| Literature DB >> 31258555 |
Shabnam Asfaram1, Mahdi Fakhar2, Saeed Hosseini Teshnizi3.
Abstract
In recent years feline leishmanial infections (FLI) have been studied more than ever before in various parts of the world. However, evidence-based knowledge on FLI has remained unavailable. The main objectives of this study were to investigate the status of felines infected by Leishmania spp. worldwide. Data were extracted from 10 available databases over the period of 1982 to 2017. Overall, 78 articles fulfilled the inclusion criteria and were used for data extraction in this systematic review. The overall FLI prevalence by both serological and molecular methods was estimated at 10% (95% CI: 8%-14%). In Italy, both the seroprevalence (24 %) and PCR prevalence (21 %) were found to be higher than in other countries. The most common diagnostic test used was the indirect fluorescent antibody test (38.5%). Studies on mixed-breed felines were more common than those on other breeds, while the most common parasite species was L. infantum (63%). Our findings suggest that cats act as primary and/or secondary reservoir hosts in the transmission of the Leishmania spp. to humans and also to dogs, by sandflies, at least in endemic foci. Moreover, available data confirm the enzootic stability situation of FLI in several countries including some in Europe.Entities:
Keywords: Diagnostic tests; Feline leishmanial infection; Global prevalence; Meta-analysis; Systematic review
Year: 2019 PMID: 31258555 PMCID: PMC6583674 DOI: 10.1590/1678-9199-JVATITD-2019-0012
Source DB: PubMed Journal: J Venom Anim Toxins Incl Trop Dis ISSN: 1678-9180
Figure 1.PRISMA flowchart showing the study design process.
Baseline characteristics of studies included in the meta-analysis of feline leishmanial infection
| Author | Year of publication | Country | Type of cat | Sample size |
| Lab test | Seropositive (%) | PCR positive (%) |
|---|---|---|---|---|---|---|---|---|
| Michael. SA [ | 1982 | Egypt | stray | 80 |
| IHAT | 3.8 | . |
| Morsy. TA [ | 1988 | Egypt | stray | 28 |
| IHAT | 3.6 | . |
| Bez. M [ | 1992 | France | . | 174 |
| IFAT | 0.6 | . |
| Morsy. TA [ | 1994 | Egypt | mixed | 60 |
| IHAT | 10 | . |
| Sherlock. IA [ | 1996 | Brazil | . | 53 |
| IFAT | 0 | . |
| Pennisi. MG [ | 1998 | Italy | mixed | 93 |
| IFAT | 59.1 | . |
| Ozon. C [ | 1998 | France | stray | 97 |
| WB | 12.4 | . |
| Pennisi. MG [ | 2000 | Italy | mixed | 89 |
| IFAT, PCR | 68.5 | 60.7 |
| Simões-Mattos. L [ | 2001 | Brazil | stray | 84 |
| ELISA | 10.7 | . |
| Poli. A [ | 2002 | Italy | domestic | 110 |
| IFAT | 0.9 | . |
| Portús. M [ | 2002 | Spain | domestic | 117 |
| ELISA | 1.7 | . |
| Zárate-Ramos. JJ [ | 2002 | Spain | domestic | 50 |
| DAT | 42 | . |
| Vita. S [ | 2005 | Italy | mixed | 203 |
| IFAT, PCR | 16.3 | 100 |
| Solano-Gallego. L [ | 2007 | Spain | mixed | 445 |
| ELISA | 6.3 | . |
| Martín-Sánchez. J [ | 2007 | Spain | domestic | 183 |
| IFAT, PCR | 70.5 | 25.7 |
| Nasereddin. A [ | 2008 | Israel | stray | 104 |
| ELISA | 6.7 | . |
| Huebner. J [ | 2008 | Greece | mixed | 389 |
| IFAT | 21.6 | . |
| Tabar. MD [ | 2008 | Spain | domestic | 100 |
| PCR | . | 3 |
| Ayllon. T [ | 2008 | Spain | domestic | 233 |
| IFAT, PCR | 4.29 | 0.4 |
| Maia. C [ | 2008 | Portugal | stray | 23 |
| IFAT, PCR | 17.4 | 30.4 |
| Da Silva. AV [ | 2008 | Brazil | domestic | 8 |
| IFAT | 25 | . |
| Sarkari. B [ | 2009 | Iran | stray | 40 |
| IFAT, DAT | 27.5 | . |
| Diakou. A [ | 2009 | Greece | stray | 284 |
| ELISA | 3.9 | . |
| Figueiredo. FB [ | 2009 | Brazil | . | 43 |
| IFAT, ELISA | 2.4 | . |
| Hatam. GR [ | 2010 | Iran | domestic | 40 |
| PCR | . | 7.5 |
| Veronesi. F [ | 2010 | Italy | mixed | 95 |
| IFAT, PCR | 9.5 | 5.3 |
| Cardoso. L [ | 2010 | Portugal | domestic | 316 |
| ELISA, DAT | 2.8 | . |
| Duarte. A [ | 2010 | Portugal | stray | 180 |
| IFAT | 0.6 | . |
| Maia. C [ | 2010 | Portugal | domestic | 142 |
| IFAT, PCR | 1.3 | 20.4 |
| Costa. TA [ | 2010 | Brazil | . | 200 |
| ELISA | 11.5 | . |
| Dahroug. MA [ | 2010 | Brazil | Puma concolor, Panthera onca, Leopardus pardalis | 16 |
| PCR | . | 37.5 |
| Bresciani. KD [ | 2010 | Brazil | domestic | 283 |
| IFAT | 0 | . |
| Sherry. K [ | 2011 | Spain | mixed | 105 |
| ELISA, PCR | 12.4 | 8.6 |
| Millán. J [ | 2011 | Spain | mixed | 86 |
| WB, PCR | 15.7 | 25.6 |
| Miró. G [ | 2011 | Spain | . | 20 |
| IFAT | 15 | . |
| Vides. JP [ | 2011 | Brazil | . | 55 |
| IFAT, ELISA | 27.3 | . |
| Da Silveira Neto. L [ | 2011 | Brazil | . | 113 |
| ELISA | 34.5 | . |
| Coelho. WM [ | 2011 | Brazil | . | 70 |
| IFAT, ELISA | 4.2 | . |
| Coelho. WM [ | 2011 | Brazil | . | 52 |
| PCR | . | 5.8 |
| Pennisi. MG [ | 2012 | Italy | mixed | 431 |
| IFAT, PCR | 6.9 | 18.3 |
| Ayllon. T [ | 2012 | Spain | mixed | 680 |
| IFAT, PCR | 3.7 | 0.6 |
| Sobrinho. LS [ | 2012 | Brazil | stray | 302 |
| IFAT, ELISA | 15.23 | . |
| Longoni. SS [ | 2012 | Mexico | stray | 95 |
| ELISA, WB | 31.6 | . |
| Spada. E [ | 2013 | Italy | stray | 233 |
| IFAT, PCR | 25.3 | 0 |
| Vilhena. H [ | 2013 | Portugal | domestic | 320 |
| PCR | . | 0.3 |
| Cardia. DF [ | 2013 | Brazil | stray | 386 |
| IFAT | 0.5 | . |
| Silva. RD [ | 2013 | Brazil | . | 153 |
| ELISA | 3.9 | . |
| Chatzis. MK [ | 2014 | Greece | domestic | 100 |
| IFAT, ELISA, PCR | 11 | 41 |
| Silaghi. C [ | 2014 | Albania | stray | 146 |
| IFAT, PCR | 0.7 | 0 |
| Miró. G [ | 2014 | Spain | stray | 346 |
| IFAT, PCR | 3.2 | 0 |
| Maia. C [ | 2014 | Portugal | mixed | 649 |
| PCR | . | 9.9 |
| Maia. C [ | 2014 | Portugal | mixed | 271 |
| DAT | 3.7 | . |
| Nimsuphan. B [ | 2014 | Bangkok | pet | 237 |
| DAT | 0.8 | . |
| Moreno.I [ | 2014 | Spain | stray | 43 |
| IFAT | 9.3 | . |
| Dorbadam. SM [ | 2014 | Iran | stray | 50 |
| DAT | 2 | . |
| Sousa. KC [ | 2014 | Brazil | domestic | 151 |
| IFAT | 6.6 | . |
| Fatollahzadeh. M [ | 2014 | Iran | . | 65 |
| DAT, PCR | 23.0 | 0 |
| Braga. AR [ | 2014 | Brazil | domestic | 50 |
| IFAT | 4 | . |
| Costa. AP [ | 2014 | Brazil | domestic | 52 |
| IFAT | 3.8 | . |
| Braga. AR [ | 2014 | Brazil | . | 100 |
| IFAT, PCR | 15 | 0 |
| Nemati. T [ | 2015 | Iran | . | 65 |
| DAT | 27.7 | . |
| Maia. C [ | 2015 | Portugal | mixed | 271 |
| DAT | 3.7 | . |
| Dincer. E [ | 2015 | Turkey | . | 22 |
| PCR | . | 4.5 |
| Oliveira. TM [ | 2015 | Brazil | . | 52 |
| PCR | . | 13.5 |
| Spada. E [ | 2016 | Italy | stray | 90 |
| IFAT, PCR | 30 | 2.2 |
| Figueiredo. FB [ | 2016 | Brazil | domestic | 34 |
| ELISA | 20.6 | . |
| Persichetti. MF [ | 2016 | Spain | . | 42 |
| IFAT, PCR | 2.4 | 7.1 |
| Can. H [ | 2016 | Turkey | stray | 1101 |
| IFAT, ELISA, PCR | 10.5 | 0.54 |
| Persichetti. MF [ | 2017 | Italy | . | 161 |
| ELISA, IFAT, WB | 29.2 | . |
| Otranto. D [ | 2017 | Italy | . | 330 |
| IFAT, PCR | 25.8 | 3.9 |
| Mylonakis. ME [ | 2017 | Greece | . | 100 |
| PCR | . | 41 |
| Mohebali. M [ | 2017 | Iran | stray | 103 |
| DAT | 24.3 | . |
| Metzdorf. IP [ | 2017 | Brazil | domestic | 100 |
| PCR | . | 6 |
| De Mendonça. IL [ | 2017 | Brazil | domestic | 83 |
| ELISA | 4 | . |
| Lopes. AP [ | 2017 | Portugal | domestic | 102 |
| DAT | 0 | . |
| Poffo. D [ | 2017 | Brazil | domestic | 88 |
| PCR | . | 0 |
| Akhtardanesh. B [ | 2017 | Iran | stray | 60 |
| ELISA, PCR | 6.7 | 16.7 |
| Benassi. JC [ | 2017 | Brazil | mixed | 108 |
| PCR | . | 1.85 |
Subgroup meta-analysis for seroprevalence and PCR prevalence of Leishmania infection in cats
| Characteristics | Factors | Seropositive | PCR positive | ||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Prevalence (%) (95%CI) | I-square (%) | p | n | Prevalence (%) (95%CI) | I-square (%) | P<0.001 | ||
| Country | Iran | 6 | 17.0 (8.0-28.0) | 83.8 | 0.06 | 3 | 6.0 (0.0-21.0) | - | P<0.001 |
| Egypt | 3 | 6.0 (2.0-10.0) | 98.3 | NR | - | ||||
| Greece | 3 | 11.0 (2.0-26.0) | 95.2 | NE | - | ||||
| Italy | 10 | 24.0 (13.0-37.0) | 97.1 | 7 | 21.0 (10.0-61.0) | 99.5 | |||
| Spain | 12 | 12.0 (4.0-23.0) | 97.7 | 8 | 6.0 (1.0-14.0) | 96.7 | |||
| Portugal | 7 | 2.0 (1.0-4.0) | 70.1 | 4 | 11.0 (2.0-26.0) | 96.7 | |||
| Brazil | 17 | 8.0 (3.0-13.0) | 93.7 | 7 | 5.0 (1.0-11.0) | 85.3 | |||
| Diagnostic test | ELISA | 12 | 9.0 (5.0-13.0) | 87.8 | P<0.001 | - | - | - | - |
| IHAT | 3 | 6.0 (2.0-10.0) | 97.5 | - | - | - | |||
| IFAT | 30 | 11.0 (6.0-17.0) | 97.7 | - | - | - | |||
| IFAT, ELISA | 6 | 11.0 (7.0-16.0) | 97.5 | - | - | - | |||
| WB | 3 | 14.0 (9.0-20.0) | 96.6 | - | - | - | |||
| DAT | 9 | 10.0 (3.0-19.0) | 94.9 | - | - | - | |||
| PCR | 12 | 7.0 (3.0-14.0) | 93.5 | - | - | - | |||
| Breed of cat | Stray | 22 | 10.0 (6.0-14.0) | 95.2 | 0.46 | 7 | 2.0 (0.0-5.0) | 90.5 | P<0.001 |
| Domestic | 17 | 7.0 (2.0-16.0) | 97.6 | 9 | 8.0 (1.0-19.0) | 96.8 | |||
| Mixed | 13 | 15.0 (8.0-24.0) | 95.6 | 16 | 23.0 (4.0-50.0) | 99.4 | |||
| Leishmania species |
| 36 | 12.0 (8.0-17.0) | 95.4 | 0.09 | 23 | 8.0 (4.0-14.0) | 95.9 | P<0.001 |
|
| 25 | 8.0 (4.0- 14.0) | 96.7 | 9 | 15.0 (.5.0-48.0) | 99.4 | |||
|
| 2 | 10.0 (8.0-12.0) | 97.1 | 2 | 1.0 (0.0-1.0) | - | |||
NR=not reported, NE= not enough studies
Figure 2.Forest plot for the prevalence of Leishmania infection in cats by PCR and serology tests.
Figure 3.Funnel plot for seroprevalence (a) and PCR prevalence (b) of Leishmania infection in cats.