Patients with autism spectrum disorder (ASD) frequently experience sleep disturbance. Genetic mutations in the neuroligin 3 (NLG3) gene are highly correlative with ASD and sleep disturbance. However, the cellular and neural circuit bases of this correlation remain elusive. Here, we found that the conditional knockout of Nlg3 (Nlg3-CKO) in the medial septum (MS) impairs social memory and reduces sleep. Nlg3 CKO in the MS caused hyperactivity of MSGABA neurons during social avoidance and wakefulness. Activation of MSGABA neurons induced social memory deficits and sleep loss in C57BL/6J mice. In contrast, inactivation of these neurons ameliorated social memory deficits and sleep loss in Nlg3-CKO mice. Sleep deprivation led to social memory deficits, while social isolation caused sleep loss, both resulting in a reduction in NLG3 expression and an increase in activity of GABAergic neurons in the MS from C57BL/6J mice. Furthermore, MSGABA-innervated CA2 neurons specifically regulated social memory without impacting sleep, whereas MSGABA-innervating neurons in the preoptic area selectively controlled sleep without affecting social behavior. Together, these findings demonstrate that the hyperactive MSGABA neurons impair social memory and disrupt sleep resulting from Nlg3 CKO in the MS, and achieve the modality specificity through their divergent downstream targets.
Haiyan Sun, Yu Shen, Pengtao Ni, Xin Liu, Yan Li, Zhentong Qiu, Jiawen Su, Yihan Wang, Miao Wu, Xiangxi Kong, Jun-Li Cao, Wei Xie, Shuming An
Usage data is cumulative from July 2024 through October 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 1,844 | 0 |
787 | 0 | |
Figure | 23 | 0 |
Supplemental data | 185 | 0 |
Citation downloads | 82 | 0 |
Totals | 2,921 | 0 |
Total Views | 2,921 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.