Resolving heterogeneity in dynamics of synchronization stability within the salience network in autism spectrum disorder.

BACKGROUND: Heterogeneity in resting-state functional connectivity (FC) are one of the characteristics of autism spectrum disorder (ASD). Traditional resting-state FC primarily focuses on linear correlations, ignoring the nonlinear properties involved in synchronization between networks or brain regions. METHODS: In the present study, the cross-recurrence quantification analysis, a nonlinear method based on dynamical systems, was utilized to quantify the synchronization stability between brain regions within the salience network (SN) of ASD. Using the resting-state functional magnetic resonance imaging data of 207 children (ASD/typically-developing controls (TC): 105/102) in Autism Brain Imaging Data Exchange database, we analyzed the laminarity and trapping time differences of the synchronization stability between the ASD subtype derived by a K-means clustering analysis and the TC group, and examined the relationship between synchronization stability and the severity of clinical symptoms of the ASD subtypes. RESULTS: Based on the synchronization stability within the SN of ASD, we identified two subtypes that showed opposite changes in synchronization stability relative to the TC group. In addition, the synchronization stability of ASD subtypes 1 and 2 can predict the social interaction and communication impairments, respectively. CONCLUSIONS: These findings reveal that ASD subgroups with different patterns of synchronization stability within the SN appear distinct clinical symptoms, and highlight the importance of exploring the potential neural mechanism of ASD from a nonlinear perspective.

CDX2 alleviates hypoxia-induced apoptosis and oxidative stress in spermatogenic cells through suppression of reactive oxygen species-mediated Wnt/ß-catenin pathway.

Hypoxia-induced apoptosis and oxidative stress in spermatogenic cells are considered to be important factors leading to male infertility. It was reported that CDX2 expression was downregulated in hypoxia-stimulated spermatogenic cells. However, the effects of CDX2 on hypoxia-induced apoptosis and oxidative stress in spermatogenic cells are still unknown. This study aimed to explore the roles of CDX2 in hypoxia-induced injury of spermatogenic cells, as well as its mechanism of action. Spermatogenic cells were cultured under 1% oxygen for 48 h to established hypoxia damage model. Reactive oxygen species (ROS) generation was determined using 2',7'-dichlorofluorescein diacetate assay. Apoptosis was assessed using flow cytometry. Enzyme-linked immunosorbent assay was used to evaluate oxidative stress markers, including malondialdehyde (MDA) content and the activities of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidases (GSH-Px). Protein levels were detected using western blotting. Hypoxia exposure induced increase in ROS generation, apoptosis rate, and oxidative stress in spermatogenic cells. ROS scavenger inhibited hypoxia-induced apoptosis, oxidative stress, and Wnt/ß-catenin pathway activation. Hypoxia exposure induced CDX2 downregulation. CDX2 overexpression suppressed hypoxia-induced ROS generation, apoptosis rate, oxidative stress, and Wnt/ß-catenin pathway activation. Moreover, CDX2 knockdown restores the inhibitory effects of si-ß-catenin or NAC on hypoxia-induced activation of the Wnt/ß-catenin pathway, apoptosis, and oxidative stress. In conclusion, our study suggests that CDX2 overexpression alleviates hypoxia-induced apoptosis and oxidative stress by suppression of ROS-mediated Wnt/ß-catenin pathway in spermatogenic cells.

Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder.

Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN). Then, the joint recurrence features for the time-varying FC were calculated to assess how the SN dynamically recruits different configurations of network segregation and integration in ASD, that is, synergies, from the dynamical systems perspective. We analyzed the differences in synergetic patterns between ASD subtypes obtained by k-means clustering algorithm based on the synergy of SN and TC, and investigated the relationships between synergy of SN and severity of clinical symptoms of ASD for ASD subtypes. Two ASD subtypes were revealed, where the synergy of SN in ASD subtype 1 has lower stability and periodicity compared to the TC, and ASD subtype 2 exhibits the opposite alteration. Synergy of SN for ASD subtype 1 and 2 was found to predict the severity of communication impairments and restricted and repetitive behaviors in ASD, respectively. These results suggest the existence of subtypes with distinct patterns of the synergy of SN in ASD, and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD.