ABSTRACT
Short-term (26 weeks) Tg.rasH2 mouse carcinogenicity studies have been conducted as an alternative model to the conventional 2-year mouse carcinogenicity studies, using urethane as a positive control material. In these studies, urethane was used at a dose of 1,000 mg/kg/dose, administered intraperitoneally on days 1, 3, and 5. Urethane consistently produces lung adenomas and carcinomas and hemangiosarcomas of the spleen, proving validity of the assay. We conducted 3 pilot studies at 3 different sites of Charles River Laboratories using a lower dose of urethane (500 mg/kg/dose), administered on days 1, 3, and 5, followed by a 12-week observation period. Our results demonstrate that a lower dose can be used successfully with fewer number of animals per sex to prove the validity of the assay. However, based on our cumulative experience with this model, we propose to eliminate positive control dose groups in future Tg.rasH2 carcinogenicity studies.
Subject(s)
Animal Experimentation , Carcinogenicity Tests/methods , Carcinogens/toxicity , Lung Neoplasms/chemically induced , Splenic Neoplasms/chemically induced , Urethane/toxicity , Animals , Female , Lung Neoplasms/physiopathology , Male , Mice , Mice, Transgenic , Splenic Neoplasms/physiopathologyABSTRACT
In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen such as urethane or N-nitroso-N-methylurea to test study validity based on the presence of the expected proliferative lesions in the transgenic mice. We hypothesized that artificial intelligence-based deep learning (DL) could provide decision support for the toxicologic pathologist by screening for the proliferative changes, verifying the expected pattern for the positive control groups. Whole slide images (WSIs) of the lungs, thymus, and stomach from positive control groups were used for supervised training of a convolutional neural network (CNN). A single pathologist annotated WSIs of normal and abnormal tissue regions for training the CNN-based supervised classifier using INHAND criteria. The algorithm was evaluated using a subset of tissue regions that were not used for training and then additional tissues were evaluated blindly by 2 independent pathologists. A binary output (proliferative classes present or not) from the pathologists was compared to that of the CNN classifier. The CNN model grouped proliferative lesion positive and negative animals at high concordance with the pathologists. This process simulated a workflow for review of these studies, whereby a DL algorithm could provide decision support for the pathologists in a nonclinical study.
Subject(s)
Deep Learning , Urethane , Algorithms , Animals , Artificial Intelligence , Carcinogens/toxicity , Methylurea Compounds , Mice , Mice, Transgenic , Urethane/toxicityABSTRACT
In large-scale disasters, it is not always possible to identify every potential toxic agent to which SAR dogs may be exposed. However, an understanding of the basic means by which dogs may be exposed to toxic agents can aid veterinarians in determining basic risks for particular SAR sites and allow veterinarians to institute general preventive measures (eg, frequent eye washes) to minimize exposure. Discussions with public health and other authorities on-site may aid in identifying site-specific risks for SAR dogs. Finally, ensuring that SAR dog handlers are aware of basic risks, precautions, and decontamination measures is essential, as handlers are the first line of defense in preventing illness or injury to SAR dogs as they work a disaster area.
Subject(s)
Disasters , Dogs , Environmental Exposure/adverse effects , Hazardous Substances/toxicity , Rescue Work , Animal Welfare , Animals , Disaster Planning , Dog Diseases/chemically induced , Dog Diseases/prevention & control , Respiratory System/drug effects , Risk Factors , United StatesSubject(s)
Animal Welfare , Disasters , Dog Diseases/chemically induced , Hazardous Substances/toxicity , Rescue Work , Animals , Asbestos/toxicity , Disaster Planning , Dog Diseases/prevention & control , Dogs , Gases/toxicity , Hydrocarbons/toxicity , Metals/toxicity , Polychlorinated Biphenyls/toxicity , United StatesABSTRACT
Many medications are available today by prescription or in over-the-counter preparations. This article reviews the pharmacokinetics, mechanism of action, toxicity, clinical signs, and management procedures necessary for some oral medications. The medications reviewed include selective serotonin reuptake inhibitors, benzodiazepines, amphetamines or amphetamine like drugs, carprofen, cyclooxygenase-2 inhibitors, pseudoephedrine, calcium channel blockers, and baclofen.
Subject(s)
Drug-Related Side Effects and Adverse Reactions/veterinary , Administration, Oral , Animals , Anti-Inflammatory Agents, Non-Steroidal/toxicity , Benzodiazepines/toxicity , Calcium Channel Blockers/toxicity , Drug-Related Side Effects and Adverse Reactions/etiology , Drug-Related Side Effects and Adverse Reactions/therapy , Neuromuscular Agents/toxicity , Nonprescription Drugs/toxicity , Selective Estrogen Receptor Modulators/toxicityABSTRACT
Zolpidem is a nonbenzodiazepine hypnotic of the imidazopyridine class that is used to treat insomnia in humans. Zolpidem binds selectively to the benzodiazepine omega-1 receptor and increases the frequency of chloride channel opening, which results in inhibition of neuronal excitation. A retrospective study was conducted of zolpidem ingestion in dogs that were reported to the ASPCA Animal Poison Control Center (APCC) between January 1998 and July 2000. Data analysis included amount ingested, clinical effects, and time of onset of signs. Thirty-three reports of zolpidem ingestion in dogs (ranging in age from 5 months to 16 years) were evaluated. Approximate ingested dosages ranged from 0.24 to 21 mg/kg. Clinical signs reported included ataxia (18 dogs; 54.5%), hyperactivity (10 dogs; 30.3%), vomiting (7 dogs; 21.2%), and lethargy (5 dogs; 15.2%), as well as panting, disorientation, nonspecific behavior disorder, and hypersalivation (4 dogs each sign; 12.1%). Other signs reported include tachycardia, tremors, apprehension, vocalization, hypersalivation, weakness, and hyperesthesia. In 85% percent of reports, clinical signs developed within 1 hour and usually resolved within 12 hours. Although central nervous system (CNS) depression is reported as a primary effect of zolpidem in humans and would also be expected in dogs, information obtained from this study indicates that some dogs may exhibit a paradoxical excitation reaction. This effect appears to vary among individual dogs.