| Literature DB >> 36050691 |
Ningbo Xia1, Nuo Ji1, Longjiao Li2, Yuan Huang3, Congshan Yang4, Xuefang Guo1, Qinghong Guo1, Bang Shen3, Lihua Xiao5, Yaoyu Feng6.
Abstract
BACKGROUND: Toxoplasma gondii infects almost all warm-blooded animals, and cats play a crucial role in the epidemiology of T. gondii as the definitive host. Despite sporadic reports on the seroprevalence of T. gondii in domestic cats, systematic surveys are lacking and some regions remain in China uninvestigated.Entities:
Keywords: Cat; Definitive host; Epidemiology; Serology; Toxoplasmosis
Mesh:
Substances:
Year: 2022 PMID: 36050691 PMCID: PMC9434894 DOI: 10.1186/s12917-022-03427-w
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.792
Fig. 1Location of sampling for the study of seroprevalence of Toxoplasma gondii infection in cats in China. I, Qinghai; II, Ningxia; III, Shaanxi; IV, Jiangxi; V, Anhui; VI, Hubei; VII, Hunan; VIII, Sichuan; IX, Chongqing; X, Guangdong
Prevalence of Toxoplasma gondii antibodies in domestic cats
| Region | Province/City | Test time | No. tested | No. positive | % Positive |
|---|---|---|---|---|---|
| Northwest China | Qinghai | 2021–2022 | 81 | 5 | 6.2% |
| Ningxia | 2021 | 244 | 4 | 1.6% | |
| Shaanxi | 2021 | 41 | 1 | 2.4% | |
| Eastern China | Jiangxi | 2021–2022 | 81 | 2 | 2.5% |
| Anhui | 2021 | 192 | 6 | 3.1% | |
| Central China | Hubei | 2021 | 406 | 10 | 2.5% |
| Hunan | 2021 | 141 | 9 | 6.4% | |
| Southwest China | Sichuan | 2021–2022 | 100 | 13 | 13% |
| Chongqing | 2021 | 86 | 11 | 12.8% | |
| Southern China | Guangdong | 2021–2022 | 106 | 1 | 0.9% |
| Total | 1,478 | 62 | 4.2% |
Analysis of potential risk factors in seroprevalence of Toxoplasma gondii in domestic cats (1478) in 10 regions in China
| Variable | N (%) | OR c | 95% CI | χ2 | |
|---|---|---|---|---|---|
| Female | 606 (3.8) | 0.976 | 0.554–1.721 | 0.000 | 1.000 |
| Male | 695 (3.9) | ||||
| Unknown | 177 (6.8) | ||||
| ≤ 1 | 566 (2.3) | 0.300 | 0.152–0.592 | 12.176 | 0.000d |
| 1 < Age ≤ 2 | 183 (6.0) | 1.629 | 0.795–3.336 | 1.299 | 0.254 |
| > 2 | 175 (8.6) | 2.832 | 1.453–5.520 | 8.824 | 0.003d |
| Unknown | 554 (4.2) | ||||
| Commercial cat food | 1134 (3.7) | 0.641 | 0.266–1.545 | 0.541 | 0.462 |
| Homemade cooked food | 5 (0) | NA | NA | 0.000 | 1.000 |
| Animal organs | 29 (3.4) | 0.884 | 0.118–6.640 | 0.000 | 1.000 |
| Othera | 72 (6.9) | 1.952 | 0.749–5.091 | 1.163 | 0.281 |
| Unknown | 238 (5.9) | ||||
| Tap water | 598 (4.7) | 1.445 | 0.798–2.618 | 1.149 | 0.284 |
| Filtered water | 529 (3.0) | 0.620 | 0.335–1.146 | 1.930 | 0.165d |
| Otherb | 49 (6.1) | 1.605 | 0.481–5.363 | 0.163 | 0.687 |
| Unknown | 302 (5.0) | ||||
| Domestic cats | 1478 (4.2) | 0.165 | 0.076–0.360 | 22.671 | 0.000d |
| Stray cats | 43 (20.9) | ||||
Note: Some cats eat/drink two or more types of food/water
aSuch as snacks, canned, freeze-dried, lean meat or some cats eat two or more types of food
bSuch as plain water, mineral water or mix of two or more types of water
cOdds ratio
dSelected for multivariate analysis
Risk factors for Toxoplasma gondii infection in cats in China identified by the multivariate logistic regression analysis
| Variable | Multiple logistic regression | |||||
|---|---|---|---|---|---|---|
| Coefficient | Standard error | Wald | Degrees Of freedom | OR (95% CI) | ||
| Age | 0.017 | 0.006 | 8.287 | 1 | 0.004 | 1.017 (1.005–1.029) |
| Water | 0.601 | 1.041 | 0.333 | 2 | 0.564 | 1.824 (0.237–14.036) |
| Lifestyle | -1.799 | 0.397 | 20.574 | 1 | 0.000 | 0.165 (0.076–0.360) |