Evidence map›Paper›PMID 38137422›Full record

ReviewBiomedicines2023

Nucleic Acid Aptamer-Based Biosensors: A Review.

Beatriz Sequeira-Antunes, Hugo Alexandre Ferreira

Abstract readReview
In one paragraph

Review in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. RNA therapeutics: current status and future directions.Signal transduction and targeted therapy · 2026
    Review
  2. Article
  3. Aptamer-based DNA nanoswitches for multiplexed protein detection.Chemical communications (Cambridge, England) · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Emerging point-of-care technologies for bacterial pathogen detection.Journal of Zhejiang University. Science. B · 2026
    Review
  8. Article
  9. Review
  10. Aptamer-based DNA nanoswitches for multiplexed protein detection.bioRxiv : the preprint server for biology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

2 authors.

Beatriz Sequeira-AntunesInstitute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0001-8746-0541
Hugo Alexandre FerreiraInstitute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0002-4323-3942

Funding

Fundação para a Ciência e Tecnologia UIBD/00645/2020
6 · The paper itself

Abstract

Aptamers, short strands of either DNA, RNA, or peptides, known for their exceptional specificity and high binding affinity to target molecules, are providing significant advancements in the field of health. When seamlessly integrated into biosensor platforms, aptamers give rise to aptasensors, unlocking a new dimension in point-of-care diagnostics with rapid response times and remarkable versatility. As such, this review aims to present an overview of the distinct advantages conferred by aptamers over traditional antibodies as the molecular recognition element in biosensors. Additionally, it delves into the realm of specific aptamers made for the detection of biomarkers associated with infectious diseases, cancer, cardiovascular diseases, and metabolomic and neurological disorders. The review further elucidates the varying binding assays and transducer techniques that support the development of aptasensors. Ultimately, this review discusses the current state of point-of-care diagnostics facilitated by aptasensors and underscores the immense potential of these technologies in advancing the landscape of healthcare delivery.

Indexed as

aptamersaptasensorsbiomarkerselectrical aptasensorsmagnetic aptasensorsoptical aptasensorspoint of careSELEX process

Identifiers

PMID38137422
PMCPMC10741014

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.