ISSN: 2455-5460

Archives of Depression and Anxiety

Review Article       Open Access      Peer-Reviewed

Models of Depression for Preclinical Drug Discovery and Development: A Transitional Perspective

Michel Bourin*

University of Nantes. 98 rue Joseph Blanchart 44100 Nantes, France

Author and article information

*Corresponding author: Michel Bourin, University of Nantes. 98 rue Joseph Blanchart 44100 Nantes, France, E-mail: [email protected]
Received: 28 August, 2025 | Accepted: 08 September, 2025 | Published: 09 September, 2025
Keywords: Anti-depressants; Depression animal models; Chronic mild stress; Forced swimming test; Learned helplessness model; Tail suspension test; Chronic corticosterone exposure model

Cite this as

Bourin M. Models of Depression for Preclinical Drug Discovery and Development: A Transitional Perspective. Arch Depress Anxiety. 2025;11(2):016-024. Available from: 10.17352/ada.000101

Copyright License

© 2025 Bourin M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Animal models of depression are most frequently encountered within the pharmaceutical industry to screen molecules and detect a putative antidepressant activity of a drug. The multiplicity of approaches and models makes comprehensive statements difficult, but animal models are necessary. These are experimental arrangements where a simple system is utilized to represent a complex system.

Five of the most utilized behavioral animal models of depression, the mouse Forced Swimming Test (FST), the rat FST, the Tail Suspension Test (TST), the Chronic Mild Stress (CMS) model, the Learned Helplessness (LH) paradigm, and the chronic corticosterone exposure model, are discussed in this review. All these models present various symptoms of depression in animals suggested to resemble specific aspects of human illness. Their use enables the investigation of the underlying neurobiology of depression, as well as the mechanism of action of antidepressants and the screening of potential antidepressants. Apparently, the mouse FST is the most suitable animal of depression in predicting antidepressant response as it is easily and rapidly performed, robust, specific for antidepressant drugs, and reproducible. Moreover, it permits a good correlation with clinical studies in a translational approach. In this goal, another model is presented: The chronic corticosterone exposure, a more complete neuroendocrine model that seems closer to the conditions of depression in humans. Hyperactivation of the hypothalamic-pituitary-adrenal axis (HPA axis) is one of the most described alterations in patients with depression, as well as in rodent models of pathology.

Introduction

Depression, with over 280 million individuals affected worldwide (World Health Organization), ranks among the leading causes of global disability [1]. Despite advances in pharmacological treatments, many patients fail to respond adequately to existing therapies, highlighting the need for innovative therapeutic approaches. The DSM-5's revised criteria for diagnosing major depressive episodes emphasize symptoms such as anhedonia, psychomotor disturbances, and changes in appetite and sleep [2,3]. These updates present new challenges for preclinical models, which must evolve to capture the complexity of clinical symptoms and facilitate the development of more effective treatments.

Depression is a heterogeneous entity, and the need to further characterize the individual patient to personalize the management plan has been repeatedly emphasized [4]. This adds extra complexity to modeling depression in animal models.

Animal models are an important topic of pre-clinical research on the neurobiology of psychiatric disorders, and help in screening putative drugs for treating the disorder, and permit a better comprehension of the mechanisms implicated. An animal model may be defined by a simple experimental simulation of more complex systems that are less immediately accessible to examine and are thus based on a reductionist compromise [5]. The ideal animal model would not only replicate the essential features of depression but also reliably predict antidepressant activity in a novel compound. This review aims to provide a comprehensive overview of the most utilized animal models of depression, emphasizing their relevance in preclinical research and their contributions to the development of innovative therapeutic strategies. By addressing their strengths and limitations, this work seeks to highlight their role in bridging basic science with clinical advances in the treatment of depression.

Criteria for evaluating the validity of animal models of depression

Numerous animal models have been developed to study the pathophysiological mechanisms of depression and test new therapeutic strategies. However, the complexity of this disorder makes its modeling difficult. Different criteria have been defined to estimate the validity of an animal model, particularly for the study of neuropsychiatric diseases. Currently, 3 criteria are used, which include face, etiological, and predictive validity [6].

− -Face validity: This criterion is achieved when strong symptomatologic similarities are observed between the animal model and human pathology. Dysfunctions can manifest themselves at the behavioral level or be of a biochemical or anatomical nature. Table 1 shows the correspondence of symptoms observed in rodent models with those observed in patients with depression.

− -Etiological validity or “construct validity”: This is the most complicated criterion to validate because it requires that the symptoms observed in the animal model be induced by neurobiological mechanisms similar to those involved in the patient, or that they result in similar psychological constructs. In the case of depression, the difficulty lies in the fact that the biological mechanisms of this pathology are not yet perfectly described. It is therefore difficult to take them all into account.

− -Predictive validity: This last criterion calls on the capacity of the model to respond to clinically effective treatments, and conversely, to demonstrate a lack of response to an ineffective treatment.

Ideally, a good animal model of human depression should fulfill, as much as possible, the criteria described above. To date, the available animal models do not achieve this objective due to the complexity of the disorder to be modeled [22]. Certain main symptoms, such as feelings of guilt or recurrent thoughts of death and suicide, are difficult, if not impossible, to assess in laboratory animals. Thus, most of the models used are validated by the beneficial action of antidepressants or by responses to stress. Considering that not all patients manifest the same symptoms, the necessity for an animal model of depression to present all the behavioral abnormalities linked to depression is questionable [23]. This part of the manuscript presents a non-exhaustive list of the main mouse models of depression described in the literature.

Main animal models of depression

In humans, stressful life events are closely associated with the onset of depressive episodes [24]. This is why most animal models of depression currently available are based on the administration of physical and/or psychosocial stress, either in the developmental period (perinatal/early) or adulthood. This gives rise to an anxiety-depressive type phenotype in animals (Table 2).

The connection between stress and depression is complex. The hypothesis suggesting that chronic stress can induce depression is questionable (yet it is the basis of most used models). According to this hypothesis, vulnerability to depression in humans could be compared to behavioral conditions induced by stress in animals. Sustained or chronic stress leads to elevated hormones such as cortisol, the "stress hormone," and reduced serotonin and other neurotransmitters in the brain, including dopamine, which has been linked to depression [31].

In fact, the clinical symptoms of depression in humans are more complex than those induced by stress, which is more in the field of anxiety. The rodent models of anxiety are more built on fear. Animal models based on the hypothesis that depression is induced by stress include the mouse/rat Forced Swimming Test (FST), the Tail Suspension Test (TST), the Chronic Mild Stress CMS and the Learned Helplessness model (LH). In these models, animals are exposed to uncontrollable stress resulting in maladaptive behaviors [32].

Numerous studies of animal models indicate that the shock required to produce depressive symptoms must be uncontrollable since exposure of animals to equal amounts of controllable shock will not produce depressive symptomatology.

The mouse forced swimming test

The mouse FST is one of the most widely used preclinical models for evaluating depression-related behaviors in rodents. This model was initially developed to study the efficacy of classic antidepressant drugs (tricyclic antidepressants) and later on has been used for the study of Selective Serotonin Reuptake Inhibitors (SSRIs) [33].

In this model, mice are individually placed into glass cylinders (height, 25 cm; diameter, 10 cm) containing 10 cm of water maintained at 23 °C to 25 °C and left there for 6 min. After vigorous activity, swimming attempts cease, and the animal adopts a characteristic immobile posture. The animal is judged to be immobile when it floats in an upright position and makes only minimal movements to keep its head above water. This state of immobility has been named "behavioral despair”, on the assumption that the animals have given up hope of escaping. Antidepressant drugs decrease the duration of immobility, which is recorded during the last 4 min of the 6-minute test period. FST is very useful for studying neurobiological mechanisms to better understand, through drug responses, what depression is in humans [34,35]. This behavioral test, far from the reality of depression clinical features, is a good translational approach [36].

FST is still a core behavioral model used to discover new drugs for treating depression. It was used to study Brain-Derived Neurotrophic Factor (BDNF), a potential antidepressant agent [37]. In this study, an infusion of BDNF was injected into the ventral tegmental area in mice. As a result, it induced a shorter latency to immobility compared to control animals [37]. Other researchers pointed out that they observed a significant decrease in immobility time compared to vehicle-infused controls after BDNF infusion when using FST [38]. FST has been used to study other potential mechanisms of action for antidepressants, such as K+ channel openers and K+ channel blockers [39-42].

FST is not only for screening antidepressant-like effects, but also for understanding the neurobiology of depression, particularly the function of monoamines. However, this model of depression is not only linked to monoamines. Electroconvulsive seizures, a traditional method of treating depression, were used on animals in FST [43] and were effective in increasing the swimming time.

FST can be used in genetically modified animals, which are useful for understanding the mechanisms of action of antidepressants using as well, specific ligands added to antidepressants [44-47].

In FST, behavioral despair does not correlate with the general mobility levels of the animal as measured in an open field test, and FST can reliably differentiate antidepressant treatments from other treatments that merely lead to increased mobility. It is therefore not a mere reflection of decreased physical energy or locomotion but indicates the level of psychomotor activity of the animal [48].

Among the limitations of the FST, we can mention its aversiveness. It is important to consider possible influences it might have on brain structure/function if brain analyses are to be carried out following this procedure [49].

On the other hand, immobility in the forced swim test is adaptive and does not reflect depression; the response should be considered for what it shows: a switch from active to passive behavior in the face of an acute stressor, aligned to cognitive functions underlying behavioral adaptation and survival [50]. (It seems there is debate about this point).

Here, I would expect a systematic analysis of validity criteria for this specific model (as mentioned in the previous comment about Table 2).

The Tail Suspension Test (TST)

The TST is based on the observation that a mouse suspended by the tail shows alternate periods of agitation and immobility, similar but not identical to that observed in the mouse FST [51]. So, it is almost the same paradigm as the FST. In the TST, immobility is induced in mice simply by suspending them, using adhesive Scotch tape, to a hook connected to a strain gauge that picks up all movements of the mouse and transmits them to a central unit, which calculates the total duration of immobility during a 6-minute test [51].

This test has been automated (ITEMATIC-TST) and measures duration of immobility and the energy expended by each animal, the power of the movements [52], which can distinguish different classes of psychotropic activity [52].

The TST procedure bypasses several problems of the swimming model: the immobility is objectively measured, and no hypothermia is induced by immersion in cold water. The mouse TST can predict antidepressant activity of numerous components [51,52].

It will be shown later in this chapter that the combination of both tests (TST and FST) can help in the discrimination of mechanisms of action of antidepressants when used for screening.

Among the limitations of this model, we can mention interstrain variability in response to antidepressant drugs. This phenomenon has been reported in the most utilized behavioral animal models of depression: the Tail Suspension Test (TST) and the Forced Swimming Test (FST). Previous studies have revealed that drug sensitivity depends on the strain and test used [35]. Swiss mice are the most sensitive strain to detect serotonin and/or noradrenaline antidepressants, whereas C57BL/6J was the only strain sensitive to bupropion (dopaminergic agent) using the FST. In the TST, all antidepressants studied decreased the immobility time in Swiss and C57BL/6J strains [53].

Detection of an antidepressant-like activity could be performed using only one test (TST with Swiss mice or FST with Swiss and C57Bl/6 Rj mice), but both tests are necessary to conclude on the mechanism of action. We make it possible with a decision tree [54].

Due to the aversiveness of the FST and TST, it is important to consider possible influences it might have on brain structure/function if brain analyses are to be carried out following this procedure [48].

No analysis of validity criteria is offered here for this model

Chronic Mild Stress (CMS)

Chronic sequential exposure to a variety of mild stressors (chronic mild stress) has been found to decrease the consumption of and/or preference for a palatable weak sucrose solution in rats or mice [55].

In the CMS, animals are exposed to various types of stressors that change over weeks or months. Among stressors used in this model, we can mention overnight illumination, cage tilt, and change of cage mate, resulting in a decrease in sucrose preference for several weeks. This reflects a general decrease in the sensitivity to rewards or anhedonia. Along with a state of anhedonia, various other behavioral changes due to depression are shown, persisting weeks after stimulus cessation [56].

The model has predictive validity since the reversal of pathologic behavior requires 3-4 weeks of treatment, as in human depression. This feature was not included in the previous models.) This model can demonstrate a potential early onset of antidepressant treatment. Since this test has the advantage of chronicity, it is more similar to the treatment of depression, which takes several weeks to be active. Increasingly, CMS has been used as a model of modified epigenetic mechanisms leading to accelerated senescence and impaired cognitive performance in mice [57].

Learned helplessness model

The LH model is the most familiar simulation of depression and the most controversial. The model mimics some of the key features of depression, particularly those precipitated by unfavorable environmental stress. The model, described by Seligman, et al. [58], consists of exposing animals to unavoidable and uncontrollable stressors such as electric foot-shock, after which learning deficits on subsequent tests are observed, where animals are found to be unable to learn to avoid an aversive Stimulus and remain motionless and helpless in such a situation [58].

This state has been named “learned helplessness' and is not found in animals exposed to identical but controllable stress. It has been shown that the persistent immobility of the animal to respond is confined to the learned immobility that has been required during the unavoidable shock situation. Thus, the learned helplessness behavior does not generalize to other types of behavior that have been learned in the absence of the shock [58].

Seligman and co-authors have suggested that animals learn that responding to uncontrollable shock is futile and that the cognitive and motivational deficits produced in this paradigm are parallel to human clinical depression. The helpless animal enters a learning situation with a generalized associative set in which its actions are without consequence. It therefore responds less, or not at all. In addition to an acquisition deficit, other features of the helpless animal parallel clinical dimensions of depression, deficits in motivation, and emotion. Changes in activity, food intake, and weight have also been reported [58].

There is no established learned helplessness protocol that includes the trans-situational feature for mice. In this model, helplessness did not correlate with immobility time or latency. Mice that underwent the LH procedure showed behavior in the tail suspension test similar to that of naive home cage controls [58].

Please, check the redaction, I am not sure I get the idea of some pieces (apparently, this is the limitation).

The chronic corticosterone exposure, a more complete neuroendocrine model [59]

A model is proposed here that seems closer to the conditions of depression in humans. Hyperactivation of the hypothalamic-pituitary-adrenal axis (HPA axis) is one of the most described alterations in patients with depression, as well as in rodent models of the pathology [60].

This depressive phenotype is frequently accompanied by disturbances in plasma corticosterone (CORT) levels in animals, considered an indicator of stress [60]. Corticosteroids are released following activation of the HPA axis in response to acute stress. Corticosteroids, and more particularly glucocorticoids, make it possible to develop a physiological response via the establishment of an inhibitory feedback, allowing the activity of the HPA axis to be returned to the basal state [61].

On the contrary, in pathological conditions of chronic exposure to a stressful event, large and continuous quantities of corticosterone are released due to the removal of this “inhibitory feedback,” which results in the desensitization of GR receptors to glucocorticoids. This hyperactivity of the HPA axis then leads to an uncontrolled release of stress hormones, leading to anatomo-functional alterations at the cerebral level [62].

Based on these observations, CORT is considered a biochemical marker of depression, but this hormone is mainly used as a pharmacological tool to induce anxiety-depressive type behaviors in animals, particularly in rodents [23]. Thus, a widely used mouse model of depression is based on repeated administration of CORT [63]. Different protocols may be used. The duration of exposure, dose, or route of administration of CORT may vary [64]. Administration of CORT can take place orally (in drinking water) [65], intraperitoneally [66], or using subcutaneous CORT pellet implants [67]. We must note that the model based on chronic exposure to CORT for 8 weeks in drinking water validates the criteria stated above and therefore appears to be a good model of pathology.

Face validity criterion

Concerning the face validity criterion, numerous measurable symptoms in rodents are found in this model, such as an increase in anxiety [68] and learning deficits [69] or even disturbances in sleep architecture [70]. Added to this is also weight gain associated with an increase in food and drink consumption. Anhedonia was also characterized in this model after 8 weeks of exposure [71]. These data suggest that the CORT exposure model has strong face validity. However, this model appears to exhibit a sex-dependent effect. Different doses of CORT were tested in drinking water (7, 35 and 70 μg/ml) in female C57BL6 mice; females were not affected by low or high doses of this hormone. On the contrary, at the optimal dose of 35 μg/ml, females show an attenuated emotional response compared to male mice [72].

Construct validity criterion

This criterion is also validated in the CORT model because it is based on the alteration of the HPA axis. Indeed, animals exposed to CORT display a dysregulation of HPA axis activity similar to that observed in patients with depression [73]. Furthermore, this model induces neurobiological alterations, also found in patients suffering from major depression, and which may be at the origin of the symptoms observed. For example, several studies highlight the impact of CORT on the activity of monoaminergic systems. Concerning the serotonergic system, it has been shown in rodents by intracerebral microdialysis that acute exposure to CORT induces an increase in extracellular concentrations of 5-HT in the ventral hippocampus [74], which would result from the increased expression of tryptophan hydroxylase, the enzyme that synthesizes 5-HT [75].

In terms of other monoaminergic systems, we note that chronic exposure (21 days) to CORT induces anxiety and anhedonia. These behaviors are associated with increased dopamine beta-hydroxylase (DBH), the enzyme responsible for converting dopamine (DA) to norepinephrine (NA) in the Locus coeruleus (LC) and increased expression of the norepinephrine transporter in the hippocampus, amygdala, and prefrontal cortex [76].

Another brain plasticity process strongly regulated by CORT is adult hippocampal neurogenesis. Indeed, chronic exposure to CORT reduces cell proliferation in the dentate gyrus of the hippocampus, and this effect is counteracted by antidepressants [77]. In addition, exposure to CORT via the subcutaneous route reduces the survival of new neurons [78], which remains unchanged when CORT is administered in drinking water. This reveals the importance of the route of administration of CORT on the neurogenic effects of CORT. Finally, CORT also acts on cell proliferation and the maturation of new hippocampal neurons. Indeed, the dendritic arborization of immature granule cells that survive in the DG of CORT-treated rats is less complex, while the dendritic complexity of mature granule cells remains unchanged [79].

Predictive validity criterion

The literature shows that many classes of antidepressants are effective in restoring behavioral deficits of the CORT model. For example, a 3-week chronic treatment with fluoxetine (18 mg/kg), a Selective Serotonin Reuptake Inhibitor (SSRI), can counteract the deleterious effects of CORT on anxiety, resignation, or carelessness. Other classes of antidepressants, notably tricyclics (TCAs), also have beneficial effects in this model. This is the case of imipramine, which has anxiolytic effects, selective inhibitors of noradrenaline reuptake such as reboxetine (IRN), effective in the resignation task, and venlafaxine, a mixed inhibitor of 5-HT and NA reuptake (SNRI), which reduces anxiety and restores preference over sucrose in a test measuring anhedonia [80]. Unconventional antidepressants, such as ketamine, attenuate the pro-depressant effects of CORT [81].

All of these data indicate that the CORT model is a model adapted to the study of depressive pathology. Although it has certain defects, such as the absence of a reduction in serotonergic tone, this model largely meets the validity criteria and is based on hyperactivity of the HPA axis, as is the case in human pathology [82].

Alternative models of depression

Automating behavioral tests, as is often proposed, seems illusory or even counterproductive, as observing behavior brings us closer to the human clinic. However, to date, this approach has failed to lead to the development of new treatments, and the biological mechanisms of depression are still poorly understood. It is difficult to compare all the animal models of depression as they vary widely in the manner of inducing abnormal behavior, in the aspects of behavior chosen for study, and in the time course of antidepressant action. This difficulty can be problematic in exporting data from the various laboratories. Other factors hinder comparing these models, such as strain, age, seasonal variations, light cycles utilized, etc. [83-85]. These different parameters can lead to observational differences between laboratories for the same drugs.

Conclusion

The perfect animal model of depression does not yet exist. No single animal model reviewed here is a precise paragon of depression as seen in humans, and questions concerning the utilization of a battery of tests/or instead of a single model, to determine antidepressant activity have been raised. As different aspects of depression are measured in each model and the different models possibly represent a different category of depression, the question remains whether a true comparison between models of a compound's antidepressant activity is possible [86].

However, the screening of drugs in these paradigms allows for a better understanding of the mode of action of antidepressants, the neurobiology of depression [87], as well as the discovery of new and more effective antidepressants [64]. The progress in knowledge of these animal models leads to translational psychopharmacology. That means the researchers can understand, through the models, the clinical features and make the synthesis we need to discover new drugs and even to better understand mood disorders.

The full potential of animal models of depression has not yet been realized, and they represent an under-explored opportunity for drug development, mainly because there are not enough intellectual links between preclinical and clinical researchers. Such opportunities arise from the molecular dissection of the biological features of the models. Finally, it is difficult to predict the potential activity of an antidepressant while having an animal model that closely resembles depression.

References

  1. Rosenström T, Jokela M. Reconsidering the definition of Major Depression based on Collaborative Psychiatric Epidemiology Surveys. J Affect Disord. 2017;207:38–46. Available from: https://doi.org/10.1016/j.jad.2016.09.014
  2. Maj M, Stein DJ, Parker G, Zimmerman M, Fava GA, De Hert M, et al. The clinical characterization of the adult patient with depression aimed at personalization of management. World Psychiatry. 2020;19:269–93. Available from: https://doi.org/10.1002/wps.20771
  3. Anderzhanova E, Kirmeier T, Wotjak CT. Animal models in psychiatric research: The RDoC system as a new framework for endophenotype-oriented translational neuroscience. Neurobiol Stress. 2017;7:47–56. Available from: https://doi.org/10.1016/j.ynstr.2017.03.003
  4. McKinney WT Jr, Bunney WE Jr. Animal model of depression. I. Review of evidence: implications for research. Arch Gen Psychiatry. 1969;21:240–8. Available from: https://doi.org/10.1001/archpsyc.1969.01740200112015
  5. Primo MJ, Fonseca-Rodrigues D, Almeida A, Teixeira PM, Pinto-Ribeiro F. Sucrose preference test: A systematic review of protocols for the assessment of anhedonia in rodents. Eur Neuropsychopharmacol. 2023;77:80–92. Available from: https://doi.org/10.1016/j.euroneuro.2023.08.496
  6. Bac P, Pages N, Maurois P, German-Fattal M, Durlach J. A new actimetry-based test of photic sensitization in a murine photosensitive magnesium depletion model. Methods Find Exp Clin Pharmacol. 2005;27:681–4. Available from: https://doi.org/10.1358/mf.2005.27.10.948880
  7. Kraeuter AK, Guest PC, Sarnyai Z. The Open Field Test for measuring locomotor activity and anxiety-like behavior. Methods Mol Biol. 2019;1916:99–103. Available from: https://doi.org/10.1007/978-1-4939-8994-2_9
  8. Shiotsuki H, Yoshimi K, Shimo Y, Funayama M, Takamatsu Y, Ikeda K, et al. A rotarod test for evaluation of motor skill learning. J Neurosci Methods. 2010;189:180–5. Available from: https://doi.org/10.1016/j.jneumeth.2010.03.026
  9. Jordan JT, McDermott KD, Frechou MA, Shtrahman M, Gonçalves JT. Treadmill-based task for assessing spatial memory in head-fixed mice. STAR Protoc. 2021;2:100770. Available from: https://doi.org/10.1016/j.xpro.2021.100770
  10. Zadrozniak A, Wojda E, Wlaź A, Łuszczki JJ. Characterization of acute adverse-effect profiles of selected antiepileptic drugs in the grip-strength test in mice. Pharmacol Rep. 2009;61:737–42. Available from: https://doi.org/10.1016/s1734-1140(09)70128-8
  11. Rodríguez Peris L, Scheuber MI, Shan H, Braun M, Schwab ME. Barnes maze test for spatial memory: A new, sensitive scoring system for mouse search strategies. Behav Brain Res. 2024;458:114730. Available from: https://doi.org/10.1016/j.bbr.2023.114730
  12. Vorhees CV, Williams MT. Morris water maze: procedures for assessing spatial and related forms of learning and memory. Nat Protoc. 2006;1:848–58. Available from: https://doi.org/10.1038/nprot.2006.116
  13. Kraeuter AK, Guest PC, Sarnyai Z. The Y-Maze for assessment of spatial working and reference memory in mice. Methods Mol Biol. 2019;1916:105–11. Available from: https://doi.org/10.1007/978-1-4939-8994-2_10
  14. Pałucha-Poniewiera A, Rafało-Ulińska A, Santocki M, Babii Y, Kaczorowska K. Partial mGlu5 receptor NAM, M-5MPEP, induces rapid and sustained antidepressant-like effects in the BDNF-dependent mechanism and enhances (R)-ketamine action in mice. Pharmacol Rep. 2024;76:504–18. Available from: https://doi.org/10.1007/s43440-024-00588-3
  15. Broekkamp CL, Rijk HW, Joly-Gelouin D, Lloyd KL. Major tranquillizers can be distinguished from minor tranquillizers based on effects on marble burying and swim-induced grooming in mice. Eur J Pharmacol. 1986;126:223–9. Available from: https://doi.org/10.1016/0014-2999(86)90051-8
  16. Bourin M, Hascoët M. The mouse light/dark box test. Eur J Pharmacol. 2003;463:55–65. Available from: https://doi.org/10.1016/s0014-2999(03)01274-3
  17. Moy SS, Nadler JJ, Young NB, Perez A, Holloway LP, Barbaro RP, et al. Mouse behavioral tasks relevant to autism: phenotypes of 10 inbred strains. Behav Brain Res. 2007;176:4–20. Available from: https://doi.org/10.1016/j.bbr.2006.07.030
  18. Lee EH, Park JY, Lee Y, Han PL. Sociability and social novelty preference tests using a U-shaped two-choice field. Bio Protoc. 2018;8(10):e2853. Available from: https://doi.org/10.21769/bioprotoc.2853
  19. Can A, Dao DT, Terrillion CE, Piantadosi SC, Bhat S, Gould TD. The tail suspension test. J Vis Exp. 2012;59:e3769. Available from: https://doi.org/10.3791/3769
  20. Petit-Demouliere B, Chenu F, Bourin M. Forced swimming test in mice: a review of antidepressant activity. Psychopharmacology (Berl). 2005;177:245–55. Available from: https://doi.org/10.1007/s00213-004-2048-7
  21. Fincham FD, Hokoda A, Sanders R Jr. Learned helplessness, test anxiety, and academic achievement: a longitudinal analysis. Child Dev. 1989;60:138–45. Available from: https://doi.org/10.1111/j.1467-8624.1989.tb02703.x
  22. Czéh B, Fuchs E, Wiborg O, Simon M. Animal models of major depression and their clinical implications. Prog Neuropsychopharmacol Biol Psychiatry. 2016;64:293–310. Available from: https://doi.org/10.1016/j.pnpbp.2015.04.004
  23. Becker M, Pinhasov A, Ornoy A. Animal models of depression: what can they teach us about the human disease? Diagnostics (Basel). 2021;11(1):123. Available from: https://doi.org/10.3390/diagnostics11010123
  24. Tractenberg SG, Levandowski ML, de Azeredo LA, Orso R, Roithmann LG, Hoffmann ES, et al. An overview of maternal separation effects on behavioural outcomes in mice: evidence from a four-stage methodological systematic review. Neurosci Biobehav Rev. 2016;68:489–503. Available from: https://doi.org/10.1016/j.neubiorev.2016.06.021
  25. Vetulani J. Early maternal separation: a rodent model of depression and a prevailing human condition. Pharmacol Rep. 2013;65:1451–61. Available from: https://doi.org/10.1016/s1734-1140(13)71505-6
  26. Ferland CL, Harris EP, Lam M, Schrader LA. Facilitation of the HPA axis to a novel acute stress following chronic stress exposure modulates histone acetylation and the ERK/MAPK pathway in the dentate gyrus of male rats. Endocrinology. 2014;155:2942–52. Available from: https://doi.org/10.1210/en.2013-1918
  27. Eliwa MS, El-Morshedy M. A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications. J Appl Stat. 2021;49:2467–87. Available from: https://doi.org/10.1080/02664763.2021.1905787
  28. Chourbaji S, Zacher C, Sanchis-Segura C, Dormann C, Vollmayr B, Gass P. Learned helplessness: validity and reliability of depressive-like states in mice. Brain Res Brain Res Protoc. 2005;16:70–8. Available from: https://doi.org/10.1016/j.brainresprot.2005.09.002
  29. Ramaker MJ, Dulawa SC. Identifying fast-onset antidepressants using rodent models. Mol Psychiatry. 2017;22:656–65. Available from: https://doi.org/10.1038/mp.2017.36
  30. Chiba S, Numakawa T, Ninomiya M, Richards MC, Wakabayashi C, Kunugi H. Chronic restraint stress causes anxiety- and depression-like behaviors, downregulates glucocorticoid receptor expression, and attenuates glutamate release induced by brain-derived neurotrophic factor in the prefrontal cortex. Prog Neuropsychopharmacol Biol Psychiatry. 2012;39:112–9. Available from: https://doi.org/10.1016/j.pnpbp.2012.05.018
  31. Tafet GE, Nemeroff CB. The links between stress and depression: psychoneuroendocrinological, genetic, and environmental interactions. J Neuropsychiatry Clin Neurosci. 2016;28:77–88. Available from: https://doi.org/10.1176/appi.neuropsych.15030053
  32. Krishnan V, Nestler EJ. Animal models of depression: molecular perspectives. Curr Top Behav Neurosci. 2011;7:121–47. Available from: https://doi.org/10.1007/7854_2010_108
  33. Porsolt RD, Le Pichon M, Jalfre M. Depression: a new animal model sensitive to antidepressant treatment. Nature. 1977;266:730–2. Available from: https://doi.org/10.1038/266730a0
  34. Porsolt RD. Animal models of depression: utility for transgenic research. Rev Neurosci. 2000;11:53–8. Available from: https://doi.org/10.1515/revneuro.2000.11.1.53
  35. Lucki I, Dalvi A, Mayorga AJ. Sensitivity to the effects of pharmacologically selective antidepressants in different strains of mice. Psychopharmacology (Berl). 2001;155:315–22. Available from: https://doi.org/10.1007/s002130100694
  36. Bourin M. New challenges for translational psychopharmacology. Front Psychiatry. 2010;1:3. Available from: https://doi.org/10.3389/fpsyt.2010.00003
  37. Eisch AJ, Bolanos CA, de Wit J, Simonak RD, Pudiak CM, Barrot M, et al. Brain-derived neurotrophic factor in the ventral midbrain-nucleus accumbens pathway: a role in depression. Biol Psychiatry. 2003;54:994–1005. Available from: https://doi.org/10.1016/j.biopsych.2003.08.003
  38. Siuciak JA, Lewis DR, Wiegand SJ, Lindsay RM. Antidepressant-like effect of brain-derived neurotrophic factor (BDNF). Pharmacol Biochem Behav. 1997;56:131–7. Available from: https://doi.org/10.1016/s0091-3057(96)00169-4
  39. Guo WY, Todd KG, Bourin M, Hascoët M. The additive effects of quinine on antidepressant drugs in the forced swimming test in mice. Psychopharmacology (Berl). 1995;121:173–9. Available from: https://doi.org/10.1007/bf02245627
  40. Guo W, Todd K, Bourin M, Hascoët M, Kouadio F. Additive effects of glyburide and antidepressants in the forced swimming test: evidence for the involvement of potassium channel blockade. Pharmacol Biochem Behav. 1996;54:725–30. Available from: https://doi.org/10.1016/0091-3057(95)02226-0
  41. Redrobe JP, Pinot P, Bourin M. The effect of the potassium channel activator, cromakalim, on antidepressant drugs in the forced swimming test in mice. Fundam Clin Pharmacol. 1996;10:524–8. Available from: https://doi.org/10.1111/j.1472-8206.1996.tb00610.x
  42. Slattery DA, Hudson AL, Nutt DJ. Invited review: the evolution of antidepressant mechanisms. Fundam Clin Pharmacol. 2004;18:1–21. Available from: https://doi.org/10.1111/j.1472-8206.2004.00195.x
  43. Nestler EJ, Gould E, Manji H, Buncan M, Duman RS, Greshenfeld HK, et al. Preclinical models: status of basic research in depression. Biol Psychiatry. 2002;52(6):503–28. Available from: https://doi.org/10.1016/s0006-3223(02)01405-1
  44. Gardier AM, Trillat AC, Malagié I, David D, Hascoët M, Colombel MC, et al. Serotonin 5-HT1B receptors and antidepressant effects of selective serotonin reuptake inhibitors. C R Acad Sci III. 2001;324:433–41. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0764446901013324
  45. Holmes A, Yang RJ, Murphy DL, Crawley JN. Evaluation of antidepressant-related behavioral responses in mice lacking the serotonin transporter. Neuropsychopharmacology. 2002;27:914–23. Available from: https://doi.org/10.1016/s0893-133x(02)00374-3
  46. Cryan JF, Dalvi A, Jin SH, Hirsch BR, Lucki I, Thomas SA. Use of dopamine-beta-hydroxylase-deficient mice to determine the role of norepinephrine in the mechanism of action of antidepressant drugs. J Pharmacol Exp Ther. 2001;298:651–7. Available from: https://pubmed.ncbi.nlm.nih.gov/11454927/
  47. Redrobe JP, Bourin M. Clonidine potentiates the effects of 5-HT1A, 5-HT1B and 5-HT2A/C antagonists and 8-OH-DPAT in the mouse forced swimming test. Eur Neuropsychopharmacol. 1998;8:169–73. Available from: https://doi.org/10.1016/s0924-977x(97)00073-4
  48. Yankelevitch-Yahav R, Franko M, Huly A, Doron R. The forced swim test as a model of depressive-like behavior. J Vis Exp. 2015;(97):e52587. Available from: https://doi.org/10.3791/52587
  49. Unal G, Canbeyli R. Psychomotor retardation in depression: A critical measure of the forced swim test. Behav Brain Res. 2019;372:112047. Available from: https://doi.org/10.1016/j.bbr.2019.112047
  50. Molendijk ML, de Kloet ER. Immobility in the forced swim test is adaptive and does not reflect depression. Psychoneuroendocrinology. 2015;62:389–91. Available from: https://doi.org/10.1016/j.psyneuen.2015.08.028
  51. Steru L, Chermat R, Thierry B, Simon P. The tail suspension test: a new method for screening antidepressants in mice. Psychopharmacology (Berl). 1985;85:367–70. Available from: https://doi.org/10.1007/bf00428203
  52. Steru L, Chermat R, Thierry B, Mico JA, Lenegre A, Steru M, et al. The automated Tail Suspension Test: a computerised device which differentiates psychotropic drugs. Prog Neuropsychopharmacol Biol Psychiatry. 1987;11:659–71. Available from: https://doi.org/10.1016/0278-5846(87)90002-9
  53. Bourin M, Chenu F, Ripoll N, David DJ. A proposal of a decision tree to screen putative antidepressants using forced swim and tail suspension tests. Behav Brain Res. 2005;164:266–72. Available from: https://doi.org/10.1016/j.bbr.2005.06.015
  54. Willner P. The chronic mild stress (CMS) model of depression: History, evaluation, and usage. Neurobiol Stress. 2016;6:78–93. Available from: https://doi.org/10.1016/j.ynstr.2016.08.002
  55. Gorka Z, Moryl E, Papp M. Effect of chronic mild stress on circadian rhythms in the locomotor activity in rats. Pharmacol Biochem Behav. 1996;54(2):229-34. Available from: https://doi.org/10.1016/0091-3057(95)02173-6
  56. Puigoriol-Illamola D, Martínez-Damas M, Griñán-Ferré C, Pallàs M. Chronic Mild Stress Modified Epigenetic Mechanisms Leading to Accelerated Senescence and Impaired Cognitive Performance in Mice. Int J Mol Sci. 2020;21(3):1154. Available from: https://doi.org/10.3390/ijms21031154
  57. Seligman ME, Rosellini RA, Kozak MJ. Learned helplessness in the rat: reversibility, time course, and immunisation. J Comp Physiol Psychol. 1975;88(3):542-7. Available from: https://doi.org/10.1037/h0076431
  58. Landgraf D, Long J, Der-Avakian A, Streets M, Welsh DK. Dissociation of learned helplessness and fear conditioning in mice: a mouse model of depression. PLoS One. 2015;10(4):e0125892. Available from: https://doi.org/10.1371/journal.pone.0125892
  59. Gregus A, Wintink AJ, Davis AC, Kalynchuk LE. Effect of repeated corticosterone injections and restraint stress on anxiety and depression-like behavior in male rats. Behav Brain Res. 2005;156(1):105-14. Available from: https://doi.org/10.1016/j.bbr.2004.05.013
  60. Fiksdal A, Hanlin L, Kuras Y, Gianferante D, Chen X, Thoma MV, et al. Associations between symptoms of depression and anxiety and cortisol responses to and recovery from acute stress. Psychoneuroendocrinology. 2019;102:44-52. Available from: https://doi.org/10.1016/j.psyneuen.2018.11.035
  61. Atrooz F, Alkadhi KA, Salim S. Understanding stress: Insights from rodent models. Curr Res Neurobiol. 2021;2:100013. Available from: https://doi.org/10.1016/j.crneur.2021.100013
  62. Sharan P, Vellapandian C. Hypothalamic-Pituitary-Adrenal (HPA) Axis: Unveiling the Potential Mechanisms Involved in Stress-Induced Alzheimer's Disease and Depression. Cureus. 2024;16(8):e67595. Available from: https://doi.org/10.7759/cureus.67595
  63. Becker M, Pinhasov A, Ornoy A. Animal Models of Depression: What Can They Teach Us about the Human Disease? Diagnostics (Basel). 2021;11(1):123. Available from: https://doi.org/10.3390/diagnostics11010123
  64. Zhao Y, Ma R, Shen J, Su H, Xing D, Du L. A mouse model of depression induced by repeated corticosterone injections. Eur J Pharmacol. 2008;581(1-2):113-20. Available from: https://doi.org/10.1016/j.ejphar.2007.12.005
  65. Wang Q, Timberlake MA 2nd, Prall K, Dwivedi Y. The recent progress in animal models of depression. Prog Neuropsychopharmacol Biol Psychiatry. 2017;77:99-109. Available from: https://doi.org/10.1016/j.pnpbp.2017.04.008
  66. David DJ, Samuels BA, Rainer Q, Wang JW, Marsteller D, Mendez I, et al. Neurogenesis-dependent and -independent effects of fluoxetine in an animal model of anxiety/depression. Neuron. 2009;62(4):479-93. Available from: https://doi.org/10.1016/j.neuron.2009.04.017
  67. Murray F, Smith DW, Hutson PH. Chronic low-dose corticosterone exposure decreased hippocampal cell proliferation, volume, and induced anxiety and depression-like behaviors in mice. Eur J Pharmacol. 2008;583(1):115-27. Available from: https://doi.org/10.1016/j.ejphar.2008.01.014
  68. Demuyser T, Bentea E, Deneyer L, Albertini G, Massie A, Smolders I. Disruption of the HPA-axis through corticosterone-release pellets induces robust depressive-like behavior and reduced BDNF levels in mice. Neurosci Lett. 2016;626:119-25. Available from: https://doi.org/10.1016/j.neulet.2016.05.026
  69. Yohn CN, Dieterich A, Maita I, Bazer AS, Diethorn E, Ma D, et al. Behavioral response to fluoxetine in both female and male mice is modulated by dentate gyrus granule cell activity. Neurobiol Stress. 2020;13:100257. Available from: https://doi.org/10.1016/j.ynstr.2020.100257
  70. Darcet F, Mendez-David I, Tritschler L, Gardier AM, Guilloux JP, David DJ. Learning and memory impairments in a neuroendocrine mouse model of anxiety/depression. Front Behav Neurosci. 2014;8:136. Available from: https://doi.org/10.3389/fnbeh.2014.00136
  71. Le Dantec Y, Hache G, Guilloux JP, Guiard BP, David DJ, Adrien J, et al. NREM sleep hypersomnia and reduced sleep/wake continuity in a neuroendocrine mouse model of anxiety/depression based on chronic corticosterone administration. Neuroscience. 2014;274:357-68. Available from: https://doi.org/10.1016/j.neuroscience.2014.05.050
  72. Bacq A, Balasse L, Biala G, Guiard B, Gardier AM, Schinkel A, et al. Organic cation transporter 2 controls brain norepinephrine and serotonin clearance and antidepressant response. Mol Psychiatry. 2012;17(9):926-39. Available from: https://doi.org/10.1038/mp.2011.87
  73. Mekiri M, Gardier AM, David DJ, Guilloux JP. Chronic corticosterone administration effects on behavioral emotionality in female C57BL/6 mice. Exp Clin Psychopharmacol. 2017;25(1):94-104. Available from: https://doi.org/10.1037/pha0000112
  74. Planchez B, Surget A, Belzung C. Animal models of major depression: drawbacks and challenges. J Neural Transm (Vienna). 2019;126(10):1383-1408. Available from: https://doi.org/10.1007/s00702-019-02084-y
  75. Estévez-Cabrera MM, Sánchez-Muñoz F, Pérez-Sánchez G, Pavón L, Hernández-Díazcouder A, Córtes Altamirano JL, et al. Treatment with fluoxetine using the chronic unpredictable stress model induces changes in neurotransmitters and circulating miRNAs in extracellular vesicles. Heliyon. 2023;9(2):e13442. Available from: https://doi.org/10.1016/j.heliyon.2023.e13442
  76. Jacobsen JP, Siesser WB, Sachs BD, Peterson S, Cools MJ, Setola V, et al. Deficient serotonin neurotransmission and depression-like serotonin biomarker alterations in tryptophan hydroxylase 2 (Tph2) loss-of-function mice. Mol Psychiatry. 2012;17(7):694-704. Available from: https://doi.org/10.1038/mp.2011.50
  77. Fan Y, Chen P, Li Y, Cui K, Noel DM, Cummins ED, et al. Corticosterone administration up-regulated expression of norepinephrine transporter and dopamine β-hydroxylase in rat locus coeruleus and its terminal regions. J Neurochem. 2014;128(4):445-58. Available from: https://doi.org/10.1111/jnc.12459
  78. Surget A, Belzung C. Adult hippocampal neurogenesis shapes adaptation and improves stress response: a mechanistic and integrative perspective. Mol Psychiatry. 2022;27(2):403-21. Available from: https://doi.org/10.1038/s41380-021-01136-8
  79. Tsimpolis A, Kalafatakis K, Charalampopoulos I. Recent advances in the crosstalk between the brain-derived neurotrophic factor and glucocorticoids. Front Endocrinol (Lausanne). 2024;15:1362573. Available from: https://doi.org/10.3389/fendo.2024.1362573
  80. Toda T, Parylak SL, Linker SB, Gage FH. The role of adult hippocampal neurogenesis in brain health and disease. Mol Psychiatry. 2019;24(1):67-87. Available from: https://doi.org/10.1038/s41380-018-0036-2
  81. Alaiyed S, McCann M, Mahajan G, Rajkowska G, Stockmeier CA, Kellar KJ, et al. Venlafaxine Stimulates an MMP-9-Dependent Increase in Excitatory/Inhibitory Balance in a Stress Model of Depression. J Neurosci. 2020;40(22):4418-31. Available from: https://doi.org/10.1523/jneurosci.2387-19.2020
  82. Brachman RA, McGowan JC, Perusini JN, Lim SC, Pham TH, Faye C, et al. Ketamine as a Prophylactic Against Stress-Induced Depressive-like Behavior. Biol Psychiatry. 2016;79(10):776-86. Available from: https://doi.org/10.1016/j.biopsych.2015.04.022
  83. Petković A, Chaudhury D. Encore: Behavioural animal models of stress, depression and mood disorders. Front Behav Neurosci. 2022;16:931964. Available from: https://doi.org/10.3389/fnbeh.2022.931964
  84. Bourin M, Colombel MC, Redrobe JP, Nizard J, Hascoët M, Baker GB. Evaluation of the efficacy of different classes of antidepressants in the forced swimming test in mice at different ages. Prog Neuropsychopharmacol Biol Psychiatry. 1998;22(2):343-51. Available from: https://doi.org/10.1016/s0278-5846(98)00009-8
  85. David DJ, Bourin M, Hascoët M, Colombel MC, Baker GB, Jolliet P. Comparison of antidepressant activity in 4- and 40-week-old male mice in the Forced Swimming test: involvement of 5-HTA and 5-HT receptors in old mice. Psychopharmacology (Berl). 2001;152(4):443-9. Available from: https://doi.org/10.1007/s002130000588
  86. David DJ, Nic Dhonnchadha BA, Jolliet P, Hascoët M, Bourin M. Are there gender differences in the temperature profile of mice after acute antidepressant administration and exposure to two animal models of depression? Behav Brain Res. 2001;119(1-2):203-11. Available from: https://doi.org/10.1016/s0166-4328(00)00351-x
  87. Bourin M, Hascoët M, Colombel MC, Redrobe JP, Baker GB. Differential effects of clonidine, lithium, and quinine in the forced swimming test in mice for antidepressants: possible roles of the serotonergic system. Eur Neuropsychopharmacol. 1996;6(3):231-6. Available from: https://doi.org/10.1016/0924-977x(96)00025-9
  88. Remus JL, Dantzer R. Inflammation Models of Depression in Rodents: Relevance to Psychotropic Drug Discovery. Int J Neuropsychopharmacol. 2016;19(9):pyw028. Available from: https://doi.org/10.1093/ijnp/pyw028

Advertisement

 

Help ?