Evidence map›Paper›PMID 19350038›Full record

ArticleNature nanotechnology2009

A highly sensitive and selective diagnostic assay based on virus nanoparticles.

Jin-Seung Park, Moon Kyu Cho, Eun Jung Lee, Keum-Young Ahn, Kyung Eun Lee, Jae Hun Jung, Yunjung Cho, Sung-Sik Han, Young Keun Kim, Jeewon Lee

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 160 citations in OpenAlex.

  1. Article
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  7. Article
  8. Penicillin Detection byNanotheranostics · 2018
    Article
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  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Ultrasensitive microchip based on smart microgel for real-time online detection of trace threat analytes.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  17. Article
  18. Article
  19. Review
  20. Virus outbreaks in chemical and biological sensors.Sensors (Basel, Switzerland) · 2014
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Jin-Seung ParkDepartment of Chemical and Biological Engineering, Korea University, Anam-Dong 5-1, Seongbuk-Gu, Seoul 136-713, Republic of Korea.
Moon Kyu Cho
Eun Jung Lee
Keum-Young Ahn
Kyung Eun Lee
Jae Hun Jung
Yunjung Cho
Sung-Sik Han
Young Keun Kim
Jeewon Lee
Korea University · KRHallym University Kangnam Sacred Heart Hospital · KRKorea University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of the protein marker troponin I in patients with a higher risk of acute myocardial infarction can reduce the risk of death from heart attacks. Most troponin assays are currently based on the conventional enzyme linked immunosorbent assay and have detection limits in the nano- and picomolar range. Here, we show that by combining viral nanoparticles, which are engineered to have dual affinity for troponin antibodies and nickel, with three-dimensional nanostructures including nickel nanohairs, we can detect troponin levels in human serum samples that are six to seven orders of magnitude lower than those detectable using conventional enzyme linked immunosorbent assays. The viral nanoparticle helps to orient the antibodies for maximum capture of the troponin markers. High densities of antibodies on the surfaces of the nanoparticles and nanohairs lead to greater binding of the troponin markers, which significantly enhances detection sensitivities. The nickel nanohairs are re-useable and can reproducibly differentiate healthy serum from unhealthy ones. We expect other viral nanoparticles to form similar highly sensitive diagnostic assays for a variety of other protein markers.

Indexed as

Biological AssayBiomarkersBiosensing TechniquesHumansImmunoassayMyocardial InfarctionNanoparticlesReproducibility of ResultsSensitivity and SpecificityTroponin IVirionBiomarkersTroponin I

Identifiers

PMID19350038
OpenAlexW2030416039

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.