TABLE 4.
Advantages and limitations of animal models and NAMs
| Advantages | Limitations | |
|---|---|---|
| Animal models | Effect on entire body assessed (i.e., histology, clinical chemistry) | Translation issue; does not identify all adverse events seen in humans nor drugs that prove to be nonefficacious in humans |
| Good safety record for phase I clinical trials | Optimal test species and strain not always clear | |
| Many disease models exist for efficacy assessment | Some models do not replicate human diseases accurately, and this can lead to clinical failures | |
| Identify mechanistic issues | Cost and throughput an issue for classic toxicology studies, to model efficacy in disease models, and when a fast assessment is needed (e.g., prepared food on the market potentially showing unexpected adverse events) | |
| Can study developmental stages although may not mirror human totally | Limited genetic variability in inbred strains and genetic drift in animal colonies | |
| Enables studies of medical devices | Irreproducibility is sometimes an issue | |
| NAMs | May address the 3Rs | Animals may need to be euthanized to provide cells for in vitro systems or other NAMs |
| In vitro assays | Use of human cells may provide better prediction of human responses | Translation issue; does not identify all types of injury within a tissue, adaptive responses, or interactions among body systems |
| May enable precision medicine by studying donors with unique characteristics | May reflect the response of an individual donor versus population; must investigate how many donors required; in vivo human studies do not predict all other humans | |
| Can control the test environment (e.g., dose of drug, duration of exposure) | May be difficult to keep cells differentiated, particularly if trying to mimic an in vivo chronic study | |
| Can be easier to study mechanistic questions of toxicity and efficacy | Fresh human cells may be difficult to obtain, particularly for complex platforms with multiple cell types (e.g., liver) | |
| Faster and can be less expensive than in vivo studies | Cost and throughput may depend on the question being asked; complex NAMs are expensive, usually just address one organ/tissue type, and are often low throughput | |
| May enable toxicity and efficacy testing in disease models | May be difficult to replicate disease models in vitro | |
| A relatively small amount of test materials is needed | Difficult to replicate responses that involve multiple cell types (e.g., immune cells and liver cells) | |
| At this time, cannot study all organs/tissues in the body | ||
| Irreproducibility is an issue | ||
| Do not replicate complexity of human system | ||
| Difficult to replicate pregnancy and developmental stages | ||
| Domain of applicability might be limited | ||
| Physical/chemical properties of substances might not be compatible with assay | ||
| Not able to replicate complex human/animal traits, like behavior | ||
| Can identify a bioactivity point of departure | Unclear how many cell types are needed to provide sensitivity/confidence that toxicity has been adequately evaluated | |
| Limited assessment over time versus in vivo studies (e.g., disease progression) | ||
| In silico assays | Might avoid the need for any new biologic testing | Critical that models are trained and tested accurately |
| Fast and expensive once models are built | May be difficult to obtain sufficient data | |
| Flexible in terms of what models can be built (e.g., disease, normal) | May be limited to chemical structure space | |
| Cannot always predict metabolic breakdown of compounds | ||
| At this time, models do not exist for all organs and tissues | ||
| Do not replicate complexity of human systems |