Rodent-adapted Cryptosporidium infection in humans: Seven new cases and review of the literature

ONE HEALTH(2024)

引用 0|浏览10
暂无评分
摘要
Cases of cryptosporidiosis in humans have been reported with strong indication of transmission from rodents. Here, we report seven new human cases of cryptosporidiosis involving rodent-adapted species (Cryptosporidium ditrichi [n = 1], Cryptosporidium mortiferum [n = 4; previously known as Cryptosporidium chipmunk genotype I], Cryptosporidium tyzzeri [n = 1], and Cryptosporidium viatorum [n = 1]) and review cases of human infection caused by these four species published to date. The seven new cases were detected in Denmark within a period of twelve months from 2022 to 2023. Only the C. tyzzeri and C. viatorum cases were associated with travel outside Denmark. The total number of human cases of cryptosporidiosis due to C. ditrichi and C. tyzzeri documented to date globally are still limited (4 and 7, respectively), whereas cases involving C. viatorum and C. mortiferum have been detected to a larger extent (43 and 63 cases, respectively). The four new cases of C. mortiferum were all of the XIVaA20G2T1 subtype, which is the only subtype identified so far in Scandinavia, and which is a subtype not yet found outside of Scandinavia. The new C. viatorum case was identified as the XVaA3g subtype. The C. tyzzeri case was subtyped as IXbA6. No subtype data were produced for C. ditrichi due to lack of a subtype assay. Review of existing data suggests the presence of C. ditrichi and C. mortiferum primarily in northern countries and C. tyzzeri and C. viatorum primarily in warmer climates. While our data may further support the role of Cryptosporidium as a cause of zoonotic disease, case descriptions should be obtained where possible to determine if Cryptosporidium species primarily adapted to rodents are the likely cause of symptoms or just an incidental finding.
更多
查看译文
关键词
Protozoa,Zoonosis,Surveillance,One Health,Molecular methods,Parasites,Rodents
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要