| Literature DB >> 28497743 |
Maria Guadalupe Montes Cortés1, José Luis Fernández-García2, Miguel Ángel Habela Martínez-Estéllez1.
Abstract
Equine piroplasmoses are enzootic parasitic diseases distributed worldwide with high incidence in tropical and subtropical regions. In Spain, there is insufficient epidemiological data about equine piroplasmoses. The main aim of the present study was therefore to estimate the prevalence of Theileria equi and Babesia caballi in five regions and obtain information about the risk factors. This study was conducted in the central and south-western regions of Spain, using indirect fluorescence antibody testing (IFAT) in 3,100 sera samples from apparently healthy horses of different ages, breeds, coat colours, genders and geographical locations. The overall seroprevalence was 52%, consisting of 44% seropositive for T. equi and 21% for B. caballi. There was a significant association between age (p < 0.0001), breed (p < 0.004), geographical location (p < 0.0001) and the seroprevalence, but neither the coat colour nor the gender was significantly associated with prevalence. In addition, it was proved that most of the geographic areas showed a moderate to high prevalence. The statistical κ value was used to compare the results obtained by the IFAT and the competitive enzyme-linked immunosorbent assay (cELISA) utilised to test some samples (n = 108) and showed a higher concordance for T. equi (κ = 0.68) than for B. caballi (κ = 0.22). Consequently, this revealed the importance of developing an appropriate technique to detect each haemoparasite. © M.G. Montes Cortés et al., published by EDP Sciences, 2017.Entities:
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Year: 2017 PMID: 28497743 PMCID: PMC5432961 DOI: 10.1051/parasite/2017015
Source DB: PubMed Journal: Parasite ISSN: 1252-607X Impact factor: 3.000
Figure 1.Map of equine piroplasmosis prevalence by region in Spain. The histogram within each province represents the positive horses using percentages.
Prevalence of T. equi and B. caballi antibodies (by IFAT) in horses from different regions of Spain
| Region | Seroprevalence |
|
| Co-infection (% ± | Total (% ± |
|---|---|---|---|---|---|
| Andalusia | Males | 241/560 (43.04 ± 0.021) | 105/560 (18.75 ± 0.017) | 77/560 (13.75 ± 0.014) | 269 (48.04 ± 0.021) |
| Females | 175/394 (44.42 ± 0.025) | 107/394 (27.16 ± 0.022) | 65/394 (16.50 ± 0.019) | 217 (55.07 ± 0.025) | |
| Overall | 416 (43.61 ± 0.016) | 212 (22.22 ± 0.013) | 142 (14.88 ± 0.011) | 486 (50.94 ± 0.016) | |
| Castilla-La Mancha | Males | 125/207 (60.39 ± 0.034) | 42/207 (20.29 ± 0.028) | 34/207 (16.43 ± 0.026) | 133 (64.25 ± 0.033) |
| Females | 114/175 (65.14 ± 0.036) | 37/175 (21.14 ± 0.031) | 26/175 (14.86 ± 0.027) | 125 (71.43 ± 0.034) | |
| Overall | 239 (62.57 ± 0.025) | 79 (20.68 ± 0.021) | 60 (15.71 ± 0.019) | 258 (67.54 ± 0.024) | |
| Castilla-León | Males | 165/424 (38.92 ± 0.024) | 130/424 (30.66 ± 0.022) | 62/424 (14.62 ± 0.017) | 233 (54.95 ± 0.024) |
| Females | 103/266 (38.72 ± 0.030) | 85/266 (31.95 ± 0.029) | 51/266 (19.17 ± 0.024) | 137 (51.50 ± 0.031) | |
| Overall | 268 (38.84 ± 0.019) | 215 (31.16 ± 0.018) | 113 (16.38 ± 0.014) | 370 (53.62 ± 0.019) | |
| Extremadura | Males | 167/391 (42.71 ± 0.025) | 61/391 (15.60 ± 0.018) | 34/391 (8.70 ± 0.014) | 194 (49.61 ± 0.025) |
| Females | 190/371 (51.21 ± 0.026) | 32/371 (8.63 ± 0.015) | 23/371 (6.20 ± 0.013) | 199 (53.64 ± 0.026) | |
| Overall | 357 (46.85 ± 0.018) | 93 (12.20 ± 0.012) | 57 (7.48 ± 0.010) | 393 (51.67 ± 0.018) | |
| Madrid | Males | 68/209 (32.54 ± 0.032) | 24/209 (11.48 ± 0.022) | 15/209 (7.18 ± 0.018) | 77 (36.84 ± 0.033) |
| Females | 33/103 (32.04 ± 0.046) | 20/103 (19.42 ± 0.039) | 11/103 (10.68 ± 0.031) | 42 (40.78 ± 0.049) | |
| Overall | 101 (32.37 ± 0.027) | 44 (14.10 ± 0.020) | 26 (8.33 ± 0.016) | 119 (38.14 ± 0.028) |
(SE = Standard Error).
Serological results by IFAT and cELISA for T. equi (A) and B. caballi (B), respectively.
| cELISA | ||||
|---|---|---|---|---|
| Positive | Negative | Total | ||
|
| ||||
| IFAT | Positive | 48 | 7 | 55 |
| Negative | 10 | 43 | 53 | |
| Total | 58 | 50 | 108 | |
|
| ||||
| IFAT | Positive | 4 | 16 | 20 |
| Negative | 3 | 85 | 88 | |
| Total | 7 | 101 | 108 | |
T. equi and B. caballi prevalence by different diagnostic methods, including geographical distribution and predominant parasite.
| Diagnostic method | Continent | Country | Sample size | Prevalence in % ( | Predominant parasite | References |
|---|---|---|---|---|---|---|
| CFT | America | Brazil | 582 | 28.5 and 54.6 |
| Kerber et al. 2009 [ |
| Europe | France | 443 | 58 and 12.9 |
| Guidi et al. 2015 [ | |
| ELISA | Africa | Egypt | 88 | 14.8 and 0 |
| Mahmoud et al. 2016 [ |
| Sudan | 158 | 63.5 and 4.4 |
| Salim et al. 2008 [ | ||
| America | Brazil | 47 | 81 and 90 |
| Xuan et al. 2001 [ | |
| Brazil | 582 | 26.6 and 69.6 |
| Kerber et al. 2009 [ | ||
| Brazil | 198 | 78.3 and 69.2 |
| Vieira et al. 2013 [ | ||
| Costa Rica | 130 | 88.5 and 69.2 |
| Posada-Guzmán et al. 2015 [ | ||
| Venezuela | 360 | 50.3 and 70.5 |
| Mujica et al. 2011 [ | ||
| Venezuela | 694 | 14 and 23.2 |
| Rosales et al. 2013 [ | ||
| Asia | China | 70 | 40 and 24.3 |
| Xuan et al. 2002 [ | |
| China | 111 | 34 and 32 |
| Xu et al. 2003 [ | ||
| China | 1990 | 11.51 and 51.16 |
| Wang et al. 2014 [ | ||
| UAE | 105 | 32.4 and 4.8 |
| Jaffer et al. 2010 [ | ||
| India | 180 | 75 and 1.11 |
| Sumbria et al. 2016 [ | ||
| Japan | 2019 | 2.2 and 5.4 |
| Ikadai et al. 2002 [ | ||
| Jordan | 253 | 14.6 and 0 |
| Abutarbush et al. 2012 [ | ||
| Korea | 184 | 1.1 and 0 |
| Seo et al. 2011 [ | ||
| Mongolia | 254 | 72.8 and 40.1 |
| Boldbaatar et al. 2005 [ | ||
| Mongolia | 250 | 51.6 and 19.6 |
| Munkhjargal et al. 2013 [ | ||
| Pakistan | 430 | 41.2 and 21.6 |
| Hussain et al. 2014 [ | ||
| Thailand | 240 | 5.42 and 2.5 |
| Kamyingkird et al. 2014 [ | ||
| Turkey | 481 | 16.21 and 0.83 |
| Sevinc et al. 2008 [ | ||
| Turkey | 220 | 56.8 and 0 |
| Kurt and Yaman 2012 [ | ||
| Europe | Greece | 524 | 9.2 and 1.1 |
| Kouam et al. 2010 [ | |
| Italy | 673 | 39.8 and 8.9 |
| Bartolomé del Pino et al. 2016 [ | ||
| Portugal | 162 | 17.9 and 11.1 |
| Ribeiro et al. 2013 [ | ||
| Spain | 380 | 48.6 and 7.9 |
| García-Bocanegra et al. 2013 [ | ||
| Spain | 1067 | 21.9 and 5 |
| Camino et al. 2016 [ | ||
| IFAT | Africa | Egypt | 88 | 23.9 and 17.0 |
| Mahmoud et al. 2016 [ |
| South Africa | 92 | 97.83 and 52.17 |
| Motloang et al. 2008 [ | ||
| America | Brazil | 93 | 33.3 and 68.8 |
| Asgarali et al. 2007 [ | |
| Brazil | 487 | 91.0 and 83 |
| Heim et al. 2007 [ | ||
| Mexico | 248 | 45.2 and 27.4 |
| Cantú-Martínez et al. 2012 [ | ||
| Asia | Iran | 100 | 48 and 2 |
| Abedi et al. 2014 [ | |
| Saudi Arabia | 241 | 10.4 and 7.5 |
| Alanazi et al. 2012 [ | ||
| Thailand | 240 | 8.75 and 5 |
| Kamyingkird et al. 2014 [ | ||
| Turkey | 110 | 64.5 and 4.5 |
| Akkan et al. 2003 [ | ||
| Turkey | 84 | 23.8 and 38 |
| Acici et al. 2008 [ | ||
| Turkey | 125 | 12.8 and 9.6 |
| Karatepe et al. 2009 [ | ||
| UAE | 105 | 33.3 and 10.5 |
| Jaffer et al. 2010 [ | ||
| Europe | Italy | 412 | 12.4 and 17.9 |
| Moretti et al. 2010 [ | |
| Italy | 294 | 8.2 and 0.3 |
| Grandi et al. 2011 [ | ||
| Italy | 300 | 41 and 26 |
| Laus et al. 2013 [ | ||
| Italy | 1441 | 32.2 and 1.9 |
| Sgorbini et al. 2015 [ | ||
| Netherlands | 300 | 1 and 3 |
| Butler et al. 2012 [ | ||
| Spain | 60 | 40 and 28.3 |
| Camacho et al. 2005 [ | ||
| Spain | – | 52.5 and 21.3 |
| Habela et al. 2005 [ | ||
| Switzerland | 689 | 4.4 and 1.5 |
| Sigg et al. 2010 [ | ||
| PCR | Africa | Egypt | 88 | 36.4 and 19.3 |
| Mahmoud et al. 2016 [ |
| South Africa | 92 | 5.43 and 0 |
| Motloang et al. 2008 [ | ||
| Sudan | 131 | 25.2 and 0 |
| Salim et al. 2008 [ | ||
| Sudan | 499 | 35.95 and 0 |
| Salim et al. 2013 [ | ||
| Tunisia | 104 | 11.54 and 0.96 |
| Ros-García et al. 2013 [ | ||
| America | Brazil | 487 | 59.7 and 12.5 |
| Heim et al. 2007 [ | |
| Costa Rica | 130 | 46.2 and 20 |
| Posada-Guzmán et al. 2015 [ | ||
| Guatemala | 74 | 52 and 48 |
| Teglas et al. 2005 [ | ||
| Venezuela | 136 | 61.8 and 4.4 |
| Rosales et al. 2013 [ | ||
| Asia | India | 180 | 14.14 and 0 |
| Sumbria et al. 2016 [ | |
| Iran | 100 | 45 and 0 |
| Abedi et al. 2014 [ | ||
| Iran | 240 | 10.83 and 5.83 |
| Malekifard et al. 2014 [ | ||
| Jordan | 288 | 18.8 and 7.3 |
| Qablan et al. 2013 [ | ||
| Korea | 224 | 0.9 and 0 |
| Seo et al. 2013 [ | ||
| Turkey | 200 | 7 and 3 |
| Güçlü and Karaer 2007 [ | ||
| Turkey | 203 | 2.96 and 1.97 |
| Kizilarslan et al. 2015 [ | ||
| Turkey | 125 | 8.8 and 0 |
| Guven et al. 2017 [ | ||
| Mongolia | 192 | 92.7 and 1.2 |
| Sloboda et al. 2011 [ | ||
| Mongolia | 250 | 6.4 and 42.4 |
| Mans et al. 2015 [ | ||
| Europe | Central Balkans | 142 | 22.5 and 2.1 |
| Davitkov et al. 2016 [ | |
| France | 111 | 80 and 1.2 |
| Fritz 2010 [ | ||
| Italy | 294 | 2.72 and 0 |
| Grandi et al. 2011 [ | ||
| Italy | 300 | 6.0 and 11.7 |
| Laus et al. 2013 [ | ||
| Italy | 263 | 70.3 and 10.3 |
| Bartolomé del Pino et al. 2016 [ | ||
| Romania | 178 | 20.3 and 2.2 |
| Gallusová et al. 2014 [ |