Home Medicine The role of Down syndrome cell adhesion molecule in Down syndrome
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The role of Down syndrome cell adhesion molecule in Down syndrome

  • Ty Hergenreder , Tao Yang and Bing Ye ORCID logo EMAIL logo
Published/Copyright: February 9, 2024

Abstract

Down syndrome (DS) is caused by the presence of an extra copy of the entire or a portion of human chromosome 21 (HSA21). This genomic alteration leads to elevated expression of numerous HSA21 genes, resulting in a variety of health issues in individuals with DS. Among the genes located in the DS “critical region” of HSA21, Down syndrome cell adhesion molecule (DSCAM) plays an important role in neuronal development. There is a growing body of evidence underscoring DSCAM’s involvement in various DS-related disorders. This review aims to provide a concise overview of the established functions of DSCAM, with a particular focus on its implications in DS. We delve into the roles that DSCAM plays in DS-associated diseases. In the concluding section of this review, we explore prospective avenues for future research to further unravel DSCAM’s role in DS and opportunities for therapeutic treatments.

Challenges of discovering the molecular mechanisms underlying Down syndrome

Down syndrome (DS) is a chromosomal disorder that is caused by the presence of a complete or partial extra copy of human chromosome 21 (HSA21), a genetic condition called trisomy 21 [12]. It occurs in about one in 800 live births worldwide [3]. Advanced maternal age at conception is a key risk factor for trisomy 21 [45], as is true for all human autosomal trisomy. DS affects multiple systems and causes both structural and functional defects that lead to many health issues [6]. In neonatal DS patients, about 40 % have congenital heart diseases [7], 12 % have congenital gastrointestinal malformation [89], and 3 % have imperforate anuses that require immediate operation [10]. In childhood and early adolescence, most DS patients have eye disorders and middle ear deficits [1112]. About 3 % of patients have dense congenital cataracts that must be extracted after birth to allow light to pass into the retina [13]. Some patients develop sleep apnea or suffer from seizures [1415]. During the stages of childhood and early adolescence, most patients show moderate intellectual disability. In rare cases that the patients have little to no cognitive deficits, they often do not possess the intellectual and behavioral capabilities to achieve complete independence [16]. DS is the most commonly identified genetic cause of intellectual disabilities [17], and the patients have developmental abnormalities causing smaller brains, cortical dysplasia, and hippocampal dysplasia [1819]. These abnormalities might be related to the cognitive impairments and sensory problems [20]. As DS individuals age, almost all patients aged 40 years and above develop indications of Alzheimer’s disease [21]. About 30 % of DS individuals have early onset Alzheimer’s disease at the age of 50, which rises to 50 % at the age of 60. The life expectancy for individuals with DS is approximately 60 years old, much lower than the average life expectancy, with congenital heart disease being the leading cause of death [2223].

Because DS is a chromosomal disorder, a major challenge in DS research is to identify genes that contribute to specific medical conditions. Although HSA21 is the smallest human autosome, GENCODE/ENSEMBL lists 233 protein-coding genes, 423 non-protein-coding genes, and 188 pseudogenes on HSA21 [24]. Many genes are yet to be annotated on this chromosome [25]. Full trisomy 21 increases one copy of every single HSA21 gene, and the expression of most HSA21 genes thus increases [26]. Approaches for studying single-gene disorders are often not applicable or ideal for identifying the disease-causing gene from the trisomic background. Moreover, the symptoms of DS are influenced by overexpression of multiple genes on HSA21, which may work together to cause polygenic symptoms. For example, overexpression of both Down syndrome cell adhesion molecule (DSCAM) and α2 chain of type VI collagen (Col6A2) triggers congenital heart disease, while DSCAM or Col6A2 overexpression individually does not cause heart disease in mice [27]. It is usually difficult to test each individual gene, not to mention the interactions among HSA21 genes, for their contributions to DS-related symptoms. Comprehensively testing each gene or a group of genes and associating them with specific symptoms is a monumental task. As a result, our understanding of the molecular mechanisms that underlie specific diseases in DS is very limited. Yet, the identification of the genes and their interactions that underlie the pathogenesis of individual symptoms of DS is a key step for the development of therapy for the treatment of these symptoms.

One approach for identifying HSA21 genes that contribute to DS-related medical conditions is genetic mapping using partial trisomies, with the idea that the missing part of HSA21 correlates with the missing symptom. Reporting negative or positive clinical diagnoses in the presence or absence of various trisomy 21 regions has allowed researchers to correlate various regions of HSA21 to these health complications [28]. For example, overexpression of β-amyloid precursor protein (APP) has been linked to increased brain β-amyloid and early on-set Alzheimer’s disease in DS patients. An individual with partial trisomy 21 missing the extra genetic copy of APP did not develop plaques indicative of the early onset of Alzheimer’s disease and did not present with the early onset of the disease at any point of this individual’s life [29]. From these types of studies, the distal half of the long arm, 21q22, was found to harbor most of the gene transcribing sites for the chromosome and has been termed the “Down syndrome critical region” [28].

The DSCAM gene, which is the focus of this review, is on 21q22. The discovery of DSCAM’s role in DS-related pathology benefited from studies in Drosophila [30]. The simplicity, high efficiency, and well-established genetic tools available in Drosophila make it an excellent model for screening transgenes to evaluate their effects on cells. Studies of the fly homologous gene provided the guidance for investigations in mouse models of DS and led to the discovery of DSCAM’s contribution to excessive GABAergic synapses in mouse models [31].

The roles of DSCAM in neuronal development

DSCAM was initially discovered in an effort to characterize genes located in the DS critical region [32]. The name came from the gene’s location within the DS critical region and the homology of the protein that it encodes to cell adhesion molecules. The relevance of DSCAM to the pathogenesis of DS was only established later, after its functions in normal development was discovered through studies in various species, including those in Drosophila.

The Drosophila melanogaster homolog of DSCAM, termed Dscam, is subject to extensive alternative splicing to create up to 38,016 variants [33]. These variants allow for recognition of neurites of the same neuron (termed ‘self-recognition’), through which neurites from the same neuron avoid each other for appropriate arbor formation [34], [35], [36], [37]. Loss of Dscam function in Drosophila leads to abnormal dendritic crossing [353839]. Additionally, diversity of the Dscam extracellular domain via alternative splicing is required for the specificity of synapse formation and axonal guidance [3740], [41], [42], [43], [44].

Mammalian DSCAM genes lack the splicing diversity, but are also involved in neurite self-avoidance. In DSCAM knockout mice, dopaminergic amacrine cells in the retina exhibit an increase in soma clusters and neurite fasciculation in comparison to wild type controls [45], [46], [47]. This effect is absent in retinal cells that do not normally express DSCAM [48]. These results suggest that DSCAM modulates the distribution of the soma and neurites to form proper arbors. This discovery leads to the hypothesis that DSCAM reduces cell type-specific adhesion, such as that mediated by cadherins, and consequently allows the somas to be separated from each other. This hypothesis has been supported by a partial reduction in soma clustering and neurite fasciculation in DSCAM knockout cells by reducing the amount of cadherin-3, cadherin-6, and α-catenin [49]. Inversely, increasing the expression of cadherin-3 in the absence of DSCAM leads to an even greater amount of soma clustering and neurite fasciculation in comparison to cells that only missing DSCAM.

Later studies support the notion that DSCAM weakens cadherin-mediated cell adhesion. DSCAM regulates neuronal delamination at the apical endfeet of neuronal stem cells in the dorsal midbrain by suppressing the RAPGEF2-Rap1-N-cadherin signaling cascade. DSCAM associates with RapGEF2 to inactivate Rap1, which is required for the localization of N-cadherin on membranes. DSCAM knockdown increases N-cadherin localization and ventricular attachment area in the apical endfeet of neuronal stem cells during development. This increased attachment impairs neuronal detachment from the ventricles and restricts neuronal delamination [50]. Additionally, DSCAM is required for migrating pyramidal neurons of the cortex to bypass their post-migratory predecessors during upper cortical layer development [51]. Loss of DSCAM reduces the thickness of the neocortex in early postnatal days [52]. Particularly, the upper cortical layers (II–IV) are thinner in DSCAM−/− cortices compared with wild-type or heterozygous cortices, while the deeper cortical layers (V–VI) are unaffected. This phenotype is not caused by changes in neurogenesis or cell death [5152]. Rather, in DSCAM-deficient cortices, migrating neurons stop prematurely at the front of the cortical plate, leading to thinner upper cortical layers with higher density of neurons [51]. This function of DSCAM is achieved by weakening N-cadherin-mediated cell adhesion in the upper cortical plate [51].

Studies in different species have demonstrated that DSCAM regulates the growth of presynaptic terminals or axons, a function that is independent of its molecular diversity in Drosophila. Drosophila neurons homozygous for Dscam null mutations display significantly decreased presynaptic terminals [30] (Figure 1A). Conversely, overexpression of Dscam results in overgrowth of these terminals. The extent of the overgrowth is proportional to the level of Dscam overexpression. This result raised the possibility that Dscam is involved in the pathogenesis of neuronal defects in DS. Later studies found that this function of DSCAM is conserved in mammals. In mice, axon growth of retinal ganglion cells (RGCs) is impaired in DSCAM loss-of-function mutants [53]. Conversely, RGC axons overgrow in DSCAM gain-of-function mutants. Moreover, studies on GABAergic inhibitory neurons in the mouse neocortex showed decreased presynaptic terminals, bouton number, and bouton size in mice that are homozygous for DSCAM loss-of-function mutations [31]. The effect of DSCAM on GABAergic presynaptic terminals is proportional to the level of DSCAM in the neocortex.

Figure 1: 
DSCAM expression levels determine the sizes of presynaptic terminals in Drosophila and mouse neurons. (A) Presynaptic terminal length of Drosophila C4da neurons are determined by Dscam levels. Low Dscam levels (Dscam

18
) lead to a decrease in presynaptic terminal length in comparison to wild-type (wt) neurons, while overexpression of Dscam leads to an increase. Scale bar: 10 µm. (B) The Ts65Dn (“Trisomy”) mouse model of DS displays an increase in the lengths of presynaptic terminals of the GABAergic chandelier cells in comparison to euploid mice. Normalizing DSCAM gene dosage to two copies in the trisomy mice (trisomy:DSCAM+/+/−) eliminates the overgrowth of chandelier presynaptic terminals. (C) The excessive GABAergic synapses in trisomy mice lead to an increase in the frequency of mIPSCs, which is eliminated in trisomy mice that carry only two copies of the DSCAM gene (trisomy:DSCAM+/+/−). Whether the excessive GABAergic synapses that are caused by DSCAM overexpression in the trisomic neocortex lead to cognitive deficits or other brain disorders remains to be determined. Panel A is adapted from Kim et al. [30] with permission from the publisher. Panel B and C are adapted from Liu et al. [31].
Figure 1:

DSCAM expression levels determine the sizes of presynaptic terminals in Drosophila and mouse neurons. (A) Presynaptic terminal length of Drosophila C4da neurons are determined by Dscam levels. Low Dscam levels (Dscam 18 ) lead to a decrease in presynaptic terminal length in comparison to wild-type (wt) neurons, while overexpression of Dscam leads to an increase. Scale bar: 10 µm. (B) The Ts65Dn (“Trisomy”) mouse model of DS displays an increase in the lengths of presynaptic terminals of the GABAergic chandelier cells in comparison to euploid mice. Normalizing DSCAM gene dosage to two copies in the trisomy mice (trisomy:DSCAM+/+/−) eliminates the overgrowth of chandelier presynaptic terminals. (C) The excessive GABAergic synapses in trisomy mice lead to an increase in the frequency of mIPSCs, which is eliminated in trisomy mice that carry only two copies of the DSCAM gene (trisomy:DSCAM+/+/−). Whether the excessive GABAergic synapses that are caused by DSCAM overexpression in the trisomic neocortex lead to cognitive deficits or other brain disorders remains to be determined. Panel A is adapted from Kim et al. [30] with permission from the publisher. Panel B and C are adapted from Liu et al. [31].

DSCAM has also been reported to slow down the maturation of dendritic spines in excitatory neurons. DSCAM deficiency leads to more dendritic spines at earlier postnatal days (e.g., P12 and P21), but not later postnatal days (e.g., P42), in the neocortex [5254]. These mice also exhibit increased glutamatergic transmission – as measured by miniature excitatory postsynaptic currents – in layer 2 and 3 of sensory cortices [54]. The extracellular domain of DSCAM interacts with neuroligin1 (NLGN1) to inhibit the NLGN1-neurexin1β interaction [54]. DSCAM deficiency results in an enrichment of NLGN1 in synaptic membranes, which may cause precocious maturation of dendritic spines. Ablation of DSCAM in neurons and astrocytes leads to deficits in social novelty tests and enhances repetitive behaviors (e.g., circling and grooming) [54].

The contribution of DSCAM to the pathogenesis of DS and associated disorders

The protein levels of DSCAM are elevated in brain tissues of several brain disorders, including DS, intractable epilepsy, and bipolar disorder [55], [56], [57]. In DS, DSCAM is believed to play a role in intellectual disability [303158], [59], [60], [61], [62], congenital heart disease [22232763], and congenital intestinal obstruction (Hirschsprung’s disease) [226465].

DSCAM’s role in synaptic development in DS

The importance of Dscam levels in neuron development was established by studies conducted in the class IV dendritic arborization (C4da) neurons of the Drosophila larva. These neurons are a classic model for studying dendrite and axon development [66] and were used to establish Dscam’s role in dendrite self-avoidance [353839]. Overexpression of Dscam in C4da neurons increases their presynaptic terminals without increasing dendritic growth [30] (Figure 1A). Importantly, this increase is due to Dscam expression levels and independent of ectodomain diversity. Additional studies show that triplicating the Dscam gene induces abnormal branching of sensory axons in adult flies [67] and alters synaptic transmission at the neuromuscular junction of Drosophila larvae [68].

These discoveries in Drosophila set the stage for investigations of DSCAM’s contribution to presynaptic development in DS. The size of presynaptic terminals is typically much larger in mammals than in Drosophila. Moreover, axons are usually projected longer distances in mammals than in Drosophila. These make the evaluation of presynaptic terminals more difficult in mammals. GABAergic interneurons usually elaborate their axons around the cell body, making it easier to identify their presynaptic terminals. Importantly, it is well established that DS brains have an excessive amount of GABAergic synapses [58], [59], [60], [61], [62]. For these reasons, the first study testing DSCAM’s contribution to presynaptic development was conducted on GABAergic neurons.

Liu et al. carried out this study in Ts65Dn mice, an animal model containing an extra copy for two-thirds of the homologous chromosomes of HSA21 [69]. Studies have shown increased GABAergic inhibition that impairs cognitive functions in these mice, which are mitigated by GABAergic receptor antagonists [6070], [71], [72], [73]. The number and size of GABAergic synapses are increased in the Ts65Dn neocortex [74], [75], [76]. By crossing Ts65Dn mice with heterozygous DSCAM2j mice, a DSCAM loss-of-function mutant [77], [78], [79], it is possible to generate Ts65Dn mice with two functional DSCAM alleles and one nonfunctional DSCAM allele (Ts65Dn:DSCAM+/+/−) for comparisons with euploid and Ts65Dn mice [31]. The number of GABAergic synapses formed around the cell bodies of excitatory pyramidal neurons in the neocortex was increased in Ts65Dn, but not in Ts65Dn:DSCAM+/+/−. Moreover, the presynaptic terminals of chandelier cells, which are GABAergic inhibitory neurons that synapse onto the axon initial segment of pyramidal neurons [80], [81], [82], exhibited increased axonal cartridge length, bouton number, and bouton size in Ts65Dn but not in Ts65Dn:DSCAM+/+/− (Figure 1B). Consistent with the morphological phenotypes in GABAergic presynapses, Ts65Dn mice showed an increase in the frequency of miniature inhibitory synaptic current (mIPSC) frequency, in Ts65Dn but not in Ts65Dn:DSCAM+/+/− (Figure 1C). By specifically correcting DSCAM gene dosage in GABAergic neurons with the Cre-Lox approach, it was determined that the synaptic phenotypes are caused by the triplication of the DSCAM gene within GABAergic neurons [31] (Figure 2).

Figure 2: 
Increasing Dscam levels activates Abl through its cytoplasmic domain, leading to the overgrowth of presynaptic terminals in Drosophila neurons. Image credit: Gabriella Sterne.
Figure 2:

Increasing Dscam levels activates Abl through its cytoplasmic domain, leading to the overgrowth of presynaptic terminals in Drosophila neurons. Image credit: Gabriella Sterne.

A study in Drosophila proposed a therapeutic approach for treating the neuronal deficits that are caused by DSCAM overexpression. Similar to overexpression of Dscam, overexpression of Abelson tyrosine kinase (Abl) increases presynaptic terminal growth in Drosophila neurons [308384]. While loss of Abl leading to only a minor reduction in presyanptic terminals, it completely blocked the overgrowth caused by Dscam overexpression, demonstrating that overexpressed Dscam requires Abl to promote the overgrowth of presynaptic terminals [84]. Additionally, Dscam was shown to bind to and activate Abl. These findings led to the idea that neurological disorders caused by DSCAM overexpression could be treated by inhibiting Abl activity. In a proof-of-principle test, treating Dscam overexpressed animals with nilotinib or bafetinib, two FDA-approved Abl inhibitors [85], [86], [87], mitigated the overgrowth of presynaptic terminals [84].

DSCAM’s role in altering retinogeniculate refinement in DS

The lateral geniculate nucleus (LGN) is a crucial relay station in the visual pathway, receiving axon input from RGCs and transmitting this visual information to the primary visual cortex. The arrangement of axons from the two eyes in the LGN is essential for the formation of binocular vision and depth perception. During development, the axons from the two eyes initially intermingle in the LGN, but later segregate into distinct layers before eye opening. It is crucial for the brain to process visual information from each eye separately. Instead of a typical pattern with some overlap between ipsilateral and contralateral axons, DS mouse models exhibit a supranormal separation without overlap [88]. Although the dosage of the DSCAM gene is positively correlated with the refinement of the LGN, normalizing DSCAM gene dosage to two copies did not eliminate the over-segregation of the axons from the two eyes in the Ts65Dn trisomy mice [88]. DSCAM might still play a role in the over-segregation phenotype in LGN, but additional HSA21 genes are likely involved (Figure 3).

Figure 3: 
FMRP binds to Dscam mRNA to block translation. Loss of FMRP increases the level of Dscam proteins, likely by blocking the translation of Dscam mRNAs.
Figure 3:

FMRP binds to Dscam mRNA to block translation. Loss of FMRP increases the level of Dscam proteins, likely by blocking the translation of Dscam mRNAs.

A molecular link between DS and fragile X syndrome (FXS) through DSCAM expression

FXS, which is caused by loss of the gene fragile X mental retardation (FMR), is another common cause of intellectual disability [89]. FMR encodes the Fragile X mental retardation protein (FMRP), which binds to its target mRNAs to repress their translation [9091]. FMRP targets include the mRNAs of several HSA21 genes, including DSCAM, DYRK1A, NCAM2, and APP [92]. Like DS patients, FXS patients exhibit increased expression of DSCAM, DYRK1A, NCAM2, and APP. In DS patient-derived pluripotent stem cell models, an acute increase in FMRP reduces the expression levels of DS-related proteins and reverses 40 % of global transcriptional changes [92].

Two separate studies in rodents suggested that FMRP binds directly to mRNAs of DSCAM in brain tissues [9394], which was corroborated by two independent studies in Drosophila [3067]. The Drosophila studies further demonstrated that FMRP represses Dscam expression. Both the loss of FMRP and the overexpression of Dscam lead to overgrowth of presynaptic terminals in fly neurons. Epistasis tests showed that FMRP requires Dscam to promote presynaptic growth. In C4da neurons, both Dscam overexpression and loss of FMRP function require Abl to cause presynaptic overgrowth [84]. Moreover, Abl inhibitors rescue the overgrown presynaptic terminals in C4da neurons that overexpress Dscam or carry FMRP loss-of-function mutations. Therefore, Abl might be a common target for treating aspects of DS and FXS (Figure 4).

Figure 4: 
Knockdown of DSCAM rescues the neurogenesis defects in organoids derived from DS cells. Neurons in the upper cortical layer express SATB2 (red). Hoechst dye stains all cells (blue). Adapted from Tang et al. [99] with permission from the publisher.
Figure 4:

Knockdown of DSCAM rescues the neurogenesis defects in organoids derived from DS cells. Neurons in the upper cortical layer express SATB2 (red). Hoechst dye stains all cells (blue). Adapted from Tang et al. [99] with permission from the publisher.

Possible roles of DSCAM in neurogenesis

Postmortem DS patient tissues exhibit reduced neuronal densities and abnormal neuronal distribution, especially in cortical layers II and IV [9596]. Additionally, there seems to be a substantial increase in glial cells [97]. Induced pluripotent stem cell (iPSC) lines from DS patients have opened new avenues for understanding the mechanisms underlying DS pathogenesis [98]. Cerebral organoids derived from DS iPSCs provide a more complex and three-dimensional model to study the effects of extra HSA21 genes on brain development. The DS organoids showed decreased proliferation of neural stem cells. The growth of the DS cerebral organoids was delayed from the beginning of the culture and exhibited dramatically decreased expansion rates. Knockdown of DSCAM and its down-stream molecule PAK in the DS organoids rescued the proliferation defects [99], suggesting that DSCAM overexpression causes the defective neurogenesis in DS brains (Figure 5).

Figure 5: 
Co-overexpression of DSCAM and COL6A2 caused cardiac defects. Overexpression of DSCAM or COL6A2 individually does not cause severe heart diseases, but overexpressing both genes leads to increased cell adhesion and severe cardiac defects. Whether the increased cell adhesion is responsible for the congenital heart disease remains to be determined.
Figure 5:

Co-overexpression of DSCAM and COL6A2 caused cardiac defects. Overexpression of DSCAM or COL6A2 individually does not cause severe heart diseases, but overexpressing both genes leads to increased cell adhesion and severe cardiac defects. Whether the increased cell adhesion is responsible for the congenital heart disease remains to be determined.

Overexpression of DSCAM and COL6A2 cooperatively causes congenital heart defects

DS is the most common cause of congenital heart diseases [100], which are the leading causes of death in the DS population. About 50 % of DS patients suffer from congenital heart diseases, many of which require surgical corrections [100], [101], [102].

With molecular mapping of DS patients with truncated or translocated trisomy 21, in which only a portion of chromosome 21 is triplicated, a particular region on the distal end (in 22.3) of HSA21 is associated with the occurrence of congenital heart diseases [23]. DSCAM is located in this region and highly expressed in the developing heart, raising the possibility of a potential link between DSCAM and the congenital heart diseases in DS. Congenital heart defects in DS are characterized by increased intercellular adhesiveness of cardiac fibroblasts [103], which could be caused by elevated DSCAM expression that has been shown to mediate cell adhesion [63].

Based on the findings of Barlow et al.[23], Grossman et al. tested the effects of overexpression of either a single or a pair of candidate genes on the heart of Drosophila [27]. Cardiac functions were assessed by measuring three parameters, which included the basal heartbeat rate, the response to stress-induced heart failure, and the recovery of heart function after heart failure. Whereas several genes, including DSCAM, COL6A1, COL6A2, COL18A1, and SH3BGR, led to an increase in stress-induced cardiac dysfunction in one or two parameters measured, with none of them increasing all three physiological parameters. This raised the question whether these genes worked cooperatively to cause severe heart diseases. To understand potential interactions between these genes, different combinations of gene pairs were co-expressed in the fly hearts. Gene pairs DSCAM/COL6A2 and DSCAM/SH3BGR were particularly significant, causing a substantial increase in heart failure rates across all three assessed parameters in over 60 % of the flies [27].

The effects of the DSCAM/COL6A2 gene pairs were further tested in mice with one mouse line for DSCAM overexpression and another for COL6A2 overexpression [27]. The mouse line with DSCAM or COL6A2 overexpression did not affect the viability or cause defective cardiac physiology and morphology. However, co-overexpression of DSCAM/COL6A2 caused lethality in over 50 % of mice and severe cardiac morphological and physiological defects in the surviving population. DSCAM and COL6A2 co-overexpression dramatically increased cell adhesion, while DSCAM or COL6A2 individual overexpression did not. Interestingly, a high-resolution genomic mapping suggested that COL6A2 and several other genes are not the primary genes that cause DS-CHD [22], due to a few individuals with DS-CHD not having an extra copy of these genes. However, this logic is based on the assumption that DS-CHD is caused by a single gene. It is possible that interactions between different HSA21 genes cause DS-CHD, as Grossman et al. found [27].

It is unclear how the change in cell adhesion affects the heart structures. Nevertheless, these findings show that overexpression of both DSCAM and COL6A2 amplifies their individual effects and causes congenital heart diseases. They also highlight the importance of studying the cooperative effects of HSA21 genes in causing DS-related diseases. Furthermore, the successful discovery of the DSCAM/COL6A2 gene pair in congenital heart diseases exemplifies the power of combining different model systems in parsing out the mechanisms that underlie DS.

Possible involvement of DSCAM in Hirschsprung’s disease

Hirschsprung’s disease is an enteric nervous system disorder that decreases colon mobility and is a leading cause of intestinal obstruction [104105]. Hirschsprung’s disease is characterized by a decreased number of enteric ganglia in the myenteric and submucosal plexus along the hindgut, which is due to a failure of neural crest cells to migrate fully during embryonic development [106107]. DS is the most frequent chromosome abnormality associated with Hirschsprung’s disease [106], contributing to more than 90 % of Hirschsprung’s disease cases – which affect approximately 2 % of the DS population [108], [109], [110]. Gene mapping of DS phenotypes based on partial trisomy identified a Hirschsprung-associated region spanning 33.50–46.25 Mb on HSA21, which includes DSCAM [22]. Further dose-dependent associations of HSA21 genes in DS patients with Hirschsprung’s disease identified two single-nucleotide polymorphisms (SNPs) associated with this disease in DS [64]. Both polymorphisms are located in the intron 3 of DSCAM and are consistent with DSCAM expression during the development of the enteric nervous system. Additionally, one of these polymorphisms was shown to be associated to Hirschsprung’s disease independent of DS in the Chinese population [111], supporting the involvement of DSCAM in Hirschsprung’s disease.

Although these studies associate DSCAM with Hirschsprung’s disease, it is unclear whether the extra copy of DSCAM gene causes the disease in DS. Two mouse models of DS, Ts65Dn and Tcl, have less neurons in the submucosal plexus of the enteric nervous system, but deletion of the extra copy of DSCAM does not rescue this defect [112]. Nevertheless, DSCAM cannot be ruled out as a contributing factor to Hirschsprung’s disease by cooperating with other risk genes, such as the HSA21 gene Bace2. In a zebrafish model, morpholino-mediated knockdowns of DSCAM homologs (dscama and dscamb) and bace2 decreased the number of enteric neurons [65], indicating a role for these genes in the development of the enteric nervous system.

Summary and future directions

There remain much to be done to elucidate DSCAM’s contribution to DS-associated diseases. In the nervous system, while we know that DSCAM triplication leads to morphological and synaptic changes in inhibitory synapses in the neocortex, we do not know if this leads to cognitive deficits. Neither do we know if the changes in ocular segregation in the LGN are indeed contributed by DSCAM triplication, and if so, what other genes cooperate with DSCAM in this process. Moreover, additional evidence in animal models is needed to corroborate the possible roles of DSCAM in neurogenesis and to demonstrate the consequences on nervous system functions. Furthermore, we do not know whether DSCAM is involved in changes to other parts of the nervous system, such as the hippocampus, glial cells, and other systems.

The cooperative effects between DSCAM and other genes have just begun to be discovered. In this regard, efficient experimental systems such as Drosophila and cultured neurons, especially the stem-cell-derived neurons from DS patients, will be very useful, as they can be efficiently applied to test the cooperative functions of multiple genes. The interactions between DSCAM and other genes might also be relevant to the question of whether DSCAM’s contribution to DS-associated disorders varies in different human populations, as DSCAM’s roles might change in different genetic backgrounds.

The studies of DSCAM signaling have led to ideas about targeting these signaling mechanisms to treat diseases in DS. In addition to Abl [84], DSCAM has been shown to bind to Dock in Drosophila [33], and FAK, Fyn kinase, as well as PAK1 in mammals [113]. Targeting these signaling pathways downstream of DSCAM could block the overexpression effects caused by DSCAM triplication in DS. Whether the signaling molecules downstream of DSCAM can be used as therapeutic targets for DS needs to be tested in the future. For diseases in which the affected tissues/organs are amenable to therapeutic viral infections, gene therapies might be developed by reducing the expression levels of DSCAM or its downstream effector genes.

The understanding of the molecular mechanisms that underlie DS impacts not only the DS population, but also many other developmental and degenerative disorders. For example, DSCAM variants have been found to be strongly associated with intellectual disabilities and autism spectrum disorder [54114]. The knowledge about DSCAM functions in the brain, its interacting genes, and its downstream signaling pathways in DS brains will provide insights into the understanding of other human conditions and the development of therapeutic approaches.


Corresponding author: Bing Ye, Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan, 210 Washtenaw Avenue, Room 5403, Ann Arbor, MI, 48109, USA, E-mail:
Ty Hergenreder and Tao Yang contributed equally to this work.

Funding source: Down syndrome research in the Ye lab was supported by funding from National Institutes of Health

Award Identifier / Grant number: (R21NS094091)

Funding source: Brain Research Foundation, and the Protein Folding Disease Initiative of the University of Michigan

Acknowledgments

We thank Gabriella Sterne for making the image in Figure 2.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: TH, TY, and BY conceptualized and wrote the paper. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: Authors state no conflict of interest.

  5. Research funding: Down syndrome research in the Ye lab was supported by funding from National Institutes of Health (R21NS094091), the Brain Research Foundation, and the Protein Folding Disease Initiative of the University of Michigan.

  6. Data availability: Not applicable.

References

1. Lejeune, J, Turpin, R. Somatic chromosomes in mongolism. Res Publ Assoc Res Nerv Ment Dis 1962;39:67–77.Search in Google Scholar

2. Jacobs, PA, Baikie, AG, Court Brown, WM, Strong, JA. The somatic chromosomes in mongolism. Lancet 1959;1:710. https://doi.org/10.1016/s0140-6736(59)91892-6.Search in Google Scholar PubMed

3. Bittles, AH, Bower, C, Hussain, R, Glasson, EJ. The four ages of Down syndrome. Eur J Publ Health 2006;17:221–5. https://doi.org/10.1093/eurpub/ckl103.Search in Google Scholar PubMed

4. Yoon, PW, Freeman, SB, Sherman, SL, Taft, LF, Gu, Y, Pettay, D, et al.. Advanced maternal age and the risk of Down syndrome characterized by the meiotic stage of chromosomal error: a population-based study. Am J Hum Genet 1996;58:628–33.Search in Google Scholar

5. Allen, EG, Freeman, SB, Druschel, C, Hobbs, CA, O’Leary, LA, Romitti, PA, et al.. Maternal age and risk for trisomy 21 assessed by the origin of chromosome nondisjunction: a report from the Atlanta and National Down Syndrome Projects. Hum Genet 2009;125:41–52. https://doi.org/10.1007/s00439-008-0603-8.Search in Google Scholar PubMed PubMed Central

6. Bull, MJ. Down syndrome. N Engl J Med 2020;382:2344–52. https://doi.org/10.1056/nejmra1706537.Search in Google Scholar

7. Ferencz, C, Neill, CA, Boughman, JA, Rubin, JD, Brenner, JI, Perry, LW. Congenital cardiovascular malformations associated with chromosome abnormalities: an epidemiologic study. J Pediatr 1989;114:79–86. https://doi.org/10.1016/s0022-3476(89)80605-5.Search in Google Scholar PubMed

8. Tracy, J. Australians with Down syndrome: health matters. Aust Fam Physician 2011;40:202–8.Search in Google Scholar

9. Yam, WK, Tse, PW, Yu, CM, Chow, CB, But, WM, Li, KY, et al.. Medical issues among children and teenagers with Down syndrome in Hong Kong. Downs Syndr Res Pract 2008;12:138–40. https://doi.org/10.3104/reports.2005.Search in Google Scholar PubMed

10. Black, CT, Sherman, JO. The association of low imperforate anus and Down’s syndrome. J Pediatr Surg 1989;24:92–4. https://doi.org/10.1016/s0022-3468(89)80309-4.Search in Google Scholar PubMed

11. Krinsky-McHale, SJ, Silverman, W, Gordon, J, Devenny, DA, Oley, N, Abramov, I. Vision deficits in adults with Down syndrome. J Appl Res Intellect Disabil 2014;27:247–63. https://doi.org/10.1111/jar.12062.Search in Google Scholar PubMed PubMed Central

12. Kreicher, KL, Weir, FW, Nguyen, SA, Meyer, TA. Characteristics and progression of hearing loss in children with down syndrome. J Pediatr 2018;193:27–33 e2. https://doi.org/10.1016/j.jpeds.2017.09.053.Search in Google Scholar PubMed

13. Haargaard, B, Fledelius, HC. Down’s syndrome and early cataract. Br J Ophthalmol 2006;90:1024–7. https://doi.org/10.1136/bjo.2006.090639.Search in Google Scholar PubMed PubMed Central

14. Simpson, R, Oyekan, AA, Ehsan, Z, Ingram, DG. Obstructive sleep apnea in patients with Down syndrome: current perspectives. Nat Sci Sleep 2018;10:287–93. https://doi.org/10.2147/nss.s154723.Search in Google Scholar

15. Roizen, NJ, Patterson, D. Down’s syndrome. Lancet 2003;361:1281–9. https://doi.org/10.1016/s0140-6736(03)12987-x.Search in Google Scholar PubMed

16. Antonarakis, SE, Skotko, BG, Rafii, MS, Strydom, A, Pape, SE, Bianchi, DW, et al.. Down syndrome. Nat Rev Dis Primers 2020;6:9. https://doi.org/10.1038/s41572-019-0143-7.Search in Google Scholar PubMed PubMed Central

17. Sherman, SL, Allen, EG, Bean, LH, Freeman, SB. Epidemiology of down syndrome. Ment Retard Dev Disabil Res Rev 2007;13:221–7. https://doi.org/10.1002/mrdd.20157.Search in Google Scholar PubMed

18. Raz, N, Torres, IJ, Briggs, SD, Spencer, WD, Thornton, AE, Loken, WJ, et al.. Selective neuroanatomic abnormalities in Down’s syndrome and their cognitive correlates: evidence from MRI morphometry. Neurology 1995;45:356–66. https://doi.org/10.1212/wnl.45.2.356.Search in Google Scholar PubMed

19. Iyer, AM, van Scheppingen, J, Milenkovic, I, Anink, JJ, Adle-Biassette, H, Kovacs, GG, et al.. mTOR Hyperactivation in down syndrome hippocampus appears early during development. J Neuropathol Exp Neurol 2014;73:671–83. https://doi.org/10.1097/nen.0000000000000083.Search in Google Scholar

20. Bruni, M, Cameron, D, Dua, S, Noy, S. Reported sensory processing of children with Down syndrome. Phys Occup Ther Pediatr 2010;30:280–93. https://doi.org/10.3109/01942638.2010.486962.Search in Google Scholar PubMed

21. O’Leary, L, Hughes-McCormack, L, Dunn, K, Cooper, SA. Early death and causes of death of people with Down syndrome: a systematic review. J Appl Res Intellect Disabil 2018;31:687–708. https://doi.org/10.1111/jar.12446.Search in Google Scholar PubMed

22. Korbel, JO, Tirosh-Wagner, T, Urban, AE, Chen, XN, Kasowski, M, Dai, L, et al.. The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies. Proc Natl Acad Sci USA 2009;106:12031–6. https://doi.org/10.1073/pnas.0813248106.Search in Google Scholar PubMed PubMed Central

23. Barlow, GM, Chen, XN, Shi, ZY, Lyons, GE, Kurnit, DM, Celle, L, et al.. Down syndrome congenital heart disease: a narrowed region and a candidate gene. Genet Med 2001;3:91–101. https://doi.org/10.1097/00125817-200103000-00002.Search in Google Scholar PubMed

24. Hattori, M, Fujiyama, A, Taylor, TD, Watanabe, H, Yada, T, Park, HS, et al.. The DNA sequence of human chromosome 21. Nature 2000;405:311–9. https://doi.org/10.1038/35012518.Search in Google Scholar PubMed

25. Antonarakis, SE. Down syndrome and the complexity of genome dosage imbalance. Nat Rev Genet 2017;18:147–63. https://doi.org/10.1038/nrg.2016.154.Search in Google Scholar PubMed

26. Pelleri, MC, Cattani, C, Vitale, L, Antonaros, F, Strippoli, P, Locatelli, C, et al.. Integrated quantitative transcriptome maps of human trisomy 21 tissues and cells. Front Genet 2018;9:125. https://doi.org/10.3389/fgene.2018.00125.Search in Google Scholar PubMed PubMed Central

27. Grossman, TR, Gamliel, A, Wessells, RJ, Taghli-Lamallem, O, Jepsen, K, Ocorr, K, et al.. Over-expression of DSCAM and COL6A2 cooperatively generates congenital heart defects. PLoS Genet 2011;7. https://doi.org/10.1371/journal.pgen.1002344.Search in Google Scholar PubMed PubMed Central

28. Shapiro, BL. The Down syndrome critical region. Vienna: Springer; 1999:41–60 pp.10.1007/978-3-7091-6380-1_3Search in Google Scholar PubMed

29. Prasher, VP, Farrer, MJ, Kessling, AM, Fisher, EM, West, RJ, Barber, PC, et al.. Molecular mapping of Alzheimer-type dementia in Down’s syndrome. Ann Neurol 1998;43:380–3. https://doi.org/10.1002/ana.410430316.Search in Google Scholar PubMed

30. Kim, JH, Wang, X, Coolon, R, Ye, B. Dscam expression levels determine presynaptic arbor sizes in Drosophila sensory neurons. Neuron 2013;78:827–38. https://doi.org/10.1016/j.neuron.2013.05.020.Search in Google Scholar PubMed PubMed Central

31. Liu, H, Caballero-Floran, RN, Hergenreder, T, Yang, T, Hull, JM, Pan, G, et al.. DSCAM gene triplication causes excessive GABAergic synapses in the neocortex in Down syndrome mouse models. PLoS Biol 2023;21:e3002078. https://doi.org/10.1371/journal.pbio.3002078.Search in Google Scholar PubMed PubMed Central

32. Yamakawa, K, Huo, YK, Haendel, MA, Hubert, R, Chen, XN, Lyons, GE, et al.. DSCAM: a novel member of the immunoglobulin superfamily maps in a Down syndrome region and is involved in the development of the nervous system. Hum Mol Genet 1998;7:227–37. https://doi.org/10.1093/hmg/7.2.227.Search in Google Scholar PubMed

33. Schmucker, D, Clemens, JC, Shu, H, Worby, CA, Xiao, J, Muda, M, et al.. Drosophila Dscam is an axon guidance receptor exhibiting extraordinary molecular diversity. Cell 2000;101:671–84. https://doi.org/10.1016/s0092-8674(00)80878-8.Search in Google Scholar PubMed

34. Hattori, D, Millard, SS, Wojtowicz, WM, Zipursky, SL. Dscam-mediated cell recognition regulates neural circuit formation. Annu Rev Cell Dev Biol 2008;24:597–620. https://doi.org/10.1146/annurev.cellbio.24.110707.175250.Search in Google Scholar PubMed PubMed Central

35. Matthews, BJ, Kim, ME, Flanagan, JJ, Hattori, D, Clemens, JC, Zipursky, SL, et al.. Dendrite self-avoidance is controlled by dscam. Cell 2007;129:593–604. https://doi.org/10.1016/j.cell.2007.04.013.Search in Google Scholar PubMed

36. Zipursky, SL, Sanes, JR. Chemoaffinity revisited: dscams, protocadherins, and neural circuit assembly. Cell 2010;143:343–53. https://doi.org/10.1016/j.cell.2010.10.009.Search in Google Scholar PubMed

37. Zhu, K, Xu, Y, Liu, J, Xu, Q, Ye, H. Down syndrome cell adhesion molecule and its functions in neural development. Neurosci Bull 2011;27:45–52. https://doi.org/10.1007/s12264-011-1045-1.Search in Google Scholar PubMed PubMed Central

38. Hughes, ME, Bortnick, R, Tsubouchi, A, Baumer, P, Kondo, M, Uemura, T, et al.. Homophilic Dscam interactions control complex dendrite morphogenesis. Neuron 2007;54:417–27. https://doi.org/10.1016/j.neuron.2007.04.013.Search in Google Scholar PubMed PubMed Central

39. Soba, P, Zhu, S, Emoto, K, Younger, S, Yang, SJ, Yu, HH, et al.. Drosophila sensory neurons require Dscam for dendritic self-avoidance and proper dendritic field organization. Neuron 2007;54:403–16. https://doi.org/10.1016/j.neuron.2007.03.029.Search in Google Scholar PubMed PubMed Central

40. Hummel, T, Vasconcelos, ML, Clemens, JC, Fishilevich, Y, Vosshall, LB, Zipursky, SL. Axonal targeting of olfactory receptor neurons in Drosophila is controlled by Dscam. Neuron 2003;37:221–31. https://doi.org/10.1016/s0896-6273(02)01183-2.Search in Google Scholar PubMed

41. Chen, BE, Kondo, M, Garnier, A, Watson, FL, Puettmann-Holgado, R, Lamar, DR, et al.. The molecular diversity of Dscam is functionally required for neuronal wiring specificity in Drosophila. Cell 2006;125:607–20. https://doi.org/10.1016/j.cell.2006.03.034.Search in Google Scholar PubMed

42. Millard, SS, Lu, Z, Zipursky, SL, Meinertzhagen, IA. Drosophila dscam proteins regulate postsynaptic specificity at multiple-contact synapses. Neuron 2010;67:761–8. https://doi.org/10.1016/j.neuron.2010.08.030.Search in Google Scholar PubMed PubMed Central

43. Wang, J, Zugates, CT, Liang, IH, Lee, CH, Lee, T. Drosophila Dscam is required for divergent segregation of sister branches and suppresses ectopic bifurcation of axons. Neuron 2002;33:559–71. https://doi.org/10.1016/s0896-6273(02)00570-6.Search in Google Scholar PubMed

44. Zhu, H, Hummel, T, Clemens, JC, Berdnik, D, Zipursky, SL, Luo, L. Dendritic patterning by Dscam and synaptic partner matching in the Drosophila antennal lobe. Nat Neurosci 2006;9:349–55. https://doi.org/10.1038/nn1652.Search in Google Scholar PubMed

45. Cook, JE, Chalupa, LM. Retinal mosaics: new insights into an old concept. Trends Neurosci 2000;23:26–34. https://doi.org/10.1016/s0166-2236(99)01487-3.Search in Google Scholar PubMed

46. Fuerst, PG, Bruce, F, Tian, M, Wei, W, Elstrott, J, Feller, MB, et al.. DSCAM and DSCAML1 function in self-avoidance in multiple cell types in the developing mouse retina. Neuron 2009;64:484–97. https://doi.org/10.1016/j.neuron.2009.09.027.Search in Google Scholar PubMed PubMed Central

47. Garrett, AM, Burgess, RW. Candidate molecular mechanisms for establishing cell identity in the developing retina. Dev Neurobiol 2011;71:1258–72. https://doi.org/10.1002/dneu.20926.Search in Google Scholar PubMed PubMed Central

48. Fuerst, PG, Koizumi, A, Masland, RH, Burgess, RW. Neurite arborization and mosaic spacing in the mouse retina require DSCAM. Nature 2008;451:470–U8. https://doi.org/10.1038/nature06514.Search in Google Scholar PubMed PubMed Central

49. Garrett, AM, Khalil, A, Walton, DO, Burgess, RW. DSCAM promotes self-avoidance in the developing mouse retina by masking the functions of cadherin superfamily members. Proc Natl Acad Sci USA 2018;115:E10216–E24. https://doi.org/10.1073/pnas.1809430115.Search in Google Scholar PubMed PubMed Central

50. Arimura, N, Okada, M, Taya, S, Dewa, KI, Tsuzuki, A, Uetake, H, et al.. DSCAM regulates delamination of neurons in the developing midbrain. Sci Adv 2020;6. https://doi.org/10.1126/sciadv.aba1693.Search in Google Scholar PubMed PubMed Central

51. Yang, T, Veling, MW, Zhao, XF, Prin, NP, Zhu, L, Hergenreder, T, et al.. Migrating pyramidal neurons require DSCAM to bypass the border of the developing cortical plate. J Neurosci 2022;42:5510–21. https://doi.org/10.1523/jneurosci.0997-21.2022.Search in Google Scholar PubMed PubMed Central

52. Maynard, KR, Stein, E. DSCAM contributes to dendrite arborization and spine formation in the developing cerebral cortex. J Neurosci 2012;32:16637–50. https://doi.org/10.1523/jneurosci.2811-12.2012.Search in Google Scholar

53. Bruce, FM, Brown, S, Smith, JN, Fuerst, PG, Erskine, L. DSCAM promotes axon fasciculation and growth in the developing optic pathway. Proc Natl Acad Sci U S A 2017;114:1702–7. https://doi.org/10.1073/pnas.1618606114.Search in Google Scholar PubMed PubMed Central

54. Chen, P, Liu, Z, Zhang, Q, Lin, D, Song, L, Liu, J, et al.. DSCAM deficiency leads to premature spine maturation and autism-like behaviors. J Neurosci 2022;42:532–51. https://doi.org/10.1523/jneurosci.1003-21.2021.Search in Google Scholar PubMed PubMed Central

55. Saito, Y, Oka, A, Mizuguchi, M, Motonaga, K, Mori, Y, Becker, LE, et al.. The developmental and aging changes of Down’s syndrome cell adhesion molecule expression in normal and Down’s syndrome brains. Acta Neuropathol 2000;100:654–64. https://doi.org/10.1007/s004010000230.Search in Google Scholar PubMed

56. Shen, L, Xiao, Z, Pan, Y, Fang, M, Li, C, Chen, D, et al.. Altered expression of Dscam in temporal lobe tissue from human and experimental animals. Synapse 2011;65:975–82. https://doi.org/10.1002/syn.20924.Search in Google Scholar PubMed

57. Amano, K, Yamada, K, Iwayama, Y, Detera-Wadleigh, SD, Hattori, E, Toyota, T, et al.. Association study between the Down syndrome cell adhesion molecule (DSCAM) gene and bipolar disorder. Psychiatr Genet 2008;18:1–10. https://doi.org/10.1097/ypg.0b013e3281ac238e.Search in Google Scholar PubMed

58. Kleschevnikov, AM, Belichenko, PV, Faizi, M, Jacobs, LF, Htun, K, Shamloo, M, et al.. Deficits in cognition and synaptic plasticity in a mouse model of Down syndrome ameliorated by GABAB receptor antagonists. J Neurosci 2012;32:9217–27. https://doi.org/10.1523/jneurosci.1673-12.2012.Search in Google Scholar

59. Kleschevnikov, AM, Belichenko, PV, Gall, J, George, L, Nosheny, R, Maloney, MT, et al.. Increased efficiency of the GABAA and GABAB receptor-mediated neurotransmission in the Ts65Dn mouse model of Down syndrome. Neurobiol Dis 2012;45:683–91. https://doi.org/10.1016/j.nbd.2011.10.009.Search in Google Scholar PubMed PubMed Central

60. Fernandez, F, Morishita, W, Zuniga, E, Nguyen, J, Blank, M, Malenka, RC, et al.. Pharmacotherapy for cognitive impairment in a mouse model of Down syndrome. Nat Neurosci 2007;10:411–3. https://doi.org/10.1038/nn1860.Search in Google Scholar PubMed

61. Costa, AC, Grybko, MJ. Deficits in hippocampal CA1 LTP induced by TBS but not HFS in the Ts65Dn mouse: a model of Down syndrome. Neurosci Lett 2005;382:317–22. https://doi.org/10.1016/j.neulet.2005.03.031.Search in Google Scholar PubMed

62. Deidda, G, Bozarth, IF, Cancedda, L. Modulation of GABAergic transmission in development and neurodevelopmental disorders: investigating physiology and pathology to gain therapeutic perspectives. Front Cell Neurosci 2014;8:119. https://doi.org/10.3389/fncel.2014.00119.Search in Google Scholar PubMed PubMed Central

63. Agarwala, KL, Nakamura, S, Tsutsumi, Y, Yamakawa, K. Down syndrome cell adhesion molecule DSCAM mediates homophilic intercellular adhesion. Brain Res Mol Brain Res 2000;79:118–26. https://doi.org/10.1016/s0169-328x(00)00108-x.Search in Google Scholar PubMed

64. Jannot, AS, Pelet, A, Henrion-Caude, A, Chaoui, A, Masse-Morel, M, Arnold, S, et al.. Chromosome 21 scan in Down syndrome reveals DSCAM as a predisposing locus in Hirschsprung disease. PLoS One 2013;8:e62519. https://doi.org/10.1371/journal.pone.0062519.Search in Google Scholar PubMed PubMed Central

65. Lu, YJ, Yu, WW, Cui, MM, Yu, XX, Song, HL, Bai, MR, et al.. Association analysis of variants of DSCAM and BACE2 with Hirschsprung disease susceptibility in Han Chinese and functional evaluation in zebrafish. Front Cell Dev Biol 2021;9:641152. https://doi.org/10.3389/fcell.2021.641152.Search in Google Scholar PubMed PubMed Central

66. Grueber, WB, Jan, LY, Jan, YN. Tiling of the Drosophila epidermis by multidendritic sensory neurons. Development 2002;129:2867–78. https://doi.org/10.1242/dev.129.12.2867.Search in Google Scholar PubMed

67. Cvetkovska, V, Hibbert, AD, Emran, F, Chen, BE. Overexpression of Down syndrome cell adhesion molecule impairs precise synaptic targeting. Nat Neurosci 2013;16:677–82. https://doi.org/10.1038/nn.3396.Search in Google Scholar PubMed PubMed Central

68. Lowe, SA, Hodge, JJL, Usowicz, MM. A third copy of the Down syndrome cell adhesion molecule (Dscam) causes synaptic and locomotor dysfunction in Drosophila. Neurobiol Dis 2018;110:93–101. https://doi.org/10.1016/j.nbd.2017.11.013.Search in Google Scholar PubMed PubMed Central

69. Reeves, RH, Irving, NG, Moran, TH, Wohn, A, Kitt, C, Sisodia, SS, et al.. A mouse model for Down syndrome exhibits learning and behaviour deficits. Nat Genet 1995;11:177–84. https://doi.org/10.1038/ng1095-177.Search in Google Scholar PubMed

70. Colas, D, Chuluun, B, Warrier, D, Blank, M, Wetmore, DZ, Buckmaster, P, et al.. Short-term treatment with the GABAA receptor antagonist pentylenetetrazole produces a sustained pro-cognitive benefit in a mouse model of Down’s syndrome. Brit J Pharmacol 2013;169:963–73. https://doi.org/10.1111/bph.12169.Search in Google Scholar PubMed PubMed Central

71. Martinez-Cue, C, Martinez, P, Rueda, N, Vidal, R, Garcia, S, Vidal, V, et al.. Reducing GABAA alpha5 receptor-mediated inhibition rescues functional and neuromorphological deficits in a mouse model of down syndrome. J Neurosci 2013;33:3953–66. https://doi.org/10.1523/jneurosci.1203-12.2013.Search in Google Scholar PubMed PubMed Central

72. Braudeau, J, Dauphinot, L, Duchon, A, Loistron, A, Dodd, RH, Herault, Y, et al.. Chronic treatment with a promnesiant GABA-A a5-selective inverse agonist increases immediate early genes expression during memory processing inMice and rectifies their expression levels in a down syndrome mouse model. Adv Pharmacol Sci 2011;2011. https://doi.org/10.1155/2011/153218.Search in Google Scholar PubMed PubMed Central

73. Braudeau, J, Delatour, B, Duchon, A, Pereira, PL, Dauphinot, L, de Chaumont, F, et al.. Specific targeting of the GABA-A receptor alpha 5 subtype by a selective inverse agonist restores cognitive deficits in Down syndrome mice. J Psychopharmacol 2011;25:1030–42. https://doi.org/10.1177/0269881111405366.Search in Google Scholar PubMed PubMed Central

74. Belichenko, PV, Kleschevnikov, AM, Masliah, E, Wu, C, Takimoto-Kimura, R, Salehi, A, et al.. Excitatory-inhibitory relationship in the fascia dentata in the Ts65Dn mouse model of Down syndrome. J Comp Neurol 2009;512:453–66. https://doi.org/10.1002/cne.21895.Search in Google Scholar PubMed PubMed Central

75. Kurt, MA, Davies, DC, Kidd, M, Dierssen, M, Florez, J. Synaptic deficit in the temporal cortex of partial trisomy 16 (Ts65Dn) mice. Brain Res 2000;858:191–7. https://doi.org/10.1016/s0006-8993(00)01984-3.Search in Google Scholar PubMed

76. Nosheny, RL, Belichenko, PV, Busse, BL, Weissmiller, AM, Dang, V, Das, D, et al.. Increased cortical synaptic activation of TrkB and downstream signaling markers in a mouse model of Down syndrome. Neurobiol Dis 2015;77:173–90. https://doi.org/10.1016/j.nbd.2015.02.022.Search in Google Scholar PubMed PubMed Central

77. Fuerst, PG, Harris, BS, Johnson, KR, Burgess, RW. A novel null allele of mouse DSCAM survives to adulthood on an inbred C3H background with reduced phenotypic variability. Genesis 2010;48:578–84. https://doi.org/10.1002/dvg.20681.Search in Google Scholar

78. Schramm, RD, Li, S, Harris, BS, Rounds, RP, Burgess, RW, Ytreberg, FM, et al.. A novel mouse Dscam mutation inhibits localization and shedding of DSCAM. PLoS One 2012;7:e52652. https://doi.org/10.1371/journal.pone.0052652.Search in Google Scholar PubMed PubMed Central

79. de Andrade, GB, Kunzelman, L, Merrill, MM, Fuerst, PG. Developmentally dynamic colocalization patterns of DSCAM with adhesion and synaptic proteins in the mouse retina. Mol Vis 2014;20:1422–33.Search in Google Scholar

80. Blazquez-Llorca, L, Woodruff, A, Inan, M, Anderson, SA, Yuste, R, DeFelipe, J, et al.. Spatial distribution of neurons innervated by chandelier cells. Brain Struct Funct 2015;220:2817–34. https://doi.org/10.1007/s00429-014-0828-3.Search in Google Scholar PubMed PubMed Central

81. Szentágothai, J. The ‘module-concept’ in cerebral cortex architecture. Brain Res 1975;95:475–96. https://doi.org/10.1016/0006-8993(75)90122-5.Search in Google Scholar PubMed

82. Jones, EG. Varieties and distribution of non-pyramidal cells in the somatic sensory cortex of the squirrel monkey. J Comp Neurol 1975;160:205–67. https://doi.org/10.1002/cne.901600204.Search in Google Scholar PubMed

83. Leyssen, M, Ayaz, D, Hebert, SS, Reeve, S, De Strooper, B, Hassan, BA. Amyloid precursor protein promotes post-developmental neurite arborization in the Drosophila brain. EMBO J 2005;24:2944–55. https://doi.org/10.1038/sj.emboj.7600757.Search in Google Scholar PubMed PubMed Central

84. Sterne, GR, Kim, JH, Ye, B. Dysregulated Dscam levels act through Abelson tyrosine kinase to enlarge presynaptic arbors. Elife 2015;4:e05196. https://doi.org/10.7554/elife.05196.Search in Google Scholar PubMed PubMed Central

85. Weisberg, E, Manley, PW, Breitenstein, W, Brüggen, J, Cowan-Jacob, SW, Ray, A, et al.. Characterization of AMN107, a selective inhibitor of native and mutant Bcr-Abl. Cancer Cell 2005;7:129–41. https://doi.org/10.1016/j.ccr.2005.03.026.Search in Google Scholar

86. Hebron, ML, Lonskaya, I, Moussa, CE. Nilotinib reverses loss of dopamine neurons and improves motor behavior via autophagic degradation of alpha-synuclein in Parkinson’s disease models. Hum Mol Genet 2013;22:3315–28. https://doi.org/10.1093/hmg/ddt192.Search in Google Scholar PubMed PubMed Central

87. Buchdunger, E, Matter, A, Druker, BJ. Bcr-Abl inhibition as a modality of CML therapeutics. Biochim Biophys Acta 2001;1551:M11–8. https://doi.org/10.1016/s0304-419x(01)00022-1.Search in Google Scholar PubMed

88. Blank, M, Fuerst, PG, Stevens, B, Nouri, N, Kirkby, L, Warrier, D, et al.. The Down syndrome critical region regulates retinogeniculate refinement. J Neurosci 2011;31:5764–76. https://doi.org/10.1523/jneurosci.6015-10.2011.Search in Google Scholar

89. Verkerk, AJ, Pieretti, M, Sutcliffe, JS, Fu, YH, Kuhl, DP, Pizzuti, A, et al.. Identification of a gene (FMR-1) containing a CGG repeat coincident with a breakpoint cluster region exhibiting length variation in fragile X syndrome. Cell 1991;65:905–14. https://doi.org/10.1016/0092-8674(91)90397-h.Search in Google Scholar PubMed

90. Gibson, TJ, Rice, PM, Thompson, JD, Heringa, J. KH domains within the FMR1 sequence suggest that fragile X syndrome stems from a defect in RNA metabolism. Trends Biochem Sci 1993;18:331–3. https://doi.org/10.1016/0968-0004(93)90068-x.Search in Google Scholar PubMed

91. Jin, P, Warren, ST. Understanding the molecular basis of fragile X syndrome. Hum Mol Genet 2000;9:901–8. https://doi.org/10.1093/hmg/9.6.901.Search in Google Scholar PubMed

92. Susco, SG, Ghosh, S, Mazzucato, P, Angelini, G, Beccard, A, Barrera, V, et al.. Molecular convergence between Down syndrome and fragile X syndrome identified using human pluripotent stem cell models. Cell Rep 2022;40:111312. https://doi.org/10.1016/j.celrep.2022.111312.Search in Google Scholar PubMed PubMed Central

93. Brown, V, Jin, P, Ceman, S, Darnell, JC, O’Donnell, WT, Tenenbaum, SA, et al.. Microarray identification of FMRP-associated brain mRNAs and altered mRNA translational profiles in fragile X syndrome. Cell 2001;107:477–87. https://doi.org/10.1016/s0092-8674(01)00568-2.Search in Google Scholar PubMed

94. Darnell, JC, Van Driesche, SJ, Zhang, C, Hung, KY, Mele, A, Fraser, CE, et al.. FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism. Cell 2011;146:247–61. https://doi.org/10.1016/j.cell.2011.06.013.Search in Google Scholar PubMed PubMed Central

95. Wisniewski, KE, Laure-Kamionowska, M, Wisniewski, HM. Evidence of arrest of neurogenesis and synaptogenesis in brains of patients with Down’s syndrome. N Engl J Med 1984;311:1187–8. https://doi.org/10.1056/NEJM198411013111818.Search in Google Scholar

96. Wisniewski, KE. Down syndrome children often have brain with maturation delay, retardation of growth, and cortical dysgenesis. Am J Med Genet 1990;37:274–81. https://doi.org/10.1002/ajmg.1320370755.Search in Google Scholar

97. Kanaumi, T, Milenkovic, I, Adle-Biassette, H, Aronica, E, Kovacs, GG. Non-neuronal cell responses differ between normal and Down syndrome developing brains. Int J Dev Neurosci 2013;31:796–803. https://doi.org/10.1016/j.ijdevneu.2013.09.011.Search in Google Scholar

98. Weick, JP, Held, DL, Bonadurer, GF3rd, Doers, ME, Liu, Y, Maguire, C, et al.. Deficits in human trisomy 21 iPSCs and neurons. Proc Natl Acad Sci U S A 2013;110:9962–7. https://doi.org/10.1073/pnas.1216575110.Search in Google Scholar

99. Tang, XY, Xu, L, Wang, J, Hong, Y, Wang, Y, Zhu, Q, et al.. DSCAM/PAK1 pathway suppression reverses neurogenesis deficits in iPSC-derived cerebral organoids from patients with Down syndrome. J Clin Invest 2021;131. https://doi.org/10.1172/jci135763.Search in Google Scholar

100. Benhaourech, S, Drighil, A, Hammiri, AE. Congenital heart disease and Down syndrome: various aspects of a confirmed association. Cardiovasc J Afr 2016;27:287–90. https://doi.org/10.5830/cvja-2016-019.Search in Google Scholar

101. Freeman, SB, Taft, LF, Dooley, KJ, Allran, K, Sherman, SL, Hassold, TJ, et al.. Population-based study of congenital heart defects in Down syndrome. Am J Med Genet 1998;80:213–7. https://doi.org/10.1002/(sici)1096-8628(19981116)80:3<213::aid-ajmg6>3.0.co;2-8.10.1002/(SICI)1096-8628(19981116)80:3<213::AID-AJMG6>3.3.CO;2-#Search in Google Scholar

102. Bergström, S, Carr, H, Petersson, G, Stephansson, O, Bonamy, AK, Dahlström, A, et al.. Trends in congenital heart defects in Infants with down syndrome. Pediatrics 2016;138. https://doi.org/10.1542/peds.2016-0123.Search in Google Scholar

103. Wright, TC, Orkin, RW, Destrempes, M, Kurnit, DM. Increased adhesiveness of Down syndrome fetal fibroblasts in vitro. Proc Natl Acad Sci U S A 1984;81:2426–30. https://doi.org/10.1073/pnas.81.8.2426.Search in Google Scholar

104. Russell, MB, Russell, CA, Niebuhr, E. An epidemiological study of Hirschsprung’s disease and additional anomalies. Acta Paediatr 1994;83:68–71. https://doi.org/10.1111/j.1651-2227.1994.tb12955.x.Search in Google Scholar

105. Bahrami, A, Joodi, M, Moetamani-Ahmadi, M, Maftouh, M, Hassanian, SM, Ferns, GA, et al.. Genetic background of Hirschsprung disease: a bridge between basic science and clinical application. J Cell Biochem 2018;119:28–33. https://doi.org/10.1002/jcb.26149.Search in Google Scholar PubMed

106. Amiel, J, Sproat-Emison, E, Garcia-Barcelo, M, Lantieri, F, Burzynski, G, Borrego, S, et al.. Hirschsprung disease, associated syndromes and genetics: a review. J Med Genet 2008;45:1–14. https://doi.org/10.1136/jmg.2007.053959.Search in Google Scholar PubMed

107. Gui, H, Schriemer, D, Cheng, WW, Chauhan, RK, Antiňolo, G, Berrios, C, et al.. Whole exome sequencing coupled with unbiased functional analysis reveals new Hirschsprung disease genes. Genome Biol 2017;18. https://doi.org/10.1186/s13059-017-1174-6.Search in Google Scholar PubMed PubMed Central

108. Nakazato, Y, Landing, BH. Reduced number of neurons in esophageal plexus ganglia in Down syndrome: additional evidence for reduced cell number as a basic feature of the disorder. Pediatr Pathol 1986;5:55–63. https://doi.org/10.3109/15513818609068848.Search in Google Scholar PubMed

109. Moore, SW. Down syndrome and the enteric nervous system. Pediatr Surg Int 2008;24:873–83. https://doi.org/10.1007/s00383-008-2188-7.Search in Google Scholar PubMed

110. Holmes, G. Gastrointestinal disorders in Down syndrome. Gastroenterol Hepatol Bed Bench 2014;7:6–8.Search in Google Scholar

111. Liu, Y, Lee, YF, Ng, MK. SNP and gene networks construction and analysis from classification of copy number variations data. BMC Bioinf 2011;12:S4. https://doi.org/10.1186/1471-2105-12-s5-s4.Search in Google Scholar

112. Schill, EM, Wright, CM, Jamil, A, LaCombe, JM, Roper, RJ, Heuckeroth, RO. Down syndrome mouse models have an abnormal enteric nervous system. JCI Insight 2019;4. https://doi.org/10.1172/jci.insight.124510.Search in Google Scholar PubMed PubMed Central

113. Purohit, AA, Li, W, Qu, C, Dwyer, T, Shao, Q, Guan, KL, et al.. Down syndrome cell adhesion molecule (DSCAM) associates with uncoordinated-5C (UNC5C) in netrin-1-mediated growth cone collapse. J Biol Chem 2012;287:27126–38. https://doi.org/10.1074/jbc.m112.340174.Search in Google Scholar

114. Mitsogiannis, MD, Pancho, A, Aerts, T, Sachse, SM, Vanlaer, R, Noterdaeme, L, et al.. Subtle roles of down syndrome cell adhesion molecules in embryonic forebrain development and neuronal migration. Front Cell Dev Biol 2021;8. https://doi.org/10.3389/fcell.2020.624181.Search in Google Scholar PubMed PubMed Central

Received: 2023-11-04
Accepted: 2024-01-18
Published Online: 2024-02-09
Published in Print: 2024-02-26

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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