- 1Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
- 2Laboratorio Neurogenética de la Conducta, Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
- 3Centro Interdisciplinario de Neurociencia UC, Pontificia Universidad Católica de Chile, Santiago, Chile
Serotonin is a biogenic amine that acts as neurotransmitter in different brain regions and is involved in complex behaviors, such as aggression or mood regulation. Thus, this amine is found in defined circuits and activates specific receptors in different target regions. Serotonin actions depend on extracellular levels of this amine, which are regulated by its synthetic enzymes and the plasma membrane transporter, SERT. Serotonin acts also as a neurotrophic signal in ontogeny and in the mature brain, controlling cell proliferation, differentiation, neurogenesis, and neural plasticity. Interestingly, early alterations in serotonergic signaling have been linked to a diversity of neurodevelopmental disorders, including autism spectrum disorder (ASD), attention deficit/hyperactivity disorder (ADHD), or mental illnesses like schizophrenia or depression. It has been proposed that given the complex and numerous actions of serotonin, animal models could better serve to study the complexity of serotonin actions, while providing insights on how hindering serotonergic signaling could contribute to brain disorders. In this mini-review, it will be examined what the general properties of serotonin acting as a neurotransmitter in animals are, and furthermore, whether it is possible that Drosophila could be used to study the contribution of this amine to neurodevelopmental and mental disorders.
Serotonin is a Biogenic Amine Acting Not Only as a Classical Neurotransmitter, But also as a Neurotrophic Factor
Biogenic amines (BAs) are a group of neuroactive molecules that contain one or more amino group, are synthesized from amino acids, and act as classical neurotransmitters, neuromodulators or neurohormones. Among them, serotonin is a BA associated with a number of physiological processes and the control of several behaviors, including sleep regulation, social rank, mood and learning. The alteration of serotonergic neural systems is associated with some neurodevelopmental and mental disorders, including anxiety, depression and ASD. However, we are far from fully understanding the complex cellular and molecular actions of amines and how the alteration of neural systems that store and release them contributes to these disorders.
As with other classical neurotransmitters, serotonin is synthetized in the cytosol in a two-step biosynthetic pathway (Figure 1). The enzyme tryptophan hydroxylase (TPH, aka TRH or TrpH) catalyzes the conversion of Tryptophan to 5-hydroxytryptophan. Then, the Dopa decarboxylase enzyme (DDC, aka AADC) catalyzes the final conversion to serotonin (5-hydroxytryptamine). Serotonin is stored in vesicle compartments located mainly in axon terminals (the presynaptic neuron). Upon the arrival of an action potential, these vesicles fuse with the plasma membrane to release their content in the extracellular space (the synaptic cleft), so that the neurotransmitters can reach specific receptors in the postsynaptic neuron to induce cellular responses. These receptors mostly belong to the superfamily of G protein-coupled metabotropic receptors. Finally, the end of the action of the neurotransmitter depends on the reuptake of the chemical from the synapse back into the presynaptic neuron, via SERT. Once inside the cytosol, the neurotransmitter can be reutilized as a neurotransmitter (is transported back into a synaptic vesicle by the vesicle monoamine transporter, VMAT), or it can be metabolized by the MAO enzyme (Daubert and Condron, 2010). The two biosynthetic enzymes and SERT help define the neurochemical identity of a neuron as serotonergic (Figure 1).
Figure 1. The serotonergic synapse. Serotonin is synthetized from amino acid tryptophan. The first step is the hydroxylation of tryptophan carried out by TPH, the limiting enzyme in this process. DDC catalyzes the final step. VMAT transport serotonin from the cytosol into the vesicles. After an action potential reaches the terminal, serotonin is released from vesicles, and the neurotransmitter is able to bind and activate specific receptors in the same neuron (presynaptic) or in other neurons (postsynaptic). SERT reuptakes serotonin back to the cytosol in the presynaptic neuron. The amine can be used again as a neurotransmitter or alternatively can be degraded by MAO-A.
Interestingly, serotonin also plays a critical role as a signaling/trophic molecule early in development (Gaspar et al., 2003; Daubert and Condron, 2010; Bonnin and Levitt, 2011). Actually, when no cells from the developing organism are able to synthetize or release serotonin, some placental cells transiently acquire the ability to synthetize and release serotonin, which can then reach the embryo (Bonnin and Levitt, 2011). Earlier, the first source for serotonergic information for the rodent embryo is the maternal blood (Koren et al., 1966). In addition, neurons that in the rodent mature brain are not serotonergic (e.g., thalamic neurons), transiently express VMAT and SERT early in development (by E13) in order to accumulate and release serotonin at later times (Lebrand et al., 1996; Cases et al., 1998). All these findings support the idea that this amine is required early in development and that non-embryonic sources of this BA are crucial to fulfill this need. Later in development, the embryonic neurons of the Raphe Nucleus, the main serotonergic nucleus in vertebrates, acquire the ability to synthetize and release serotonin, and the fetus becomes independent of the exogenous supply of the amine. It is possible to find the first serotonergic neurons in 5-week old human embryos, earlier than other aminergic populations (Sundstrom et al., 1993). A similar situation—serotonin neurons established a little earlier than dopaminergic cells—is observed in rodents. Thus, it is possible to propose a dynamic change in serotonin levels in the central nervous system (CNS) over development (Figure 2; Suri et al., 2015). Importantly, it has been postulated that interruption or alteration of the serotonergic information reaching the embryo or fetus, is implicated in a higher incidence for several brain disorders including ASD, major depressive disorder (MDD), ADHD, anxiety, and schizophrenia, among others (Schain and Freedman, 1961; Bleich et al., 1988; Caspi et al., 2003; Hranilovic et al., 2007; Olivier et al., 2011). This mini review intends to discuss the contribution of serotonin to the onset and progression of behavioral traits common to several neuropsychiatric diseases. However, particular attention is placed on ASD, given that several evidences support that this amine plays a role in this particular disorder.
Figure 2. Serotonin dynamics on development. The upper panel presents changes in serotonin levels (green traces) in rodents and its sources. As a comparison, it presented dopamine levels (red traces). In lower panel, it compared developmental stages in rodents and humans, as serotonin levels change over development.
Alteration in Serotonin Levels Associated With ASD and Other Brain Disorders
It has been reported that about 30% of children diagnosed with ASD show higher levels of serotonin in the blood as compared to control children (Gabriele et al., 2014). The increased serotonemia seems to be unrelated to any specific genetic alteration linked to this disorder. Actually, only about 15–20% of ASD cases are genetic; among the alterations associated with ASD, it has been reported mutations in specific genes (e.g., Shank or Neuroliguin 3), gene copy number variation, and chromosomal disorders (Miles, 2011). Increase in blood serotonin concentration is also detected in schizophrenic patients, while hyposerotonemia has been described in people diagnosed with depression (Muck-Seler et al., 2004). Most of these disorders are classified as neurodevelopmental disorders, in that genetic or genomic alterations underlying these conditions are present as early as the embryo develops and/or over critical time windows in the development of brain neural circuits (Suri et al., 2015).
Similarly, it has been proposed that environmental factors affecting serotonergic signaling (e.g., exposure to drugs affecting the serotonergic system) could play a role in neurodevelopmental disorders. It has been shown in rodent models that these chemicals could be particularly effective at hindering serotonergic signaling early over development, since the blood–brain barrier (BBB) becomes fully functional only by E15 (Ben-Zvi et al., 2014). Therefore, at earlier time points there is no obstacle that stops these chemicals from acting at targets such as serotonin receptors or SERT, affecting serotonergic signaling both in the periphery and centrally. SERT plays a crucial role as the major regulator of serotonin homeostasis and over recent years this transporter has been the focus of several studies (reviewed in Muller et al., 2016). Importantly, several environmental stimuli modifying SERT operation and some mutations affecting the SERT gene have been associated to brain disorders, including ASD.
Gene and Environmental Alterations Affecting SERT, Linked to Brain Disorders
Mutations in SERT Linked to Neurodevelopmental and Mental Disorders
Several modifications in the gene coding for SERT have been associated to different brain disorders, including obsessive-compulsive disorder and Asperger syndrome/ASD (Kilic et al., 2003; Prasad et al., 2009). Some are located in the untranslated regions (UTR) of SERT gene, particularly the promoter, resulting in decreased transported expression. Reduced SERT expression could underlie the increased extracellular serotonin levels found in ASD and other disorders. Interestingly, some of the SERT mutations described (e.g., Ile425Leu, Phe465Leu, and Leu550Val) are gain-of-function mutations that increase the activity of the transporter, but hinder SERT insertion in the plasma membrane. Thus, reduced localization of SERT in the membrane would result in reduced serotonin uptake and consequently hyperserotonemia (Prasad et al., 2009), as it is reported in ASD (Gabriele et al., 2014).
Environmental Manipulations Affecting SERT and Linked to Brain Disorders: Clinical Studies
It is estimated that about 10% of pregnant women are prescribed antidepressant drugs for treatment of clinical depression and anxiety (Cooper et al., 2007; Huybrechts et al., 2013). A big proportion of antidepressant drugs are Serotonin Selective Reuptake Inhibitors (SSRIs), whose molecular target is SERT, and include fluoxetine and citalopram (Patil et al., 2011). These chemicals are able to cross cell membranes and tissues like the placenta and the BBB (Heikkinen et al., 2002), which also explains why that they can be found in the breast milk (Hendrick et al., 2001). The focus of this mini-review is on discussing how manipulations affecting SERT result in brain-associated deficits, but several reports have described that prenatal exposure to SSRIs is associated to increased risk for preterm delivery (Davis et al., 2007; Maschi et al., 2008; Reis and Kallen, 2010; Huang et al., 2014), low birth weight (Oberlander et al., 2006; Reis and Kallen, 2010; Huang et al., 2014), and cardiac defects (Kallen, 2007; Pedersen et al., 2009; Kornum et al., 2010). This is consistent with the idea that serotonin plays key roles in the development of the entire organism.
A number of reports have argued that prenatal exposure of SSRIs is associated to higher incidence of ASD (e.g., Boukhris et al., 2016). Similar studies have shown a positive correlation between prenatal SSRI exposure and ADHD (Figueroa, 2010; Clements et al., 2015). Only one study (Malm et al., 2016) has assessed depression and prenatal exposure to SSRIs, and reported a positive correlation, as well. On the other hand, a different set of studies has argued that no association between prenatal exposure to SSRIs and ASD or ADHD exists (e.g., Castro et al., 2016). Interestingly, this and other studies (Mezzacappa et al., 2017) proposed that a relevant factor explaining the higher incidence for ASD is the medical condition of the mother—i.e., maternal depression. However, Croen et al. (2011) determined no increase in the risk of ASD in the offspring of mothers with a history of depression, an effect that did not depend on prenatal consumption of SSRI. All these (and other) studies (Kaplan et al., 2017; Maloney et al., 2018; Halvorsen et al., 2019) show that it is not clear whether the use of SSRIs results in increased incidence for ASD, ADHD or any other disorder. One additional problem with these studies is the difficulty to access and study larger populations (as discussed in Millard et al., 2017). In spite of these considerations, it is possible to argue that SSRIs could reach the embryo and neonates and possibly affect the developing central nervous system in a way not fully understood but that could lead to brain disorders. In reviewing the available information on this issue, authors have come to the conclusion that relevant information to further support or discard the contribution of SSRIs to these disorders could be obtained from animal models (Pedersen, 2015).
Environmental Manipulations Affecting SERT and Linked to Brain Disorders: Animal Models
When modeling human disorders in animals, researchers have focused on replicating one or few specific behavioral features, although it has to be considered that some features are difficult to recreate in animal models (e.g., hallucinations or psychosis) (Anderson and Adolphs, 2014). Thus, for instance, ASD animal models usually recreate repetitive behaviors or the impaired social interaction observed in this disorder (Yenkoyan et al., 2017). An additional issue to be considered when modeling these disorders is that it is estimated that postnatal day 7 in rodents is equivalent to time of birth in humans (Figure 2). This means that a postnatal manipulation in rodents could be equivalent to a prenatal one in humans (Clancy et al., 2007). In spite of these caveats, the key impact of animal models is on advancing our understanding of these disorders at the cellular, molecular, neurochemical and/or circuit levels.
In particular, very few studies have directly assessed the possibility that antenatal or perinatal exposure to SSRIs affects incidence of ASD-like features in animals. For instance, Sprowles et al. (2016) studied the effects of perinatal exposure to citalopram in rats. Results obtained demonstrate several autistic-like behavioral traits in the offspring (repetitive behaviors, impaired social behavior), which are consistent with the concurrent description of anatomical alterations in Raphe and in cortical structure and physiology (Darling et al., 2011; Simpson et al., 2011). These findings argue in favor of the idea that prenatal SSRI exposure increases the incidence of ASD. A different study reported that perinatal inhibition of MAO, which could be considered a manipulation that like SSRIs increases the availability of serotonin, results in alteration of serotonin metabolism and hyperserotonemia (Hranilovic et al., 2011), and an increased incidence of ASD features (Davis et al., 2008). There is not much information on how perinatal exposure to SSRIs affects incidence for other disorders, and the little data available is contradictory. For instance, while one report supports the idea that perinatal exposure to SSRIs exacerbates depressive-like behaviors in a strain of rats prone to anxiety and depression (Glover et al., 2015), other works propose that perinatal SSRIs partially reverses some of these behavioral traits (Rayen et al., 2011; Boulle et al., 2016), while another study shows no effect of the treatment (Zohar et al., 2016). Unfortunately, these studies have not been consistent with the SSRI used, doses of these chemicals, the developmental age at which interventions begin, or the gender of the animals studied, among other factors. Thus, it remains an open question whether exposure to SSRIs over ontogeny contributes to brain disorders.
On the other hand, increased serotonin levels observed in SERT knockout mice have been associated with abnormal development of thalamocortical axons and somatosensory cortical barrels (Persico et al., 2001; Gaspar et al., 2003), and also anxiety and depressive-like behaviors (Ansorge et al., 2004).
Drosophila as Animal Model for the Study of Neurodevelopmental and Mental Disorders
The vinegar fly Drosophila melanogaster has served as a workhorse in various fields in biology, in part based on the diverse genetic toolbox available, as discussed elsewhere in this special issue. Remarkably, Drosophila exhibits a complex behavioral repertoire. For instance, one of the best-studied social behaviors in flies is courtship behavior: male flies court a female animal in order to mate, a behavior that is decreased after males have experienced rejection by a fertilized female (Siegel and Hall, 1979; Kamyshev et al., 1999). New social paradigms have been described including the study of clustering behavior observed in groups of flies (Simon et al., 2012). Recent studies have also shown that flies may exhibit attention-like processes (van Swinderen and Flores, 2007), goal-driven behavioral adaptations (Pick and Strauss, 2005) and decision making (Zhang et al., 2007). Drosophila has been also been used as a model organism to study aggression (Baier et al., 2002) and addiction (Wolf, 1999).
In recent years, it has become evident that it is possible to model neurodevelopmental disorders in Drosophila, aiming at reproducing some of the key behavioral traits associated with these illnesses. One of the best-studied models for neurodevelopmental disorders in Drosophila is the ASD model based on mutations in the FMR1 gene (van Alphen and van Swinderen, 2013). This is a gene associated with fragile X syndrome, a disorder linked to intellectual disability and where a high incidence for ASD is reported. Drosophila FMR1 mutants exhibit reduced memory in a courtship social paradigm (McBride et al., 2005) and repetitive grooming, which is reminiscent of recurring behaviors observed in ASD (Tauber et al., 2011). In addition, brain and circuit organization is affected in fly FMR1 mutants (Siller and Broadie, 2011), consistent with structural changes in axonal and dendritic branches, a feature shared by mice FMR1 mutants (Zhang et al., 2001; Zhang and Broadie, 2005; Callan and Zarnescu, 2011; van Alphen and van Swinderen, 2013).
Drosophila as an Animal Model for Studying the Contribution of Serotonin to Neurodevelopmental and Mental Disorders?
The molecular mechanisms involved in serotonin biosynthesis are evolutionary conserved, and in Drosophila, they begin with the hydroxylation of the tryptophan amino acid by TPH (Coleman and Neckameyer, 2005). Likewise, it has been described a Drosophila SERT (Giang et al., 2011; Hidalgo et al., 2017) and one VMAT (Greer et al., 2005) that share structural and functional similarities to that of vertebrates. Five serotonin receptors have been described in the Drosophila genome, all of them classified as metabotropic. Thus, the Drosophila serotonergic system is highly conserved as compared to its mammalian counterpart (Kasture et al., 2018). Importantly, it is already known that serotonin contributes to several behaviors in Drosophila including locomotion, feeding behavior, circadian activity, sleep regulation, and aggression (Silva et al., 2014; Kasture et al., 2018; Bacque-Cazenave et al., 2020).
Out of the approximately 100,000 neurons in the fly brain, about 80 cells are identified as serotonergic neurons, organized in 11 clusters (reviewed in Kasture et al., 2018)). Valles and White (1988), by using immunochemistry, described the serotonergic neural system in the larval and adult CNS and also described how serotonin levels change over development. The first detection of serotonin-positive cells is in 16–20 h Drosophila embryos. The detection of immunopositive serotonin cells before fly CNS is fully developed and supports the idea that serotonin could play a role as developmental signaling molecule, as in vertebrates (Lundell and Hirsh, 1994). In this regard, it has been suggested that serotonin modulates the development of serotonergic varicosities in the fly CNS (Sykes and Condron, 2005). Consistent with this, mutants in DOPA decarboxylase which are associated with reduced amine levels exhibit alterations in branch spacing (Budnik et al., 1989). Conversely, overexpression of TPH in Drosophila promotes higher levels of cytoplasmic serotonin, which is related with abnormalities in neurite morphology in larval and adult fly neuropils (Daubert et al., 2010). Moreover, altering serotonin synthesis in early embryos results in impaired anatomy and functioning of the feeding circuit in larvae, a phenotype that can be reversed as serotonin levels are rescued (Neckameyer, 2010). All these findings suggest that, as in mammals, hindering serotonergic signaling at early developmental stages does have implications for the establishment of mature circuits that underlie behaviors. However, the information on this issue is limited. New research should ask whether pharmacological or genetic manipulations tampering with serotonergic components (SERT, biosynthetic enzymes or any of the receptors), affect the organization of brain circuits and consequently, result in behavioral features associated with neurodevelopmental or mental disorders.
Although the literature has not thoroughly explored this, there are some reports supporting this idea. For instance, centrophobism, a behavior in which flies avoid the center of an arena, is considered to be an anxiety-like behavior in flies. Different genetic or pharmacological manipulations that affect SERT functioning affect centrophobism in Drosophila (Mohammad et al., 2016; Hidalgo et al., 2017). In particular, we showed that feeding flies an amphetamine derivative that stimulates serotonin release decreases centrophobism, a similar result observed in animals mutant for SERT (Hidalgo et al., 2017). In addition, a recent work from our group showed deficits in social behavior and locomotion in a Drosophila mutant for the dysbindin gene, an animal model for schizophrenia. Interestingly, the phenotypes observed in the dysbindin mutants seem to depend at least in part on altered serotonergic signaling (Hidalgo et al., 2020).
Demonstrating that serotonin signaling is affected in fly models for brain disorders, is not only relevant for advancing our understanding of the underpinnings of these illnesses, it also opens up the possibility to carry out a high-throughput search for new chemicals that affect specific phenotypes in flies, which could eventually lead to new therapeutic tools for these disorders (Nichols, 2006; Roy et al., 2020).
A better understanding of serotonin dynamics over development and how serotonergic deficiency could be involved in mental disorders could provide insights in the search for new treatments for these disorders, a path in which Drosophila could play an important role.
Author Contributions
AC-O and JC wrote this manuscript. Both authors contributed to the article and approved the submitted version.
Funding
AC-O received a doctoral fellowship (446128) from CONACyT (Mexico) and Alianza del Pacífico-AGCID.
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.
Acknowledgments
We thank the Campusano Lab for comments on the idea of this mini review.
References
Anderson, D. J., and Adolphs, R. (2014). A framework for studying emotions across species. Cell 157, 187–200. doi: 10.1016/j.cell.2014.03.003
Ansorge, M. S., Zhou, M., Lira, A., Hen, R., and Gingrich, J. A. (2004). Early-life blockade of the 5-HT transporter alters emotional behavior in adult mice. Science 306, 879–881. doi: 10.1126/science.1101678
Bacque-Cazenave, J., Bharatiya, R., Barriere, G., Delbecque, J. P., Bouguiyoud, N., Di Giovanni, G., et al. (2020). Serotonin in animal cognition and behavior. Int. J. Mol. Sci. 21, 1649.
Baier, A., Wittek, B., and Brembs, B. (2002). Drosophila as a new model organism for the neurobiology of aggression? J. Exp. Biol. 205(Pt 9), 1233–1240.
Ben-Zvi, A., Lacoste, B., Kur, E., Andreone, B. J., Mayshar, Y., Yan, H., et al. (2014). Mfsd2a is critical for the formation and function of the blood-brain barrier. Nature 509, 507–511. doi: 10.1038/nature13324
Bleich, A., Brown, S. L., Kahn, R., and van Praag, H. M. (1988). The role of serotonin in schizophrenia. Schizophr. Bull. 14, 297–315. doi: 10.1093/schbul/14.2.297
Bonnin, A., and Levitt, P. (2011). Fetal, maternal, and placental sources of serotonin and new implications for developmental programming of the brain. Neuroscience 197, 1–7. doi: 10.1016/j.neuroscience.2011.10.005
Boukhris, T., Sheehy, O., Mottron, L., and Berard, A. (2016). Antidepressant use during pregnancy and the risk of autism spectrum disorder in children. JAMA Pediatr. 170, 117–124. doi: 10.1001/jamapediatrics.2015.3356
Boulle, F., Pawluski, J. L., Homberg, J. R., Machiels, B., Kroeze, Y., Kumar, N., et al. (2016). Prenatal stress and early-life exposure to fluoxetine have enduring effects on anxiety and hippocampal BDNF gene expression in adult male offspring. Dev. Psychobiol. 58, 427–438. doi: 10.1002/dev.21385
Budnik, V., Wu, C. F., and White, K. (1989). Altered branching of serotonin-containing neurons in Drosophila mutants unable to synthesize serotonin and dopamine. J. Neurosci. 9, 2866–2877. doi: 10.1523/jneurosci.09-08-02866.1989
Callan, M. A., and Zarnescu, D. C. (2011). Heads-up: new roles for the fragile X mental retardation protein in neural stem and progenitor cells. Genesis 49, 424–440. doi: 10.1002/dvg.20745
Cases, O., Lebrand, C., Giros, B., Vitalis, T., De Maeyer, E., Caron, M. G., et al. (1998). Plasma membrane transporters of serotonin, dopamine, and norepinephrine mediate serotonin accumulation in atypical locations in the developing brain of monoamine oxidase A knock-outs. J. Neurosci. 18, 6914–6927. doi: 10.1523/jneurosci.18-17-06914.1998
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., et al. (2003). Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386–389. doi: 10.1126/science.1083968
Castro, V. M., Kong, S. W., Clements, C. C., Brady, R., Kaimal, A. J., Doyle, A. E., et al. (2016). Absence of evidence for increase in risk for autism or attention-deficit hyperactivity disorder following antidepressant exposure during pregnancy: a replication study. Transl. Psychiatry 6:e708. doi: 10.1038/tp.2015.190
Clancy, B., Finlay, B. L., Darlington, R. B., and Anand, K. J. (2007). Extrapolating brain development from experimental species to humans. Neurotoxicology 28, 931–937. doi: 10.1016/j.neuro.2007.01.014
Clements, C. C., Castro, V. M., Blumenthal, S. R., Rosenfield, H. R., Murphy, S. N., Fava, M., et al. (2015). Prenatal antidepressant exposure is associated with risk for attention-deficit hyperactivity disorder but not autism spectrum disorder in a large health system. Mol. Psychiatry 20, 727–734. doi: 10.1038/mp.2014.90
Coleman, C. M., and Neckameyer, W. S. (2005). Serotonin synthesis by two distinct enzymes in Drosophila melanogaster. Arch. Insect Biochem. Physiol. 59, 12–31. doi: 10.1002/arch.20050
Cooper, W. O., Willy, M. E., Pont, S. J., and Ray, W. A. (2007). Increasing use of antidepressants in pregnancy. Am. J. Obstet. Gynecol. 196:544 e1–5.
Croen, L. A., Grether, J. K., Yoshida, C. K., Odouli, R., and Hendrick, V. (2011). Antidepressant use during pregnancy and childhood autism spectrum disorders. Arch. Gen. Psychiatry 68, 1104–1112. doi: 10.1001/archgenpsychiatry.2011.73
Darling, R. D., Alzghoul, L., Zhang, J., Khatri, N., Paul, I. A., Simpson, K. L., et al. (2011). Perinatal citalopram exposure selectively increases locus ceruleus circuit function in male rats. J. Neurosci. 31, 16709–16715. doi: 10.1523/jneurosci.3736-11.2011
Daubert, E. A., and Condron, B. G. (2010). Serotonin: a regulator of neuronal morphology and circuitry. Trends Neurosci. 33, 424–434. doi: 10.1016/j.tins.2010.05.005
Daubert, E. A., Heffron, D. S., Mandell, J. W., and Condron, B. G. (2010). Serotonergic dystrophy induced by excess serotonin. Mol. Cell. Neurosci. 44, 297–306. doi: 10.1016/j.mcn.2010.04.001
Davis, L. K., Hazlett, H. C., Librant, A. L., Nopoulos, P., Sheffield, V. C., Piven, J., et al. (2008). Cortical enlargement in autism is associated with a functional VNTR in the monoamine oxidase A gene. Am. J. Med. Genet. B Neuropsychiatr. Genet. 147B, 1145–1151. doi: 10.1002/ajmg.b.30738
Davis, R. L., Rubanowice, D., McPhillips, H., Raebel, M. A., Andrade, S. E., Smith, D., et al. (2007). Risks of congenital malformations and perinatal events among infants exposed to antidepressant medications during pregnancy. Pharmacoepidemiol. Drug Saf. 16, 1086–1094. doi: 10.1002/pds.1462
Figueroa, R. (2010). Use of antidepressants during pregnancy and risk of attention-deficit/hyperactivity disorder in the offspring. J. Dev. Behav. Pediatr. 31, 641–648. doi: 10.1097/dbp.0b013e3181e5ac93
Gabriele, S., Sacco, R., and Persico, A. M. (2014). Blood serotonin levels in autism spectrum disorder: a systematic review and meta-analysis. Eur. Neuropsychopharmacol. 24, 919–929. doi: 10.1016/j.euroneuro.2014.02.004
Gaspar, P., Cases, O., and Maroteaux, L. (2003). The developmental role of serotonin: news from mouse molecular genetics. Nat. Rev. Neurosci. 4, 1002–1012. doi: 10.1038/nrn1256
Giang, T., Ritze, Y., Rauchfuss, S., Ogueta, M., and Scholz, H. (2011). The serotonin transporter expression in Drosophila melanogaster. J. Neurogenet. 25, 17–26. doi: 10.3109/01677063.2011.553002
Glover, M. E., Pugh, P. C., Jackson, N. L., Cohen, J. L., Fant, A. D., Akil, H., et al. (2015). Early-life exposure to the SSRI paroxetine exacerbates depression-like behavior in anxiety/depression-prone rats. Neuroscience 284, 775–797. doi: 10.1016/j.neuroscience.2014.10.044
Greer, C. L., Grygoruk, A., Patton, D. E., Ley, B., Romero-Calderon, R., Chang, H.-Y., et al. (2005). A splice variant of the Drosophila vesicular monoamine transporter contains a conserved trafficking domain and functions in the storage of dopamine, serotonin, and octopamine. J. Neurobiol. 64, 239–258. doi: 10.1002/neu.20146
Halvorsen, A., Hesel, B., Østergaard, S. D., and Danielsen, A. A. (2019). In utero exposure to selective serotonin reuptake inhibitors and development of mental disorders: a systematic review and meta-analysis. Acta Psychiatr. Scand. 139, 493–507. doi: 10.1111/acps.13030
Heikkinen, T., Ekblad, U., Kero, P., Ekblad, S., and Laine, K. (2002). Citalopram in pregnancy and lactation. Clin. Pharmacol. Ther. 72, 184–191. doi: 10.1067/mcp.2002.126181
Hendrick, V., Stowe, Z. N., Altshuler, L. L., Mintz, J., Hwang, S., Hostetter, A., et al. (2001). Fluoxetine and norfluoxetine concentrations in nursing infants and breast milk. Biol. Psychiatry 50, 775–782. doi: 10.1016/s0006-3223(01)01197-0
Hidalgo, S., Castro, C., Zarate, R. V., Valderrama, B. P., Hodge, J. J. L., and Campusano, J. M. (2020). The behavioral and neurochemical characterization of a Drosophila dysbindin mutant supports the contribution of serotonin to schizophrenia negative symptoms. Neurochem. Int. 138:104753. doi: 10.1016/j.neuint.2020.104753
Hidalgo, S., Molina-Mateo, D., Escobedo, P., Zarate, R. V., Fritz, E., Fierro, A., et al. (2017). Characterization of a novel Drosophila SERT mutant: insights on the contribution of the serotonin neural system to behaviors. ACS Chem. Neurosci. 8, 2168–2179. doi: 10.1021/acschemneuro.7b00089
Hranilovic, D., Blazevic, S., Ivica, N., Cicin-Sain, L., and Oreskovic, D. (2011). The effects of the perinatal treatment with 5-hydroxytryptophan or tranylcypromine on the peripheral and central serotonin homeostasis in adult rats. Neurochem. Int. 59, 202–207. doi: 10.1016/j.neuint.2011.05.003
Hranilovic, D., Bujas-Petkovic, Z., Vragovic, R., Vuk, T., Hock, K., and Jernej, B. (2007). Hyperserotonemia in adults with autistic disorder. J. Autism Dev. Disord. 37, 1934–1940. doi: 10.1007/s10803-006-0324-6
Huang, H., Coleman, S., Bridge, J. A., Yonkers, K., and Katon, W. (2014). A meta-analysis of the relationship between antidepressant use in pregnancy and the risk of preterm birth and low birth weight. Gen. Hosp. Psychiatry 36, 13–18. doi: 10.1016/j.genhosppsych.2013.08.002
Huybrechts, K. F., Palmsten, K., Mogun, H., Kowal, M., Avorn, J., Setoguchi-Iwata, S., et al. (2013). National trends in antidepressant medication treatment among publicly insured pregnant women. Gen. Hosp. Psychiatry 35, 265–271. doi: 10.1016/j.genhosppsych.2012.12.010
Kallen, B. (2007). The safety of antidepressant drugs during pregnancy. Expert Opin. Drug Saf. 6, 357–370. doi: 10.1517/14740338.6.4.357
Kamyshev, N. G., Iliadi, K. G., and Bragina, J. V. (1999). Drosophila conditioned courtship: two ways of testing memory. Learn. Mem. 6, 1–20.
Kaplan, Y. C., Keskin-Arslan, E., Acar, S., and Sozmen, K. (2017). Maternal SSRI discontinuation, use, psychiatric disorder and the risk of autism in children: a meta-analysis of cohort studies. Br. J. Clin. Pharmacol. 83, 2798–2806. doi: 10.1111/bcp.13382
Kasture, A. S., Hummel, T., Sucic, S., and Freissmuth, M. (2018). Big lessons from tiny flies: Drosophila melanogaster as a model to explore dysfunction of dopaminergic and serotonergic neurotransmitter systems. Int. J. Mol. Sci. 19:1788. doi: 10.3390/ijms19061788
Kilic, F., Murphy, D. L., and Rudnick, G. (2003). A human serotonin transporter mutation causes constitutive activation of transport activity. Mol. Pharmacol. 64, 440–446. doi: 10.1124/mol.64.2.440
Koren, Z., Pfeifer, Y., and Sulman, F. G. (1966). Distribution and placental transfer of C-14-serotonin in pregnant rats. Am. J. Obstet. Gynecol. 95, 290–295. doi: 10.1016/0002-9378(66)90182-7
Kornum, J. B., Nielsen, R. B., Pedersen, L., Mortensen, P. B., and Norgaard, M. (2010). Use of selective serotonin-reuptake inhibitors during early pregnancy and risk of congenital malformations: updated analysis. Clin. Epidemiol. 2, 29–36. doi: 10.2147/clep.s9256
Lebrand, C., Cases, O., Adelbrecht, C., Doye, A., Alvarez, C., El Mestikawy, S., et al. (1996). Transient uptake and storage of serotonin in developing thalamic neurons. Neuron 17, 823–835. doi: 10.1016/s0896-6273(00)80215-9
Lundell, M. J., and Hirsh, J. (1994). Temporal and spatial development of serotonin and dopamine neurons in the Drosophila CNS. Dev. Biol. 165, 385–396. doi: 10.1006/dbio.1994.1261
Malm, H., Brown, A. S., Gissler, M., Gyllenberg, D., Hinkka-Yli-Salomaki, S., McKeague, I. W., et al. (2016). Gestational exposure to selective serotonin reuptake inhibitors and offspring psychiatric disorders: a national register-based study. J. Am. Acad. Child Adolesc. Psychiatry 55, 359–366. doi: 10.1016/j.jaac.2016.02.013
Maloney, S. E., Akula, S., Rieger, M. A., McCullough, K. B., Chandler, K., Corbett, A. M., et al. (2018). Examining the reversibility of long-term behavioral disruptions in progeny of maternal SSRI exposure. eNeuro 5:ENEURO.0120-18.2018.
Maschi, S., Clavenna, A., Campi, R., Schiavetti, B., Bernat, M., and Bonati, M. (2008). Neonatal outcome following pregnancy exposure to antidepressants: a prospective controlled cohort study. BJOG 115, 283–289. doi: 10.1111/j.1471-0528.2007.01518.x
McBride, S. M., Choi, C. H., Wang, Y., Liebelt, D., Braunstein, E., Ferreiro, D., et al. (2005). Pharmacological rescue of synaptic plasticity, courtship behavior, and mushroom body defects in a Drosophila model of fragile X syndrome. Neuron 45, 753–764. doi: 10.1016/j.neuron.2005.01.038
Mezzacappa, A., Lasica, P. A., Gianfagna, F., Cazas, O., Hardy, P., Falissard, B., et al. (2017). Risk for autism spectrum disorders according to period of prenatal antidepressant exposure: a systematic review and meta-analysis. JAMA Pediatr. 171, 555–563. doi: 10.1001/jamapediatrics.2017.0124
Miles, J. H. (2011). Autism spectrum disorders–a genetics review. Genet. Med. 13, 278–294. doi: 10.1097/gim.0b013e3181ff67ba
Millard, S. J., Weston-Green, K., and Newell, K. A. (2017). The effects of maternal antidepressant use on offspring behaviour and brain development: implications for risk of neurodevelopmental disorders. Neurosci. Biobehav. Rev. 80, 743–765. doi: 10.1016/j.neubiorev.2017.06.008
Mohammad, F., Aryal, S., Ho, J., Stewart, J. C., Norman, N. A., Tan, T. L., et al. (2016). Ancient anxiety pathways influence Drosophila defense behaviors. Curr. Biol. 26, 981–986. doi: 10.1016/j.cub.2016.02.031
Muck-Seler, D., Pivac, N., Mustapic, M., Crncevic, Z., Jakovljevic, M., and Sagud, M. (2004). Platelet serotonin and plasma prolactin and cortisol in healthy, depressed and schizophrenic women. Psychiatry Res. 127, 217–226. doi: 10.1016/j.psychres.2004.04.001
Muller, C. L., Anacker, A. M., and Veenstra-VanderWeele, J. (2016). The serotonin system in autism spectrum disorder: from biomarker to animal models. Neuroscience 321, 24–41. doi: 10.1016/j.neuroscience.2015.11.010
Neckameyer, W. S. (2010). A trophic role for serotonin in the development of a simple feeding circuit. Dev. Neurosci. 32, 217–237. doi: 10.1159/000304888
Nichols, C. D. (2006). Drosophila melanogaster neurobiology, neuropharmacology, and how the fly can inform central nervous system drug discovery. Pharmacol. Ther. 112, 677–700. doi: 10.1016/j.pharmthera.2006.05.012
Oberlander, T. F., Warburton, W., Misri, S., Aghajanian, J., and Hertzman, C. (2006). Neonatal outcomes after prenatal exposure to selective serotonin reuptake inhibitor antidepressants and maternal depression using population-based linked health data. Arch. Gen. Psychiatry 63, 898–906. doi: 10.1001/archpsyc.63.8.898
Olivier, B., Chan, J. S., Snoeren, E. M., Olivier, J. D., Veening, J. G., Vinkers, C. H., et al. (2011). Differences in sexual behaviour in male and female rodents: role of serotonin. Curr. Top. Behav. Neurosci. 8, 15–36. doi: 10.1007/7854_2010_116
Patil, A. S., Kuller, J. A., and Rhee, E. H. (2011). Antidepressants in pregnancy: a review of commonly prescribed medications. Obstet. Gynecol. Surv. 66, 777–787. doi: 10.1097/ogx.0b013e31823e0cbf
Pedersen, L. H. (2015). Prenatal antidepressant exposure and childhood autism spectrum disorders: cause for concern? Paediatr. Drugs 17, 443–448. doi: 10.1007/s40272-015-0141-5
Pedersen, L. H., Henriksen, T. B., Vestergaard, M., Olsen, J., and Bech, B. H. (2009). Selective serotonin reuptake inhibitors in pregnancy and congenital malformations: population based cohort study. BMJ 339:b3569. doi: 10.1136/bmj.b3569
Persico, A. M., Mengual, E., Moessner, R., Hall, F. S., Revay, R. S., Sora, I., et al. (2001). Barrel pattern formation requires serotonin uptake by thalamocortical afferents, and not vesicular monoamine release. J. Neurosci. 21, 6862–6873. doi: 10.1523/jneurosci.21-17-06862.2001
Pick, S., and Strauss, R. (2005). Goal-driven behavioral adaptations in gap-climbing Drosophila. Curr. Biol. 15, 1473–1478. doi: 10.1016/j.cub.2005.07.022
Prasad, H. C., Steiner, J. A., Sutcliffe, J. S., and Blakely, R. D. (2009). Enhanced activity of human serotonin transporter variants associated with autism. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 163–173. doi: 10.1098/rstb.2008.0143
Rayen, I., van den Hove, D. L., Prickaerts, J., Steinbusch, H. W., and Pawluski, J. L. (2011). Fluoxetine during development reverses the effects of prenatal stress on depressive-like behavior and hippocampal neurogenesis in adolescence. PLoS One 6:e24003. doi: 10.1371/journal.pone.0024003
Reis, M., and Kallen, B. (2010). Delivery outcome after maternal use of antidepressant drugs in pregnancy: an update using Swedish data. Psychol. Med. 40, 1723–1733. doi: 10.1017/s0033291709992194
Roy, B., Han, J., Hope, K. A., Peters, T. L., Palmer, G., and Reiter, L. T. (2020). An unbiased drug screen for seizure suppressors in duplication 15q syndrome reveals 5-HT1A and dopamine pathway activation as potential therapies. Biol. Psychiatry 88, 698–709. doi: 10.1016/j.biopsych.2020.03.021
Schain, R. J., and Freedman, D. X. (1961). Studies on 5-hydroxyindole metabolism in autistic and other mentally retarded children. J. Pediatr. 58, 315–320. doi: 10.1016/s0022-3476(61)80261-8
Siegel, R. W., and Hall, J. C. (1979). Conditioned responses in courtship behavior of normal and mutant Drosophila. Proc. Natl. Acad. Sci. U.S.A. 76, 3430–3434. doi: 10.1073/pnas.76.7.3430
Siller, S. S., and Broadie, K. (2011). Neural circuit architecture defects in a Drosophila model of Fragile X syndrome are alleviated by minocycline treatment and genetic removal of matrix metalloproteinase. Dis. Model. Mech. 4, 673–685. doi: 10.1242/dmm.008045
Silva, B., Goles, N. I., Varas, R., and Campusano, J. M. (2014). Serotonin receptors expressed in Drosophila mushroom bodies differentially modulate larval locomotion. PLoS One 9:e89641. doi: 10.1371/journal.pone.0089641
Simon, A. F., Chou, M. T., Salazar, E. D., Nicholson, T., Saini, N., Metchev, S., et al. (2012). A simple assay to study social behavior in Drosophila: measurement of social space within a group. Genes Brain Behav. 11, 243–252. doi: 10.1111/j.1601-183x.2011.00740.x
Simpson, K. L., Weaver, K. J., de Villers-Sidani, E., Lu, J. Y., Cai, Z., Pang, Y., et al. (2011). Perinatal antidepressant exposure alters cortical network function in rodents. Proc. Natl. Acad. Sci. U.S.A. 108, 18465–18470. doi: 10.1073/pnas.1109353108
Sprowles, J. L., Hufgard, J. R., Gutierrez, A., Bailey, R. A., Jablonski, S. A., Williams, M. T., et al. (2016). Perinatal exposure to the selective serotonin reuptake inhibitor citalopram alters spatial learning and memory, anxiety, depression, and startle in Sprague-Dawley rats. Int. J. Dev. Neurosci. 54, 39–52. doi: 10.1016/j.ijdevneu.2016.08.007
Sundstrom, E., Kolare, S., Souverbie, F., Samuelsson, E. B., Pschera, H., Lunell, N. O., et al. (1993). Neurochemical differentiation of human bulbospinal monoaminergic neurons during the first trimester. Brain Res. Dev. Brain Res. 75, 1–12. doi: 10.1016/0165-3806(93)90059-j
Suri, D., Teixeira, C. M., Cagliostro, M. K., Mahadevia, D., and Ansorge, M. S. (2015). Monoamine-sensitive developmental periods impacting adult emotional and cognitive behaviors. Neuropsychopharmacology 40, 88–112. doi: 10.1038/npp.2014.231
Sykes, P. A., and Condron, B. G. (2005). Development and sensitivity to serotonin of Drosophila serotonergic varicosities in the central nervous system. Dev. Biol. 286, 207–216. doi: 10.1016/j.ydbio.2005.07.025
Tauber, J. M., Vanlandingham, P. A., and Zhang, B. (2011). Elevated levels of the vesicular monoamine transporter and a novel repetitive behavior in the Drosophila model of fragile X syndrome. PLoS One 6:e27100. doi: 10.1371/journal.pone.0027100
Valles, A. M., and White, K. (1988). Serotonin-containing neurons in Drosophila melanogaster: development and distribution. J. Comp. Neurol. 268, 414–428. doi: 10.1002/cne.902680310
van Alphen, B., and van Swinderen, B. (2013). Drosophila strategies to study psychiatric disorders. Brain Res. Bull. 92, 1–11. doi: 10.1016/j.brainresbull.2011.09.007
van Swinderen, B., and Flores, K. A. (2007). Attention-like processes underlying optomotor performance in a Drosophila choice maze. Dev. Neurobiol. 67, 129–145. doi: 10.1002/dneu.20334
Yenkoyan, K., Grigoryan, A., Fereshetyan, K., and Yepremyan, D. (2017). Advances in understanding the pathophysiology of autism spectrum disorders. Behav. Brain Res. 331, 92–101. doi: 10.1016/j.bbr.2017.04.038
Zhang, K., Guo, J. Z., Peng, Y., Xi, W., and Guo, A. (2007). Dopamine-mushroom body circuit regulates saliency-based decision-making in Drosophila. Science. 316, 1901–1904. doi: 10.1126/science.1137357
Zhang, Y. Q., Bailey, A. M., Matthies, H. J., Renden, R. B., Smith, M. A., Speese, S. D., et al. (2001). Drosophila fragile X-related gene regulates the MAP1B homolog Futsch to control synaptic structure and function. Cell 107, 591–603. doi: 10.1016/s0092-8674(01)00589-x
Zhang, Y. Q., and Broadie, K. (2005). Fathoming fragile X in fruit flies. Trends Genet. 21, 37–45. doi: 10.1016/j.tig.2004.11.003
Keywords: neurodevelopmental disorders, serotonin, SERT, Drosophila, ASD
Citation: Carvajal-Oliveros A and Campusano JM (2021) Studying the Contribution of Serotonin to Neurodevelopmental Disorders. Can This Fly? Front. Behav. Neurosci. 14:601449. doi: 10.3389/fnbeh.2020.601449
Received: 01 September 2020; Accepted: 14 December 2020;
Published: 12 January 2021.
Edited by:
Clare C. Rittschof, University of Kentucky, United StatesReviewed by:
Therese A. Kosten, University of Houston, United StatesJorge A. Bergado, Universidad del Sinú, Colombia
Copyright © 2021 Carvajal-Oliveros and Campusano. 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: Jorge M. Campusano, amNhbXB1c2Fub0BiaW8ucHVjLmNs