Evidence map›Paper›PMID 36005012›Full record

ArticleBiosensors2022

Electrochemical Aptasensor for the Detection of the Key Virulence Factor YadA of

Maria G Sande, Débora Ferreira, Joana L Rodrigues, Luís D R Melo, Dirk Linke, Carla J Silva, Felismina T C Moreira, Maria Goreti F Sales, Ligia R Rodrigues

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Review
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  6. Review
  7. Aptasensor for the Detection ofBioengineering (Basel, Switzerland) · 2023
    Article
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

9 authors at 4 institutions in 2 countries.

Maria G SandeCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-5697-9292
Débora FerreiraCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-0937-4047
Joana L RodriguesCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-3217-2320
Luís D R MeloCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-6865-6044
Dirk LinkeSection for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0003-3150-6752
Carla J SilvaCENTI-Center for Nanotechnology and Smart Materials, Rua Fernando Mesquita 278, 4760-034 Vila Nova de Famalicão, Portugal.
Felismina T C MoreiraCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0003-4237-8952
Maria Goreti F SalesCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0001-9936-7336
Ligia R RodriguesCEB-Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0001-9265-0630
University of Minho · PTCentre for Health Technology and Services Research · PTCentro Tecnológico das Indústrias Têxtil e do Vestuário de Portugal · PTUniversity of Oslo · NO

Funding

EU Horizon 2020 Research and Innovation Programme under the Marie Sklowdowska-Curie Grant 765042Fundação para a Ciência e Tecnologia UID/BIO/04469/2020
6 · The paper itself

Abstract

New point-of-care (POC) diagnosis of bacterial infections are imperative to overcome the deficiencies of conventional methods, such as culture and molecular methods. In this study, we identified new aptamers that bind to the virulence factor Yersinia adhesin A (YadA) of Yersinia enterocolitica using cell-systematic evolution of ligands by exponential enrichment (cell-SELEX). Escherichia coli expressing YadA on the cell surface was used as a target cell. After eight cycles of selection, the final aptamer pool was sequenced by high throughput sequencing using the Illumina Novaseq platform. The sequencing data, analyzed using the Geneious software, was aligned, filtered and demultiplexed to obtain the key nucleotides possibly involved in the target binding. The most promising aptamer candidate, Apt1, bound specifically to YadA with a dissociation constant (Kd) of 11 nM. Apt1 was used to develop a simple electrochemical biosensor with a two-step, label-free design towards the detection of YadA. The sensor surface modifications and its ability to bind successfully and stably to YadA were confirmed by cyclic voltammetry, impedance spectroscopy and square wave voltammetry. The biosensor enabled the detection of YadA in a linear range between 7.0 × 104 and 7.0 × 107 CFU mL−1 and showed a square correlation coefficient >0.99. The standard deviation and the limit of detection was ~2.5% and 7.0 × 104 CFU mL−1, respectively. Overall, the results suggest that this novel biosensor incorporating Apt1 can potentially be used as a sensitive POC detection system to aid the diagnosis of Y. enterocolitica infections. Furthermore, this simple yet innovative approach could be replicated to select aptamers for other (bacterial) targets and to develop the corresponding biosensors for their detection.

Indexed as

Biosensing TechniquesYersinia enterocoliticaDielectric SpectroscopyVirulence FactorsVirulence Factorsadhesinaptamerbiosensorcell-SELEXcyclic voltammetryimpedance spectroscopysquare wave voltammetryYadAY. enterocolitica

Identifiers

PMID36005012
PMCPMC9405658
OpenAlexW4290703793

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.