
doi: 10.1292/jvms.71.217
pmid: 19262036
Enterocytozoon bieneusi is an emerging and clinically significant enteric pathogen in humans associated mainly with chronic diarrhea. It has been found in a variety of wild, domestic and companion mammals and birds. To date, epidemiological surveys of E. bieneusi infection in humans, other mammals and birds have been performed in more than 21 countries in Africa, the Americas, Australasia and Europe. In Asia E. bieneusi has been found in India, Thailand, Vietnam and Korea, but it has been quite unclear whether this pathogen is present in Japan. In the present study, we examined 149 DNAs extracted from 45 human (9 of them HIV-positive) and 104 animal fecal samples by PCR. Two dogs and a cat were positive and their genotypes were found to be dog specific and zoonotic (genotype K) types, respectively. Present study is the first record of E. bieneusi in Japan.
Diarrhea, Genotype, Molecular Sequence Data, Sequence Analysis, DNA, Enterocytozoon, Polymerase Chain Reaction, Feces, Dogs, Japan, Microsporidiosis, Cats, Animals, Humans, DNA, Fungal
Diarrhea, Genotype, Molecular Sequence Data, Sequence Analysis, DNA, Enterocytozoon, Polymerase Chain Reaction, Feces, Dogs, Japan, Microsporidiosis, Cats, Animals, Humans, DNA, Fungal
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
