Innovative Drugs to Treat Depression: Did Animal Models Fail to Be Predictive or Did Clinical Trials Fail to Detect Effects?

Abstract

Over recent decades, encouraging preclinical evidence using rodent models pointed to innovative pharmacological targets to treat major depressive disorder. However, subsequent clinical trials have failed to show convincing results. Two explanations for these rather disappointing results can be put forward, either animal models of psychiatric disorders have failed to predict the clinical effectiveness of treatments or clinical trials have failed to detect the effects of these new drugs. A careful analysis of the literature reveals that both statements are true. Indeed, in some cases, clinical efficacy has been predicted on the basis of inappropriate animal models, although the contrary is also true, as some clinical trials have not targeted the appropriate dose or clinical population. On the one hand, refinement of animal models requires using species that have better homological validity, designing models that rely on experimental manipulations inducing pathological features, and trying to model subtypes of depression. On the other hand, clinical research should consider carefully the results from preclinical studies, in order to study these compounds at the correct dose, in the appropriate psychiatric nosological entity or symptomatology, in relevant subpopulations of patients characterized by specific biomarkers. To achieve these goals, translational research has to strengthen the dialogue between basic and clinical science.

INTRODUCTION

Major depressive disorder (MDD) is a very common mental disorder, mainly characterized by persistent anhedonia (inability to experience pleasure), apathy or lack of motivation, anxiety, and sadness. According to the World Health Organization (2008), MDD was ranked as the third leading cause of disability worldwide, and is predicted to worsen as it is expected to become the number one cause of the global burden of disease by 2030 (World Health Organization, 2008).

The first-line treatment of MDD is pharmacotherapy with antidepressants. The drugs that are currently used all share the property of increasing monoaminergic function as they impact the serotoninergic or the noradrenergic system by increasing availability of these neurotransmitters, either in a nonspecific way (eg, monoamine inhibitors or tricyclics impact both neurotransmission systems) or specifically on one of these two systems (eg, selective noradrenaline reuptake inhibitors or serotonin selective reuptake inhibitors (SSRIs)). However, even though these drugs are considered the primary treatment of MDD, a strong concern is that only one-third of MDD patients receiving antidepressants achieve complete remission of their symptoms after their first antidepressant therapy (Trivedi et al, 2006). This resistance to drugs can first be explained by nonspecific factors, such as hepatic drug metabolism (eg, variations of cytochrome P450; Yin et al, 2006; Mrazek et al, 2011) or insufficient penetrance into the brain of the compounds used (Kato et al, 2008; Lin et al, 2011; Uhr et al, 2008; Sarginson et al, 2010; Singh et al, 2012). Second, MDD is a complex pathology, associated with monoamines and also non-monoaminergic neurotransmitter systems (eg, GABA, glutamate, peptides, and cannabinoids), with alterations in signaling pathways (BDNF, tropomyosin-related kinase B receptor, extracellular signal–regulated kinase, and Akt pathways) and with hormonal dysregulation (eg, of the hypothalamic–pituitary–adrenal (HPA) axis). Furthermore, in recent years, epigenetic modifications (histone acetylation and methylation), altered glial function (eg, astrocyte deficit), inflammation (excess of proinflammatory cytokines), and decreased neural plasticity (hippocampal neurogenesis, hippocampal, and cortical synaptogenesis) have also been described (see Krishnan and Nestler, 2008; Tanti and Belzung, 2010; Willner et al, 2012 for reviews). It is evident that some of these alterations cannot be reversed by increasing monoamines, so the development of innovative treatments targeting these dysfunctions could lead to the discovery of antidepressants of the future. This is generally the rationale for designing new targets (Figure 1): polymorphisms in some genes or changes in some biomarkers (seen via imaging or biochemical assays for example) are usually first detected in patients, enabling new compounds targeting this dysfunction to be developed. The actions of these drugs are then assessed using animal models. Although some of the alterations mentioned above cannot be targeted by drugs, others yield encouraging results (see Table 1 for an overview). For example, in the last two decades very promising preclinical data have been obtained targeting stress hormone changes. Corticotropin releasing factor receptor 1 (CRF1) and vasopressin receptor 1b (V1b) antagonists have been developed, which reverse the HPA axis-related defects, and animal models have predicted a very high efficiency in treating MDD. Indeed, these molecules have generally shown antidepressant-like effects in several animal models of depression, in several species and on different behavioral readouts (Table 1). For example, CRF1 receptor antagonists have shown effects in three bioassays (forced swim test, tail suspension test, and DRL-72), in two species (mice and rats), and in three models (chronic stress, Flinder sensitive, and social stress). In addition, CRF1 receptor antagonists have shown anxiolytic effects in a wide range of anxiety tests and models (for a review see Griebel and Holmes, 2013). However, surprisingly, clinical trials undertaken using these drugs have frequently found negative results in MDD (Griebel and Holsboer, 2012), which questions the translational value of the initial findings. Indeed, concerning CRF1 antagonists, four studies out of five found it inactive in double blind controlled clinical trials. These disappointing findings could be explained either by inappropriate animal models for predicting clinical effects or possible defects regarding the clinical data. This paper tries to address this issue, and to propose appropriate solutions.

Figure 1.

The different steps in the discovery of antidepressants. Abnormalities of some biomarkers (eg, as detected via plasma biochemical assays or molecular imaging) or polymorphism of some genes were first described in depressed patients. In some cases, preclinical research has already shown that some of the targets are expressed in crucial brain areas of rodents, eg, corticolimbic networks. Together, these findings enable pharmacological compounds targeting these dysfunctions to be designed. These drugs are then tested in animal models. It is important first to check whether the targets are expressed in a similar way in humans and the species that is going to be tested. In case no effect is detected (negative findings), clinical development is stopped (at this point, it is not possible to know whether the drug was a true negative or a false negative). In case an effect is found in different models, the drug/molecule can be tested in randomized double-blind clinical trials. When an effect is seen, it indicates that the drug was a true positive and patients can be treated with this drug. When the clinical trial does not reveal an antidepressant effect of the drug, the compound was a false positive.

Table 1. Monotherapy with Non-Monoaminergic Targets of Antidepressant Action in Patients with Major Depression or Treatment-Resistant Depression: Effects in Clinical Trials and Predictions from Animal Models.

Target	Clinical trials in MDD	Animal models/test sin which these targets showed antidepressant-like effects
NK1 receptor antagonists	13 Studies: 4 showed improvement, 6 showed no effects, others were inconclusive or terminated1	Forced swim test and tail suspension test in gerbils10, chronic social stress in tree shrews11 and in rats12
NK2 receptor antagonists	6 Studies: 2 showed improvement, 3 no effect, 1 inconclusive1	Forced swim test in rats and mice13, tonic immobility in gerbils14, olfactory bulbectomy and DRL72 in rats15, unpredictable chronic stress in mice15
NK3 receptor antagonists	2 Studies, both inconclusive1	Tonic immobility in gerbils14 and forced swim test in rats16
CRF1 receptor antagonists	5 Studies: 4 inactive and 1 improvement1	Forced swim test in rats17, tail suspension in mice18, DRL-72 in rats19, forced swim test in Flinder sensitive rats20, social stress in rats21, chronic stress in rats22, unpredictable chronic stress in mice23
V1b receptor antagonists	2 Studies: 1 active, 1 inactive1,2	Olfactory bulbectomy in rats24, forced swim test in normal rats25 and Flinder sensitive rats26, chronic stress in rats27 and mice28
NMDA receptor antagonists	6 Studies in MDD or treatment resistant depression: 4 active3	Chronic stress, learned helplessness, novelty suppression of feeding, tail suspension, forced swimming29
AMPA receptor positive allosteric modulator	1 Study, active4	Forced swimming and tail suspension test29
Sodium chanel inhibitors (lamotrigin)	2 Studies: 1 negative5, 1 not active6	Forced swimming test and chronic stress29
Inhibitor of beta-lactamase (serdaxin)	1 Study, active7	Forced swimming and tail suspension30
Omega-3 supplementation	6 Studies: 4 active8, 2 inactive9	Chronic mild stress in mice and rats31, forced swimming and tail suspension tests in rats and mice32

This table does not include compounds with a monoaminergic component (such as vortioxetine, quetiapine, or agomalatine), add-on therapies (in which a putative treatment is associated with a monoaminergic medication), or clinical trials targeting anxiety disorders or bipolar depression. NK1 receptor antagonists tested in clinical trials in MDD include orvepitant, L-759274, CP-122721, casopitant, aprepitant. Saredutant and osanetant are, respectively, the sole NK2 and NK3 receptor antagonists tested clinically. CRF receptor antagonists investigated in clinical trials for the treatment of MDD include CP-316311, NBI 30775 (R121919), ONO-2333Ms, SSR125543, and verucerfront (GSK561679). The sole V1b receptor antagonist tested clinically is SSR-149415. Clinically tested NMDA antagonists include the non-competitive/high-affinity NMDA receptor antagonist ketamine, the non-competitive/low-affinity NMDA antagonist memantine, and the NR2B subunit-selective NMDA receptor antagonists CP-101, 606, and MK-0657. ¹Griebel and Holsboer, 2012 (review); ²Griebel et al, 2012; ³Mathews et al, 2012 (review); ⁴Nations et al, 2012; ⁵Santos et al, 2008; ⁶Barbee et al, 2011; ⁷Riesenberg et al, 2012; ⁸Freund-Levi et al, 2008; da Silva et al, 2008; Freeman et al, 2011; Lespérance et al, 2011; ⁹van de Rest et al, 2008; Bot et al, 2010; ¹⁰Varty et al, 2003; Wallace-Boone et al, 2008; ¹¹van der Hart et al, 2005; Czéh et al, 2005; ¹²Papp et al, 2000; ¹³Steinberg et al, 2001; ¹⁴Salomé et al, 2006; ¹⁵Louis et al, 2008; ¹⁶Dableh et al, 2005; ¹⁷Jutkiewicz et al, 2005; ¹⁸Nielsen et al, 2004; ¹⁹Louis et al, 2006; ²⁰Overstreet and Griebel, 2004; ²¹Wood et al, 2012; ²²Sandi et al, 2008; ²³Ducottet et al, 2003; Surget et al, 2008, 2009, 2011, Dournes et al, 2013; ²⁴Breuer et al, 2009; ²⁵Griebel et al, 2002; ²⁶Overstreet and Griebel, 2005; ²⁷Bessa et al, 2009; ²⁸Griebel et al, 2002; Surget et al, 2008; ²⁹Lapidus et al, 2013 (review); ³⁰Mineur et al, 2007; ³¹Vancassel et al, 2008; Ferraz et al, 2011; Naveen et al, 2013; ³²Venna et al, 2009; Blondeau et al, 2009.

DID ANIMAL MODELS FAIL TO BE PREDICTIVE?

The first issue concerns animal models of MDD. Several experimental manipulations have been designed to induce chronic depressive-like states in rodents, including early maternal deprivation, learned helplessness, social defeat, unpredictable chronic mild stress (UCMS), or chronic corticosterone administration (for an overview see Table 2; McArthur and Borsini, 2006; Markou et al, 2009; Cryan and Holmes, 2005). The changes induced can then be assessed either at the physiological level using corticosterone dosage, eg, or at the behavioral level using bioassays measuring resignation behavior, anhedonia, lack of motivation, etc (for a summary see Table 3). The failure to find new pharmacological treatments for this disease could be related to the inappropriateness of the animal models currently used to predict clinical outcomes correctly. In this case, animal models would generate a high number of false positive drugs: this research would detect antidepressant-like effects of compounds, which did not have such properties in clinical trials. This has indeed been observed in some cases (Markou et al, 2009; Rupniak, 2003), and may be due to insufficient external validity in translational research: results from the bench cannot be directly extrapolated to the bedside.

Table 2. Animal Models of Depression Based on Experimental Manipulations Inducing Long-Lasting Behavioral and Neurobiological Changes.

Animal model	Rationale	Reference
Repeated maternal separation	Inducing a strong vulnerability to depression by applying stressful events during the developmental period (before weaning)	Millstein and Holmes, 2007
Spontaneous stress-prone rats	Using rats with spontaneous sensitivity to stress such as Flinders sensitive line rat, Wistar Kyoto rat, fawn-hooded rat, learned helpless rat	Overstreet, 2012
Learned helplessness	Inducing chronic behavioral despair by learning that a situation is without solution	Overmier and Seligman, 1967
Social defeat	Inducing chronic stress by repeated confrontation with a congener in which mice will experience social defeat	Berton et al, 2006
Unpredictable chronic mild stress	Inducing chronic mild stress based on the inability of the animals to predict their occurrence	Willner et al, 1992
Chronic corticosterone	Chronic corticosterone in the drinking water	David et al, 2009

Table 3. Different Readouts Enabling Depression-Like Behavior in Rodents to be Assessed.

Depression-related phenotype	Test	Reference
Resignation	Forced swimming Tail suspension	Porsolt et al, 1978 Steru et al, 1985
Lack of motivation	Grooming behavior in the splash test Nest building in the nest test Decrease in coat state score	Santarelli et al, 2003 Nollet et al, 2013 Nollet et al, 2013
Anhedonia	Sucrose preference Cookie test Decreased intra-cranial self-stimulation	Willner et al, 1987 Surget et al, 2011 Moreau et al, 1992
Anxiety	Novelty-induced suppression of feeding behavior	Dulawa and Hen, 2005
Irritability	Resident-intruder test	Mineur et al, 2003

The failure of preclinical research to translate to the clinic could be due to poor validity of the animal situations used to model MDD. Our first example concerns poor homological validity relating to insufficient relevance of the species and of the strain chosen to construct the animal model (Belzung and Lemoine, 2011). It should be remembered that research has focused on the involvement of the tachykinin family, including substance P, neurokinin A, and neurokinin B, in psychiatric disorders such as MDD (Ebner et al, 2009), and also on the relevance of these targets to treat these pathologies. Tachykinins interact with specific receptors particularly the NK1, NK2, and NK3 receptors (Regoli et al, 1994). Several studies have shown that the NK3 receptor antagonist osanetant induces antidepressant-like and anxiolytic-like effects in rodents (Dableh et al, 2005; Salomé et al, 2006). However, although rats, guinea pigs, and gerbils show a distribution of NK3 receptors similar to that found in some human brain areas relevant to MDD, such as in the cerebral cortex, the medial habenula, the amygdala nuclei, the ventral tegmental area, and the dentate gyrus, outside these structures strong inter-species differences can be observed (Griebel and Beeské, 2012). For example, only the guinea pig possesses NK3 receptors in the lateral septum, whereas in the rat no NK3-binding sites can be detected in the thalamus. Interestingly, the distribution of NK3 receptors found in the guinea pig brain is close to that described in the human brain; this is also true for the pharmacological profile of NK3 receptors (Nguyen et al, 1994; Suman-Chauhan et al, 1994). Consequently, rats have poor homological validity for the investigation of the anti-stress properties of NK3 receptor ligands, while other species, such as guinea pigs, are fully appropriate. Using rats or mice in preclinical research investigating the effects of NK3 agents can thus lead to false negatives. It is probable that this observation also applies to other innovative targets, although inter-species comparisons of these molecular targets have not been conducted in a systematic way and are thus missing in many cases. Unfortunately, almost all animal models of MDD have been developed in rats or mice. Therefore, when human genetics or imaging studies undertaken in depressed subjects point to precise targets, it should first be verified that these targets are expressed in the model species in an appropriate way. If this is not the case, alternative species in which these targets are expressed in a homological way to humans should be used in designing models of depression. This requires prior extensive research on the biology and ethology of these species. Furthermore, homological validity not only requires choosing the appropriate species, but also identifying the relevant strain. For example, mice are characterized by a large phenotypic and genotypic variability, as more than 450 inbred strains have been described for this species (Beck et al, 2000). They vary for crucial phenotypes, such as stress sensitivity (Pothion et al, 2004; Ducottet and Belzung, 2005). In addition, mice are also the model species to design knockouts, knockdowns, or knockins of particular genes. Thus, the criteria to be used to choose the appropriate strain should be selected carefully. First, it is important to consider that knockout mice, deficient in one particular gene, are probably not appropriate to model MDD or psychiatric pathologies in general, as these diseases are not related to the absence of one particular gene. Appropriate models should focus on mice strains characterized by a high vulnerability to developing depressive-like behaviors; this includes strains bearing polymorphisms of particular genes involved in the etiology of MDD or strains characterized by poor maternal care (eg, BALB/c mice: Calatayud and Belzung, 2001, 2004), as this factor also largely contributes to the occurrence of depressive episodes in humans (Willner et al, 2012).

Another concern relates to the fact that drug effects have frequently been assessed using bio-assays such as the forced swimming test or the tail suspension test performed on normal animals, ie, in rodents that have not been subjected to experimental manipulations aimed at inducing a depression-like state. In humans, it is well documented that antidepressant therapy has substantial efficacy only in a sub-category of highly depressed subjects. In non-depressed patients, antidepressant efficacy is equivalent to placebo effects (Fournier et al, 2010; Khan et al, 2002; Kirsch et al, 2008). Therefore, it can be predicted that in rodents a similar picture should be found, namely that drugs should have no antidepressant-like effects in normal rodents subjected to these assays. If effects are detected in ‘normal' rodents tested under these conditions, this argues against the predictive validity of these situations. Furthermore, in mice subjected to an UCMS, an experimental manipulation known to elicit biological and behavioral changes equivalent to those observed in humans with MDD (Sibille et al, 2009), it has also been shown that the effects of a chronic treatment with fluoxetine, a SSRI frequently used to treat MDD, elicit impressive changes in the expression of mRNA in various brain areas crucial for MDD, such as the dentate gyrus, the amygdala, and the cingulate cortex. Interestingly, in the cingulate cortex, the molecular changes induced by chronic fluoxetine were compared in mice subjected to UCMS or not, and no correlation of the molecular changes induced under these two conditions was found (Surget et al, 2009). This indicates that, at the molecular level, this SSRI does not elicit the same changes in normal mice and in those subjected to a protocol inducing a depressive-like state. Therefore, predictive validity (the ability of a model to predict drug efficacy: see McKinney and Bunney, 1969; Abramson and Seligman, 1977; Willner, 1984; Soubrié and Simon, 1989; Geyer and Markou, 1995; Koob et al, 1998; Sarter and Bruno, 2002; Weiss and Kilts, 1998 for further definitions) of a given compound has to be assessed in animals subjected to manipulations inducing a pathological state (eg, early environmental manipulations during the developmental period or stress-related manipulations during adulthood): when this is not the case the relevance and thus predictability may be poor. This is in line with findings that have shown that some putative antidepressants demonstrate effects only in rodents, which are either genetically stress-prone or have been placed in highly challenging conditions, such as stressful situations. For example, CRF receptor antagonists have poor effects in depression assays in animals that have not been stressed or that do not show high basal sustained activation of CRF receptors (for a review see Kehne and Cain, 2010). CRF antagonists might induce an effect only when these receptors have been activated by endogenous ligands such as CRF or urocortin, which is the case in stressful situations. It is also important to mention here that the experimental manipulations that are used to induce the depressive-like state should directly target the disease, and not comorbid pathologies. For example, chronic corticosterone administration has been used as a model of MDD (Fernandes et al, 1997; David et al, 2009) but this is in fact a model of Cushing's disease, a pathology highly comorbid with MDD, and not of MDD itself. Indeed, glucocorticoids per se are not sufficient to induce all aspects of stress exposure. It is probable that the subject requires concomitant occurrence of the context eliciting stress and of the associated hormonal component (ie, glucocorticoid release). This has recently been illustrated by Veenit et al (2013) who showed that corticosterone administration mimicked some (the aggressive component) but not all aspects of the depressive-like behavior (not the resignation component) related to stress. Interestingly, in patients suffering from Cushing's disease, a decrease in glucocorticoid synthesis or action rather than antidepressant therapy results in remission of the depressive symptoms (Pereira et al, 2010); therefore, high predictive validity of an animal model based on excessive glucocorticoids should in fact correspond to poor response to monoaminergic antidepressants, which seems not to be the case.

We have already reported that depression is characterized by a high proportion of treatment-resistant patients (see Introduction), ie, patients who do not show remission after monotherapy with monoaminergic drugs. New treatments that are effective in these patients therefore need to be designed, which also requires animal models of treatment-resistant depression. Few such models are available, particularly because response to classically used antidepressants is considered an important criterion to be fulfilled for the model to be considered valid for depression. Rodent models of treatment-resistant depression should thus be designed which do not respond to classical antidepressants and mimic some of the factors that are associated with treatment-resistant depression in humans. Some such models already exist: eg, the treatment resistance that is associated with high-fat diets has been translated to an animal model (Isingrini et al, 2010). Furthermore, reduced sensitivity to antidepressant therapy can also occur spontaneously in some strains of mice such as the BALB/cOLaHsd strain (O'Leary et al, 2013).

Finally, in the clinic, sub-categories of MDD have been described, including atypical depression and melancholic depression. According to the DSM-IV-TR, atypical depression is characterized by mood reactivity (patients being able to experience improved mood in response to positive events), weight gain or increase in appetite, hypersomnia, and extreme reaction to negative events, whereas melancholic depression corresponds to anhedonia or mood non-reactivity (patients cannot experience positive moods, even when good things happen), early morning wakening, excessive guilt, anorexia, or weight loss. SSRIs and also monoamine inhibitors such as phenelzine, are usually quite effective in the treatment of atypical depression, whereas tricyclic antidepressants such as imipramine are not (Stewart et al, 1998). For example, Joyce et al (2002) compared the response to nortriptyline (a tricyclic antidepressant) and to fluoxetine (a SSRI) in patients suffering from atypical depression and they found a response rate of 67% with the SSRI, whereas there was no response with nortriptyline. This is associated with some biological features such as HPA axis hypoactivity (Anisman et al, 1999; Geracioti et al, 1997). On the other hand, Joyce et al (2002) reported that in melancholic patients, nortriptyline and fluoxetine were equally effective and that melancholic patients displayed high imipramine responsivity (Quitkin et al, 1989). Furthermore, in the melancholic subtype, the stress hormones cortisol, ACTH, and CRF are hypersecreted (Wong et al, 2000), suggesting an HPA overdrive in melancholia. In most cases, animal models have been designed to model MDD rather than a sub-form of MDD. Therefore, the validity of these models could be greatly improved by providing models of MDD sub-types instead of MDD. This can be achieved in currently used models by assessing the status of the HPA axis and testing the efficacy of drugs belonging to different pharmacological classes. For example, tricyclics should be ineffective in an animal model of atypical depression.

DID CLINICAL RESEARCH FAIL TO DETECT EFFECTS?

Failure to provide adequate test situations to predict drug efficacy has not only been observed in some preclinical research, but is also true in some clinical trials designed without taking into account the predictions of the preclinical findings.

A first issue concerns the choice of the relevant dose to be used in the clinical trial. Indeed, it is well known that pharmacokinetic parameters (clearance and bioavailability) can differ across species and particularly between small mammals, such as rodents, and humans, thus an equivalent peripheral administration will induce very different plasma doses of the compound. As efficacy corresponds to a precise dose–response curve, an inappropriate plasma dose would logically induce failure to detect effects. For example, in mice, the NK2 receptor antagonist saredutant has repeatedly been tested in animal models of MDD, and it has shown effectiveness at doses of 10 and 30 mg/kg per os/per day, corresponding to a maximum plasma concentration (Cmax) ranging from 223 to 1390 ng/ml. However, clinical trials used a dose of 100 mg/day, corresponding to a very low Cmax of 28–49 ng/ml, which is five times below the minimal effective dose in rodents (Griebel and Holsboer, 2012). This may clearly explain the negative findings from the clinical trials and it is probable that doses closer to the effective dose in rodents would have elicited positive results.

Another issue is an inappropriate choice of the disease targeted by the drug. For example, according to Griebel and Holsboer (2012), three clinical phase II and phase III trials have been undertaken to investigate the effects of CRF1 receptor antagonists in anxiety disorders: two of them investigated drug effects in social anxiety disorder and the other one in generalized anxiety disorder. Unfortunately, so far they have lacked compelling efficacy, which is not surprising. To our knowledge, data from animal models did not predict effects of these drugs in models of social anxiety or of generalized anxiety (in fact, no model has yet been designed for these pathologies), but instead predicted effects in disorders characterized by a high contribution of stress in the etiology, such as post-traumatic stress disorder (Philbert et al, 2013). It is probable that these compounds would induce encouraging results in this pathology, as predicted from animal models. However, this remains to be tested in clinical trials.

Another issue concerns patient stratification as MDD is not a homogeneous disorder. The biological alterations observed in this pathology are complex, and not necessarily present in all patients. For example, some patient sub-categories exhibit altered HPA axis regulation, while others do not. The same heterogeneity can be found regarding alteration in neurotransmission, or in inflammation status. It can thus be that some MDD are related to an altered HPA axis, whereas others are due to increased levels of pro-inflammatory cytokines, decreased serotonin, etc (Tanti and Belzung, 2010). This has consequences regarding treatments used to reverse the symptomatology. It is possible to predict, eg, that only those patients who exhibit altered HPA axis regulation would benefit from treatment acting on stress hormones such as CRF1 receptor antagonists or V1b receptor antagonists. Similarly, only patients having increased pro-inflammatory cytokines would respond to a treatment targeting inflammation, and so forth. This means that stratification of patients based on available biomarkers is necessary to improve treatment response in order to identify patients according to the biological mechanism that is altered. Preclinical research might, in this case, enable researchers to define the mechanism targeted by the innovative drug; then clinical trials should select the clinical sub-population who exhibit alterations that corresponds to that particular treatment.

Finally, some theoretical models consider that MDD, as well as other psychiatric disorders, cannot be described as a unified entity but rather as a set of independent endophenotypes, each corresponding to a specific genetic determinant, to a particular biological substrate and to a specific symptomatology (Hasler and Northoff, 2011). According to this theoretical framework, MDD corresponds to three main endophenotypes: increased self-focus, increased stress sensitivity, and anhedonia. Although the first of these, self-focus, is related to increased resting state of brain activity linked to heightened glutamatergic function and decreased GABAergic neurotransmission, the third, anhedonia, is associated with decreased monoaminegic function (serotonin, dopamine, and noradrenaline), and increased stress sensitivity to altered serotonin and GABA function. Genetic determinants of these dimensions include glutamatergic-, GABAergic-, and monoamine-related genes. If each of these dimensions is independent of the others and corresponds to a specific and drugable function, it would theoretically be possible to treat each of these symptoms separately. Preclinical research frequently tests a limited number of symptomatic dimensions. Although a well-validated model of MDD requires assessing a full set of dimensions rather than a sole endpoint, some preclinical research can show that a particular mechanism is involved in specific behavior. For example, hippocampal neurogenesis has been shown to be pivotal for some aspects of depressive-like behavior, such as latency to feed in the novelty-induced suppression of feeding test, but not for other behaviors, such as anxious behavior in an open field test or resignation behavior in the forced swimming test (David et al, 2009). This means that predictions of preclinical research in some cases concern drug effects on a MDD-related endophenotype, and not on MDD as a whole construct. Translating these findings to the clinic means that clinical trials should test innovative treatments on symptomatic dimensions related to that particular endophenoytpe, rather than on patients exhibiting all dimensions of MDD. Of course, this requires at the same time designing new methods to stratify the patients according to these dimensions, rather than through classical DSM-related diagnostic features or classical depression scales. However, the precise way to achieve this goes beyond the scope of this review. Similarly, if animal research enables predictions about subcategories of MDD (such as atypical or melancholic depression) to be made, clinical research should take them into account when assessing efficacy of drugs in patients.

SOLUTIONS TO IMPROVE THE TRANSLATIONAL VALUE OF PSYCHIATRIC RESEARCH

Solutions to improve the translational value of findings in the field of psychiatric research can easily be drawn up and are summarized in Table 4. They concern the ways to improve animal models and clinical trials, and also the transition from animal models to clinical trials.

Table 4. Drawbacks of Present Translational Research and Proposed Future Directions.

Present situation	Future directions
Lack of homological validity of animal models	Study the biology and ethology of new mammalian species such as gerbils or guinea pigs
Lack of pathological validity of animal models	Use models in which animals have been rendered pathological via experimental manipulations
Lack of refinement of preclinical situations	Design models of subtypes of pathology or models of endophenotypes
Predictions from animal models not taken into account	Separate patients according to biological markers and use patients who score high on depression scales
Inappropriate dose used in the clinical trials	Calculate equivalent Cmax Use humanized mouse lines expressing human P450s enzymes

In the field of animal models, homological validity can be improved by designing new models in species that are not currently used. As homological validity is certainly higher in mammals than in other vertebrates (Belzung and Philippot, 2007), because of the proximity of the central nervous system (only mammals have a well-developed neocortex) and of some cognitive processes involved in psychiatric conditions (mainly executive functions such as flexibility and inhibition), this means that new mammals should be used in preclinical studies. Consequently, research should be undertaken to carefully investigate the biology, genetics, and ethology of these species. Other aspects of validity of the animal models can also certainly be improved, by designing models based on experimental manipulations inducing a pathological-like state, and particularly by trying to find situations that would mimic sub-categories of the disorders, or particular dimensions or endophenotypes linked to a disorder. The sex aspect should also be taken into account more. Indeed, women are more prone to stress-related psychiatric disorders such as MDD (Holden, 2005) and sex differences have already been shown in animal models of MDD as female rodents display higher immobility than males in the forced swim test, whereas they do not respond in the learned helplessness paradigm (Dalla et al, 2011). Furthermore, after chronic mild stress, the modification in sucrose intake is seen mainly in males, whereas the HPA axis dysfunction is observed mainly in females (Dalla et al, 2011). Animal models should be developed that take the higher female prevalence of MDD into account. Finally, animal models can also be greatly improved by trying to improve the translation of the clinical findings. In many cases, clinical research has established changes in some biomarkers detected via imaging or plasma assays or associated genetic polymorphisms linked to a pathological state: these alterations can also be a starting point for designing new animal models.

Pharmacokinetic concerns could also be addressed, by developing better models for inter-species differences in pharmacokinetics. This involves both clinical and preclinical research. This can be achieved in different ways. In some cases, the appropriate dosage can reasonably be extrapolated from the preclinical findings, using specific formulae to calculate the relevant doses according to the species (Lin, 1998; Martignoni et al, 2006). In other cases, this appears more complicated. Interspecies variations are mainly related to differences in the expression and catalytic activity of hepatic P450 enzymes (Caldwell, 1981; Bogaards et al, 2000), as 102 functional P450 genes have been identified in the mouse genome compared with 57 in humans (Nelson et al, 2004). A way to address this difficulty consists in using humanized mouse lines expressing human P450 enzymes to test the effectiveness of innovative targets (Cheung and Gonzalez, 2008). Interestingly, this has already been carried out in antidepressant-related research (Shen and Yu, 2009).

Clinical research could also be improved. Patients who would respond to innovative therapeutics should be more carefully chosen, particularly by focusing on patients scoring very high on MDD scales in order to avoid false negatives because of patients who were not clinically depressed, but only suffering from normal sadness, which does not respond to antidepressant therapy. Indeed, currently this is not the case and many clinical trials have been undertaken with patients scoring low on depression scales. Finally, animal models generally enable precise predictions about the therapeutic target as they describe under which conditions a given drug is effective. For example, drugs targeting the stress axis are effective when the HPA system has been challenged, such as by high stressful conditions, but not under more basal conditions. Patients should therefore be stratified according to these predictions, which would considerably increase the probability of finding positive effects in clinical trials. Finally, clinical trials should shift from a DSM-based nosology to studies based on the detection and characterization of the relevant endophenotypes that would respond to a particular treatment.

CONCLUSION

In conclusion, failure to find new therapies that would result in an effective translation between the preclinical and clinical research is mainly due to insufficient dialogue between preclinical scientists such as fundamental neuroscientists, and medical doctors such as psychiatrists. Progress in this field and therapeutic innovations would result from improved reciprocal exchanges between protagonists in these two fields. Scientific societies as well as funding agencies should encourage this dialogue by providing adequate structures, whereas scientists and practitioners should become more open minded in fully incorporating the findings from the two fields using an integrated, co-generative method. Beyond research on innovative treatments for MDD, this applies more generally to finding new drugs in the field of psychiatry, and even, in some cases, in non-psychiatric pathologies.

FUNDING AND DISCLOSURE

The author declares no conflict of interest.