ReviewToxicology and applied pharmacology2017
Toward a systematic exploration of nano-bio interactions.
Review in Toxicology and applied pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled 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.
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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analyzing Molecular Determinants of Nanodrugs' Cytotoxic Effects.International journal of molecular sciences · 2025Pooled it
- Metabolomic profiling of diatoms reveals distinct impacts of silver nanoparticles and ions.Environmental science. Nano · 2026Article
- Nanotechnology-Driven Drug Delivery Systems for Lung Cancer: Computational Advances and Clinical Perspectives.Thoracic cancer · 2025Review
- Leveraging Artificial Intelligence and Machine Learning for Characterizing Protein Corona, Nanobiological Interactions, and Advancing Drug Discovery.Bioengineering (Basel, Switzerland) · 2025Review
- Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review.Frontiers in medicine · 2025Review
- Comprehensive insights into mechanism of nanotoxicity, assessment methods and regulatory challenges of nanomedicines.Discover nano · 2024Review
- Transvascular transport of nanocarriers for tumor delivery.Nature communications · 2024Review
- Principles of Nanoparticle Delivery to Solid Tumors.BME frontiers · 2023Review
- Structural parameters of nanoparticles affecting their toxicity for biomedical applications: a review.Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology · 2023Review
- Supervised learning model predicts protein adsorption to carbon nanotubes.Science advances · 2022Article
- Obstacles and opportunities in a forward vision for cancer nanomedicine.Nature materials · 2021Review
- Hydroxyapatite Nanoparticles in Drug Delivery: Physicochemistry and Applications.Pharmaceutics · 2021Review
- Nano-bio surface interactions, cellular internalisation in cancer cells and e-data portals of nanomaterials: A review.IET nanobiotechnology · 2021Review
- Metal/metal oxide nanoparticles: Toxicity concerns associated with their physical state and remediation for biomedical applications.Toxicology reports · 2021Review
- Multiparametric Profiling of Engineered Nanomaterials: Unmasking the Surface Coating Effect.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Systematic Study of Perfluorocarbon Nanoemulsions Stabilized by Polymer Amphiphiles.ACS applied materials & interfaces · 2020Article
- The Current Understanding of Autophagy in Nanomaterial Toxicity and Its Implementation in Safety Assessment-Related Alternative Testing Strategies.International journal of molecular sciences · 2020Review
- Gold Nanoparticles as Radiosensitizers in Cancer Radiotherapy.International journal of nanomedicine · 2020Review
- Combinatorial Use of Chitosan Nanoparticles, Reversine, and Ionising Radiation on Breast Cancer Cells Associated with Mitosis Deregulation.Biomolecules · 2019Article
- The Right Stuff: On the Future of Nanotoxicology.Frontiers in toxicology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Many studies of nanomaterials make non-systematic alterations of nanoparticle physicochemical properties. Given the immense size of the property space for nanomaterials, such approaches are not very useful in elucidating fundamental relationships between inherent physicochemical properties of these materials and their interactions with, and effects on, biological systems. Data driven artificial intelligence methods such as machine learning algorithms have proven highly effective in generating models with good predictivity and some degree of interpretability. They can provide a viable method of reducing or eliminating animal testing. However, careful experimental design with the modelling of the results in mind is a proven and efficient way of exploring large materials spaces. This approach, coupled with high speed automated experimental synthesis and characterization technologies now appearing, is the fastest route to developing models that regulatory bodies may find useful. We advocate greatly increased focus on systematic modification of physicochemical properties of nanoparticles combined with comprehensive biological evaluation and computational analysis. This is essential to obtain better mechanistic understanding of nano-bio interactions, and to derive quantitatively predictive and robust models for the properties of nanomaterials that have useful domains of applicability.
Indexed as
Identifiers
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.