Electroacupuncture Improves Neurobehavioral Function Through Targeting of SOX2-Mediated Axonal Regeneration by MicroRNA-132 After Ischemic Stroke

Our previous studies have shown that electroacupuncture (EA) enhances neurobehavioral functional recovery after ischemic stroke, however, the underlying regulatory mechanisms remain unclear. MicroRNAs (miRNAs) are abundant in the brain and are involved in post-transcriptional gene regulation. During cerebral ischemia reperfusion, miRNAs perform numerous biological functions in the central nervous system related to regeneration and repair of damaged nerves. Our previous studies also have shown that the expression of miRNA-132 (miR-132) is obviously down-regulated after stroke by middle cerebral artery occlusion (MCAO), which can be up-regulated by EA. This study aimed to identify whether up-regulation of miR-132 by EA improved the damaged nerves after stroke and to screen the potential target of miR-132. The results showed that EA up-regulated miR-132 thus suppressing SOX2 expression in vivo after MCAO, which obviously ameliorated neurobehavioral functional recovery. Moreover, our results also suggested that up-regulated miR-132 suppressed SOX2 in primary neurons after oxygen-glucose deprivation (OGD), which promoted neurite outgrowth. In conclusion, EA enhances neurobehavioral functional recovery against ischemic stroke through targeting of SOX2-mediated axonal regeneration by miR-132

Genomics in Neurological Disorders

Neurological disorders comprise a variety of complex diseases in the central nervous system, which can be roughly classified as neurodegenerative diseases and psychiatric disorders. The basic and translational research of neurological disorders has been hindered by the difficulty in accessing the pathological center (i.e., the brain) in live patients. The rapid advancement of sequencing and array technologies has made it possible to investigate the disease mechanism and biomarkers from a systems perspective. In this review, recent progresses in the discovery of novel risk genes, treatment targets and peripheral biomarkers employing genomic technologies will be discussed. Our major focus will be on two of the most heavily investigated neurological disorders, namely Alzheimer’s disease and autism spectrum disorder

Numerical Simulation of Mutually Embedded Settlement in Miscellaneous Fill

Embedding soft soil particles with high moisture content into miscellaneous fill with large pores under overlying loads is easy. It produces mutually embedded settlement, which is an important component of total foundation settlement during calculation. In this study, influences of interface friction on mutually embedded settlement, particle displacement, pore and contact characteristics, and mutually embedded development laws were analysed by using the particle flow method. Research results demonstrate that mutually embedded settlement decreases first and then stabilizes with the increase in contact friction factor and continuously attenuates with normal stiffness. Under the loads, particles at the contact surface move downward and squeeze surrounding particles laterally, thus causing particles to slide at the miscellaneous fill channel upward. Consequently, porosity of particles in miscellaneous fill channel increases. The force chain at the contact surface inclines around, while that at the miscellaneous fill channel presents approximately horizontal distribution. Compared with 35 and 45 mm particles, the mutually embedded settlement of 15 and 25 mm particles is slightly increased with loads. Particle size can relieve the influences of loads on mutual embedding. When particle size is larger than 25 mm, loads can significantly influence mutual embedding. Research conclusions can provide a reasonable theoretical foundation for calculating or predicting settlement of miscellaneous fill-soft soil composite foundation

Towards Personalized Intervention for Alzheimer’s Disease

AbstractAlzheimer’s disease (AD) remains to be a grand challenge for the international community despite over a century of exploration. A key factor likely accounting for such a situation is the vast heterogeneity in the disease etiology, which involves very complex and divergent pathways. Therefore, intervention strategies shall be tailored for subgroups of AD patients. Both demographic and in-depth information is needed for patient stratification. The demographic information includes primarily APOE genotype, age, gender, education, environmental exposure, life style, and medical history, whereas in-depth information stems from genome sequencing, brain imaging, peripheral biomarkers, and even functional assays on neurons derived from patient-specific induced pluripotent cells (iPSCs). Comprehensive information collection, better understanding of the disease mechanisms, and diversified strategies of drug development would help with more effective intervention in the foreseeable future

Difference in Intestinal Flora and Characteristics of Plasma Metabonomics in Pneumoconiosis Patients

From the two perspectives of intestinal flora and plasma metabolomics, the mechanism of occurrence and development of pneumoconiosis was explored to provide a new target for the prevention and treatment of pneumoconiosis. In this study, 16S ribosome DNA (16SrDNA) gene sequencing technology was used to analyze the differences in intestinal flora of each research group through operational taxonomic units (OUT) analysis, cluster analysis, principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and other analytical methods were used to analyze the differences in plasma metabolites between the study groups. Metabonomics analysis showed that the plasma metabolites of pneumoconiosis patients were significantly different from those of normal people. Fold change > 2; vip > 1; p p > 0.05). Beta diversity analysis showed that there were differences in microbial communities. In pneumoconiosis patients, the abundance of Prevotellaceae increased, and the other nine species decreased. Compared to the control group, the abundance of Prevotellaceae in the intestinal flora of pneumoconiosis increased, and the abundance of the other nine species decreased. Compared to controls, ten substances in the plasma metabolites of pneumoconiosis patients were upregulated. Seven metabolic pathways were obtained by analyzing the metabolic pathways of different metabolites. Among them, the aminoacyl tRNA biosynthesis pathway changed most significantly. This provided a theoretical basis for further study on the pathogenesis, early prevention, and treatment of pneumoconiosis