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    <front>
        <journal-meta>
            <journal-title-group>
                <journal-title>INRAE Productions Animales</journal-title>
            </journal-title-group>
        </journal-meta>
        <article-meta>
            <title-group>
                <article-title>Interest of in vitro cultures of stem cells and organoids in toxicological studies</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mortaud</surname>
                        <given-names>Stéphane</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Méresse</surname>
                        <given-names>Sarah</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Larrigaldie</surname>
                        <given-names>Vanessa</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>UMR</surname>
                        <given-names>INEM</given-names>
                    </name>
                    <xref ref-type="aff">
                        <sup>
                            <italic>5</italic>
                        </sup>
                    </xref>
                    <xref ref-type="aff">
                        <sup>
                            <italic>5</italic>
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                    <xref ref-type="aff">
                        <sup>
                            <italic>3</italic>
                        </sup>
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                    <xref ref-type="aff">
                        <sup>
                            <italic>7</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Team</surname>
                        <given-names>NeurotoxicityandDevelopment</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Férollerie</surname>
                        <given-names>3Bruedela</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname></surname>
                        <given-names>4</given-names>
                    </name>
                    <xref ref-type="aff">
                        <sup>
                            <italic>1</italic>
                        </sup>
                    </xref>
                    <xref ref-type="aff">
                        <sup>
                            <italic>7</italic>
                        </sup>
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                    <xref ref-type="aff">
                        <sup>
                            <italic>0</italic>
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                    </xref>
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                        <sup>
                            <italic>5</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname></surname>
                        <given-names>Orléans</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname></surname>
                        <given-names>France</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <abstract>
                <sec id="Abstract">
                    <title>Abstract</title>
                    <p/>
                    <p>
                        <bold>
                            <italic>Interest of in vitro cultures of stem cells and organoids in toxicological studies</italic>
                        </bold>
                    </p>
                    <p/>
                    <p>The toxicity of our environment and its impact on health are of increasing concern to the public. Some pollutants present in the environment can disrupt whole ecosystems and the trophic level. In some cases, they can affect wild animals, domestic animals, and even be transferred to the human species. Poisoning is defined as an "introduction or bio-accumulation of a toxic substance in the body".  It is therefore important to assess the effect of these toxic substances in order to anticipate the consequences of their exposure to organisms. Depending on the model used, these evaluations may contain important biases. Indeed, metabolism varies among organisms, and therefore the ability to adapt to, bio-accumulate, or eliminate a toxin from the environment is specific to the species. The toxicity for the animal assimilating it and the risk of these substances becoming available for human consumption are therefore very variable. This problem is found in the toxicological context of medicinal drugs. The toxicological study should therefore be specific to the target species, including for humans. As it stands, there is a significant difference between the results obtained during the pre-clinical phases and those obtained during clinical trials.  In addition, the use of animal models is subject to regulations within the European Union, which are particularly focused on limiting the use of animals for scientific purposes whenever possible. The importance of in vitro methods developed over the last few decades thanks to increased fundamental knowledge of stem cells, and the associated technological advances, is therefore very clear. These methods allow the production of 3-dimensional cultures mimicking the real structures of organisms, hence the name organoids. These tools are becoming key elements in toxicological approaches, whether in terms of toxic exposure problems, or human and veterinary preclinical studies.</p>
                    <p/>
                </sec>
                <sec id="Résumé">
                    <title>Résumé</title>
                    <p/>
                    <p>
                        <bold>
                            <italic>Intérêts des cultures in vitro de cellules souches et d’organoïdes dans le cadre d’études toxicologiques</italic>
                        </bold>
                    </p>
                    <p/>
                    <p>La toxicité de notre environnement et son impact sur la santé préoccupent de plus en plus la population. Certains polluants présents dans l’environnement peuvent affecter l’ensemble de l’environnement et des chaînes trophiques. Dans certains cas, ils peuvent affecter les animaux sauvages, les animaux domestiques, jusqu’à un transfert au sein de l’espèce humaine. Une intoxication correspond à une « introduction ou bio-accumulation d’une substance toxique dans l’organisme ». L’effet de ces substances toxiques est donc important à évaluer pour anticiper ses conséquences sur les organismes. Selon le modèle utilisé, ces évaluations peuvent contenir des biais importants. En effet le métabolisme est différent d’un organisme à l’autre, et donc la capacité à gérer un toxique de l’environnement, à le bio-accumuler ou à l’éliminer est spécifique de l’espèce. La toxicité pour l’animal les assimilant et la disponibilité de ces substances lors de la consommation humaine sont donc très variables. Cette problématique est retrouvée dans un autre contexte toxicologique, celui des drogues médicamenteuses. L’étude toxicologique devrait donc se faire de façon spécifique à l’espèce ciblée, y compris pour l’espèce humaine. En effet un écart important existe entre les résultats obtenus lors des phases pré-cliniques et ceux obtenus lors des essais cliniques. Par ailleurs l’utilisation des modèles animaux fait l’objet d’une réglementation au sein de l’union européenne qui s’attache particulièrement à la limitation de l’utilisation des animaux à des fins scientifiques quand cela est possible. Dans ces contextes se place toute l’importance de méthodes in vitro qui se sont développées au cours des dernières décennies grâce à l’avancée des connaissances fondamentales portant sur les cellules souches, ainsi que des avancées techniques qui y ont été associées. Ces méthodes ont permis la production de cultures en 3 dimensions mimant les structures réelles des organismes, d’où leur nom d’organoïdes. Ces outils deviennent des éléments clés des approches toxicologiques, qu’elles soient liées aux problèmes des expositions à des toxiques ou aux études précliniques humaines et vétérinaires.</p>
                </sec>
            </abstract>
        </article-meta>
    </front>
    <body>
        <sec id="Header">
            <title>Header</title>
            <p/>
            <p>The use of both animal models and cell lines can be problematic when conducting biological, and in particular, toxicological studies. Firstly, there can be discrepancies between the response of the animal model used, and that of the actual species being studied, and secondly, transformed cell lines can give a response that is far removed from physiology. The use of stem cells and organoids <italic>in vitro </italic>is a promising solution to some of these difficulties.</p>
        </sec>
        <sec id="Introduction">
            <title>Introduction</title>
            <p/>
            <p>People are increasingly concerned about the toxicity of our environment and its impact on our health. Toxicity corresponds to the "introduction or bio-accumulation of a toxic substance in the body", and the aim of toxicology is therefore to understand and predict the undesirable effects of drugs and other xenobiotics. A xenobiotic is defined as a foreign molecule present in a living organism; it is neither produced by the organism itself nor introduced through its natural diet. A xenobiotic may be capable of disrupting the normal functioning of an individual and lead to harmful effects on the organism. These substances may be environmental pollutants, food additives or medicines. </p>
            <p/>
            <p>The many environmental pollutants to which we are exposed can become part of the trophic chain, mostly starting with plants, then followed by primary and secondary predators, the category to which humans belong. These environmental toxins include Persistent Organic Pollutants (POPs), such as polychlorinated biphenyls (PCBs), and dioxins. These molecules accumulate at cellular level, particularly in adipocytes, making them very difficult to eliminate (<xref ref-type="bibr" rid="ref51">La Rocca and Mantovani, 2006</xref>). Other types of pollutants, such as heavy metals and pesticides, can also pose health problems. Natural toxins can also be a problem, for example poisoning by cyanobacterial toxins is becoming more frequent due to global warming (<xref ref-type="bibr" rid="ref1">Abeysiriwardena <italic>et al.</italic>, 2018</xref>).  </p>
            <p/>
            <p>Medicines are also considered to be xenobiotics and are therefore very much involved in toxicological studies. Medicines are essentially bioactive substances that can be toxic if they are not used correctly or if they are not adapted to the target organism. For example, substances developed for human use are not necessarily compatible with veterinary use. Medicines bought over the counter can be very dangerous for pets. Aspirin and ibuprofen are two examples of pharmaceutical compounds that are highly toxic for cats and dogs, and can lead to coma. The enzymes that break down these molecules in the body are not present in these species: severe liver and kidney complications can occur in dogs with doses as low as 50 mg/kg (<xref ref-type="bibr" rid="ref77">Tauk and Foster, 2016</xref>). Another concrete example of inter-species differences in susceptibility is when paracetamol-loaded mice placed on the island of Guam were able to greatly reduce the number of <italic>Boiga irregularis</italic> snake specimens (<xref ref-type="bibr" rid="ref47">Johnston <italic>et al.</italic>, 2002</xref>).</p>
            <p/>
            <p>Toxicological studies are therefore necessary to assess the risk-benefit ratio of future medicines and the possible toxicity of pesticides on non-target species before or after they are marketed.  </p>
            <p/>
            <p>From an ethical point of view, xenobiotics cannot be tested on humans. Only clinical evaluations, psychometric or neurosensory tests, and electrophysiological or imaging examinations can be carried out. Various experimental approaches have therefore been developed, including <italic>in vivo</italic>, <italic>in vitro, </italic>and <italic>in silico </italic>models.  </p>
            <p/>
            <p>
                <italic>In silico</italic> models are computer experiments that store, compile, exchange and use information from previously conducted <italic>in vitro</italic> and <italic>in vivo</italic> experiments. These numerical methods make it possible to predict the toxicokinetics of a molecule, thereby reducing the cost and duration of studies. Various <italic>in silico</italic> models have been developed to describe the relationship between the chemical structure and the activity of a compound, namely <italic>Structure-Activity</italic> Relationship (SAR) models and Quantitative <italic>Structure-Activity Relationship</italic> (QSAR) models. In the classical, or mono-compartmental toxicokinetic model, it is possible to predict the concentration of the toxicant as a function of time and exposure dose. The <italic>physiologicallybasedpharmacokinetic</italic>   (PBPK) <italic>model</italic> relies on real knowledge of the system by subdividing the organism into compartments linked by a circulating fluid (<xref ref-type="bibr" rid="ref18">Coumoul <italic>et al.</italic>, 2023</xref>). </p>
            <p/>
            <p>The most commonly used <italic>in vivo</italic> models are rats, mice, rabbits, guinea pigs, and dwarf pigs, due to their physiological and molecular similarities to humans. However, the effects of a toxic substance may vary according to the time of exposure, the dose, and the route of exposure. In accordance with OECD guidelines, four protocols are used in toxicological studies to test acute toxicity, sub-acute toxicity, sub-chronic toxicity, and chronic toxicity (<xref ref-type="bibr" rid="ref18">Coumoul <italic>et al.</italic>, 2023</xref>). For drugs and Marketing Authorisation (MA), pre-clinical trials are conducted on model organisms (usually rodents) under experimental conditions, and clinical trials are conducted on the target species.</p>
            <p/>
            <p>Animal experimentation makes it possible to study the effects of a toxic molecule on the physiology and metabolism of a single individual, thereby predicting toxicity in humans. The toxicological impact of a substance is generally studied according to the ADME concept: Absorption, Distribution in the body, Metabolisation, and Elimination. These processes reflect an organism's ability to adapt to, bio-accumulate or eliminate a xenobiotic. From one individual to another and from one species to another, there can be significant variations, resulting in varied responses to a toxic substance or drug treatment. </p>
            <p/>
            <p>These <italic>in vivo</italic> tests require a large number of animals, and the 3Rs principle <italic>(Replace/Reduce/Refine</italic>) defined in 1959 by Russell and Burch to improve animal welfare has become one of the fundamental principles of research underpinned by the requirements of Directive 2010/63/EC1. The 3Rs rule consists of replacing animal experimentation where possible, and optimising the replacement methodologies to guarantee high quality scientific results. The European REACH (<italic>Registration, Evaluation, Authorisation and restriction of CHemicals</italic>) regulation for the registration, evaluation, authorisation and restriction of chemical substances also favours <italic>in vitro</italic> and <italic>in silico</italic> methods (<xref ref-type="bibr" rid="ref44">Jean-Quartier <italic>et al.</italic>, 2018</xref>).</p>
            <p/>
            <p>This is where the importance of the <italic>in vitro </italic>methods that have developed over the last few decades comes into play. There are two main cell culture models for testing the toxicology of xenobiotics.</p>
            <p/>
            <p>Primary cultures are derived directly from cells in an organism. The cells are isolated by mechanical and/or chemical dissociation, usually using enzymes. They have a limited number of cell divisions, making these culture models fairly close to the physiological state of cells in the organism. Among primary cultures, stem cell cultures are a valuable tool, particularly in medicine.  These are undifferentiated, pluripotent cells that can give rise to different cell types depending on the culture medium. This type of culture has expanded rapidly with induced pluripotent stem cells (iPSCs): these cells, discovered in 2006 by Shinya Yamanaka (winner of the Nobel Prize for Medicine in 2012), enable different cell types to be obtained from a single somatic cell. In contrast cell lines are derived from cancer cells immortalised by transfection of a viral oncogene from cultures of primary cells. In this case, the number of cell divisions is close to infinite and the same culture can be maintained for a long time without any risk of drift. This makes it possible to obtain reproducible results quickly, and at lower cost.</p>
            <p/>
            <p>Two main types of cell cultures are used: cultures in monolayers of cells in two dimensions (2D), and cultures in 3 dimensions (3D). While 2D culture promotes proliferation and therefore its study, it does not reproduce all the conditions of the living organism (<xref ref-type="bibr" rid="ref79">Yamada and Cukierman, 2007</xref>; <xref ref-type="bibr" rid="ref17">Costa <italic>et al.</italic>, 2016</xref>). 3D culture enables cell differentiation to be better preserved via interactions with the environment. 3D co-culture models enable the association of different cell types, thereby favouring the interactions and intercellular communications normally present in <italic>vivo</italic>. Thanks to these <italic>in vitro models,</italic> numerous toxicological parameters can be assessed in order to study the impact of a compound and thus determine its cytotoxicity, genotoxicity, changes in energy metabolism, or differentiation processes. The use of human cell lines allows data to be extrapolated to humans. </p>
            <p/>
            <p>Thus, out of all the different cell models, primary stem cell cultures or organoid cultures (<italic>see </italic>paragraph 2) appear to be good compromises, as they allow a reduction in the number of animals used, and a decrease of certain experimental biases. These cell culture models are particularly interesting for studying the toxic effects of environmental pollutants and the underlying cellular mechanisms.</p>
        </sec>
        <sec id="1.-Toxicology-and-environmental-pollutants">
            <title>1. Toxicology and environmental pollutants</title>
            <sec id="Methodological-approaches">
                <title>Methodological approaches</title>
                <p/>
                <p>Since the 20th century, numerous health scandals have led to the introduction of stricter regulations on xenobiotics, including heavy metals such as mercury, pesticides such as glyphosate and endocrine disrupters such as phthalates. Concepts have had to evolve due to the large number of chemical substances to be assessed and the need to limit the use of animal experiments. Toxicology now incorporates new parameters for a more detailed assessment of the risks associated with our environment, such as dose-response relationships (LOAEL: <italic>Lowest Observed Adverse Effect Level</italic>; NOAEL: <italic>No Observable Adverse Effect Level</italic>) and <italic>Toxicological Reference Values </italic>(TRV). There has also been a move towards a predictive toxicology/ecotoxicology framework, with the aim of establishing credible causal relationships and developing quantitative extrapolation tools/models. This approach has led to the development of the concept of <italic>Adverse Outcome </italic>Pathways (AOP).</p>
                <p/>
                <p>An AOP is a conceptual construct (Figure 1) describing existing knowledge of the causal link between a direct triggering molecular event and the production of an adverse effect for an individual (<xref ref-type="bibr" rid="ref5">Ankley <italic>et al.</italic>, 2010</xref>). </p>
                <p/>
                <p>An AOP therefore corresponds to a series of events at different biological levels: molecular, cellular and tissue, on an individual or at the scale of a population. It makes it possible to characterise, organise and define predictive relationships between key events and adverse reactions relevant to risk assessment. The information can be based on <italic>in vitro</italic>, <italic>in vivo</italic> or <italic>in silico</italic> models (<xref ref-type="bibr" rid="ref5">Ankley <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="ref18">Coumoul <italic>et al.</italic>, 2023</xref>). The AOP concept makes it possible to identify the tests to be carried out <italic>in vitro</italic> or <italic>in vivo</italic> more quickly, and knowledge of the chemical and biochemical structure of the pollutant makes it possible to identify the pathways that are likely to be disturbed. </p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 1: Concept of an AOP (after <xref ref-type="bibr" rid="ref5">Ankley <italic>et al.</italic>, 2010</xref>).</title>
                            <p/>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image1.png"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 1: Concept of an AOP (after <xref ref-type="bibr" rid="ref5">Ankley <italic>et al.</italic>, 2010</xref>).</title>
                        <p/>
                    </caption>
                    <graphic mimetype="image" ns1:type="simple" ns1:href="image1.png"/>
                </fig>
                <p/>
                <p/>
            </sec>
            <sec id="Early-exposure-and-its-impact-on-development">
                <title>Early exposure and its impact on development</title>
                <p/>
                <p>It is essential to take the period of exposure (earliness), the toxicity of low doses, and the chronic exposure into account. Several factors may interact with these time windows, and the consequences may not necessarily be immediate, but can manifest themselves later on in life (<xref ref-type="bibr" rid="ref4">Andersen, 2003</xref>; <xref ref-type="bibr" rid="ref37">Hale <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="ref78">Vaudin <italic>et al.</italic>, 2022</xref>). There is increasing evidence that many compounds inhibit and impact normal foeto-embryonic development (methylmercury, dioxins, pesticides, polychlorinated biphenyls - PCBs, nanoparticles, polycyclic aromatic hydrocarbons - PAHs; heavy metals). These chemical compounds are found in the environment and in food, alone or mixed, and can act as neurotoxic agents and/or neuro-endocrine disruptors via their cytotoxic, pro-inflammatory, and pro-oxidant effects (<xref ref-type="bibr" rid="ref69">Roegge and Schantz, 2006</xref>; <xref ref-type="bibr" rid="ref21">Dietert, 2012</xref>; <xref ref-type="bibr" rid="ref23">Dridi <italic>et al.</italic>, 2014</xref>). </p>
                <p/>
                <p>If we take the example of the nervous system during the pre- and postnatal periods, the developing brain displays structural and cellular set-ups that are highly sensitive and vulnerable to the risks of toxic exposure, in particular environmental contaminants (<xref ref-type="bibr" rid="ref4">Andersen, 2003</xref>; <xref ref-type="bibr" rid="ref42">Ingber and Pohl, 2016</xref>). Maternal lifestyle, along with its various environmental and dietary exposures, is one of the most important factors interfering with the development of the immature brain (<xref ref-type="bibr" rid="ref56">Lauritzen <italic>et al.</italic>, 2001</xref>; <xref ref-type="bibr" rid="ref26">Fall, 2009</xref>; <xref ref-type="bibr" rid="ref37">Hale <italic>et al.</italic>, 2014</xref>). Maternal pre- and/or postnatal diet may alter or reprogram brain development through epigenetic regulation of inflammatory pathways such as hypomethylation of inflammatory genes, deregulation of the <italic>hypothalamic-pituitary-adrenal</italic> (HPA) axis, and activation of microglial cells that induce inflammatory mechanisms by producing inflammatory pro-cytokines (<xref ref-type="bibr" rid="ref75">Spencer, 2013</xref>). </p>
                <p/>
                <p>The deregulations of cellular metabolism induced by environmental exposures could condition a number of late effects throughout life, with an increased risk of the onset of pathologies including neuropsychiatric disorders, such as behavioural disorders, and cognitive and neurological deficits (neurodegenerative diseases) in adulthood (<xref ref-type="bibr" rid="ref4">Andersen, 2003</xref>; <xref ref-type="bibr" rid="ref9">Bilbo and Schwarz, 2009</xref>; <xref ref-type="bibr" rid="ref11">Bolton and Bilbo, 2014</xref>).  </p>
                <p/>
                <p>These disturbances may be of maternal, placental and/or foetal origin and may act differentially and selectively between the sexes (<xref ref-type="bibr" rid="ref37">Hale <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="ref36">Hagberg <italic>et al.</italic>, 2015</xref>). Pollutants to which individuals are exposed early can cross protective barriers such as the placenta, the intestine and the blood-brain barrier (BBB), and also be available in breast milk, thus causing perinatal brain reprogramming <italic>via</italic> early inflammation (<xref ref-type="bibr" rid="ref58">Li <italic>et al.</italic>, 2013</xref>). </p>
            </sec>
            <sec id="Multiple-exposures-and-their-impact-on-development">
                <title>Multiple exposures and their impact on development</title>
                <p/>
                <p>A major challenge is the assessment of the health risks of multiple exposures to a mixture (cocktail) of chemical micro-contaminants from the environment and food. Using an <italic>in vivo</italic> mouse model, it has been shown that perinatal exposure to a mixture of PCBs at low environmental doses induces oxidative stress in adult mice, which is correlated with disturbances to social behaviour and an increase in anxiety; these effects are sex- and age-dependent (<xref ref-type="bibr" rid="ref49">Karkaba <italic>et al.</italic>, 2017</xref>). This study shows that there is a link between endocrine effects following exposure to this mixture of pollutants and abnormal social behaviour in offspring. In addition, in 2022 an <italic>in vivo</italic> study on adult mice demonstrated that exposure to a mixture of pollutants (phthalates) present in the environment could promote the development of neurodegenerative diseases and disrupt nerve cell function by disrupting the glio-neurovascular axis (<xref ref-type="bibr" rid="ref2">Ahmadpour <italic>et al.</italic>, 2022</xref>). </p>
                <p/>
                <p>These deleterious effects, as well as inflammatory and oxidative stresses early in life, may therefore be plausible causal factors for the appearance of behavioural disorders observed in animals, as shown in the mouse model for depression. Hyperactivity in middle-aged adult mice and cognitive impairment observed only in middle-aged female offspring have also been reported. The latter point suggests that sex plays an important role in determining the nature of the resulting alterations (<xref ref-type="bibr" rid="ref24">Dridi <italic>et al.</italic>, 2021</xref>).</p>
            </sec>
        </sec>
        <sec id="2.-Limitations-of-in-vivo-models-and-development-of-in-vitro-models">
            <title>2. Limitations of in vivo models and development of in vitro models</title>
            <p/>
            <p>The various experimental tests set up to study the impact of these exposures often involve the use of animal models during gestation (<italic>in utero</italic> exposure), and also during lactation (<xref ref-type="bibr" rid="ref54">Laugeray <italic>et al.</italic>, 2017</xref>). In addition, observations have been carried out on multiple systemic functions, which in turn increases the number of animals used.  When it comes to studying the toxicology of xenobiotics on livestock, wild animals, or humans, these <italic>in vivo</italic> studies become extremely complicated to implement for ethical and financial reasons. In line with AOPs and the 3Rs rule, <italic>in vitro</italic> methods are commonly used to try to explain the underlying molecular mechanisms. In addition, more simplified and rapid models supported by data processing and modelling tools are eagerly awaited by the scientific community. With technological and scientific advances, <italic>in vitro</italic> models are being combined with advanced 'bio-omics' tools: genomics to study genes and epigenetic modifications, transcriptomics to study RNA molecules, proteomics to study proteins, and metabolomics to study metabolomic responses (<xref ref-type="bibr" rid="ref48">Karahahil, 2016</xref>; <xref ref-type="bibr" rid="ref67">Pieters <italic>et al.</italic>, 2021</xref>). These techniques generate a great deal of data and help to make predictive assessment faster and more reliable for characterising the danger of these exposures (<xref ref-type="bibr" rid="ref19">D'Almeida <italic>et al.</italic>, 2020</xref>). The wide range of data generated by<italic/>these models can be analysed, and computer tools can be used to highlight the high significance of the results obtained in comparison with data obtained from <italic>in vivo</italic> animal tests.</p>
            <sec id="2.1.-The-use-of-stem-cells-as-an-in-vitro-study-model">
                <title>2.1. The use of stem cells as an in vitro study model</title>
                <p/>
                <p>Large-scale <italic>in vitro</italic> toxicological tests on cell differentiation or to establish NOAELs and LOAELs have been made possible by advances in research and fundamental knowledge of stem cells, as well as the associated technological advances. Embryonic stem (ES) cells are characterised by their ability to self-renew and by their pluripotency, i.e. the ability to give rise to differentiated cell lines (<xref ref-type="bibr" rid="ref45">Jervis <italic>et al.</italic>, 2019</xref>; <xref ref-type="bibr" rid="ref80">Zhao <italic>et al.</italic>, 2021</xref>). It has been shown that these stem cells cultured <italic>in vitro</italic> with the required growth and differentiation factors, in the presence of extracellular matrix components, can proliferate while retaining their 'stemness'. It is also possible to use protocols involving iPSCs: for these cells, dedifferentiation of a somatic cell into a stem cell is induced. It is then possible to redirect their differentiation, for example into <italic>Neural Stem Cells (NSC</italic>) (Figure 2). They can also be used to produce self-organising three-dimensional (3D) structures (described below).</p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 2: Brain stem cell (NSC) cultures.</title>
                            <p>
<bold>
    <italic>A: </italic>
</bold>Fluorescence immunocytology photograph of an NSC culture before differentiation. NSCs are made up of three populations: in orange, GFAP (Glial fibrillary acidic protein)+/Nestin+ cells (stem cells proper, B1); in green, Nestin+ cells (intermediate C progenitors), in red, GFAP+ cells (Astrocytes); in blue, DAPI (cell nuclei).<bold>
    <italic>B: </italic>
</bold>Photograph of an NSC culture after differentiation: here, the differentiation into ependymocytes, which occurs in the absence of growth factors. Red: actin, green: polyglutamylated tubulin. The ciliated tufts of the ependymocytes are highly polyglutamylated. (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>)</p>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image2.jpg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 2: Brain stem cell (NSC) cultures.</title>
                        <p>
                            <bold>
<italic>A: </italic>
                            </bold>Fluorescence immunocytology photograph of an NSC culture before differentiation. NSCs are made up of three populations: in orange, GFAP (Glial fibrillary acidic protein)+/Nestin+ cells (stem cells proper, B1); in green, Nestin+ cells (intermediate C progenitors), in red, GFAP+ cells (Astrocytes); in blue, DAPI (cell nuclei).<bold>
<italic>B: </italic>
                            </bold>Photograph of an NSC culture after differentiation: here, the differentiation into ependymocytes, which occurs in the absence of growth factors. Red: actin, green: polyglutamylated tubulin. The ciliated tufts of the ependymocytes are highly polyglutamylated. (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>)</p>
                    </caption>
                    <graphic mimetype="image" ns1:type="simple" ns1:href="image2.jpg"/>
                </fig>
                <p/>
            </sec>
            <sec id="2.2.-Use-of-stem-cells-for-2D-cultures">
                <title>2.2. Use of stem cells for 2D cultures</title>
                <p/>
                <p>2D ES cell culture models are already a good tool for assessing the toxicity and impact of a drug, a mixture of micro-contaminants, or even the impact of toxins on cellular function (<xref ref-type="bibr" rid="ref15">Chen <italic>et al.</italic>, 2021</xref>). A wide range of data can be obtained, for example by analysing cell differentiation capacities, quantifying different biomarkers using molecular tools involving 'omics' approaches, or collecting biochemical data (<xref ref-type="bibr" rid="ref20">Danoy <italic>et al.</italic>, 2021</xref>). The main objective of this type of approach is to enrich the scientific data concerning the impact of exposure to mixtures of contaminants, in order to advance studies of toxicity mechanisms, improve the prediction of these toxic effects, and contribute to strengthening risk assessment and regulation in terms of environmental and food safety. </p>
                <p/>
                <p>The results can also help us to understand the aetiology, allowing the consequences of early and chronic exposure to low-dose environmental contaminants to be assessed using a reduced, reliable and rapid model rather than <italic>in vivo </italic>models. The data generated can then also help to provide additional data for establishing exposure limit values (toxicological reference values) for different mixtures of contaminants. Cell cultures of these stem cells are therefore valuable models for studying the effects of xenobiotics.</p>
                <p/>
                <p>We set up an NSC culture model in the laboratory which enables us to assess the potential deleterious effects of environmental toxicants at the cellular level (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>; <xref ref-type="bibr" rid="ref61">Méresse <italic>et al.</italic>, 2022</xref>). For example, we can visualize the translocation of the nuclear factor NF-κB, which would be difficult with an <italic>in vivo</italic> model (Figure 3). </p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 3. Immunocytological applications of NSC cultures.</title>
                            <p>
<bold>
    <italic>A: Demonstration of </italic>
</bold>nuclear translocation of NF-κB after stimulation with a lipopolysaccharide (LPS) representing a pro-inflammatory signal. The NF-κB factor is present at cytoplasmic level: in the presence of a pro-inflammatory signal recognised by the cell, it undergoes translocation into the cell nucleus where it activates the expression of genes involved in inflammatory processes. In red, GFAP (Glial fibrillary acidic protein) + cells; in green, phosphorylated NF-κB factor; in blue, DAPI. Green and blue nuclei show translocation. <bold>
    <italic>B: </italic>
</bold>Demonstration of cell proliferation. In red, Ki67 marker showing the nuclei of cells in the proliferative phase; in green, IBA1 marker highlighting microglial cells (resident macrophages of the nervous system).</p>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image3.jpg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 3. Immunocytological applications of NSC cultures.</title>
                        <p>
                            <bold>
<italic>A: Demonstration of </italic>
                            </bold>nuclear translocation of NF-κB after stimulation with a lipopolysaccharide (LPS) representing a pro-inflammatory signal. The NF-κB factor is present at cytoplasmic level: in the presence of a pro-inflammatory signal recognised by the cell, it undergoes translocation into the cell nucleus where it activates the expression of genes involved in inflammatory processes. In red, GFAP (Glial fibrillary acidic protein) + cells; in green, phosphorylated NF-κB factor; in blue, DAPI. Green and blue nuclei show translocation. <bold>
<italic>B: </italic>
                            </bold>Demonstration of cell proliferation. In red, Ki67 marker showing the nuclei of cells in the proliferative phase; in green, IBA1 marker highlighting microglial cells (resident macrophages of the nervous system).</p>
                    </caption>
                    <graphic mimetype="image" ns1:type="simple" ns1:href="image3.jpg"/>
                </fig>
                <p/>
                <p/>
                <p>One of the limitations of conventional two-dimensional cultures is that they cannot be maintained for long. Classically, primary cells organised in monolayers are rarely grown for more than a month. This makes it difficult to assess medium- and long-term effects. In addition, 2D structuring is very limited and the protective effects of barriers such as the BBB cannot be taken into account in this situation. Another limitation is that although it is possible to obtain several cell types from a 2D stem cell culture, they don't have the same structure as the organ <italic>in vivo</italic>. Certain cell types are not present and interactions between certain cells are not possible. The development of <italic>in vitro</italic> techniques, the use of synthetic extra-cellular matrices and the growing knowledge of induction systems have gradually led to the development of culture systems enabling the production of three-dimensional cell structures, similar to "<italic>in vitro</italic> micro-organisms<italic>"</italic> called organoids. These models, which are trickier to set up than conventional 2D cultures, narrow the gap between 2D cell cultures and "complete" animal models (<xref ref-type="bibr" rid="ref41">Hess <italic>et al.</italic>, 2010</xref>). In 2021, a study highlighted the major differences between 2D and 3D cultures (table 1, <xref ref-type="bibr" rid="ref35">Habanjar <italic>et al.</italic>, 2021</xref>). </p>
                <p/>
                <p>
                    <table-wrap position="float" orientation="portait">
                        <label>Table</label>
                        <caption>
                            <title>Table 1. Comparison table between 2D and 3D crop models (<xref ref-type="bibr" rid="ref35">Habanjar <italic>et al.</italic>, 2021</xref>).</title>
                        </caption>
                        <alternatives>
                            <table style="table table-bordered table-striped affichage-tableau">
<col width="33%"/>
<col width="33%"/>
<col width="33%"/>
<col width="33%"/>
<col width="33%"/>
<col width="33%"/>
<col width="33%"/>
<thead>
    <tr>
        <th xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xs="http://www.w3.org/2001/XMLSchema" xsi:type="xs:string">titre du tableau </th>
    </tr>
</thead>
<tr>
    <th>
        <bold>Features</bold>
    </th>
    <th>
        <bold>2D</bold>
    </th>
    <th>
        <bold>3D</bold>
    </th>
</tr>
<tr>
    <th>
        <bold>Interactions <break/>and communication</bold>
    </th>
    <th>Cell - cell (co-culture)</th>
    <th>Cell - cell <break/>Cell - extracellular matrix</th>
</tr>
<tr>
    <th>
        <bold>Cellular forms</bold>
    </th>
    <th>Flat, stretchable </th>
    <th>The natural structure is preserved</th>
</tr>
<tr>
    <th>
        <bold>Interface</bold>
    </th>
    <th>Homogeneous exposure of all<break/>cells to the culture medium</th>
    <th>Heterogeneous exposure: the top layer<break/>more exposed than the lower <break/>lower layers of cells</th>
</tr>
<tr>
    <th>
        <bold>Cellular differentiation</bold>
    </th>
    <th>Moderately/poorly <break/>differentiated</th>
    <th>Differentiated</th>
</tr>
<tr>
    <th>
        <bold>Cell proliferation</bold>
    </th>
    <th>Proliferation rate higher<break/>than physiological reality</th>
    <th>The rate of proliferation depends on<break/>on the cell type and the<break/>3D technique used</th>
</tr>
<tr>
    <th>
        <bold>Sensitivity to treatments</bold>
    </th>
    <th>High</th>
    <th>Moderate</th>
</tr>
<tr>
    <th>
        <bold>Cost</bold>
    </th>
    <th>Less</th>
    <th>High</th>
</tr>
                            </table>
                        </alternatives>
                        <table-wrap-foot>
                            <fn>
<p/>
                            </fn>
                        </table-wrap-foot>
                    </table-wrap>
                </p>
            </sec>
            <sec id="2.3.-Use-of-stem-cells-for-3D-cultures">
                <title>2.3. Use of stem cells for 3D cultures</title>
                <sec id="a.-Organoids">
                    <title>a. Organoids</title>
                    <p/>
                    <p>While <italic>in vitro</italic> 2D approaches using stem cells have many advantages, the production of 3D organoids offers even more. On the one hand, they are physiologically closer to the <italic>in vivo</italic> reality: inter-cell interactions are equivalent, and on the other hand, because they can be maintained in culture over time, organoids enable longitudinal monitoring. Organoids are self-organising and self-renewing three-dimensional cellular structures that mimic organs in structure and function. Therefore, in most current studies (<xref ref-type="bibr" rid="ref52">Lancaster and Knoblich, 2014</xref>; <xref ref-type="bibr" rid="ref70">Rossi <italic>et al.</italic>, 2018</xref>), in order to define 'organoids' it is necessary to find these self-renewing and self-organising features of multicellular structures containing multiple organ-specific cells in a similar way to that observed <italic>in vivo.</italic> Depending on the culture medium and the associated growth factors, different types of organoids can be created (<xref ref-type="bibr" rid="ref72">Scalise <italic>et al.</italic>, 2021</xref>).</p>
                    <p/>
                    <p>Organoids can be generated from adult stem cells (<xref ref-type="bibr" rid="ref71">Sato <italic>et al.</italic>, 2009</xref>), embryonic stem cells (<xref ref-type="bibr" rid="ref39">Hasegawa <italic>et al.</italic>, 2016</xref>), or induced pluripotent stem cells (iPSCs). These iPSCs are generated by 'reprogramming' differentiated somatic cells (e.g. skin fibroblasts) to regain their pluripotency (<xref ref-type="bibr" rid="ref76">Takahashi and Yamanaka, 2006</xref>). Although the term 'organoid' has been used in literature for decades for any 3D structure in culture, there is now a more precise definition. In the case of NSCs, the use of neurospheres (brain organoids) makes it possible to study all the cell types of the central nervous system (CNS), such as the different subtypes of neurons, and also glial cells, namely oligodendrocytes and astrocytes (Figure 4). </p>
                    <p/>
                    <p/>
                    <p/>
                    <p>
                        <fig>
                            <label>Table</label>
                            <caption>
<title>Figure 4. Phase contrast photograph of a neurosphere, a cerebral organoid, obtained from an NSC culture. This is a three-dimensional grouping of stem cells that will lead to the differentiation of different cerebral cell types, resulting in a cerebral organoid.</title>
<p/>
                            </caption>
                            <graphic mimetype="image" ns1:type="simple" ns1:href="image4.jpg"/>
                        </fig>
                    </p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 4. Phase contrast photograph of a neurosphere, a cerebral organoid, obtained from an NSC culture. This is a three-dimensional grouping of stem cells that will lead to the differentiation of different cerebral cell types, resulting in a cerebral organoid.</title>
                            <p/>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image4.jpg"/>
                    </fig>
                    <p/>
                    <p/>
                    <p>Developmental neurotoxicity (DNT) induced by environmental pollutants is a risk to be considered for human health. Until now, most DNT tests have been carried out on animals. As well as being difficult to extrapolate to humans, these <italic>in vivo</italic> tests are time-consuming, expensive, and use a large number of animals. In order to study the basic processes of brain development, neurospheres are used to study cell proliferation, differentiation, apoptosis, and cell migration (<xref ref-type="bibr" rid="ref30">Fritsche <italic>et al.</italic>, 2011</xref>). This culture model can also be used to study the migration of immature neurons, the neuroblasts, which migrate during adult neurogenesis (Figure 5). </p>
                    <p/>
                    <p/>
                    <p>
                        <fig>
                            <label>Table</label>
                            <caption>
<title>Figure 5: Detection of neuroblasts in neurospheres. Immunocytology using neurospheres deposited on a Matrigel® matrix. </title>
<p/>
                            </caption>
                            <graphic mimetype="image" ns1:type="simple" ns1:href="image5.jpg"/>
                        </fig>
                    </p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 5: Detection of neuroblasts in neurospheres. Immunocytology using neurospheres deposited on a Matrigel® matrix. </title>
                            <p/>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image5.jpg"/>
                    </fig>
                    <p/>
                    <p/>
                    <p>The widespread and increasing implementation of organoid-based technologies in human biomedical research testifies to their enormous potential in basic, translational and applied research. Similarly, there appear to be many potential research applications for organoids derived from livestock and companion animals (<xref ref-type="bibr" rid="ref57">Lee <italic>et al.</italic>, 2021</xref>). In addition, organoids, like <italic>in vitro</italic> models, offer a great opportunity to reduce the use of laboratory animals. The development of <italic>in vitro</italic> organoid culture systems has transformed biomedical research, as they provide a reproducible cell culture system that represents a simplified version of an organ. As the majority of infectious agents enter the body or reside on mucosal surfaces, organoids derived from mucosal sites such as the gastrointestinal, respiratory, and urogenital tracts have the potential to transform research into host-pathogen interactions. They enable detailed studies of early infection processes that are difficult to address using animal models.</p>
                </sec>
                <sec id="b.-Organoids-and-their-many-applications">
                    <title>b. Organoids and their many applications</title>
                    <p/>
                    <p>A recent study demonstrated the feasibility of generating organoids from bovine ileum tissue, with the derived organoids expressing genes associated with intestinal epithelial cell types (<xref ref-type="bibr" rid="ref38">Hamilton <italic>et al.</italic>, 2018</xref>).  In this current study, we aim to explore ways of reducing and replacing the use of animals in experiments in line with the 3Rs principle. Organoids are therefore a promising new <italic>in vitro</italic> tool for animal and veterinary research. For example, the development of sheep gastric and intestinal organoids has enabled the study of host-pathogen interactions in ruminants. The first published observations of a helminth infecting gastric and intestinal organoids in competition with the sheep parasitic nematode <italic>Teladorsagia circumcincta</italic> illustrate the usefulness of these organoids for pathogen co-culture experiments (<xref ref-type="bibr" rid="ref73">Smith <italic>et al.</italic>, 2021</xref>). Finally, the polarity of abomasal and ileal organoids can be reversed to make the apical surface directly accessible to pathogens or their products, as shown by the infection of apical organoids by the zoonotic bacterium <italic>Salmonella enterica serovar Typhimurium</italic> (<xref ref-type="bibr" rid="ref28">Forbester <italic>et al.</italic>, 2015</xref>). This <italic>in vitro</italic> culture system is both simple and reliable for the generation and maintenance of small ruminant intestinal and gastric organoids.</p>
                    <p/>
                    <p>In addition, it has been shown that organoids can be cryopreserved (<xref ref-type="bibr" rid="ref59">Lu <italic>et al.</italic>, 2017</xref>), and cultures can be restored from cryopreserved stocks, retaining similar functionality to the original tissue. This allows long-term storage of organoid lines, reducing the number of animals needed as a tissue source (<xref ref-type="bibr" rid="ref68">Puschmann <italic>et al.</italic>, 2017</xref>). Organoid cultures can generally be maintained for very long periods (months or even more than a year), as has been demonstrated for organoids derived, for example, from the intestine, stomach, liver and pancreas, as well as for organoids derived from iPSCs (<xref ref-type="bibr" rid="ref6">Barker <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="ref13">Buske <italic>et al.</italic>, 2012</xref>; <xref ref-type="bibr" rid="ref12">Broutier <italic>et al.</italic>, 2016</xref>).  </p>
                    <p/>
                    <p>Organoid cultures can remain true to their tissue of origin and be able to recapitulate disease pathology when cultured with tissue from clinical patients (<xref ref-type="bibr" rid="ref31">Gao <italic>et al.</italic>, 2014</xref>). They are also compliant with genetic manipulation (<xref ref-type="bibr" rid="ref62">Miyoshi and Stappenbeck, 2013</xref>), live imaging, gene expression analysis, sequencing, and epigenetic analysis, as well as other standard biological assays. Organoids, unlike cell lines, contain multiple cell types, but the tissue topology and cell-cell interactions strongly resemble key organ or tissue features <italic>in vivo</italic> (<xref ref-type="bibr" rid="ref33">Gjorevski <italic>et al.</italic>, 2014</xref>), unlike cell lines. Indeed, cell lines are generally derived from tumours and therefore easily display chromosomal aberrations and mutations (<xref ref-type="bibr" rid="ref50">Kasai <italic>et al.</italic>, 2016</xref>). These changes affect growth, metabolism, and physiology and are known to evolve during their <italic>in vitro</italic> subculturing, creating reproducibility issues (<xref ref-type="bibr" rid="ref7">Ben-David <italic>et al.</italic>, 2018</xref>).  Organoids also have an advantage over tissue explants or primary cell cultures, both of which undergo senescence, cell death, and necrosis after relatively short periods of time, resulting in poor reproducibility and accuracy of biological experiments. As organoids can be derived from cells or tissues from different organisms, they can be used to test species- or individual-specific drug responses (<xref ref-type="bibr" rid="ref66">Pasch <italic>et al.</italic>, 2019</xref>). For farm animals, animal-specific organoids can therefore be used for <italic>in vitro</italic> phenotyping of parameters of interest (<xref ref-type="bibr" rid="ref16">Clark <italic>et al.</italic>, 2020</xref>).</p>
                </sec>
            </sec>
        </sec>
        <sec id="3.-Example-of-the-study-of-the-effects-of-pesticides-on-brain-cells">
            <title>3. Example of the study of the effects of pesticides on brain cells</title>
            <p/>
            <p>In the laboratory, stem cells used as an <italic>in vitro</italic> model of toxicity were isolated from the subventricular ventricular zone (V-SVZ). These studies studies investigated the potential deleterious effects of a herbicide, ammonium glufosinate (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>), as well as an environmental toxin, β-N-methylamino-L-alanine (BMAA) (<xref ref-type="bibr" rid="ref61">Méresse <italic>et al.</italic>, 2022</xref>). </p>
            <sec id="3.1.-Cerebral-stem-cells-derived-from-the-subventricular-ventricular-zone">
                <title>3.1. Cerebral stem cells derived from the subventricular ventricular zone</title>
                <p/>
                <p>The subventricular ventricular zone (V-SVZ) is located at the edge of the cerebral ventricles and is composed of multipotent neural stem cells (B1-type cells) that can differentiate into different cell types such as astrocytes, oligodendrocytes, ependymal cells (E-type cells), and transit amplifying neural progenitor cells (C-type cells) (<xref ref-type="bibr" rid="ref22">Doetsch <italic>et al.</italic>, 1997</xref>; <xref ref-type="bibr" rid="ref60">Menn <italic>et al.</italic>, 2006</xref>; <xref ref-type="bibr" rid="ref64">Ortega <italic>et al.</italic>, 2013</xref>). C-type cells can in turn give rise to neuroblasts (A-type cells) that migrate over a long distance into the olfactory bulb via the rostral migratory stream (<xref ref-type="bibr" rid="ref3">Alvarez-Buylla and Lim, 2004</xref>). This particular organisation enables a neurogenic microenvironment to be maintained throughout life. In addition, the V-SVZ appears to be a potential target site for pesticides because some V-SVZ cells are in direct contact with cerebrospinal fluid (CSF). CSF fills the cerebral ventricles and can contain potentially dangerous exogenous molecules. Thus, a disruption can result in impairments of the neurogenic functions of the V-SVZ in the neurogenic functions of the V-SVZ, and potentially lead to neurodevelopmental disorders such as hydrocephalus (<xref ref-type="bibr" rid="ref46">Jiménez <italic>et al.</italic>, 2014</xref>). Disturbances within the V-SVZ, such as abnormal proliferation and differentiation, have been observed previously following exposure to pollutants (<xref ref-type="bibr" rid="ref29">Franco <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="ref65">Paradells <italic>et al.</italic>, 2015</xref>), and are suspected of playing a role in various tumorigenic cancers (<xref ref-type="bibr" rid="ref32">Gilbertson and Rich, 2007</xref>; <xref ref-type="bibr" rid="ref81">Zong <italic>et al.</italic>, 2015</xref>).</p>
                <p/>
                <p>Our recent studies carried out in the laboratory on several types of models have investigated the potential effects of pesticides on the development of the nervous system following perinatal exposure. Pesticides have always been used at low concentrations, with chosen doses below the NOAEL (<italic>Non Observed Adverse Effect Level</italic>) threshold.</p>
            </sec>
            <sec id="3.2.-Results-with-our-in-vivo-model">
                <title>3.2. Results with our in vivo model</title>
                <p/>
                <p>The results obtained with our <italic>in vivo</italic> model of perinatal exposure in mice have shown that the herbicide glufosinate ammonium induces not only an alteration in sensory-motor behaviour in the post-natal period, but also a long-term behavioural alteration in animals that have become adults, without re-exposure (<xref ref-type="bibr" rid="ref53">Laugeray <italic>et al.</italic>, 2014</xref>; <xref ref-type="bibr" rid="ref40">Herzine <italic>et al.</italic>, 2016</xref>). In this <italic>in vivo</italic> model, we observed a disruption to cell proliferation and morphology in the subventricular ventricular zone (SVZ), the main neurogenic niche located in the walls of the lateral ventricles of the brain (<xref ref-type="bibr" rid="ref40">Herzine <italic>et al.</italic>, 2016</xref>). We therefore hypothesised that developmental exposure to glufosinate could lead to neurodevelopmental disorders <italic>via</italic> disruption of neurogenesis.</p>
                <p/>
                <p>In addition, we used transcriptomic analysis of the brains of animals exposed during the perinatal period, to reveal a strong disruption to the expression of a set of genes potentially involved in the development of the neurogenic environment (<xref ref-type="bibr" rid="ref40">Herzine <italic>et al.</italic>, 2016</xref>). At brain level, histological analyses have shown a disruption to neuroblast migration, and molecular analyses have shown a change in the expression of genes involved in cytoskeleton homeostasis. Interestingly, when studying the cytoskeletal genes affected, it was observed that subunit 1 of the tubulin polyglutamylase complex (TPGS1) involved in the polyglutamylation mechanism was deregulated (<xref ref-type="bibr" rid="ref40">Herzine <italic>et al.</italic>, 2016</xref>). This indicates that perinatal exposure to ammonium glufosinate alters TPGS1 expression and is therefore likely to affect the cytoskeleton by disrupting polyglutamylation. Polyglutamylation (PolyE) is a post-translational modification (PTM) corresponding to the addition or removal of glutamate on the C-terminal tail regions of tubulin to form polyglutamate side chains (Edde <italic>et al.</italic>, 1990; <xref ref-type="bibr" rid="ref10">Bobinnec <italic>et al.</italic>, 1999</xref>). PolyE is a rapid and reversible mechanism occurring on the tubulin of neurons and plays an important role in cell morphology, proliferation, and differentiation. It also plays a very important role in the structuring of cell cilia, for example in ependymocytes (<xref ref-type="bibr" rid="ref43">Janke <italic>et al.</italic>, 2008</xref>). These cells ensure the circulation of cerebrospinal fluid thanks to their ciliary beating. We therefore suspected a deleterious effect of ammonium glufosinate on ependymocyte cilia. </p>
            </sec>
            <sec id="3.3.-Results-with-our-2D-in-vitro-model">
                <title>3.3. Results with our 2D in vitro model</title>
                <p/>
                <p>To study the effect of ammonium glufosinate, we used a 2D NSC culture model. By using specific growth factors, it is possible to either maintain these cells in an undifferentiated state, or induce their differentiation, in particular into ependymocytes (<xref ref-type="bibr" rid="ref34">Guirao <italic>et al.</italic>, 2010</xref>; <xref ref-type="bibr" rid="ref74">Spassky <italic>et al.</italic>, 2005</xref>). This <italic>in vitro</italic> model enabled us to demonstrate the interaction of this herbicide with the cytoskeleton involved in the formation of cilia, which are characteristic of these epithelial cells found in the cerebral ventricles. In this case, we did not obtain a modification of their differentiation, but an alteration in the formation of multiciliated tufts, going as far as their disappearance (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>). Furthermore, <italic>by</italic> using a supplemented culture medium (N2 supplement), which leads to differentiation into cells typical of SVZ cell populations (i.e. neuroblasts, astrocytes, oligodendrocyte precursors), we were able to show a disturbance in cell differentiation and thus prove that exposure to this compound altered the proportions of the different cell types (<xref ref-type="bibr" rid="ref27">Feat-Vetel <italic>et al.</italic>, 2018</xref>). In another study, in which we analysed the effects of an environmental cyanotoxin, this stem cell model enabled us, among other things, to show its genotoxic and oxidative stress effects at low doses for the first time (<xref ref-type="bibr" rid="ref55">Laugeray <italic>et al.</italic>, 2018</xref>).</p>
            </sec>
            <sec id="3.4.-Example-of-the-use-of-neurospheres-to-study-the-impact-of-environmental-pollutants">
                <title>3.4. Example of the use of neurospheres to study the impact of environmental pollutants</title>
                <p/>
                <p>Within the neurosphere model, we can obtain all the neuronal (<italic>i.e. </italic>neurons) and glial (<italic>i.e. </italic>ependymocytes, astrocytes and oligodendrocytes) cell populations. As part of a study to analyse the effects of a mixture of environmental pollutants (called MIX in the figures), we used <italic>in vitro </italic>NSC cultures to create this neurosphere culture model. Our study focused on the induction of neurotoxic and/or neuroinflammatory processes by this MIX. Using flow cytometry studies, we were able to identify that this MIX was likely to disrupt populations of immunocompetent CNS cells, namely astrocytes and microglia. Treatment with MIX actually reduces the astrocyte population and induces an increase in the microglial cell population (Figure 6). </p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 6. Quantification of cell population by flow cytometry. </title>
                            <p>Quantification of the astrocytic population on the left, and the microglial population (resident macrophages of the nervous system) on the right (ACSA2 cell labelling<sup>+</sup> and CD11B /CD45<sup>highLow /Medium </sup>respectively).</p>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image6.jpg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 6. Quantification of cell population by flow cytometry. </title>
                        <p>Quantification of the astrocytic population on the left, and the microglial population (resident macrophages of the nervous system) on the right (ACSA2 cell labelling<sup>+</sup> and CD11B /CD45<sup>highLow /Medium </sup>respectively).</p>
                    </caption>
                    <graphic mimetype="image" ns1:type="simple" ns1:href="image6.jpg"/>
                </fig>
                <p/>
                <p/>
                <p>This culture model allowed us to study each cell type present in brain structures. Interestingly, within neurospheres, cell maturation follows the stages normally found in the nervous system. The best example is microglial cells. During their maturation, these cells express a specific marker ("<italic>transmembrane protein 119</italic>", TMEM119). In mice, this marker is produced in these cells around day 10 after birth (<xref ref-type="bibr" rid="ref8">Bennett <italic>et al.</italic>, 2016</xref>). This marker is never expressed in 2D microglial cultures, even when co-cultured, because the cells seem to retain a juvenile phenotype. On the contrary, after some time in culture, the microglial cells present in neurospheres express TMEM119, reflecting their ability to differentiate when using this <italic>in vitro</italic> method. </p>
                <p/>
                <p>There is therefore every reason to believe that our model is well suited to tackling the neuroinflammatory problems associated with potential exposure. The neurospheres contain the microglial cells involved in this neuroinflammation, and have a maturation characteristic of the developing nervous system. Using these organoids treated with a cocktail of environmental pollutants, we were able to measure changes in the production of pro-inflammatory cytokines, determine the activation status of microglial cells using flow cytometry studies, and study changes in cell populations in these neurospheres. Within these models, we also measured the expression of genes involved in neuroinflammation, and found that exposure to a cocktail of pollutants reduced the expression of IL-6 and the transcript factors NF-κB and STAT3, indicating a potential modulation of the inflammatory response by these pollutants present in a mixture (Figure 7). In this way, it has become possible not only to study the neuroinflammatory reactions induced by exposure to toxic substances <italic>in vitro</italic>, but also to monitor the 'resolution' of inflammation (i.e. cellular resilience) over time, by<italic/>measuring cytokine levels in the culture medium. </p>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 7. RT-qPCR measurement of gene expression of inflammation markers following exposure to a mixture of pollutants (MIX). </title>
                            <p/>
                        </caption>
                        <graphic mimetype="image" ns1:type="simple" ns1:href="image7.jpg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 7. RT-qPCR measurement of gene expression of inflammation markers following exposure to a mixture of pollutants (MIX). </title>
                        <p/>
                    </caption>
                    <graphic mimetype="image" ns1:type="simple" ns1:href="image7.jpg"/>
                </fig>
                <p/>
                <p/>
                <p>Worryingly, a number of bacterial and viral infections during the gestational period are at the origin of neuroinflammatory phenomena, and are associated, among others, with an increased risk of neurodegeneration. One of the limitations of cerebral organoids is that it remains difficult to achieve earlier systemic pre-exposure to another pro-inflammatory agent, as can be done <italic>in vivo </italic>(exposure during gestation to a bacterial agent, followed by exposure to pollutants after birth).</p>
            </sec>
        </sec>
        <sec id="Conclusion">
            <title>Conclusion</title>
            <p/>
            <p>In human biomedical research, organoids have many potential applications as <italic>in vitro</italic> research models, including toxicology, developmental processes, congenital diseases, infectious diseases (<xref ref-type="bibr" rid="ref14">Castellanos-Gonzalez <italic>et al.</italic>, 2013</xref>), cancer (<xref ref-type="bibr" rid="ref25">Drost and Clevers, 2018</xref>), and regenerative medicine (<xref ref-type="bibr" rid="ref63">Nakamura and Sato, 2018</xref>). In addition, organoids are becoming better defined and can be used to obtain phenotypic information on the underlying cellular and molecular aspects. </p>
            <p/>
            <p>Organoids can be of great use in farm animal and veterinary research. Their use can lead to a better understanding of animal physiology, animal nutrition and host-microbe interaction, and can contribute to the <italic>in vitro </italic>phenotyping of breeding animals.  Despite this, more research is needed. There are still relatively few studies on organoids in the fields of veterinary research and animal production. To date, there are no three-dimensional <italic>in vitro </italic>models for certain species. When they do exist, most of the organoids that are set up are intestinal only. </p>
            <p/>
            <p>Compared with other <italic>in vitro </italic>models, organoids reproduce a better tissue structure and function. Compared with intact organs, they are highly simplified models, which is an advantage for studies aimed at identifying specific mechanisms, but also confers clear limitations on the model. As a result, animal experiments still seem essential for preclinical screening in the drug discovery process. These requirements are confronted with the need for ethical considerations, and the problem of differences between species. This is why the use of organoid models based on cells of human origin is being actively pursued.  </p>
            <p/>
            <p>These 3D models cannot be applied to all studies, and do not reflect the interactions between organs. As a result, it remains difficult to accurately predict the efficacy of drugs and their potential toxicity. One avenue that could be explored is the <italic>body-on-chip </italic>technique. This is a network of miniature <italic>in vitro </italic>organs that work together to mimic body systems. These models can use human cells, giving them greater precision than traditional animal models while increasing the possibility of personalised medicine, where cells could be derived from a patient’s own stem cells. While the use of organoids is a good alternative to the use of <italic>in vivo </italic>models, these <italic>in vitro </italic>systems on chips could bridge the gap between animal studies and clinical trials for the pharmaceutical industry.</p>
        </sec>
        <sec id="Acknowledgements">
            <title>Acknowledgements</title>
            <p/>
            <p>This article was first translated with www.DeepL.com/Translator and the authors thank Mrs Fourcin Deki for English language editing.</p>
        </sec>
    </body>
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