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How bioresonance, electrophoresis, and PCR diagnose feline infectious

By Farsijani, F et al.·Published in Archives of Razi Institute·2023·Department of Pathobiology·View original on PubMed

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Original publication title: Comparison of the Performance of Bioresonance, Electrophoresis and RT-PCR in the Diagnosis of Feline Infectious Peritonitis.

Species:
cat

Plain-English summary

A group of 30 cats showing signs of illness were tested for feline infectious peritonitis (FIP), a serious viral disease. Researchers compared three diagnostic methods: electrophoresis, polymerase chain reaction (PCR), and a new technique called specific modulation frequency (SMF). The SMF test proved to be very effective, with a 100% accuracy rate, while the other two methods had lower sensitivity. This study suggests that SMF could be a reliable and safe option for diagnosing FIP in cats, which can be difficult to confirm.

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Abstract

Feline infectious peritonitis (FIP) continues to be one of the most researched infectious diseases of cats. The diagnosis of FIP is challenging, and diverse techniques have been developed for its accurate diagnosis. However, they have some limitations. The present study was conducted to investigate the efficacy of specific modulation frequency (SMF), compared to other routine diagnostic methods for detecting. Blood samples were collected from 30 diseased cats suspected of having FIP based on clinical signs. Electrophoresis, polymerase chain reaction (PCR), and SMF tests were performed for each sample. The sensitivity and specificity of each test, as well as the agreement between the tests and the gold standard (the combination of PCR, electrophoresis, and bioresonance results), were calculated using the Kappa coefficient method. The sensitivity and specificity of electrophoresis, PCR, and SMF for the diagnosis of FIP were 70.6%, 70.6%, 100%, and 100%, 72.7%, 81.8%, respectively. According to the findings of the present study, SMF is effective and safe in FIP diagnosis, which is a challenge in veterinary medicine diagnosis.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/38028839/