| Literature DB >> 30340586 |
Hui Dong1, Yao Yao Lu1, Rui Jing Su1, Ying Hua Wang2, Meng Yao Wang1, Yi Bao Jiang1, Yu Rong Yang3.
Abstract
BACKGROUND: Toxoplasma gondii is an intracellular protozoan that can infect humans and other animals, including cattle. Cattle are one of the world's main sources of meat, and people who consume raw or undercooked meat and milk of cattle infected with T. gondii can become infected. In this study, a total of 5292 dairy cattle serum samples, collected from 17 cities (Henan Province, China) from January 2015 to September 2017, were screened for antibodies against T. gondii.Entities:
Keywords: Cattle; China; Henan Province; Modified agglutination test; Risk factor; Seroprevalence; Toxoplasma gondii
Mesh:
Substances:
Year: 2018 PMID: 30340586 PMCID: PMC6194598 DOI: 10.1186/s12917-018-1629-3
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Seroprevalence of T. gondii in cattle in Henan Province
| Location/ City | Samples obtained date | Tested No. | No. of seropositive samples /(titer) | % (Positive No. /Test No.) | 95% Cl | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1:100 | 1:200 | 1:400 | 1:800 | 1:1600 | 1:3200 | |||||
| I ZhengZhou | 24 Sep 2015b | 209 | 2 | – | – | – | – | – | 0.54% (2/369) | 0.02–2.09 |
| 21 Apr 2017 | 30 | – | – | – | – | – | – | |||
| 01 Aug 2017 | 130 | – | – | – | – | – | – | |||
| II KaiFeng | 19 Oct 2015 | 42 | 3 | – | – | – | – | – | 3.49% (3/86) | 0.77–10.18 |
| 24 Sep 2015 | 44 | – | – | – | – | – | – | |||
| III PingDingShan | 25 Sep 2015 | 300 | 7 | 3 | 2 | 2 | 1 | – | 1.98% (7/353) | 0.88–4.12 |
| 27 Jun 2017 | 4 | – | – | – | – | – | – | |||
| 07 Jun 2017 | 49 | – | – | – | – | – | – | |||
| IV LuoYang | 22 Sep 2015 | 280 | 31 | 23 | 12 | 9 | 6 | 6 | 10.00% (31/310) | 7.10–13.88 |
| 22 Mar 2017 | 30 | – | – | – | – | – | – | |||
| V AnYang | 15 Jan 2015 | 369 | 2 | – | – | – | – | – | 0.41% (2/488) | 0.01–1.58 |
| 05 Jul 2016 | 4 | – | – | – | – | – | – | |||
| 25 Apr 2017 | 32 | – | – | – | – | – | – | |||
| 07 Jun 2017 | 31 | – | – | – | – | – | – | |||
| 28 Jun 2017 | 22 | – | – | – | – | – | – | |||
| 29 Jun 2017 | 30 | – | – | – | – | – | – | |||
| VI JiaoZuo | 16 Oct 2015 | 200 | 7 | – | – | – | – | – | 2.29% (7 /306) | 1.02–4.74 |
| 22 Apr 2017 | 29 | – | – | – | – | – | – | |||
| 26 Jun 2017 | 29 | – | – | – | – | – | – | |||
| 05 Sep 2017 | 48 | – | – | – | – | – | – | |||
| VII HeBi | 15 Jan 2015 | 552 | 12 | 2 | 2 | 2 | 2 | – | 2.07% (12/581) | 1.14–3.62 |
| 15 Jun 2017 | 29 | – | – | – | – | – | – | |||
| VII XinXiang | 16 Oct 2015 | 452 | 11 | 2 | 1 | 1 | – | – | 2.28% (11/482) | 1.23–4.09 |
| 22 Mar 2017 | 30 | – | – | – | – | – | – | |||
| IX PuYang | 15 Oct 2015 | 250 | 2 | – | – | – | – | – | 0.71% (2/283) | 0.02–2.71 |
| 05 Sep 2017 | 33 | – | – | – | – | – | – | |||
| X XuChang | 25 Sep 2015 | 200 | 5 | 2 | 2 | 2 | 2 | – | 1.77% (5/282) | 0.64–4.20 |
| 26 Apr 2017 | 52 | – | – | – | – | – | – | |||
| 27 Apr 2017 | 30 | – | – | – | – | – | – | |||
| XI LuoHe | 25 Sep 2015 | 50 | 1 | – | – | – | – | – | 2.00% (1/50) | 0.01–11.47 |
| XII SanMenXia | 23 Sep 2015 | 81 | – | – | – | – | – | – | 0 (0/150) | – |
| 21 Apr 2017 | 23 | – | – | – | – | – | – | |||
| 07 Sep 2017 | 46 | – | – | – | – | – | – | |||
| XIII NanYang | 14 Oct 2015 | 170 | 2 | – | – | – | – | – | 1.06% (3/283) | 0.21–3.22 |
| 21 Mar 2017 | 16 | – | – | – | – | – | – | |||
| 22 Mar 2017 | 39 | – | – | – | – | – | – | |||
| 27 Jun 2017 | 29 | – | – | – | – | – | – | |||
| 07 Sep 2017 | 29 | 1 | – | – | – | – | – | |||
| XIV XinYang | 18 Apr 2017 | 31 | – | – | – | – | – | – | 0 (0/31) | – |
| XV ZhouKou | 19 Oct 2015 | 50 | 2 | 1 | – | – | – | – | 5.63% (4/71) | 1.80–14.03 |
| 21 Mar 2017 | 21 | 2 | 2 | 2 | 1 | 1 | 1 | |||
| XVI ZhuMaDian | 25 Apr 2017 | 31 | – | – | – | – | – | – | 0.76% (1/131) | 0.01–4.62 |
| 29 Jun 2017 | 10 | – | – | – | – | – | – | |||
| 06 Sep 2017 | 90 | 1 | – | – | – | – | – | |||
| XVII JiYuan | 24 Sep 2015 | 250 | 6 | 1 | – | – | – | – | 2.50% (7/280) | 1.11–5.17 |
| 22 Mar 2017 | 30 | 1 | 1 | – | – | – | – | |||
| XVII NKa | 14 Oct 2015 | 657 | 4 | 3 | – | – | – | – | 0.53% (4/756) | 0.15–1.40 |
| 16 Oct 2015 | 50 | – | – | – | – | – | – | |||
| 04 Jul 2017 | 49 | – | – | – | – | – | – | |||
| Total | 5292 | 102 | 40 | 21 | 17 | 12 | 7 | 1.93% (102/5292) | 1.59–2.34 | |
aNK means the city information of samples were not known
bThe samples sampled on same date from a single farm
Fig. 1Location of samples received from Henan Province of China. Figures were adapted from Wikipedia. a Cities in Henan Province I: ZhengZhou, II: KaiFeng, III: PingDingShan, IV: LuoYang, V: AnYang, VI: JiaoZuo, VII: HeBi, VIII: XinXiang, IX: PuYang, X: XuChang, XI: LuoHe, XII: SanMenXia, XIII: NanYang, XIV: XinYang, XV: ZhouKou, XVI: ZhuMaDian, XVII: JiYuan. Yellow line is the Yellow River. b The Yellow River area in China (adapted from Wikipedia). c Henan Province in China (adapted from Wikipedia)
P values of comparison of seroprevalence of T. gondii infection in cattle from different cities by Fisher’s exact test
| Location | ZhengZhou | KaiFeng | PingDingShan | LuoYang | AnYang | JiaoZuo | HeBi | XinXiang | PuYang | XuChang | LuoHe | SanMenXia | NanYang | XinYang | ZhouKou | ZhuMaDian |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KaiFeng | 0.0489* | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| PingDingShan | 0.1003 | 0.4192 | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
| LuoYang | 0.0001* | 0.0790 | 0.0001* | – | – | – | – | – | – | – | – | – | – | – | – | – |
| AnYang | 1.0000 | 0.0259* | 0.0398* | 0.0001* | – | – | – | – | – | – | – | – | – | – | – | – |
| JiaoZuo | 0.0867 | 0.4624 | 0.7940 | 0.0001* | 0.0316* | – | – | – | – | – | – | – | – | – | – | – |
| HeBi | 0.0937 | 0.4263 | 1.0000 | 0.0001* | 0.0271* | 0.8113 | – | – | – | – | – | – | – | – | – | – |
| XinXiang | 0.0484* | 0.4553 | 0.8146 | 0.0001* | 0.0119* | 1.0000 | 0.8350 | – | – | – | – | – | – | – | – | – |
| PuYang | 1.0000 | 0.0851 | 0.3114 | 0.0001* | 0.6271 | 0.1794 | 0.1625 | 0.1476 | – | – | – | – | – | – | – | – |
| XuChang | 0.2488 | 0.3963 | 1.0000 | 0.0001* | 0.1067 | 0.7744 | 1.0000 | 0.7955 | 0.2856 | – | – | – | – | – | – | – |
| LuoHe | 0.3176 | 1.0000 | 1.0000 | 0.1022 | 0.2541 | 1.0000 | 1.0000 | 1.0000 | 0.3872 | 1.0000 | – | – | – | – | – | – |
| SanMenXia | 1.0000 | 0.0473* | 0.1095 | 0.0001* | 1.0000 | 0.1015 | 0.1400 | 0.0751 | 0.5461 | 0.1685 | 0.2500 | – | – | – | – | – |
| NanYang | 0.6572 | 0.1419 | 0.5244 | 0.0001* | 0.3625 | 0.3433 | 0.4082 | 0.2742 | 1.0000 | 0.5043 | 0.4800 | 0.5545 | – | – | – | – |
| XinYang | 1.0000 | 0.5644 | 1.0000 | 0.0938 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | – | 1.0000 | – | – | – |
| ZhouKou | 0.0073* | 0.7020 | 0.0942 | 0.3615 | 0.0030* | 0.1332 | 0.0855 | 0.1134 | 0.0163* | 0.0845 | 0.2746 | 0.0100* | 0.0322* | 0.3111 | – | – |
| ZhuMaDian | 1.0000 | 0.3032 | 0.6889 | 0.0002* | 0.5106 | 0.4450 | 0.4805 | 0.4767 | 1.0000 | 0.6695 | 0.4773 | 0.4662 | 1.0000 | 1.0000 | 0.1256 | – |
| JiYuan | 0.0440* | 0.7051 | 0.7873 | 0.0002* | 0.0139* | 1.0000 | 0.8048 | 0.8105 | 0.1050 | 0.5758 | 1.0000 | 0.1017 | 0.2203 | 1.0000 | 0.2430 | 0.4450 |
*The difference was considered significant when P value less than 0.05
Seroprevalence and risk factors of T. gondii in dairy cattle in Henan Province
| Factor | Category | No. of tested | Number of seropositive samples /(cut-off) | Prevalence (%) | 95% Cl | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1:100 | 1:200 | 1:400 | 1:800 | 1:1600 | 1:3200 | |||||
| Geographya | North of the Yellow River | 2420 | 41 | 6 | 3 | 3 | 2 | 0 | 1.69% | 1.25–2.30 |
| South of the Yellow River | 2116 | 57 | 31 | 18 | 14 | 10 | 7 | 3.67% | 2.08–3.48 | |
| Seasonb | Summer | 416 | 0 | 0 | 0 | 0 | 0 | 0 | – | – |
| Springa | 424 | 3 | 3 | 2 | 1 | 1 | 1 | 0.71% | 0.14–2.16 | |
| Winter | 921 | 14 | 2 | 2 | 2 | 2 | 2 | 1.52% | 0.88–2.56 | |
| Autumna | 3531 | 85 | 19 | 17 | 14 | 9 | 6 | 2.41% | 1.95–2.97 | |
aP-value < 0.05 by two-tailed chi-square tests for geography factor
bSpring includes March, April and May. Summer includes June, July, and August. Autumn includes September, October, and November. Winter includes December, January and February