Amyloid‐β peptides generated by proteolysis of the β‐amyloid precursor protein (APP) play an important role in the pathogenesis of Alzheimer's disease. The present study aimed to determine whether cytosolic phospholipase A2α (cPLA2α) plays a role in elevated APP protein expression induced by aggregated amyloid‐β1‐42 (Aβ) in cortical neurons and to elucidate its specific role in signal events leading to APP induction. Elevated cPLA2α and its activity determined by phosphorylation on serine 505 as well as elevated APP protein expression, were detected in primary rat cortical neuronal cultures exposed to Aβ for 24 h and in cortical neuron of human amyloid‐β1‐42 brain infused mice. Prevention of cPLA2α up‐regulation and its activity by oligonucleotide antisense against cPLA2α (AS) prevented the elevation of APP protein in cortical neuronal cultures and in mouse neuronal cortex. To determine the role of cPLA2α in the signals leading to APP induction, increased cPLA2α expression and activity induced by Aβ was prevented by means of AS in neuronal cortical cultures. Under these conditions, the elevated cyclooxygenase‐2 and the production of prostaglandin E2 (PGE2) were prevented. Addition of PGE2 or cyclic AMP analogue (dbcAMP) to neuronal cultures significantly increased the expression of APP protein, while the presence protein kinase A inhibitor (H‐89) attenuated the elevation of APP induced by Aβ. Inhibition of elevated cPLA2α by AS prevented the activation of cAMP response element binding protein (CREB) as detected by its phosphorylated form, its translocation to the nucleus and its DNA binding induced by Aβ which coincided with cPLA2α dependent activation of CREB in the cortex of Aβ brain infused mice. Our results show that accumulation of Aβ induced elevation of APP protein expression mediated by cPLA2α, PGE2 release, and CREB activation via protein kinase A pathway.
A great amount of attention has been paid to the study of the microbiota–gut–brain axis in recent years. Gut microbiota can affect development and functioning of the brain through synthesis of various neuroactive metabolites, such as neurotransmitters, hormones, and other compounds. In the present study, the presence and distribution are analyzed for the genes controlling the synthesis of enzymes involved in production of neuroactive compounds in 147 gut metagenomes of healthy people from Human Microbiome Project database and synthetic metagenome artificially assembled from 508 bacterial genomes. The analysis is conducted using the collected catalog of orthologs for 17 key enzymes and an algorithm developed for their search. As a result of analyses of genomic and metagenomic data of healthy people, seven bacterial genera containing the greatest number of enzyme genes and 8 enzymes out of 17 that are observed the most frequently are chosen. It is assumed that the selected “core” genera and enzymes form a metagenomic signature reflecting the neurometabolic potential of the human intestinal microbiota in the norm. 相似文献