlzheimer's diseasesBeta-amyloidDiseases managementElectrochemical sensorPoint-of-care sensing

Identifiers

PMID26851586
PMCPMC4786026
OpenAlexW2291981256

What OpenQuestion holds

Textmetadata
LicenceTDM
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.