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Translational Psychiatry logoLink to Translational Psychiatry
. 2020 Sep 18;10:315. doi: 10.1038/s41398-020-00999-9

The stress–Wnt-signaling axis: a hypothesis for attention-deficit hyperactivity disorder and therapy approaches

Cristine Marie Yde Ohki 1, Leoni Grossmann 1, Emma Alber 1, Tanushree Dwivedi 1, Gregor Berger 1, Anna Maria Werling 1, Susanne Walitza 1,2,3, Edna Grünblatt 1,2,3,
PMCID: PMC7501308  PMID: 32948744

Abstract

Attention-deficit hyperactivity disorder (ADHD) is one of the most common psychiatric neurodevelopmental disorders in children and adolescents. Although ADHD has been studied for nearly a century, the cause and pathophysiology of ADHD is yet largely unknown. However, findings from previous studies have resulted in the formation of a new hypothesis: Apart from the well-known multifactorial etiology of ADHD, recent evidence suggests that the interaction between genetic and environmental factors and especially Wnt- and mTOR-signaling pathways might have an important role in the pathophysiology of ADHD. The Wnt-signaling pathway is known to orchestrate cellular proliferation, polarity, and differentiation, and the mTOR pathway is involved in several significant processes of neurodevelopment and synaptic plasticity. As a result, dysregulations of these pathways in a time-dependent manner could lead to neurodevelopmental delays, resulting in ADHD phenotype. This review presents further evidence supporting our hypothesis by combining results from studies on ADHD and Wnt- or mTOR-signaling and the influence of genetics, methylphenidate treatment, Omega-3 supplementation, and stress.

Subject terms: ADHD, Molecular neuroscience

Introduction

Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattentiveness, hyperactivity, and impulsivity1. It is one of the most common psychiatric and behavioral disorders in children and adolescents with over 5% of the population affected worldwide and persists in about 60% of the cases into adulthood2. ADHD is often accompanied by comorbidities such as conduct or oppositional defiant disorder, major depressive disorder (MDD)3, obsessive-compulsive disorder (OCD)4, personality disorder5, autism spectrum disorder (ASD)6, and epilepsy7 among others. Further, ADHD has also been associated with an increased risk of obesity/overweight8. The burden that ADHD patients and their families face in daily life greatly affects their adult life. Moreover, according to a recent review, the global burden of developmental disorders including ADHD has not significantly improved since 19909.

Emotional dysregulation has been found also to be very common in ADHD. It has been suggested to be a significant cause of impairment in the different aspects of ADHD patients’ life10,11. ADHD has also been associated with polysubstance-dependency, early onset of addiction, and borderline personality disorder12. A substantial amount of negative impact on school performance and long-term academic outcomes has been found in patients with ADHD. Yet, adequate treatment is able to improve academic performances13,14. In addition, studies show that young people with ADHD were at a considerably higher risk of being involved in accidents15. ADHD diagnosis, in particular the combined type (hyperactive-impulsive subtype), was found to have an impact on reduced estimated life expectancy16. In addition, in adult ADHD, the assessed health-related quality of life, work productivity, and regular daily activities have been found to be impaired17.

Alterations in brain structure, connectivity, and maturation processes in patients with ADHD have been reported1822. Particularly, a delay in cerebral cortex maturation predominantly in the frontal cortex has been noted in ADHD patients18. In a study combining magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), and resting-state functional MRI (fMRI) technique, alterations were found in the forceps minor, the internal capsule, the corona radiata, the splenium of the corpus callosum, and the bilateral basal ganglia of patients with ADHD23. DTI application revealed that in adults with a history of ADHD, maturation of white matter was delayed24. In a recent mega-analysis by the ENIGMA-ADHD consortium, subtle differences in cortical surface area were found in children, confirming the involvement of the frontal cortex in ADHD as well19.

The heritability of ADHD is estimated between 77 and 88%25, however, no single gene alone may predict the disorder. On the contrary, several studies have indicated that a third of the heritability in ADHD is caused by the polygenic component that comprises several common variants each with small effect size26. Furthermore, a great deal of evidence supports the interaction between genetic (polygenic) and environmental factors during early development, in particular prenatal stress, leading to the neurobiological susceptibility to the disorder27,28.

Regarding pharmacological treatment, first-line agents for ADHD are stimulants such as methylphenidate (MPH) or dexamphetamine29. Structural and functional neuroimaging analysis of ADHD brains suggests that psychostimulants (e.g., MPH) are associated with normalizing the aforementioned structural abnormalities seen in ADHD patients30,31.

Although a wide range of studies has been performed to understand the underlying pathology of ADHD, the etiopathology of ADHD is still not fully understood. Elucidating the etiopathology of ADHD will help to expand the strategies to reduce symptoms, develop personalized therapy and predict response to medication therapy. New insights will additionally reveal potential biomarkers for improved differential and predictive diagnosis approaches32. The findings from previous studies compelled us into forming the following hypothesis: Apart from the already known multifactorial etiology of ADHD, recent evidence suggests that the interaction between genetic and environmental factors and especially Wnt- and mTOR-signaling pathways might have an important role in the pathophysiology of ADHD. In this narrative review of the literature, we will present the current evidence supporting this hypothesis linking genetic, stress, and Wnt/mTOR pathways with ADHD, as well as discuss the missing link that needs to be investigated.

Biological pathways and their link with ADHD

The Wnt/mTOR pathways

The wingless-INT (Wnt)-signaling pathway is known to orchestrate cellular proliferation, polarity, and differentiation (Fig. 1); processes that are crucial for healthy tissue morphogenesis, especially in the embryonic stage33, but also processes involved in adult neurogenesis34. On the basis of their activity at the cellular level, Wnt-signaling has been classified into two categories, canonical and non-canonical35. In humans, 19 genes were identified to encode Wnt protein subtypes. Further, they activate several pathways by coupling with various receptors36. In the canonical Wnt-signaling pathway, Wnt ligands bind to a Frizzled (Fzd)/low-density lipoprotein receptor-related protein (LRP) complex at the cell membrane. This complex (Wnt/Fzd/LRP) recruits disheveled (Dvl), which in turn inhibits the pathway, leading to β-catenin degradation. Once the β-catenin degradation stops, it accumulates in the cytoplasm before translocating into the nucleus. Subsequently, there is an interaction between β-catenin and transcription factor (TCF)/lymphoid-enhancer factor (LEF) in the nucleus to regulate the transcription of target genes37. TCF/LEF target genes are known to regulate stem cell maintenance and differentiation along with cell proliferation38.

Fig. 1. Current evidence and hypothesis linking elevated stress (cortisol), previous ADHD diagnosis, and methylphenidate (MPH) treatment or omega-3 PUFA supplementation with the Wnt and mTOR pathways known as key players in cell proliferation, growth, differentiation, and maturation.

Fig. 1

The figure was created by BioRender.com. Abbreviations: DEX dexamethasone, GR glucocorticoid receptor, GWAS genome-wide association study, miRNA non-coding microRNA, MPH methylphenidate, n-3-PUFA Omega-3 long-chain polyunsaturated fatty acids, SNPs single nucleotide polymorphisms, [number] represent citation in the paper.

The mammalian target of rapamycin (mTOR) pathway is involved in several significant processes of neurodevelopment and synaptic plasticity (Fig. 1)39. It has also been described to be associated with neurodevelopmental disorders such as ASD40 and schizophrenia41,42. A component of the phosphatidylinositol 3-kinase (PI3K) cell survival pathway is the mTOR. It has a significant role in the regulation of cell growth and proliferation. mTOR operates at a key junction in the PI3K pathway. It further acts downstream and upstream of protein kinase Akt. mTOR also regulates the protein synthesis necessary for proliferation and cell growth by forming two multi-protein complexes, namely mTOR complex I (mTORC1) and mTOR complex II (mTORC2)43.

There are three main signaling pathways known to converge and regulate the mechanistic target of mTOR. First, the growth factor pathway comprised of PI3Ks, phosphoinositide-dependent kinase 1 (PDK1), and RAC-alpha serine/threonine-protein kinase (AKT1). AKT1 is activated by the phosphorylation of PDK1, which is triggered when PI3K is activated. mTOR is activated via GTP-binding protein Rheb (RHEB) when tuberous sclerosis complex (TSC2) gets phosphor-inhibited by AKT1. This results in the phosphorylation of eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1) or protein S6 kinase beta-1 (S6K1)44. The second pathway involves the energy-sensing arm, which responds to low or insufficient ambient cellular ATP. AMPK is phosphorylated through the serine/threonine-protein kinase STK11 (also known as liver kinase B1, LKB1). This results in TSC2-mediated mTOR inhibition. LKB1 complex activity releases inhibition of mTOR when the ATP level are abundant45. In the third pathway, the amino acid sensor GAP activity toward rags (GATOR1) complex (DEP domain-containing protein 5, DEPDC5; nitrogen permease regulator proteins NPRL2 and NPRL3) regulates mTOR in response to changes in levels of amino acids. In other words, GATOR1 inhibits mTOR-signaling when the level of amino acids are low. GATOR1 inhibition of mTOR is released once the amino acid levels return to normal levels46.

Both signaling pathways are not only important for early normal brain development but also for neurogenesis in the adult brain47. mTOR has been suggested to regulate neuronal differentiation and dendritic maturation48. Canonical Wnt-signaling has a major role in neurogenesis. During early neurogenesis, it promotes self-renewal to maintain neural progenitors. However, during mid and late neurogenesis it induces the differentiation of progenitor cells34.

Dysregulation of both pathways may lead to pathological brain developmental conditions. For example, Kasherman and colleagues48 have shown how abnormalities in the ubiquitin system, a major regulator of key signaling cascades including mTOR and Wnt, are linked to two common neurodevelopmental disorders: intellectual disability (ID) and ASD.

Genetic evidence for Wnt-signaling in ADHD

Although ADHD was found to be highly heritable25,49, no single genetic variation could be used for diagnosis or prediction of ADHD. Moreover, the consensus is that ADHD is considered polygenetic, supporting also the notion that it is not a clear-cut categorical disorder but rather the extreme end of the spectrum of a continuous behavioral trait26. Indeed, the polygenic risk score (PRS) analysis summarizing statistically all the SNP results from a large genome-wide association study (GWAS) has shown some promising results50. For example, ADHD-PRS was found to associate with symptoms of hyperactivity-impulsivity and to be mediated by white matter microstructure in brain regions that have been suggested to have a role in ADHD pathology51,52. In addition, ADHD-PRS was found to predict educational achievement53, to be linked with the severity of the clinical profile in those with high PRS54, and even to predict MPH response55. Although the etiology and pathways involved in ADHD cannot be revealed by using PRS only, this approach seems to be a powerful tool studying endophenotypes of the heterogeneous disorder.

In the recent Psychiatric Genomic Consortium (PGC)-ADHD meta-analysis of the GWAS results including over 20,000 cases and 35,000 controls, the first genome-wide significant loci were identified (12 loci)53. In addition to the 12 loci that covered 16 genes involved in brain-related pathways such as synapse formation, neuronal developmental, and dopaminergic transmission, gene set analysis of the most significant genes revealed that the Wnt/catenin-signaling pathway is associated with ADHD (gene ontology biological processes and cellular compartment)53. Further studies on gene variants of the Wnt pathway were reported in adult ADHD study using GWAS and extended pedigree linkage56. Here, the authors reported several genes to be associated with adult ADHD, as for example, the α-catenin (CTNNA2) which is known to be involved in Wnt-signaling and to have a role in the catenin–cadherin cell–adhesion complexes for synaptic transmission56. Similarly, Aebi and colleagues57, revealed a significant enrichment of the Wnt/β-catenin signaling in a subpopulation of ADHD patients with the oppositional defiant disorder (ODD) by running bioinformatics clustering of the GWAS results. In a study assessing personality disorders, adult ADHD and family-based childhood ADHD, Kv channel-interacting protein 4 (KCNIP4) gene, suggested to be part of a negative feedback loop in the Wnt/β-catenin pathway, was found to associate with ADHD58.

Interestingly, Rovira and colleagues59 reported recently a shared contribution of common SNPs in childhood ADHD and persistent adults in a meta-analysis of databases from large cohorts of ADHD children and persistent ADHD adults. In this study, the researchers were able to identify nine loci, containing genes involved in brain development, associated with ADHD persistence into adulthood. A significant genetic correlation between ADHD in childhood and its persistent ADHD in adulthood was found, in which also childhood ADHD-PRSs were associated with persistent ADHD59. Lastly, though not significant after multiple testing corrections, in the pathway analysis of persistent ADHD adults, nominal significant association to the “reactome energy-dependent regulation of mTOR by LKB1/AMPK”, “biocarta mTOR pathway”, and “reactome mTORC1-mediated signaling” was found59.

In a recent study by our group, we found both in family and case–control samples an association in child and adolescent ADHD with LRP5 and LRP6 gene variants in four Caucasian European populations, which was found to be further significant after meta-analysis with previous published results60. Additional evidence to the involvement of the Wnt-signaling in ADHD comes from a study by Wang and colleagues61 who demonstrated in ADHD patients a significant correlation between low gray matter volume and three miRNAs (miR-30e-5p, miR-126-5p, and miR-140-3p) that were found to be involved in the Wnt-signaling pathways. In a recent study, the genetic architecture of the human cerebral cortex revealed that common genetic variants are linked with surface area and thickness of these regions62. In particular, intriguing is that loci linked with surface area, which was found to be negatively correlated genetically with ADHD, clustered with genes involved in the Wnt-signaling pathways62 (Fig. 1).

Enrichment analysis of transcriptomic (gene expression/mRNA)63 data sets originating from mouse substantia nigra64, rat striatum, and frontal cortex65, immortalized human lymphocytes of adult ADHD and controls66 treated with MPH resulted in enriched transcripts in Wnt-signaling pathway. Similarly, in selective breeding for high home cage activity, the striatum transcriptomic of this mouse model for ADHD was assessed with and without amphetamine67. As in the previous models, also high-active mice enrichment analysis predicted the downregulation of the canonical Wnt pathway67.

Indeed, all the above-mentioned results support the involvement of Wnt-signaling pathways in ADHD and its phenotypes at the genetic and the transcriptomic level.

Methylphenidate treatment and its link to Wnt/mTOR-signaling

It is well-known that MPH is one of the first-line drugs for the treatment of ADHD but despite its relatively high effect sizes in ADHD children (0.8–1.0 for hyperactivity and 0.6–0.8 for attention deficit)68, its acute and chronic effects are still unclear and of continuous concern69,70. However, no conclusive evidence supporting or dismissing short- and long-term negative effects of MPH has been reported up to this date.

In vivo evidences showed that this stimulant affects positively hippocampal neurogenesis in young rats and neuronal plasticity in the amygdala71. Clinical studies using fMRI analysis report that MPH administration is able to attenuate ADHD-related impairment in cortical maturation and functionality in children and adolescents by increasing gray matter levels in their cortices7274. Although in general, MPH acts as dopamine, norepinephrine, and at low-level serotonin transporter inhibitor in high-, middle and low-affinity manners, respectively, thus enhancing the levels and the biological effects of these monoamines in the synaptic cleft75, the exact molecular mechanisms (including the pathways affected by MPH) involved in this context remains elusive.

In vitro research has revealed that MPH influences cell proliferation and differentiation, regulating the activity of synthesizing and metabolizing enzymes responsible for balancing the monoamine concentration in the cells and the synaptic cleft7678, but also acts through a novel mechanism of action that supports neuronal cell maturation63.

In order to test the influence of MPH on neuronal cell maturation and its capability of stimulating neurogenesis and cortical maturation in in vivo models79, our group has hypothesized that treatment with this drug could lead to these same effects in neural cell lines through the Wnt-signaling activation mechanism. This was hypothesized since it has a pivotal role in maintaining these cellular processes in several conditions, such as neurogenesis and differentiation in embryonic development and tissue homeostasis33,80. More specifically, we were able to demonstrate in neuronal cell lines (murine stem cells, rat PC12, and human SH-SY5Y cells) that MPH activates Wnt-signaling, which was not due to the dopamine transporter inhibition—the main known therapeutic mechanism of this drug—since selective dopamine transporter inhibitor GBR-12909 treatment demonstrated the opposite effects63. Using a Wnt-luciferase reporter assay in 3T3 mouse fibroblast cell lines, we could confirm, quantitatively, that MPH activates the Wnt-signaling63.

In vivo, alterations in the expression of mRNAs involved in neuronal, synaptic, and axonal processes, in differentiation and in the Wnt-signaling were observed in MPH-treated rodents64,65. In addition, Oakes and collaborators81 found that β-catenin (as well as a vascular endothelial growth factor—VEGF —and tropomyosin receptor kinase B—TrkB) levels in juvenile male mice were elevated after a low dose of chronic MPH treatment (1 mg/kg) and reduced after high dose chronic treatment (10 mg/kg) administrated by intraperitoneal injections. The initial increase in the concentration of these factors by lower doses was followed by increased proliferation and survival of hippocampal cells, indicating that they might act as mediators of these cellular processes81 (Fig. 1). In 2018, Bae and colleagues82 hypothesized that Wnt-signaling might also be involved in the pathophysiology of ASD and that genes belonging to this pathway could be possible therapeutic targets of drugs shown to be effective in the therapy of comorbidities in ASD patients, such as haloperidol and MPH. This hypothesis has arisen based on the report by Mines and colleagues83, who have found that an 8-day MPH administration in adult C57Bl/6J mice was able to regulate phosphorylation of GSK3 and Akt, which suggests the participation of the drug in this pathway (Fig. 1). Nevertheless, both drugs have a distinct mechanism of action, as haloperidol is mainly a dopamine D2 receptor antagonist used for the treatment of irritability and aggression in ASD, while MPH is a dopamine transporter inhibitor used to treat comorbidity of ADHD in ASD patients.

The concomitant pathway to Wnt, mTOR, was also implicated in ADHD pathophysiology given that the complex Akt/mTOR-signaling is implicated in cell survival, synaptic plasticity, and formation, neurogenesis, and memory consolidation84. Several mutations in participating proteins on this pathway—for example, TSC1/2, RHEB, phosphatase tensin homolog (PTEN), and neurofibromin (NF1)—were described to be implicated with neurological disorders such as ASD, epilepsy, and ADHD85.

Schmitz and colleagues86 reported that MPH alters the mTOR pathway at different levels by decreasing the activity of Akt and mTOR substrates after short term treatment and increasing them after long-term treatment, which might regulate the aforementioned neuronal processes according to time of treatment (Fig. 1). Based on the aforementioned data, such evidence supports the notion of participation of Wnt- and Akt/mTOR-signaling in ADHD pathophysiology and reinforces the hypothesis that MPH might directly affect these two key pathways. In this sense, more studies are required to identify the molecular mechanisms involved at the cellular level in order to clarify and elucidate possible therapeutic targets.

Omega-3 fatty acids, ADHD, and Wnt/mTOR-signaling

Omega-3 long-chain polyunsaturated fatty acids (n-3-PUFA) are essential fatty acids for homeostasis acquired through diet and include eicosapentaenoic acid (EPA), alpha-linolenic acid (ALA), and docosahexaenoic acid (DHA), which are crucial for brain development87,88.

At the molecular level, it is known that n-3-PUFA has crucial roles in metabolic processes and specific functions in neural cells such as neurogenesis, neuroinflammation, and neurotransmission89. In this context, DHA was able to activate Wnt-signaling in neural cells, promoting upregulation of endogenous Wnt-regulated genes including PROX1 (an adult neurogenesis marker) and increased cell survival as well as neurite outgrowth in neurons90. Similarly, EPA, as well as DHA treatment, promoted differentiation of induced pluripotent stem cells (iPSC)-derived astrocytes from MDD patients concomitantly with increased CREB activity91, also known to be regulated by the non-canonical Wnt-signaling.

These compounds were described in a diverse neurological context such as neuroinflammation. In LPS (lipopolysaccharides)-induced neuro-injured mice and PC12 cells, n-3-PUFA treatment increased cellular proliferation and migration while inhibiting apoptosis92. In addition, Shi and colleagues92 have reported that these events were associated with the PI3K-signaling upregulation, which subsequently led to Akt activation and to an increased expression of β-catenin. These results point to a possible simultaneous activation and connection between mTOR- and Wnt-signaling pathways (Fig. 1).

Another study has also demonstrated that the PI3K/Akt and mTORC2 pathways were directly related to neuroprotective effects of n-3-PUFA in vitro. In this study by Descorbeth and colleagues93, DHA treatment (1–200 µM) protected Schwann cells from lipotoxicity-mediated cell death through the activation of the aforementioned pathways (Fig. 1).

In a whole transcriptomic study of brain hemispheres of C57BL/6J male mice fed with either standard lab diet (SD) or with a customized fish oil-enriched diet (FD), genes involved in cellular growth and proliferation, cellular development, embryonic development, synaptic transmission, development of the brain, inflammatory response, and developmental disorders have been found to differential express following FD94. Interestingly, the FK506 binding protein 5 (FKBP5) gene, known to be involved in stress regulation (see details under in chapter Stress and ADHD), was upregulated following FD pointing to the beneficial effects of fish oil supplementation94 (Fig. 1). Moreover, a vast number of genes in the Wnt-signaling pathway were differentially regulated following FD supplementation94.

In addition, the nonpharmacological protective mechanisms of n-3-PUFA have been largely explored in several neurological diseases9599. Evidence for alterations in n-3-PUFA blood levels in ADHD as well as lack of prenatal n-3-PUFA intake associated with the risk of ADHD has been reported. In addition, several clinical trials hint at the improvement of ADHD core symptoms after add-on n-3-PUFA treatment. Researchers have recently shown that children with ADHD tend to eat less Omega-3-enriched food (such as fish and seafood) in comparison to neurotypical individuals100102. Indeed, according to a meta-analysis, child and adolescent ADHD patients have lower levels of DHA, EPA, and total n-3-PUFAs compared to controls103. However, the link between levels of n-3-PUFA and the occurrence of this disorder in childhood is not limited to postnatal exposure: Lopez-Vicente and colleagues104 have reported that an increase in the ratio between n-6 and n-3 concentrations in cord plasma during pregnancy may increase ADHD rates when children reach the age of seven. Some investigations have demonstrated that cognitive functions, such as working memory, teacher-rated behavior, and impulsivity, have improved after n-3-PUFA administration in children with ADHD105109. In particular, EPA supplementation seems to elicit small but significant improvement in inattention and hyperactivity symptoms in ADHD patients103,110,111. An in vitro study has recently shown that PC12 dopaminergic cells had their viability significantly increased after n-3-PUFA administration112, starting with lower doses (from 100 pM). Interestingly, a double-blinded report revealed that a combined treatment of n-3-PUFA plus MPH in a group of ADHD children was able to increase the efficacy of MPH treatment by significantly increasing the response to this drug113. Similarly, Anand and colleagues114 found that n-3-PUFA could improve ADHD scores in atomoxetine-treated children in comparison to the group that received this drug only. However, the difference was not statistically significant in cases of inadequate dosage administration114.

In addition, Liu and colleagues97 have described that PUFA may modulate different signaling pathways in the brain by increasing the activity of adenylate cyclase and protein kinase A and thereby influencing serotonin, beta-adrenergic, and dopamine receptors.

Although, to date, no link was established between n-3-PUFA, mTOR, and ADHD some evidence has been reported for n-3-PUFA and mTOR in other neuropsychiatric disorders. Based on mounting evidence proving that n-3-PUFA have beneficial effects on people affected by depression, schizophrenia, and bipolar disorder115117 in combination with data on the correlation between mTOR and other pathologies (e.g., cancer), Shirooie and colleagues118 reviewed that mTOR can be one of n-3-PUFA’s targets to treat neurodegenerative diseases by regulating essential cellular processes such as apoptosis and autophagy. In addition, Giacobbe and colleagues119 have recently discussed the anti-inflammatory effect of n-3-PUFA within the context of neuropsychiatric disorders such as depression. This review mentions that intracerebroventricular injections of resolvins D1, D2, and E1 (n-3-PUFA metabolites) seem to attenuate depressive-like behavior in mice via activation of mTORC1-signaling pathway120,121. Therefore, n-3-PUFA might elicit its positive effects on ADHD via mTOR, however, this still needs to be investigated.

To date, there is a lack of evidence connecting Wnt and/or mTOR pathways, n-3-PUFA supplementation, and the occurrence of ADHD. Moreover, some results are controversial to the aforementioned positive studies about favorable aspects of n-3-PUFA supplementation122,123. Although overall results point to its beneficial effects mainly in mild ADHD subtypes124, making deeper and molecular approaches even more necessary.

Stress and ADHD

As mentioned previously, the susceptibility to ADHD is influenced by the interaction of polygenic and environmental factors. The impact of environmental risk factors increases especially during critical developmental stages in life. The pre- and perinatal periods are associated with high phenotypic plasticity and thereby represent such critical developmental episodes125,126. Risk factors such as maternal life-events such as stress or trauma, alcohol consumption, and smoking during pregnancy put offspring at risk of developing ADHD127129. However, the degree to which these are casual effects or due to unknown confounding factors is highly debated130,131. Recent studies suggested that risk factors, such as maternal substance use during pregnancy is associated with offspring ADHD, are not casual but rather confounding by other risk factors132,133.

In terms of maternal influence on ADHD development, maternal ADHD symptomatology, also in mothers without ADHD diagnosis, may indirectly induce ADHD symptomatology in the offspring by negatively affecting the home environment134. Moreover, the presence of depressive symptoms during pregnancy suggested inducing the early onset of ADHD symptoms in 3- to 6-year-old children135. Therefore, it is rather difficult to separate pre, peri-, and postnatal stress effects on the risk of ADHD, however the overall hypothesis of accumulating environmental factors including stress may exacerbate it.

In addition, socioeconomic factors seem to be an essential role in this context, since children whose mothers are from urban, low-income backgrounds and had been under psychological stress before and during pregnancy are more susceptible to develop ADHD136. Such stress may result directly from maternal cortisol levels, indirectly from maternal anxiety, depression, trauma, or even from the administration of synthetic glucocorticoids such as dexamethasone or betamethasone137. Glucocorticoids can influence intracellular signaling pathways as for example the Wnt-signaling pathways (Fig. 1). An increase in glucocorticoids has been shown to downregulate both ERK- and PI3K/Akt-signaling pathways138. Treatment of human neural progenitor cells (hNPCs) with dexamethasone for example increases the expression of Dickkopf 1 (DKK1) and decreases the expression of canonical Wnt target genes139. To note, the Wnt-signaling is important for neurogenesis and its inhibition causes a defect in neural differentiation and proliferation, which might explain how stress affects neurodevelopment80,139. The neuronal and glial energetics hypothesis further describes a possible association between glucocorticoids and psychiatric neurodevelopmental disorders. Glucocorticoids inhibit glycogen synthesis as well as the supply of glucose to neurons and astrocytes140. As a result, the glial activity will be downregulated during stressful situations and will lead to fatigue and a predisposition for an inefficient and/or inconsistent behavioral performance140.

It has been confirmed in animal models that ADHD-like behavioral symptoms and changes in brain function can result from early life stress141,142. The spontaneous hypertensive rat (SHR) is one of the most extensively studied animal models for ADHD143. Cognitive performance tests in SHR indicate an association between cognitive deficits, insulin resistance, and hypertension144, while Wnt-signaling has been shown to mediate insulin and blood pressure regulation and thereby suggests a possible relationship between Wnt-signaling and ADHD145.

ADHD symptoms are associated with higher perceived stress146,147. The hypothalamus–pituitary–adrenal axis (HPA axis) is an important responder to stressful environments. Several studies have shown that stress reactions are different in ADHD patients compared to healthy controls148151. ADHD patients show reduced diurnal cortisol levels compared to healthy controls152,153. Cortisol levels can be decreased by mineralocorticoids- (MR) and glucocorticoids- (GR) receptors through a negative feedback system. GR and MR inhibit the synthesis and release of corticotropin-releasing factor in the hypothalamus and adrenocorticotrophic hormone in the pituitary gland154. The candidate gene FKBP5 is involved with the GR and its pathway155,156. It is an important regulator of the negative feedback system of the HPA axis by reducing the sensitivity of GR157. Stress hormones increase the expression of the FKBP5 resulting in reduced GR affinity and thereby increase cortisol levels. Polymorphisms on the FKBP5 gene have been found to be associated with ADHD156. Moreover, one of the polymorphisms was found to associate with low cortisol levels and ADHD. Therefore, FKBP5 might have an important role in linking Wnt-signaling, stress, and ADHD (Fig. 1).

Preclinical studies158160 suggest that n-3-PUFAs improve stress-related neurobiological and behavioral changes via attenuation of the associated HPA-axis hyperactivity. The latter findings are suggestive that dietary n-3-PUFAs may modulate the often observed HPA-axis dysfunction associated with the development of some neuropsychiatric disorders including ADHD and MDD. Observational studies in humans further support a link between the HPA axis and PUFA metabolism, as cortisol decreases the production161 and increases the breakdown of PUFAs162.

Discussion

From the current review of the literature, we suggest the involvement of Wnt and mTOR pathways in the etiopathology of ADHD with a wide range of evidence, at the genetic, environmental, functional, and molecular as well as at the pharmacotherapeutic levels. Nevertheless, there is still a gap between the current knowledge and the lack of evidence in neuronal brain tissue originating from ADHD patients. This, of course, arises because brain tissue is not available since neither biopsies nor post-mortem samples are available.

Based on the data presented so far, it is noticeable that genetic factors are relevant in understanding ADHD. Studying such genetic risk factors at the molecular level is as important as exploring the environmental factors that might have a role in the disorder. To illustrate this, we pointed out the possible involvement of pre-, peri-, and postnatal stress associated with ADHD also linking it to the genetic risk factors, possibly together affecting canonical Wnt-signaling, which in turn affects neurodevelopment. Unfortunately, there is still a shortcoming in understanding the role of stress on the molecular and cellular levels that needs to be elucidated.

Studying the pathomechanism in human cells is limited because the relevant tissue, the brain, is not accessible by biopsy and ADHD post-mortem samples are scarcely available for research purposes. Although animal models are a valuable alternative in studying ADHD, they are not able to mimic the polygenic profile of a patient163. Therefore, there is an urgent need for a personalized neuronal model in a dish originating from individuals with ADHD that maintains their genetic background. Reprogramming human somatic cells into iPSCs and differentiating them into neural cells or brain organoids is a powerful technology that provides the essential means to study living human central nervous system cells for modeling complex disorders such as ADHD in a semi ex vivo manner164. Such personalized models may provide a platform to test such a hypothesis, enabling the measures of molecular and functional effects of genetic and environmental factors on neurodevelopment processes.

In conclusion, both pathways may be associated with ADHD at the genetic and environmental level linking both susceptible risk genes with stress. Indeed, Wnt-/mTOR-signaling and stress were linked with many other neurodevelopmental and neurodegenerative disorders as reviewed above. This does not contradict to the fact that many of these disorders are comorbid as well as share some phenotypes, e.g., cognition, which might explain the common mechanisms. However, the polygenic combination, the time point of alterations, and the time point of stress might cause to the different trajectories leading to the disorder, as reviewed by Sullivan and colleagues165. Following the aforementioned observations, it would be of utmost importance to test the hypothesis of Wnt- and mTOR-pathway alterations and stress effects at the cellular level in developing neural cells from ADHD patients compared to healthy controls. As discussed previously, the novel technique of using iPSCs to establish a personalized model of ADHD seems to be a novel platform to deeply understand the mechanism of ADHD, which will also provide scope for drug testing. Overall, it would be an important step forward to form not only effective treatment for ADHD but also for the development of preventive approaches.

Acknowledgements

This review was supported by the research fund Nr. 8702 “Fonds für Wissenschaftliche Zwecke im Interesse der Heilung von Psychiatrischen Krankheiten” of the University Hospital of Psychiatry Zurich, and the University of Zurich.

Author contributions

E.G. and S.W. initiated the concept and design of the review. C.M.Y.O., L.G., T.D., E.A., G.B., A.M.W., and E.G. conducted the literature search and drafted the manuscript. All authors revised, reviewed, and approved the final manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (APA, 2013).
  • 2.Polanczyk, G. V., Willcutt, E. G., Salum, G. A., Kieling, C. & Rohde, L. A. ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. Int. J. Epidemiol.10.1093/ije/dyt261 (2014). [DOI] [PMC free article] [PubMed]
  • 3.Bron TI, et al. Prevalence of ADHD symptoms across clinical stages of major depressive disorder. J. Affect Disord. 2016;197:29–35. doi: 10.1016/j.jad.2016.02.053. [DOI] [PubMed] [Google Scholar]
  • 4.Cabarkapa S, King JA, Dowling N, Ng CH. Co-morbid obsessive-compulsive disorder and attention deficit hyperactivity disorder: neurobiological commonalities and treatment implications. Front. Psychiatry. 2019;10:557. doi: 10.3389/fpsyt.2019.00557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Matthies S, Philipsen A. Comorbidity of personality disorders and adult attention deficit hyperactivity disorder (ADHD)–review of recent findings. Curr. Psychiatry Rep. 2016;18:33. doi: 10.1007/s11920-016-0675-4. [DOI] [PubMed] [Google Scholar]
  • 6.Antshel KM, Zhang-James Y, Wagner KE, Ledesma A, Faraone SV. An update on the comorbidity of ADHD and ASD: a focus on clinical management. Expert Rev. Neurother. 2016;16:279–293. doi: 10.1586/14737175.2016.1146591. [DOI] [PubMed] [Google Scholar]
  • 7.Verrotti A, et al. The challenge of pharmacotherapy in children and adolescents with epilepsy-ADHD comorbidity. Clin. Drug Investig. 2018;38:1–8. doi: 10.1007/s40261-017-0585-1. [DOI] [PubMed] [Google Scholar]
  • 8.Bowling AB, Tiemeier HW, Jaddoe VWV, Barker ED, Jansen PW. ADHD symptoms and body composition changes in childhood: a longitudinal study evaluating directionality of associations. Pediatr. Obes. 2018;13:567–575. doi: 10.1111/ijpo.12288. [DOI] [PubMed] [Google Scholar]
  • 9.Olusanya, B. O. et al. Developmental disabilities among children younger than 5 years in 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Global Health10.1016/S2214-109X(18)30309-7 (2018). [DOI] [PMC free article] [PubMed]
  • 10.Hirsch O, Chavanon M, Riechmann E, Christiansen H. Emotional dysregulation is a primary symptom in adult attention-deficit/hyperactivity disorder (ADHD) J. Affect Disord. 2018;232:41–47. doi: 10.1016/j.jad.2018.02.007. [DOI] [PubMed] [Google Scholar]
  • 11.Retz W, Stieglitz RD, Corbisiero S, Retz-Junginger P, Rosler M. Emotional dysregulation in adult ADHD: what is the empirical evidence? Expert Rev. Neurother. 2012;12:1241–1251. doi: 10.1586/ern.12.109. [DOI] [PubMed] [Google Scholar]
  • 12.Fatseas M, et al. Addiction severity pattern associated with adult and childhood attention deficit hyperactivity disorder (ADHD) in patients with addictions. Psychiatry Res. 2016;246:656–662. doi: 10.1016/j.psychres.2016.10.071. [DOI] [PubMed] [Google Scholar]
  • 13.Jangmo A, et al. Attention-deficit/hyperactivity disorder, school performance, and effect of medication. J. Am. Acad. Child Adolesc. Psychiatry. 2019;58:423–432. doi: 10.1016/j.jaac.2018.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Arnold LE, Hodgkins P, Kahle J, Madhoo M, Kewley G. Long-term outcomes of ADHD: academic achievement and performance. J. Atten. Disord. 2020;24:73–85. doi: 10.1177/1087054714566076. [DOI] [PubMed] [Google Scholar]
  • 15.Lange H, et al. Accident proneness in children and adolescents affected by ADHD and the impact of medication. J. Atten. Disord. 2016;20:501–509. doi: 10.1177/1087054713518237. [DOI] [PubMed] [Google Scholar]
  • 16.Barkley RA, Fischer M. Hyperactive child syndrome and estimated life expectancy at young adult follow-up: the role of ADHD persistence and other potential predictors. J. Atten. Disord. 2019;23:907–923. doi: 10.1177/1087054718816164. [DOI] [PubMed] [Google Scholar]
  • 17.Joseph A, Kosmas CE, Patel C, Doll H, Asherson P. Health-related quality of life and work productivity of adults with ADHD: a U.K. Web-Based Cross-Sectional Survey. J. Atten. Disord. 2019;23:1610–1623. doi: 10.1177/1087054718799367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shaw, P. et al. Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation. Proc. Natl Acad. Sci. USA10.1073/pnas.0707741104 (2007). [DOI] [PMC free article] [PubMed]
  • 19.Hoogman M, et al. Brain Imaging of the cortex in ADHD: a coordinated analysis of large-scale clinical and population-based samples. Am. J. Psychiatry. 2019;176:531–542. doi: 10.1176/appi.ajp.2019.18091033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cortese S, et al. Functional decoding and meta-analytic connectivity modeling in adult attention-deficit/hyperactivity disorder. Biol. Psychiatry. 2016;80:896–904. doi: 10.1016/j.biopsych.2016.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hermosillo RJM, et al. Polygenic risk score-derived subcortical connectivity mediates attention-deficit/hyperactivity disorder diagnosis. Biol. Psychiatry Cogn. Neurosci. Neuroimaging. 2020;5:330–341. doi: 10.1016/j.bpsc.2019.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Guo X, et al. Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorder. Transl. Psychiatry. 2020;10:65. doi: 10.1038/s41398-020-0740-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Qiu MG, et al. Changes of Brain structure and function in ADHD children. Brain Topogr. 2011 doi: 10.1007/s10548-010-0168-4. [DOI] [PubMed] [Google Scholar]
  • 24.Bouziane C, et al. ADHD and maturation of brain white matter: a DTI study in medication naive children and adults. Neuroimage Clin. 2018;17:53–59. doi: 10.1016/j.nicl.2017.09.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Faraone SV, Larsson H. Genetics of attention deficit hyperactivity disorder. Mol. Psychiatry. 2019;24:562–575. doi: 10.1038/s41380-018-0070-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Grimm O, Kranz TM, Reif A. Genetics of ADHD: what should the clinician know? Curr. Psychiatry Rep. 2020;22:18. doi: 10.1007/s11920-020-1141-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Curatolo P, D’Agati E, Moavero R. The neurobiological basis of ADHD. Ital. J. Pediatr. 2010;36:79. doi: 10.1186/1824-7288-36-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Hodes GE, Epperson CN. Sex differences in vulnerability and resilience to stress across the life span. Biol. Psychiatry. 2019;86:421–432. doi: 10.1016/j.biopsych.2019.04.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.De Crescenzo F, Cortese S, Adamo N, Janiri L. Pharmacological and non-pharmacological treatment of adults with ADHD: a meta-review. Evid. Based Ment. Health. 2017;20:4–11. doi: 10.1136/eb-2016-102415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Nakao T, Radua J, Rubia K, Mataix-Cols D. Gray matter volume abnormalities in ADHD: voxel-based meta-analysis exploring the effects of age and stimulant medication. Am. J. Psychiatry. 2011;168:1154–1163. doi: 10.1176/appi.ajp.2011.11020281. [DOI] [PubMed] [Google Scholar]
  • 31.Frodl, T. & Skokauskas, N. Meta-analysis of structural MRI studies in children and adults with attention deficit hyperactivity disorder indicates treatment effects. Acta Psychiatr. Scand.10.1111/j.1600-0447.2011.01786.x (2012). [DOI] [PubMed]
  • 32.Walitza S, Grünblatt E, Brem S, Brandeis D, Drechsler R. Was können Biomarker heute leisten? Über den Einsatz von Biomarkern in der psychiatrischen Diagnostik am Beispiel der ADHS. PSYCH Up2date. 2015;9:65–65. [Google Scholar]
  • 33.MacDonald BT, Tamai K, He X. Wnt/beta-catenin signaling: components, mechanisms, and diseases. Dev. Cell. 2009;17:9–26. doi: 10.1016/j.devcel.2009.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Goncalves JT, Schafer ST, Gage FH. Adult neurogenesis in the hippocampus: from stem. Cells Behav. Cell. 2016;167:897–914. doi: 10.1016/j.cell.2016.10.021. [DOI] [PubMed] [Google Scholar]
  • 35.Kawano Y, Kypta R. Secreted antagonists of the Wnt signalling pathway. J. Cell Sci. 2003;116:2627–2634. doi: 10.1242/jcs.00623. [DOI] [PubMed] [Google Scholar]
  • 36.Niehrs C. The complex world of WNT receptor signalling. Nat. Rev. Mol. Cell Biol. 2012;13:767–779. doi: 10.1038/nrm3470. [DOI] [PubMed] [Google Scholar]
  • 37.Harrison-Uy, S. J. & Pleasure, S. J. Wnt signaling and forebrain development. Cold Spring Harb. Perspect. Biol.10.1101/cshperspect.a008094 (2012). [DOI] [PMC free article] [PubMed]
  • 38.Rao TP, Kuhl M. An updated overview on Wnt signaling pathways: a prelude for more. Circ. Res. 2010;106:1798–1806. doi: 10.1161/CIRCRESAHA.110.219840. [DOI] [PubMed] [Google Scholar]
  • 39.Jaworski J, Sheng M. The growing role of mTOR in neuronal development and plasticity. Mol. Neurobiol. 2006;34:205–219. doi: 10.1385/MN:34:3:205. [DOI] [PubMed] [Google Scholar]
  • 40.Sawicka K, Zukin RS. Dysregulation of mTOR signaling in neuropsychiatric disorders: therapeutic implications. Neuropsychopharmacology. 2012;37:305–306. doi: 10.1038/npp.2011.210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ryskalin, L., Limanaqi, F., Frati, A., Busceti, C. L. & Fornai, F. mTOR-related brain dysfunctions in neuropsychiatric disorders. Int. J. Mol. Sci. 19, 10.3390/ijms19082226 (2018). [DOI] [PMC free article] [PubMed]
  • 42.Chadha, R. & Meador-Woodruff, J. H. Downregulated AKT-mTOR signaling pathway proteins in dorsolateral prefrontal cortex in schizophrenia. Neuropsychopharmacology10.1038/s41386-020-0614-2 (2020). [DOI] [PMC free article] [PubMed]
  • 43.Zarogoulidis P, et al. mTOR pathway: a current, up-to-date mini-review (review) Oncol. Lett. 2014;8:2367–2370. doi: 10.3892/ol.2014.2608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Yang Q, Guan KL. Expanding mTOR signaling. Cell Res. 2007;17:666–681. doi: 10.1038/cr.2007.64. [DOI] [PubMed] [Google Scholar]
  • 45.Shaw RJLKB1. and AMP-activated protein kinase control of mTOR signalling and growth. Acta Physiol. (Oxf.) 2009;196:65–80. doi: 10.1111/j.1748-1716.2009.01972.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Crino PB. The mTOR signalling cascade: paving new roads to cure neurological disease. Nat. Rev. Neurol. 2016;12:379–392. doi: 10.1038/nrneurol.2016.81. [DOI] [PubMed] [Google Scholar]
  • 47.Fares J, Diab Bou, Nabha Z, Fares S, Neurogenesis Y. in the adult hippocampus: history, regulation, and prospective roles. Int J. Neurosci. 2019;129:598–611. doi: 10.1080/00207454.2018.1545771. [DOI] [PubMed] [Google Scholar]
  • 48.Kasherman, M. A., Premarathne, S., Burne, T. H. J., Wood, S. A. & Piper, M. The ubiquitin system: a regulatory hub for intellectual disability and autism spectrum disorder. Mol. Neurobiol.10.1007/s12035-020-01881-x (2020). [DOI] [PubMed]
  • 49.Sullivan PF, Daly MJ, O’Donovan M. Genetic architectures of psychiatric disorders: the emerging picture and its implications. Nat. Rev. Genet. 2012;13:537–551. doi: 10.1038/nrg3240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Martin AR, Daly MJ, Robinson EB, Hyman SE, Neale BM. Predicting polygenic risk of psychiatric disorders. Biol. Psychiatry. 2019;86:97–109. doi: 10.1016/j.biopsych.2018.12.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Sudre, G. et al. Mapping associations between polygenic risks for childhood neuropsychiatric disorders, symptoms of attention deficit hyperactivity disorder, cognition, and the brain. Mol. Psychiatry10.1038/s41380-019-0350-3 (2019). [DOI] [PMC free article] [PubMed]
  • 52.Albaugh MD, et al. White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents. Neuropsychopharmacology. 2019;44:1597–1603. doi: 10.1038/s41386-019-0383-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Demontis D, et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat. Genet. 2019;51:63–75. doi: 10.1038/s41588-018-0269-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Vuijk, P. J. et al. Translating discoveries in attention-deficit/hyperactivity disorder genomics to an outpatient child and adolescent psychiatric cohort. J. Am. Acad. Child Adolesc. Psychiatry10.1016/j.jaac.2019.08.004 (2019). [DOI] [PMC free article] [PubMed]
  • 55.Zhong, Y. et al. The association with quantitative response to attention-deficit/hyperactivity disorder medication of the previously identified neurodevelopmental network genes. J. Child Adolesc. Psychopharmacol. 10.1089/cap.2018.0164 (2020). [DOI] [PubMed]
  • 56.Lesch KP, et al. Molecular genetics of adult ADHD: converging evidence from genome-wide association and extended pedigree linkage studies. J. Neural Transm. 2008;115:1573–1585. doi: 10.1007/s00702-008-0119-3. [DOI] [PubMed] [Google Scholar]
  • 57.Aebi M, et al. Gene-set and multivariate genome-wide association analysis of oppositional defiant behavior subtypes in attention-deficit/hyperactivity disorder. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2016;171:573–588. doi: 10.1002/ajmg.b.32346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Weissflog L, et al. KCNIP4 as a candidate gene for personality disorders and adult ADHD. Eur. Neuropsychopharmacol. 2013;23:436–447. doi: 10.1016/j.euroneuro.2012.07.017. [DOI] [PubMed] [Google Scholar]
  • 59.Rovira, P. et al. Shared genetic background between children and adults with attention deficit/hyperactivity disorder. Neuropsychopharmacology10.1038/s41386-020-0664-5 (2020). [DOI] [PMC free article] [PubMed]
  • 60.Grünblatt E, et al. The involvement of the canonical Wnt-signaling receptor LRP5 and LRP6 gene variants with ADHD and sexual dimorphism: Association Study and Meta-Analysis. Am. J. Med. Genet. 2019;180:365–376. doi: 10.1002/ajmg.b.32695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Wang, L. J. et al. Gray matter volume and microRNA levels in patients with attention-deficit/hyperactivity disorder. Eur. Arch. Psychiatry Clin. Neurosci. 10.1007/s00406-019-01032-x (2019). [DOI] [PubMed]
  • 62.Grasby, K. L. et al. The genetic architecture of the human cerebral cortex. Science367, 10.1126/science.aay6690 (2020). [DOI] [PMC free article] [PubMed]
  • 63.Grünblatt E, Bartl J, Walitza S. Methylphenidate enhances neuronal differentiation and reduces proliferation concomitant to activation of Wnt signal transduction pathways. Transl. Psychiatry. 2018;8:51. doi: 10.1038/s41398-018-0096-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Sadasivan S, et al. Methylphenidate exposure induces dopamine neuron loss and activation of microglia in the basal ganglia of mice. PLoS ONE. 2012;7:e33693. doi: 10.1371/journal.pone.0033693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Dela Pena I, et al. Neuronal development genes are key elements mediating the reinforcing effects of methamphetamine, amphetamine, and methylphenidate. Psychopharmacology. 2013;230:399–413. doi: 10.1007/s00213-013-3168-8. [DOI] [PubMed] [Google Scholar]
  • 66.Schwarz R, et al. A preliminary study on methylphenidate-regulated gene expression in lymphoblastoid cells of ADHD patients. World J. Biol. Psychiatry. 2015;16:180–189. doi: 10.3109/15622975.2014.948064. [DOI] [PubMed] [Google Scholar]
  • 67.Sorokina AM, et al. Striatal transcriptome of a mouse model of ADHD reveals a pattern of synaptic remodeling. PLoS ONE. 2018;13:e0201553–e0201553. doi: 10.1371/journal.pone.0201553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Greenhill LL, et al. Impairment and deportment responses to different methylphenidate doses in children with ADHD: the MTA titration trial. J. Am. Acad. Child Adolesc. Psychiatry. 2001;40:180–187. doi: 10.1097/00004583-200102000-00012. [DOI] [PubMed] [Google Scholar]
  • 69.Loureiro-Vieira, S. & Costa, V. M. de Lourdes Bastos, M., Carvalho, F. & Capela, J. P. Methylphenidate effects in the young brain: friend or foe? Int. J. Dev. Neurosci.60, 34–47 (2017). [DOI] [PubMed]
  • 70.Gerlach M, Grünblatt E, Lange KW. Is the treatment with psychostimulants in children and adolescents with attention deficit hyperactivity disorder harmful for the dopaminergic system? Atten. Defic. Hyperact. Disord. 2013;5:71–81. doi: 10.1007/s12402-013-0105-y. [DOI] [PubMed] [Google Scholar]
  • 71.Tye KM, et al. Methylphenidate facilitates learning-induced amygdala plasticity. Nat. Neurosci. 2010;13:475–481. doi: 10.1038/nn.2506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Brown RT, et al. Treatment of attention-deficit/hyperactivity disorder: overview of the evidence. Pediatrics. 2005;115:e749–757. doi: 10.1542/peds.2004-2560. [DOI] [PubMed] [Google Scholar]
  • 73.Rubia K, Halari R, Christakou A, Taylor E. Impulsiveness as a tinning disturbance: neurocognitive abnormalities in attention-deficit hyperactivity disorder during temporal processes and normalization with methylphenidate. Philos. Trans. R. Soc. B. 2009;364:1919–1931. doi: 10.1098/rstb.2009.0014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Shaw P, et al. Psychostimulant treatment and the developing cortex in attention deficit hyperactivity disorder. Am. J. Psychiatry. 2009;166:58–63. doi: 10.1176/appi.ajp.2008.08050781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Han DD, Gu HH. Comparison of the monoamine transporters from human and mouse in their sensitivities to psychostimulant drugs. BMC Pharmacol. 2006;6:1–7. doi: 10.1186/1471-2210-6-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Bartl J, et al. Effects of methylphenidate: the cellular point of view. Atten. Defic. Hyperact Disord. 2010;2:225–232. doi: 10.1007/s12402-010-0039-6. [DOI] [PubMed] [Google Scholar]
  • 77.Bartl J, Mori T, Riederer P, Ozawa H, Grunblatt E. Methylphenidate enhances neural stem cell differentiation. J. Mol. Psychiatry. 2013;1:5. doi: 10.1186/2049-9256-1-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Bartl J, et al. The impact of methylphenidate and its enantiomers on dopamine synthesis and metabolism in vitro. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2017;79:281–288. doi: 10.1016/j.pnpbp.2017.07.002. [DOI] [PubMed] [Google Scholar]
  • 79.Lee TH, et al. Effects of ADHD therapeutic agents, methylphenidate and atomoxetine, on hippocampal neurogenesis in the adolescent mouse dentate gyrus. Neurosci. Lett. 2012;524:84–88. doi: 10.1016/j.neulet.2012.07.029. [DOI] [PubMed] [Google Scholar]
  • 80.Bengoa-Vergniory N, Kypta RM. Canonical and noncanonical Wnt signaling in neural stem/progenitor cells. Cell Mol. Life Sci. 2015;72:4157–4172. doi: 10.1007/s00018-015-2028-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Oakes HV, et al. Neurogenesis within the hippocampus after chronic methylphenidate exposure. J. Neural Transm. 2019;126:201–209. doi: 10.1007/s00702-018-1949-2. [DOI] [PubMed] [Google Scholar]
  • 82.Bae SM, Hong JY. The Wnt signaling pathway and related therapeutic drugs in autism spectrum disorder. Clin. Psychopharmacol. Neurosci. 2018;16:129–135. doi: 10.9758/cpn.2018.16.2.129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Mines MA, Jope RS. Brain region differences in regulation of Akt and GSK3 by chronic stimulant administration in mice. Cell Signal. 2012;24:1398–1405. doi: 10.1016/j.cellsig.2012.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Sánchez-Alegría K, Flores-León M, Avila-Muñoz E, Rodríguez-Corona N, Arias C. PI3K signaling in neurons: a central node for the control of multiple functions. Int. J. Mol. Sci. 2018;19:3725–3725. doi: 10.3390/ijms19123725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Lee DY. Roles of mTOR signaling in brain development. Exp. Neurobiol. 2015;24:177–177. doi: 10.5607/en.2015.24.3.177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Schmitz F, Chao MV, Wyse ATS. Methylphenidate alters Akt-mTOR signaling in rat pheochromocytoma cells. Int. J. Dev. Neurosci. 2019;73:10–18. doi: 10.1016/j.ijdevneu.2018.12.004. [DOI] [PubMed] [Google Scholar]
  • 87.Makrides M, Neumann M, Simmer K, Gibson R, Pater J. Are long-chain polyunsaturated fatty acids essential nutrients in infancy? Lancet. 1995;345:1463–1468. doi: 10.1016/s0140-6736(95)91035-2. [DOI] [PubMed] [Google Scholar]
  • 88.Emery S, et al. Omega-3 and its domain-specific effects on cognitive test performance in youths: a meta-analysis. Neurosci. Biobehav. Rev. 2020;112:420–436. doi: 10.1016/j.neubiorev.2020.02.016. [DOI] [PubMed] [Google Scholar]
  • 89.Mischoulon D, Freeman MP. Omega-3 fatty acids in psychiatry. Psychiatr. Clin. North Am. 2013;36:15–23. doi: 10.1016/j.psc.2012.12.002. [DOI] [PubMed] [Google Scholar]
  • 90.Zhao WN, et al. Activation of WNT and CREB signaling pathways in human neuronal cells in response to the Omega-3 fatty acid docosahexaenoic acid (DHA) Mol. Cell. Neurosci. 2019;99:103386–103386. doi: 10.1016/j.mcn.2019.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Yu JZ, Wang J, Sheridan SD, Perlis RH, Rasenick MM. N-3 polyunsaturated fatty acids promote astrocyte differentiation and neurotrophin production independent of cAMP in patient-derived neural stem cells. Mol. Psychiatry. 2020;435:147. doi: 10.1038/s41380-020-0786-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Shi JP, Fu W, Liu J. <Omega>-3 PUFA attenuates LPS-induced neuro-injury of neonatal rats through the PI3K/AKT pathway. Neuroscience. 2019;414:112–127. doi: 10.1016/j.neuroscience.2019.06.027. [DOI] [PubMed] [Google Scholar]
  • 93.Descorbeth M, Figueroa K, Serrano-Illan M, De Leon M. Protective effect of docosahexaenoic acid on lipotoxicity-mediated cell death in Schwann cells: implication of PI3K/AKT and mTORC2 pathways. Brain Behav. 2018;8:e01123. doi: 10.1002/brb3.1123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Hammamieh R, et al. Transcriptomic analysis of the effects of a fish oil enriched diet on murine brains. PLoS ONE. 2014;9:e90425. doi: 10.1371/journal.pone.0090425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Richardson AJ, Montgomery P. The Oxford-Durham Study: a randomized, controlled trial of dietary supplementation with fatty acids in children with developmental coordination disorder. Pediatrics. 2005;115:1360–1366. doi: 10.1542/peds.2004-2164. [DOI] [PubMed] [Google Scholar]
  • 96.Knochel C, et al. Omega 3 fatty acids: novel neurotherapeutic targets for cognitive dysfunction in mood disorders and schizophrenia? Curr. Neuropharmacol. 2015;13:663–680. doi: 10.2174/1570159X13666150630173047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Liu, J. J. & Green, P. John Mann, J., Rapoport, S. I. & Sublette, M. E. Pathways of polyunsaturated fatty acid utilization: implications for brain function in neuropsychiatric health and disease. Brain Res.1597, 220–246 (2015). [DOI] [PMC free article] [PubMed]
  • 98.Bos DJ, van Montfort SJ, Oranje B, Durston S, Smeets PA. Effects of omega-3 polyunsaturated fatty acids on human brain morphology and function: what is the evidence? Eur. Neuropsychopharmacol. 2016;26:546–561. doi: 10.1016/j.euroneuro.2015.12.031. [DOI] [PubMed] [Google Scholar]
  • 99.Sonuga-Barke EJS, et al. Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments. Am. J. Psychiatry. 2013;170:275–289. doi: 10.1176/appi.ajp.2012.12070991. [DOI] [PubMed] [Google Scholar]
  • 100.Fuentes-Albero M, Martínez-Martínez MI, Cauli O. Omega-3 long-chain polyunsaturated fatty acids intake in children with attention deficit and hyperactivity disorder. Brain Sci. 2019;9:120–120. doi: 10.3390/brainsci9050120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Yonezawa K, et al. Investigation into the plasma concentration of ω3 polyunsaturated fatty acids in Japanese attention-deficit hyperactivity disorder patients. J. Neural Transm. 2018;125:1395–1400. doi: 10.1007/s00702-018-1895-z. [DOI] [PubMed] [Google Scholar]
  • 102.Parletta N, Niyonsenga T, Duff J. Omega-3 and omega-6 polyunsaturated fatty acid levels and correlations with symptoms in children with attention deficit hyperactivity disorder, autistic spectrum disorder and typically developing controls. PLoS ONE. 2016;11:e0156432. doi: 10.1371/journal.pone.0156432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Chang JP, Su KP, Mondelli V, Pariante CM. Omega-3 polyunsaturated fatty acids in youths with attention deficit hyperactivity disorder: a systematic review and meta-analysis of clinical trials and biological studies. Neuropsychopharmacology. 2018;43:534–545. doi: 10.1038/npp.2017.160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Lopez-Vicente M, et al. Prenatal omega-6:omega-3 ratio and attention deficit and hyperactivity disorder symptoms. J. Pediatr. 2019;209:204–211.e204. doi: 10.1016/j.jpeds.2019.02.022. [DOI] [PubMed] [Google Scholar]
  • 105.Gustafsson PA, et al. EPA supplementation improves teacher-rated behaviour and oppositional symptoms in children with ADHD. Acta Paediatr. 2010;99:1540–1549. doi: 10.1111/j.1651-2227.2010.01871.x. [DOI] [PubMed] [Google Scholar]
  • 106.Richardson AJ, Puri BK. A randomized double-blind, placebo-controlled study of the effects of supplementation with highly unsaturated fatty acids on ADHD-related symptoms in children with specific learning difficulties. Prog. Neuro-Psychopharmacol. Biol. Psychiatry. 2002;26:233–239. doi: 10.1016/s0278-5846(01)00254-8. [DOI] [PubMed] [Google Scholar]
  • 107.Rodríguez C, et al. Supplementation with high-content docosahexaenoic acid triglyceride in attention-deficit hyperactivity disorder: a randomized double-blind placebo-controlled trial. Neuropsychiatr. Dis. Treat. 2019;15:1193–1209. doi: 10.2147/NDT.S206020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.San Mauro Martin, I. et al. Impulsiveness in children with attention-deficit/hyperactivity disorder after an 8-week intervention with the Mediterranean diet and/or omega-3 fatty acids: a randomised clinical trial. Neurologia10.1016/j.nrl.2019.09.007 (2019). [DOI] [PubMed]
  • 109.Widenhorn-Müller K, Schwanda S, Scholz E, Spitzer M, Bode H. Effect of supplementation with long-chain ω-3 polyunsaturated fatty acids on behavior and cognition in children with attention deficit/hyperactivity disorder (ADHD): a randomized placebo-controlled intervention trial. Prostaglandins Leukot. Essent. Fat. Acids. 2014;91:49–60. doi: 10.1016/j.plefa.2014.04.004. [DOI] [PubMed] [Google Scholar]
  • 110.Chang JP, et al. High-dose eicosapentaenoic acid (EPA) improves attention and vigilance in children and adolescents with attention deficit hyperactivity disorder (ADHD) and low endogenous EPA levels. Transl. Psychiatry. 2019;9:303. doi: 10.1038/s41398-019-0633-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Bloch MH, Qawasmi A. Omega-3 fatty acid supplementation for the treatment of children with attention-deficit/hyperactivity disorder symptomatology: systematic review and meta-analysis. J. Am. Acad. Child Adolesc. Psychiatry. 2011;50:991–1000. doi: 10.1016/j.jaac.2011.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Bartl J, Walitza S, Grünblatt E. Enhancement of cell viability after treatment with polyunsaturated fatty acids. Neurosci. Lett. 2014;559:56–60. doi: 10.1016/j.neulet.2013.11.023. [DOI] [PubMed] [Google Scholar]
  • 113.Firouzkouhi Moghaddam M, Shamekhi M, Rakhshani T. Effectiveness of methylphenidate and PUFA for the treatment of patients with ADHD: a double-blinded randomized clinical trial. Electron. Physician. 2017;9:4412–4418. doi: 10.19082/4412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Anand P, Sachdeva A. Effect of poly unsaturated fatty acids administration on children with attention deficit hyperactivity disorder: a randomized controlled trial. J. Clin. Diagn. Res. 2016;10:OC01–OC05. doi: 10.7860/JCDR/2016/20423.8471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Mozaffari-Khosravi H, Yassini-Ardakani M, Karamati M, Shariati-Bafghi SE. Eicosapentaenoic acid versus docosahexaenoic acid in mild-to-moderate depression: a randomized, double-blind, placebo-controlled trial. Eur. Neuropsychopharmacol. 2013;23:636–644. doi: 10.1016/j.euroneuro.2012.08.003. [DOI] [PubMed] [Google Scholar]
  • 116.Jazayeri S, et al. Comparison of therapeutic effects of omega-3 fatty acid eicosapentaenoic acid and fluoxetine, separately and in combination, in major depressive disorder. Aust. N.Z. J. Psychiatry. 2008;42:192–198. doi: 10.1080/00048670701827275. [DOI] [PubMed] [Google Scholar]
  • 117.Pusceddu MM, Kelly P, Stanton C, Cryan JF, Dinan TG. N-3 polyunsaturated fatty acids through the lifespan: implication for psychopathology. Int. J. Neuropsychopharmacol. 2016;19:1–23. doi: 10.1093/ijnp/pyw078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Shirooie S, et al. Targeting mTORs by omega-3 fatty acids: a possible novel therapeutic strategy for neurodegeneration? Pharmacol. Res. 2018;135:37–48. doi: 10.1016/j.phrs.2018.07.004. [DOI] [PubMed] [Google Scholar]
  • 119.Giacobbe J, Benoiton B, Zunszain P, Pariante CM, Borsini A. The anti-inflammatory role of omega-3 polyunsaturated fatty acids metabolites in pre-clinical models of psychiatric, neurodegenerative, and neurological disorders. Front Psychiatry. 2020;11:122. doi: 10.3389/fpsyt.2020.00122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Deyama S, et al. Resolvin D1 and D2 reverse lipopolysaccharide-induced depression-like behaviors through the mTORC1 signaling pathway. Int J. Neuropsychopharmacol. 2017;20:575–584. doi: 10.1093/ijnp/pyx023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Deyama S, et al. Resolvin E1/E2 ameliorate lipopolysaccharide-induced depression-like behaviors via ChemR23. Psychopharmacology. 2018;235:329–336. doi: 10.1007/s00213-017-4774-7. [DOI] [PubMed] [Google Scholar]
  • 122.Gillies, D., Sinn, J. K. H., Lad, S. S., Leach, M. J. & Ross, M. J. Polyunsaturated fatty acids (PUFA) for attention deficit hyperactivity disorder (ADHD) in children and adolescents. Cochrane Database of Syst. Rev.2012, CD007986 (2012). [DOI] [PMC free article] [PubMed]
  • 123.Mohammadzadeh S, Baghi N, Yousefi F, Yousefzamani B. Effect of omega-3 plus methylphenidate as an alternative therapy to reduce attention deficit-hyperactivity disorder in children. Korean J. Pediatrics. 2019;62:360–366. doi: 10.3345/kjp.2018.06982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Kiliaan A, Königs A. Critical appraisal of omega-3 fatty acids in attention-deficit/hyperactivity disorder treatment. Neuropsychiatr. Dis. Treat. 2016;12:1869–1882. doi: 10.2147/NDT.S68652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Mill J, Petronis A. Pre- and peri-natal environmental risks for attention-deficit hyperactivity disorder (ADHD): the potential role of epigenetic processes in mediating susceptibility. J. Child Psychol. Psychiatry. 2008;49:1020–1030. doi: 10.1111/j.1469-7610.2008.01909.x. [DOI] [PubMed] [Google Scholar]
  • 126.Spiers H, et al. Methylomic trajectories across human fetal brain development. Genome Res. 2015;25:338–352. doi: 10.1101/gr.180273.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Chan JC, Nugent BM, Bale TL. Parental advisory: maternal and paternal stress can impact offspring neurodevelopment. Biol. Psychiatry. 2018;83:886–894. doi: 10.1016/j.biopsych.2017.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Sagiv SK, Epstein JN, Bellinger DC, Korrick SA. Pre- and postnatal risk factors for ADHD in a nonclinical pediatric population. J. Atten. Disord. 2013;17:47–57. doi: 10.1177/1087054711427563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Franke B, et al. Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan. Eur. Neuropsychopharmacol. 2018;28:1059–1088. doi: 10.1016/j.euroneuro.2018.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Thapar A, et al. Prenatal smoking might not cause attention-deficit/hyperactivity disorder: evidence from a novel design. Biol. Psychiatry. 2009;66:722–727. doi: 10.1016/j.biopsych.2009.05.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Knopik VS, et al. Smoking during pregnancy and ADHD risk: a genetically informed, multiple-rater approach. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2016;171:971–981. doi: 10.1002/ajmg.b.32421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Sciberras E, Mulraney M, Silva D, Coghill D. Prenatal risk factors and the etiology of ADHD—review of existing evidence. Curr. Psychiatry Rep. 2017;19:1. doi: 10.1007/s11920-017-0753-2. [DOI] [PubMed] [Google Scholar]
  • 133.Gustavson, K. et al. Smoking in pregnancy and child ADHD. Pediatrics139, 10.1542/peds.2016-2509 (2017). [DOI] [PMC free article] [PubMed]
  • 134.Auerbach JG, Zilberman-Hayun Y, Atzaba-Poria N, Berger A. The contribution of maternal ADHD symptomatology, maternal DAT1, and home atmosphere to child ADHD symptomatology at 7 years of age. J. Abnorm. Child Psychol. 2017;45:415–427. doi: 10.1007/s10802-016-0230-0. [DOI] [PubMed] [Google Scholar]
  • 135.Wolford E, et al. Maternal depressive symptoms during and after pregnancy are associated with attention-deficit/hyperactivity disorder symptoms in their 3- to 6-year-old children. PLoS ONE. 2017;12:e0190248. doi: 10.1371/journal.pone.0190248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Okano, L., Ji, Y., Riley, A. W. & Wang, X. Maternal psychosocial stress and children’s ADHD diagnosis: a prospective birth cohort study. J. Psychosom. Obstetr. Gynecol.10.1080/0167482X.2018.1468434 (2018). [DOI] [PMC free article] [PubMed]
  • 137.Alexander N, et al. Impact of antenatal synthetic glucocorticoid exposure on endocrine stress reactivity in term-born children. J. Clin. Endocrinol. Metab. 2012;97:3538–3544. doi: 10.1210/jc.2012-1970. [DOI] [PubMed] [Google Scholar]
  • 138.Odaka H, Adachi N, Numakawa T. Impact of glucocorticoid on neurogenesis. Neural Regen. Res. 2017;12:1028–1035. doi: 10.4103/1673-5374.211174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Moors, M. et al. Dickkopf 1 mediates glucocorticoid-induced changes in human neural progenitor cell proliferation and differentiation. Toxicol. Sci.10.1093/toxsci/kfr304 (2012). [DOI] [PubMed]
  • 140.Russell, V. A. et al. Response variability in attention-deficit/hyperactivity disorder: a neuronal and glial energetics hypothesis. Behav. Brain Funct.10.1186/1744-9081-2-30 (2006). [DOI] [PMC free article] [PubMed]
  • 141.Bock J, Breuer S, Poeggel G, Braun K. Early life stress induces attention-deficit hyperactivity disorder (ADHD)-like behavioral and brain metabolic dysfunctions: functional imaging of methylphenidate treatment in a novel rodent model. Brain Struct. Funct. 2017;222:765–780. doi: 10.1007/s00429-016-1244-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Wilson, C. A., Vazdarjanova, A. & Terry, A. V. Exposure to variable prenatal stress in rats: effects on anxiety-related behaviors, innate and contextual fear, and fear extinction. Behav. Brain Res.10.1016/j.bbr.2012.10.003 (2013). [DOI] [PMC free article] [PubMed]
  • 143.Sontag TA, Tucha O, Walitza S, Lange KW. Animal models of attention deficit/hyperactivity disorder (ADHD): a critical review. Atten. Defic. Hyperact. Disord. 2010;2:1–20. doi: 10.1007/s12402-010-0019-x. [DOI] [PubMed] [Google Scholar]
  • 144.Grünblatt, E. et al. Characterization of cognitive deficits in spontaneously hypertensive rats, accompanied by brain insulin receptor dysfunction. J. Mol. Psychiatry10.1186/s40303-015-0012-6 (2015). [DOI] [PMC free article] [PubMed]
  • 145.Cheng PW, et al. Wnt signaling regulates blood pressure by downregulating a GSK-3beta-mediated pathway to enhance insulin signaling in the central nervous system. Diabetes. 2015;64:3413–3424. doi: 10.2337/db14-1439. [DOI] [PubMed] [Google Scholar]
  • 146.Bernardi S, et al. The lifetime impact of attention deficit hyperactivity disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Psychol. Med. 2012;42:875–887. doi: 10.1017/S003329171100153X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Combs MA, Canu WH, Broman-Fulks JJ, Rocheleau CA, Nieman DC. Perceived stress and ADHD symptoms in adults. J. Atten. Disord. 2015;19:425–434. doi: 10.1177/1087054712459558. [DOI] [PubMed] [Google Scholar]
  • 148.Corominas-Roso, M. et al. Cortisol response to stress in adults with attention deficit hyperactivity disorder. Int. J. Neuropsychopharmacol. 18, 10.1093/ijnp/pyv027 (2015). [DOI] [PMC free article] [PubMed]
  • 149.Isaksson, J., Nilsson, K. W. & Lindblad, F. The Pressure–Activation–Stress scale in relation to ADHD and cortisol. Eur. Child Adolesc. Psychiatry10.1007/s00787-014-0544-9 (2014). [DOI] [PubMed]
  • 150.Kamradt, J. M., Momany, A. M. & Nikolas, M. A. A meta-analytic review of the association between cortisol reactivity in response to a stressor and attention-deficit hyperactivity disorder. Atten. Defic. Hyperact. Disord.10.1007/s12402-017-0238-5 (2018). [DOI] [PMC free article] [PubMed]
  • 151.Scassellati C, Bonvicini C, Faraone SV, Gennarelli M. Biomarkers and attention-deficit/hyperactivity disorder: a systematic review and meta-analyses. J. Am. Acad. Child Adolesc. Psychiatry. 2012;51:1003–1019 e1020. doi: 10.1016/j.jaac.2012.08.015. [DOI] [PubMed] [Google Scholar]
  • 152.Isaksson, J., Nilsson, K. W., Nyberg, F., Hogmark, Å. & Lindblad, F. Cortisol levels in children with attention-deficit/hyperactivity disorder. J. Psychiatr. Res.10.1016/j.jpsychires.2012.08.021 (2012). [DOI] [PubMed]
  • 153.Corominas M, et al. Cortisol responses in children and adults with attention deficit hyperactivity disorder (ADHD): a possible marker of inhibition deficits. Atten. Defic. Hyperact. Disord. 2012;4:63–75. doi: 10.1007/s12402-012-0075-5. [DOI] [PubMed] [Google Scholar]
  • 154.Berardelli R, et al. Role of mineralocorticoid receptors on the hypothalamus-pituitary-adrenal axis in humans. Endocrine. 2013;43:51–58. doi: 10.1007/s12020-012-9750-8. [DOI] [PubMed] [Google Scholar]
  • 155.Criado-Marrero M, et al. Dynamic expression of FKBP5 in the medial prefrontal cortex regulates resiliency to conditioned fear. Learn Mem. 2017;24:145–152. doi: 10.1101/lm.043000.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Isaksson, J., Allen, M., Nilsson, K. W. & Lindblad, F. Polymorphisms in the FK506 binding protein 5 gene are associated with attention deficit hyperactivity disorder and diurnal cortisol levels. Acta Paediatr.10.1111/apa.13056 (2015). [DOI] [PubMed]
  • 157.Zannas, A. S. & Binder, E. B. Gene-environment interactions at the FKBP5 locus: sensitive periods, mechanisms and pleiotropism. Genes Brain Behav.10.1111/gbb.12104 (2014). [DOI] [PubMed]
  • 158.Song C, Li X, Kang Z, Kadotomi Y. Omega-3 fatty acid ethyl-eicosapentaenoate attenuates IL-1beta-induced changes in dopamine and metabolites in the shell of the nucleus accumbens: involved with PLA2 activity and corticosterone secretion. Neuropsychopharmacology. 2007;32:736–744. doi: 10.1038/sj.npp.1301117. [DOI] [PubMed] [Google Scholar]
  • 159.Laugero KD, et al. Plasma omega 3 polyunsaturated fatty acid status and monounsaturated fatty acids are altered by chronic social stress and predict endocrine responses to acute stress in titi monkeys. Prostaglandins Leukot. Ess. Fat. Acids. 2011;84:71–78. doi: 10.1016/j.plefa.2010.12.003. [DOI] [PubMed] [Google Scholar]
  • 160.Larrieu T, et al. Nutritional omega-3 modulates neuronal morphology in the prefrontal cortex along with depression-related behaviour through corticosterone secretion. Transl. Psychiatry. 2014;4:e437. doi: 10.1038/tp.2014.77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Macfarlane DP, Forbes S, Walker BR. Glucocorticoids and fatty acid metabolism in humans: fuelling fat redistribution in the metabolic syndrome. J. Endocrinol. 2008;197:189–204. doi: 10.1677/JOE-08-0054. [DOI] [PubMed] [Google Scholar]
  • 162.Yager S, Forlenza MJ, Miller GE. Depression and oxidative damage to lipids. Psychoneuroendocrinology. 2010;35:1356–1362. doi: 10.1016/j.psyneuen.2010.03.010. [DOI] [PubMed] [Google Scholar]
  • 163.Re S, et al. Improved generation of induced pluripotent stem cells from hair derived keratinocytes—a tool to study neurodevelopmental disorders as ADHD. Front Cell Neurosci. 2018;12:321. doi: 10.3389/fncel.2018.00321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Ross CA, Akimov SS. Human-induced pluripotent stem cells: potential for neurodegenerative diseases. Hum. Mol. Genet. 2014;23:R17–R26. doi: 10.1093/hmg/ddu204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Sullivan JM, De Rubeis S, Schaefer A. Convergence of spectrums: neuronal gene network states in autism spectrum disorder. Curr. Opin. Neurobiol. 2019;59:102–111. doi: 10.1016/j.conb.2019.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]

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