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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Dev Neurobiol. 2021 May 18;81(5):653–670. doi: 10.1002/dneu.22828

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