Trends in Anatomy & Physiology Category: Clinical Type: Research Article

Behavioral Physiology of the CNTNAP2 Knockout Mouse

Tanya Gandhi1 and Charles C. Lee1*
1 Department of Comparative Biomedical Sciences, LSU School of Veterinary Medicine, Baton Rouge, LA 70803, United states

*Corresponding Author(s):
Charles C. Lee
Department Of Comparative Biomedical Sciences, LSU School Of Veterinary Medicine, Baton Rouge, LA 70803, United States
Email:cclee@lsu.edu

Received Date: May 08, 2025
Accepted Date: May 19, 2025
Published Date: May 28, 2025

Abstract

Autism spectrum disorders (ASD) are composed of a range of conditions affecting the development of the nervous ststem; these groups of disorders are unified by characteristic impairments in social interaction, communication, and repetitive behaviors. Due to the somewhat hetereogeneous nature of these conditions, several environmental and genetic causes have been associated with ASD. Among the genetic causes, the CNTNAP2 gene is implicated in syndromic forms of ASD. As such, this gene has been studied in the context of animal model systems, primarily mice and rats; these studies have indicated that knockout of the CNTNAP2 gene results in features that are similar to that observed in human ASD. To further assess this animal model of ASD, in this study, we assessed the behavioral phenotypes of CNTNAP2 knockout mice using a range of behavioral assays targeting core and comorbid traits of ASD. We confirmed that CNTNAP2 mutant mice exhibited social interaction deficits, reduced ultrasonic vocalizations, repetitive behaviors, and hyperactivity, aligning with core and comorbid ASD features. Notably, we also identified novel findings: CNTNAP2 knockout mice displayed increased rearing behavior and lacked anxiety-like behaviors, diverging from the assumption that anxiety is a common feature of this model. These results demonstrate that CNTNAP2 knockout mice recapitulate key ASD-related behaviors while highlighting novel behavioral aspects; these data reinforce their utility as an animal model for studying ASD.

Keywords

Autism; Mouse models; CNTNAP2; Repetitive behavior; Anxiety; Social behavior

Introduction

Autism spectrum disorders (ASD) are a group of behavioral disorders that arise due to altered patterns of neurodevelopment. th complex neurodevelopmental condition characterized by core behavioral patterns that result from atypical brain development [1]. The estimated prevalence of ASD has been attributed to several factors, including: ASD research, awareness among the public, health policies, and refined diagnostic criteria [1]; the prevalence currently varies between 60 to 100 per 10,000 children globally [2,3] and 1 in 54 cases in the US [3-8]. 

Early detection, diagnosis, and effective interventions are needed for those with ASD. The diagnostic criteria for ASD relies on identifying a set of core behaviors: social interaction and communication deficits, and repetitive behaviors [9-12]. These behavioral traits are often accompanied by other symptoms such as: hyperactivity, anxiety, seizures, intellectual disabilities, and sleep disturbances [13,14]. The severity and prominence of both core and co-morbid features differ significantly among individuals with ASD [15]. Currently, the standard of care for ASD involves early behavioral interventions, which provides the most favorable outcomes [16,17]. Young children benefit from intensive behavioral therapy, which results in improved social skills and reduced repetitive behaviors. However, even the most prominent behavioral therapies are ineffective in many cases, expensive, time-intensive, and inaccessible in many areas. Thus, understanding gene-based behavioral phenotypes and causes of autism are crucial for developing targeted and effective medical therapeutics to alleviate symptoms and alter progression of the condition [7,18-21]. 

Autistic traits and related behaviors exhibit clinical heterogeneity and are linked to various genetic and environmental risk factors [22-24], with genetics factoring heavily in the etiology of autism [25,26]. Genetic mutations result in a higher likelihood of developing an autistic phenotype in monozygotic twins (92%) compared to dizygotic twins (10%) [20,27]. Numerous candidate genes have been identified as key contributors to the etiological heterogeneity of autism, influencing various neural development processes. Notably here, the CNTNAP2 (contactin-associated protein-like 2) gene is linked to a disorder known as cortical dysplasia focal epilepsy (CDFE); this condition is accompanied by autistic behaviors [28,29]. CNTNAP2 gene variations are correlated with increased risk of autism [28,30,31]. The CNTNAP2 gene encodes the neural transmembrane scaffolding protein, CASPR2 (contactin-associated protein-like 2), which is part of the neurexin superfamily of proteins [32,33]. This protein supports cruicial neural developmental processes, including the localization of voltage-gated potassium channels at the juxtaparanodal region of myelinated axons, the formation of dendritic spines, the mediation of neuron-glia interactions, and the organization of cortical layers [34-37]. 

Mice lacking the CNTNAP2 gene exhibit a range of behaviors that are typical of ASD, including social interaction and communication deficits, repetitive and stereotyped behaviors, and associated comorbid conditions such as hyperactivity, and seizures. Alongside the characteristic behavioral deficits observed in ASD, CNTNAP2 knockout mice display abnormal cortical neuronal migration and connectivity, asynchronous cortical neuronal firing, and an imbalance of cortical excitation and inhibition [38-42]. The altered cortical excitation and inhibition balance contributes to social behavior and information processing deficits [43]. Notable, CNTNAP2 mutant mice exhibit cortical overexpression of perineuronal nets that enwrap parvalbumin-positive interneurons. Digestion of these nets in the prefrontal cortex improves some social interaction deficits, indicating that regulating perineuronal nets and parvalbumin-expressing interneurons is crucial for maintaining excitation/inhibition balance and influencing social behaviors in neurological disorders like autism [40]. Further, these cortical neuroanatomical alterations can contribute to some of the autistic behaviors in this mouse model of the disorder [38,42,44,45]. While literature is available on behavior in the CNTNAP2 knockout mouse model, comparative studies conducting different behavioral tests on the CNTNAP2 mutant mouse strain are essential. Behavioral assays are influenced by both the genetic background of the experimental animals and specific experimental conditions [46,47]. 

Here, we demonstrate that the CNTNAP2-/- knockout mouse model exhibits behaviors that are analogous to those in human ASD. The CNTNAP2-/- mice display deficits in social interaction, communication, and stereotypic behaviors. In addition, we also performed behavioral tests evaluating ASD-associated co-morbid symptoms in the CNTNAP2-/- mice. The CNTNAP2-/- mice show hyperactive behavior as depicted by increases in locomotor activity. Hence, these data provide further validity of the autistic behavioral phenotype in the CNTNAP2-/-  mouse model of ASD that could be utilized to understand its role in brain development and function.

Methods

Animal Care and Housing 

Wild-type (WT) C57BL/6J (strain: 000664) and mutant CNTNAP2 (strain: 017482) mice were obtained from the Jackson Laboratory (Bar Harbor, ME, USA). The offspring from these breeders were used for the study. All experimental protocols were approved by the Institutional Animal Care and Use Committee (IACUC) at Louisiana State University (Baton Rouge, LA, USA). The mice were group housed in a temperature- and humidity-controlled environment with a 12-hour light/dark cycle, lights on at 7:00 am, and had unlimited access to food and water. 

Behavioral assays 

Mice underwent behavioral testing focused on core ASD domains, such as sociability and communication deficits, as well as repetitive behaviors. In addition, the mutant mice were also assessed for ASD-associated co-morbid behaviors. These procedures are similar to those that we have described previously [40].

  • Three-chamber social interaction assay 

The three-chamber social interaction test evaluated the time subject mice spend with stranger mice [48-50]. Two to three days before the test, mice were first acclimiated to the chamber for 30 min to 1 hour. Stranger mice were habituated in an inverted holding cup for 30 minutes daily over two days, ensuring they remained calm during testing. To prevent side bias, the placement of the stranger mice was alternated between the left and right portions of the chamber during habituation. The test consisted of three phases: Phase I involved 5 minutes of habituation in the center chamber with entry to the other chambers closed off. Phase II allowed 10 minutes for exploration of all empty chambers. In Phase III, during the sociability test, the subject mice was allowed 10 minutes to expore the chamber: one side (labeled ‘E’) featuring an empty cup and the other side (labeled ‘S1) held a gender-matched stranger mouse (C57BL/6J). As a control for side preferance, the stranger mouse position was switched between the two sides. The time spent interacting with the stranger mouse was analyzed using ANY-maze software (Wood Dale, IL, US), and the percentage of time spent with the stranger mouse (S1) was calculated as [(S1 / (S1 + E)) × 100]. 

  • Recording USV in pups 

Ultrasonic vocalizations emitted by rodent pups were used for assessing vocal communication [51]. Pups emit calls more frequently upon separation from the home cage and dam. These repeated vocalizations elicit maternal retrieval behavior in the dam.  USVs were elicited in rodent pups, leading to robust data collection in a short period of time. A sound attenuating chamber was used for the recording of vocalizations with a microphone attached to the unit. A mouse pup was held in a glass beaker located inside a chamber that attenuated sound. An ultrasonic microphone (#AT125, Binary Acoustics, PA, US) was placed above the beaker to record the calls. The vocalizations were recorded using the SPECT’R software (Binary Acoustics, PA, US) for 10 min. SCAN’R software (Binary Acoustics, PA, US) was used to analyze the recordings. In the SCAN’R software, the cut-off frequency was set at 30kHz, filtering out the background noise, and the minimum duration of calls was set at 5ms. The calls were recorded and analyzed at different postnatal age groups such as postnatal day (PD) 4, 6, 8, 10, and 12. At the end of the recording, the pup was removed, weighed, tail marked, and returned to the home cage. The measures evaluated include call rate (number of calls per minute), and body weight. 

  • Self-grooming test 

Rodent self-grooming is an inherent behavior. Over- and under-grooming is a manifestation of genetic mutations, stress, and altered gene-environment interactions, as previously described [52]. This behavioral test was always conducted in the afternoon between 14:00 and 18:00 h. Habituation of the animals was performed in the testing room, 3 days before the test (2-3 hours) and then again on the test day (30 min before starting). During the test, the first 10 min were recorded as baseline habituation assessment; the next 10 min were used to assess self-grooming behavior. Videos of grooming behavior were captured using a camera that was located above the cage (1080 HD, Logitech, CA, USA). 70% ethanol was used to clean the chamber between tests to eliminate any residual odors. Manual analysis of videos was performed in a randomized fashion using MATLAB software (MathWorks, US). The spontaneous self-grooming behavior was analyzed during the different developmental (postnatal) age groups (PD18, PD32, and PD60). Motor stereotypies observed include repetitive self-grooming and vertical rearing i.e., time spent climbing and/or jumping on the side walls of the test apparatus. 

  • Y-maze spontaneous alteration test 

Mice naturally explore new environments i.e., exploratory behavior. In the Y-maze test, mice typically tend to investigate a new arm of the maze rather than returning to a previously visited arm, as we previously described [53]. We employed a custom-made Y-shaped maze with three identical arms connected to each other at an angle of 120°. The mice were placed in the center of the Y-maze with free access to all three arms. The mice freely explored all three arms of the Y-maze for 5 min. The spontaneous alterations were measured as the percentage of alterations by recording the number of arm entries and sequence of entries. An arm entry was measured when all four limbs were within the arm (85% of the body in the arm). A spontaneous alteration was scored when a mouse entered a different arm of the maze (no repetition) in a sequence of arm visits i.e. A to B to C. Spontaneous alteration % was calculated as follows:

  • Open-field test 

The open-field maze assess the inherent mouse behavior to avoid open spaces [54]. We used a sqaure maze with dimensions of 40 ´ 40 ´ 30 (l´w´h in cm; Maze Engineers, Boston, MA). Before testing, acclimation of mice in the testing room was performed for 30-60 min. As above, 70% ethanol was used to clean between tests. Video recording was performed as noted above. Furing the test, the mouse was able to explore the area for 5 min. The video data files were analyzed in ANY-maze (Stoelting). Using the software, the test area was divided into 5 x 5 square grids for analyzing the travel distance traveled, entries and time spent in center and periphery regions, time spent immobile, and fecal boli count.

  • Light-dark Exploration Test 

The light-dark exploration test is used to assess anxiety-like behaviors in rodent models, as previously described [55]; rodents prefer the dark compartment and avoid the illuminated light compartment. The light-dark apparatus was made up of a rectangular box divided equally into light and dark compartments, which were made of black and white acrylic sheets. The mice were acclimated to the testing room 30-60 min before the test. The mouse was started in the light side compartment and explored both chambers for 5 min. Video was recorded as noted above. ANY-maze ANY-maze (Stoelting) was used to measure the total time and entries in the dark and light sides of the chamber. 

  • Forced Swim test 

The forced swim test is commonly used to assess depressive-like and stress-coping behaviors, as described previously [56]. We used a glass beaker (5L) filled with water to a depth of 20 cm. A mouse was placed into the beaker and allowed to swim freely for 5 min. Video was recorded using a camera (1080 HD, Logitech, CA, USA) located on the side of the beaker. Two mice were tested simultaneously using a black cardboard sheet to block each other’s view. The immobility time was then determined from the recorded videos. 

  • Statistical Analysis 

Data were analyzed using Student’s t-test to determine significant differences among groups, with a p-value of < 0.05 considered statistically significant. Statistical analysis was performed using GraphPad Prism 5 (GraphPad Software, La Jolla, CA).

Results

As ASD diagnostic criteria primarily depend on the characterization of behavioral symptoms, we performed behavioral tests relevant to core ASD behavioral domains and associated co-morbid symptoms [38]. 

Social interaction behavior deficits 

Social behavior in Cntnap2 mutant mice was conducted with the three-chamber social interaction test in adult CNTNAP2-/- and C57BL/6J mice [48]. In this test, the habituation data (phase II test) confirmed the lack of chamber preference in the control and test mice (i.e., the subject spends similar time in the left and right chambers  this confirmed that the room cues were well balanced before moving on with sociability (phase III) tests [48]. The number of entries in the two sides of the chamber was significantly increased in the CNTNAP2 KO mice indicating increased locomotion. The CNTNAP2-/- mice showed a sociability deficit, spending less time with the stranger (S1) mouse than the control (E) mice. Additionally, the time spent in the center chamber was greater in the mutant group than in the WT group. Further, the mutant group spent more time immobile in the chamber with an empty object compared to the chamber housing stranger mice, indicating abnormal social behavior in the mutant strain. The CNTNAP2-/- mice also exhibited hyperactive behavior as observed by more total entries in the 3-chamber apparatus compared to the WT mice. Total distance traveled did not differ between the groups during the test (Figures 1A-1H). 

Three-chamber sociability performance in mice

Figure 1: Three-chamber sociability performance in mice. (A, B) no chamber preference between the groups and increased entries in both the left and right chamber of the three-chamber test apparatus in the CNTNAP2-/- group than the C57BL/6J group during the habituation phase of the social interaction test (C, D) CNTNAP2-/- mice spent less time with the stranger mice and spent more time in the center chamber as compared to the C57BL/6J mice (E, F) Decreased time spent immobile in the chamber housing stranger mouse and increased time spent immobile in the chamber housing object in the CNTNAP2 -/- group compared to the C57BL/6J group (G, H) Increased number of total entries in all the three chambers of the test apparatus in the CNTNAP2-/- group as compared to the C57BL/6J group and no change in the total distance traveled between the groups. C57BL/6J (n=20) and CNTNAP2-/- (n=22) mice. Data expressed as mean ± SEM (p < 0.05).

Impairments in communication 

ASD mouse models typically exhibit altered ultrasonic vocalizations (USVs) [57,58]. The communication deficit in mutant mice was assessed by recording the USVs elicited by the pups following maternal separation. These vocalizations are distress calls produced by the pups to elicit maternal retrieval behavior that is a necessary component in normal infant-mother interactions; this is critical for infant growth and development and potentially relevant to ASD [38,46,59-61]. We examined USVs in mutant and WT mice across different postnatal (PD) developmental ages (PD4, PD6, PD8, PD10, and PD12). The CNTNAP2-/- pups after separation from the dam and the littermates elicited calls less frequently as compared to the C57 control pups at different postnatal ages, confirming communication deficit in the CNTNAP2-/- mice early in the development (Figures 2A, 2B). This reduction in mutant pup calls paralleled the decrease in body weight of the mutant group as compared to the control group at different developmental ages. Previous observations in CNTNAP2 mutant mice have shown reduced vocalizations and auditory processing impairments, indicative of abnormal communication in the mutant mice [38,62]. Ultrasonic vocalizations emitted by the mouse pups

Figure 2: Ultrasonic vocalizations emitted by the mouse pups. (A) Calls emitted per minute by the CNTNAP2-/-, and C57BL/6J pups across different postnatal ages (B) Body weight measure of CNTNAP2-/- and C57BL/6J pups across various postnatal ages. C57BL/6J PD4 - PD10 (n=10-12); PD12 (n=8), and CNTNAP2-/- PD4 - PD10 (n=11-12); PD12 (n=5) mice. Data expressed as mean ± SEM (p < 0.05).

Repetitive and stereotyped behaviors 

Individuals with ASD exhibit motor stereotypies and impairments in behavioral flexibility including repetitive behaviors [63-65]. The CNTNAP2-/- mice showed a decrease in grooming duration at PD32 compared to C57 mice. However, the CNTNAP2-/- mice showed increased grooming frequency (grooming bouts) at PD60 with respect to control mice. There was no difference in the rearing duration between the groups at any of the postnatal ages. The CNTNAP2-/- mice demonstrate enhanced rearing frequency (number of vertical jumps) at PD18 and PD32 than the control group. Further, the CNTNAP2-/- mice showed an increase in the duration of locomotion at PD32 and a decrease in the duration of inactivity compared to control mice at PD60, indicating hyperactivity in the mutant group. However, the CNTNAP2-/- mice showed an increase in duration of inactivity than the mice at PD32. This increase in both locomotion and inactivity observed at postnatal day 32 can be explained by behavioral rigidity in the mutant strain affecting overall activity patterns, leading to increased hyperactivity followed by periods of extended inactivity [38,66,67]. These observations indicate stereotypic behaviors manifested by the CNTNAP2-/- mice at various developmental ages. Lastly, the CNTNAP2 mutant group had less fecal boli count as opposed to the group at PD18, but fecal boli count did not differ between groups at other postnatal ages (Figures 3A-3G). 

Repetitive self-grooming measures at PD18, PD32, and PD60

Figure 3: Repetitive self-grooming measures at PD18, PD32, and PD60 (A, B) self-grooming duration and frequency, (C, D) vertical rearing duration and frequency, (E, F) duration of locomotion and inactivity, and (G) fecal boli count in CNTNAP2-/-, and C57BL/6J mice. C57BL/6J (n=15-22), and CNTNAP2-/- (n=12-18) mice. Data expressed as mean ± SEM (p < 0.05).

Parameters such as exploratory behavior and spatial working memory can be measured in the Y-maze test. Mice are exploratory in nature and tend to explore all aspects of their new environment. This innate exploratory behavior was assessed using the Y-maze, in which the mice explored different arms of the maze [53,68]. Further, a Y-maze spontaneous alternation test was performed to assess perseverative tendency and behavioral inflexibility. CNTNAP2-/- mice exhibited an increase in total distance traveled and the mean speed in the Y-maze spontaneous alternations test. No change was observed in the spontaneous alternations as well as the number of total entries into different arms of the Y-maze between the groups (Figures 4A-4D). 

Y-maze spontaneous alternations test data measures

Figure 4: Y-maze spontaneous alternations test data measures (A) the percentage of spontaneous alternations, (B) the number of total arm entries, (C) the total distance traveled, and (D) the mean speed in CNTNAP2-/- and C57BL/6J mice. C57BL/6J (n=18), and CNTNAP2-/- (n=18) mice. Data expressed as mean ± SEM (p < 0.05).

ASD-linked comorbidities: hyperactivity, anxiety, and depression-like behavior 

Mice were then assayed to detect potential confounding factors. Associated co-morbid symptoms that occur in some autistic individuals include hyperactivity, anxiety, hyper-reactivity and hypo-reactivity to sensory stimulation, seizures, and gastrointestinal problems [38]. We conducted open-field and light-dark exploration tests to measure anxiety-related behavior and locomotor activity. In the open-field test, there was no difference among groups in the total time spent and the number of total entries in the periphery and center areas of the open-field apparatus, suggesting an absence of open-space anxiety-related behavior in the mutant group (Figures 5A-5J). However, the CNTNAP2-/- mice exhibited increases in total distance traveled, total peripheral distance traveled, and mean speed, suggesting greater locomotor activity than their WT littermates in the open field test. 

Open-field test data measures

Figure 5: Open-field test data measures (A) the percentage of time spent in the center, (B) the percentage of time in the periphery, (C) the number of entries in the center, (D) the number of entries in the periphery, (E) the total distance traveled, (F) the total distance traveled in the center, (G) the total distance traveled in the periphery, (H) the mean speed, (I) the percentage of time spent immobile, and (J) the fecal boli count in CNTNAP2-/- and C57BL/6J mice. C57BL/6J (n=23), and CNTNAP2-/- (n=19) mice. Data expressed as mean ± SEM (p < 0.05). 

Furthermore, to assess anxiety-related responses, we performed the light-dark transition test that measures the aversion of mice to brightly lit spaces, indicating bright-space anxiety [69]. There was no difference between the CNTNAP2-/- and C57 groups in the amount of time spent in the light and dark chamber of the light-dark test apparatus, which confirms that the CNTNAP2 mutant mouse model of autism does not show anxiety-related behavior. Additional measures of the light-dark test indicate an increase in total distance traveled, and mean speed with no change in time spent immobile among groups (Figures 6A-6G). 

The dark-light box test measures

Figure 6: The dark-light box test measures (A) the time spent in the dark compartment, (B) the time spent in the light compartment, (C) the total number of entries in the dark compartment, (D) the total number of entries in the light compartment, (E) the total distance traveled, (F) the mean speed, and (G) time spent immobile in the test apparatus in CNTNAP2-/- and C57BL/6J mice. C57BL/6J (n=17), and CNTNAP2-/- (n=16) mice. Data expressed as mean ± SEM (p < 0.05). 

The depressive-like behavior in mice was measured using the forced swim behavioral test. Depressive behavior correlates with altered response to stress and difficulty in adapting to a change. No difference was observed between groups in the amount of time spent immobile (Figure 7A), indicating no stress-related depressive behaviors in the CNTNAP2 mutant group. 

Forced-swim test measureFigure 7: Forced-swim test measure (A) the time spent immobile in CNTNAP2-/- and C57BL/6J groups. C57BL/6J (n=12), and CNTNAP2-/- (n=12) mice. Data expressed as mean ± SEM (p < 0.05) (p < 0.1).

Discussion

The etiology of ASD is extremely heterogeneous [22,24]. Behavioral testing in animal models, particularly in mice harboring gene mutations relevant to autism, is crucial for advancing knowledge and understanding mechanisms contributing to such behavioral symptoms. Such models facilitate the investigation of how specific genetic alterations influence behavior and neurodevelopment, shedding light on the mechanisms underlying disorders like autism [46,49]. Evaluating behaviors such as social interaction, communication, and repetitive actions, can help discern the phenotypic effects of genetic mutations [70,71]. Behavioral assessment studies in mice not only contribute towards elucidating the pathophysiology and underlying neural mechanisms of neurodevelopmental disorders but also support the assessment of potential therapeutic interventions [19,61]. Additionally, behavioral testing in genetically modified mice allows for the examination of how targeted treatments might alleviate or reverse abnormal behaviors, thereby contributing to the development of effective management and treatment strategies [20,61]. 

Our study builds upon existing behavioral phenotyping of the CNTNAP2 mutant mice, providing additional insights and expanding understanding of their behavioral repertoire. Here, we show that CNTNAP2 knockout mice exhibit many of the behavioral features observed in patients with idiopathic autism and with recessive CNTNAP2 mutations that cause a syndromic form of autism [34]. Cntnap2 KO mice have normal anxiety-related responses but show abnormal vocal communication, repetitive behaviors, and abnormal social interactions [38]. In addition, they also show hyperactivity which is a co-existing feature in both CDFE patients and in many patients with ASD. 

Social interaction deficits are a core behavior in ASD. Mice, being a highly social species, naturally engage in behaviors such as socially investigating unfamiliar conspecifics, communal nesting, group huddling for sleep, parental care, and juvenile play [72-74]. The sociability test measures the inclination to approach and socially investigate another mouse. Previous studies have shown significant correlations between the time spent sniffing and the time spent in the chamber with the stranger mouse, indicating that the normal subject mice prefer to interact with the stranger mouse [75-77]. Hence, in this study reduced time spent in the chamber with the stranger mouse confirmed social interaction deficits in the CNTNAP2 mutant mice model. 

Impaired social communication is also a core feature of ASD [78,79]. Although mice do not vocalize in a language-like manner, they do exhibit robust social communication mechanisms, including the emission of ultrasonic vocalizations. A well-known example of social communicative behavior in rodents is the ultrasonic vocalization produced by pups when they are away from the nest. These ultrasonic "distress" calls prompt the parents to locate and return the pup to the nest. Reduced levels of these infant vocalizations may be indicative of the communication deficits seen in autism [61,80-82]. In this study, reduced vocalizations were observed in the CNTNAP2 mutant mice pups, suggesting a communication deficit at an early phase of life in the mutant group. These findings are consistent with previous research linking CNTNAP2 mutations to impaired social communication, further validating the role of this gene in early neurodevelopmental deficits.  

Autistic individuals often maintain rigid, ritualistic routines, and display repetitive behaviors [82]. Compulsive behaviors are also observed in ASD mice models [83]. Notably, repetitive behaviors manifest as persistent grooming, jumping, sniffing, circling, digging, and continuous cage-running [84]. Self-grooming is an innate behavior in animals, essential for hygiene, and other physiologically important processes, and is remarkably consistent across species [85-87]. While humans also engage in self-grooming, it can become pathological under stress or in certain neuropsychiatric disorders [88-91]. Rodent self-grooming, therefore, serves as a valuable indicator for complex, repetitive, and self-directed behaviors, offering insights into the neural basis of complex behavioral regulation in both normal and abnormal conditions, which may be relevant to understanding similar behaviors in humans [87]. Self-grooming in rodents mirrors pathological repetitive behaviors like behavioral perseveration; thus studying rodent strains that display these traits is essential for identifying neural circuits and genes linked to ASD [92,93]. In the grooming behavioral analysis, we found that the CNTNAP2 mutant mice exhibited repetitive and stereotypic behaviors, such as increased grooming frequency. This finding aligns with previous research that has demonstrated increased grooming and stereotypic behaviors in CNTNAP2 mutant animals [83]. Notably, our study also observed increased rearing frequency in CNTNAP2 mutant mice. However, in another study, no significant difference was found in rearing in CNTNAP2-/- mice [94], but CNTNAP2-/- rats displayed increased rearing [95]. The grooming and rearing behaviors were assessed in an empty standard mouse cage, which may have influenced the observed behavioral differences, which differs from other studies conducted in open-field arenas. Hence, our results add new insights by demonstrating increased rearing in CNTNAP2-/- mice. 

In terms of locomotion, our findings highlight heightened locomotor activity across various tests. In the Y-maze spontaneous alternation test, the CNTNAP2-/- mice exhibit an increase in total distance traveled and mean speed with no considerable difference in spontaneous alternations or number of total arm entries. This combination of increased locomotion and unchanged alternation behavior indicates that the CNTNAP2-/- mice exhibit hyperactivity and stereotypy without any behavioral inflexibility in this specific test. This heightened locomotion was consistent across other tests, including the open-field and dark-light box tests, where CNTNAP2-/- mice exhibited increased exploratory movement. These findings are consistent with hyperactivity rather than anxiety, as CNTNAP2-/- mice did not exhibit behaviors typically associated with anxiety, such as freezing or avoidance in the light-dark box or forced swim tests. This aligns with previous studies reporting increased locomotor activity in mouse models of autism [96-99]. However, in another study, no significant difference was found in the total distance traveled in CNTNAP2-/- mice [94], but CNTNAP2-/- rats displayed hyper-locomotion [95]. These findings may reflect species-specific differences or the unique testing conditions employed in this study. Ultimately, the heightened locomotor activity across various tests supports the notion that hyperactivity, rather than anxiety, is a characteristic of the CNTNAP2-/- autism model associated with autistic behavioral traits. 

The fecal boli count in mice is commonly used as an indicator of anxiety or stress-related behaviors in rodent models. Increased defecation during behavioral tests is often interpreted as a physiological stress response, with higher fecal boli counts generally correlating with elevated anxiety and heightened emotional arousal in mice [100]. In this study, we observed no significant difference in fecal boli count between the CNTNAP2-/- mice and controls, except at PD18 during the grooming test, where controls released more fecal boli, which could be attributed to the younger age of the mice at the time of testing. This suggests that the knockout mice do not exhibit heightened anxiety or stress during the grooming and open-field tests. This finding is novel, as it demonstrates that despite exhibiting core autism-related behaviors—such as altered social interactions, repetitive behaviors, communication deficits, and hyperactivity—the CNTNAP2-/- mice do not display elevated anxiety based on this measure. This dissociation between autism-related traits and anxiety in CNTNAP2-/- mice challenges the assumption that anxiety always co-occurs with these traits and underscores the complexity of behavioral phenotyping in this model. The lack of difference in fecal boli count suggests that anxiety may not be a primary or distinguishing factor in this model, highlighting a unique aspect of the CNTNAP2-/- behavioral phenotype. 

As autism is diagnosed based on behavioral rather than physiological criteria, the validity of mouse models for this disorder relies on their ability to accurately reflect core behavioral symptoms, such as social interaction impairments, communication deficits, and stereotypic behaviors. Comprehensive behavioral phenotyping is a crucial strategy to identify promising mouse models for further genetic characterization of ASD. The CNTNAP2 knockout mouse model, through the behavioral alterations observed in this study, provides valuable insight into these core symptoms [101-103]. These mutant mice are thus a viable animal model for understanding the underlying neural mechanisms, and pharmacological and biological targets to develop therapeutic interventions aimed at the primary symptoms of ASD [38,46,70,104-107]. Such mouse models have shown encouraging results [1,108], providing evidence that different neural pathways contribute to the ASD-related core behavioral features. This study supports the use of the CNTNAP2 mouse model for testing new therapeutic strategies and strengthens the existing behavioral data on CNTNAP2 mutant mice, laying a foundation for future investigations into the neural mechanisms underlying ASDs and the development of potential therapeutic approaches.

Conclusion

Rodent models can advance our understanding of disease mechanisms and evaluating the potential efficacy of therapeutic interventions. In this study, the behavior of CNTNAP2 knockout and C57BL/6J wildtype mice were compared, confirming several behaviors previously reported in the literature. CNTNAP2 knockout mice exhibited social interaction deficits, impaired communication, increased grooming, and hyperactivity—behaviors consistent with prior findings. Notably, our study also identified novel results, including increased rearing behavior and a lack of anxiety in the CNTNAP2 knockout mice. These findings suggest that while CNTNAP2 knockout mice replicate key ASD-related behaviors such as social interaction deficits and repetitive behaviors, anxiety may not be a distinguishing feature in this model. Continued behavioral evaluation of such models is essential for gaining comprehensive insights into the disorder and uncovering neural pathways and mechanisms that could lead to targeted therapies for neurological and neuropsychiatric disorders.

References

  1. Gandhi T, Lee CC (2021) Neural mechanisms underlying repetitive behaviors in rodent models of autism spectrum disorders. Frontiers in Cellular Neuroscience
  2. Lord C, Charman T, Cusack J, Guillaume D, Frazier T, et al. (2020) Autism spectrum disorder (Primer). Nature Reviews: Disease Primers
  3. Zeidan J, Fombonne E, Scorah J, Ibrahim A, Durkin MS, et al. (2022) Global prevalence of autism: A systematic review update. Autism Research 15: 778-790.
  4. Maenner MJ, Shaw KA, Baio J, EdS1, Washington A, et al. (2020) Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2016. MMWR Surveillance Summaries69: 1.
  5. Zablotsky B, Black LI, Maenner MJ, Schieve LA, Danielson ML, et al. (2019) Prevalence and trends of developmental disabilities among children in the United States: 2009–2017. Pediatrics
  6. Maenner MJ, Shaw KA, Bakian AV, Bilder DA, Durkin MS, et al. (2021) Prevalence and characteristics of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2018. MMWR Surveillance Summaries70: 1.
  7. GuiFeng X, Strathearn L, BuYun L, Wei B (2018) Prevalence of autism spectrum disorder among US children and adolescents, 2014-2016. JAMA, Journal of the American Medical Association319: 81-82.
  8. Salari N, Rasoulpoor S, Rasoulpoor S, Shohaimi S, Jafarpour S, et al. (2022) The global prevalence of autism spectrum disorder: a comprehensive systematic review and meta-analysis. Italian Journal of Pediatrics48: 112.
  9. Baranek GT (1999) Autism during infancy: A retrospective video analysis of sensory-motor and social behaviors at 9–12 months of age. Journal of autism and developmental disorders29: 213-224.
  10. Lord C, Cook EH, Leventhal BL, Amaral DG (2000) Autism spectrum disorders. Neuron28: 355-363.
  11. Wetherby AM, Woods J, Allen L, Cleary J, Dickinson H, et al. (2004) Early indicators of autism spectrum disorders in the second year of life. Journal of autism and developmental disorders34: 473-493.
  12. Osterling J, Dawson G (1994) Early recognition of children with autism: A study of first birthday home videotapes. Journal of autism and developmental disorders24: 247-257.
  13. Richler J, Bishop SL, Kleinke JR, Lord C (2007) Restricted and repetitive behaviors in young children with autism spectrum disorders. Journal of autism and developmental disorders37: 73-85.
  14. King BH, Hollander E, Sikich L, McCracken JT, Scahill L, et al. (2009) Lack of efficacy of citalopram in children with autism spectrum disorders and high levels of repetitive behavior: citalopram ineffective in children with autism. Archives of general psychiatry66: 583-590.
  15. Landrigan PJ (2010) What causes autism? Exploring the environmental contribution. Current opinion in pediatrics22: 219-225.
  16. Lord C, Jones RM (2013) New strategies and findings for behavioral interventions in autism spectrum disorders. Annals of the New York Academy of Sciences1304: 70-76.
  17. Rogers SJ, Estes A, Lord C, Vismara L, Winter J, et al. (2012) Effects of a brief Early Start Denver Model (ESDM)–based parent intervention on toddlers at risk for autism spectrum disorders: A randomized controlled trial. Journal of the American Academy of Child & Adolescent Psychiatry51: 1052-1065.
  18. Sheldrick RC, Carter AS (2018) State-level trends in the prevalence of Autism Spectrum Disorder (ASD) from 2000 to 2012: A reanalysis of findings from the autism and developmental disabilities network. Journal of autism and developmental disorders48: 3086-3092.
  19. Kazdoba TM, Leach PT, Crawley JN (2016) Behavioral phenotypes of genetic mouse models of autism. Genes Brain Behav15: 7-26.
  20. Eissa N, Al-Houqani M, Sadeq A, Ojha SK, Sasse A, et al. (2018) Current enlightenment about etiology and pharmacological treatment of autism spectrum disorder. Frontiers in neuroscience12: 304.
  21. Chahin SS, Apple RW, Kuo KH, Dickson CA (2020) Autism spectrum disorder: psychological and functional assessment, and behavioral treatment approaches. Translational Pediatrics9: S66.
  22. Levitt P, Campbell DB (2009) The genetic and neurobiologic compass points toward common signaling dysfunctions in autism spectrum disorders. The Journal of clinical investigation119: 747-754.
  23. Muhle R, Trentacoste SV, Rapin I (2004) The genetics of autism. Pediatrics113: e472-e486.
  24. Satterstrom FK, Kosmicki JA, Wang J, Breen MS, De Rubeis S, et al. (2020) Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell180: 568-584.
  25. Stubbs G, Henley K, Green J (2016) Autism: will vitamin D supplementation during pregnancy and early childhood reduce the recurrence rate of autism in newborn siblings? Medical hypotheses88: 74-78.
  26. Ronemus M, Iossifov I, Levy D, Wigler M (2014) The role of de novo mutations in the genetics of autism spectrum disorders. Nature Reviews Genetics15: 133-141.
  27. Castelbaum L, Sylvester CM, Zhang Y, Yu Q, Constantino JN (2020) On the nature of monozygotic twin concordance and discordance for autistic trait severity: a quantitative analysis. Behavior genetics50: 263-272.
  28. Arking DE, Cutler DJ, Brune CW, Teslovich TM, West K, et al. (2008) A common genetic variant in the neurexin superfamily member CNTNAP2 increases familial risk of autism. The American Journal of Human Genetics82: 160-164.
  29. Peñagarikano O, Geschwind DH (2012) What does CNTNAP2 reveal about autism spectrum disorder? Trends in molecular medicine18: 156-163.
  30. Alarcón M, Abrahams BS, Stone JL, Duvall JA, Perederiy JV, et al. (2008) Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene. The American Journal of Human Genetics82: 150-159.
  31. Poot M, Beyer V, Schwaab I, Damatova N, Van't Slot R, et al. (2010) Disruption of CNTNAP2 and additional structural genome changes in a boy with speech delay and autism spectrum disorder. neurogenetics11: 81-89.
  32. Dean C, Dresbach T (2006) Neuroligins and neurexins: linking cell adhesion, synapse formation and cognitive function. Trends in neurosciences29: 21-29.
  33. Südhof TC (2008) Neuroligins and neurexins link synaptic function to cognitive disease. Nature455: 903-911.
  34. Strauss KA, Puffenberger EG, Huentelman MJ, Gottlieb S, Dobrin SE, et al. (2006) Recessive symptomatic focal epilepsy and mutant contactin-associated protein-like 2. New England Journal of Medicine354: 1370-1377.
  35. Poliak S, Salomon D, Elhanany H, Sabanay H, Kiernan B, et al. (2003) Juxtaparanodal clustering of Shaker-like K+ channels in myelinated axons depends on Caspr2 and TAG-1. The Journal of cell biology162: 1149-1160.
  36. Rodenas-Cuadrado P, Ho J, Vernes SC (2014) Shining a light on CNTNAP2: complex functions to complex disorders. European journal of human genetics22: 171-178.
  37. Anderson GR, Galfin T, Xu W, Aoto J, Malenka RC, et al. (2012) Candidate autism gene screen identifies critical role for cell-adhesion molecule CASPR2 in dendritic arborization and spine development. Proceedings of the National Academy of Sciences109: 18120-18125.
  38. Penagarikano O, Abrahams BS, Herman EI, Winden KD, Gdalyahu A, et al. (2011) Absence of CNTNAP2 leads to epilepsy, neuronal migration abnormalities, and core autism-related deficits. Cell147: 235-246.
  39. Gandhi T, et al. (2022) Neuroanatomical, Behavioral and Physiological Alterations in Mouse Models of Autism Spectrum Disorder, LSU Doctoral Dissertation 13: 891.
  40. Gandhi T, Liu C-C, Adeyelu TT, Canepa CR, Lee CC (2023) Behavioral regulation by perineuronal nets in the prefrontal cortex of the CNTNAP2 mouse model of autism spectrum disorder. Frontiers in Behavioral Neuroscience
  41. Kassim A, Mohamed NHB (2019) The global prevalence and diagnosis of autism spectrum disorder (ASD) among young children. Southeast Asia Psychol J7: 26-45.
  42. Gandhi T, Canepa CR, Adeyelu TT, Adeniyi PA, Lee CC (2023) Neuroanatomical Alterations in the CNTNAP2 Mouse Model of Autism Spectrum Disorder. Brain Sciences13: 891.
  43. Yizhar O, Fenno LE, Prigge M, Schneider F, Davidson TJ, et al. (2011) Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature477: 171-178.
  44. Casanova M, Van Kooten I, Switala A, Van Engeland H, Heinsen H, et al. (2006) Abnormalities of cortical minicolumnar organization in the prefrontal lobes of autistic patients. Clinical Neuroscience Research6: 127-133.
  45. Casanova MF, van Kooten IA, Switala AE, van Engeland H, Heinsen H, et al. (2006) Minicolumnar abnormalities in autism. Acta neuropathologica112: 287-303.
  46. Silverman JL, Yang M, Lord C, Crawley JN (2010) Behavioural phenotyping assays for mouse models of autism. Nature Reviews Neuroscience11: 490-502.
  47. Crawley JN (2007) What's wrong with my mouse?: behavioral phenotyping of transgenic and knockout mice: John Wiley & Sons.
  48. Yang M, Silverman JL, Crawley JN (2011) Automated three-chambered social approach task for mice. Current protocols in neuroscience56: 8.26.
  49. Moy SS, Nadler JJ, Young NB, Nonneman RJ, Grossman AW, et al. (2009) Social approach in genetically engineered mouse lines relevant to autism. Genes, Brain and Behavior 8: 129-142.
  50. Kaidanovich-Beilin O, Lipina T, Vukobradovic I, Roder J, Woodgett JR (2011) Assessment of social interaction behaviors. JoVE (Journal of Visualized Experiments)
  51. Ferhat AT, Torquet N, Le Sourd AM, de Chaumont F, Olivo-Marin JC, et al. (2016) Recording mouse ultrasonic vocalizations to evaluate social communication. JoVE (Journal of Visualized Experiments) e53871.
  52. Rhine MA, Parrott JM, Schultz MN, Kazdoba TM, Crawley JN (2019) Hypothesis-driven investigations of diverse pharmacological targets in two mouse models of autism. Autism Research12: 401-421.
  53. Miedel CJ, Patton JM, Miedel AN, Miedel ES, Levenson JM (2017) Assessment of spontaneous alternation, novel object recognition and limb clasping in transgenic mouse models of amyloid-β and tau neuropathology. JoVE (Journal of Visualized Experiments)
  54. Seibenhener ML, Wooten MC (2015) Use of the open field maze to measure locomotor and anxiety-like behavior in mice. JoVE (Journal of Visualized Experiments)
  55. Peça J, Feliciano C, Ting JT, Wang W, Wells MF, et al. (2011) Shank3 mutant mice display autistic-like behaviours and striatal dysfunction. Nature472: 437-442.
  56. Yankelevitch-Yahav R, Franko M, Huly A, Doron R (2015) The forced swim test as a model of depressive-like behavior. JoVE (Journal of Visualized Experiments)
  57. Wöhr M, Schwarting RK (2013) Affective communication in rodents: ultrasonic vocalizations as a tool for research on emotion and motivation. Cell and tissue research354: 81-97.
  58. Scattoni ML, Crawley J, Ricceri L (2009) Ultrasonic vocalizations: a tool for behavioural phenotyping of mouse models of neurodevelopmental disorders. Neuroscience & Biobehavioral Reviews33: 508-515.
  59. Kato R, Machida A, Nomoto K, Kang G, Hiramoto T, et al. (2021) Maternal approach behaviors toward neonatal calls are impaired by mother's experiences of raising pups with a risk gene variant for autism. Developmental Psychobiology63: 108-113.
  60. Tsuji C, Fujisaku T, Tsuji T (2020) Oxytocin ameliorates maternal separation-induced ultrasonic vocalisation calls in mouse pups prenatally exposed to valproic acid. Journal of Neuroendocrinology32: e12850.
  61. Crawley JN (2007) Mouse behavioral assays relevant to the symptoms of autism. Brain pathology17: 448-459.
  62. Truong DT, Rendall AR, Castelluccio BC, Eigsti I-M, Fitch RH (2015) Auditory processing and morphological anomalies in medial geniculate nucleus of Cntnap2 mutant mice. Behavioral neuroscience129: 731.
  63. Goldman S, Wang C, Salgado MW, Greene PE, Kim M, et al. (2009) Motor stereotypies in children with autism and other developmental disorders. Developmental Medicine & Child Neurology51: 30-38.
  64. Singer HS (2009) Motor stereotypies. In: Seminars in pediatric neurology. Elsevier 77-81.
  65. Péter Z, Oliphant ME, Fernandez TV (2017) Motor stereotypies: a pathophysiological review. Frontiers in neuroscience11: 171.
  66. Gdalyahu A, Lazaro M, Penagarikano O, Golshani P, Trachtenberg JT, et al. (2015) The autism related protein contactin-associated protein-like 2 (CNTNAP2) stabilizes new spines: an in vivo mouse study. PloS one10: e0125633.
  67. Lauber E, Filice F, Schwaller B (2018) Dysregulation of parvalbumin expression in the Cntnap2−/− mouse model of autism spectrum disorder. Frontiers in molecular neuroscience11: 262.
  68. Chang YC, Cole TB, Costa LG (2017) Behavioral phenotyping for autism spectrum disorders in mice. Current protocols in toxicology72: 11.22.
  69. Takao K, Miyakawa T (2006) Light/dark transition test for mice. JoVE (Journal of Visualized Experiments)
  70. Ey E, Leblond CS, Bourgeron T (2011) Behavioral profiles of mouse models for autism spectrum disorders. Autism research4: 5-16.
  71. Sukoff Rizzo SJ, Crawley JN (2017) Behavioral phenotyping assays for genetic mouse models of neurodevelopmental, neurodegenerative, and psychiatric disorders. Annual Review of Animal Biosciences5: 371-389.
  72. Blanchard DC, Griebel G, Blanchard RJ (2003) The Mouse Defense Test Battery: pharmacological and behavioral assays for anxiety and panic. European journal of pharmacology463: 97-116.
  73. Rissman EF, Wersinger SR, Fugger HN, Foster TC (1999) Sex with knockout models: behavioral studies of estrogen receptor α. Brain research835: 80-90.
  74. Laviola G, Terranova ML (1998) The developmental psychobiology of behavioural plasticity in mice: the role of social experiences in the family unit. Neuroscience & Biobehavioral Reviews23: 197-213.
  75. Moy S, Nadler J, Perez A, Barbaro R, Johns J, et al. (2004) Sociability and preference for social novelty in five inbred strains: an approach to assess autistic-like behavior in mice. Genes, Brain and Behavior3: 287-302.
  76. Nadler JJ, Moy SS, Dold G, Trang D, Simmons N, et al. (2004) Automated apparatus for quantitation of social approach behaviors in mice. Genes, Brain and Behavior3: 303-314.
  77. Crawley JN (2004) Designing mouse behavioral tasks relevant to autistic-like behaviors. Mental retardation and developmental disabilities research reviews10: 248-258.
  78. Kanner L (1943) Autistic disturbances of affective contact. Nervous child2: 217-250.
  79. Doussard–Roosevelt JA, Joe CM, Bazhenova OV, Porges SW (2003) Mother–child interaction in autistic and nonautistic children: Characteristics of maternal approach behaviors and child social responses. Development and psychopathology15: 277-295.
  80. Covington III HE, Miczek KA (2003) Vocalizations during withdrawal from opiates and cocaine: possible expressions of affective distress. European journal of pharmacology467: 1-13.
  81. Branchi I, Santucci D, Puopolo M, Alleva E (2004) Neonatal behaviors associated with ultrasonic vocalizations in mice (mus musculus): A slow-motion analysis. Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology44: 37-44.
  82. Frith U, Mira M (1992) Autism and Asperger syndrome. Focus on Autistic Behavior7: 13-15.
  83. Thomas AM, Schwartz MD, Saxe MD, Kilduff TS (2017) Cntnap2 knockout rats and mice exhibit epileptiform activity and abnormal sleep–wake physiology. Sleep40: zsw026.
  84. Presti MF, Watson CJ, Kennedy RT, Yang M, Lewis MH (2004) Behavior-related alterations of striatal neurochemistry in a mouse model of stereotyped movement disorder. Pharmacology Biochemistry and Behavior77: 501-507.
  85. Spruijt BM, Welbergen P, Brakkee J, Gispen WH (1988) An ethological analysis of excessive grooming in young and aged rats. Annals of the New York Academy of Sciences525: 89-100.
  86. Spruijt BM, Van Hooff JA, Gispen WH (1992) Ethology and neurobiology of grooming behavior. Physiological reviews72: 825-852.
  87. Kalueff AV, Stewart AM, Song C, Berridge KC, Graybiel AM, et al. (2016) Neurobiology of rodent self-grooming and its value for translational neuroscience. Nature Reviews Neuroscience17: 45.
  88. Prokop P, Fancovicová J, Fedor P (2014) Parasites enhance self-grooming behaviour and information retention in humans. Behavioural processes107: 42-46.
  89. Cohen-Mansfield J, Jensen B (2007) Dressing and grooming: preferences of community-dwelling older adults. Journal of Gerontological Nursing33: 31-39.
  90. Roth A, Kyzar EJ, Cachat J, Stewart AM, Green J, et al. (2013) Potential translational targets revealed by linking mouse grooming behavioral phenotypes to gene expression using public databases. Progress in Neuro-Psychopharmacology and Biological Psychiatry40: 312-325.
  91. Ahmari SE, Spellman T, Douglass NL, Kheirbek MA, Simpson HB, et al. (2013) Repeated cortico-striatal stimulation generates persistent OCD-like behavior. Science340: 1234-1239.
  92. Silverman JL, Tolu SS, Barkan CL, Crawley JN (2010) Repetitive self-grooming behavior in the BTBR mouse model of autism is blocked by the mGluR5 antagonist MPEP. Neuropsychopharmacology35: 976-989.
  93. Pearson B, Pobbe R, Defensor E, Oasay L, Bolivar V, et al. (2011) Motor and cognitive stereotypies in the BTBR T+ tf/J mouse model of autism. Genes, Brain and Behavior10: 228-235.
  94. Cording KR, Tu EM, Wang H, Agopyan-Miu AH, Bateup HS (2024) Cntnap2 loss drives striatal neuron hyperexcitability and behavioral inflexibility. bioRxiv.
  95. Scott KE, Kazazian K, Mann RS, Möhrle D, Schormans AL, et al. (2020) Loss of Cntnap2 in the rat causes autism-related alterations in social interactions, stereotypic behavior, and sensory processing. Autism Research13: 1698-1717.
  96. Kwon CH, Luikart BW, Powell CM, Zhou J, et (2006) Pten regulates neuronal arborization and social interaction in mice. Neuron 50: 377-388.
  97. Nakatani J, Tamada K, Hatanaka F, Ise S, Ohta H, et al. (2009) Abnormal behavior in a chromosome-engineered mouse model for human 15q11-13 duplication seen in autism. Cell137: 1235-1246.
  98. Gerlai R, Pisacane P, Erickson S (2000) Heregulin, but not ErbB2 or ErbB3, heterozygous mutant mice exhibit hyperactivity in multiple behavioral tasks. Behavioural brain research109: 219-227.
  99. Vitali R, Clarke S (2004) Improved rotorod performance and hyperactivity in mice deficient in a protein repair methyltransferase. Behavioural brain research153: 129-141.
  100. Bailey K, Crawley J (2009) Anxiety-related behaviors in mice. Methods of behavior analysis in neuroscience. Frontiers in neuroscience.
  101. Ecker C, Spooren W, Murphy D (2013) Developing new pharmacotherapies for autism. Journal of internal medicine274: 308-320.
  102. Jeste SS, Geschwind DH (2014) Disentangling the heterogeneity of autism spectrum disorder through genetic findings. Nature Reviews Neurology10: 74-81.
  103. Levitt P, Veenstra-VanderWeele J (2015) Neurodevelopment and the origins of brain disorders. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology40: 1-3.
  104. Baudouin SJ, Gaudias J, Gerharz S, Hatstatt L, Zhou K, et al. (2012) Shared synaptic pathophysiology in syndromic and nonsyndromic rodent models of autism. Science338: 128-132.
  105. Silverman JL, Crawley JN (2014) The promising trajectory of autism therapeutics discovery. Drug discovery today19: 838-844.
  106. Spooren W, Lindemann L, Ghosh A, Santarelli L (2012) Synapse dysfunction in autism: a molecular medicine approach to drug discovery in neurodevelopmental disorders. Trends in pharmacological sciences33: 669-684.
  107. Vorstman JA, Spooren W, Persico AM, Collier DA, Aigner S, et al. (2014) Using genetic findings in autism for the development of new pharmaceutical compounds. Psychopharmacology 231: 1063-1078.
  108. Kim H, Lim CS, Kaang BK (2016) Neuronal mechanisms and circuits underlying repetitive behaviors in mouse models of autism spectrum disorder. Behavioral and Brain Functions12: 3.

Citation: Gandhi T, Lee CC (2025) Behavioral Physiology of the CNTNAP2 Knockout Mouse. Trends Anat Physiol 6: 015.

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


Herald Scholarly Open Access is a leading, internationally publishing house in the fields of Science. Our mission is to provide an access to knowledge globally.



© 2025, Copyrights Herald Scholarly Open Access. All Rights Reserved!