ArticlePloS one2017
Carbon nanotubes exhibit fibrillar pharmacology in primates.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Pathways to translation for nanomedicine in nephrology.Clinical kidney journal · 2025Review
- Review
- Review
- Ratiometric fluorescent sensing of pyrophosphate with sp³-functionalized single-walled carbon nanotubes.Nature communications · 2024Article
- Stimuli-responsive nanocarrier delivery systems for Pt-based antitumor complexes: a review.RSC advances · 2023Review
- Membrane fusion and drug delivery with carbon nanotube porins.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Fibrillar pharmacology of functionalized nanocellulose.Scientific reports · 2021Article
- Nanoparticles in Targeted Alpha Therapy.Nanomaterials (Basel, Switzerland) · 2020Review
- Banning carbon nanotubes would be scientifically unjustified and damaging to innovation.Nature nanotechnology · 2020Article
- Biomimetic carbon nanotubes for neurological disease therapeutics as inherent medication.Acta pharmaceutica Sinica. B · 2020Review
- Noninvasive ovarian cancer biomarker detection via an optical nanosensor implant.Science advances · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Nanomedicine rests at the nexus of medicine, bioengineering, and biology with great potential for improving health through innovation and development of new drugs and devices. Carbon nanotubes are an example of a fibrillar nanomaterial poised to translate into medical practice. The leading candidate material in this class is ammonium-functionalized carbon nanotubes (fCNT) that exhibits unexpected pharmacological behavior in vivo with important biotechnology applications. Here, we provide a multi-organ evaluation of the distribution, uptake and processing of fCNT in nonhuman primates using quantitative whole body positron emission tomography (PET), compartmental modeling of pharmacokinetic data, serum biomarkers and ex vivo pathology investigation. Kidney and liver are the two major organ systems that accumulate and excrete [86Y]fCNT in nonhuman primates and accumulation is cell specific as described by compartmental modeling analyses of the quantitative PET data. A serial two-compartment model explains renal processing of tracer-labeled fCNT; hepatic data fits a parallel two-compartment model. These modeling data also reveal significant elimination of the injected activity (>99.8%) from the primate within 3 days (t1/2 = 11.9 hours). These favorable results in nonhuman primates provide important insight to the fate of fCNT in vivo and pave the way to further engineering design considerations for sophisticated nanomedicines to aid late stage development and clinical use in man.
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What OpenQuestion holds
Registered trials
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.