A Metabolic Plasticity-Based Signature for Molecular Classification and Prognosis of Lower-Grade Glioma.

BACKGROUND: Glioma is one of the major health problems worldwide. Biomarkers for predicting the prognosis of Glioma are still needed. METHODS: The transcriptome data and clinic information on Glioma were obtained from the CGGA, TCGA, GDC, and GEO databases. The immune infiltration status in the clusters was compared. The genes with differential expression were identified, and a prognostic model was developed. Several assays were used to detect RPH3A's role in Glioma cells, including CCK-8, colony formation, wound healing, and transwell migration assay. RESULTS: Lower Grade Glioma (LGG) was divided into two clusters. The immune infiltration difference was observed between the two clusters. We screened for genes that differed between the two groups. WGCNA was used to construct a co-expressed network using the DEGs, and four co-expressed modules were identified, which are blue, green, grey, and yellow modules. High-risk patients have a lower overall survival rate than low-risk patients. In addition, the risk score is associated with histological subtypes. Finally, the role of RPH3A was detected. The overexpression of RPH3A in LGG cells can significantly inhibit cell proliferation and migration and regulate EMT-regulated proteins. CONCLUSION: Our study developed a metabolic-related model for the prognosis of Glioma cells. RPH3A is a potential therapeutic target for Glioma.

Effects of GABAB receptors in the insula on recognition memory observed with intellicage.

BACKGROUND: Insular function has gradually become a topic of intense study in cognitive research. Recognition memory is a commonly studied type of memory in memory research. GABABR has been shown to be closely related to memory formation. In the present study, we used intellicage, which is a new intelligent behavioural test system, and a bilateral drug microinjection technique to inject into the bilateral insula, to examine the relationship between GABABR and recognition memory. METHODS: Male Sprague-Dawley rats were randomly divided into control, Sham, Nacl, baclofen and CGP35348 groups. Different testing procedures were employed using intellicage to detect changes in rat recognition memory. The expression of GABABR (GB1, GB2) in the insula of rats was determined by immunofluorescence and western blotting at the protein level. In addition, the expression of GABABR (GB1, GB2) was detected by RT-PCR at the mRNA level. RESULTS: The results of the intellicage test showed that recognition memory was impaired in terms of position learning, punitive learning and punitive reversal learning by using baclofen and CGP35348. In position reversal learning, no significant differences were found in terms of cognitive memory ability between the control groups and the CGP and baclofen groups. Immunofluorescence data showed GABABR (GB1, GB2) expression in the insula, while data from RT-PCR and western blot analysis demonstrated that the relative expression of GB1 and GB2 was significantly increased in the baclofen group compared with the control groups. In the CGP35348 group, the expression of GB1 and GB2 was significantly decreased, but there was no significant difference in GB1 or GB2 expression in the control groups. CONCLUSIONS: GABABR expression in the insula plays an important role in the formation of recognition memory in rats.

Dissection of functional lncRNAs in Alzheimer's disease by construction and analysis of lncRNA-mRNA networks based on competitive endogenous RNAs.

Alzheimer's disease (AD) is a neurodegenerative disorder that is the most common cause of dementia in the elderly, and intracellular neurofibrillary tangles (NFTs) are one of the pathological features of AD. Recent studies have suggested long noncoding RNAs (lncRNAs) play important roles in AD. Competing endogenous RNAs (ceRNAs) is a mechanism that has recently been proposed, in which lncRNAs compete for common miRNA-binding sites with mRNAs. However, the roles of lncRNAs and ceRNA in AD NFTs is limited. In this study, we constructed a global triple network based on ceRNA theory, then an AD NFT lncRNA-mRNA network (NFTLMN) was generated. By analyzing the NFTLMN, three lncRNAs (AP000265.1, KB-1460A1.5 and RP11-145M9.4), which are highly related with AD NFTs were identified. To further explore the cross-talk between mRNAs and lncRNAs, a clustering module analysis was performed on the NFTLMN and two AD NFT related modules were identified. Our study provides a better understanding of the molecular basis of AD NFTs and may offer novel treatment strategies for AD.

Perihematomal pathological changes in neurons and astrocytes following acute cerebral hemorrhage.

We aim to investigate the pathological temporospatial characteristics of brain cell injury in the perihematomal areas. Brain autopsy samples from 44 consecutive cases of intracerebral hemorrhage were processed and analyzed following immunohistochemical staining for neurofilament (NF) and glial fibrillary acidic protein (GFAP). NF and GFAP positive cells were scored and graded according to the distance from the hematoma and the time from the onset of hematoma formation. The tissues from the same region on the contralateral side of the brain were used as controls. Neurons in the perihematomal areas exhibited pyknosis or swollen necrosis, while astrocytes were swollen. Morphological abnormalities pertaining to NF appearance were attenuated with increasing distance from the hematoma wall, but were exacerbated with prolonged bleeding time. The level of NF staining abnormality was positively correlated with time from the onset of hematoma within 7 days of intracerebral hemorrhage. In contrast, the intensity of GFAP staining was negatively correlated with time from the onset of hematoma formation. This immunoreactivity was significantly higher closer to hematoma. Taken together, these data indicate that pathological alterations in neurons and astrocytes in the perihematomal area change with time from the onset of hematoma formation.