Evidence map›Paper›PMID 36873033›Full record

ArticleACS omega2023

ssDNA-Modified Gold Nanoparticles as a Tool to Detect miRNA Biomarkers in Osteoarthritis.

Maria Pitou, Rigini M Papi, Anastasios-Nektarios Tzavellas, Theodora Choli-Papadopoulou

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
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  6. Article
  7. Advanced nanoparticles in osteoarthritis treatment.Biomaterials translational · 2024
    Review
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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

4 authors at 2 institutions in 1 country.

Maria PitouLaboratory of Biochemistry, School of Chemistry, Faculty of Natural Sciences, Aristotle University of Thessaloniki (AUTh), GR-54124 Thessaloniki, Greece.ORCID https://orcid.org/0000-0003-1929-227X
Rigini M PapiLaboratory of Biochemistry, School of Chemistry, Faculty of Natural Sciences, Aristotle University of Thessaloniki (AUTh), GR-54124 Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-3183-4724
Anastasios-Nektarios Tzavellas2nd Orthopedic and Trauma Department, 424 General Military Hospital, 56429 Thessaloniki, Greece.
Theodora Choli-PapadopoulouLaboratory of Biochemistry, School of Chemistry, Faculty of Natural Sciences, Aristotle University of Thessaloniki (AUTh), GR-54124 Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-7459-5807
Aristotle University of Thessaloniki · GR424 General Military Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, miRNAs have been established as promising, specific biomarkers for the diagnosis of many diseases, including osteoarthritis. Herein, we report a ssDNA-based detection method for miRNAs implicated in osteoarthritis, specifically, miR-93 and miR-223. In this study, gold nanoparticles (AuNPs) were modified with oligonucleotide ssDNA to detect miRNAs circulating in the blood in healthy subjects and patients suffering from osteoarthritis. The detection method was based on the colorimetric and spectrophotometric assessment of biofunctionalized AuNPs upon interaction with the target and their subsequent aggregation. Results showed that these methods could be used to detect easily and rapidly miR-93 but not miR-223 in osteoarthritic patients, and they could potentially be used as a diagnostic tool for blood biomarkers. Visual-based detection as well as spectroscopic methods are simple, rapid, and label-free, due to which they can be used as a diagnostic tool.

Identifiers

PMID36873033
PMCPMC9979327
OpenAlexW4320489591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.