Abstract
Background Early diagnosis of neosporosis in dogs is challenging.
Objectives To evaluate the feasibility of a compound multimodal testing approach for diagnosing in dogs neuromuscular and combined forms of neosporosis.
Animals A total of 16 dogs diagnosed with solely neuromuscular neosporosis or with a combination of neuromuscular and central nervous system neosporosis.
Methods Retrospective review of clinical signs, laboratory findings, treatment, and outcome with focus on the diagnostic utility of different tests. Development of a chromogenic in situ hybridization (ISH) assay for the identification of Neospora caninum in paraffin-embedded muscle samples.
Results 13/16 dogs had only neuromuscular signs of neosporosis, 3/16 had disease signs with concomitant central nervous system (CNS) involvement. Serology was performed in 15/16, with 10/15 showing titers >1 : 160 at admission. PCR on muscle samples detected N. caninum DNA in 11/16. Immunohistochemistry (IHC) detected N. caninum in 9/16 and ISH in 9/16. Histopathology revealed inflammatory myopathy in 10/16, necrotizing myopathy in 5/16, borderline changes in 1/16 and tachyzoites in 9/16. In 4 cases, N. caninum infection was confirmed with all 5 diagnostic methods, 3 cases with 4, 2 with 3, 6 with 2, and 1 animal with 1.
Conclusions and Clinical Importance Diagnosis of N. caninum infection should rely on a multimodal diagnostic approach and negativity of 1 single test should not allow for exclusion. Serology in combination with direct parasite identification via histopathology, DNA via PCR, or both modalities, appears a reliable diagnostic approach.
| Item Type: | Journal article |
|---|---|
| Form of publication: | Publisher's Version |
| Faculties: | Veterinary Medicine > Centre for Clinical Veterinary Medicine > Institut für Tierpathologie |
| Subjects: | 600 Technology > 610 Medicine and health |
| URN: | urn:nbn:de:bvb:19-epub-133862-1 |
| ISSN: | 0891-6640 |
| Language: | English |
| Item ID: | 133862 |
| Date Deposited: | 30. Mar 2026 13:40 |
| Last Modified: | 30. Mar 2026 13:40 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892 |
