AIMC Topic: Rats

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NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

The Analyst
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi...

CPN2 alleviates cryptorchidism by inhibiting the NF-κB pathway and regulating immune responses.

Autoimmunity
Cryptorchidism, a common male reproductive disorder characterized by undescended testes, is associated with infertility and increased cancer risk. While its etiology remains incompletely understood, accumulating evidence suggests that immune-inflamma...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def...

Untangling the Postmortem Metabolome: A Machine Learning Approach for Accurate PMI Estimation.

Analytical chemistry
Accurate estimation of the postmortem interval (PMI) is crucial for medico-legal investigations, providing critical timelines for criminal cases. Current PMI methods, however, often lack precision, limiting their forensic utility. In this study, we d...

Deep Learning-Based Multimodal Fusion Approach for Predicting Acute Dermal Toxicity.

Journal of chemical information and modeling
Acute dermal toxicity testing is essential for assessing the safety of chemicals used in pharmaceuticals, pesticides, cosmetics, and industrial chemicals. Conventional toxicity testing methods rely significantly on animal tests, which are resource-in...

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

PloS one
Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, sensory, and autonomic functions, leading to significant challenges in patient quality of life and imposing substantial economic burdens on society. PANopt...

Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.

Nature communications
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an Image...

TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway.

Scientific reports
Intervertebral disc degeneration (IDD), a prevalent spinal condition linked to low back pain, has substantial genetic components, necessitating deeper understanding of its mechanisms. This study categorized nucleus pulposus cell (NPC) populations and...

Prediction of Internal Exposures after Virtual Oral Doses of Disparate Chemicals in Rats and Humans Using Simplified Physiologically Based Pharmacokinetic Models with Generated Input Parameters.

Chemical research in toxicology
Toxicological evaluation of industrial chemicals with a broad range of chemical structures, for example, bioactive food components, toxic food-derived compounds, and drugs, usually involves the estimation of human clearance by allometric extrapolatio...

Assessing changes in whole-brain structural connectivity in the unilateral 6-hydroxydopamine rat model of Parkinson's disease using diffusion imaging and tractography.

Journal of neural engineering
Parkinson's disease (PD) is a multifactorial, progressive neurodegenerative disease that has a profound impact on those it afflicts. Its hallmark pathophysiology is characterized by degeneration of dopaminergic (DA) neurons in the midbrain which trig...