ReviewThe AAPS journal2024
State of the Art of Silica Nanoparticles: An Overview on Biodistribution and Preclinical Toxicity Studies.
Review in The AAPS journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Bone-seeking nanomaterials for rebalancing bone remodeling in osteoporosis.International journal of pharmaceutics: X · 2026Review
- In Vivo Fate of Diatom-Based Nanocarriers: Advances, Challenges, and Future Perspectives.International journal of molecular sciences · 2026Review
- Silicon quantum dots for neurotheranostic applications in dopamine detection.Journal of nanobiotechnology · 2026Review
- Collective Magnetic Mesoporous Silica Nanorobots for Targeted Oral Capsaicin Delivery in Colitis Intervention.Micromachines · 2026Article
- Controlled Cisplatin Delivery Using pH-Sensitive PAA-Grafted Mesoporous Silica Nanoparticles.ACS omega · 2026Article
- Interpreting the Theranostic Applications of Alumina and Silica Substrates in Cancer.Molecules (Basel, Switzerland) · 2026Review
- Nanotoxicity of Porous Silica Nanoparticles: Physicochemical Properties and Mechanistic Cellular Endpoints.Nanomaterials (Basel, Switzerland) · 2025Review
- ComparativeDalton transactions (Cambridge, England : 2003) · 2025Article
- Traditional Chinese medicine as potential adjuvants for tumor vaccines: a review of types, mechanisms, and forms.Frontiers in immunology · 2025Review
- Review
- The Genetic and Epigenetic Toxicity of Silica Nanoparticles: An Updated Review.International journal of nanomedicine · 2024Review
- Research progress of nanoparticles in diagnosis and treatment of hepatocellular carcinoma.Open life sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Over the past few years, nanoparticles have drawn particular attention in designing and developing drug delivery systems due to their distinctive advantages like improved pharmacokinetics, reduced toxicity, and specificity. Along with other successful nanosystems, silica nanoparticles (SNPs) have shown promising effects for therapeutic and diagnostic purposes. These nanoparticles are of great significance owing to their modifiable surface with various ligands, tunable particle size, and large surface area. The rate and extent of degradation and clearance of SNPs depend on factors such as size, shape, porosity, and surface modification, which directly lead to varying toxic mechanisms. Despite SNPs' enormous potential for clinical and pharmaceutical applications, safety concerns have hindered their translation into the clinic. This review discusses the biodistribution, toxicity, and clearance of SNPs and the formulation-related factors that ultimately influence clinical efficacy and safety for treatment. A holistic view of SNP safety will be beneficial for developing an enabling SNP-based drug product.
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.