ReviewSmall (Weinheim an der Bergstrasse, Germany)2023
An Overview of Nanoparticle Protein Corona Literature.
Review in Small (Weinheim an der Bergstrasse, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses 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
65 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media.ACS nano · 2025Pooled it
- The biomedical application of inorganic metal nanoparticles in aging and aging-associated diseases.Journal of advanced research · 2025Pooled it
- Nanomedicine-based cancer immunotherapy: translational barriers, mechanistic strategies, and future perspectives.Drug delivery · 2026Review
- A destination-driven framework for nanoparticle-enabled targeted protein degradation.Acta pharmaceutica Sinica. B · 2026Review
- Nano Eco-Scale: A scoring system for the assessment of the greenness and safety of manufactured nanomaterials for analytical and environmental applications.Scientific reports · 2026Article
- Multifunctional Nano-Contrast Agent Carriers: From Traditional Platforms to Next-Generation Theranostic Applications in Molecular Imaging.Biomedicines · 2026Review
- Redox-modulation of regulated cell death: implications for synergistic anticancer therapies.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Influence of protein aggregates, extracellular vesicles, and lipoprotein fusion on ionizable lipid nanoparticles protein corona analysis.Nature communications · 2026Review
- Integrated top-down and bottom-up proteomics enables precise characterization of proteoforms within the protein corona.Nature communications · 2026Article
- Determinants of protein corona adsorption and abundance revealed by interpretable machine learning across nanoparticle systems.Scientific reports · 2026Article
- High-Sensitivity Magnetic Levitation Reveals Intrinsic Protein Corona Heterogeneity on Identical Nanoparticles.bioRxiv : the preprint server for biology · 2026Article
- The protein corona at the nano-bio interface: the need for standardized methodology and opportunities for neurodegenerative disease intervention.RSC advances · 2026Review
- Controlling Macrophage Uptake of Gold Nanoparticles through the Design of an Effective Heterogeneous Coating.ACS applied materials & interfaces · 2026Article
- Advancing nanomedicine with machine learning: predicting protein corona and nano-bio interactions.Nanomedicine (London, England) · 2026Review
- Ligand-Mediated Proteome Remodeling Shapes Nanoparticle Protein Corona Composition for Deep Plasma Profiling.Research square · 2026Article
- Surface-Modified Polymeric Nanoparticles for Glioblastoma Therapy: A Review on Targeting Strategies and Delivery of Repurposed Drugs and Off-Label Non-Alkylating Agents.Pharmaceutics · 2026Review
- Mass spectrometry-based top-down proteomics for proteoform profiling of protein coronas.Nature protocols · 2026Review
- Steering spherical nucleic acids over metabolic organs for improved targeted drug delivery.Journal of nanobiotechnology · 2026Review
- Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The protein corona forms spontaneously on nanoparticle surfaces when nanomaterials are introduced into any biological system/fluid. Reliable characterization of the protein corona is, therefore, a vital step in the development of safe and efficient diagnostic and therapeutic nanomedicine products. 2134 published manuscripts on the protein corona are reviewed and a down-selection of 470 papers spanning 2000-2021, comprising 1702 nanoparticle (NP) systems is analyzed. This analysis reveals: i) most corona studies have been conducted on metal and metal oxide nanoparticles; ii) despite their overwhelming presence in clinical practice, lipid-based NPs are underrepresented in protein corona research, iii) studies use new methods to improve reliability and reproducibility in protein corona research; iv) studies use more specific protein sources toward personalized medicine; and v) careful characterization of nanoparticles after corona formation is imperative to minimize the role of aggregation and protein contamination on corona outcomes. As nanoparticles used in biomedicine become increasingly prevalent and biochemically complex, the field of protein corona research will need to focus on developing analytical approaches and characterization techniques appropriate for each unique nanoparticle formulation. Achieving such characterization of the nano-bio interface of nanobiotechnologies will enable more seamless development and safe implementation of nanoparticles in medicine.
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.