Evidence map›Paper›PMID 38528567›Full record

ArticleParasites & vectors2024

Molecular characterization and zoonotic potential of Cryptosporidium spp. and Giardia duodenalis in humans and domestic animals in Heilongjiang Province, China.

Yaru Hao, Aiqin Liu, He Li, Yiyang Zhao, Lan Yao, Bo Yang, Weizhe Zhang, Fengkun Yang

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular detection and zoonotic potential ofFood and waterborne parasitology · 2026
    Article
  4. Article
  5. Occurrence and Multi-Locus Genotyping ofVeterinary sciences · 2025
    Article
  6. Article
  7. Article
  8. Molecular Epidemiology ofMicroorganisms · 2025
    Article
  9. Current research in parasitology & vector-borne diseases · 2025
    Review
  10. Current research in parasitology & vector-borne diseases · 2025
    Article
  11. Review
  12. Current research in parasitology & vector-borne diseases · 2025
    Review
  13. Article
  14. 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

8 authors at 1 institution in 1 country.

Yaru Hao *Department of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Aiqin Liu *Department of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
He LiDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Yiyang ZhaoDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Lan YaoDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Bo YangDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Weizhe ZhangDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China. zhangweizhe526@163.com.
Fengkun YangDepartment of Parasitology, Harbin Medical University, Harbin, 150081, Heilongjiang, China. yangfk99@hotmail.com.
Harbin Medical University · CN

Funding

the Natural Science Foundation of Heilongjiang Province of China No. LH2022H010
6 · The paper itself

Abstract

backgroundCryptosporidiosis and giardiasis are significant parasitic diseases shared between humans and domestic animals. Due to the close contact between humans and domestic animals in rural areas, it is important to consider the potential transmission of zoonotic parasites from infected domestic animals to humans. This investigation aimed to determine the prevalence and molecular characteristics of Cryptosporidium spp. and Giardia duodenalis in domestic animals and villagers.

methodsA total of 116 fecal samples from villagers and 686 fecal samples from domestic animals in Heilongjiang Province, China, were analyzed for two parasites using nested polymerase chain reaction (PCR) targeting various genetic loci and DNA sequence analysis of the PCR products.

resultsBy sequence analysis of the SSU rRNA gene, the prevalence of Cryptosporidium in humans was 0.9% (1/116), with one species of C. parvum (n = 1) detected; among domestic animals, the prevalence was 2.6% (18/686), with five species identified: C. suis (n = 7) and C. scrofarum (n = 7) in pigs, C. meleagridis (n = 1) in chickens, C. andersoni (n = 1) in cattle, and C. canis (n = 2) in foxes. C. parvum and C. canis were further subtyped as IIdA19G1 and XXa4 on the basis of gp60 gene. Regarding G. duodenalis, based on the SSU rRNA, bg, gdh, and tpi genes, the prevalence in domestic animals was 5.1% (31/608), with three assemblages identified: A (n = 1) in pigs, D (n = 1) in foxes, and E (n = 27) in geese, cattle, pigs, ducks, and sheep, along with mixed infection of A + E (n = 1) in one pig and B + E (n = 1) in one sheep. No G. duodenalis was detected in humans (0/116).

conclusionsThe present results show that no overlap of subtypes between animals and villagers was found in Cryptosporidium spp. and G. duodenalis, indicating a minor role of domestic animals in infecting humans in this population. However, the presence of zoonotic protozoa in domestic animals highlights the need for special attention to high-risk individuals during close contact with domestic animals.

Indexed as

CryptosporidiosisCryptosporidiumGiardia lambliaGiardiasisAnimalsAnimals, DomesticCattleChickensChinaFecesFoxesGenotypeHumansPrevalenceSheepSwineCryptosporidium spp.Domestic animalsEpidemiologyGiardia duodenalisHumans

Identifiers

PMID38528567
PMCPMC10964600
OpenAlexW4393158524

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.