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Title
Brain organoids: A promising model to assess oxidative stress‐induced central nervous
system damage
Permalink
https://escholarship.org/uc/item/71b5r5x1
Journal
Developmental Neurobiology, 81(5)
ISSN
1932-8451
Authors
Oyefeso, Foluwasomi A
Muotri, Alysson R
Wilson, Christopher G
et al.
Publication Date
2021-07-01
DOI
10.1002/dneu.22828
Peer reviewed
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Dev Neurobiol. Author manuscript; available in PMC 2022 July 01.
Published in final edited form as:
Dev Neurobiol. 2021 July ; 81(5): 653–670. doi:10.1002/dneu.22828.
Brain organoids: a promising model to assess oxidative stress
induced Central Nervous System damage
Foluwasomi A. Oyefeso1, Alysson R. Muotri2, Christopher G. Wilson3, Michael J. Pecaut1
1Department of Biomedical Engineering Sciences, School of Medicine, Loma Linda University,
Loma Linda, CA
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2Department of Pediatrics/Cellular and Molecular Medicine, University of California San Diego, La
Jolla, CA USA
3Lawrence D. Longo, MD, Center for Perinatal Biology, School of Medicine, Loma Linda University,
Loma Linda, CA, United States
Abstract
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Oxidative stress (OS) is one of the most significant propagators of systemic damage with
implications for widespread pathologies such as vascular disease, accelerated aging, degenerative
disease, inflammation, and traumatic injury. OS can be induced by numerous factors such as
environmental conditions, lifestyle choices, disease states, and genetic susceptibility. It is tied
to the accumulation of free radicals, mitochondrial dysfunction, and insufficient antioxidant
protection, which leads to cell aging and tissue degeneration over time. Unregulated systemic
increase in reactive species, which contain harmful free radicals, can lead to diverse tissue-specific
OS responses and disease. Studies of OS in the brain, for example, have demonstrated how
this state contributes to neurodegeneration and altered neural plasticity. As the worldwide life
expectancy has increased over the last few decades, so has the prevalence of OS-related diseases
resulting from age-associated progressive tissue degeneration. Unfortunately, vital translational
research studies designed to identify and target disease biomarkers in human patients have been
impeded by many factors (e.g. limited access to human brain tissue for research purposes and poor
translation of experimental models). In recent years, stem cell-derived three-dimensional tissue
cultures known as “brain organoids” have taken the spotlight as a novel model for studying central
nervous system diseases. In this review, we discuss the potential of brain organoids to model the
responses of human neural cells to OS, noting current and prospective limitations. Overall, brain
organoids show promise as an innovative translational model to study CNS susceptibility to OS
and elucidate the pathophysiology of the aging brain.
Corresponding authors: Foluwasomi A. Oyefeso | foyefeso@students.llu.edu | Phone: 909-558-5923 (ext. 85923); Michael J. Pecaut
| mpecaut@llu.edu | Phone: 909-558-8372 (ext. 88372).
Author Contributions
FO conceptualized and prepared the manuscript text, figures, and tables. MP helped with revisions of the manuscript text, figures and
tables. All authors contributed to the editing of the manuscript leading to its submission.
Conflict of Interest Statements:
Dr. Muotri is a co-founder and has equity interest in TISMOO, a company dedicated to genetic analysis and brain organoids, focusing
on therapeutic applications customized for autism spectrum disorder and other neurological disorders with genetic origins. The terms
of this arrangement have been reviewed and approved by the University of California San Diego in accordance with its conflict of
interest policies.
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Keywords
Oxidative stress; stem cells; brain organoids; neurodevelopment; aging
Introduction
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Oxidative stress and the associated increases in inflammatory markers have long been
known to play major roles in both the normal aging process as well as in progressive
degenerative disease states including cerebrovascular disease, Alzheimer’s disease (AD),
Parkinson’s disease (PD), and neurodevelopmental deficits (Cenini, Lloret, & Cascella,
2019; De Silva & Miller, 2016; Hensley et al., 1996; Ikonomidou & Kaindl, 2011;
Metodiewa & Koska, 2000; Sorolla et al., 2008). Indeed, the World Health Organization
reports that global efforts are underway to treat aging-related diseases (Tan, Norhaizan,
Liew, & Sulaiman Rahman, 2018). Increases in the average human lifespan, thanks to
scientific advancements in healthcare, are now at odds with an increased susceptibility
to neurocognitive disease (A. Reynolds, Laurie, Mosley, & Gendelman, 2007). Recent
studies suggest that as the natural protective mechanisms of the central nervous system
(CNS) become less effective with age, oxidative stress and aberrant cell signaling lead to
tissue damage, cognitive dysfunction, and behavioral changes (J. K. Andersen, 2004; Berr,
Balansard, Arnaud, Roussel, & Alperovitch, 2000; d’Avila et al., 2018; Droge & Schipper,
2007; Vollert et al., 2011) (Figure 1). Despite our current understanding of oxidative stress
induced pathological changes at the tissue level, a lack of knowledge about the etiology of
cell-specific changes has presented a major challenge (Markesbery, 1997).
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Oxidative stress has been linked to neural cell stress responses (e.g. altered cell morphology,
function, and viability) and progressive endothelial dysfunction (i.e. increasing vascular
permeability of the blood brain barrier) and is a critical component of the pathophysiology
of CNS diseases (Chong, Li, & Maiese, 2005; Jenner, 2003; Kunsch & Medford, 1999;
Taibur Rahman, 2012). Chronically elevated reactive oxygen species (ROS) and cyclical,
low level (sometimes sub-clinical) inflammatory responses are increasingly recognized as
hallmarks of neurological disease (Halliwell, 1992; Koelink et al., 2012).
Physiological and Pathological roles of Reactive Oxygen Species
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ROS are broadly defined as oxygen-containing chemical species with reactive properties
(reactive molecules, free radicals, and nonradical species) and include superoxide anion
(O2−), hydrogen peroxide (H2O2), and hydroxyl radicals (OH•) (Schieber & Chandel, 2014;
J. Zhang et al., 2016). Under normal physiological conditions, ROS act as cell signaling
molecules and are critical in maintaining essential cellular and tissue level processes
(Finkel, 2011; Schieber & Chandel, 2014) in addition to maintaining homeostasis (Schieber
& Chandel, 2014; J. Zhang et al., 2016). These processes include, but are not limited
to, differentiation, proliferation, growth, apoptosis, morphological changes, and migration
(Brieger, Schiavone, Miller, & Krause, 2012). For example, energy production in the
mitochondria as well as immune defense functions involving peroxisomes and NADPH
dependent enzymes both result in elevated levels of reactive species (Finkel, 2011; Tarafdar
& Pula, 2018).
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Increases in ROS concentrations can result from tissue damage, disease, and/or
dysregulation of normal cellular function (Abdul-Muneer, Chandra, & Haorah, 2015).
Additionally, ROS production can be elevated by external factors such as drugs, poor
diet, radiation, air pollutants, and environmental chemicals (Gandhi & Abramov, 2012;
Joseph, Shukitt-Hale, Casadesus, & Fisher, 2005; Ryter et al., 2007). Given enough time,
excessive levels of concentrated ROS can become detrimental to tissue (Ahmadinejad, Geir
Moller, Hashemzadeh-Chaleshtori, Bidkhori, & Jami, 2017; Sies, Berndt, & Jones, 2017).
To prevent this process of oxidative damage, natural and artificial antioxidants serve as
reactive species “scavengers” (Pisoschi & Pop, 2015). The imbalance between prooxidant
reactive species and antioxidant scavengers is the primary component of oxidative stress
(Dalle-Donne, Rossi, Colombo, Giustarini, & Milzani, 2006; Li, Jia, & Trush, 2016).
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During a state of oxidative stress, high ROS levels accelerate cell aging and promote
damage to nucleic acids, carbohydrates, proteins, and lipid membranes (Berlett & Stadtman,
1997; Li et al., 2016; Raha & Robinson, 2000; Sohal, 2002). Although cells can protect
themselves by employing antioxidants to scavenge ROS, dysfunction and insufficient
activity of these agents can result in a chain reaction of oxidative damage that causes
DNA strand breaks, increased protein aggregation, and lipid peroxidation (Birben, Sahiner,
Sackesen, Erzurum, & Kalayci, 2012; Kalyanaraman, 2013). This damage can lead to
cell cycle arrest, signaling pathway dysregulation, and local upregulation of inflammatory
factors, consequently causing widespread tissue damage. Accordingly, excessive levels of
ROS are reported to play an important role in the development of chronic inflammation
(Biswas, 2016). Early in the inflammatory response, oxidative stress induces cells to release
proinflammatory cytokines that can contribute to cell activation and tissue remodeling (Zuo
et al., 2019). Left unchecked, this response can result in extensive tissue damage (including
long-term functional and morphological changes), further release of inflammatory factors,
and chronically elevated levels of ROS (D’Ambrosio, Panina-Bordignon, & Sinigaglia,
2003; Federico, Morgillo, Tuccillo, Ciardiello, & Loguercio, 2007; J. M. Zhang & An,
2007). Indeed, this cyclical activity can persist as chronic inflammation for years after
initiation (Dinarello, 2007; Schaue, Kachikwu, & McBride, 2012).
Central Nervous System Susceptibility to Oxidative Stress
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Specific Neural Cell responses to oxidative stress—ROS have long been known
to play an important role in CNS health (Gemma, Vila, Bachstetter, & Bickford, 2007;
Salim, 2017). At normal physiological concentrations, ROS are essential to neural cell
function (Angelova & Abramov, 2018; Popa-Wagner, Mitran, Sivanesan, Chang, & Buga,
2013). Studies demonstrate that they facilitate cell communication within neural tissue,
maintain populations of progenitor cells, and regulate long-term potentiation between
neurons (Brieger et al., 2012; Cobley, Fiorello, & Bailey, 2018). However, the brain is
particularly susceptible to oxidative stress when antioxidant systems are overwhelmed by
high concentrations of ROS (Birben et al., 2012). This increased risk is associated with the
abundant polyunsaturated lipids and high metabolic activity of the brain (Hirooka, 2008;
Melo et al., 2011; Patel, 2016; Uttara, Singh, Zamboni, & Mahajan, 2009). Furthermore,
relatively low physiological levels of antioxidant enzymes, limited regenerative potential,
and the presence of neurotransmitters that are easily oxidizable, all contribute to the high
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sensitivity of the brain to oxidative stress (J. H. Kim, Brown, Jenrow, & Ryu, 2008; Patel,
2016; Uttara et al., 2009). Studies report that prolonged oxidative stress causes region- and
cell-specific changes in neural tissue and brain vasculature (Hirooka, 2008; Salim, 2017).
The following sections highlight the pervasive influence of oxidative stress on neural cells
and call attention to the cell-specific responses which play a role in CNS disease.
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Neurons—Neurons are the characteristic cells of the CNS, and they direct a wide range
of sensory, motor, and integrative functions for the body. These cells form intricate
networks, communicating through means such as neuronal processes, soluble molecules
(i.e., neurotransmitters and cytokines), and synaptic or extracellular vesicles (Fainzilber,
Budnik, Segal, & Kreutz, 2011; Fruhbeis, Frohlich, Kuo, & Kramer-Albers, 2013). They are
generally classified by their overall morphology or function and can be further classified by
gene expression profiles or the complexity of their neuronal processes (axons and dendrites)
(Chklovskii, 2004; Poulin, Tasic, Hjerling-Leffler, Trimarchi, & Awatramani, 2016; Sharpee,
2014). Within neurons, ROS serve to regulate necessary functions including inflammation,
apoptosis, long-term potentiation, and synaptic plasticity (Serrano & Klann, 2004).
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Evidence suggests that populations of neurons have selective vulnerability and heightened
sensitivity to oxidative stress, particularly within specific brain regions such as the
hippocampus CA1 region and frontal cortex (X. K. Wang & Michaelis, 2010). When
ROS are unregulated, neurons under oxidative stress conditions can respond by releasing
additional ROS and other inflammatory factors. The resultant oxidative damage can lead
to neuronal dysfunction or death, triggering apoptotic and inflammatory response pathways
in surrounding cells (K. Choi, Kim, Kim, & Choi, 2009; Loh, Huang, De Silva, Tan, &
Zhu, 2006; Redza-Dutordoir & Averill-Bates, 2016). This cyclical response is the primary
driver of the chronic tissue degeneration associated with many neurological diseases and
dysfunctions (Koelink et al., 2012; X. K. Wang & Michaelis, 2010).
Glia (Oligodendrocytes, Astrocytes & Microglia)—Glial cells help to maintain
healthy neurons, but during persistent oxidative stress they can become dysfunctional
and contribute to neuronal vulnerability (Dringen, Gutterer, & Hirrlinger, 2000; X. K.
Wang & Michaelis, 2010). Whereas glial cells are typically more resistant than neurons to
oxidative damage, the mechanisms of neuron-glia crosstalk, along with neuron-neuron and
glia-glia crosstalk, are key factors in oxidative stress pathology (Benarroch, 2005; L. Huang,
Nakamura, Lo, & Hayakawa, 2019; Nutma, van Gent, Amor, & Peferoen, 2020; Peferoen,
Kipp, van der Valk, van Noort, & Amor, 2014).
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Oligodendrocytes—Oligodendrocytes offer structural and functional support in CNS
tissue by ensheathing axons to increase the conduction speed of electrical impulses (Simons
& Nave, 2015). These cells help to nourish axons, regulate signal traffic, and maintain the
balance of oxidative reactions with anti-oxidative defenses (Beckhauser, Francis-Oliveira,
& De Pasquale, 2016; Griot, Vandevelde, Richard, Peterhans, & Stocker, 1990). However,
sustained oxidative stress can alter differentiation, compromise production and maintenance
of axonal sheaths, and induce apoptosis of oligodendrocyte-lineage cells (French, Reid,
Mamontov, Simmons, & Grinspan, 2009; Giacci & Fitzgerald, 2018; Thorburne &
Juurlink, 1996). Increased oxidative stress in oligodendrocytes also correlates with increased
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astrocytic reactivity in vivo (Wellman, Cambi, & Kozai, 2018). Indeed, elevated ROS can
cause degeneration of oligodendrocytes and trigger a reactive phenotype in astrocytes (J. W.
Choi et al., 2004; Griot et al., 1990).
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Astrocytes—Like oligodendrocytes, astrocytes contribute to the structural and functional
support of neurons by enveloping synapses, releasing neurotrophic factors, contributing to
extracellular ion homeostasis, and regulating the blood-brain barrier (Benarroch, 2005).
“Astrogliosis” describes the activation, proliferation, morphological changes, and additional
responses of reactive astrocytes associated with pathological conditions in the CNS (Ben
Haim, Carrillo-de Sauvage, Ceyzeriat, & Escartin, 2015; Hsieh, Lin, Hsiao, & Yang, 2013).
Reactive astrocytes secrete ROS and inflammatory cytokines in an attempt to maintain CNS
homeostasis, which can inadvertently promote damage in normal tissues (Ben Haim et
al., 2015; Sheng, Hu, Feng, & Rock, 2013). Once activated, reactive astrocytes can cause
long-lasting changes to tissue morphology and influence the activity of surrounding cells—
particularly within the context of the tripartite synapse (Ben Haim et al., 2015; Liddelow et
al., 2017).
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Microglia—Microglia are the resident immune cells of the brain and play a major role
in maintaining CNS homeostasis (Colonna & Butovsky, 2017; Salter & Stevens, 2017).
In response to secreted signaling molecules or inflammatory factors, microglia alter their
phenotype and then migrate towards damaged or infected areas of the brain to release
additional factors or phagocytose harmful material (Bordt & Polster, 2014; Nakanishi &
Wu, 2009). Like astrocytes, microglia release inflammatory cytokines and ROS in response
to tissue damage but to a much greater degree (von Bernhardi, Eugenin-von Bernhardi, &
Eugenin, 2015). Once these cells arrive at distressed areas, released factors serve as immune
cell recruitment factors which lead to additional immune cell migration, ROS activity, and
cytokine secretion (Norden, Muccigrosso, & Godbout, 2015).
Due to this active response to damage, microglia play an intimate role in tissue repair and
the subsequent changes in tissue morphology. However, as with all cell types involved in
the oxidative stress response, if left unchecked, microglia can also contribute to the chronic,
cyclical activation of inflammatory factors (Martindale & Holbrook, 2002; A. Reynolds et
al., 2007). Indeed, prolonged microglial activation can alter the homeostatic set point and
cause long-term dysregulation of signaling pathways in both neural and immune cells (Perry
& Teeling, 2013).
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Because of the inflammatory nature of these cells, understanding how they respond to
oxidative stress is also important for investigating age-related neurodegenerative disease
(Patel, 2016; von Bernhardi et al., 2015; Wolf, Boddeke, & Kettenmann, 2017). Studies
of such disorders suggest that activated microglia play both neuroprotective (i.e., clearing
amyloid plaques) and neurotoxic (i.e., excessive and nonspecific release of inflammatory
factors) roles (Nakanishi & Wu, 2009; Salter & Stevens, 2017). Microglia are also essential
for synaptic pruning in CNS development and adult neuroplasticity. However, dysregulation
of the mechanisms which execute these roles can lead to the aberrant pruning seen in
neurodevelopmental and neurodegenerative disorders (Guarente & Kenyon, 2000; Salter &
Stevens, 2017).
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Endothelial Cells & Cerebral Vasculature—Oxidative stress in neural tissue can
significantly increase pathological risk for cells of the cerebral vasculature. The increased
migration of activated immune cells through vascular walls, in response to inflammatory
signals, damages the neurovascular unit, alters gene expression in endothelial cells, and
disrupts tight junctions in blood-tissue barriers such as the Blood-Brain Barrier (BBB)
(Carvalho & Moreira, 2018; Faraci, 2005). BBB breakdown is a significant risk factor
for neuroinflammation and neurodegeneration (Haorah, Knipe, Leibhart, Ghorpade, &
Persidsky, 2005; Haorah et al., 2007).
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Similarly, studies also report risks associated with the cerebral lymphatic system. Though
research on this subject is limited, lymphatic vessels typically facilitate the “clearing out”
of toxic metabolites and immune components in neural tissue, but aging-associated increase
in oxidative stress can reduce the contractility of these vessels (Louveau et al., 2015; Sun
et al., 2018; Thangaswamy, Bridenbaugh, & Gashev, 2012). Consequently, the meningeal
lymphatic drainage routes become blocked and amyloid-β begins to accumulate in the
meninges and brain parenchyma, notably within the hippocampus (Da Mesquita et al., 2018;
Kruk, Aboul-Enein, Kladna, & Bowser, 2019). Protein aggregates are known risk factors
repeatedly identified in patients with neurodegenerative diseases, though the mechanisms by
which they contribute to these diseases are not fully understood (Cioffi, Adam, & Broersen,
2019; Olivares, Huang, Branden, Greig, & Rogers, 2009).
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Neural Progenitor/Stem Cells (NPSCs)—In mammalian brains, neural progenitor
stem cells (NPSCs) are prominent during development and are retained in the adult brain
within the dentate gyrus of the hippocampus and subventricular zone of the anterior lateral
ventricles. NPSCs are vital for neurogenesis and gliogenesis. At physiological levels, several
studies (Cobley et al., 2018; Perez Estrada, Covacu, Sankavaram, Svensson, & Brundin,
2014; Srivastava, Tripathi, & Mishra, 2018) suggest that ROS production, even oxidative
stress, is important for the role of NPSC homeostasis, development, repair, regeneration,
and neuroplasticity (Chui, Zhang, Dai, & Shi, 2020; T. T. Huang, Zou, & Corniola, 2012;
Le Belle et al., 2011; Walton et al., 2012; Yokoyama, Kuroiwa, Yano, & Araki, 2008;
Yuan, Gu, Shan, Machado, & Arias-Carrion, 2016). However, persistent oxidative stress
induces maladaptive cell responses and disrupts repair mechanisms in these proliferating
cells, leading to altered gene expression and protein dysfunction (Musgrove et al., 2019;
Perez Estrada et al., 2014; Texel & Mattson, 2011; Vonk et al., 2020; Walton et al., 2012).
These pathological conditions can lead to loss of progenitor cells, altered neurogenesis and
gliogenesis, and significant morphological changes including reduced brain mass (Walton et
al., 2012).
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Oxidative Stress Induced Behavioral and Cognitive Changes—Therapeutic
strategies aimed at treating neurodegenerative diseases such as Alzheimer’s disease (AD)
and Parkinson’s disease (PD) have targeted oxidative stress because of its general
contribution to the induction and progression of brain disease: increased lipid peroxidation
and decreased polyunsaturated fatty acids, accumulation of redox metals, increased protein
and DNA oxidation, reduced metabolic activity, decreased cytochrome c oxidase, molecular
interactions with amyloid beta (Aβ) peptide, and accumulation of senile plaques and
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neurofibrillary tangles (W. J. Huang, Zhang, & Chen, 2016; Markesbery, 1997; Mattson,
Duan, Pedersen, & Culmsee, 2001; Nunez-Millacura, Tapia, Munoz, Maccioni, & Nunez,
2002; Olivares et al., 2009). For example, in PD patients, disease progression is marked by
a loss of dopaminergic neurons of the substantia nigra (Haining & Achat-Mendes, 2017).
Dopamine can act as a metal chelator its redox chemistry can promote conditions which
generate toxic free radicals, leading to neuronal damage (Uttara et al., 2009). Evidence
suggests that oxidative damage in the CNS in PD and other diseases not only leads
to localized neuronal degeneration but can also alter emotional well-being and worsen
neuropsychiatric disorders (Salim, 2017). Because of significant patient-patient variability in
brain network function, characterizing pathogenetic mechanisms at the level of individual
neuron and glial cell types provides an incomplete picture of the disease. Accordingly,
clinicians have emphasized the importance of using patient-specific models of CNS diseases
to identify universally relevant targets for treating the cognitive and behavioral deficits
associated with these diseases.
Traditional Oxidative Stress Models of the Human Brain
Our biochemical and physiological knowledge of human neurocognitive disease has
predominantly come from studies of post-mortem tissues, cultured human and non-human
cells, and non-human organisms, such as, nematodes, fish, rodents, and non-human primates
(Lewis, 2002). Despite the clear progress made in the field using traditional techniques,
these models are subject to limitations that have hindered the development of effective
therapeutic treatments for CNS diseases (Mimetas; Wolf et al., 2017). These limitations
include poor sample quality or availability, inconsistent characterization of the disease
mechanisms, and ineffective translation from models to patients (Table 1).
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For example, previous work involving tissues collected post-mortem from patients with
neurodegenerative diseases has identified signs of oxidative damage including DNA damage
and atypical concentrations of GABA, glutamate, and serotonin metabolites (Coppede &
Migliore, 2009; Eckman, Dixit, Nackenoff, Schrag, & Harrison, 2018). However, significant
biochemical changes can take place during the post-mortem interval before tissue processing
and lead to skewed results (Hynd, Lewohl, Scott, & Dodd, 2003). Furthermore, once brain
death occurs, we are unable to collect further data on functional processes essential to
understanding and targeting cell signaling pathways in humans (Gordon & McKinlay, 2012;
Starr, Tadi, & Pfleghaar, 2020).
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Besides post-mortem tissues, traditional 2-D cell cultures of human neural cells have
provided us with a greater understanding of near-physiological responses to oxidative stress
and temporally relevant morphological changes (Walter et al., 2019; Walton et al., 2012).
Key markers for neurodegeneration indicative of oxidative stress pathophysiology such as
protein misfolding and aggregation, abnormal neural cell reactivity, and neuronal death have
all been identified in cell culture models (Wolf et al., 2017; Xu et al., 2002). However,
even cultures generated through cell reprogramming technology from patients afflicted with
neurodegenerative diseases do not capture the entirety of the in in vivo pathology (Mitchell,
Scheibye-Knudsen, Longo, & de Cabo, 2015). Additionally, it can be difficult to maintain
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these cultures long-term while keeping neural cells in a non-reactive state (Sloan et al.,
2017).
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Many researchers still consider rodent and primate models to be best suited for evaluating
complex associations between environmental factors and biological endpoints, particularly
for testing antioxidant and countermeasure interventions for oxidative stress (Lees, Walters,
& Cox, 2016; Melov, 2002). Indeed, animal models provide more information about the
physiology of integrative systems, age-dependent risks, and the real-time responses of neural
cells in fully functional and interconnected brain tissue (Kregel & Zhang, 2007; Schiavone,
Jaquet, Trabace, & Krause, 2013; Wilhelm, Vytasek, Uhlik, & Vajner, 2016). For example,
the migration of activated microglia through cortical layers in damaged brain regions can be
tracked in animal models but not cell-based models (Wolf et al., 2017). Thus, animal models
are widely used to interrogate the acute and chronic actions of reactive species in aging
and oxidative stress, including genetic and epigenetic modification, regulation of antioxidant
defenses, and coordinated tissue responses (Balmus, Ciobica, Antioch, Dobrin, & Timofte,
2016; Lee et al., 2012; Melov, 2002; Pamplona & Costantini, 2011).
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Animal studies have also shown how morphological changes in brain tissue are related to
higher levels of cognitive or behavioral dysfunction (Butterfield, Howard, & LaFontaine,
2001; Droge & Schipper, 2007; McEwen, 2007; Opii et al., 2008; Picard & McEwen,
2018; Schiavone et al., 2013). In addition to physiology and morphology, numerous studies
involving transgenic animals (including some primates) have confirmed the influence of
genetic background on responses to oxidative stress (Cioffi et al., 2019; Crowe et al., 2016;
Fraser, Khaitovich, Plotkin, Paabo, & Eisen, 2005; J. M. Kim, Kim, & Son, 2018). Indeed,
modifications to genetic elements in animal models homologous to human variants have
frequently been used to identify oxidative stress-induced cognitive and behavioral changes
(Balmus et al., 2016; Cioffi et al., 2019; Schiavone et al., 2013; Sorce & Krause, 2009).
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Although considerable progress has been made using animal models, there are significant
functional differences between humans and other mammals in such processes as DNA
repair, immune response, and multi-system organ integration, which have hampered the
translation of experimental results to therapies for degenerative diseases (Mitchell et al.,
2015). Additionally, the lifespan of some species appears to be unaffected by high levels
of oxidative stress, even if initiated early in life (Buffenstein, Edrey, Yang, & Mele, 2008).
There are also significant anatomical differences in brain mass, cellular organization, and
regionalization between humans and other mammals which is highly relevant because
human brain regions are disproportionately damaged by oxidative stress, and the properties
of cerebral vasculature are non-uniform throughout the brain (Coyle & Puttfarcken, 1993;
Haces, Montiel, & Massieu, 2010; X. Wang et al., 2005).
Given these differences, it is perhaps not surprising that research conducted with common
animal models has often failed to appropriately translate to humans (Hu, Todhunter,
LaBarge, & Gartner, 2018; Shi, Buffenstein, Pulliam, & Van Remmen, 2010). Indeed,
despite high efficacy animal models, therapeutic strategies often fail in human clinical trials
(Carvalho & Moreira, 2018; Floyd, 1999; Kamat et al., 2008; Neal & Richardson, 2018).
Extrapolating from these studies has largely failed to slow disease progression in the human
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CNS (Kamat et al., 2008). Without an understanding of the intricate mechanisms underlying
neural cell death and dysfunction in neurodegenerative disorders in human neural tissue, it is
difficult to identify targets for therapeutic intervention (Melo et al., 2011). Though attempts
at “humanizing” animal models are underway, sophisticated alternative strategies are being
developed to model human tissue and organ-level responses (J. K. Andersen, 2004; Kamat et
al., 2008).
Novel Complex Models of Oxidative Stress in Human Brain Tissue using Stem-Cell Derived
3D Organoids
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Developing stem-cell-derived 3D brain tissue models—Due to the ethical and
practical limitations of interrogating live human brain tissue, a major challenge for studying
CNS disease progression is the lack of patient tissue samples, particularly for critical
developmental periods (Eckman et al., 2018; Sloan et al., 2017). To directly study oxidative
stress and neurodegeneration in functional human brain tissue, researchers have developed
three dimensional (3-D) human cell cultures derived from induced pluripotent stem cells
(iPSCs) (Halliwell & Whiteman, 2004). iPSCs can be generated from human fibroblasts
with the help of a few transcription factors, including Oct3/4,Sox2, Klf4, and c-Myc
(Takahashi et al., 2007; Yamanaka, 2012). Despite the technical limitations and considerable
start-up costs of isolating and culturing iPSCs, they have proven to be a useful biological
model due to their physiological relevance, reproducibility, and ability to model patientand disease-specific mechanisms of interest (Dolmetsch & Geschwind, 2011; Saha &
Jaenisch, 2009; Yamanaka, 2012). Though the process of generating these cultures from
reprogrammed patient-derived cells can be labor-intensive, once established, iPSC cultures
can be used to generate NPSCs. With recent advancements to cell culture methods and
analytical tools, these cells are now widely used in models of human CNS diseases (Okano
et al., 2013).
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Additional approaches can be used to form 3-D aggregates of NPSCs known as
“neurospheres” (a.k.a. neural spheroids or neuro-aggregates), free-floating or scaffold-based
clusters which retain neural precursor cells but also promote the differentiation of mature
cell phenotypes (Campos, 2004; Denham & Dottori, 2011; Hofrichter et al., 2017; Yagi et
al., 2012). Neurospheres can generate brain region-specific neurons and astrocytes which
model the progression of normal development and even various disease states (Begum et al.,
2015; Sloan et al., 2017). For example, they are useful in neurodegenerative disease research
to model aspects of familial AD mutations such as the accumulation of amyloid-β and
phosphorylated tau (Jorfi, D’Avanzo, Tanzi, Kim, & Irimia, 2018). As a result, the ability
of neurospheres to model morphological complexity and multiple levels of pathological
changes has provided key insights for both protective and degenerative mechanisms of
neural cell sensitivity to oxidative stress (Carletti, Piemonte, & Rossi, 2011; Chui et al.,
2020; Fike, Rosi, & Limoli, 2009; Madhavan, Ourednik, & Ourednik, 2006; Puschmann et
al., 2013; Tseng et al., 2014). Collectively these studies show that neurospheres, derived
from iPSCs, are valuable tools to study CNS development, disease, and tissue repair (Daadi,
2019; B. A. Reynolds & Rietze, 2005; Ring et al., 2012).
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These cultures resemble in vivo conditions more closely than traditional 2-D cultures,
thus facilitating the investigation of cell-ECM interactions, cell differentiation, cell
cell communication, morphological changes, and functional network activity (Centeno,
Cimarosti, & Bithell, 2018; Hofrichter et al., 2017; Pauly et al., 2018). They can be
maintained for long periods of time without significant reactive gliosis, allowing researchers
to more accurately model disease progression within human brain regions, with cultures
demonstrating disease-specific differences in protein/gene expression, cell function and
behavior, and coordinated network activity (Matigian et al., 2010; Pasca et al., 2015).
Recent advancements in cell-type specific mapping/sequencing techniques and experimental
methods will certainly allow researchers to examine these cultures in greater detail
throughout the course of development (Giandomenico, Sutcliffe, & Lancaster, 2020; Poli,
Magliaro, & Ahluwalia, 2019; Trevino et al., 2020). However, while neurospheres are quite
useful to evaluate changes to neural cell structure and function, these models are still limited
in their ability to model the complex network activity, spontaneous self-organization, and
diverse cell subpopulations found in the human brain.
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Brain organoids as models for neurological disease and neurodevelopment
—With these concepts in mind, in 2008 the Sasai lab developed a 3-D tissue model of
the cerebral cortex (a.k.a. cerebral organoids or cerebroids) (Eiraku et al., 2008). Further
methods to generate the structures widely known as “brain organoids” were defined by the
work of the Knoblich lab (Lancaster & Knoblich, 2014; Lancaster et al., 2013). Credit is
also due to the work of other labs for providing the brain organoid models widely used today
for numerous applications, but we will not cover them here as they have been discussed
extensively in previous reviews (Poli et al., 2019; Qian, Song, & Ming, 2019; H. Wang,
2018). Due to the pioneering work of these early studies, novel organoid models now assist
researchers in recapitulating the complex 3-D organization, spontaneous development of
brain-like regions, and functional behavior of differentiating neural cells (Cleber A. Trujillo
et al., 2019).
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Organoids are generated from embryonic stem cells (ESCs) or iPSCs, typically embedded
in Matrigel, and supplemented with factors to promote a certain developmental trajectory or
pathological state of the human brain (Clevers, 2016). Once they are of sufficient size and
development, organoids can serve as complex functional surrogates with similar mechanics
at the molecular, cellular, tissue, and organ level (Budday, Ovaert, Holzapfel, Steinmann, &
Kuhl, 2019; Goriely et al., 2015; Poldrack & Farah, 2015). Protocols to generate organoid
models of various tissues are now widely available. These cutting-edge methods include
guided, unguided, and assembloid strategies to generate brain organoids, which have led
to organoid-on-a-chip, xenograft, and chimera models described elsewhere (J. Andersen et
al., 2020; Chen et al., 2019; Tambalo & Lodato, 2020). With continued improvements,
organoids can be generated in high quantities with little batch-batch variability and thus
they may soon be established as thoroughly reproducible, scalable, and high-throughput
translational models (Huch, Knoblich, Lutolf, & Martinez-Arias, 2017; C. A. Trujillo &
Muotri, 2018; Velasco et al., 2019; Yoon et al., 2019).
Previously, organoids were considered to be best applied as developmental models because
research efforts failed to robustly produce endophenotypes of neurodegenerative diseases
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and cell aging that would allow researchers to transition from other stem cell-based
models (Qian et al., 2019). However, more recent approaches demonstrate the potential
of iPSC-based 3-D neural cell cultures to model various types of dementia (S. H. Choi
et al., 2014; Marotta, Kim, & Krainc, 2020; Zhu et al., 2019). Of particular interest is
the etiology of cytoskeletal remodeling, mitochondrial dysfunction, synaptic alterations,
protein accumulation, and genetic abnormalities. In light of these approaches, there is an
opportunity to apply knowledge from other iPSC-based models to generate 3-D organoids
which may provide novel insights about the role of oxidative stress in CNS disease
progression.
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Brain organoid models of oxidative stress—To date, only a handful of published
studies have investigated the oxidative-stress-induced responses in brain organoids and how
associated mechanisms may increase susceptibility to CNS diseases. In one such study,
researchers generated a multicellular 3-D human neurovascular unit organoid containing
endothelial cells, pericytes, astrocytes, microglia, oligodendrocytes and neurons to evaluate
the effects of hypoxia and neuroinflammation on BBB function (Nzou et al., 2020).
Organoids subjected to hypoxia treatment demonstrated increased BBB permeability, pro
inflammatory cytokine production, and oxidative stress, assessed by binding of reactive
oxygen and nitrogen species (RONS)-sensitive dyes and decreased mitochondrial ATP
production. The study also reported a reduction in ROS and inflammation upon treatment
with the antioxidant and anti-inflammatory molecule secoisolariciresinol diglucoside (SDG),
a free radical scavenger, and 2-arachidonoyl glycerol (2-AG), an endocannabinoid.
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Additional studies of hypoxia treatment on 3-D cerebral organoids have documented
protein disruption, altered differentiation, and cell death in intermediate neural progenitors
(Daviaud, Chevalier, Friedel, & Zou, 2019; Pasca et al., 2019). Another study generated
human midbrain organoids from iPS cells from patients with LRRK2-associated sporadic
PD, and reported increased gene expression of thioredoxin-interacting protein (TXNIP),
which is associated with lysosomal dysfunction and may mediate the PD pathophenotype
(H. Kim et al., 2019). Together, these studies demonstrate the utility of organoids to evaluate
the initial effects of oxidative stress on neural cells in a more complete tissue context, and
the secondary roles of the vascular system and of antioxidant treatment.
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Organoids are also useful to understand the importance of oxidative stress in the context
of radiation medicine and space biology (Schielke, Hartel, Durante, Ritter, & Schroeder,
2020; Vehlow, Deville, & Cordes, 2020). Exposure to ionizing radiation during patient
radiotherapy and spaceflight missions is known to alter brain tissue and its vasculature.
With the increasing access to radiotherapy treatments and human space travel it is
crucial to understand the mechanisms underlying these changes and to develop suitable
countermeasures (Xiao W. Mao et al., 2020; Xiao Wen Mao et al., 2016). A consistent
phenomenon observed following rodent brain exposure to “low-dose” ionizing radiation
is the persistence of oxidative stress and neuroinflammation followed later by cognitive
impairment, depending on the type and dose of radiation received (Pariset, Malkani,
Cekanaviciute, & Costes, 2020; Tseng et al., 2014). Interestingly, it is precisely because of
this property that we see a potential for using ionizing radiation as a tool to reliably produce
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oxidative stress in brain organoids, which should overcome the challenge of obtaining
uniform perfusion when using oxidative stress-inducing agents in cell culture media.
It remains to be investigated how various molecular processes are affected by oxidative
stress in brain organoid models, including DNA/RNA damage and repair, lipid peroxidation,
protein oxidation, cytokine release, and ROS/RNS dynamics. There is also a need to
understand how these effects are regulated by endogenous antioxidants, such as, superoxide
dismutase (SOD), glutathione peroxidase (GPx), glutathione reductase (GR), and catalase
(Cat) (Mariani, Polidori, Cherubini, & Mecocci, 2005). This will provide important baseline
information for assessing disease mechanisms and the actions of potential therapeutics.
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Limitations—As with all models, brain organoids are subject to many limitations.
The methods used to generate these brain organoids are technically changing and time
consuming, which creates challenges for batch-to-batch and study-to-study consistency
(Shou, Liang, Xu, & Li, 2020). As the field is still largely exploratory, it has become
difficult to define standards for culture methods and to set parameters for different classes
of organoids. Reports have also demonstrated that organoid culture conditions are inherently
stressful for cells and can impair the differentiation of cellular subtypes (Bhaduri et al.,
2020). Furthermore, due to the intrinsic complexity of brain tissue, researchers are currently
forced to select for certain features and discriminate against others; no one model features
all of the relevant cell types, extracellular matrix components, vasculature, and lymph
vessels found in the human brain.
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Structurally, the size of brain organoids is limited for reasons not well understood and this
creates a challenge for the health and long-term maintenance of cells within the interior of
the organoids. This has led to the development of alternative approaches such as air-liquid
interface organoid slices (Giandomenico et al., 2019). Though the complexity and self
organization of organoids is of intrinsic interest, it certainly cannot be stated that they fully
replicate the developmental trajectory, region specific morphology, molecular patterning, or,
disease phenotypes observed in the human brain. Major technical improvements are still
required to satisfactorily replicate these characteristics. Fortunately, the pace of research
efforts is rapidly increasing, promising to steadily advance state-of-the-art technology for
producing and characterizing brain organoids.
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Despite the limitations, a number of distinct advantages demonstrate the potential for
using brain organoids to model oxidate stress. Pharmacological and genetic tools have
made it possible to induce oxidative stress in brain organoids in defined ways for the
study of neurodegeneration and adaptive changes in cell function and behavior (Brawner,
Xu, Liu, & Jiang, 2017; Faravelli, Costamagna, Tamanini, & Corti, 2020; Hu et al.,
2018; Kagias, Nehammer, & Pocock, 2012; Kamat et al., 2008; Setia & Muotri, 2019).
The patient-derived iPSCs that can be used to generate organoids have already been
demonstrated to exhibit disease-specific effects of oxidative stress (Andrade, Nathanson,
Yeo, Menck, & Muotri, 2012). Indeed, a variety of oxidative stress-relevant CNS disorders
have already been modeled with brain organoids generated from patient-derived iPSCs
including schizophrenia, autism spectrum disorders, Rett syndrome, microcephaly, and
ZIKA virus infection (Kathuria et al., 2020; Koh, Tan, & Ng, 2018; Nassor et al., 2020).
Dev Neurobiol. Author manuscript; available in PMC 2022 July 01.
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Although the culture methods vary and the studies did not specifically set out to measure
oxidative stress, they capture key functional and anatomical features of development and
disease progression that are known to be influenced by ROS and inflammation.
Outlook
Author Manuscript
Clearly, organoid technology has created powerful tools to facilitate the field of regenerative
medicine and the development of personalized therapeutic interventions for diseases where
oxidative stress is a major participant. This point is salient as the number of personalized
medicines has doubled within four years and yet treatments for neurodegenerative diseases
are still largely ineffective (Jeremias, 2020). As culture methods continue to improve, brain
organoid models can be expected to provide a fresh perspective on the oxidative theory
of aging, identify cell-type specific responses to ROS and enable the evaluation of an
assortment of biomolecules as therapeutic targets.
Acknowledgments:
Funding and material support for this research is supported in part by NASA Research Grant NNX13AN34G and
the Loma Linda University School of Medicine Department of Basic Sciences.
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Figure 1.
Author Manuscript
Oxidative stress (OS) within the Central Nervous System (CNS) can be produced by
numerous stress factors such as aging, pollution, and exposure to ionizing radiation.
Cyclic production of OS factors contributes to damage and disease in a cell-, tissue-,
and organ-specific manner. Although traditional models of OS in the CNS are available,
three-dimensional cell cultures, notably brain organoids, offer some advantages and novel
insights for translational studies. Created with BioRender.com
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Table 1.
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Comparative analysis of experimental models for pathological oxidative stress in Central Nervous System
tissues
Advantages
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2D Cultures
Animal Models
Post-Mortem Human
Tissue
Brain Organoids (3D Culture)
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
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
Limitations
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