Evidence map›Paper›PMID 36290911›Full record

ArticleBiosensors2022

Selection of Specific Aptamer against Rivaroxaban and Utilization for Label-Free Electrochemical Aptasensing Using Gold Nanoparticles: First Announcement and Application for Clinical Sample Analysis.

Rokhsareh Ebrahimi, Abolfazl Barzegari, Reza Teimuri-Mofrad, Houman Kholafazad Kordasht, Mohammad Hasanzadeh, Maryam Khoubnasabjafari, Vahid Jouyban-Gharamaleki, Abbas Afrasiabi Rad, Nasrin Shadjou, Mohammad-Reza Rashidi and 2 more

Abstract read
In one paragraph

Article in Biosensors, 2022. 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
–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

1 citing paper in PubMed.

  1. Electrochemical Monitoring in Anticoagulation Therapy.Molecules (Basel, Switzerland) · 2024
    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

12 authors.

Rokhsareh EbrahimiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Abolfazl BarzegariResearch Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Reza Teimuri-MofradDepartment of Organic and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz 5166616471, Iran.
Houman Kholafazad KordashtBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0002-7919-9272
Mohammad HasanzadehPharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0003-4918-1239
Maryam KhoubnasabjafariTuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Vahid Jouyban-GharamalekiKimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Abbas Afrasiabi RadCardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Nasrin ShadjouDepartment of Nanochemistry, Nanotechnology Research Center, Urmia University, Urmia 5756151818, Iran.
Mohammad-Reza RashidiMedicinal Chemistry Department, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Mohammad Reza Afshar MogaddamFood and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Abolghasem JouybanPharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0002-4670-2783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the first time, a novel aptamer was designed and utilized for the selective detection of rivaroxaban (RIV) using the integration of bioinformatics with biosensing technology. The selected aptamer with the sequence 5'-TAG GGA AGA GAA GGA CAT ATG ATG ACT CAC AAC TGG ACG AAC GTA CTT ATC CCC CCC AAT CAC TAG TGA ATT-3' displayed a high binding affinity to RIV and had an efficient ability to discriminate RIV from similar molecular structures. A novel label-free electrochemical aptasensor was designed and fabricated through the conjugation of a thiolated aptamer with Au nanoparticles (Au-NPs). Then, the aptasensor was successfully applied for the quantitative determination of RIV in human plasma and exhaled breath condensate (EBC) samples with limits of detection (LODs) of 14.08 and 6.03 nM, respectively. These valuable results provide ample evidence of the green electrogeneration of AuNPs on the surface of electrodes and their interaction with loaded aptamers (based on Au-S binding) towards the sensitive and selective monitoring of RIV in human plasma and EBC samples. This bio-assay is an alternative approach for the clinical analysis of RIV and has improved specificity and affinity. As far as we know, this is the first time that an electrochemical aptasensor has been verified for the recognition of RIV and that allows for the easy, fast, and precise screening of RIV in biological samples.

Indexed as

Aptamers, NucleotideBiosensing TechniquesMetal NanoparticlesElectrochemical TechniquesElectrodesGoldHumansLimit of DetectionRivaroxabanAptamers, NucleotideGoldRivaroxabanadvanced nanomaterialaptameraptasensorbioanalysis of drugsbiotechnologyrivaroxaban

Identifiers

PMID36290911
PMCPMC9599351

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Registered trials

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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.