Skip to main content
Springer logoLink to Springer
. 2024 Apr 19;20(6):1375–1386. doi: 10.1007/s12015-024-10723-5

Replacing Animal Testing with Stem Cell-Organoids : Advantages and Limitations

Guiyoung Park 1, Yeri Alice Rim 2,3,4, Yeowon Sohn 5, Yoojun Nam 5,6,, Ji Hyeon Ju 2,3,4,6,
PMCID: PMC11319430  PMID: 38639829

Abstract

Various groups including animal protection organizations, medical organizations, research centers, and even federal agencies such as the U.S. Food and Drug Administration, are working to minimize animal use in scientific experiments. This movement primarily stems from animal welfare and ethical concerns. However, recent advances in technology and new studies in medicine have contributed to an increase in animal experiments throughout the years. With the rapid increase in animal testing, concerns arise including ethical issues, high cost, complex procedures, and potential inaccuracies.

Alternative solutions have recently been investigated to address the problems of animal testing. Some of these technologies are related to stem cell technologies, such as organ-on-a-chip, organoids, and induced pluripotent stem cell models. The aim of the review is to focus on stem cell related methodologies, such as organoids, that can serve as an alternative to animal testing and discuss its advantages and limitations, alongside regulatory considerations.

Although stem cell related methodologies has shortcomings, it has potential to replace animal testing. Achieving this requires further research on stem cells, with potential societal and technological benefits.

Graphical Abstract

graphic file with name 12015_2024_10723_Figa_HTML.jpg

Keywords: Animal Testing Alternatives, Animal Testing law, Stem Cell, Organoids, Organ-on-chips, iPSC

Introduction

Historically, animal models have contributed substantially to the advancement and study of vaccines, surgical techniques, and various scientific experiments [1]. However, owing to the problems associated with animal testing, researchers are now questioning whether animal models and tests are the best options for these procedures. Growing animal testing is ethically concerning amid scientific evolution. According to the Humane Society International Organization, more than 100 million animals are killed annually worldwide for scientific purposes (Humane Society International). The animals used vary depending on their traits and include rats, mice, rabbits, dogs, cats, guinea pigs, zebrafish, swine [2, 3].

In December 2022, the U.S. Food and Drug Administration (FDA) announced animal testing is no longer mandatory safety approval of products [4]. However, products that are used on the human body still require safety testing. In other words, testing for toxicity, compatibility, and safety is compulsory for products; however, animal testing is unnecessary for conducting these tests. In response, research facilities and companies have introduced alternatives such as computer simulations and in silico models. Stem cell therapy has gained popularity throughout the medical field, and various studies are underway to gain deeper knowledge [5]. With the emergence of this stem cell-based test, alternative methods have also arisen, potentially offering to become a replacement for animal testing.

When comparing test options, alternatives offer more beneficial attributes than animal testing. Non-animal tests are cost-effective, less time-consuming, and simpler procedures than animal tests [6]. However, most research institutions use animal models. This is because animal testing has been a longstanding experimental approach for decades [7, 8]. Efforts are being made to replace animal testing with the use of human cells, as animal testing results often exhibit interspecies differences with humans, thus lacking the ability to reliably predict clinical outcomes. Application of advancing stem cell technology continue, but completely replacing animal experimentation poses significant challenges. Therefore, it is important to conduct further studies to advance the science of alternative testing methods. This review aimed to summarize the use of stem cell technology as an alternative to animal testing and discuss its advantages and limitations.

Current State of Animal Testing

Uses of Animal Testing

Animal testing has been used for decades, and in the 21st century, the number of tests has increased considerably [2]. With approximately 100 million animals used for testing annually worldwide, science has been rapidly evolving. The primary function of animal testing is to test drugs, their toxicity, and their compatibility with the human body to ensure safe use. Hence, pre-launch testing is crucial. Companies and research facilities must subject their products to clinical trials before introducing them to potential customers.

Neurological disorder such as Parkinson’s and Alzheimer’s have also been modeled in animals to understand their mechanisms and to determine suitable treatments [911]. For instance, in the case of Parkinson’s disease, various animal models have been employed, including Caenorhabditis elegans, Zebrafish, and mice. Additionally, genetically modified mice carrying mutations associated with proteins like α-synuclein, Parkin, Pink1, and LRRK2, as well as mice induced with α-Synuclein Pre-Formed Fibril (PFF), are utilized to assess dopaminergic neuronal loss and investigate changes in α-synuclein aggregation. In Alzheimer’s disease, transgenic mice carrying mutations associated with familial Alzheimer’s disease (FAD), such as the 5xFAD model, are commonly used. These models allow for the evaluation of amyloid beta reduction through histological methods and the assessment of drug efficacy using behavioral tests like the Maze, providing insights into underlying disease mechanisms. Animals utilized as disease models contribute significantly to our comprehensive understanding of the mechanisms behind various illnesses, facilitating our grasp of these conditions. Research conducted using these animal disease models has indeed contributed to the discovery and development of treatments. However, it’s scientifically crucial to acknowledge that these animal models often present disparities in lifespans compared to humans and may not entirely mirror the intricate etiology of human diseases. Additionally, while animal experimentation is utilized for various conditions such as cancer, diabetes mellitus, and traumatic brain injury, it’s constrained by its inability to fully capture the nuances of the human immune system and intricate disease mechanisms (Table 1).

Table 1.

Current animal models for diseases/conditions including their limitations

Disease Animal model currently in use Limitations References
Parkinson’s Disease

Non-human primates

Caenorhanditis elegans

Drosophila melanogaster

Zebrafish

Rodents (mice, rats)

Time consuming

Complex procedure

Different from humans

Lacking Synuclein homolog

Gene research still in progress

Expensive

[10, 11]
Alzheimer’s disease Rodents (mice, rats) Cannot completely mimic patient pathophysiology(no complete cure yet) [9]
Cancer

Rodents (mice, rats)

Zebrafish

Fruit flies

Small size animals (limited blood supply)

Difference in physiology, immunity, heredity from human

[12]
Diabetes mellitus

Rodents (mice, rats, hamsters)

Pigs

Difference in concentration of blood glucose levels from humans

Complex disease mechanism and procedure

[13, 14]
Traumatic brain injury Rodents (mice, rats)

Different complexity and size compared to human brain

Gene expression varies from that of humans

[15]
Wound healing

Rabbits

Rodents (mice, rats)

Pigs

Anatomical and physiological difference from that of humans

Lacks design and procedures related to standardization

[16]
Skin/eye irritation

Rodents (mice, rats)

Rabbits

Chemical misclassification possibility (owing to difference with humans) [1719]

In addition to modeling diseases, animals are also used to test cosmetics or healing rates of products. In the cosmetics industry, animals are typically used to test skin or eye irritation to assess the safety of these products in humans [17, 18]. The Draize test, developed in 1944 to test for such hazards in rabbits [19], is used to test products such as drugs and balms for wound healing. It involves creating wounds on animals to gauge recovery rates [16].

Related laws, Guidelines, and Principles

As of 2023, current regulations state that the FDA no longer deems animal tests necessary for evaluating product safety [4]. This enables companies and research facilities to explore possible non-animal testing when obtaining product approval. Additionally, out of 195 countries worldwide, only 42 have laws or regulations limiting animal testing for products (The Humane Society). Animal testing laws have been implemented by banning animal testing or limiting its use during testing. Europe completely banned cosmetics tested on animal testing in 2013 [3, 20, 21]. This demonstrates a push to limit animal testing; however, the movement remains ineffective because of the absence of laws against animal testing in most countries.

Guidelines for animal experimentation and clinical trials for drug development and safety testing have varied procedures among companies and researchers up to now. So, the Guidance for Industry for Preclinical Safety Evaluation of Biotechnology-Derived Pharmaceuticals from the Center for Drug Evaluation and Research provides guidelines for the safety assessment of products compiled from regulatory standards of several countries. According to these guidelines, preclinical trial researchers should consider factors such as animal species, age, delivery method (dosage, administration, treatment regimen, etc.), and test material stability [22] (Fig. 1).

Fig. 1.

Fig. 1

(A) Procedure of new drug approval as stated by the Food and Drug Administration (FDA). In the preclinical research stage, small, medium, and large animals are usually used for testing new drugs. (B) iPSCs that can replacing animal testing. PBMCs or fibroblasts are reprogrammed to iPSCs and subsequently differentiated into target modeling cells such as neurons, cardiomyocytes, and hepatocytes. (C) iPSC-derived 3D organoids enable in vitro efficacy and safety testing. Organ-on-a-chip embedded with organoids used in in vitro tests, created using BioRender

The FDA has also provided a drug development process that includes these steps. The first step in drug development is discovering and researching a new drug (discovery and development stage). The second stage is preclinical research, in which drugs have to undergo a series of animal tests (or alternative tests, if possible) for safety. The FDA strongly suggests that animal preclinical trials follow Good Laboratory Practice (GLP). The main elements of GLP are as follows [23]: appropriate use of qualified personnel, quality assurance, appropriate use of facility and care for animals, proper operating procedures for animals used in trial, individual animal data collection and evaluation, testing product properly handled and analyzed, study proceeds with an approved protocol, data should be collected as outlined in the protocol, and full report prepared after procedures.

To enhance clinical translation, reproducibility issues in preclinical trials, such as biased allocation, insufficient controls, and lack of interdisciplinary, uncharacterized, or poorly characterized supplies [24]. The third step involves clinical testing on humans to assess safety and efficacy. The fourth and fifth stages comprise FDA post-market safety monitoring for all approved drugs [25].

Guidelines also suggest the 3R (replacement, reduction, and refinement) principle, which recommends that scientists follow certain criteria during clinical trials. Replacement involves using other testing methods other than animal testing [26]. In computer models, tissues, or stem cell research, if alternatives to animal testing exist, researchers should prioritize their use. Reduction involves minimizing the number of animal tests [26]. Questioning the necessity of animal tests during a particular part of our research and reducing their numbers imbues the concept with meaning. Refinement focuses on minimizing stress and providing the best care to animals [26], including providing proper food, entertainment, and clean well-maintained shelters.

As International efforts for animal replacement methods, research and development into alternative testing methods is already underway in both Europe and the United States, with each regulatory body establishing its own initiatives. In Europe, the European Center for the Validation of Alternative Methods (ECVAM) was founded in 1992, and since 2013, the sale of cosmetics containing ingredients tested on animals has been completely banned. Moreover, there are plans to expand the scope to include medical devices, health supplements, and pharmaceuticals in the future. In the United States, the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) was established in 2000. The objective is to reduce animal testing by 2025 and eliminate mammalian animal testing entirely by 2035 through innovative advancements in alternative testing methodologies. In 2022, amendments to the Food, Drug, and Cosmetic Act in the United States removed mandatory animal testing requirements in the drug development stage and presented alternative testing methods as viable non-clinical trial options.

Problems/limitations of Animal Testing

A pressing issue with animal testing is the ethical concerns stemming from it. Most studies have demonstrated that these models undergo invasive procedures that often result in pain or even death. Research indicates that animals share pain and emotional capacity with humans [27]. Thus, sacrificing them for research can appear cruel. Advocates call for equitable treatment, opposing animal testing as inhumane and cruel. Such ethical issues has always followed animal testing and are ongoing [28].

Moreover, some studies have indicated that animal testing is not an accurate model for medicines or substances, highlighting the need for accurate and efficient testing alternatives that are similar humans. The complexity of human disease mechanisms raises doubts whether animal models can accurately replicate them.

Physiological differences between animals and humans mean a product safe for animals may not guarantee human safety [29]. Interspecies differences have led to poor results in correlating animal testing with human outcomes, consequently causing several clinical trial failures [30]. Between 2010 and 2017, clinical trials for drugs had a greater chance of failing phase І, owing to safety and efficacy [31]. In addition, even if a product passes phase І there is still a 90% rate of failure while undergoing the necessary procedures [32, 33]. Prolonged use of animal testing can ultimately endanger humans, as some drugs and products approved through trials were later deemed harmful. Concerns such as high cost and long laborious procedures will be discussed below.

Benefits of Replacing Animal Testing

The main benefits of replacing animal tests with alternatives are as follows: cost-effective, time efficient, less complex testing procedures, and societal benefits.

Stem cell modeling is less expensive than animal testing. The Draize test mentioned before costs approximately $1,800, whereas non-animal testing methods cost considerably less [6]. Affordable procedures offer renewed chances for past costly research to emerge. A decrease in the cost of procedures would facilitate new drug development, making opportunities for new technologies easier.

Animal testing requires prior preparation that is often complex and time consuming. Several guidelines of various organizations worldwide follow certain principles and procedures. For animal testing, factors such as providing clean and well-maintained shelters, food, necessary supplies for survival, and entertainment are laborious [26]. Alternatives are time-efficient and less laborious, simpler protocols, and fewer supplies to maintain procedures.

Alternatives to Animal Testing Related to Stem Cells

Organoids

Organoids are organ-like structures derived from self-organizing stem cells in 3D cell cultures. They exhibit organ-specific characteristics and originate from stem cells undergoing self-organization [34, 35]. . They are beneficial over previous 2D cell culture, as they can show near-physiological cellular composition and actions [36]. Organoids are typically established from embryonic stem cells (ESCs), human pluripotent stem cells (PSCs), and adult stem cells [3739]. The potential of organoids as alternatives stems from their correlation with patient reactions to products such as drugs, indicating that they are a promising for rare diseases where clinical trials are impractical [39]. Organoids have a wide range of applications and are suitable for studies of infectious diseases, hereditary diseases, and toxicity, and can provide personalized medicine for individual patients [38].

Recent studies have shown that PSC organoids can form complex brain organoids that are useful for modeling traumatic brain injury [15]. Organoids derived from PSCs are of various types, including stomach, lung, liver, kidney, cerebral, and thyroid, and can contribute to organ failure or dysfunction. Cancer organoids are cultured from thin tumor sections, which are efficient for studying cancer syndromes [34]. Organoid studies on Alzheimer’s disease highlight the possibility of using familial or sporadic Alzheimer’s disease induced pluripotent stem cells (iPSCs) to model brain activity [40]. Thyroid follicles derived from hESCs have the potential to be used as organoids to treat hypothyroidism [41] (Table 2). Technology development of 3D bioprinting organoids is underway, promising better productivity. Bioprinting for organoids includes inkjet-based bioprinting, laser-assisted bioprinting, extrusion-based bioprinting, and photo-curing bioprinting [42]. Ongoing studies are also exploring 3D printing technology using organoids, offering the possibility of creating organs for patient-tailored services and toxicology research.

Table 2.

Methods and considerations of QC for organoids

Methods Detailed examples of methods Functions References
Imaging technology

Bright-field microscopy

Live cell imaging

Transmission and scanning electron microscopy

Immunofluorescent imaging

Assess morphology

Size examination

Quantity assessment

Determine specific functions

[65, 66, 69]
Gene expression analysis

Single or bulk RNA sequencing

Quantitative PCR(qPCR)

Evaluate expression of genes

Reveal cell identity and composition

[65]
Assay methods ELISA assay Secretome quantification [65]
Luciferase assay Measure enzyme activity [65, 68]
Staining Glycosaminoglycan(GAG) staining

Show presence and distribution of glycosaminoglycans within extracellular matrix of organoids

Provide insight to composition and function of the organoid microenvironment

[68]
Immunostaining

Identify and localize proteins of interest

Allow to study protein interactions in organoids

[65, 68]
Alizarin red staining Visualize calcium deposits(mainly used in bone tissue engineering in organoids) [69]
Implant method Mouse transplantation Assessment of in vivo functions [65, 68, 70]
Extracellular microenvironments

Soluble bioactive molecules

Extracellular matrix

Biofluid flow

Growth rate

Contributes to formation of organoids

[71]

However, organoids still possess limitations that render them unsuitable tools to replace animal testing. Organoids lack of vasculature structure affects growth and maturation, leading to differences in behavior compared to the original tissue [59]. This may result in only partial replication, leading to an incomplete disease model [38]. Moreover, the complexity and heterogeneity of certain organs, such as the brain or immune system, pose challenges for complete replication in organoid models. This inability to replicate such complexity can affect the translatability of findings from organoid studies to clinical applications. Research and experiments involving organoids often require lengthy culture protocols, which can vary depending on the type of organoid being cultivated. In some extreme cases, organoid culture may extend for months or even years, as seen in examples such as intestinal organoids(8 weeks or more), retinal organoids(6 ~ 39 weeks or more), brain organoids(12 weeks or more), and liver organoids(4 ~ 8 weeks or more) [6064]. Even after going through the lengthy process, there are sometimes a lack of established organoids in sufficient numbers. This limited availability of organoids can hinder the procedure of functional testing, which can lead to insufficient research outcomes. Organoids also lack the intricate network of connections that can be seen in living organisms. Inter-organ communication is crucial when checking metabolic health, and with organoids lacking such an important factor, it is difficult to create treatments for any abnormalities regarding infection and diseases. Organoids also lack a diverse set of cell types, structural organization, and physiological functions in comparison to functioning organs, which limits the ability to accurately replicate disease processes and responses to treatment [59]. When compared to animal models, organoids fall behind, as animal models offer a broader view of processes for diseases, immune responses, and systemic effects of treatments. Another noteworthy concern arises from the fact that current production technology for organoids under GMP (Good Manufacturing Practice) standards has yet to be established.

Quality Control of Organoid

For organoids to serve as suitable models for diseases or experimental purposes, quality control (QC) is essential. Accuracy and consistency in production lead to more precise results, ensuring better therapeutic treatments or modeling. If quality control for organoids isn’t established sufficiently, problems such as inconsistent test results, misinterpretation of existing data, wastage of valuable resources, reproducibility issues, unreliable models, and ethical concerns regarding biomedical studies could arise.

Organoid structures and functions can be assessed through multiple methods. Structural assessment of organoids can be performed using bright-field imaging for both quantitative and qualitative research. Additionally, methods such as immunofluorescent staining, transmission electron microscopy, and scanning electron microscopy are also utilized [65, 66]. The functionality of organoids can be assessed through qPCR and single-cell or bulk cell RNA sequencing, which provide quantitation of marker gene expression, revealing cell identity and composition [67]. Assay methods like ELISA and colorimetric assays are useful for secretome quantification while Luciferase essays help measure enzyme activity [65, 68]. Staining methods such as Glycosaminoglycan (GAG) staining(specifically for synovial mesenchymal stromal cell (SMSC) organoids), immunofluorescence staining, and Alizarin red staining mainly help with visualizing components within the organoid [65, 68, 69]. There are also more direct methods like implantation to test the in vivo functions of organoids [65, 70] (Table 3).

Table 3.

Possible alternative tests/models to replace animal testing and cure diseases

Disease Stem cell related tech Cell types/Modeling Advantages Limitations Reference
Parkinson’s disease iPSC-derived model Dopaminergic neurons (DAn)of the substantia nigra pars compacta (SNpc)

Patient cell driven

Compatible for large screening

Cost efficient

Lacks complete physiological network connections that imitate brain [11, 4345]
Cardiac disease iPSC cardiac myocytes

Cardiac progenitors (human HCN4+)

ESC derived ROR2+, CD13+, KDR+, PDGFRα+

Useful when analyzing mechanisms underlying disease

Suitable for combined image-based deep learning or machine learning data analyses

Possible graft-related ventricular arrhythmia

Limited engraftment of injected cardiomyocytes

[4648]
Cancer Cancer organoids Culture of thin tumor sections

Effective to study human cancer syndromes

Aides in overcoming traditional cancer cell line systems

Needs successful engraftment,

Technical challenges

Variable growth rates

[34, 4951]
Cancer-on-a-chip Endothelial cell lined gel embedded with bone stem cells (attracts cancer cell extravasation)
iPSC models

Reprogrammed tumor specimen

iPSCs with premalignant or early genetic lesions

Alzheimer’s disease iPSC-derived brain cells

Neurons

Astrocytes

Microglia

Oligodendrocytes

Pericytes

Vascular endothelial cells

Able to replicate specific traits of human brains

Brain modeled with functional blood-brain barrier

Bettering the consistency and reproducibility still in task

Variability of clones reported from same parental iPSC line

[9, 40, 52]
Organoids

Familial Alzheimer’s disease iPSCs

Sporadic Alzheimer’s disease iPSCs

Organ failure/dysfunctions Organ-on-chip

Lung-on-a-chip

Intestine-on-a-chip

Kidney-on-a-chip

Heart-on-a-chip

Promising organ source when in shortage

Organ rejection risk lowered

Provides safe drug screening

Devising engraft cell lines required

Interpreting genetic, epigenetic, and clone variation remains inexperienced after results.

[50, 53]
Human iPSC

Endogenous or exogenous stem cells (lung regeneration)

Liver hepatoblasts (hepatotoxicity)

Traumatic brain injury Human cerebral organoids iPSCs originated from human dermal fibroblasts Able to replicate specific traits of human brains

Does not possess all brain cell types

Lacks vasculature

[15, 54]
Brain-on-a-chip 3D cultured iPSC-derived neural progenitor cells
Hypothyroidism Thyroid organoids Human thyroid follicles from hESCs

Possible signs of effective therapy

Models provide insight into thyroid development

Limited efficiency after input

Requires extended time to show results

Limited blood vessel presence shown

[41]
Skin/eye irritation (or injury) Organ-on-a-chip

Eye-on-a-chip,

Skin-on-a-chip

Able to replicate movement (eye blinking) or reaction with chemicals Limitations when verifying differentiation

[55, 56],

[57, 58]

Skin organoids

KRT5+, KRT15+, CD49F + epidermal

KRT15 + peridermal

PDGFRα+, P75 + Dermis

Extracellular microenvironment, which contain such things as soluble bioactive molecules, extracellular matrix, and biofluid flow, contributes to the growth rate and formation of organoids. Given the variation in extracellular microenvironments across different types of organoids, it is imperative to modulate the extracellular microenvironment accordingly for each organoid type. This ensures the production of organoids with consistent quality across different production batches [71].

Regulations/Applications Regarding Organoids from the FDA

While there aren’t any specific regulations regarding organoids from the FDA(Food and Drug Administrations) as of in the recent years, there are two categories of applications that include framework for cell related therapies, which include organoids. There are two applications, Biologics License Application (BLA) and the Investigational New Drug (IND) Application. The BLA, as stated in the official website of FDA, is a request for permission to introduce and deliver for a biologic product(vaccines, somatic cells, gene therapy, tissues, recombinant therapeutic proteins, organoids, etc.) into interstate commerce. Requirements for a BLA includes applicant information, product/manufacturing information, pre-clinical studies, clinical studies, and labeling. The IND application is a request for authorization to administer an investigation drug or biological product to humans. IND had three types: Investigator IND, Emergency Use IND, and Treatment IND which could fall into two categories being commercial or non-commercial. The IND application must contain the following broad areas of information: Animal Pharmacology and Toxicology studies, Manufacturing Information, Clinical protocols and Investigator Information.

When examining the current ongoing clinical trials(ClinicalTrials.gov) in the application of organoids, it can be noted that they are being utilized in refractory cancers, osteosarcoma, high-grade glioma, advanced breast cancer, and colorectal cancer. This pertains to the utilization of the organoid platform to investigate the sensitivity to various drugs (chemotherapy, hormonal therapy, targeted therapy) by exposing them to each individual agent (or combination of agents). It is anticipated and ongoing to aid in clinical decisions regarding the optimal treatment option for each patient.

Organ-on-a-chip

Organoid chips(OoC) can be regarded as the outcome of merging biology and microtechnology, serving as microfluidic cell culture devices [72, 73]. OoC has the ability to mimic the cellular environment, which leads to an examination of their effects on cell communication with more accessibility and ease. The chips are generally designed by collecting cells (primary cells, transformed cell lines, human ESC, or iPSCs) using equipment with pumps(that enable fluid flow), incubators, sensors, and microscopes to monitor and examine the cells in the system [49, 74] (Fig. 1). Depending on the type or cell or method cells can be aggregated in matrix or matrixless conditions [75].

Various types of human organ chips, including the liver, heart, eyes, kidneys, bones, intestines, and skin, are used to simulate the breathing motion. Single-organ chips such as liver-on-a-chip and lung-on-a-chip are useful for observing individual chemical reactions [53]. There are also multiple organ-on-chip, which are organ-chips connected to a vast system [76]. The main purpose of multi-organ-on-chips is to simulate the entire body, recognizing that a single organ does not represent the entire human system. Using multiple organ-on-chips connected to one system allows the analysis of how various organs communicate with each other.

The U.S. Food and Drug Administration (FDA) and the U.S. National Institutes of Health (NIH) have provided project support for tissue chips for drug screening, including lung-on-a-chip. Additionally, efforts are being made globally to advance the utilization of organoid chips, such as the establishment of the European Organ-on-Chip Society in Europe.

A limitation of OoCs is their complex experimental setup [77], which can be avoided with clear guidelines or protocols. Cell medium changes also raise concerns about chip environments [77]. There is also the issue of using animal models to validate OoC systems initially [78]. To address this, OoC experts recommend forming well-established collaborations with developers, toxicologists, and pharmaceutical companies to explore alternative solutions.

iPSCs(Induced Pluripotent stem Cells)

iPSCs are a recent development in the field of disease modeling. Having traits such as self-renewal and pluripotency, iPSCs can transform into various cells within the human body (Fig. 1); thus, reprogramming patient cells creates personalized medicine for specific diseases [79, 80]. The ability to produce a large batch of iPSCs with only a small number of patient samples is important [81, 82]. The objectives of iPSC models closely align with the 3R principle [83]. Replacing animal models in research while adhering to reduction and refinement principles is expected to be advantageous.

iPSCs are research to find cures for various diseases and are used as broad disease models (Table 2). For example, iPSCs from patients with Parkinson’s disease differentiate into midbrain dopaminergic neurons (DAns) in the substantia nigra pars compacta (SNpc), which can be used to model Parkinson’s disease on a cellular basis [4345]. For cardiac diseases, which include a decrease in cardiomyocytes that leads to scar formation and ultimately heart function failure, there are existing studies that explore iPSCs for novel therapeutic cures [84]. iPSC-derived progenitors such as human HCN4 + and human ESC derived ROR2+, CD13+, KDR+, PDGFRα + cells later generate cardiomyocytes [47]. For cancer modeling using iPSCs, reprogrammed tumor specimens or iPSCs with premalignant or early genetic lesions can show the stages of cancer [49]. iPSCs from patients that are healthy and those with Alzheimer’s disease differentiate into the main brain cells, modeling the human brain with a functional blood barrier. Further research could drive drug discovery [9]. Studies of organ failure or dysfunction have shown that human iPSCs are useful. Research on lung regeneration has shown that endogenous and exogenous stem cells mediate therapeutic results [50]. Another study focused on the use of liver hepatoblasts, which could help alleviate hepatotoxicity through liver development and hepatic differentiation [85].

However, iPSCs are still in a relatively early developmental phase and have several limitations. Concerns for researchers regarding iPSCs is in vitro culture adaptation and tumorigenicity, the inability to completely reflect in vivo 3D environments, and the variation of differentiated cells depending on the protocol [86, 87]. Quality control of differentiated cells and influencing factors are crucial for iPSC researchers, impacting their applicability as medical models or treatments.

Figure 2 Human diagram showing multiple stem cell-related technologies that can be applied to various human organs.

Fig. 2.

Fig. 2

A BioRender diagram depicts diverse stem cell technologies for human organs

Limitations

Stem cell-related methodologies, such as organoids, are a very new technology in the field of animal alternative testing. In the early developmental stage, alternative stem cell models and technologies still require a few years of testing. Animal testing is still used today, owing to its historical role in safety and efficacy assessment. New alternatives have been presented; however, the uncertainty of these methods have caused most researchers to adhere to old protocols. In cases of complex diseases arising from various factors such as cardiovascular, neurodegenerative, and infertility, complete replacement by animal alternative testing methods may still be impractical. In such instances, it is crucial to concurrently employ animal experimentation alongside alternative testing methods utilizing organoids or stem cells to bolster data reliability. As a component of these endeavors, numerous researchers have undertaken disease modeling, such as stroke, utilizing brain organoids and cardiac organoids in in vitro experiments. The solution involves focusing on alternative testing methods [88]. By transforming old methods and creating alternatives, this shift could be the norm. There has already been a move toward that goal, as the FDA has established a cross-agency working group (The Alternative Methods Working Group) to promote various alternative methods, such as in vivo, in vitro, in silico, or system toxicology modeling [89]. In the 2021, FDA report titled “Advancing Regulatory Science at FDA,” the most prioritized area is identified as “Advancing Novel Technologies to Improve Predictivity of Non-clinical Studies and Replace, Reduce, and Refine Reliance on Animal Testing.”

Conclusion

Given ongoing research in alternative stem cell-related methods, this appears promising to replace animal testing. These alternatives offer advantages for scientists and the public. However, it is important to acknowledge that iPSCs, organoids, and OoCs each have distinct strengths and limitations. With continued advancements and studies to further understand these issues, these limitations can be avoided.

Acknowledgements

Not applicable.

Abbreviations

FDA

Food and Drug Administration

OoC

organ-on-chip

iPSC

induced pluripotent stem cell

PSC

pluripotent stem cell

ESC

Embryonic stem cell

CDER

Center for Drug Evaluation and Research, GLP, Good Laboratory Practice

DAns

Dopaminergic neurons

SNpc

Substantia Nigra pars compacta

Author Contributions

GP designed the study and wrote the manuscript. YAR, YS and YN edited the manuscript. YN and JHJ approved the final manuscript. All the authors have read and approved the final draft of this manuscript.

Funding

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number : HI22C1314).

Data Availability

All data pertaining to this manuscript are included within the article.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing Interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Yoojun Nam, Email: givingtreemax@gmail.com.

Ji Hyeon Ju, Email: juji@catholic.ac.kr.

References

  • 1.Robinson, N. B., et al. (2019). The current state of animal models in research: A review. International Journal of Surgery, 72, 9–13. 10.1016/j.ijsu.2019.10.015 [DOI] [PubMed] [Google Scholar]
  • 2.Ericsson, A. C., Crim, M. J., & Franklin, C. L. (2013). A brief history of animal modeling. Missouri Medicine, 110(3), 201–205. [PMC free article] [PubMed] [Google Scholar]
  • 3.Balls, M. (2022). Alternatives to Laboratory animals: Trends in replacement and the three rs. Alternatives to Laboratory Animals, 50(1), 10–26. 10.1177/02611929221082250 [DOI] [PubMed] [Google Scholar]
  • 4.Han, J. J. (2023). FDA modernization Act 2.0 allows for alternatives to animal testing. Artificial Organs, 47(3), 449–450. 10.1111/aor.14503 [DOI] [PubMed] [Google Scholar]
  • 5.Deinsberger, J., Reisinger, D., & Weber, B. (2020). Global trends in clinical trials involving pluripotent stem cells: A systematic multi-database analysis. Npj Regenerative Medicine, 5(1), 15. 10.1038/s41536-020-00100-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Meigs, L., et al. (2018). Animal testing and its alternatives - the most important omics is economics. Altex, 35(3), 275–305. 10.14573/altex.1807041 [DOI] [PubMed] [Google Scholar]
  • 7.Horejs, C. (2021). Organ chips, organoids and the animal testing conundrum. Nat Rev Mater, 6(5), 372–373. 10.1038/s41578-021-00313-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Veening-Griffioen, D. H., et al. (2021). Tradition, not science, is the basis of animal model selection in translational and applied research. ALTEX, 38(1), 49–62. [DOI] [PubMed] [Google Scholar]
  • 9.Penney, J., Ralvenius, W. T., & Tsai, L. H. (2020). Modeling Alzheimer’s disease with iPSC-derived brain cells. Molecular Psychiatry, 25(1), 148–167. 10.1038/s41380-019-0468-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Khan, E., Hasan, I., & Haque, M. E. (2023). Parkinson’s Disease: Exploring Different Animal Model Systems. International Journal of Molecular Sciences, 24(10). [DOI] [PMC free article] [PubMed]
  • 11.Chia, S. J., Tan, E. K., & Chao, Y. X. (2020). Historical Perspective: Models of Parkinson’s Disease. International Journal of Molecular Sciences, 21(7). [DOI] [PMC free article] [PubMed]
  • 12.Li, Z., et al. (2021). Application of animal models in Cancer Research: Recent progress and future prospects. Cancer Manag Res, 13, 2455–2475. 10.2147/CMAR.S302565 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kottaisamy, C. P. D., et al. (2021). Experimental animal models for diabetes and its related complications—a review. Laboratory Animal Research, 37(1), 23. 10.1186/s42826-021-00101-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.King, A. J. (2012). The use of animal models in diabetes research. British Journal of Pharmacology, 166(3), 877–894. 10.1111/j.1476-5381.2012.01911.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ramirez, S. (2021). Modeling traumatic Brain Injury in Human Cerebral organoids. Cells, 10(10). [DOI] [PMC free article] [PubMed]
  • 16.Grada, A., Mervis, J., & Falanga, V. (2018). Research Techniques made simple: Animal models of Wound Healing. The Journal of Investigative Dermatology, 138(10), 2095–2105e1. 10.1016/j.jid.2018.08.005 [DOI] [PubMed] [Google Scholar]
  • 17.McNamee, P., et al. (2009). A tiered approach to the use of alternatives to animal testing for the safety assessment of cosmetics: Eye irritation. Regulatory Toxicology and Pharmacology, 54(2), 197–209. 10.1016/j.yrtph.2009.04.004 [DOI] [PubMed] [Google Scholar]
  • 18.Macfarlane, M., et al. (2009). A tiered approach to the use of alternatives to animal testing for the safety assessment of cosmetics: Skin irritation. Regulatory Toxicology and Pharmacology, 54(2), 188–196. 10.1016/j.yrtph.2009.04.003 [DOI] [PubMed] [Google Scholar]
  • 19.York, M., & Steiling, W. (1998). A critical review of the assessment of eye irritation potential using the Draize rabbit eye test. Journal of Applied Toxicology, 18(4), 233–240. [DOI] [PubMed] [Google Scholar]
  • 20.Fentem, J. H. (2023). The 19th FRAME Annual lecture, November 2022: Safer Chemicals and Sustainable Innovation Will be achieved by Regulatory Use of Modern Safety Science, not by more animal testing. Alternatives to Laboratory Animals, 51(2), 90–101. 10.1177/02611929231158236 [DOI] [PubMed] [Google Scholar]
  • 21.Daneshian, M., et al. (2015). Animal use for science in Europe. Altex, 32(4), 261–274. 10.14573/altex.1509081 [DOI] [PubMed] [Google Scholar]
  • 22.Center for Drug Evaluation and, R., R. Center for Biologics Evaluation and, and H. International Conference on, Guidance for industry: S6 preclinical safety evaluation of biotechnology-derived pharmaceuticals (1997). Rockville, MD: U.S. Dept. of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research: Center for Biologics Evaluation and Research.
  • 23.Centanni, J. M. (2017). Chap. 2 - Preclinical Animal Testing requirements and considerations. Mesenchymal stromal cells (pp. 37–60). Academic. S. Viswanathan and P. Hematti, Editors.
  • 24.Ioannidis, J. P. A., Kim, B. Y. S., & Trounson, A. (2018). How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation. Nat Biomed Eng, 2(11), 797–809. 10.1038/s41551-018-0314-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Van Norman, G. A. (2016). Drugs, devices, and the FDA: Part 1: An overview of approval processes for drugs. JACC Basic Transl Sci, 1(3), 170–179. 10.1016/j.jacbts.2016.03.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Liebsch, M., et al. (2011). Alternatives to animal testing: Current status and future perspectives. Archives of Toxicology, 85(8), 841–858. 10.1007/s00204-011-0718-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kiani, A. K., et al. (2022). Ethical considerations regarding animal experimentation. Journal of Preventive Medicine and Hygiene, 63(2 Suppl 3), E255–E266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Doke, S. K., & Dhawale, S. C. (2015). Alternatives to animal testing: A review. Saudi Pharm J, 23(3), 223–229. 10.1016/j.jsps.2013.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Akhtar, A. (2015). The flaws and human harms of animal experimentation. Cambridge Quarterly of Healthcare Ethics, 24(4), 407–419. 10.1017/S0963180115000079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Van Norman, G. A. (2020). Limitations of Animal studies for Predicting toxicity in clinical trials: Part 2: Potential Alternatives to the use of animals in preclinical trials. JACC Basic Transl Sci, 5(4), 387–397. 10.1016/j.jacbts.2020.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Dowden, H., & Munro, J. (2019). Trends in clinical success rates and therapeutic focus. Nature Reviews. Drug Discovery, 18(7), 495–496. 10.1038/d41573-019-00074-z [DOI] [PubMed] [Google Scholar]
  • 32.Takebe, T., Imai, R., & Ono, S. (2018). The current status of Drug Discovery and Development as originated in United States Academia: The influence of Industrial and academic collaboration on Drug Discovery and Development. Clinical and Translational Science, 11(6), 597–606. 10.1111/cts.12577 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Sun, D., et al. (2022). Why 90% of clinical drug development fails and how to improve it? Acta Pharm Sin B, 12(7), 3049–3062. 10.1016/j.apsb.2022.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Dutta, D., Heo, I., & Clevers, H. (2017). Disease modeling in stem cell-derived 3D Organoid systems. Trends in Molecular Medicine, 23(5), 393–410. 10.1016/j.molmed.2017.02.007 [DOI] [PubMed] [Google Scholar]
  • 35.Wang, X. (2019). Stem cells in tissues, organoids, and cancers. Cellular and Molecular Life Sciences, 76(20), 4043–4070. 10.1007/s00018-019-03199-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Li, M., & Izpisua Belmonte, J. C. (2019). Organoids - Preclinical models of Human Disease. New England Journal of Medicine, 380(6), 569–579. 10.1056/NEJMra1806175 [DOI] [PubMed] [Google Scholar]
  • 37.Rookmaaker, M. B., et al. (2015). Development and application of human adult stem or progenitor cell organoids. Nature Reviews Nephrology, 11(9), 546–554. 10.1038/nrneph.2015.118 [DOI] [PubMed] [Google Scholar]
  • 38.Clevers, H. (2016). Modeling Development and Disease with Organoids. Cell, 165(7), 1586–1597. 10.1016/j.cell.2016.05.082 [DOI] [PubMed] [Google Scholar]
  • 39.Schutgens, F., & Clevers, H. (2020). Human organoids: Tools for understanding Biology and Treating diseases. Annual Review of Pathology: Mechanisms of Disease, 15, 211–234. 10.1146/annurev-pathmechdis-012419-032611 [DOI] [PubMed] [Google Scholar]
  • 40.Barak, M., et al. (2022). Human iPSC-Derived neural models for studying Alzheimer’s Disease: From neural stem cells to cerebral organoids. Stem Cell Reviews and Reports, 18(2), 792–820. 10.1007/s12015-021-10254-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Romitti, M., et al. (2022). Transplantable human thyroid organoids generated from embryonic stem cells to rescue hypothyroidism. Nature Communications, 13(1), 7057. 10.1038/s41467-022-34776-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ren, Y., et al. (2021). Developments and opportunities for 3D Bioprinted Organoids. Int J Bioprint, 7(3), 364. 10.18063/ijb.v7i3.364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Laperle, A. H., et al. (2020). iPSC modeling of young-onset Parkinson’s disease reveals a molecular signature of disease and novel therapeutic candidates. Nature Medicine, 26(2), 289–299. 10.1038/s41591-019-0739-1 [DOI] [PubMed] [Google Scholar]
  • 44.Avazzadeh, S. (2021). Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology. Brain Sci, 11(3). [DOI] [PMC free article] [PubMed]
  • 45.Stoddard-Bennett, T., & Reijo Pera, R. (2019). Treatment of Parkinson’s Disease through Personalized Medicine and Induced Pluripotent Stem Cells. Cells, 8(1). [DOI] [PMC free article] [PubMed]
  • 46.Funakoshi, S., & Yoshida, Y. (2021). Recent progress of iPSC technology in cardiac diseases. Archives of Toxicology, 95(12), 3633–3650. 10.1007/s00204-021-03172-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Matsa, E., Burridge, P. W., & Wu, J. C. (2014). Human stem cells for modeling heart disease and for drug discovery. Science Translational Medicine, 6(239), 239ps6. 10.1126/scitranslmed.3008921 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hnatiuk, A. P., et al. (2021). Human iPSC modeling of heart disease for drug development. Cell Chem Biol, 28(3), 271–282. 10.1016/j.chembiol.2021.02.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Papapetrou, E. P. (2016). Patient-derived induced pluripotent stem cells in cancer research and precision oncology. Nature Medicine, 22(12), 1392–1401. 10.1038/nm.4238 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Aboul-Soud, M. A. M., Alzahrani, A. J., & Mahmoud, A. (2021). Induced Pluripotent Stem cells (iPSCs)-Roles in Regenerative therapies, Disease Modelling and Drug Screening. Cells, 10(9). [DOI] [PMC free article] [PubMed]
  • 51.Sun, W., et al. (2019). Organ-on-a-Chip for Cancer and Immune organs modeling. Adv Healthc Mater, 8(15), e1900754. 10.1002/adhm.201900754 [DOI] [PubMed] [Google Scholar]
  • 52.Wang, Y., et al. (2020). Dantrolene ameliorates impaired neurogenesis and synaptogenesis in Induced pluripotent stem cell lines derived from patients with Alzheimer’s Disease. Anesthesiology, 132(5), 1062–1079. 10.1097/ALN.0000000000003224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Beckwitt, C. H., et al. (2018). Liver ‘organ on a chip’. Experimental Cell Research, 363(1), 15–25. 10.1016/j.yexcr.2017.12.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Shi, W., et al. (2021). Design and evaluation of an in vitro mild traumatic brain Injury modeling System using 3D printed Mini Impact device on the 3D cultured human iPSC derived neural progenitor cells. Adv Healthc Mater, 10(12), e2100180. 10.1002/adhm.202100180 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lee, J., et al. (2020). Hair-bearing human skin generated entirely from pluripotent stem cells. Nature, 582(7812), 399–404. 10.1038/s41586-020-2352-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Jung, S. Y., et al. (2022). Wnt-activating human skin organoid model of atopic dermatitis induced by Staphylococcus aureus and its protective effects by Cutibacterium acnes. iScience, 25(10), 105150. 10.1016/j.isci.2022.105150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Risueño, I., et al. (2021). Skin-on-a-chip models: General overview and future perspectives. APL Bioeng, 5(3), 030901. 10.1063/5.0046376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Aghmiuni, A. I., & Keshel, S. H. (2023). Chap. 10 - Eye-on-a-chip, in Principles of Human Organs-on-Chips, M. Mozafari, Editor. Woodhead Publishing. pp. 315–369.
  • 59.Andrews, M. G., & Kriegstein, A. R. (2022). Challenges of Organoid Research. Annual Review of Neuroscience, 45, 23–39. 10.1146/annurev-neuro-111020-090812 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Pleguezuelos-Manzano, C., et al. (2020). Establishment and culture of human intestinal organoids derived from adult stem cells. Current Protocols In Immunology / Edited By John E. Coligan. [Et Al.], 130(1), e106. 10.1002/cpim.106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Wahle, P., et al. (2023). Multimodal spatiotemporal phenotyping of human retinal organoid development. Nature Biotechnology, 41(12), 1765–1775. 10.1038/s41587-023-01747-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Kathuria, A., et al. (2020). Comparative transcriptomic analysis of cerebral organoids and cortical neuron cultures derived from Human Induced Pluripotent Stem cells. Stem Cells and Development, 29(21), 1370–1381. 10.1089/scd.2020.0069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Zhao, J., et al. (2020). APOE4 exacerbates synapse loss and neurodegeneration in Alzheimer’s disease patient iPSC-derived cerebral organoids. Nature Communications, 11(1), 5540. 10.1038/s41467-020-19264-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Zhu, X., et al. (2021). Liver organoids: Formation strategies and Biomedical Applications. Tissue Eng Regen Med, 18(4), 573–585. 10.1007/s13770-021-00357-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Zhao, Z. (2022). Organoids Nat Rev Methods Primers, 2. [DOI] [PMC free article] [PubMed]
  • 66.Drakhlis, L., et al. (2021). Human heart-forming organoids recapitulate early heart and foregut development. Nature Biotechnology, 39(6), 737–746. 10.1038/s41587-021-00815-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Broutier, L., et al. (2016). Culture and establishment of self-renewing human and mouse adult liver and pancreas 3D organoids and their genetic manipulation. Nature Protocols, 11(9), 1724–1743. 10.1038/nprot.2016.097 [DOI] [PubMed] [Google Scholar]
  • 68.Sun, Y., et al. (2021). Generating 3D-cultured organoids for pre-clinical modeling and treatment of degenerative joint disease, in Signal Transduct Target Ther (p. 380). England. [DOI] [PMC free article] [PubMed]
  • 69.Hemeryck, L., et al. (2022). Organoids from human tooth showing epithelial stemness phenotype and differentiation potential. Cellular and Molecular Life Sciences, 79(3), 153. 10.1007/s00018-022-04183-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Huch, M., et al. (2013). In vitro expansion of single Lgr5 + liver stem cells induced by wnt-driven regeneration. Nature, 494(7436), 247–250. 10.1038/nature11826 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Sullivan, K. M., et al. (2022). Extracellular Microenvironmental Control for Organoid Assembly. Tissue Eng Part B Rev, 28(6), 1209–1222. 10.1089/ten.teb.2021.0186 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Low, L. A., et al. (2021). Organs-on-chips: Into the next decade. Nature Reviews. Drug Discovery, 20(5), 345–361. 10.1038/s41573-020-0079-3 [DOI] [PubMed] [Google Scholar]
  • 73.Bhatia, S. N., & Ingber, D. E. (2014). Microfluidic organs-on-chips. Nature Biotechnology, 32(8), 760–772. 10.1038/nbt.2989 [DOI] [PubMed] [Google Scholar]
  • 74.Leung, C. M., et al. (2022). A guide to the organ-on-a-chip. Nature Reviews Methods Primers, 2(1), 33. 10.1038/s43586-022-00118-6 [DOI] [Google Scholar]
  • 75.Olgasi, C., Cucci, A., & Follenzi, A. (2020). iPSC-Derived liver organoids: A journey from Drug Screening, to Disease modeling, arriving to Regenerative Medicine. International Journal of Molecular Sciences, 21(17). [DOI] [PMC free article] [PubMed]
  • 76.Picollet-D’hahan, N., et al. (2021). Multiorgan-on-a-Chip: A systemic Approach to Model and Decipher Inter-organ Communication. Trends Biotechnol, 39(8), 788–810. 10.1016/j.tibtech.2020.11.014 [DOI] [PubMed] [Google Scholar]
  • 77.Wang, H., et al. (2021). 3D cell culture models: Drug pharmacokinetics, safety assessment, and regulatory consideration. Clinical and Translational Science, 14(5), 1659–1680. 10.1111/cts.13066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Kang, S., Park, S. E., & Huh, D. D. (2021). Organ-on-a-chip technology for nanoparticle research. Nano Converg, 8(1), 20. 10.1186/s40580-021-00270-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Kim, C. (2015). iPSC technology–powerful hand for disease modeling and therapeutic screen. Bmb Reports, 48(5), 256–265. 10.5483/BMBRep.2015.48.5.100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Qian, L., & Tcw, J. (2021). Human iPSC-Based modeling of central nerve System disorders for Drug Discovery. International Journal of Molecular Sciences, 22(3). [DOI] [PMC free article] [PubMed]
  • 81.Gómez-Lechón, M. J., & Tolosa, L. (2016). Human hepatocytes derived from pluripotent stem cells: A promising cell model for drug hepatotoxicity screening. Archives of Toxicology, 90(9), 2049–2061. 10.1007/s00204-016-1756-1 [DOI] [PubMed] [Google Scholar]
  • 82.Blaszkiewicz, J., & Duncan, S. A. (2022). Advancements in Disease modeling and Drug Discovery using iPSC-Derived hepatocyte-like cells. Genes (Basel), 13(4). [DOI] [PMC free article] [PubMed]
  • 83.O’Connor, M. D. (2013). The 3R principle: Advancing clinical application of human pluripotent stem cells. Stem Cell Research & Therapy, 4(2), 21. 10.1186/scrt169 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Parrotta, E. I. (2020). Modeling Cardiac Disease mechanisms using Induced Pluripotent Stem Cell-Derived cardiomyocytes: Progress, promises and challenges. International Journal of Molecular Sciences, 21(12). [DOI] [PMC free article] [PubMed]
  • 85.Takebe, T., et al. (2013). Vascularized and functional human liver from an iPSC-derived organ bud transplant. Nature, 499(7459), 481–484. 10.1038/nature12271 [DOI] [PubMed] [Google Scholar]
  • 86.Lee, A. S., et al. (2013). Tumorigenicity as a clinical hurdle for pluripotent stem cell therapies. Nature Medicine, 19(8), 998–1004. 10.1038/nm.3267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Kramer, N., et al. (2016). Full biological characterization of human pluripotent stem cells will open the door to translational research. Archives of Toxicology, 90(9), 2173–2186. 10.1007/s00204-016-1763-2 [DOI] [PubMed] [Google Scholar]
  • 88.Balls, M., Bailey, J., & Combes, R. D. (2019). How viable are alternatives to animal testing in determining the toxicities of therapeutic drugs? Expert Opinion on Drug Metabolism & Toxicology, 15(12), 985–987. 10.1080/17425255.2019.1694662 [DOI] [PubMed] [Google Scholar]
  • 89.Administration, U. S. F. D. (2021). Advancing New Alternative Methodologies at FDA. Jan U.S. Food & Drug Administration: FDA website. pp. 1–34.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data pertaining to this manuscript are included within the article.


Articles from Stem Cell Reviews and Reports are provided here courtesy of Springer

RESOURCES