Dunbar, D. et al. (2018) Diagnosis of non-effusive feline infectious peritonitis by reverse transcriptase quantitative PCR from mesenteric lymph node fine-needle aspirates. Abstract 1 Objectives: The aim of this study was to evaluate a feline coronavirus (FCoV) 2 reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) on fine-3 needle aspirates (FNA) from mesenteric lymph nodes (MLN) collected in sterile 4 saline for the purpose of diagnosing non-effusive feline infectious peritonitis (FIP) in 5 cats. 6 Methods: First, the ability of the assay to detect viral RNA in MLN FNA 7 preparations compared to MLN biopsy preparations was assessed in matched samples 8 from eight cats. Secondly, a panel of MLN FNA samples was collected from a series 9 of cats representing non-effusive FIP cases (n = 20), FCoV seropositive individuals 10 (n = 8) and FCoV seronegative individuals (n = 18). Disease status of animals was 11 determined using a combination of gross pathology, histopathology and/or 'FIP 12 profile' consisting of serology, clinical pathology and clinical signs. 13 Results: Viral RNA was detected in 18 of 20 non-effusive FIP cases; it was not 14 detected in two cases that presented with neurological FIP. Samples from 18 15 seronegative non-FIP control cats and seven of eight samples from seropositive non-16 FIP control cats contained no detectable viral RNA. Thus, as a method for diagnosing 17 non-effusive FIP, MLN FNA RT-qPCR had an overall sensitivity of 90.0 % and 18 specificity of 96.1 %. 19 Conclusions and relevance: In cases with a high index of suspicion of disease, RT-20 qPCR targeting FCoV in MLN FNA can provide important information to support the 21 ante-mortem diagnosis of non-effusive FIP. Importantly, viral RNA can be reliably 22 detected in MLN FNA samples in saline submitted via the national mail service. 23 When applied in combination with biochemistry, haematology and serological tests in 24 4 cases with a high index of suspicion of disease, the results of this assay may be used 25 to support a diagnosis of non-effusive FIP. 26 27 11 . However, as a minimally invasive sampling technique has not been described for 47 peritonitis. BMC Vet Res 2017; 13: 228. 426 8. Egberink HF, Herrewegh APM, Schuurman NMP, et al. FIP, easy to 427 diagnose? Vet Quarterly 1995; 17: 24-25. 428 9. Doenges SJ, Weber K, Dorsch R, et al. Comparison of real-time reverse 429 transcriptase polymerase chain reaction of peripheral blood mononuclear cells, serum 430 and cell-free body cavity effusion for the diagnosis of feline infectious peritonitis. J
Background: As one of the most densely populated microbial communities on Earth, the gut microbiota serves as an important reservoir of antibiotic resistance genes (ARGs), referred to as the gut resistome. Here, we investigated the association of dietary nutritional content with gut ARG diversity and composition, using publicly available shotgun metagenomic sequence data generated from canine and feline fecal samples. Also, based on network theory, we explored ARG-sharing patterns between gut bacterial genera by identifying the linkage structure between metagenomic assemblies and their functional genes obtained from the same data. Results: In both canine and feline gut microbiota, an increase in protein and a reduction in carbohydrate in the diet were associated with increased ARG diversity. ARG diversity of the canine gut microbiota also increased, but less strongly, after a reduction in protein and an increase in carbohydrate in the diet. The association between ARG and taxonomic composition suggests that diet-induced changes in the gut microbiota may be responsible for changes in ARG composition, supporting the links between protein metabolism and antibiotic resistance in gut microbes. In the analysis of the ARG-sharing patterns, 22 ARGs were shared among 46 genera in the canine gut microbiota, and 11 ARGs among 28 genera in the feline gut microbiota. Of these ARGs, the tetracycline resistance gene tet(W) was shared among the largest number of genera, predominantly among Firmicutes genera. Bifidobacterium, a genus extensively used in the fermentation of dairy products and as probiotics, shared tet(W) with a wide variety of other genera. Finally, genera from the same phylum were more likely to share ARGs than with those from different phyla. Conclusions: Our findings show that dietary nutritional content, especially protein content, is associated with the gut resistome and suggest future research to explore the impact of dietary intervention on the development of antibiotic resistance in clinically-relevant gut microbes. Our network analysis also reveals that the genetic composition of bacteria acts as an important barrier to the horizontal transfer of ARGs. By capturing the underlying gene-sharing relationships between different bacterial taxa from metagenomes, our network approach improves our understanding of horizontal gene transfer dynamics.
<strong>PICO question</strong><br /><p>In cats with feline acne and secondary bacterial folliculitis or furunculosis, is topical or systemic antimicrobial therapy superior for reducing time to resolution and severity of clinical signs?</p><strong>Clinical bottom line</strong><br /><p>There is no sufficient evidence to compare topical versus systemic treatment in feline acne with secondary folliculitis/furunculosis.</p><br /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/oa-icon.jpg" alt="Open Access" /> <img src="https://www.veterinaryevidence.org/rcvskmod/icons/pr-icon.jpg" alt="Peer Reviewed" />
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.