Prevalence and risk factors of Cryptosporidium in humans in China: A systematic review and meta-analysis

IF 3.9 3区 医学 Q3 IMMUNOLOGY
Microbial pathogenesis Pub Date : 2026-02-01 Epub Date: 2025-12-20 DOI:10.1016/j.micpath.2025.108255
Rui Shi , Wei Wei , Di Jiao , Rigai Sa , Guoshuai Li , Jing Li , Hua Bai , Risu Na , Rui Wang
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引用次数: 0

Abstract

Cryptosporidium is a globally distributed protozoan parasite and a major cause of diarrheal disease, particularly among immunocompromised individuals. Despite its growing recognition as an important zoonotic pathogen, large-scale epidemiological data specific to the Chinese population remain scarce. We systematically retrieved articles on the occurrence of Cryptosporidium in humans in China through searches of PubMed, Web of Science, ScienceDirect, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Chinese Journal Database, with the literature search current through May 15, 2025, following PRISMA guidelines. A total of 193 studies were included, covering data from 27 provinces. A total of 193 studies were included, covering data from 27 provinces, with a total sample size of 249,142 individuals, of whom 11,339 tested positive. Pooled prevalence and 95 % confidence intervals (CI) were estimated using a random-effects model. Funnel-plot inspection and Egger's test indicated small-study effects/publication bias (p = 0.0082); trim-and-fill adjustment suggested some missing studies but produced broadly consistent adjusted estimates, so findings are reported with appropriate caution. The pooled prevalence of Cryptosporidium infection in humans in China was estimated at 5.0 %. Higher infection rates were observed in Northwestern China (6.61 %, 95 % CI: 3.20–11.13) and among individuals aged 17–30 years (8.43 %, 95 % CI: 3.55–14.61), and a significant decline in prevalence was noted in studies conducted after 2015. C. parvum and C. hominis were identified as the main infecting species, while other Cryptosporidium species (C. meleagridis, C. canis, C. felis, C. viatorum, C. baileyi, C. andersoni, C. bovis and C. suis) were only sporadically detected. In addition, higher infection rates occurred in HIV-positive individuals (7.63 %, 95 % CI: 5.34–10.28) and rural populations (5.18 %, 95 % CI: 3.46–7.23). These findings highlight the need for improved surveillance, accurate diagnostics, and targeted prevention strategies in high-risk regions and populations, with attention not only to young children but also to adults, who may face overlooked exposure risks.

Abstract Image

中国人类隐孢子虫患病率及危险因素:系统回顾和荟萃分析。
隐孢子虫是一种全球分布的原生动物寄生虫,也是腹泻病的主要病因,特别是在免疫功能低下的人群中。尽管人们越来越认识到它是一种重要的人畜共患病原体,但针对中国人口的大规模流行病学数据仍然很少。我们按照PRISMA指南,通过PubMed、Web of Science、ScienceDirect、中国国家知识基础设施、万方数据和VIP中文期刊数据库,系统检索了截至2025年5月15日的中国人类隐孢子虫发生的文献。共纳入193项研究,涵盖27个省份的数据。共纳入193项研究,涵盖27个省份的数据,总样本量为249142人,其中11339人检测呈阳性。使用随机效应模型估计合并患病率和95%置信区间(CI)。漏斗图检验和Egger检验显示小研究效应/发表偏倚(p = 0.0082);修剪填充调整建议了一些缺失的研究,但产生了大致一致的调整估计,因此报告结果时要适当谨慎。中国人类隐孢子虫感染的总流行率估计为5.0%。中国西北地区(6.61%,95% CI: 3.20-11.13)和17-30岁人群(8.43%,95% CI: 3.55-14.61)的感染率较高,2015年以后进行的研究发现患病率显著下降。小隐孢子虫和人隐孢子虫是主要的感染种,其他隐孢子虫(meleagridis隐孢子虫、ccanis隐孢子虫、cfelis隐孢子虫、cviatorum隐孢子虫、cbaileyi隐孢子虫、candersoni隐孢子虫、cbovis隐孢子虫和csuis隐孢子虫)仅零星检出。此外,hiv阳性个体(7.63%,95% CI: 5.34-10.28)和农村人群(5.18%,95% CI: 3.46-7.23)的感染率较高。这些发现突出表明,需要在高风险地区和人群中改进监测、准确诊断和有针对性的预防战略,不仅要关注幼儿,还要关注可能面临被忽视的暴露风险的成年人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbial pathogenesis
Microbial pathogenesis 医学-免疫学
CiteScore
7.40
自引率
2.60%
发文量
472
审稿时长
56 days
期刊介绍: Microbial Pathogenesis publishes original contributions and reviews about the molecular and cellular mechanisms of infectious diseases. It covers microbiology, host-pathogen interaction and immunology related to infectious agents, including bacteria, fungi, viruses and protozoa. It also accepts papers in the field of clinical microbiology, with the exception of case reports. Research Areas Include: -Pathogenesis -Virulence factors -Host susceptibility or resistance -Immune mechanisms -Identification, cloning and sequencing of relevant genes -Genetic studies -Viruses, prokaryotic organisms and protozoa -Microbiota -Systems biology related to infectious diseases -Targets for vaccine design (pre-clinical studies)
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