| Autor: |
Anna Dobrut, Jakub Skibiński, Adrian Bekier, Kamil Drożdż, Karolina Rudnicka, Przemysław Płociński, Izabela Siemińska, Monika Brzychczy-Włoch |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-16 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1746-6148 |
| DOI: |
10.1186/s12917-024-04028-5 |
| Popis: |
Abstract Background Bovine mastitis is one of the most widespread diseases affecting cattle, leading to significant losses for the dairy industry. Currently, the so-called gold standard in mastitis diagnosis involves determining the somatic cell count (SCC). Apart from a number of advantages, this method has one serious flaw: It does not identify the etiological factor causing a particular infection, making it impossible to introduce targeted antimicrobial therapy. This can contribute to multidrug-resistance in bacterial species. The diagnostic market lacks a test that has the advantages of SCC and also recognizes the species of pathogen causing the inflammation. Therefore, the aim of our study was to develop a lateral flow immunoassay (LFIA) based on elongation factor Tu for identifying most prevalent Gram-positive cocci responsible for causing mastitis including Streptococcus uberis, Streptococcus agalactiae and Staphylococcus aureus. Results As a result, we showed that the assay for S. uberis detection demonstrated a specificity of 89.02%, a sensitivity of 43.59%, and an accuracy of 80.3%. In turn, the second variant - assay for Gram-positive cocci reached a specificity of 95.59%, a sensitivity of 43.28%, and an accuracy of 78.33%. Conclusions Our study shows that EF-Tu is a promising target for LFIA and we have delivered evidence that further evaluation could improve test parameters and fill the gap in the mastitis diagnostics market. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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