Table 1.
Comparative analysis of experimental models for pathological oxidative stress in Central Nervous System tissues
2D Cultures | Animal Models | Post-Mortem Human Tissue | Brain Organoids (3D Culture) | |
---|---|---|---|---|
Advantages | Abundant culture methods and analytical techniques | Comparable size and anatomical structure | Accurate size and anatomical structure | Recapitulate 3D structural organization and diffusion of biological factors |
Can be generated from human iPSCs and ESCs | Can monitor the behavior of specific cortical cell types | Specific cortical cell types and precise developmental cues | Can be generated from human iPSCs and ESCs | |
Widely used to study CNS disease progression | Widely available variants to study disease progression | Visible tissue degeneration in specific brain regions | Increasingly used to model human disease progression | |
Can model near-physiological morphological changes and responses to oxidative stress | Can obtain useful measures of altered cognitive and behavioral states | Can obtain patient-specific measures of disease states | Capacity for self-directed organization and differentiation | |
Highly scalable and high-throughput analysis of cell responses to biological factors | Can identify acute and chronic actions of reactive species during disease states | Can identify terminal pathological features of disease states across diverse human populations | Highly scalable and high-throughput analysis of cell responses to biological factors | |
Can obtain functional cell- and tissue-specific information using simplified and low-cost methods | Can obtain functional whole-body 3D information i.e. systemic responses | Can identify some functional measures with a short “post-mortem interval” | Can obtain functional organ-specific 3D information i.e. electrophysiological network activity patterns | |
Limitations | Tissue composition and cell state change rapidly and demonstrate limited complexity | Significant metabolic, anatomical, and physiological differences to humans | Rapid biochemical changes during processing | Reliance on growth factors and differentiation protocols |
Poor representation of the in vivo physiological environment; limited cell-cell interaction | Lifespan of some species unaffected by high levels of oxidative stress; developmental differences | Loss of data on altered cell function and behavior due to tissue degeneration | Current limitations on functional and developmental neural cell maturation | |
Lack of relevant data on cell-ECM or cell-scaffold interactions | Notable differences in brain mass, cellular organization, and regionalization | Decreasing donor/sample availability | Current methods are expensive, time-consuming, and characteristically provisional | |
Automatically defined apical-basal polarization of cells | Results from these models often fail to translate to humans due to inter-species differences | Artifacts of neuronal death are rapidly introduced into dissected samples | Studies have reported stressful culture conditions and limited oxygen and nutrient diffusion | |
Lack of 3D information; morphological constraints of 2D geometry | Greater neuronal density; lesser dendritic branching vs humans | Ethical and practical limitations of interrogating live/dead human brain tissue | Batch-batch or organoid-organoid variability in organization and “discrete” brain regions | |
Risk of teratoma formation in stem-cell based therapy; limited differentiation capacity | Different patterns of age-related gene expression alterations | Poor study control to determine if observations/results are due to disease or caused by other agents | Lack of consensus for optimal culture conditions and methods to generate brain organoids |