Related Experiment Video
Updated: Jan 29, 2026

Manipulation of Rhythmic Food Intake in Mice Using a Custom-Made Feeding System
Published on: December 16, 2022
Dermatosis Associated with Feeding Low-Quality Food (Generic Food Dermatosis): A Case Series
Alejandro Blanco1, Melisa López1, Laura Kantor2
1Servicio de Dermatología del Hospital Escuela, Facultad de Ciencias Veterinarias, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires C1427CWO, Argentina.
None:
Severe crusting dermatosis affecting the mucocutaneous junctions, pressure points, and trunk of dogs fed low-quality dry food was first reported in the United States in the 1980s. Since then, only a few cases have been documented. Twenty-two adult dogs owned by private individuals were evaluated. All dogs exhibited thick crusts forming plaques and marked scaling on the face-particularly around the lips, nasal bridge, and eyelids-as well as on the paw pads, dorsal digits, abdomen, and dorsum. Pruritus ranged from moderate to severe, and all dogs showed varying degrees of lethargy and reduced activity. Each dog was fed a low-quality commercial diet. A presumptive diagnosis of dermatosis associated with poor-quality food was made. Skin biopsies from nine dogs revealed similar histopathologic changes, characterized by epidermal hyperplasia, severe parakeratotic hyperkeratosis with spongiosis, and exocytosis of lymphocytes and neutrophils. The skin lesions resolved within 15-30 days after switching to a high-quality diet. This case series highlights that dermatosis associated with low-quality food should remain in the differential diagnosis for dogs presenting with symmetric crusted and scaly lesions on the face, mucocutaneous junctions, and paws, particularly when nutritional deficiencies are suspected.
Related Concept Videos
Regulation of Food Intake
Microorganisms in Agriculture and Food industry
Pharmacokinetics: Drug–Food and Drug–Viral Interactions
Resistors In Series
In a series circuit, the...
Series Resonance
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...

