Seroprevalence of Toxoplasma gondii in pregnant women and livestock in the mainland of China: a systematic review and hierarchical meta-analysis

• Published in: Scientific reports Vol. 8; no. 1; pp. 6218 - 10
• Main Authors: Deng, Huifang, Devleesschauwer, Brecht, Liu, Mingyuan, Li, Jianhua, Wu, Yongning, van der Giessen, Joke W. B., Opsteegh, Marieke
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 18.04.2018; Nature Publishing Group; Nature Portfolio
• Subjects: 692/308/174; 692/699/255/1715; 692/700/478/2772; Bayesian analysis; Cysts; Humanities and Social Sciences; Literature reviews; Livestock; Meat; Meta-analysis; multidisciplinary; Pregnancy; Protozoa; Science; Science (multidisciplinary); Serology; Systematic review; Toxoplasma gondii; China
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-24361-8

Primary Toxoplasma gondii infection in pregnant women may result in abortion, stillbirth, or lifelong disabilities of the unborn child. One of the main transmission routes to humans is consumption of raw or undercooked meat containing T. gondii tissue cysts. We aim to determine and compare the regional distribution of T. gondii seroprevalence in pregnant women and meat-producing livestock in China through a systematic literature review. A total of 272 eligible publications were identified from Medline, Scopus, Embase and China National Knowledge Infrastructure. Apparent and true seroprevalence were analysed by region using a novel Bayesian hierarchical model that allowed incorporating sensitivity and specificity of the applied serological assays. The true seroprevalence of T. gondii in pregnant women was 5.0% or less in seven regions of China. The median of the regional true seroprevalences in pigs (24%) was significantly higher than in cattle (9.5%), but it was not significantly higher than in chickens (20%) and small ruminants (20%). This study represents the first use of a Bayesian hierarchical model to obtain regional true seroprevalence. These results, in combination with meat consumption data, can be used to better understand the contribution of meat-producing animals to human T. gondii infection in China.