Evidence map›Paper›PMID 26925250›Full record

ArticleFuture science OA

Interaction of graphene nanoribbons with components of the blood vascular system.

Sayan Mullick Chowdhury, Justin Fang, Balaji Sitharaman

Abstract read
In one paragraph

Article in Future science OA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Toxicology of graphene-based nanomaterials.Advanced drug delivery reviews · 2016
    Review
  6. 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

3 authors.

Sayan Mullick ChowdhuryDepartment of Biomedical Engineering, Stony Brook University, Bioengineering Building, Room 115, Stony Brook, NY 11794-5281, USA.
Justin FangDepartment of Biomedical Engineering, Stony Brook University, Bioengineering Building, Room 115, Stony Brook, NY 11794-5281, USA.
Balaji SitharamanDepartment of Biomedical Engineering, Stony Brook University, Bioengineering Building, Room 115, Stony Brook, NY 11794-5281, USA.

Funding

Nanotechnology-based Theranostic Technology for Bone Tissue EngineeringDP2OD007394 · OD · STATE UNIVERSITY NEW YORK STONY BROOK · PI SITHARAMAN, BALAJI · 2010 to 2010
$2.4M
NIH HHS DP2 OD007394
6 · The paper itself

Abstract

aimThe systemic administration of graphene nanoribbons for a variety of

methodsTransmission electron microscopy was used to characterize the nanoparticles. ELISA-based assays, bright-field microscopy, transmission electron microscopy and colorimetric assays were used to assess toxicological effects.

resultsOur findings taken together indicate that low concentrations of O-GNR-PEG-DSPE (<80 μg/ml) are relatively nontoxic to the hematological components, and could be employed for diagnostic and therapeutic applications especially for diseases of the circulatory system. Graphene nanoribbons are a class of carbon-based nanostructures derived from multiwalled carbon nanotubes that have been shown to have unique properties and high potential for drug-delivery applications in recent studies from our group. However, further development of this nanoparticle for biomedical applications will be possible only after its interactions with components of the circulatory system are suitably characterized. Toward that goal, this study is aimed at identifying potential toxicities of graphene nanoribbons in the circulatory system. Results from this study will give us indications about safe dosages and lay the foundation toward further animal studies.

Indexed as

endotheial toxicitygraphenehematotoxicityimmunotoxicitymultiwalled carbon nanotubesTEM

Identifiers

PMID26925250
PMCPMC4765390

What OpenQuestion holds

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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.