AIMC Topic: Rats

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Improving Imaging Field of View of 3-D Transcranial Rat Brain Super-Resolution With Robotic Registered Compounding and Nonrigid Deformation Correction.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Large field-of-view (FOV) brain imaging with ultrasound has become increasingly achievable with the application of 2-D probes capable of volumetric imaging. However, even in small animals the skull presents a significant barrier and conventional plan...

Mesenchymal stem cell transplantation ameliorates inflammation in spinal cord injury by inhibiting lactylation-related genes.

Cytokine
BACKGROUND: The immune microenvironment significantly influences neural regeneration in spinal cord injury (SCI). Lactate activates central nervous system (CNS) glial cells, prompting the secretion of proinflammatory cytokines and triggering an infla...

A Novel Diffusion Irradiation Method to Monitor Thermal Effects on Deep Subcutaneous Vessels Using Laser Speckle Contrast Imaging.

Journal of biophotonics
This study aims to investigate the effects of upper skin layers on laser light propagation and heat diffusion during laser surgery for vascular dermatosis. Using a rat dorsal window chamber model, deep-situated vessels are irradiated by a transcutane...

Using deep-learning based segmentation to enable spatial evaluation of knee osteoarthritis (SEKO) in rodent models.

Osteoarthritis and cartilage
OBJECTIVE: In preclinical models of osteoarthritis (OA), histology is commonly used to evaluate joint remodeling. The current study introduces a deep learning driven histological analysis pipeline for the spatial evaluation of knee osteoarthritis (SE...

Predicting the Brain-To-Plasma Unbound Partition Coefficient of Compounds via Formula-Guided Network.

Journal of chemical information and modeling
Blood-brain barrier (BBB) permeability plays a crucial role in determining drug efficacy in the brain, with the brain-to-plasma unbound partition coefficient () recognized as a key parameter of BBB permeability in drug development. However, data are...

Machine Learning on Toxicogenomic Data Reveals a Strong Association Between the Induction of Drug-Metabolizing Enzymes and Centrilobular Hepatocyte Hypertrophy in Rats.

International journal of molecular sciences
Centrilobular hepatocyte hypertrophy is frequently observed in animal studies for chemical safety assessment. Although its toxicological significance and precise mechanism remain unknown, it is considered an adaptive response resulting from the induc...

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Function (Oxford, England)
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks in the brainstem. The effects of opioids on sensory inputs regulating breathing are less studied. This study examined the effects of fentanyl and sufen...

Virtual white matter: a novel system for cross-dish neural interaction and modulation.

Journal of neural engineering
. Biological neural networks (BNNs) are characterized by complex interregional connectivity, allowing for seamless communication between different brain regions.models traditionally consist of single-dish neural cultures that cannot recapitulate the ...

Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.

Scientific reports
Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results in multiple molecular alterations that are hypothesized to negatively impact neural circuit development although the nature of any functional neural ...

Deep Eutectic Solvent Extraction Assisted Ligand Affinity Assay for α-Glucosidase Inhibitors Screening From the Plasma of Rats Administrated Pueraria lobata Extracts.

Journal of separation science
In this work, for the first time, a deep eutectic solvent assisted ligand affinity assay was proposed. Several critical parameters affecting the analysis performance were investigated and the optimized DES extract conditions were as follows: the solu...