Evidence map›Paper›PMID 27626107›Full record

ArticleAnalytical chemistry2016

Enzymatic and Nonenzymatic Electrochemical Interaction of Abiraterone (Antiprostate Cancer Drug) with Multiwalled Carbon Nanotube Bioelectrodes.

Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara

Open access · greenAbstract readLetter
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

1 citing paper in PubMed, 24 citations in OpenAlex.

  1. Review
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

3 authors at 1 institution in 1 country.

Nima AliakbarinodehiIntegrated Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland 1015.
Giovanni De MicheliIntegrated Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland 1015.
Sandro CarraraIntegrated Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland 1015.
École Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unexplored electrochemical behavior of abiraterone, a recent and widely used prostate cancer drug, in interaction with cytochrome P450 3A4 (CYP3A4) enzyme and multiwalled carbon nanotubes (MWCNTs) is investigated in this work. The results reported in this work are significant for personalized medicine and point-of-care chemical treatment, especially to improve the life expectancy and quality of life of patients with prostate-cancer. To this purpose, enzymatic and nonenzymatic electrochemical biosensors were developed and characterized with different concentrations of abiraterone. Nonenzymatic biosensors were functionalized with MWCNTs as a catalyst for signal enhancement, while enzymatic biosensors have been obtained with CYP3A4 protein immobilized on MWCNTs as recognition biomolecule. Enzymatic electrochemical experiments demonstrated an inhibition effect on the CYP3A4, clearly observed as a diminished electrocatalytic activity of the enzyme. Electrochemical responses of nonenzymatic biosensors clearly demonstrated the direct electroactivity of abiraterone when reacting with MWCNT as well as an electrode-fouling effect.

Indexed as

AndrostenesAntineoplastic AgentsBiosensing TechniquesCarbonCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsElectrodesHumansNanotubesabirateroneAndrostenesAntineoplastic AgentsCarbonCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A Inhibitors

Identifiers

PMID27626107
PMCPMC5125716
OpenAlexW2519958047

What OpenQuestion holds

Textmetadata
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.