Skip to main content

MINI REVIEW article

Front. Mol. Neurosci., 02 May 2024
Sec. Brain Disease Mechanisms
This article is part of the Research Topic Neurobiological underpinnings of neurodegenerative and neuropsychiatric disorders: from models to therapy View all 9 articles

Need of orthogonal approaches in neurological disease modeling in mouse

  • 1Neuroepigenetics Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
  • 2“Vita e Salute” San Raffaele University, Milan, Italy

Over the years, advancements in modeling neurological diseases have revealed innovative strategies aimed at gaining deeper insights and developing more effective treatments for these complex conditions. However, these progresses have recently been overshadowed by an increasing number of failures in clinical trials, raising doubts about the reliability and translatability of this type of disease modeling. This mini-review does not aim to provide a comprehensive overview of the current state-of-the-art in disease mouse modeling. Instead, it offers a brief excursus over some recent approaches in modeling neurological diseases to pinpoint a few intriguing strategies applied in the field that may serve as sources of inspiration for improving currently available animal models. In particular, we aim to guide the reader toward the potential success of adopting a more orthogonal approach in the study of human diseases.

Introduction

All cells within a complex multicellular organism retain the same genetic information. The regulation of gene expression is the crucial mechanism to interpret and utilize such information and create the overarching diversity of cell types composing those organisms. The interplay of various intrinsic and extrinsic factors influences gene expression. They can induce either expression or silencing at specific time points, ultimately dictating cellular identity, morphology, and function (Savulescu et al., 2020) both during embryonic development and throughout subsequent adult life (Pope and Medzhitov, 2018).

In the central nervous system (CNS), neuronal development unfolds over a series of intricate processes encompassing proliferation, migration, differentiation, synaptogenesis, and pruning, to ensure the formation of functional neuronal connectivity. These biological events are subjected to a tight regulation by specific genetic programs, which operate following precise spatiotemporally-defined fashions (Subramanian et al., 2020). Even subtle alterations to these programs can disrupt the proper assembly and maturation of neuronal circuits, thereby triggering neurological pathology (Griffin et al., 2022).

As a result, decoding the functions of a gene of interest, or its pathological variants, in relevant biological landscapes represents a major challenge. To this endeavor appropriate experimental genetic tools, capable of providing a commensurate level of complexity in terms of controlled gene expression, are fundamental. Employing various scales of investigation, such as cell-type or age-specific approaches, can yield valuable insights into previously unknown gene functions and their roles in disease development or progression. Understanding the intricacies of these genetic programs and how they are disrupted in disease states is essential for uncovering the underlying mechanisms of neurological disorders and devising effective therapeutic interventions.

Lost in “translation”: challenges of animal disease modeling

A spectrum of technologies, spanning from conventional to more advanced in vitro and in vivo systems, alongside computational modeling, has been explored in the pursuit of elucidating the molecular underpinnings of finely orchestrated processes, all with the overarching goal of reliably recapitulating human diseases (Paşca et al., 2014; Birey et al., 2017; Jönsson et al., 2020; Pomeshchik et al., 2020; Susaimanickam et al., 2022; Li et al., 2023; Meng et al., 2023). In this direction, across many years, mouse models emerged as the cardinal tool for investigating disease mechanisms, progression and potential therapeutic strategies (Lunev et al., 2022).

Nonetheless, despite the advantages and versatility of animal models, their translational utility has faced increasing scrutiny in recent years. One of the main concerns arises from the failure of several clinical trials, despite the promising results obtained from preclinical studies conducted in, mainly, murine models (Bespalov et al., 2016; Seyhan, 2019; Marshall et al., 2023).

Several factors contribute to the translational gap between preclinical animal studies and clinical trials including species differences, model fidelity and disease heterogeneity. For instance, while animal models may recapitulate certain aspects of human diseases, they often fail to fully replicate the complexity of human physiology, and therefore pathology. In addition, heterogeneity should be taken into considerations. In the first place, many human diseases are themselves characterized by significant heterogeneity in terms of etiology, pathophysiology and clinical presentation as exemplified by incomplete penetrance and variable expressivity (Kingdom and Wright, 2022). So it is clear that such heterogeneity can hardly be modeled by a unique disease model. Moreover, genetic (e.g., mouse genetic backgrounds) and environmental factors (e.g., experimental conditions) also may impact on the fidelity of the model (Robinson et al., 2019; Georgiou et al., 2022).

Despite these inherent limitations, animal models have proven to be invaluable tools over the years. Thus, it's crucial to acknowledge and eventually minimize these constraints while exploring approaches to instead maximize the potential of the models. Creating a unique, informative, and robust model for a disease is often hardly feasible. Instead, applying an orthogonal approach, e.g., based on the integration of independent methodologies or model systems to address the same biological topic, may result a more illuminating strategy. The current trend in the animal modeling field is indeed evolving toward a “network” approach, in which multiple types of models are employed, and further experiments are redesigned based on evidence gained from the other models (Pasko et al., 2023). This integrated manner provides complementary insights and validation of findings, enhancing the understanding of complex processes and disease mechanisms, thus facilitating the translation of research findings into clinical applications.

Often the investigation of the pathological consequences of disease-causing gene variants begins with modeling the extreme conditions: either total deletion or overexpression of the gene of interest. Alternatively, since in many complex genetic diseases, there exists a well-established inverse relationship between disease-causing genetic variants and the severity of the corresponding phenotype, researchers often exploit these rarer variants with large effect sizes as a practical starting point for delving into the investigation of the disease's neurobiology to delineate the causal pathways (Amanat et al., 2020; Gordon and Binder, 2023). On this line, constitutive genetically engineered mouse models represent the standard condition to approach the study of the effects of genetic mutations. In fact, they generally provide a broad overview of the disease and its most severe manifestations (Dow, 2015). However, they may fail to represent ideal platform for dissecting relevant phenotypes in depth, especially in the context of neurodevelopmental and neurodegenerative disorders.

These models frequently exhibit such severe manifestations that may obscure the underlying subtle events contributing to pathology. One exemplificative case is the embryonic lethality or reduced survival of genetically modified animals, which make challenging to study the effects of these mutations in mature organs up to adult organisms. Additionally, the intricate and dynamic processes at the basis of neurological disorders may only become evident at specific levels of analysis (e.g., certain developmental stages, cell populations, higher-order brain processes, network connectivity, etc.) (Gordon and Binder, 2023) or may only manifest when different pathological insults or risk factors converge, as suggested by dual-hit hypotheses (Zhu et al., 2007; Rietdijk et al., 2017; Guerrin et al., 2021).

Similarly in the neurodegenerative disorders' scenario, the experimental design of the most commonly used models was indeed to recapitulate the hallmarks of the disease (e.g., cell death, protein aggregation, inflammation etc.), often exacerbating them (e.g., acute induction at extraordinary high levels), to make immediately accessible the study of the desired phenotype. However, these models do not respect the gradual development of the pathology, corresponding symptomatology and, likely, associated underlined biological processes. For this same reason, conventional models, since do not allow for ad hoc modulation of gene expression at specific stages, do not represent the ideal platform for studying adult-onset neurodegenerative disorders as well, where precise temporal control over the expression of disease-associated genes should be pursued to align with the natural time course of the disease.

To contextualize our premises, let's frame our discussion with a hypothetical neurological condition X arising from the accumulation, and subsequent aggregation, of a mutated protein X. While the exact mechanisms are yet unknown, this buildup is believed to disrupt the function of either excitatory or inhibitory neurons. This results in an altered balance between excitation and inhibition, ultimately leading to cognitive and motor deficits.

For an initial investigation, protein accumulation is experimentally mimicked by the generation of constitutive transgenic mouse model overexpressing the gene X (Figure 1A). Unfortunately, the new line is characterized by a high mortality rate, making the study of the pathological underpinnings hardly feasible. This outcome opens up the necessity of exploring an alternative strategy to model the condition.

Figure 1
www.frontiersin.org

Figure 1. Schematic representation of an illustrative orthogonal approach applied on the investigation of a fictitious X disease. (A) Generation of a transgenic mouse model to induce constitutive gene X overexpression. (B) Generation of a conditional Cre-dependent knock-in mouse line harboring an additional copy of the gene X under the control of a floxed STOP cassette for on demand induction of pathological protein accumulation. (C) Generation of a conditional model overexpressing gene X in the entire CNS, including the spinal cord. (D, E) Generation of a conditional model overexpressing gene X in excitatory (D) and inhibitory neurons (E) to explore their contribution to the pathological phenotype. (F) Generation a conditional model overexpressing gene X in excitatory neurons upon Tamoxifen (tam) induction, at three postnatal timepoints, to explore their temporal susceptibility to the pathological insult. (G) Generation of a tet-inducible reverse transactivator (rtTA)-dependent conditional model. Initial administration of Doxycycline (Dox) induces protein X accumulation, while following Dox withdrawal restores protein levels to mimic various dynamics of therapeutic interventions.

To holistically understand the etiopathogenesis of a disease, both the cellular origin and the precise timing of its pathogenesis are to be carefully considered. In the framework of neurological disorders, this means identifying the critical time window when the CNS becomes vulnerable the most to the pathogenic insult, either protein loss or accumulation, and where this happens. Instead, in a therapeutical perspective, to determine the “point of no return,” so when the organ is no longer able to recover from that challenge.

Exploring space and time: novel insights from animal models

While constitutive models are useful for generating experimental conditions with readily observable phenotypes, thus serving as starting point of investigation, conditional genetic engineering may provide higher level of information.

Conditional knock-out or knock-in models, used for an alternative but targeted explorative approach, have revolutionized our ability to ask specific biological questions with greater precision and control. In this framework, the Cre/loxP recombination system represents the cornerstone of conditional genetic manipulation in mice, including gene deletion, insertion, inversion, or translocation. Applied for the first time in vivo by Rajewsky and Marth in 1994, this “simple” yet powerful tool soon became indispensable for interrogating the genetic and molecular basis of diseases (Gu et al., 1994; Rajewsky et al., 1996; Heldt and Ressler, 2011).

The system facilitates the controlled insertion of desired genetic modifications by exploiting two key components: the strategical incorporation of loxP sequence recognition sites to flank (“floxed”) a DNA sequence (e.g., gene of interest, STOP cassette) and the regulated expression of Cre recombinase under the control of a specific promoter. Therefore, the adaptable nature of the Cre/loxP system provides the sought flexibility in experimental design, making it invaluable for uncovering several information.

To overcome the limitation of the previous constitutive model, a novel conditional allele been generated to modulate ad hoc gene X expression and the consequential protein accumulation. The novel line carries an additional gene X copy preceded by a floxed STOP cassette (Figure 1B). Given the CNS-related phenotype, the disease has been mimicked crossing the new line with the Nestin-Cre, active in neural progenitors (Figure 1C). The resulting mutant recapitulates disease-associated neurological phenotypes, including cognitive (e.g., anxiety, memory) and motor deficits (e.g., balance, coordination).

This approach was nicely exemplified by Li J. et al. (2022) who employed various Cre lines to investigate AUTS2's functions, a gene implicated in autism spectrum disorders (ASDs), within the brain. Since a constitutive knock-out model resulted in embryonic lethality, the authors generated Auts2 floxed mice subsequently crossed with different Cre lines to conditionally disrupt Aust2 at distinct developmental stages and in specific forebrain regions. For instance, using Cre lines with region-specific expression patterns enabled them to discern Auts2's role in different phases of dentate gyrus (DG) specification. This temporally-dictated analysis was fundamental to confirm Auts2 function for DG development only at early postnatal stage, highlighting its critical involvement as transcription repressor in a previously unknown mechanism for neural cell migration. To specifically analyze the gene's function during the postnatal phase, they also took advantage of viral tools for delivering the Cre recombinase. This approach not only offered additional spatial control, through local injections, but also provided temporal control, via the timing of injection. This strategy proved advantageous in avoiding potential compensatory mechanisms triggered by gene knockdown throughout development.

To further deepen the pathological basis of disease X, the Emx1-Cre and the Dlx5/6-Cre have been employed to induce accumulation in either excitatory or inhibitory neurons respectively (Figures 1D, E). Notably, only the excitatory-restricted mutants present few of the neurological phenotypes.

The injection of virally-delivered Cre, using replication-deficient adeno-associated (AAV) or lentiviral (LV) vectors, serves as a potent tool for controlling the expression of the gene of interest (Heldt and Ressler, 2011; Lunev et al., 2022). This approach increases the flexibility of the Cre/loxP system to adapt to various experimental needs, including the exploration of gross structural changes, as well as consequential interrogation of functional aspects, such as neuronal circuit activity, in greater detail (Hui et al., 2022). In a recent study by Yonan and Steward (2023), to examine the deletion of Pten in fully mature neurons, a gene implicated in ASDs in humans, an AAV-delivered Cre has been unilaterally injected in the Pten floxed model. Specifically, the viral particles have been introduced directly into the DG to induce a focal deletion, while maintaining Pten expression in the cells of origin of the input circuits. This strategy is noteworthy because, unlike constitutive models, it allows for investigation of the direct primary effects of the gene, without interferences resulting from gene suppression in other connected regions. This approach revealed how Pten suppression at the level of the DG triggers synapse formation, independently of PTEN activity in the presynaptic cells.

Viral delivery is an excellent option for achieving focal expression, or deletion, of a gene of interest, precisely in space and time. In adult animals, viruses can be delivered through various methods, such as tail vein injections for systemic delivery, intrathecal or stereotaxic injections for a more localized delivery. On the other hand, for perinatal expression, intracerebroventricular or retro-orbital injections may be employed. Nevertheless, each of these surgical procedures requires a different level of technical expertise.

Over the years, various advancements of the original recombination system have emerged to achieve even finer spatiotemporal comprehension (Shcholok and Eftekharpour, 2023). These include the tamoxifen-inducible Cre-ERT2 system (Belteki et al., 2005; Heldt and Ressler, 2011; Hui et al., 2022; Kellogg et al., 2023), photoactivatable Cre recombinases (Yoshimi et al., 2021; Li et al., 2022), Cre/Dre dual recombinase systems (Kouvaros et al., 2023) and split Cre systems (Khoo et al., 2020; Kim et al., 2021), among others. Some of these configurations are of extreme help to easily explore the time and the space, inducing the pathological insult within cell types at various embryonic and postnatal timepoints with high specificity.

One effective method involves the tamoxifen-inducible Cre-ERT2 system coupled with the plethora of promoters available today to regulate its induction (Hayashi and McMahon, 2002; Shcholok and Eftekharpour, 2023). In this system, the Cre recombinase is fused to a modified estrogen receptor ligand-binding domain (ERT2) that responds to tamoxifen, a synthetic estrogen analog. Once expressed in the cell, this Cre-recombinase variant remains in the cytoplasm without exerting any activity till the administration of the drug, that triggers the translocation of the Cre into the nucleus to perform its activity.

Sonzogni et al. (2019) leveraged the flexibility offered by this inducible system in the context of Angelman syndrome (AS), a severe neurodevelopmental disorder, to investigate the role of UBE3A, a ubiquitin ligase amply implicated in brain development and maturation. Since previous studies predominantly focused on UBE3A critical functions in early brain development, the researchers aimed to understand its role after normal brain development. To address this issue, they generated a conditional mouse model which was crossed with either a constitutive Cre line to induce Ube3a embryonic deletion, establishing a baseline for behavioral phenotypes, or the CreERT2 to trigger protein loss on demand, e.g., after early brain development and later in adulthood. This system proved crucial in confirming UBE3A's role in normal brain development, specifically its role in shaping neuronal connectivity (e.g., synapse development) and its subsequent involvement in motor coordination and cognitive functions (Greer et al., 2010; Khatri and Man, 2019). This further delineates embryonic and early postnatal stages as the critical window of vulnerability of the brain to UBE3A protein loss. Notably, these findings also suggest that early, transient UBE3A reinstatement is likely to prevent most adverse phenotypes, underscoring the importance of initiating gene reactivation therapies early in life.

To define the critical window of vulnerability of excitatory neurons in X disease, a CaMKIIa-ERT2-Cre is employed to induce protein X accumulation at differential timepoints (Figure 1F): at birth (P0), juvenile (3 weeks of age) and adult mice (14 weeks). This longitudinal approach allows to identify early postnatal stage as the most susceptible to damages ensuing protein accumulation.

This chemically-inducible system can be utilized also to generate improved animal models, e.g., for studying disease stages that were previously inaccessible. A study in the context of Multiple System Atrophy (MSA), an adult-onset synucleinopathy characterized by the presence of cytoplasmic inclusions in oligodendrocytes, represents a nice example. Given the adult-onset nature of the disease, to induce α-synuclein (Syn) expression only in adulthood, Tanji et al. generated a novel floxed Syn knock-in mouse line, which was subsequently crossed with a Cre-ERT2 driver line under the control of an oligodendrocyte-restricted promoter (Tanji et al., 2019). This enabled the generation for the first time of a model to investigate the effects of Syn expression on MSA pathophysiology specifically during the initial stages of disease progression, avoiding any latent disturbance or compensatory effect due to sustained promoter activity during the developmental stages. Given the significance of early treatment in slowing MSA progression, this model offers the unique opportunity to enhance understanding of the events driving initial disease progression and to develop novel therapeutics for MSA.

While inducible systems, like virally-delivered or chemically-inducible Cre-dependent ones, offer valuable insights into subtle pathogenic mechanisms, their acute induction represents an artificial deviation from the natural time course of the disease. However, if carefully designed, conditional knockout or knock-in models offer an exclusive platform that can be smartly utilized to systematically address many of the biological questions arising when investigating a pathological condition. This allows researchers to select the desired level of complexity, such as specific cellular populations, brain regions, or temporal stages, in a more controlled and physiologically relevant manner. Therefore, while conditional models may not fully recapitulate the complexity of human diseases, they offer unique advantages for investigating in depth fine pathogenic mechanisms with a level of precision that is often not unattainable with constitutive models.

Unveiling reversibility: flipping the paradigm

By providing precise spatial and temporal control over the disruption or overexpression of a gene, Cre-based systems are invaluable tools for addressing specific biological questions. Nonetheless, a primary constraint lies in the irreversibility of the recombination once Cre activation, whether constitutive or inducible, triggers it. The capability to first induce and subsequently halt the pathological challenge, thus emulating a potential treatment, yields insights into two critical facets: the reversibility of disease symptoms and the temporal necessities for therapeutic intervention.

For such reversible temporal regulation of gene expression, the Tetracycline (Tet)-inducible binary system could be considered. The Tet-On and Tet-Off systems allow to switch gene expression on or off respectively, in response to the presence or absence of tetracycline analogs (e.g., doxycycline). This system requires the combination of two components in trans: the tet-inducible transactivator (tTA) or reverse transactivator (rtTA), artificial transcription factors under the control of a tissue-specific promoter, and a modified tet-responsive element, which is activated upon binding of the tTA/rtTA (Dogbevia et al., 2015). Therefore, this system can easily achieve a spatiotemporal regulation similar to the one of the Cre/loxP system, implementing reversibility as an additional layer of control (Belteki et al., 2005).

Although tTA-dependent alleles corresponding to various proteinopathies already exist, one of the significant limitations of current mouse models for neurodegenerative diseases, is their failure to properly mimic the disorder's time course (Koller et al., 2022). For example, in Alzheimer's disease models, clinical signs often manifest earlier than in the corresponding human pathology, implying a need to delay the formation of the pathological amyloid plaques. Additionally, the limited availability of CNS-targeting tTA driver lines poses a challenge for regional or cell-type-specific studies. To address these limitations, Koller and colleagues proposed using a Cre-to-tTA converter allele to yield Cre-dependent expression of an existing Tet-regulated transgene (Koller et al., 2022). This system allows to draw from the extensive repertoire of Cre driver lines for precise spatial control, including spatiotemporal control when considering Cre-ERT2 drivers. This novel model was able to delay amyloid formation adapting it to the natural disease progression, while also restricting this process in specific cell types. This innovative combinatorial approach could be applied to other diseases, neurodegenerative or otherwise, for which tTA-dependent models already exist, maximizing the utility and versatility of these powerful systems.

Combination of both systems, the Cre/loxP with the Tet-O, can be exploited to further enhance control over transgene induction. An example was recently done by Li J. et al. The authors aimed to delineate the temporal requirements for TorsinA in normal motor function in a mouse model of DYT1 dystonia, a neurodevelopmental disease induced by a loss-of-function mutation in the corresponding TOR1A gene (Li et al., 2021). Previous studies focused on conditionally deleting TorsinA from various regions of the CNS, thus revealing the existence of a critical period of vulnerability of the brain to TorsinA loss (Tanabe et al., 2012). To describe this existing temporal interval, a mouse line enabling spatiotemporal control over the endogenous Tor1a gene was developed by inserting at the 5′ of the Tor1a start site a cassette containing a floxed STOP element followed by a tetracycline operator (Tet-O) in a Tet-On-like configuration to confer both Cre and tetracycline responsivity. The Cre system was used to restrict the defect in various brain regions to assess their temporal sensitivity to lack of TorsinA function, while the Tet system was employed to mimic a therapeutic restoration. Using this setting, the authors restored protein levels using three different temporal dynamics to simulate possible schedules of therapeutic intervention. This innovative approach allowed the delineation of a two-stage model for the disease: primary causative events directly related to TorsinA loss and therefore reverted by its restoration (stage 1) and the irreversible downstream molecular or circuit changes independent of TorsinA function (stage 2). Although not strictly physiological, this disease model has provided insights into pathogenic dynamics, with significant implications for the design and timing of effective therapeutic strategies.

The concept of implementing genetic reversibility in disease-mouse models is crucial for determining the possibility and extent of symptom reversion. This concept was pioneered by Guy et al. (2007), in the context of Rett syndrome, an ASD caused by mosaic expression of mutant copies of the X-linked MECP2 gene in neurons. To understand whether the postnatal restoration of MeCP2 levels could reestablish the neuronal functionality, the scientists inserted a removable floxed STOP cassette in the endogenous mouse gene. The CreERT2 transgene was also present to control the reactivation of the gene using tamoxifen injection. This model demonstrated, for the first time, robust reversal of Rett pathology upon Mecp2 restoration in both immature and mature adult animals, paving the way of the importance of implementing reversibility in the field of animal disease modeling.

As a postsynaptic scaffold protein, SHANK3 regulates synapse formation, function, and plasticity, hence its disruption in disease states results in synaptic defects and autistic-like behaviors. In the perspective of a restorative gene therapy, since increased levels of SHANK3 are connected to other neurological conditions (e.g., bipolar disorder) as well, Mei et al. (2016) proposed a novel conditional knock-in mouse model to investigate the temporal requirement of Shank3 gene. In their work, they employed a Cre-dependent genetic switch (FLEx) strategy that allows Shank3 expression upon its Cre-mediated inversion, to conditionally manipulate the endogenous gene (Schnütgen et al., 2003). By utilizing this reversible model, they highlighted an improvement in synaptic function upon impact of Shank3 re-expression. However, only a few behavioral abnormalities were rescued, thus supporting the developmental origin of the autistic-like impairments due to SHANK3 haploinsufficiency.

A reversible approach was similarly pursued by Mielnik et al. (2021) to explore the outcomes of counteracting N-methyl-D-aspartate (NMDA) receptor deficiency in the adult brain. Impaired NMDAR signaling has been coupled with various neurodevelopmental disorders over the years, leading to conditions such as intellectual disability, epilepsy, autism or schizophrenia. To assess the beneficial effects of a restorative treatment, they developed a mouse model where the loss-of-function allele of Grin1, the gene encoding for an NMDAR subunit, was induced via the insertion of a floxed STOP and thus restored to physiological levels upon Cre recombination. Rescued adult mice displayed robust improvements in cognitive functions, providing insights into the effectiveness of restoring NMDAR activity in adulthood.

Analogously in the context of Dravet syndrome, a severe epileptic encephalopathy primarily caused by haploinsufficiency of the SCN1A gene, Valassina et al. recently proposed a conditional knock-in mouse model enabling on-demand Scn1a reactivation, via a floxed STOP cassette removal. The authors successfully assessed the reversibility of the epileptic phenotype after disease onset (Valassina et al., 2022). Using this model, the same group recently investigated the effects of reactivating gene expression both perinatally and postnatally to define the critical window of vulnerability of the CNS to Scn1a loss, a crucial knowledge for future therapeutic interventions (Di Berardino et al., 2023).

To demonstrate the reversibility of X disease, a Tet-On system has been employed to firstly induce and later suppress gene X overexpression to evaluate the effects of the reduction of protein levels (Figure 1G). Interestingly, while protein reduction at a late stage (14 weeks) was not able to revert the reported phenotypes, the recovery in juvenile mice (3 weeks) ameliorated both motor and cognitive impairments. Gathered together this data suggests for an early postnatal disease-modifying therapy.

These approaches, as demonstrated in an increasingly number of neurological diseases, underscore the feasibility of therapeutically targeting their genetic root causes. However, not all diseases share this fortune, as demonstrated by Silva-Santos et al. in the context of Angelman syndrome (Silva-Santos et al., 2015). A conditional reversible mouse line, via the insertion of a floxed STOP cassette within Ube3a intron 3, has revealed the scarce efficacy of reactivating Ube3a in adult organisms, hence confirming the necessity of functional UBE3A at developmental stage.

Discussion

Refining experimental models is essential for obtaining reliable results. Addressing significant biological questions, such as disease pathogenesis, is complex and, in our opinion must require confronting them from multiple perspectives. Tackle smaller aspects at a time, dividing this challenging endeavor, may return more complete answers for the questions the scientific community has. The use of conditional mouse lines harboring the gene of interest, and the different activating tools we have discussed, represent a major avenue to achieve this goal.

The precise spatiotemporal control afforded by these inducible systems enables investigation into the dynamic nature of biological mechanisms or pathological processes (e.g., primary events, compensatory mechanisms etc.) and disease progression over time. Leveraging these advanced genetic engineering tools facilitates the design of refined and physiologically relevant experimental conditions for studying neurodevelopmental and neurodegenerative disorders. This integrative “network” approach allows to uncover novel disease mechanisms and identify potential therapeutic targets that may not be apparent in more “classical” constitutive germline models.

On this line, reversibility is also intriguing and holds promise in addressing some of the limitations and challenges associated with preclinical research. For instance, it provides a framework for evaluating the extent of therapeutic interventions' effectiveness more comprehensively. This resolution is particularly valuable for understanding the trajectory of disease development to optimize treatment. However, it's compulsory to acknowledge that implementing reversibility as a control in animal models may present practical challenges and require careful experimental design. Factors such as the timing and duration of interventions, choice of animal models and selection of appropriate outcome measures must be correctly pondered to ensure the validity and relevance of the findings.

Overall, these advanced technologies have enabled more precise and nuanced investigations, overcoming many limitations associated with traditional animal models and therefore achieving greater fidelity to human biology and pathology. Integrating multiple layers of control in preclinical research holds the potential to enhance the translational significance of experimental findings and accelerate the development of effective therapies for human diseases.

The orthogonal approach applied to the fictitious X disease works as scholar example of a successful “network” strategy able to overcome the limitations of the commonly used models and investigatory approaches. The implementation of different systems enables to address the same biological question from three different perspectives: space, time and reversibility. It allows to firstly define the temporal susceptibility of excitatory neurons to protein X accumulation, opening to the prospect of a therapeutic intervention aiming at decreasing protein levels early after birth.

Continued advancements in technology and interdisciplinary collaborations will be essential in unlocking the full potential of these approaches and addressing the intricate complexities of biological mechanisms at the basis of human diseases.

Author contributions

LB: Conceptualization, Writing – original draft, Writing – review & editing. AS: Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Fondazione Regionale per la Ricerca Biomedica (Regione Lombardia), European Joint Program on Rare Disease Project TREAT-SGS (EJPRD20-008).

Acknowledgments

We apologize to those researchers whose work could not be cited owing to space constraints.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Amanat, S., Requena, T., and Lopez-Escamez, J. A. (2020). A systematic review of extreme phenotype strategies to search for rare variants in genetic studies of complex disorders. Genes 11, 1–15. doi: 10.3390/genes11090987

PubMed Abstract | Crossref Full Text | Google Scholar

Belteki, G., Haigh, J., Kabacs, N., Haigh, K., Sison, K., Costantini, F., et al. (2005). Conditional and inducible transgene expression in mice through the combinatorial use of Cre-mediated recombination and tetracycline induction. Nucleic Acids Res. 33, 1–10. doi: 10.1093/nar/gki559

PubMed Abstract | Crossref Full Text | Google Scholar

Bespalov, A., Steckler, T., Altevogt, B., Koustova, E., Skolnick, P., Deaver, D., et al. (2016). Failed trials for central nervous system disorders do not necessarily invalidate preclinical models and drug targets. Nat. Rev. Drug Discov. 15:516. doi: 10.1038/nrd.2016.88

PubMed Abstract | Crossref Full Text | Google Scholar

Birey, F., Andersen, J., Makinson, C. D., Islam, S., Wei, W., Huber, N., et al. (2017). Assembly of functionally integrated human forebrain spheroids. Nature 545, 54–59. doi: 10.1038/nature22330

PubMed Abstract | Crossref Full Text | Google Scholar

Di Berardino, C., Mainardi, M., Brusco, S., Benvenuto, G., and Colasante, E. (2023). Temporal manipulation of the Scn1a gene reveals its 1 essential role in adult brain function 2. Brain 147, 1216–1230. doi: 10.1093/brain/awad350

PubMed Abstract | Crossref Full Text | Google Scholar

Dogbevia, G. K., Marticorena-Alvarez, R., Bausen, M., Sprengel, R., and Hasan, M. T. (2015). Inducible and combinatorial gene manipulation in mouse brain. Front. Cell Neurosci. 9:142. doi: 10.3389/fncel.2015.00142

PubMed Abstract | Crossref Full Text | Google Scholar

Dow, L. E. (2015). Modeling disease in vivo with CRISPR/Cas9. Trends Mol. Med. 21, 609–621. doi: 10.1016/j.molmed.2015.07.006

PubMed Abstract | Crossref Full Text | Google Scholar

Georgiou, P., Zanos, P., Mou, T. C. M., An, X., Gerhard, D. M., Dryanovski, D. I., et al. (2022). Experimenters' sex modulates mouse behaviors and neural responses to ketamine via corticotropin releasing factor. Nat. Neurosci. 25, 1191–1200. doi: 10.1038/s41593-022-01146-x

PubMed Abstract | Crossref Full Text | Google Scholar

Gordon, J. A., and Binder, E. (2023). Exploring and Exploiting Genetic Risk for psychiaTric Disorders. Cambridge, MA: The MIT Press. doi: 10.7551/mitpress/15380.001.0001

Crossref Full Text | Google Scholar

Greer, P. L., Hanayama, R., Bloodgood, B. L., Mardinly, A. R., Lipton, D. M., Flavell, S. W., et al. (2010). The Angelman syndrome protein Ube3A regulates synapse development by ubiquitinating arc. Cell 140, 704–716. doi: 10.1016/j.cell.2010.01.026

PubMed Abstract | Crossref Full Text | Google Scholar

Griffin, A., Mahesh, A., and Tiwari, V. K. (2022). Disruption of the gene regulatory programme in neurodevelopmental disorders. Biochim. Biophys. Acta Gene Regul. Mech. 1865:194860. doi: 10.1016/j.bbagrm.2022.194860

PubMed Abstract | Crossref Full Text | Google Scholar

Gu, H., Marth, J. D., Orban, P. C., Mossmann, H., and Rajewsky, K. (1994). Deletion of a DNA polymerase β gene segment in T cells using cell type-specific gene targeting. Science 265, 103–106. doi: 10.1126/science.8016642

PubMed Abstract | Crossref Full Text | Google Scholar

Guerrin, C. G. J., Doorduin, J., Sommer, I. E., and de Vries, E. F. J. (2021). The dual hit hypothesis of schizophrenia: evidence from animal models. Neurosci. Biobehav. Rev. 131, 1150–1168. doi: 10.1016/j.neubiorev.2021.10.025

PubMed Abstract | Crossref Full Text | Google Scholar

Guy, J., Gan, J., Selfridge, J., Cobb, S., and Bird, A. (2007). Reversal of neurological defects in a mouse model of rett syndrome. Science 315, 1143–1147. doi: 10.1126/science.1138389

PubMed Abstract | Crossref Full Text | Google Scholar

Hayashi, S., and McMahon, A. P. (2002). Efficient recombination in diverse tissues by a tamoxifen-inducible form of Cre: a tool for temporally regulated gene activation/inactivation in the mouse. Dev. Biol. 244, 305–318. doi: 10.1006/dbio.2002.0597

PubMed Abstract | Crossref Full Text | Google Scholar

Heldt, S. A., and Ressler, K. J. (2011). The use of lentiviral vectors and Cre/loxP to investigate the function of genes in complex behaviors. Front. Mol. Neurosci. 2:22. doi: 10.3389/neuro.02.022.2009

PubMed Abstract | Crossref Full Text | Google Scholar

Hui, Y., Zheng, X., Zhang, H., Li, F., Yu, G., Li, J., et al. (2022). Strategies for targeting neural circuits: how to manipulate neurons using virus vehicles. Front. Neural. Circuits 16:882366. doi: 10.3389/fncir.2022.882366

PubMed Abstract | Crossref Full Text | Google Scholar

Jönsson, M. E., Garza, R., Johansson, P. A., and Jakobsson, J. (2020). Transposable elements: a common feature of neurodevelopmental and neurodegenerative disorders. Trends Genet. 36, 610–623. doi: 10.1016/j.tig.2020.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

Kellogg, C. M., Pham, K., Ko, S., Cox, J. E. J., Machalinski, A. H., Stout, M. B., et al. (2023). Specificity and efficiency of tamoxifen-mediated Cre induction is equivalent regardless of age. IScience 26:108413. doi: 10.1016/j.isci.2023.108413

PubMed Abstract | Crossref Full Text | Google Scholar

Khatri, N., and Man, H. Y. (2019). The autism and Angelman syndrome protein Ube3A/E6AP: the gene, E3 ligase ubiquitination targets and neurobiological functions. Front. Mol. Neurosci. 12:109. doi: 10.3389/fnmol.2019.00109

PubMed Abstract | Crossref Full Text | Google Scholar

Khoo, A. T. T., Kim, P. J., Kim, H. M., and Je, H. S. (2020). Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system. Mol. Brain 13:101. doi: 10.1186/s13041-020-00640-2

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, J. S., Kolesnikov, M., Peled-Hajaj, S., Scheyltjens, I., Xia, Y., Trzebanski, S., et al. (2021). A binary cre transgenic approach dissects microglia and CNS border-associated macrophages. Immunity 54, 176–190.e7. doi: 10.1016/j.immuni.2020.11.007

PubMed Abstract | Crossref Full Text | Google Scholar

Kingdom, R., and Wright, C. F. (2022). Incomplete penetrance and variable expressivity: from clinical studies to population cohorts. Front. Genet. 13:920390. doi: 10.3389/fgene.2022.920390

PubMed Abstract | Crossref Full Text | Google Scholar

Koller, E. J., Comstock, M., Bean, J. C., Escobedo, G., Park, K-. W., Jankowsky, J. L., et al. (2022). Temporal and spatially-controlled APP transgene expression using Cre-dependent alleles. Dis. Model Mech. 15:dmm049330. doi: 10.1242/dmm.049330

PubMed Abstract | Crossref Full Text | Google Scholar

Kouvaros, S., Bizup, B., Solis, O., Kumar, M., Ventriglia, E., Curry, F. P., et al. (2023). A CRE/DRE dual recombinase transgenic mouse reveals synaptic zinc-mediated thalamocortical neuromodulation. Sci Adv. 9:eadf3525. doi: 10.1126/sciadv.adf3525

PubMed Abstract | Crossref Full Text | Google Scholar

Li, C., Fleck, J. S., Martins-Costa, C., Burkard, T. R., Themann, J., Stuempflen, M., et al. (2023). Single-cell brain organoid screening identifies developmental defects in autism. Nature 621, 373–380. doi: 10.1038/s41586-023-06473-y

PubMed Abstract | Crossref Full Text | Google Scholar

Li, H., Wu, Y., Qiu, Y., Li, X., Guan, Y., Cao, X., et al. (2022). Stable transgenic mouse strain with enhanced photoactivatable cre recombinase for spatiotemporal genome manipulation. Adv. Sci. 9:e2201352. doi: 10.1002/advs.202201352

PubMed Abstract | Crossref Full Text | Google Scholar

Li, J., Levin, D. S., Kim, A. J., Pappas, S. S., and Dauer, W. T. (2021). TorsinA restoration in a mouse model identifies a critical therapeutic window for DYT1 dystonia. J. Clin. Invest. 131:e139606. doi: 10.1172/JCI139606

PubMed Abstract | Crossref Full Text | Google Scholar

Li, J., Sun, X., You, Y., Li, Q., Wei, C., Zhao, L., et al. (2022). Auts2 deletion involves in DG hypoplasia and social recognition deficit: the developmental and neural circuit mechanisms. Sci. Adv 8:eabk1238. doi: 10.1126/sciadv.abk1238

PubMed Abstract | Crossref Full Text | Google Scholar

Lunev, E., Karan, A., Egorova, T., and Bardina, M. (2022). Adeno-associated viruses for modeling neurological diseases in animals: achievements and prospects. Biomedicines 10:1140. doi: 10.3390/biomedicines10051140

PubMed Abstract | Crossref Full Text | Google Scholar

Marshall, L. J., Bailey, J., Cassotta, M., Herrmann, K., and Pistollato, F. (2023). Poor translatability of biomedical research using animals — a narrative review. Altern. Lab. Anim. 51, 102–135. doi: 10.1177/02611929231157756

PubMed Abstract | Crossref Full Text | Google Scholar

Mei, Y., Monteiro, P., Zhou, Y., Kim, J. A., Gao, X., Fu, Z., et al. (2016). Adult restoration of Shank3 expression rescues selective autistic-like phenotypes. Nature 530, 481–484. doi: 10.1038/nature16971

PubMed Abstract | Crossref Full Text | Google Scholar

Meng, X., Yao, D., Imaizumi, K., Chen, X., Kelley, K. W., Reis, N., et al. (2023). Assembloid CRISPR screens reveal impact of disease genes in human neurodevelopment. Nature 622, 359–366. doi: 10.1038/s41586-023-06564-w

PubMed Abstract | Crossref Full Text | Google Scholar

Mielnik, C. A., Binko, M. A., Chen, Y., Funk, A. J., Johansson, E. M., Intson, K., et al. (2021). Consequences of NMDA receptor deficiency can be rescued in the adult brain. Mol. Psychiatry 26, 2929–2942. doi: 10.1038/s41380-020-00859-4

PubMed Abstract | Crossref Full Text | Google Scholar

Paşca, S. P., Panagiotakos, G., and Dolmetsch, R. E. (2014). Generating human neurons in vitro and using them to understand neuropsychiatric disease. Annu. Rev. Neurosci. 37, 479–501. doi: 10.1146/annurev-neuro-062012-170328

PubMed Abstract | Crossref Full Text | Google Scholar

Pasko, V. I., Churkina, A. S., Shakhov, A. S., Kotlobay, A. A., and Alieva, I. B. (2023). Modeling of neurodegenerative diseases: ‘step by step' and ‘network' organization of the complexes of model systems. Int. J. Mol. Sci. 24:604. doi: 10.3390/ijms24010604

PubMed Abstract | Crossref Full Text | Google Scholar

Pomeshchik, Y., Klementieva, O., Gil, J., Martinsson, I., Hansen, M. G., de Vries, T., et al. (2020). Human iPSC-derived hippocampal spheroids: an innovative tool for stratifying Alzheimer disease patient-specific cellular phenotypes and developing therapies. Stem Cell Rep. 15, 256–273. doi: 10.1016/j.stemcr.2020.06.001

PubMed Abstract | Crossref Full Text | Google Scholar

Pope, S. D., and Medzhitov, R. (2018). Emerging principles of gene expression programs and their regulation. Mol. Cell 71, 389–397. doi: 10.1016/j.molcel.2018.07.017

PubMed Abstract | Crossref Full Text | Google Scholar

Rajewsky, K., Gu, H., Kühn, R., Betz, U. A., Müller, W., Roes, J., et al. (1996). Conditional gene targeting. J. Clin. Invest. 98, 600–603. doi: 10.1172/JCI118828

PubMed Abstract | Crossref Full Text | Google Scholar

Rietdijk, C. D., Perez-Pardo, P., Garssen, J., van Wezel, R. J. A., and Kraneveld, A. D. (2017). Exploring Braak's hypothesis of Parkinson's disease. Front. Neurol. 8:37. doi: 10.3389/fneur.2017.00037

PubMed Abstract | Crossref Full Text | Google Scholar

Robinson, N. B., Krieger, K., Khan, F., Huffman, W., Chang, M., Naik, A., et al. (2019). The current state of animal models in research: a review. Int. J. Surg. 72, 9–13. doi: 10.1016/j.ijsu.2019.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

Savulescu, A. F., Jacobs, C., Negishi, Y., Davignon, L., and Mhlanga, M. M. (2020). Pinpointing cell identity in time and space. Front. Mol. Biosci. 7:209. doi: 10.3389/fmolb.2020.00209

PubMed Abstract | Crossref Full Text | Google Scholar

Schnütgen, F., Doerflinger, N., Calléja, C., Wendling, O., Chambon, P., Ghyselinck, N. B., et al. (2003). A directional strategy for monitoring Cre-mediated recombination at the cellular level in the mouse. Nat. Biotechnol. 21, 562–565. doi: 10.1038/nbt811

PubMed Abstract | Crossref Full Text | Google Scholar

Seyhan, A. (2019). “Lost in translation the challenges with the use of animal models in translational research,” in Handbook of Biomarkers and Precision Medicine, eds C. Carini, M. Fidock, and A. van Gool (Boca Raton, FL: Chapman and Hall/CRC), 36–43. doi: 10.31219/osf.io/kysdu

Crossref Full Text | Google Scholar

Shcholok, T., and Eftekharpour, E. (2023). Cre-recombinase systems for induction of neuron-specific knockout models: a guide for biomedical researchers. Neural Regen. Res. 18, 273–279. doi: 10.4103/1673-5374.346541

PubMed Abstract | Crossref Full Text | Google Scholar

Silva-Santos, S., Van Woerden, G. M., Bruinsma, C. F., Mientjes, E., Jolfaei, M. A., Distel, B., et al. (2015). Ube3a reinstatement identifies distinct developmental windows in a murine Angelman syndrome model. J. Clin. Invest. 125, 2069–2076. doi: 10.1172/JCI80554

PubMed Abstract | Crossref Full Text | Google Scholar

Sonzogni, M., Hakonen, J., Bernabé Kleijn, M., Silva-Santos, S., Judson, M. C., Philpot, B. D., et al. (2019). Delayed loss of UBE3A reduces the expression of Angelman syndrome-associated phenotypes. Mol. Autism 10:23. doi: 10.1186/s13229-019-0277-1

PubMed Abstract | Crossref Full Text | Google Scholar

Subramanian, L., Calcagnotto, M. E., and Paredes, M. F. (2020). Cortical malformations: lessons in human brain development. Front. Cell. Neurosci. 13. doi: 10.3389/fncel.2019.00576

PubMed Abstract | Crossref Full Text | Google Scholar

Susaimanickam, P. J., Kiral, F. R., and Park, I. H. (2022). Region specific brain organoids to study neurodevelopmental disorders. Int. J. Stem Cells 15, 26–40. doi: 10.15283/ijsc22006

PubMed Abstract | Crossref Full Text | Google Scholar

Tanabe, L. M., Martin, C., and Dauer, W. T. (2012). Genetic background modulates the phenotype of a mouse model of dyt1 dystonia. PLoS ONE 7:e0032245. doi: 10.1371/journal.pone.0032245

PubMed Abstract | Crossref Full Text | Google Scholar

Tanji, K., Miki, Y., Mori, F., Nikaido, Y., Narita, H., Kakita, A., et al. (2019). A mouse model of adult-onset multiple system atrophy. Neurobiol. Dis. 127, 339–349. doi: 10.1016/j.nbd.2019.03.020

PubMed Abstract | Crossref Full Text | Google Scholar

Valassina, N., Brusco, S., Salamone, A., Serra, L., Luoni, M., Giannelli, S., et al. (2022). Scn1a gene reactivation after symptom onset rescues pathological phenotypes in a mouse model of Dravet syndrome. Nat. Commun. 13:161. doi: 10.1038/s41467-021-27837-w

PubMed Abstract | Crossref Full Text | Google Scholar

Yonan, J. M., and Steward, O. (2023). Vector-mediated PTEN deletion in the adult dentate gyrus initiates new growth of granule cell bodies and dendrites and expansion of mossy fiber terminal fields that continues for months. Neurobiol. Dis. 184:106190. doi: 10.1016/j.nbd.2023.106190

PubMed Abstract | Crossref Full Text | Google Scholar

Yoshimi, K., Yamauchi, Y., Tanaka, T., Shimada, T., Sato, M., Mashimo, T., et al. (2021). Photoactivatable Cre knock-in mice for spatiotemporal control of genetic engineering in vivo. Lab. Invest. 101, 125–135. doi: 10.1038/s41374-020-00482-5

PubMed Abstract | Crossref Full Text | Google Scholar

Zhu, X., Lee, H.-G., Perry, G., and Smith, M. A. (2007). Alzheimer disease, the two-hit hypothesis: an update. Biochim. Biophys. Acta Mol. Basis Dis. 1772, 494–502. doi: 10.1016/j.bbadis.2006.10.014

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: mouse model, genetic engineering, neurodevelopmental disorders, neurodegenerative disorders, reversibility

Citation: Bossini L and Sessa A (2024) Need of orthogonal approaches in neurological disease modeling in mouse. Front. Mol. Neurosci. 17:1399953. doi: 10.3389/fnmol.2024.1399953

Received: 12 March 2024; Accepted: 22 April 2024;
Published: 02 May 2024.

Edited by:

Ferdinando Di Cunto, University of Turin, Italy

Reviewed by:

Ashwin S. Shetty, Harvard University, United States

Copyright © 2024 Bossini and Sessa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Alessandro Sessa, sessa.alessandro@hsr.it

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.