Determination of GABA(Aα1) and GABA (B1) receptor subunits expression in tissues of gilts during the late gestation

Maternal Dietary Supplementation with γ-Aminobutyric Acid Alleviated Oxidative Stress in Gestating Sows and Their Offspring by Regulating GABRP

Sows usually suffer oxidative stress during gestation, and this limits the growth of fetuses via placenta. Gamma-aminobutyric acid (GABA) is a functional nonessential amino acid engaged in regulating the physiological status of animals. However, the effects of GABA on the oxidative homeostasis of sows and their offspring remain unclear. Eighteen late gestating sows (85 d) were divided into the CON and GABA groups and fed the basal diet and the GABA diet (200 mg/kg GABA), respectively, until farrowing. At parturition, the sows’ litter characteristics, the plasma antioxidant parameters of sows, and their offspring were evaluated. The results showed that GABA supplementation had no marked effect on the reproductive performance of sows (p > 0.10) but had a trend of reducing the amount of intrauterine growth restriction (IUGR) in piglets (0.05 < p < 0.10). At the same time, the addition of GABA elevated the plasma superoxide dismutase (SOD) level of sows and enhanced the glutathione peroxidase (GSH-Px) activity of newborn piglets (p < 0.05). Based on the H2O2-induced oxidative stress in pTr-2 cells, GABA elevated intracellular GSH-Px, SOD, catalase (CAT), and total antioxidant capacity (T-AOC, p < 0.01) and upregulated the gene expressions of CAT, gamma-aminobutyric acid receptor (GABRP), and nuclear factor-erythroid 2-related factor-2 (Nrf2) in H2O2-treated pTr-2 cells (p < 0.05). Taken together, GABA improved the antioxidant capacity of sows and alleviated the placental oxidative stress by upregulating the GABRP and Nrf2 genes, which have the potential to promote oxidative homeostasis in newborn piglets.

Protein-protein interaction network analysis and gene set enrichment analysis in epilepsy patients with brain cancer

Many patients with brain cancer experience seizures or epilepsy and tumor-associated epilepsy (TAE) significantly decreases their quality of life. This study aimed to achieve a better understanding of the mechanisms of TAE. The differentially expressed genes (DEG) between epilepsy patients with or without brain tumor were firstly screened using the Linear Models for Microarray Data package using GSE4290 datasets from the USA National Center for Biotechnology Information Gene Expression Omnibus database. Then the protein-protein interaction (PPI) network, using data from the Human Protein Reference Database and the Biological General Repository for Interaction Datasets, was constructed. For further analysis, the PPI network structure and clusters in this PPI network were identified by ClusterOne. Meanwhile, gene set enrichment analysis was performed to illuminate the biological pathways and processes which generally affect patients with TAE. A total of 5113 DEG were identified and a PPI network, which contained 114 DEG and 21 normal genes, was established. Proteins, which mainly belonged to the mini chromosome maintenance and collagen families, were discovered to be enriched in the three identified clusters in the PPI network. Finally, several biological pathways (including cell cycle, DNA replication and transforming growth factor β1 signaling pathways) and processes (such as nucleocytoplasmic transport, nuclear transport and regulation of phosphorylation) were identified. Proteins in these three clusters may become new targets for TAE treatment. Our results provide some potential underlying biomarkers for understanding the pathogenesis of epilepsy in patients with brain tumor.