The effect of silver nanoparticles on learning and memory in rodents: "a systematic review".

BACKGROUND: Silver nanoparticles (AgNPs) are widely used in medicine owing to their antiseptic activity and inducing cell death. Despite AgNPs' importance in nano-engineering and medical benefits, animal studies have shown silver toxicity can damage multiple organs such as the lungs, liver, kidneys, intestines, and brain. Several investigations revealed the correlation between Ag administration by different methods with impaired cognitive and behavioral abilities. Therefore, this systematic review aimed to conclude on the existing evidence of impairments in learning and memory that were changed in rodents exposed to AgNPs. METHODS: Main searches were retrieved in Google Scholar, Scopus, Web of Science, and PubMed databases from 1979 to 2022. Eligibility Criteria were applied to select and extract 15 articles among 892. RESULTS: Learning and memory abilities of rats and mice in screened studies were evaluated with MWM, NORT, PAL, T-maze, Y-maze, contextual fear conditioning, Radial Arm Maze and Carousel Maze test. Data have shown various sizes from 10 to 100 nm could affect the results of tests among animals exposed to AgNPs compared with control animals. However, in some treatments, results achieved from tests have not demonstrated significant differences between control and treated groups. CONCLUSION: Studies have revealed that treatment with Ag-NPs of different sizes can impair learning and memory skills in rats and mice.

Application of hyperbolic geometry of multiplex networks under layer link-based attacks.

At present, network science can be considered one of the prosperous scientific fields. The multi-layered network approach is a recent development in this area and focuses on identifying the interactions of several interconnected networks. In this paper, we propose a new method for predicting redundant links for multiplex networks using the similarity criterion based on the hyperbolic distance of the node pairs. We retrieve lost links found on various attack strategies in multiplex networks by predicting redundant links in these networks using the proffered method. We applied the recommended algorithm to real-world multiplex networks, and the numerical simulations show its superiority over other advanced algorithms. During the studies and numerical simulations, the power of the hyperbolic geometry criterion over different standard and current methods based on link prediction used for network retrieval is evident, especially in the case of attacks based on the edge betweenness and random strategies illustrated in the results.

Effects of intraperitoneal and intracerebroventricular injection of cinnamaldehyde and yohimbine on blood glucose and serum insulin concentrations in ketamine-xylazine induced acute hyperglycemia.

This study was designed to investigate the effects of peripheral [intraperitoneal (IP)] and central [intracerebroventricular (ICV)] administration of cinnamaldehyde on concentrations of blood glucose and serum insulin in the acute hyperglycemia induced by ketamine/xylazine. Yohimbine (a α2-adrenoceptor antagonist) was used alone and in combination with cinnamaldehyde to explore the α2-adrenergic receptor contribution. A total of 48 rats were divided into eight groups with six rats in each for IP administration of normal saline, vehicle, cinnamaldehyde (25.00, 50.00 and 100 mg kg-1), yohimbine (0.50 and 2.00 mg kg-1) and cinnamaldehyde plus yohimbine. These rats were used again for ICV administration 15 days after the completion of IP experiment. During this 15 days period, the lateral ventricle of the brain was surgically cannulated for ICV administration of normal saline, vehicle, cinna-maldehyde (25.00, 50.00 and 100 µg per rat), yohimbine (5.00 and 20.00 µg per rat) and cinnamaldehyde plus yohimbine. Blood glucose levels were measured from tail blood using a glucometer and serum insulin concentrations were determined via enzyme-linked immune-sorbent assay kit. The increased levels of blood glucose and the decreased concentrations of serum insulin were significantly decreased and increased, respectively, by separate and combined IP and ICV administrations of cinnamaldehyde and yohimbine. The systemic effects of these chemical compounds were significantly greater than the central ones. Based on the results, it can be argued that cinnamaldehyde has a potential to induce anti-hyperglycemic and antihypoinsulinemic effects. Peripheral and central α2-adrenegic receptors might be involved in these effects of cinnamaldehyde.

Detecting chaotic behaviors in dynamic complex social networks using a feature diffusion-aware model.

This paper contributes in detecting chaotic behaviors in dynamic complex social networks using a new feature diffusion-aware model from two perspectives of abnormal links as well as abnormal nodes. The proposed approach constructs a probabilistic model of dynamic complex social networks and subsequently, applies it to detect chaotic behaviors by measuring deviations from the model. The predictive model considers the main processes of features' dynamics, evolution of nodes' features, feature diffusion, and link generation processes in dynamic complex social networks. The feature diffusion process indicates the process in which each node former features influence the future features of its neighbors. The proposed approach is validated by experiments on two real dynamic complex social network datasets of Google+ and Twitter. The approach uses some Markov Chain Monte Carlo sampling methods like Metropolis-Hastings algorithm and Slice sampling strategy to extract the model parameters, given these real datasets. Experimental results indicate the improved performance characteristics of the proposed approach in comparison with baseline approaches in terms of the performance measures of accuracy, F1-score, Matthews Correlation Coefficient, recall, precision, area under ROC curve, and log-likelihood.

The role of histamine H1, H2 and H3 receptors of ventral posteromedial nucleus of thalamus in modulation of trigeminal pain.

Histamine receptors are involved in supraspinal modulation of pain. In the present study, we investigated the effects of microinjection of histamine H1, H2 and H3 receptor antagonists and agonists into the ventral posteromedial (VPM) nucleus of the thalamus on two models of trigeminal pain. Right and left sides of VPM were implanted with two guide cannulas. Corneal pain was induced by local corneal surface application of hypertonic saline and the number of eye wipes was recorded. The duration of face rubbing, as an orofacial pain measure, was recorded after subcutaneous (s.c.) injection of capsaicin into the vibrissa pad. 2-pyridylethylamine (2-PEA, a histamine H1 receptor agonist, 4µg/site) and dimaprit (a histamine H2 receptor agonist, 1 and 4µg/site) suppressed corneal and orofacial pains. Mepyramine (a histamine H1 receptor antagonist) and ranitidine (a histamine H2 receptor antagonist) at the similar doses of 0.5, 2 and 8µg/site alone had no effects on trigeminal pain. Prior microinjection of mepyramine and ranitidine at a similar dose of 8µg/site inhibited the antinociceptive effects of 2-PEA (4µg/site) and dimaprit (4µg/site), respectively. Immepip (a histamine H3 receptor agonist, 1 and 4µg/site) increased, and thioperamide (a histamine H3 receptor antagonist, 2 and 8µg/site) attenuated nociceptive responses. Prior microinjection of thioperamide (8µg/site) prevented immepip (4µg/site)-induced nociception. These chemicals did not change locomotor behavior. It is concluded that post-synaptic histamine H2, and to a lesser extent H1, receptors and pre-synaptic histamine H3 receptor may be involved in VPM modulation of trigeminal pain.

Evolution of transcription networks in response to temporal fluctuations.

Organisms respond to changes in their environment over a wide range of biological and temporal scales. Such phenotypic plasticity can involve developmental, behavioral, physiological, and genetic shifts. The adaptive value of a plastic response is known to depend on the nature of the information that is available to the organism as well as the direct and indirect costs of the plastic response. We modeled the dynamic process of simple gene regulatory networks as they responded to temporal fluctuations in environmental conditions. We simulated the evolution of networks to determine when genes that function solely as transcription factors, with no direct function of their own, are beneficial to the function of the network. When there is perfect information about the environment and there is no timing information to be extracted then there is no advantage to adding pure transcription factor genes to the network. In contrast, when there is either timing information that can be extracted or only indirect information about the current state of the environment then additional transcription factor genes improve the evolved network fitness.