| Literature DB >> 33921104 |
Eliana De Luca1, Giuseppe Andrea Sautto2, Paolo Emidio Crisi3, Alessio Lorusso1.
Abstract
Feline morbillivirus (FeMV) was identified for the first time in stray cats in 2012 in Hong Kong and, since its discovery, it was reported in domestic cats worldwide. Although a potential association between FeMV infection and tubulointerstitial nephritis (TIN) has been suggested, this has not been proven, and the subject remains controversial. TIN is the most frequent histopathological finding in the context of feline chronic kidney disease (CKD), which is one of the major clinical pathologies in feline medicine. FeMV research has mainly focused on defining the epidemiology, the role of FeMV in the development of CKD, and its in vitro tropism, but the pathogenicity of FeMV is still not clear, partly due to its distinctive biological characteristics, as well as to a lack of a cell culture system for its rapid isolation. In this review, we summarize the current knowledge of FeMV infection, including genetic diversity of FeMV strains, epidemiology, pathogenicity, and clinicopathological findings observed in naturally infected cats.Entities:
Keywords: diagnosis; epidemiology; feline morbillivirus; genetic heterogeneity; kidney disease; tropism
Year: 2021 PMID: 33921104 PMCID: PMC8071394 DOI: 10.3390/v13040683
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Phylogenetic analysis based on publicly available feline morbillivirus (FeMV) full-genome sequences. The tree with the highest log likelihood (−73307.55) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. The evolutionary history was inferred by using the Maximum Likelihood method and General Time Reversible model [43]. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (five categories (+G, parameter = 0.5429)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 30.85% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 29 nucleotide sequences. There was a total of 16,001 positions in the final dataset. Evolutionary analyses were conducted using MEGA X [44]. Legend: blue, FeMVs identified in Asia; green, FeMVs identified in Europe; red, FeMVs identified in America.
Reported FeMV molecular prevalence of cats in relation to population sampled, type of sample, and geography.
| Reference | Population | Total | Sample | FeMV RNA-Positive Tissues | Prevalence per Type of Sample | Prevalence c | Country |
|---|---|---|---|---|---|---|---|
|
| Stray cats | 457 | Urine | 11.6% | 12.3% | Hong Kong | |
| Blood | 0.2% | ||||||
| Feces | 0.8% | ||||||
| 16 | Oral swab | 6.2% | 6.2% | Mainland China | |||
| Rectal swab | 6.2% | ||||||
|
| Household cats | 82 | Urine | 6.1% | 9.8% | Japan | |
| 10 | Blood | 10% | |||||
| 10 | Tissues | Kidney | 40% | ||||
|
| Household cats | 13 | Urine | 23% | 23% | Japan | |
|
| Household cats | 166 | Urine | 15.1% | 15.1% | Japan | |
|
| Household cats | 327 | Urine | 3% | 3% | USA | |
|
| Stray/household cats | 100 | Urine | 17% | 22% | Japan | |
| Tissues | Kidney | 18% | |||||
|
| Colony cats a | 17 | Urine | 52.9% | 23% | Brazil | |
| Household cats | 35 | 8.6% | |||||
|
| Household cats | 96 | Urine | 3.1% | 5.4% | Turkey | |
| 15 | Tissues | Kidney | 26% | ||||
| Lymph nodes | 13% | ||||||
| Lung | 6% | ||||||
| Spleen | 6% | ||||||
| Intestine | 6% | ||||||
| Liver | 6% | ||||||
|
| Household cats | 40 | Urine | 12.5% | 12.5% | United Kingdom | |
|
| Stray cats | 6 | Urine | 16.6% | 3.2% | Italy | |
| Household cats | 59 | 0% | |||||
| Stray/household cats | 27 | Tissues | Kidney | 7.4% | |||
|
| Stray/household cats | 124 | Urine | 50.8% | 39.4% | Malaysia | |
| 25 | Tissues | Kidney | 80% | ||||
|
| na | 723 | Urine | 0.8% | 0.83% | Germany | |
|
| Colony cats b | 69 | Urine | 31.8% | 16.8% | Italy | |
| Household cats | 127 | 8.6% | |||||
| Colony cats b | 7 | Tissues | Kidney | 57.1% | 22.8% | ||
| Bladder | 14.2% | ||||||
| Spleen | 28.5% | ||||||
| Lymph nodes | 14.2% | ||||||
| Household cats | 28 | Tissues | Kidney | 10.7% | |||
| Bladder | 10.7% | ||||||
| Spleen | 3.5% | ||||||
| Brain | 3.5% | ||||||
|
| Household cats | 127 | Urine | 3.9% | 7.3% | ||
| Colony cats b | 40 | Tissues | Kidney | 7.5% | |||
| Household cats | 23 | Urine | 26% | 8% | |||
| Colony cats b | 10 | Tissues | Kidney | 10% | |||
|
| n.a. | 64 | Urine | 9.3% | 9.37% | Mainland China | |
|
| Colony cats b | 31 | Urine | 19.3% | 11.9% | Thailand | |
| Household cats | 100 | Urine | 13% | ||||
| Colony cats b | 61 | Blood | 19.6% | ||||
| Household cats | 200 | Blood | 0% | ||||
n.a., information about the origin of the cats was not available; a cats living in a multi-cat house; b stray cats; c cats with positive results in multiple tissues and/or samples were counted once
Reported FeMV seroprevalence of cats in relation to population sampled and geography.
| Reference | Population | Total | Seroprevalence | Country |
|---|---|---|---|---|
|
| Stray cats | 457 | 27.8% | China |
|
| Household cats | 13 | 23% | Japan |
|
| Stray and household cats | 100 | 21% | Japan |
|
| n.a. | 100 | 22% | Japan |
|
| Household cats | 72 | 31% | United Kingdom |
|
| Colony cats a | 69 | 21.73% | Italy |
| Household cats | 127 | 17.32% | ||
|
| Colony cats a | 112 | 63% | Chile |
n.a., information about the origin of the cats was not available; a stray cats.