Evidence map›Paper›PMID 33000433›Full record

ArticleParasitology research2020

Molecular detection of apicomplexan protozoa in Hokkaido brown bears (Ursus arctos yesoensis) and Japanese black bears (Ursus thibetanus japonicus).

Mohamed Abdallah Mohamed Moustafa, Ayaka Sasaki, Michito Shimozuru, Ryo Nakao, Mariko Sashika, Koji Yamazaki, Shinsuke Koike, Junpei Tanaka, Hiroo Tamatani, Masami Yamanaka and 2 more

Abstract read
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In one paragraph

Article in Parasitology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Diversity ofPathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Nucleic Acid Prevalence of ZoonoticTropical medicine and infectious disease · 2023
    Review
  9. Review
  10. 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

12 authors at 6 institutions in 2 countries.

Mohamed Abdallah Mohamed Moustafa *Laboratory of Parasitology, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
Ayaka Sasaki *Laboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Japan.
Michito ShimozuruLaboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Japan.
Ryo NakaoLaboratory of Parasitology, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
Mariko SashikaLaboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Japan.
Koji YamazakiDepartment of Forest Science, Tokyo University of Agriculture, Tokyo, Japan.
Shinsuke KoikeInstitute of Global Innovation Research, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Junpei TanakaPicchio Wildlife Research Center, Karuizawa, Nagano, Japan.
Hiroo TamataniPicchio Wildlife Research Center, Karuizawa, Nagano, Japan.
Masami YamanakaShiretoko Nature Foundation, Shari, Hokkaido, Japan.
Tsuyoshi IshinazakaShiretoko Nature Foundation, Shari, Hokkaido, Japan.
Toshio TsubotaLaboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Japan. tsubota@vetmed.hokudai.ac.jp.ORCID http://orcid.org/0000-0002-8314-1233
Hokkaido University · JPJapan Wildlife Research Center · JPShiretoko Museum · JPSouth Valley University · EGTokyo University of Agriculture · JPTokyo University of Agriculture and Technology · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology F01
6 · The paper itself

Abstract

Many tick-borne pathogens (TBPs) are present in wildlife. The objective of this study is to reveal the role of wild bears in maintaining TBPs. A total of 49 brown bears (Ursus arctos yesoensis) from Hokkaido, and 18 Japanese black bears (Ursus thibetanus japonicus) from Tochigi, and 66 Japanese black bears from Nagano were examined by two molecular methods, reverse line blot (RLB) hybridization, and nested PCR. A total of 5 TBPs (Hepatozoon ursi, Babesia sp. UR2-like group, Cytauxzoon sp. UR1, Babesia sp. UR1, and Babesia microti) were detected from bear blood DNA samples. B. microti was detected from blood DNA samples of Japanese black bear for the first time, with the prevalence of 6.0% (5/84). Out of detected pathogens, H. ursi, Babesia sp. UR2-like pathogens, and Cytauxzoon sp. UR1 were considered as three of the most prevalent TBPs in bears. The prevalence of H. ursi were significantly higher in Japanese black bear (0% vs 96.4%) while that of Babesia sp. UR2-like group was higher in Hokkaido brown bears (89.8% vs 40.5%). The prevalence of Babesia sp. UR1 were significantly higher in Japanese black bears from Tochigi (44.4%), comparing with those from Nagano (18.2%). The prevalence of the detected TBPs were significantly higher in adult bears, comparing with those in younger bears. The present study suggests that Japanese bear species contribute in the transmission of several TBPs in Japan. The expanding distribution of bears might cause the accidental transmission of TBPs to humans and domestic animals.

Indexed as

AnimalsAnimals, WildApicomplexaDNA, ProtozoanJapanPrevalenceProtozoan Infections, AnimalTick-Borne DiseasesTicksUrsidaeDNA, ProtozoanApicomplexan protozoaBabesia microtiBearsCytauxzoonRLB

Identifiers

PMID33000433
OpenAlexW3090836023

What OpenQuestion holds

Textmetadata
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.