| Literature DB >> 35507131 |
Melissa Anne Tutty1,2, Dania Movia3,4,5, Adriele Prina-Mello6,7,8.
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.Entities:
Keywords: 3D models; Hepatotoxicity; Liver; Nanobiomaterials; Nanomedicine
Mesh:
Year: 2022 PMID: 35507131 PMCID: PMC9066991 DOI: 10.1007/s13346-022-01147-0
Source DB: PubMed Journal: Drug Deliv Transl Res ISSN: 2190-393X Impact factor: 5.671
Fig. 1The pre-clinical assessment cascade for assessing NBM safety and efficacy. Following pre-screening and sterility assessment, a candidate NBM passes through physicochemical characterization, in vitro and in vivo experiments, before being deemed safe to enter human clinical trials
Fig. 2Structure of the lobule of the liver. This illustration includes many key elements of liver phenotype and function that cannot be successfully replicated in 2D culture, including ordered stacking of hepatocytes, formation of bile canaliculi, and blood circulation. Adapted from “Asklepios Atlas of the Human Anatomy” [22]
2D hepatocyte culture models: advantages and disadvantages. Abbreviations: CYP450, cytochromes P450; OECD, Organisation for Economic Co-operation and Development.
| Current gold standard for drug toxicity and metabolism studies | Low predictive value due to monocellular composition | [ | |
| Easy and cost-effective | Inability to reproduce liver architecture | ||
| Rapid loss of cell morphology and polarity | |||
| Small set-up costs | Rapid loss of ability to metabolise drugs | ||
| Decreased albumin synthesis | |||
| Incorporation of multiple hepatic cell types means greater in vivo relevance and tissue-mimetic responses to inflammatory stimuli | Limitations with the number of cell types that can be co-cultured | [ | |
| Lack of extracellular matrix (ECM) components | |||
| Hepatocyte-specific morphology/phenotype is maintained | High intra-laboratory variability | ||
| Increased CYP450 enzyme induction/activity | No standard, OECD-approved co-culture testing models established | ||
| Stable albumin production for up to 37 days | |||
| Increased phase I and II enzyme expression | Optimization is needed to determine appropriate culture conditions |
Fig. 3Overview of the various 2D and 3D in vitro models of the liver. Flow diagram illustrates the
source of liver cell/tissue, their potential 2D and 3D models which can be formed from both sources, the readouts that can be potentially measured, and their associated experimental endpoints. Figure adapted from Hepatocellular carcinoma, Chapter 3: In vitro models of the liver: disease modelling, drug discovery and clinical applications [14]
Key differences between 2D and 3D culture, regarding morphology, response to materials, in vivo likeness, and other key parameters
| Sheet-like, flat, stretched cells grown in monolayers; do not mimic natural architecture of liver | In vivo-like cell shape; high similarities to in vivo liver architecture | |
| Cells proliferate at a higher rate than in vivo | Cells proliferate at faster or slower rate than 2D culture, depending on cell type/3D system | |
| Often display different expression levels to human liver tissues | Protein/gene expression levels similar to those found in human liver tissues | |
| Unlimited access | Access is defined by the 3D morphology of the cultures as per in vivo conditions | |
| Cannot recapitulate cell–cell and/or cell-ECM interactions due to flat morphology | Appropriate interactions between cell–cell and cell-ECM are established | |
| Co-cultures can be formed; number of cell types co-cultured is limited | Tissue composition can be fully replicated (e.g., organoids) | |
| Sensitivity is often not comparable to the in vivo liver tissue | Better predictors of in vivo responses | |
| All cells are equally exposed to NBMs | Depending on culture morphology, NBMs may not penetrate the core and reach all cells, as per in vivo conditions | |
| Reproducible high-performance and simple but highly reductionist | Reproducibility depends on method, can be user-dependent, but it can be optimised | |
| Cheap, all reagents/materials commercially available | Often more expensive, time consuming, increased batch-to-batch variation |
Advantages and disadvantages of commonly used 3D culture methodologies
Easy to culture Mimic in vivo-like cell–cell and cell-ECM interactions Scalable and high-throughput (HTP) compliant Easily extracted for further experimentation | Size variability Limited diffusion if large Necrotic core formation Agglomeration Take time to form and show functionality | |
Hydrogels: in vivo-like 3D interactions Used to study cell aggressiveness/metastatic potential Scaffolds: can be combined with functional tests | Hydrogels: size/shape variation. Hard to reproduce Difficult cell extraction Scaffolds: cells can flatten/adhere to scaffold Difficult materials can affect growth | |
In vivo-like architecture In vivo-like complexity Patient specific Replicate in vivo-like cell interactions | Complex to culture Variation Less amenable to HTS Needs much optimization/validation May lack certain cell types/vasculature | |
In vivo-like architecture In vivo-like chemical/physical gradients, microenvironment | Flow of medium may disrupt cells Difficult to adapt to HTS Lack vasculature | |
In vivo-like architecture In vivo-like complexity Useful in modelling disease | Variation between donors Difficult to obtain Complex to culture/expensive to maintain Lack long-term viability |
Fig. 4The most common methods for spheroid formation, cultivation, and growth. A variety of different techniques for 3D spheroid production exist, each varying in complexity and ease of use. Common techniques include (A) static suspensions, or the liquid overlay technique, with spheroids formed from interruption of cell adhesion on non-adherent surfaces, (B) hanging drops, undertaken using commercial systems like InSphero™ Gravity Plus™, or using upturned petri dishes, whereby cells are seeded in small drops in medium and spheroids form due to gravitational forces, (C) rotary and spinning cultures, formed in vessels specifically designed to prevent cell adhesion, (D) magnet-assisted cultures or magnetic levitation, where cells are magnetised in culture, often by using nanoparticles, and pulled towards a magnet on top of the culture vessel, and (E) ultra-low attachment (ULA) surfaces and plates. Each technique is based on the principle to force cells to self-aggregate and compact into spheroidal 3D microtissues