Evidence map›Paper›PMID 41501623›Full record

ArticleBMC microbiology2026

Molecular characterization of Cryptosporidium spp. in goats (Capra hircus) from Zhejiang Province, China: evidence of zoonotic species and subtypes.

Xinyu Hu, Lijie Sun, Yuman Li, Fang Shi, He Yan, Haowen Dong, Aiying Jiang, Baolong Yan, Huicong Huang, Yanyan Jiang and 1 more

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xinyu Hu *NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.
Lijie Sun *Department of Clinical Laboratory, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai, 519000, China.
Yuman LiNHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.
Fang ShiNHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.
He YanNHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.
Haowen DongNHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China.
Aiying JiangSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
Baolong YanSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
Huicong HuangSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
Yanyan JiangNHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, 200025, China. jiangyy@nipd.chinacdc.cn.
Wei ZhaoSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, China. weizhao@wmu.edu.cn.

Funding

the Basic scientific research project of Wenzhou Y2023070the National Natural Science Foundation of China 82273693
6 · The paper itself

Abstract

backgroundCryptosporidium spp. are protozoan pathogens that infect the gastrointestinal tracts of humans and animals, posing significant zoonotic risks. Goats are recognized as important hosts; however, their role in the epidemiology and transmission of Cryptosporidium remains inadequately characterized in certain regions of China.

methodsTo investigate the occurrence and species composition of Cryptosporidium in goats (Capra hircus), fecal samples (n = 386) were collected from multiple farms in Zhejiang Province, China. Genomic DNA was extracted and screened for Cryptosporidium using PCR amplification of the small subunit ribosomal RNA (SSU rRNA) gene, followed by Sanger sequencing for species identification. Positive samples of C. parvum, C. xiaoi, and C. ubiquitum were further subtyped via nested PCR targeting the 60-kilodalton glycoprotein (gp60) gene.

resultsOverall, 31 (8.0%) of the 386 samples were positive for Cryptosporidium spp. Four species were identified: C. xiaoi (n = 14), C. ubiquitum (n = 12), C. parvum (n = 3), and C. occultus (n = 2). Subtyping revealed C. xiaoi XXIIIa, C. ubiquitum XIIa, and C. parvum IIdA19G1. Both C. parvum and C. ubiquitum are zoonotic species that have been previously reported in humans and rodents, indicating potential cross-species transmission within the region.

conclusionsThis study reveals the presence of multiple Cryptosporidium species, including zoonotic C. parvum and C. ubiquitum, in goats from Zhejiang Province. These findings indicate that goats may serve as potential reservoirs for environmental contamination and zoonotic transmission. It is recommended to implement proper management practices and hygienic disposal of goat manure to mitigate the risk of cryptosporidiosis outbreaks.

Indexed as

CryptosporidiosisCryptosporidiumGoat DiseasesGoatsZoonosesAnimalsChinaDNA, ProtozoanFecesGenotypeHumansPhylogenyPolymerase Chain ReactionSequence Analysis, DNADNA, ProtozoanCryptosporidiumGenotypingGoatZhejiangZoontoic

Identifiers

PMID41501623
PMCPMC12908265

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.