Biology subjects

Xia, M.

Publications and source records attributed to Xia, M..

76 records · Page 5Linked to original sources

bioRxiv2019

Sleep deprivation selectively down-regulates astrocytic 5-HT2B receptors and triggers depressive-like behaviors via stimulating P2X7 receptors

Chronic loss of sleep damages health and disturbs quality of life. The long-lasting sleep deprivation (SD) as well as sleep abnormalities is a substantial risk factor for major depressive disorder (MDD), although the underlying mechanisms are not clear. In our previous studies, we report the activation of nucleotide-binding domain and leucine-rich repeat protein-3 (NLRP3) inflammasome induced by long-term SD is P2X7 receptors (P2X7R) dependent, and antidepressant fluoxetine could alleviate this neuroinflammasome via 5-HT2B receptors (5-HT2BR) in astrocytes. Here, we discovered that the chronic SD activates astroglial P2X7 receptors, which in turn selectively down-regulated expression of 5-HT2BR in astrocytes. Stimulation of P2X7R induced by SD suppressed the phosphorylation of AKT and FoxO3a selectively in astrocytes, but not in neurones. The over-expression of FoxO3a in astrocytes inhibited expression of 5-HT2BR. Down-regulation of 5-HT2BR instigated by SD suppressed activation of STAT3 and relieved the inhibition of Ca2+-dependent phospholipase A2 (cPLA2). This latter cascade promoted the release of arachidonic acid (AA) and prostaglandin E2 (PGE2). The depressive-like behaviours induced by SD were alleviated in P2X7R-KO mice. Our study reveals the mechanism underlying chronic SD-induced depressive-like behaviors and highlights that blocking P2X7 receptors or activating 5-HT2BR in astrocytes could play a key role for exploring the therapeutic strategies aimed at the depression evoked by sleep disorders.\n\nMain PointsChronic SD selectively down-regulates expression of 5-HT2BR through activation of P2X7R in astrocytes. SD promotes the release of AA and PGE2 via the decreased 5-HT2BR, these factors induce depressive-like behaviors.

neuroscience↗

bioRxiv2019

Comparative transcriptomics reveal that adaptive evolution in immune genes drives the local adaptation and speciation of schizothoracine fish

Transcriptomic information can increase our understanding of the molecular processes underlying speciation. The schizothoracine fish, the largest and most diverse taxon within the Qinghai-Tibetan Plateau (QTP) ichthyofauna, are widespread in drainages throughout the QTP. These fish thus serve as an ideal model group with which to investigate how molecular evolution drives local adaptation during speciation. Here, we performed an interspecific comparative analysis of the transcriptomes of 13 schizothoracine fish species, and identified the key positively selected genes (PSGs) associated with significantly enriched functions and metabolite pathway acting on the specific lineages (or species) in the schizothoracine fish. We generated 64,637,602-83,968,472 sequence reads per schizothoracine fish species using Illumina sequencing, yielding 95,251-145,805 unigenes per species. We identified 52 out of 2,064 orthologous genes as candidate genes, which have probably been subject to positive selection along the whole schizothoracine fish lineage. Nine of these candidate genes were significantly enriched in key GO functions and metabolite pathways, all of which were associated with the immune system. The lineage-specific evolution test showed species-specific differences among the nine candidate PSGs, probably due to ecological differences among drainages, as well as among micro-habitats in the same drainage (e.g., benthic and pelagic). Here, we provide evidence that the adaptive evolution of immune genes, along with the uplift of the QTP, allowed new schizothoracine species to colonize ecologically novel environments or to exploit vacant ecological niches during speciation.\n\nSupplemental material available at FigShare: https://doi.org/10.25387/.

evolutionary biology↗

bioRxiv2019

Transcriptional Signatures of the Hierarchical Chronnectome Organization in the Human Brain

The chronnectome of the human brain represents the dynamics of functional organization in interacting regions, but its organizational principle and the underlying molecular mechanisms remain unclear. Using task-free fMRI and postmortem gene expression data, we conduct a transcriptome-chronnectome association study to investigate the spatial configurations of dynamic brain networks and their associations with transcriptional signatures. We reveal a spatial layout of network dynamics in the human brain chronnectome that reflects the cortical hierarchy and myelin content spanning from primary to transmodal areas. We further identify the transcriptional signature of this layout, with the top-related genes enriched for the ion channel and mitochondria terms. Moreover, the expression of these genes significantly predicts brain dynamics-behavior coupling. These findings highlight the hierarchical organizing principle and underlying molecular basis of the spatial configurations of dynamic brain networks, thereby contributing to our understanding of the associations among gene expression, network dynamics, and behaviors.

neuroscience↗

bioRxiv2019

Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals

Resting-state functional MRI (R-fMRI) studies have demonstrated widespread alterations in brain function in patients with major depressive disorder (MDD). However, a clear and consistent conclusion regarding a repeatable pattern of MDD-relevant alterations is still limited due to the scarcity of large-sample, multisite datasets. Here, we address this issue by including a large R-fMRI dataset with 1,434 participants (709 patients with MDD and 725 healthy controls) from five centers in China. Individual functional activity maps that represent very local to long-range connections are computed using the amplitude of low-frequency fluctuations, regional homogeneity and distance-related functional connectivity strength. The reproducibility analyses involve different statistical strategies, global signal regression, across-center consistency, clinical variables, and sample size. We observed significant hypoactivity in the orbitofrontal, sensorimotor, and visual cortices and hyperactivity in the frontoparietal cortices in MDD patients compared to the controls. These alterations are not affected by different statistical analysis strategies, global signal regression and medication status and are generally reproducible across centers. However, these between-group differences are partially influenced by the episode status and the age of disease onset in patients, and the brain-clinical variable relationship exhibits poor cross-center reproducibility. Bootstrap analyses reveal that at least 400 subjects in each group are required to replicate significant alterations (an extent threshold of P<.05 and a height threshold of P<.001) at 50% reproducibility. Together, these results highlight reproducible patterns of functional alterations in MDD and relevant influencing factors, which provides crucial guidance for future neuroimaging studies of this disorder.

neuroscience↗