Next Article in Journal
Female Reproductive Health and Exposure to Phthalates and Bisphenol A: A Cross Sectional Study
Previous Article in Journal
Acrylamide Content in Breast Milk: The Evaluation of the Impact of Breastfeeding Women’s Diet and the Estimation of the Exposure of Breastfed Infants to Acrylamide in Breast Milk
Previous Article in Special Issue
Pathomechanisms of Paclitaxel-Induced Peripheral Neuropathy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Considerations for a Reliable In Vitro Model of Chemotherapy-Induced Peripheral Neuropathy

1
Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA
2
Experimental Neurology Unit and Milan Center for Neuroscience, School of Medicine and Surgery, Milano-Bicocca University, 20900 Monza, Italy
3
Fujifilm Cellular Dynamics, Inc., Madison, WI 53711, USA
4
Investigative Toxicology Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
5
Bristol Myers Squib, Princeton, NJ 08540, USA
*
Author to whom correspondence should be addressed.
Toxics 2021, 9(11), 300; https://doi.org/10.3390/toxics9110300
Submission received: 1 October 2021 / Revised: 8 November 2021 / Accepted: 9 November 2021 / Published: 11 November 2021

Abstract

:
Chemotherapy-induced peripheral neuropathy (CIPN) is widely recognized as a potentially severe toxicity that often leads to dose reduction or discontinuation of cancer treatment. Symptoms may persist despite discontinuation of chemotherapy and quality of life can be severely compromised. The clinical symptoms of CIPN, and the cellular and molecular targets involved in CIPN, are just as diverse as the wide variety of anticancer agents that cause peripheral neurotoxicity. There is an urgent need for extensive molecular and functional investigations aimed at understanding the mechanisms of CIPN. Furthermore, a reliable human cell culture system that recapitulates the diversity of neuronal modalities found in vivo and the pathophysiological changes that underlie CIPN would serve to advance the understanding of the pathogenesis of CIPN. The demonstration of experimental reproducibility in a human peripheral neuronal cell system will increase confidence that such an in vitro model is clinically useful, ultimately resulting in deeper exploration for the prevention and treatment of CIPN. Herein, we review current in vitro models with a focus on key characteristics and attributes desirable for an ideal human cell culture model relevant for CIPN investigations.

1. Introduction

Chemotherapy-induced peripheral neuropathy (CIPN) is an adverse consequence of a wide variety of commonly used anticancer agents [1,2,3,4,5,6,7,8,9] and there are no gold standard therapeutics recommended for the prevention or treatment of CIPN [10]. CIPN frequently leads to dose reduction or discontinuation of therapy [4,11,12]. Clinical symptoms can persist long after completion of chemotherapy and severely diminish the quality of life of patients [1,13]. The pathophysiology of CIPN is complex and compounded by the fact that the various neurotoxic events culminating in CIPN are not necessarily related to the anticancer mechanisms of action for the agents that cause CIPN [9,14]. However, several lines of evidence point toward interactions involving various target components of the peripheral nervous system (PNS), including dorsal root ganglion (DRG), myelin, microtubules, mitochondria, ion channels, blood vessels, and nerve terminals [5,9,15,16,17,18]. A common pathology in CIPN is a “dying back” axon degeneration of distal nerve endings [9,19]. While it is not within the scope of this paper to review the pathogenesis of CIPN, readers are referred to several excellent and comprehensive reviews of the possible mechanisms involved in CIPN [8,16,20]. In this present paper, examples of agents that cause CIPN and can be used as tool compounds for the development of an in vitro model are provided to highlight the key features required for an in vitro cell model system designed to interrogate the pathogenesis of CIPN. Mechanistic understanding of axonal degeneration will provide insights into molecular pathways responsible for CIPN [9]. Development and appropriate use of cell-based models that recapitulate morphological and molecular features of peripheral neuropathy and application of relevant endpoint measurements will contribute greatly to understanding the pathogenesis of the disease [9,21,22]. This review aims to focus on key characteristics and attributes desirable for an ideal human cell culture model of CIPN for mechanistic explorations needed to elucidate the underlying pathophysiology and find effective treatments for CIPN.

2. Anticancer Agents That Cause CIPN

CIPN is a debilitating adverse effect with a prevalence ranging from 19% to over 85% [8] and caused by a spectrum of classes of widely used anticancer therapeutics including platinum-based agents, microtubule disruptors (taxanes and vinca alkaloids), proteasome, and angiogenesis inhibitors (Table 1) [1,2,3,4,5,7,8,9,23,24,25]. Clinically, CIPN symptoms may be acute, worsen with cumulative drug dosing, or emerge late during the course of treatment, even long after cessation of treatment [18]. Although many genetic and clinical risk factors have been identified, CIPN surveillance during and post-chemotherapy is needed as well as further study to better understand the pathophysiology of CIPN [8,18].
Among commonly used classes of cancer therapies for many blood and solid tumors, platinum analogs (e.g., cisplatin and oxaliplatin), proteasome inhibitors (e.g., bortezomib), immunomodulatory/antiangiogenic (e.g., thalidomide), and taxanes (e.g., paclitaxel) have markedly different chemical structures and mechanisms of actions. However, they all share a common adverse side effect: CIPN [16]. Clinically, CIPN involves the PNS that predominately leads to sensory axonal peripheral neuropathy characterized by a “stocking and glove” distribution of a plethora of potentially debilitating sensory effects [5,17]. Although the proposed pathogenesis of CIPN involves the cell bodies of the DRG concomitant with dying back axonal damage, the exact pathophysiology remains elusive [19,25]. Evidence suggests that neurotoxic chemotherapy drugs may involve various cellular components in the PNS by (1) forming DNA adducts, DNA damage, and alterations in DNA repair; (2) stabilization/disruption of microtubules; (3) targeting mitochondria; (4) functionally impairing ion channels; (5) production of oxidative stress; (6) dysregulation of calcium signaling; (7) altering cell signaling events; and/or (8) triggering immunological mechanisms through activation of satellite glial cells [9,14,15,16,17,18]. Development of an in vitro human peripheral neuronal cell model in which these various cellular components can be investigated will provide an urgently needed tool to dissect the cellular and molecular effects of potentially neurotoxic compounds.
The DRG of the PNS is vulnerable to neurotoxic damage since it is less protected by the blood–nerve barrier than the CNS [26,27]. This may partially explain the predominance of sensory involvement in patients with CIPN [9]. Platinum compounds form DNA adducts that can accumulate in the DRG [28,29], potentially leading to sensory neuronal cell death [30,31]. Paclitaxel has been reported to accumulate in the DRG through transmembrane transport mediated specifically by organic anion transporting polypeptide 1B (OATP1B) [32].
Central to the transport of proteins from the nerve cell body, down the length of the axon are microtubules [3]. A commonly used class of anticancer agents, taxanes, are microtubule binding agents, which produce polymerization that interferes with normal microtubule dynamics linked to disruption of axonal transport [24,33,34]. Another class of chemotherapy agents that cause CIPN are vinca alkaloids (vincristine, vinblastine, vinorelbine, and vinderine) that also bind tubulin and inhibit microtubule dynamics, leading to interference with the mitotic spindle [35]. A proteasome inhibitor, bortezomib, also affects microtubule polymerization independent of its mechanism as an anticancer agent [9,36].
Damage to the mitochondria that impairs mitochondrial function may play a pivotal role in CIPN [9,37]. For example, paclitaxel has been reported to cause functional impairment in axonal mitochondria [38]. Additionally, bortezomib has also been shown to cause accumulation of ubiquitin-conjugated proteins, mitochondrial dysfunction in peripheral sensory neurons (PNS) including Schwann cells, and endoplasmic reticulum stress particularly in Schwann cells [9,39,40,41].
There is reported evidence for direct toxicity to the distal axon terminals associated with peripheral neuropathy following cancer treatment with paclitaxel [42], thalidomide [43], and vincristine [44]. Oxaliplatin may affect the function of voltage-gated sodium (Na+) ion channels, inducing an acute peripheral neuropathy manifested by hyperexcitability [45,46,47].
Thalidomide is also associated with peripheral neuropathy through different proposed mechanisms [48]. Thalidomide-induced peripheral neuropathy is proposed to be mediated by its antiangiogenic effects [49]. Notably, attempts to establish a thalidomide rodent model both in vivo and in vitro have not been successful [9,50,51].
Although the underlying mechanisms responsible for the development of CIPN remain elusive and are further complicated by the diversity of anticancer agents that cause CIPN, there may be common degenerative pathways triggered when normal cellular processes and energy delivery mechanisms of the PNS become disrupted [9]. It is important to appreciate that mechanisms of CIPN may be shared by different classes of chemotherapeutic agents independent of their anticancer properties [3,4,5,6,7,8,9,12]. Some pathways, such as those activated by the mitogen-activated protein kinase (MAPK) family members and by mechanistic target of rapamycin (mTOR), could represent a common core of CIPN pathophysiology, as they have been demonstrated to be closely related to hyperalgesia and more in general to pain, a hallmark of CIPN [52,53,54,55,56]. The activation of MAPKs, and in particular of p38, has been observed to have a pivotal role in CIPN induced by different chemotherapeutic agents, such as paclitaxel, oxaliplatin, cisplatin, and vincristine [53,54,55,56] through their relation with toll-like receptor (TLR4) and nuclear factor kappa B (NF-kB) signaling pathways, not only in DRG neurons, but also in glial cells [52,53].

3. In Vitro Models

Development of fit-for-purpose in vitro models can contribute greatly to understanding the pathogenesis of CIPN and identifying intervention strategies [9,11,12,50,51,57,58,59,60]. Initially, the use of animal models enabled identifying the histopathological hallmarks of CIPN [61], but the need for a screening tool that is robust and reproducible highlights the necessity of simpler, faster, less expensive, and more relevant human models. This is also consistent with the principles of the 3Rs (Replacement, Reduction, and Refinement) in animal use in scientific research and testing [62].
The development of valid pre-clinical models of CIPN has been driven by the necessity to increase the knowledge of the pathogenic mechanisms of the different chemotherapeutic drugs, design more effective therapeutic strategies, screen for potential neurotoxicity of new drugs so as to inform patients of potential risks, and identify putative neuroprotective compounds [9].
Unfortunately, the clinical complexity of CIPN adds to the challenge of developing a unique and effective human in vitro model for CIPN. The clinical condition of CIPN is actually the sum of different pathological features shared by several antineoplastic drugs; however, these features may also differ according to antineoplastic drug class [14]. For this reason, the selection of the in vitro model should always consider the drugs being used in determining fit-for-purpose [57].
Over the years, different kinds of in vitro models have been developed, with an increasing complexity and informative degree. Initially, cell cultures were used for this purpose, starting from neuronal-like cell lines, such as PC-12 and SH-SY5Y, differentiated into a more mature neuronal phenotype using agents such as nerve growth factor and retinoic acid [57]. Such models have been followed by primary and/or organotypic culture of DRG, the focus target of chemotherapeutic drugs. The DRG is a cluster of neurons located adjacent to the spinal cord [22]. The DRG are comprised of a heterogeneous population of PSN derived from neural crest cells [22]. Primary rodent DRG explants or dissociated rodent DRG cell cultures have been used to recapitulate the pathophysiological features of peripheral neuropathy and axonal degeneration and to elucidate underlying mechanisms of CIPN [3,11,50,63,64].
DRGs are obtained from healthy mice or rats and cultured as organoids or dissociated to obtain primary cultures for testing neurotoxic as well as neuroprotective agents in vitro. Additionally, DRGs may be directly explanted from animals previously treated with test agents to evaluate drug effects on DRGs in situ. Both preclinical models have been used to elucidate mechanisms of CIPN [57]. As stated earlier, unprotected by the blood brain barrier (BBB), DRGs are more easily reached by drugs, and, at this level, relevant alterations have been observed in response to agents that cause CIPN [65]. One of the most notable effects of neurotoxic drugs in DRG in vitro models is the reduction of neurite length. DRG organotypic cultures have been mainly used as a neurotoxicity-screening model to evaluate the effect of the different drugs on the neurite elongation [66,67,68]. DRG organotypic and DRG dissociated primary cultures have been used to explore molecular mechanisms involved in the development of CIPN and find neuroprotective targets [69].
Primary cultures are limited by an inherent lack of reproducibility and standardization [70]. Furthermore, rodent systems are not an ideal substitute for a cell model of human origin. The lack of accessibility of human neural tissue (from biopsies or post-mortem) combined with challenges in culturing neuronal cells from these sources has resulted in only a limited contribution of human tissues in the understanding of the pathophysiology of CIPN to date.
Newer and more informative models have been created with the development of mixed co-cultures and with an emerging approach to create a 3D model by exploiting the Matrigel substrate [71,72,73]. The production of organoids from human induced pluripotent stem cells (hiPSCs) for developing functionally relevant in vitro models of the human brain and DRG is an area of active research [74,75]. With recent advances in microfluidic and confocal microscopic technologies, analysis of axonal neuropathy may be performed in the peripheral neural microphysiological system [72]. This 3D ‘nerve-on-chip’ model recapitulates the complexity of myelinated human peripheral nerves in vivo and allows for in vitro evaluation of nerve conduction velocity and neurite volume as potential endpoint measurements to assess damage in sensory axons. The technology is labor intensive, lacks reproducibility, and does not allow scaling at this point in early development [76,77]. It is not currently possible to create standardized organoids with a specific and reproducible cellular composition of mature native nervous tissue with electrophysiological activity [78,79].
Finally, CIPN is one of the most common adverse events of many antineoplastic drugs, but not all patients receiving therapy develop it, or to the same degree. There is indeed a genetic component, which makes the situation even more complex [80,81]. The latest frontier of in vitro model design is moving in that direction, with the use of patient-derived hiPSCs [82]. Such cell culture models would allow deriving differentiated neurons starting from somatic cells easily obtained from the patient (e.g., peripheral blood mononuclear cells or fibroblasts) for a personalized medicine approach that considers the genetic component.
Advances in stem cell biology to differentiate human embryonic stem cells (hESCs) or hiPSCs into PSN offer a promising technology to provide novel human-based, clinically relevant, in vitro models to study not only CIPN, but also PSN development and injury in general [22,83,84,85,86,87,88,89,90,91]. In particular, hiPSCs offer unique potential for reliable and robust applications for disease modeling and drug screening [92]. Their capacity for self-renewal and widely diverse differentiation, coupled with the ability to generate large quantities of specific cell types in a controlled and reproducible manner, make them ideal for high throughput screening platforms to discover and evaluate safety and efficacy of novel therapeutics [92].
A list of commercially available hiPSC-derived neurons (CNS and PNS) is provided in Table 2 and is not intended to be exhaustive given the rapidly evolving market for such cells. Unfortunately, to the best of our knowledge, no commercial vendors supply mature hiPSC-peripheral neurons as a differentiated ready-to-use, readily available product. Ncardia’s Peri4U™ human product had been available and successfully used to demonstrate sensitivity to CIPN agents [86,91]. However, Ncardia discontinued its commercial Peri4U™ product and instead offers a custom-ordered hiPSC-peripheral neuronal cell model that is not readily available. Some commercial vendors offer undifferentiated neural crest cells, but these cells require extensive expertise to maintain reproducibility and readily available cultures [93]. Furthermore, differences in seeding conditions, pluripotency status of hiPSCs prior to differentiation, and in the differentiation and maturation protocol can significantly alter the composition of the desired cell model [93]. Additionally, lack of in-depth phenotypic and functional characterization is a common drawback of all hiPSC-peripheral neuronal products currently available in the commercial market.
The application of hiPSC-derived CNS neurons to assess CIPN-inducing agents has been evaluated by several laboratories using commercially available cells; although results support the use of hiPSC CNS cells for toxicity testing of some compounds with CIPN liability [59,88,89,91,94,95,96], CNS cells do not recapitulate PNS cell susceptibility to CIPN. Therefore, the use of mature human PSN cell model is highly desirable to serve the global research community.
A reliable source of human PSN is essential (1) to develop a better understanding of the mechanisms involved in developing peripheral neuropathies, (2) to drive the development of next generation chemotherapeutic drugs and treatment regimes, and (3) for the development of therapeutic agents to mitigate CIPN.

4. Outcome Measurements in an Ideal Human Peripheral Sensory Neuronal Cell Model

4.1. Morphologic Features

Anatomically, peripheral neurons are pseudo-unipolar with cell bodies located in the DRG of the spinal cord and axons ending in the spinal cord and peripheral branches throughout the body [97]. Although the fundamental mechanisms of CIPN are not completely understood, a major pathology in this syndrome is a “dying back” phenomenon, referred to as Wallerian degeneration, characterized by axonal degeneration of distal nerve endings [19]. An understanding of the mechanistic basis of axonal degeneration will help to reveal the pathways and molecular dynamics responsible for CIPN. The application of models that recapitulate essential morphologic and functional features of peripheral neuropathy and apply fit-for-purpose endpoint measurements will contribute to understanding the pathogenesis of CIPN [21].
It seems reasonable to expect a hiPSC-derived PSN cell model will serve as an in vitro cell-based system that is sensitive to agents that may induce peripheral neuropathy and to screen for potential therapeutic modalities that may prevent or reverse the adverse effects of CIPN agents. The cellular measurements that are relevant to the human disease include neuronal cell viability, axon outgrowth, and degeneration in terms of neurite length, width, and area, and branching of axons that reflect the “dying back” axon degeneration observed clinically [9,57,89].

4.2. Gene Expression

The human PNS is a complex network of functionally distinct neurons responsible for sending and receiving transduction signals throughout the body [22]. Terminally differentiated sensory neurons are classified based on their innervation targets, neurotransmitter synthesis profiles, axon diameter, myelination status, neurotrophic factor dependency, and corresponding neurotrophic tyrosine receptor kinase (NTRK) expression signatures [22,98,99]. Peripheral sensory neurons (PSN) receive and transmit external stimuli to the spinal cord. The types of signals PSN transmit to the CNS include pain (nociception), touch (mechano-sensation), temperature (thermoception), and balance and position (proprioception) [97].
The transduction pathways for electrical currents in the PNS include genes for transient receptor potential channels (TRP), sodium channels (e.g., Nav1.8 and Nav1.9), potassium channels (e.g., TRAAK and TREK-1), and a variety of voltage-gated calcium channels [98]. An example of drug-induced increases in neuronal excitability and changes in gene expression of select neuronal ion channels in DRG comes from a study of paclitaxel-treated rats that provides insight into the molecular and cellular basis of paclitaxel-induced peripheral neuropathy [100].
To create a cell product substitute for neurons isolated from DRG, a human iPSC-derived PSN cell model is highly desirable. Next-generation transcriptomics has been applied to demonstrate differential expression between mouse and human DRGs in a variety of mRNAs for transient receptor potential channels, cholinergic receptors, potassium channels, sodium channels, and other markers/targets [101]. Using DRGs obtained from patients with and without neuropathic pain, electrophysiology and paired gene expression profiling revealed key contributing gene modules and signaling pathways related to neuropathic pain that may lead to therapeutic strategies [102]. Readers are referred to the full transcriptomic dataset and code for analysis that the authors have kindly made available at: https://www.utdallas.edu/bbs/painneurosciencelab/sensoryomics/hdrgclinical/ (accessed on 11 November 2021) [102].

4.3. Protein Expression

The most commonly used protein expression markers used in cell culture models of peripheral neurons include NeuN, a protein expressed exclusively in neuronal cell nuclei, and Tuj-1, also known as class III β-tubulin, a component of neuron-specific tubulin [22,50,57] (Table 3). Vimentin is a type III intermediate filament protein expressed in mesenchymal cells [103]. It is a non-specific biomarker used to stain cell bodies and processes of non-neuronal cells [50], compared to S100 that is specific for Schwann cells [104].

4.4. Functional Analysis

Besides the in vitro model used, it is also critically important to evaluate the kind of analyses performed: sometimes the problem is not the model, but the way assays are performed [105]. Each drug has its own mechanism of action and neurotoxicity, which should be considered. Some mainly affect the neuronal soma, whereas others have axons as main target. For example, vincristine affects electrophysiological properties of axons, but not of the soma [106]. A functional real-time assay has come from the development of the multi-electrode array (MEA). The MEA instrument provides real-time monitoring of spontaneous electrophysiological activity within in vitro neuronal cell cultures [107], including multiple cell types present in a DRG cell system [108]. Multi-well MEAs provide a functional platform for assessing compound-related effects combining a label-free, electrophysiological readout with the ability to multiplex with other relevant endpoints.
While MEA assays analyze functionality of neuronal cell cultures at the multicellular level, both patch clamp and intracellular Ca2+ measurement enable characterizing expression of functional receptors and ionic channels responsible for sensory processing at the single cell level [109,110]. Further, measurement of axonal transport function through labelled mitochondria can provide mechanistic insight of CIPN for some anticancer drugs such as paclitaxel [111].
Several authors have observed hyperexcitability in DRG neurons, due to alterations in sodium and potassium channels. In particular, Li and colleagues demonstrated the increased expression of the voltage-gated sodium channel 1.7 (Nav1.7) in those DRGs most commonly involved in CIPN after paclitaxel exposure [112]. More recently, other authors, using both mathematical and cell-based models exposed to several drugs, suggested that different channels may be involved also, such as sodium channel Nav1.8 as well as delayed rectifier potassium channels [113], and hyperpolarization-activated cyclic nucleotide-gated (HCN) channels [114].
Besides the electrophysiological alterations, studies have focused attention on the inflammatory response triggered by chemotherapeutic drugs on DRG neurons. Zhang and colleagues evidenced the activation of TLR4 and monocyte chemoattractant protein 1 (MCP-1) in DRG after paclitaxel exposure, with a consequent macrophage infiltration [115]. Macrophages were shown to activate an inflammatory response through the involvement of different molecular pathways, such as those of MAPKs [53] and calcineurin/nuclear factor-activated T cells (NFAT) [116]. This led to hypersensitivity and ultimately manifested as a measurable loss of intraepidermal nerve fibers
Another fundamental target of CIPN-induced alterations that has been identified in DRG-based models is mitochondria. Several authors have reported a reduction in mitochondrial bioenergetics and motility in DRG models [117,118]. This effect may be due to alterations in DRG neuronal cytoskeleton, often the target of the toxic effect of chemotherapeutic compounds, but also to cytokine production (such as IL-10) triggered by some CIPN agents [117,118].
All these aspects should be considered during the translation process towards a novel experimental model, such as hiPSCs, because we must ensure that these ad hoc cellular models possess the pivotal pathways identified in historical models.

4.5. High-Content Analysis

CIPN is predominantly a sensory neuropathy that is histopathologically characterized by “dying back” axonal degeneration that proceeds in a distal-to-proximal manner [19,57]. Image analysis of neurite outgrowth, therefore, is commonly used to quantify morphological alterations caused by CIPN-inducing agents [11,19,50,59,66,85,86,88,91]. Measurement of neurite length is frequently used to investigate axon degeneration in vitro [57]. Typically, fixed cell cultures are immunohistochemically stained with a neuronal marker, such as Tuj-1 (βIII-tubulin). Neurite length, area, and width are measured by the use of image acquisition platforms with image analysis software [50,57]. In addition, branching of neurites has been shown to be reflective of axonal damage by some CIPN-causing agents such as paclitaxel [72,86]. By multiplexing biomarkers of key attributes in cell cultures, including neurons, neurites, mitochondria, intermediate filaments, etc., a plethora of measurements can be made using high content image analysis software and analyzed for drug effects [50]. Therefore, it is critical that an in vitro cell model be amenable to such analyses that include neurite area, neurite branchpoints, neuronal cell number, cell viability, apoptosis, mitochondrial impairment, electrophysiological effects, etc. A multiparametric analysis system can detect all the changes in a cell culture model and therefore is able to discriminate drug-specific variations [50].
With recent advances in microfluidic and microscopy technologies, analysis of axonal neuropathy can now be performed in the peripheral neural microphysiological system [72]. This 3D nerve-on-chip model recapitulates the complexity of myelinated human peripheral nerves and allows use of neurite volumes as a potential endpoint measurement to assess damage in sensory axons.

4.6. Scalability, Sensitivity, Specificity and Reproducibility

An in vitro cellular model based on recapitulating the human PNS has the potential to greatly enhance the understanding of CIPN and contribute to development of effective therapies. Highly efficient and reproducible protocols for differentiation of hiPSCs into different types of peripheral neural cells is one requirement that is not trivial [119]. Furthermore, to meet the needs of a widely dispersed research community, production of the model system must be scalable. It is anticipated that scalable multi-well plate and automated systems will be used for mechanistic assays for investigative studies, disease modeling, drug screening and drug development. It will be critical to qualify the cell model and applied assays to ensure that accurate and precise results are obtained from these systems. Part of the qualification will be assessment of sensitivity and specificity using proper positive and negative control agents appropriate for each assay being applied. While there are many aspects to these studies that may result in variability issues, investigators will need to prepare rigorously defined protocols to test experimental conditions that contribute to sources of variability, including, for example, plate preparation, cell characterization, culture conditions, media, cell plating density, stability, etc., to ensure consistent results [120]. To obtain a standard, functionally active human iPSC-derived PNS model system, an integrated approach is required to fulfill the unmet needs of the scientific community engaged in PNS research.

5. Conclusions

Cell culture models serve as a valuable tool for mechanistic studies and drug screening strategies with appropriate outcome measures using functional, molecular, and biochemical methods. The application of stem cell technologies to generate cell type characteristic of the PNS is a promising approach to developing a human-relevant and translational model system. Here, we have described desirable components of an “ideal” cell model in terms of morphologic features, gene expression, protein expression, functionality, high content imaging, scalability, and performance in terms of sensitivity, specificity, and reproducibility. Key attributes of an ”ideal” human cell-based system to model CIPN, screen novel therapies for CIPN activity, and explore preventive and treatment strategies are listed in Table 4.
The application of hiPSCs to generate a variety of cell types found in the peripheral nervous system presents an exciting opportunity to explore the interactions of these various cell types (Schwann cells, satellite glial cells) in a controlled fashion. Advancements in understanding the role of Schwann cells in the pathology of neuronal disease, including peripheral neuropathy [121,122,123,124,125,126,127], highlight their consideration for development of more complex in vitro models of CIPN. In the meantime, a hiPSC-derived PSN cell model is urgently needed to advance the understanding of the pathogenesis of CIPN and identify gaps requiring deeper exploration for the prevention and treatment of CIPN.

Author Contributions

S.E. prepared the original draft manuscript while all authors contributed to the review and editing of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This writing was supported in part by the Developmental Therapeutics Program in the Division of Cancer Treatment and Diagnosis of the National Cancer Institute and has been funded in part with federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

Eugenia M. C. Jones is employed by Fujifilm Cellular Dynamics, Inc. (FCDI). The other authors declare no conflicts of interest. The funders had no role in the writing of the manuscript or in the decision to publish the article.

References

  1. Argyriou, A.A.; Kyritsis, A.P.; Makatsoris, T.; Kalofonos, H.P. Chemotherapy-induced peripheral neuropathy in adults: A comprehensive update of the literature. Cancer Manag. Res. 2014, 6, 135–147. [Google Scholar] [CrossRef] [Green Version]
  2. Cioroiu, C.; Weimer, L.H. Update on Chemotherapy-Induced Peripheral Neuropathy. Curr. Neurol. Neurosci. Rep. 2017, 17, 47. [Google Scholar] [CrossRef] [PubMed]
  3. Ferrier, J.; Pereira, V.; Busserolles, J.; Authier, N.; Balayssac, D. Emerging trends in understanding chemotherapy-induced peripheral neuropathy. Curr. Pain Headache Rep. 2013, 17, 364. [Google Scholar] [CrossRef] [PubMed]
  4. Miltenburg, N.C.; Boogerd, W. Chemotherapy-induced neuropathy: A comprehensive survey. Cancer Treat. Rev. 2014, 40, 872–882. [Google Scholar] [CrossRef] [PubMed]
  5. Park, S.B.; Goldstein, D.; Krishnan, A.V.; Lin, C.S.; Friedlander, M.L.; Cassidy, J.; Koltzenburg, M.; Kiernan, M.C. Chemotherapy-induced peripheral neurotoxicity: A critical analysis. CA Cancer J. Clin. 2013, 63, 419–437. [Google Scholar] [CrossRef] [PubMed]
  6. Staff, N.P.; Grisold, A.; Grisold, W.; Windebank, A.J. Chemotherapy-induced peripheral neuropathy: A current review. Ann. Neurol. 2017, 81, 772–781. [Google Scholar] [CrossRef]
  7. Starobova, H.; Vetter, I. Pathophysiology of Chemotherapy-Induced Peripheral Neuropathy. Front. Mol. Neurosci. 2017, 10, 174. [Google Scholar] [CrossRef]
  8. Zajączkowska, R.; Kocot-Kępska, M.; Leppert, W.; Wrzosek, A.; Mika, J.; Wordliczek, J. Mechanisms of Chemotherapy-Induced Peripheral Neuropathy. Int. J. Mol. Sci. 2019, 20, 1451. [Google Scholar] [CrossRef] [Green Version]
  9. Eldridge, S.; Guo, L.; Hamre, J., III. A Comparative Review of Chemotherapy-Induced Peripheral Neuropathy in In Vivo and In Vitro Models. Toxicol. Pathol. 2020, 48, 190–201. [Google Scholar] [CrossRef]
  10. Loprinzi, C.L.; Lacchetti, C.; Bleeker, J.; Cavaletti, G.; Chauhan, C.; Hertz, D.L.; Kelley, M.R.; Lavino, A.; Lustberg, M.B.; Paice, J.A.; et al. Prevention and Management of Chemotherapy-Induced Peripheral Neuropathy in Survivors of Adult Cancers: ASCO Guideline Update. J. Clin. Oncol. 2020, 38, 3325–3348. [Google Scholar] [CrossRef]
  11. Fehrenbacher, J.C. Chemotherapy-Induced Peripheral Neuropathy. In Progress in Molecular Biology and Translational Science; Price, T.J., Dussor, G., Eds.; Academic Press: Cambridge, MA, USA, 2015; Chapter 16; Volume 131, pp. 471–508. [Google Scholar]
  12. Han, Y.; Smith, M.T. Pathobiology of cancer chemotherapy-induced peripheral neuropathy (CIPN). Front. Pharmacol. 2013, 4, 156. [Google Scholar] [CrossRef] [Green Version]
  13. Windebank, A.J.; Grisold, W. Chemotherapy-induced neuropathy. J. Peripher. Nerv. Syst. 2008, 13, 27–46. [Google Scholar] [CrossRef]
  14. Hu, S.; Huang, K.M.; Adams, E.J.; Loprinzi, C.L.; Lustberg, M.B. Recent Developments of Novel Pharmacologic Therapeutics for Prevention of Chemotherapy-Induced Peripheral Neuropathy. Clin. Cancer Res. 2019, 25, 6295–6301. [Google Scholar] [CrossRef] [PubMed]
  15. Balayssac, D.; Ferrier, J.; Descoeur, J.; Ling, B.; Pezet, D.; Eschalier, A.; Authier, N. Chemotherapy-induced peripheral neuropathies: From clinical relevance to preclinical evidence. Expert Opin. Drug Saf. 2011, 10, 407–417. [Google Scholar] [CrossRef] [PubMed]
  16. Carozzi, V.A.; Canta, A.; Chiorazzi, A. Chemotherapy-induced peripheral neuropathy: What do we know about mechanisms? Neurosci. Lett. 2015, 596, 90–107. [Google Scholar] [CrossRef]
  17. Hausheer, F.H.; Schilsky, R.L.; Bain, S.; Berghorn, E.J.; Lieberman, F. Diagnosis, management, and evaluation of chemotherapy-induced peripheral neuropathy. Semin. Oncol. 2006, 33, 15–49. [Google Scholar] [CrossRef] [PubMed]
  18. Seretny, M.; Currie, G.L.; Sena, E.S.; Ramnarine, S.; Grant, R.; MacLeod, M.R.; Colvin, L.A.; Fallon, M. Incidence, prevalence, and predictors of chemotherapy-induced peripheral neuropathy: A systematic review and meta-analysis. Pain 2014, 155, 2461–2470. [Google Scholar] [CrossRef] [Green Version]
  19. Fukuda, Y.; Li, Y.; Segal, R.A. A Mechanistic Understanding of Axon Degeneration in Chemotherapy-Induced Peripheral Neuropathy. Front. Neurosci. 2017, 11, 481. [Google Scholar] [CrossRef] [PubMed]
  20. Laforgia, M.; Laface, C.; Calabrò, C.; Ferraiuolo, S.; Ungaro, V.; Tricarico, D.; Gadaleta, C.D.; Nardulli, P.; Ranieri, G. Peripheral Neuropathy under Oncologic Therapies: A Literature Review on Pathogenetic Mechanisms. Int. J. Mol. Sci. 2021, 22, 1980. [Google Scholar] [CrossRef]
  21. Hoke, A. Animal models of peripheral neuropathies. Neurotherapeutics 2012, 9, 262–269. [Google Scholar] [CrossRef] [Green Version]
  22. Jones, I.; Yelhekar, T.D.; Wiberg, R.; Kingham, P.J.; Johansson, S.; Wiberg, M.; Carlsson, L. Development and validation of an in vitro model system to study peripheral sensory neuron development and injury. Sci. Rep. 2018, 8, 15961. [Google Scholar] [CrossRef] [Green Version]
  23. Addington, J.; Freimer, M. Chemotherapy-induced peripheral neuropathy: An update on the current understanding. F1000Research 2016, 5, 1466. [Google Scholar] [CrossRef] [Green Version]
  24. Brzezinski, K. Chemotherapy-induced polyneuropathy. Part I. Pathophysiology. Contemp. Oncol. 2012, 16, 72–78. [Google Scholar] [CrossRef] [Green Version]
  25. Grisold, W.; Cavaletti, G.; Windebank, A.J. Peripheral neuropathies from chemotherapeutics and targeted agents: Diagnosis, treatment, and prevention. Neuro-Oncology 2012, 14, iv45–iv54. [Google Scholar] [CrossRef] [Green Version]
  26. Allen, D.; Kiernan, J. Permeation of proteins from the blood into peripheral nerves and ganglia. Neuroscience 1994, 59, 755–764. [Google Scholar] [CrossRef]
  27. Reinhold, A.K.; Rittner, H.L. Barrier function in the peripheral and central nervous system—A review. Pflügers Arch. Eur. J. Physiol. 2017, 469, 123–134. [Google Scholar] [CrossRef] [PubMed]
  28. Gregg, R.W.; Molepo, J.M.; Monpetit, V.J.; Mikael, N.Z.; Redmond, D.; Gadia, M.; Stewart, D.J. Cisplatin neurotoxicity: The relationship between dosage, time, and platinum concentration in neurologic tissues, and morphologic evidence of toxicity. J. Clin. Oncol. 1992, 10, 795–803. [Google Scholar] [CrossRef] [PubMed]
  29. Krarup-Hansen, A.; Rietz, B.; Krarup, C.; Heydorn, K.; Rorth, M.; Schmalbruch, H. Histology and platinum content of sensory ganglia and sural nerves in patients treated with cisplatin and carboplatin: An autopsy study. Neuropathol. Appl. Neurobiol. 1999, 25, 29–40. [Google Scholar] [CrossRef] [PubMed]
  30. Dzagnidze, A.; Katsarava, Z.; Makhalova, J.; Liedert, B.; Yoon, M.S.; Kaube, H.; Limmroth, V.; Thomale, J. Repair capacity for platinum-DNA adducts determines the severity of cisplatin-induced peripheral neuropathy. J. Neurosci. 2007, 27, 9451–9457. [Google Scholar] [CrossRef] [Green Version]
  31. Ta, L.E.; Espeset, L.; Podratz, J.; Windebank, A.J. Neurotoxicity of oxaliplatin and cisplatin for dorsal root ganglion neurons correlates with platinum-DNA binding. Neurotoxicology 2006, 27, 992–1002. [Google Scholar] [CrossRef]
  32. Leblanc, A.F.; Sprowl, J.A.; Alberti, P.; Chiorazzi, A.; Arnold, W.D.; Gibson, A.A.; Hong, K.W.; Pioso, M.S.; Chen, M.; Huang, K.M.; et al. OATP1B2 deficiency protects against paclitaxel-induced neurotoxicity. J. Clin. Investig. 2018, 128, 816–825. [Google Scholar] [CrossRef] [PubMed]
  33. LaPointe, N.E.; Morfini, G.; Brady, S.T.; Feinstein, S.C.; Wilson, L.; Jordan, M.A. Effects of eribulin, vincristine, paclitaxel and ixabepilone on fast axonal transport and kinesin-1 driven microtubule gliding: Implications for chemotherapy-induced peripheral neuropathy. Neurotoxicology 2013, 37, 231–239. [Google Scholar] [CrossRef] [Green Version]
  34. Theiss, C.; Meller, K. Taxol impairs anterograde axonal transport of microinjected horseradish peroxidase in dorsal root ganglia neurons in vitro. Cell Tissue Res. 2000, 299, 213–224. [Google Scholar] [CrossRef] [PubMed]
  35. Topp, K.S.; Tanner, K.D.; Levine, J.D. Damage to the cytoskeleton of large diameter sensory neurons and myelinated axons in vincristine-induced painful peripheral neuropathy in the rat. J. Comp. Neurol. 2000, 424, 563–576. [Google Scholar] [CrossRef]
  36. Arastu-Kapur, S.; Anderl, J.L.; Kraus, M.; Parlati, F.; Shenk, K.D.; Lee, S.J.; Muchamuel, T.; Bennett, M.K.; Driessen, C.; Ball, A.J.; et al. Nonproteasomal targets of the proteasome inhibitors bortezomib and carfilzomib: A link to clinical adverse events. Clin. Cancer Res. 2011, 17, 2734–2743. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Canta, A.; Pozzi, E.; Carozzi, V.A. Mitochondrial Dysfunction in Chemotherapy-Induced Peripheral Neuropathy (CIPN). Toxics 2015, 3, 198–223. [Google Scholar] [CrossRef] [Green Version]
  38. Flatters, S.J.L.; Bennett, G.J. Studies of peripheral sensory nerves in paclitaxel-induced painful peripheral neuropathy: Evidence for mitochondrial dysfunction. Pain 2006, 122, 245–257. [Google Scholar] [CrossRef] [Green Version]
  39. Casafont, I.; Berciano, M.T.; Lafarga, M. Bortezomib induces the formation of nuclear poly(A) RNA granules enriched in Sam68 and PABPN1 in sensory ganglia neurons. Neurotox. Res. 2010, 17, 167–178. [Google Scholar] [CrossRef] [PubMed]
  40. Cavaletti, G.; Gilardini, A.; Canta, A.; Rigamonti, L.; Rodriguez-Menendez, V.; Ceresa, C.; Marmiroli, P.; Bossi, M.; Oggioni, N.; D’Incalci, M.; et al. Bortezomib-induced peripheral neurotoxicity: A neurophysiological and pathological study in the rat. Exp. Neurol. 2007, 204, 317–325. [Google Scholar] [CrossRef]
  41. Shin, Y.K.; Jang, S.Y.; Lee, H.K.; Jung, J.; Suh, D.J.; Seo, S.Y.; Park, H.T. Pathological adaptive responses of Schwann cells to endoplasmic reticulum stress in bortezomib-induced peripheral neuropathy. Glia 2010, 58, 1961–1976. [Google Scholar] [CrossRef]
  42. Melli, G.; Jack, C.; Lambrinos, G.L.; Ringkamp, M.; Hoke, A. Erythropoietin protects sensory axons against paclitaxel-induced distal degeneration. Neurobiol. Dis. 2006, 24, 525–530. [Google Scholar] [CrossRef]
  43. Isoardo, G.; Bergui, M.; Durelli, L.; Barbero, P.; Boccadoro, M.; Bertola, A.; Ciaramitaro, P.; Palumbo, A.; Bergamasco, B.; Cocito, D. Thalidomide neuropathy: Clinical, electrophysiological and neuroradiological features. Acta Neurol. Scand. 2004, 109, 188–193. [Google Scholar] [CrossRef] [PubMed]
  44. Silva, A.; Wang, Q.; Wang, M.; Ravula, S.K.; Glass, J.D. Evidence for direct axonal toxicity in vincristine neuropathy. J. Peripher. Nerv. Syst. 2006, 11, 211–216. [Google Scholar] [CrossRef] [PubMed]
  45. Adelsberger, H.; Quasthoff, S.; Grosskreutz, J.; Lepier, A.; Eckel, F.; Lersch, C. The chemotherapeutic oxaliplatin alters voltage-gated Na(+) channel kinetics on rat sensory neurons. Eur. J. Pharmacol. 2000, 406, 25–32. [Google Scholar] [CrossRef]
  46. Sittl, R.; Lampert, A.; Huth, T.; Schuy, E.T.; Link, A.S.; Fleckenstein, J.; Alzheimer, C.; Grafe, P.; Carr, R.W. Anticancer drug oxaliplatin induces acute cooling-aggravated neuropathy via sodium channel subtype Na(V)1.6-resurgent and persistent current. Proc. Natl. Acad. Sci. USA 2012, 109, 6704–6709. [Google Scholar] [CrossRef] [Green Version]
  47. Webster, R.G.; Brain, K.L.; Wilson, R.H.; Grem, J.L.; Vincent, A. Oxaliplatin induces hyperexcitability at motor and autonomic neuromuscular junctions through effects on voltage-gated sodium channels. Br. J. Pharmacol. 2005, 146, 1027–1039. [Google Scholar] [CrossRef] [PubMed]
  48. Giannini, F.; Volpi, N.; Rossi, S.; Passero, S.; Fimiani, M.; Cerase, A. Thalidomide-induced neuropathy: A ganglionopathy? Neurology 2003, 60, 877–878. [Google Scholar] [CrossRef]
  49. Kirchmair, R.; Tietz, A.B.; Panagiotou, E.; Walter, D.H.; Silver, M.; Yoon, Y.S.; Schratzberger, P.; Weber, A.; Kusano, K.; Weinberg, D.H.; et al. Therapeutic angiogenesis inhibits or rescues chemotherapy-induced peripheral neuropathy: Taxol- and thalidomide-induced injury of vasa nervorum is ameliorated by VEGF. Mol. Ther. 2007, 15, 69–75. [Google Scholar] [CrossRef]
  50. Guo, L.; Hamre, J., III; Eldridge, S.; Behrsing, H.P.; Cutuli, F.M.; Mussio, J.; Davis, M. Editor’s Highlight: Multiparametric Image Analysis of Rat Dorsal Root Ganglion Cultures to Evaluate Peripheral Neuropathy-Inducing Chemotherapeutics. Toxicol. Sci. 2017, 156, 275–288. [Google Scholar] [CrossRef] [Green Version]
  51. Hoke, A.; Ray, M. Rodent models of chemotherapy-induced peripheral neuropathy. ILAR J. 2014, 54, 273–281. [Google Scholar] [CrossRef] [Green Version]
  52. Inyang, K.E.; McDougal, T.A.; Ramirez, E.D.; Williams, M.; Laumet, G.; Kavelaars, A.; Heijnen, C.J.; Burton, M.; Dussor, G.; Price, T.J. Alleviation of paclitaxel-induced mechanical hypersensitivity and hyperalgesic priming with AMPK activators in male and female mice. Neurobiol. Pain 2019, 6, 100037. [Google Scholar] [CrossRef] [PubMed]
  53. Li, Y.; Zhang, H.; Kosturakis, A.K.; Cassidy, R.M.; Zhang, H.; Kennamer-Chapman, R.M.; Jawad, A.B.; Colomand, C.M.; Harrison, D.S.; Dougherty, P.M. MAPK signaling downstream to TLR4 contributes to paclitaxel-induced peripheral neuropathy. Brain Behav. Immun. 2015, 49, 255–266. [Google Scholar] [CrossRef] [Green Version]
  54. Meng, J.; Zhang, Q.; Yang, C.; Xiao, L.; Xue, Z.; Zhu, J. Duloxetine, a Balanced Serotonin-Norepinephrine Reuptake Inhibitor, Improves Painful Chemotherapy-Induced Peripheral Neuropathy by Inhibiting Activation of p38 MAPK and NF-kappaB. Front. Pharmacol. 2019, 10, 365. [Google Scholar] [CrossRef] [PubMed]
  55. Qin, B.; Li, Y.; Liu, X.; Gong, D.; Zheng, W. Notch activation enhances microglial CX3CR1/P38 MAPK pathway in rats model of vincristine-induced peripheral neuropathy. Neurosci. Lett. 2020, 715, 134624. [Google Scholar] [CrossRef] [PubMed]
  56. Reyes-Gibby, C.C.; Wang, J.; Yeung, S.J.; Shete, S. Informative gene network for chemotherapy-induced peripheral neuropathy. BioData Min. 2015, 8, 24. [Google Scholar] [CrossRef] [Green Version]
  57. Lehmann, H.C.; Staff, N.P.; Hoke, A. Modeling chemotherapy induced peripheral neuropathy (CIPN) in vitro: Prospects and limitations. Exp. Neurol. 2020, 326, 113140. [Google Scholar] [CrossRef]
  58. Marmiroli, P.; Nicolini, G.; Miloso, M.; Scuteri, A.; Cavaletti, G. The fundamental role of morphology in experimental neurotoxicology: The example of chemotherapy-induced peripheral neurotoxicity. Ital. J. Anat. Embryol. 2012, 117, 75–97. [Google Scholar]
  59. Snyder, C.; Yu, L.; Ngo, T.; Sheinson, D.; Zhu, Y.; Tseng, M.; Misner, D.; Staflin, K. In vitro assessment of chemotherapy-induced neuronal toxicity. Toxicol. Vitr. 2018, 50, 109–123. [Google Scholar] [CrossRef]
  60. Wang, M.; Wang, J.; Tsui, A.Y.; Li, Z.; Zhang, Y.; Zhao, Q.; Xing, H.; Wang, X. Mechanisms of peripheral neurotoxicity associated with four chemotherapy drugs using human induced pluripotent stem cell-derived peripheral neurons. Toxicol. Vitr. 2021, 77, 105233. [Google Scholar] [CrossRef]
  61. Lazic, A.; Popović, J.; Paunesku, T.; Woloschak, G.E.; Stevanović, M. Insights into platinum-induced peripheral neuropathy-current perspective. Neural Regen. Res. 2020, 15, 1623–1630. [Google Scholar] [CrossRef]
  62. Lee, K.H.; Lee, D.W.; Kang, B.C. The ‘R’ principles in laboratory animal experiments. Lab. Anim. Res. 2020, 36, 45. [Google Scholar] [CrossRef]
  63. Melli, G.; Hoke, A. Dorsal Root Ganglia Sensory Neuronal Cultures: A tool for drug discovery for peripheral neuropathies. Expert Opin. Drug Discov. 2009, 4, 1035–1045. [Google Scholar] [CrossRef] [PubMed]
  64. Pollard, K.J.; Bolon, B.; Moore, M.J. Comparative Analysis of Chemotherapy-Induced Peripheral Neuropathy in Bioengineered Sensory Nerve Tissue Distinguishes Mechanistic Differences in Early-Stage Vincristine-, Cisplatin-, and Paclitaxel-Induced Nerve Damage. Toxicol. Sci. 2021, 180, 76–88. [Google Scholar] [CrossRef]
  65. Cavaletti, G.; Marmiroli, P. Chemotherapy-induced peripheral neurotoxicity. Curr. Opin. Neurol. 2015, 28, 500–507. [Google Scholar] [CrossRef]
  66. Livni, L.; Lees, J.G.; Barkl-Luke, M.E.; Goldstein, D.; Moalem-Taylor, G. Dorsal root ganglion explants derived from chemotherapy-treated mice have reduced neurite outgrowth in culture. Neurosci. Lett. 2019, 694, 14–19. [Google Scholar] [CrossRef]
  67. Scuteri, A.; Donzelli, E.; Ravasi, M.; Tredici, G. Adult mesenchymal stem cells support cisplatin-treated dorsal root ganglion survival. Neurosci. Lett. 2008, 445, 68–72. [Google Scholar] [CrossRef] [PubMed]
  68. Scuteri, A.; Nicolini, G.; Miloso, M.; Bossi, M.; Cavaletti, G.; Windebank, A.J.; Tredici, G. Paclitaxel toxicity in post-mitotic dorsal root ganglion (DRG) cells. Anticancer Res. 2006, 26, 1065–1070. [Google Scholar] [PubMed]
  69. Calls, A.; Carozzi, V.; Navarro, X.; Monza, L.; Bruna, J. Pathogenesis of platinum-induced peripheral neurotoxicity: Insights from preclinical studies. Exp. Neurol. 2020, 325, 113141. [Google Scholar] [CrossRef]
  70. Eskes, C.; Boström, A.-C.; Bowe, G.; Coecke, S.; Hartung, T.; Hendriks, G.; Pamies, D.; Piton, A.; Rovida, C. Good cell culture practices & in vitro toxicology. Toxicol. Vitr. 2017, 45, 272–277. [Google Scholar] [CrossRef]
  71. Kramer, L.; Nguyen, H.T.; Jacobs, E.; McCoy, L.; Curley, J.L.; Sharma, A.D.; Moore, M.J. Modeling chemotherapy-induced peripheral neuropathy using a Nerve-on-a-chip microphysiological system. Altex 2020, 37, 350–364. [Google Scholar] [CrossRef] [PubMed]
  72. Sharma, A.D.; McCoy, L.; Jacobs, E.; Willey, H.; Behn, J.Q.; Nguyen, H.; Bolon, B.; Curley, J.L.; Moore, M.J. Engineering a 3D functional human peripheral nerve in vitro using the Nerve-on-a-Chip platform. Sci. Rep. 2019, 9, 8921. [Google Scholar] [CrossRef] [Green Version]
  73. Chaicharoenaudomrung, N.; Kunhorm, P.; Noisa, P. Three-dimensional cell culture systems as an in vitro platform for cancer and stem cell modeling. World J. Stem Cells 2019, 11, 1065–1083. [Google Scholar] [CrossRef]
  74. Chhibber, T.; Bagchi, S.; Lahooti, B.; Verma, A.; Al-Ahmad, A.; Paul, M.K.; Pendyala, G.; Jayant, R.D. CNS organoids: An innovative tool for neurological disease modeling and drug neurotoxicity screening. Drug Discov. Today 2020, 25, 456–465. [Google Scholar] [CrossRef] [PubMed]
  75. Mazzara, P.G.; Muggeo, S.; Luoni, M.; Massimino, L.; Zaghi, M.; Valverde, P.T.-T.; Brusco, S.; Marzi, M.J.; Palma, C.; Colasante, G.; et al. Frataxin gene editing rescues Friedreich’s ataxia pathology in dorsal root ganglia organoid-derived sensory neurons. Nat. Commun. 2020, 11, 4178. [Google Scholar] [CrossRef] [PubMed]
  76. Kim, J.; Koo, B.-K.; Knoblich, J.A. Human organoids: Model systems for human biology and medicine. Nat. Rev. Mol. Cell Biol. 2020, 21, 571–584. [Google Scholar] [CrossRef] [PubMed]
  77. Garreta, E.; Kamm, R.D.; Chuva de Sousa Lopes, S.M.; Lancaster, M.A.; Weiss, R.; Trepat, X.; Hyun, I.; Montserrat, N. Rethinking organoid technology through bioengineering. Nat. Mater. 2021, 20, 145–155. [Google Scholar] [CrossRef] [PubMed]
  78. Corrò, C.; Novellasdemunt, L.; Li, V.S.W. A brief history of organoids. Am. J. Physiol. Cell Physiol. 2020, 319, C151–C165. [Google Scholar] [CrossRef]
  79. Shariati, L.; Esmaeili, Y.; Javanmard, S.H.; Bidram, E.; Amini, A. Organoid Technology: Current Standing and Future Perspectives. Stem Cells 2021. [Google Scholar] [CrossRef]
  80. Adjei, A.A.; Lopez, C.L.; Schaid, D.J.; Sloan, J.A.; Le-Rademacher, J.G.; Loprinzi, C.L.; Norman, A.D.; Olson, J.E.; Couch, F.J.; Beutler, A.S.; et al. Genetic Predictors of Chemotherapy-Induced Peripheral Neuropathy from Paclitaxel, Carboplatin and Oxaliplatin: NCCTG/Alliance N08C1, N08CA and N08CB Study. Cancers 2021, 13, 1084. [Google Scholar] [CrossRef]
  81. Cliff, J.; Jorgensen, A.L.; Lord, R.; Azam, F.; Cossar, L.; Carr, D.F.; Pirmohamed, M. The molecular genetics of chemotherapy–induced peripheral neuropathy: A systematic review and meta-analysis. Crit. Rev. Oncol. Hematol. 2017, 120, 127–140. [Google Scholar] [CrossRef]
  82. Wang, Z.; Zheng, J.; Pan, R.; Chen, Y. Current status and future prospects of patient-derived induced pluripotent stem cells. Hum. Cell 2021, 34, 1601–1616. [Google Scholar] [CrossRef] [PubMed]
  83. Chambers, S.M.; Qi, Y.; Mica, Y.; Lee, G.; Zhang, X.-J.; Niu, L.; Bilsland, J.; Cao, L.; Stevens, E.; Whiting, P.; et al. Combined small-molecule inhibition accelerates developmental timing and converts human pluripotent stem cells into nociceptors. Nat. Biotechnol. 2012, 30, 715–720. [Google Scholar] [CrossRef] [Green Version]
  84. Reilly, M.M.; Rossor, A.M. Humans: The ultimate animal models. J. Neurol. Neurosurg. Psychiatry 2020, 91, 1132–1136. [Google Scholar] [CrossRef] [PubMed]
  85. Hoelting, L.; Klima, S.; Karreman, C.; Grinberg, M.; Meisig, J.; Henry, M.; Rotshteyn, T.; Rahnenfuhrer, J.; Bluthgen, N.; Sachinidis, A.; et al. Stem Cell-Derived Immature Human Dorsal Root Ganglia Neurons to Identify Peripheral Neurotoxicants. Stem Cells Transl. Med. 2016, 5, 476–487. [Google Scholar] [CrossRef] [PubMed]
  86. Rana, P.; Luerman, G.; Hess, D.; Rubitski, E.; Adkins, K.; Somps, C. Utilization of iPSC-derived human neurons for high-throughput drug-induced peripheral neuropathy screening. Toxicol. Vitr. 2017, 45, 111–118. [Google Scholar] [CrossRef]
  87. Ryan, K.R.; Sirenko, O.; Parham, F.; Hsieh, J.H.; Cromwell, E.F.; Tice, R.R.; Behl, M. Neurite outgrowth in human induced pluripotent stem cell-derived neurons as a high-throughput screen for developmental neurotoxicity or neurotoxicity. Neurotoxicology 2016, 53, 271–281. [Google Scholar] [CrossRef]
  88. Sherman, S.P.; Bang, A.G. High-throughput screen for compounds that modulate neurite growth of human induced pluripotent stem cell-derived neurons. Dis. Models Mech. 2018, 11, dmm.031906. [Google Scholar] [CrossRef] [Green Version]
  89. Wheeler, H.E.; Wing, C.; Delaney, S.M.; Komatsu, M.; Dolan, M.E. Modeling chemotherapeutic neurotoxicity with human induced pluripotent stem cell-derived neuronal cells. PLoS ONE 2015, 10, e0118020. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Wilson, M.S.; Graham, J.R.; Ball, A.J. Multiparametric High Content Analysis for assessment of neurotoxicity in differentiated neuronal cell lines and human embryonic stem cell-derived neurons. Neurotoxicology 2014, 42, 33–48. [Google Scholar] [CrossRef]
  91. Wing, C.; Komatsu, M.; Delaney, S.M.; Krause, M.; Wheeler, H.E.; Dolan, M.E. Application of stem cell derived neuronal cells to evaluate neurotoxic chemotherapy. Stem Cell Res. 2017, 22, 79–88. [Google Scholar] [CrossRef]
  92. Scott, C.W.; Peters, M.F.; Dragan, Y.P. Human induced pluripotent stem cells and their use in drug discovery for toxicity testing. Toxicol. Lett. 2013, 219, 49–58. [Google Scholar] [CrossRef] [PubMed]
  93. Xiong, C.; Chua, K.C.; Stage, T.B.; Priotti, J.; Kim, J.; Altman-Merino, A.; Chan, D.; Saraf, K.; Canato Ferracini, A.; Fattahi, F.; et al. Human Induced Pluripotent Stem Cell Derived Sensory Neurons are Sensitive to the Neurotoxic Effects of Paclitaxel. Clin. Transl. Sci. 2021, 14, 568–581. [Google Scholar] [CrossRef]
  94. Diouf, B.; Crews, K.R.; Lew, G.; Pei, D.; Cheng, C.; Bao, J.; Zheng, J.J.; Yang, W.; Fan, Y.; Wheeler, H.E.; et al. Association of an inherited genetic variant with vincristine-related peripheral neuropathy in children with acute lymphoblastic leukemia. JAMA 2015, 313, 815–823. [Google Scholar] [CrossRef]
  95. Komatsu, M.; Wheeler, H.E.; Chung, S.; Low, S.-K.; Wing, C.; Delaney, S.M.; Gorsic, L.K.; Takahashi, A.; Kubo, M.; Kroetz, D.L.; et al. Pharmacoethnicity in Paclitaxel-Induced Sensory Peripheral Neuropathy. Clin. Cancer Res. 2015, 21, 4337–4346. [Google Scholar] [CrossRef] [Green Version]
  96. Sirenko, O.; Hesley, J.; Rusyn, I.; Cromwell, E.F. High-content high-throughput assays for characterizing the viability and morphology of human iPSC-derived neuronal cultures. Assay. Drug Dev. Technol. 2014, 12, 536–547. [Google Scholar] [CrossRef] [Green Version]
  97. Goldstein, B. Anatomy of the peripheral nervous system. Phys. Med. Rehabil. Clin. N. Am. 2001, 12, 207–236. [Google Scholar] [CrossRef]
  98. Basbaum, A.I.; Bautista, D.M.; Scherrer, G.; Julius, D. Cellular and Molecular Mechanisms of Pain. Cell 2009, 139, 267–284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Marmigère, F.; Ernfors, P. Specification and connectivity of neuronal subtypes in the sensory lineage. Nat. Rev. Neurosci. 2007, 8, 114–127. [Google Scholar] [CrossRef] [PubMed]
  100. Zhang, H.; Dougherty, P.M. Enhanced excitability of primary sensory neurons and altered gene expression of neuronal ion channels in dorsal root ganglion in paclitaxel-induced peripheral neuropathy. Anesthesiology 2014, 120, 1463–1475. [Google Scholar] [CrossRef] [Green Version]
  101. Shiers, S.; Klein, R.M.; Price, T.J. Quantitative differences in neuronal subpopulations between mouse and human dorsal root ganglia demonstrated with RNAscope in situ hybridization. Pain 2020, 161, 2410–2424. [Google Scholar] [CrossRef]
  102. North, R.Y.; Li, Y.; Ray, P.; Rhines, L.D.; Tatsui, C.E.; Rao, G.; Johansson, C.A.; Zhang, H.; Kim, Y.H.; Zhang, B.; et al. Electrophysiological and transcriptomic correlates of neuropathic pain in human dorsal root ganglion neurons. Brain 2019, 142, 1215–1226. [Google Scholar] [CrossRef]
  103. Eriksson, J.E.; Dechat, T.; Grin, B.; Helfand, B.; Mendez, M.; Pallari, H.M.; Goldman, R.D. Introducing intermediate filaments: From discovery to disease. J. Clin. Investig. 2009, 119, 1763–1771. [Google Scholar] [CrossRef] [Green Version]
  104. Scarpini, E.; Meola, G.; Baron, P.L.; Beretta, S.; Velicogna, M.; Moggio, M.; Buscaglia, M.; Doronzo, R.; Scarlato, G. Human Schwann cells: Cytochemical, ultrastructural and immunological studies in vivo and in vitro. Basic Appl. Histochem. 1987, 31, 33–42. [Google Scholar]
  105. An, W.F.; Tolliday, N. Cell-Based Assays for High-Throughput Screening. Mol. Biotechnol. 2010, 45, 180–186. [Google Scholar] [CrossRef] [PubMed]
  106. Ravula, S.K.; Wang, M.S.; Asress, S.A.; Glass, J.D.; Bruno Frazier, A. A compartmented neuronal culture system in microdevice format. J. Neurosci. Methods 2007, 159, 78–85. [Google Scholar] [CrossRef]
  107. Negri, J.; Menon, V.; Young-Pearse, T.L. Assessment of Spontaneous Neuronal Activity In Vitro Using Multi-Well Multi-Electrode Arrays: Implications for Assay Development. eNeuro 2020, 7, ENEURO.0080-0019.2019. [Google Scholar] [CrossRef] [Green Version]
  108. Newberry, K.; Wang, S.; Hoque, N.; Kiss, L.; Ahlijanian, M.K.; Herrington, J.; Graef, J.D. Development of a spontaneously active dorsal root ganglia assay using multiwell multielectrode arrays. J. Neurophysiol. 2016, 115, 3217–3228. [Google Scholar] [CrossRef] [Green Version]
  109. Bataille, A.; Leschiera, R.; L’Herondelle, K.; Pennec, J.P.; Le Goux, N.; Mignen, O.; Sakka, M.; Plee-Gautier, E.; Brun, C.; Oddos, T.; et al. In Vitro Differentiation of Human Skin-Derived Cells into Functional Sensory Neurons-Like. Cells 2020, 9, 1000. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Nickolls, A.R.; Lee, M.M.; Espinoza, D.F.; Szczot, M.; Lam, R.M.; Wang, Q.; Beers, J.; Zou, J.; Nguyen, M.Q.; Solinski, H.J.; et al. Transcriptional Programming of Human Mechanosensory Neuron Subtypes from Pluripotent Stem Cells. Cell Rep. 2020, 30, 932–946.e7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  111. Nicolini, G.; Monfrini, M.; Scuteri, A. Axonal Transport Impairment in Chemotherapy-Induced Peripheral Neuropathy. Toxics 2015, 3, 322–341. [Google Scholar] [CrossRef] [Green Version]
  112. Li, Y.; North, R.Y.; Rhines, L.D.; Tatsui, C.E.; Rao, G.; Edwards, D.D.; Cassidy, R.M.; Harrison, D.S.; Johansson, C.A.; Zhang, H.; et al. DRG Voltage-Gated Sodium Channel 1.7 Is Upregulated in Paclitaxel-Induced Neuropathy in Rats and in Humans with Neuropathic Pain. J. Neurosci. Off. J. Soc. Neurosci. 2018, 38, 1124–1136. [Google Scholar] [CrossRef]
  113. Verma, P.; Eaton, M.; Kienle, A.; Flockerzi, D.; Yang, Y.; Ramkrishna, D. Examining Sodium and Potassium Channel Conductances Involved in Hyperexcitability of Chemotherapy-Induced Peripheral Neuropathy: A Mathematical and Cell Culture-Based Study. Front. Comput. Neurosci. 2020, 14, 564980. [Google Scholar] [CrossRef] [PubMed]
  114. Resta, F.; Micheli, L.; Laurino, A.; Spinelli, V.; Mello, T.; Sartiani, L.; Di Cesare Mannelli, L.; Cerbai, E.; Ghelardini, C.; Romanelli, M.N.; et al. Selective HCN1 block as a strategy to control oxaliplatin-induced neuropathy. Neuropharmacology 2018, 131, 403–413. [Google Scholar] [CrossRef] [PubMed]
  115. Zhang, H.; Li, Y.; de Carvalho-Barbosa, M.; Kavelaars, A.; Heijnen, C.J.; Albrecht, P.J.; Dougherty, P.M. Dorsal Root Ganglion Infiltration by Macrophages Contributes to Paclitaxel Chemotherapy-Induced Peripheral Neuropathy. J. Pain 2016, 17, 775–786. [Google Scholar] [CrossRef] [Green Version]
  116. Huang, W.; Huang, J.; Jiang, Y.; Huang, X.; Xing, W.; He, Y.; Ouyang, H. Oxaliplatin Regulates Chemotherapy Induced Peripheral Neuropathic Pain in the Dorsal Horn and Dorsal Root Ganglion via the Calcineurin/NFAT Pathway. Anticancer. Agents Med. Chem. 2018, 18, 1197–1207. [Google Scholar] [CrossRef] [PubMed]
  117. Boukelmoune, N.; Laumet, G.; Tang, Y.; Ma, J.; Mahant, I.; Singh, S.K.; Nijboer, C.; Benders, M.; Kavelaars, A.; Heijnen, C.J. Nasal administration of mesenchymal stem cells reverses chemotherapy-induced peripheral neuropathy in mice. Brain Behav. Immun. 2021, 93, 43–54. [Google Scholar] [CrossRef]
  118. Pero, M.E.; Meregalli, C.; Qu, X.; Shin, G.J.; Kumar, A.; Shorey, M.; Rolls, M.M.; Tanji, K.; Brannagan, T.H.; Alberti, P.; et al. Pathogenic role of delta 2 tubulin in bortezomib-induced peripheral neuropathy. Proc. Natl. Acad. Sci. USA 2021, 118, e2012685118. [Google Scholar] [CrossRef] [PubMed]
  119. Comley, J. The stem cell dilemma: Reprogramming in-house versus off-the-shelf purchase of commercially-produced iPSC-derived cell types. Drug Discov. World 2016, 17, 26–43. [Google Scholar]
  120. Sittampalam, G.S.; Coussens, N.P. Preface—Assay Guidance Manual. Available online: https://www.ncbi.nlm.nih.gov/books/NBK92019/ (accessed on 23 June 2021).
  121. Berger, P.; Niemann, A.; Suter, U. Schwann cells and the pathogenesis of inherited motor and sensory neuropathies (Charcot-Marie-Tooth disease). Glia 2006, 54, 243–257. [Google Scholar] [CrossRef]
  122. Eckersley, L. Role of the Schwann cell in diabetic neuropathy. Int. Rev. Neurobiol. 2002, 50, 293–321. [Google Scholar] [CrossRef]
  123. Gonzalez, D.M.; Gregory, J.; Brennand, K.J. The Importance of Non-neuronal Cell Types in hiPSC-Based Disease Modeling and Drug Screening. Front. Cell Dev. Biol. 2017, 5, 117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Hackett, A.R.; Strickland, A.; Milbrandt, J. Disrupting insulin signaling in Schwann cells impairs myelination and induces a sensory neuropathy. Glia 2020, 68, 963–978. [Google Scholar] [CrossRef]
  125. Imai, S.; Koyanagi, M.; Azimi, Z.; Nakazato, Y.; Matsumoto, M.; Ogihara, T.; Yonezawa, A.; Omura, T.; Nakagawa, S.; Wakatsuki, S.; et al. Taxanes and platinum derivatives impair Schwann cells via distinct mechanisms. Sci. Rep. 2017, 7, 5947. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Wei, Z.; Fei, Y.; Su, W.; Chen, G. Emerging Role of Schwann Cells in Neuropathic Pain: Receptors, Glial Mediators and Myelination. Front. Cell Neurosci. 2019, 13, 116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Ydens, E.; Lornet, G.; Smits, V.; Goethals, S.; Timmerman, V.; Janssens, S. The neuroinflammatory role of Schwann cells in disease. Neurobiol. Dis. 2013, 55, 95–103. [Google Scholar] [CrossRef]
Table 1. Anticancer agents known to cause CIPN and their proposed mechanisms and target sites of CIPN toxicity [1,2,3,4,5,7,8,9,23,24,25].
Table 1. Anticancer agents known to cause CIPN and their proposed mechanisms and target sites of CIPN toxicity [1,2,3,4,5,7,8,9,23,24,25].
ClassAgentsProposed MechanismMain Target of CIPN Toxicity
TaxanesPaclitaxel
Docetaxel
Ixabepilone
Microtubule disruptionDorsal root ganglion; axons; distal nerve terminals
Platinum-basedCisplatin
Carboplatin
Oxaliplatin
DNA adductsDorsal root ganglion
Alkylating agentsCyclophosphamide
Hexamethylmelamine
Ifosphamide
Procarbazine
Covalently bind to DNADorsal root ganglion
Vinca alkaloidsVincristine
Vinblastine
Vinorelbine
Vindesine
Dysfunction of mitochondria and endoplasmic reticulum; microtubule disruptionDorsal root ganglion; distal nerve terminals
Proteasome inhibitorsBortezomib
Carfilzomib
Ixazomib
Binds proteasome complex; mitochondrial disturbance; microtubule disruptionDorsal root ganglion and peripheral nerves
ImmunomodulatoryThalidomide
Lenalidomide
Pomalidomide
AntiangiogenesisDorsal root ganglion; distal nerve terminals
Table 2. List of vendors offering hiPSC-derived cells for neurotoxicity research.
Table 2. List of vendors offering hiPSC-derived cells for neurotoxicity research.
VendorCell Product
Anatomic 1, Minneapolis, Minnesota, USHuman iPSC- RealDRGTM Nociceptors 2
Applied StemCell, Milpitas, California, USHuman IPCS Sensory Neuron Differentiation 3
Axol, Cambridge, United KingdomHuman iPSC-Sensory Neuron Progenitors 4
BrainXell, Baltimore, Maryland, USHuman iPSC CNS Neurons 5
FCDI 6, Madison, Wisconsin, USHuman iPSC iCell Dopa Neurons
Human iPSC iCell GABA Neurons
Human iPSC iCell Motor Neurons
iXCells Biotechnology, San Diego, California, USHuman iPSC Motor Neurons
Human iPSC Cortical GABAergic Neurons
Human iPSC Dopaminergic Neurons
Ncardia, Leiden, NetherlandsHuman iPSC Peripheral Neurons 7
Nexel, Seoul, KoreaNeurosight®—Human iPSC Neurons 8
NeuCyte, San Carlos, California, US SynFire®—Human iPSC CNS Neurons 9
REPROCELL, Yokohama, JapanStemRNA™ Neuro—Human iPSC Brain Neurons
Takara Bio, Inc., Shiga, JapanHuman Neural Stem Cells 10
1 Small start-up company working out of University of Minnesota incubator; 2 Requires further maturation in culture for one week; 3 Offers differentiation services; 4 Requires maturation in culture for at least 3 weeks; 5 Directed differentiation protocol can generate subtype-specific CNS neurons and glial cells; 6 Fujifilm Cellular Dynamics, Inc.; 7 Custom orders can result in long lead time (≥2 months); 8 Type of neurons not specified; intended use is functional electrical activity; 9 Early-stage biotechnology company with proprietary differentiation protocol that can generate multiple neuronal cell types from the CNS that may be co-cultured with glial cells; focus is on CNS diseases; 10 Requires extensive differentiation protocol by end-user.
Table 3. Commonly used protein expression markers of differentiated peripheral sensory neurons [22].
Table 3. Commonly used protein expression markers of differentiated peripheral sensory neurons [22].
Protein MarkerFunction
βIII-tubulin (Tuj-1)Tubulin beta III (TUBB3), also called Tuj-1, is a structural protein of the cytoskeleton in neurons
PeripherinType III intermediate filament protein expressed mainly in neurons of the PNS
NeuNNeuronal specific nuclear protein found in both the CNS and PNS
MAP2Microtubule-associated protein 2 neuron-specific cytoskeletal protein
BRN3APOU * transcription factor expressed in the DRG
* The acronym, POU, is derived from the names of three transcription factors: (1) the Pituitary-specific Pit-1, (2) the Octomer-binding proteins Oct-1 and Oct-1, and (3) the neural Unc-86 transcription factor from Caenorhabditis elegans.
Table 4. Attributes of an “ideal” cell-based system to model CIPN.
Table 4. Attributes of an “ideal” cell-based system to model CIPN.
CategoryAttributes
Components of the PNS to model either as pure nociceptor neuronal cultures or co-cultures to include multiple cell typesHuman-induced pluripotent stem cell origin
Peripheral sensory neurons with axons
Dorsal root ganglion with pseudo-unipolar neurons
Satellite glial cells
Schwann cells
Endothelial cells
Production of cellsCells must be scalable, highly reproducible, high purity, high viability (~80%) upon thawing
Protein biomarker examples (see Table 1) NeuN—Neuronal-specific nuclear protein
Tuj-1—βIII-tubulin structural protein of the cytoskeleton in neurons
BRN3A—transcription factor expressed in the DRG
SOX10—transcription factor expressed in Schwann cells
Cell culture formatAccommodate multiple plate formats, e.g., 6-well, 12-well, 96-well, and 384-well
Ready for use within a few days of plating
Must remain viable long enough to allow for short-term (5–7 days) or long-term (4–6 weeks) cultures
Live cell assaysMust be able to perform live cell assays such as those incorporating dyes for determining viability (live and dead cells), mitochondrial function, mitochondrial motility, calcium transients
Structural measurementsMust have pathology similar to human CIPN pathology so as to recapitulate clinical morphologic changes in response to CIPN agents
Cells must be able to withstand fixation and immunostaining procedures without compromising morphologic integrity in multiplexed assays
Functional measurementsCells must be amenable to multi-electrode array real-time monitoring of spontaneous electrophysiological activity
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Eldridge, S.; Scuteri, A.; Jones, E.M.C.; Cavaletti, G.; Guo, L.; Glaze, E. Considerations for a Reliable In Vitro Model of Chemotherapy-Induced Peripheral Neuropathy. Toxics 2021, 9, 300. https://doi.org/10.3390/toxics9110300

AMA Style

Eldridge S, Scuteri A, Jones EMC, Cavaletti G, Guo L, Glaze E. Considerations for a Reliable In Vitro Model of Chemotherapy-Induced Peripheral Neuropathy. Toxics. 2021; 9(11):300. https://doi.org/10.3390/toxics9110300

Chicago/Turabian Style

Eldridge, Sandy, Arianna Scuteri, Eugenia M. C. Jones, Guido Cavaletti, Liang Guo, and Elizabeth Glaze. 2021. "Considerations for a Reliable In Vitro Model of Chemotherapy-Induced Peripheral Neuropathy" Toxics 9, no. 11: 300. https://doi.org/10.3390/toxics9110300

APA Style

Eldridge, S., Scuteri, A., Jones, E. M. C., Cavaletti, G., Guo, L., & Glaze, E. (2021). Considerations for a Reliable In Vitro Model of Chemotherapy-Induced Peripheral Neuropathy. Toxics, 9(11), 300. https://doi.org/10.3390/toxics9110300

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop