ReviewDrug delivery and translational research2022
Three-dimensional (3D) liver cell models - a tool for bridging the gap between animal studies and clinical trials when screening liver accumulation and toxicity of nanobiomaterials.
Review in Drug delivery and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 46 citations in OpenAlex.
- Transcriptomic responses to repeated exposure of human C3A liver spheroids to polystyrene nanoplastics.Archives of toxicology · 2026Article
- Vitamin E treatment modulates steatotic and attenuates oxidative stress in a MASLD in vitro model.Molecular biology reports · 2026Article
- Free Fatty acid-induced disruption of hepatic vitamin D metabolism impairs bone homeostasis in an in vitro 3D human liver-bone model.Archives of toxicology · 2026Article
- 3D Liver Fibrosis Models in Lab: A Novel Modality for Drug Screening.Pharmacology research & perspectives · 2026Review
- High-throughput human microfluidic organoid-on-a-chip platform for modeling liver diseases and screening nanotherapeutics.Journal of nanobiotechnology · 2026Article
- Application of 3D Cell Culture Techniques in Nanotoxicology: How Far Are We?Stem cell reviews and reports · 2026Review
- Nanomedicine for Cardiac Repair in Heart Failure: From Targeted Delivery to Regenerative Modulation.International journal of nanomedicine · 2026Review
- Evaluation of in vitro liver models and non-human primates for predicting ADAR RNA editing efficiency in human liver.Scientific reports · 2025Article
- Application of Induced Pluripotent Stem Cells (iPSCs) in Hereditary and Viral Diseases of the Liver: Modeling and Treatment.International journal of molecular sciences · 2025Review
- An accessible 3D HepG2/C3A liver spheroid model supporting the complete intrahepatocytic lifecycle ofParasitology · 2025Article
- From gut to liver: organoids as platforms for next-generation toxicology assessment vehicles for xenobiotics.Stem cell research & therapy · 2025Review
- Sacrificing Alginate in Decellularized Extracellular Matrix Scaffolds for Implantable Artificial Livers.Journal of functional biomaterials · 2025Article
- Hydrogel-Based Strategies for Liver Tissue Engineering.Chem & bio engineering · 2024Review
- Advances in drug-induced liver injury research: in vitro models, mechanisms, omics and gene modulation techniques.Cell & bioscience · 2024Review
- Article
- Ubiquitin specific peptidase (USP37) mediated effects in microscaffold-encapsulated cells: a comprehensive study on growth, proliferation and EMT.RSC advances · 2024Article
- Xeno-Free 3D Bioprinted Liver Model for Hepatotoxicity Assessment.International journal of molecular sciences · 2024Article
- Empowering personalized medicine: unleashing the potential of patient-derived explants in clinical practice.EXCLI journal · 2024Article
- Clinical observation of liposomal doxorubicin on liver and renal function in patients with breast cancer.Toxicology research · 2023Article
- Perspectives on Scaffold Designs with Roles in Liver Cell Asymmetry and Medical and Industrial Applications by Using a New Type of Specialized 3D Bioprinter.International journal of molecular sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the exciting properties and wide-reaching applications of nanobiomaterials (NBMs) in human health and medicine, their translation from bench to bedside is slow, with a predominant issue being liver accumulation and toxicity following systemic administration. In vitro 2D cell-based assays and in vivo testing are the most popular and widely used methods for assessing liver toxicity at pre-clinical stages; however, these fall short in predicting toxicity for NBMs. Focusing on in vitro and in vivo assessment, the accurate prediction of human-specific hepatotoxicity is still a significant challenge to researchers. This review describes the relationship between NBMs and the liver, and the methods for assessing toxicity, focusing on the limitations they bring in the assessment of NBM hepatotoxicity as one of the reasons defining the poor translation for NBMs. We will then present some of the most recent advances towards the development of more biologically relevant in vitro liver methods based on tissue-mimetic 3D cell models and how these could facilitate the translation of NBMs going forward. Finally, we also discuss the low public acceptance and limited uptake of tissue-mimetic 3D models in pre-clinical assessment, despite the demonstrated technical and ethical advantages associated with them. 3D culture models for use as in vitro alternatives to traditional methods and conventional in vivo animal testing for testing liver accumulation and toxicity of nanobiomaterials.
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.