Evidence map›Paper›PMID 35526030›Full record

ArticleParasites & vectors2022

Molecular survey of Babesia parasites in Kenya: first detailed report on occurrence of Babesia bovis in cattle.

Naftaly W Githaka, Richard P Bishop, Jan Šlapeta, David Emery, Edward K Nguu, Esther G Kanduma

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Molecular epidemiology and risk factors associated withJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2026
    Article
  3. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
    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

6 authors at 4 institutions in 3 countries.

Naftaly W GithakaInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Richard P BishopWashington State University, Pullman, WA, USA.
Jan ŠlapetaSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0003-1459-9117
David EmerySydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, 2006, Australia.
Edward K NguuDepartment of Biochemistry, Faculty of Science and Technology, University of Nairobi, Nairobi, Kenya.
Esther G KandumaDepartment of Biochemistry, Faculty of Science and Technology, University of Nairobi, Nairobi, Kenya. ekanduma@uonbi.ac.ke.ORCID https://orcid.org/0000-0002-4979-2681
The University of Sydney · AUUniversity of Nairobi · KEInternational Livestock Research Institute · KEWashington State University · US

Funding

Australiawards Africa KE - 2018 - 007
6 · The paper itself

Abstract

backgroundAmong protozoan parasites in the genus Babesia, Babesia bigemina is endemic and widespread in the East African region while the status of the more pathogenic Babesia bovis remains unclear despite the presence of the tick vector, Rhipicephalus microplus, which transmits both species. Recent studies have confirmed the occurrence of R. microplus in coastal Kenya, and although B. bovis DNA has previously been detected in cattle blood in Kenya, no surveillance has been done to establish its prevalence. This study therefore investigated the occurrence of B. bovis in cattle in Kwale County, Kenya, where R. microplus is present in large numbers.

methodsA species-specific multiplex TaqMan real-time PCR assay targeting two Babesia bovis genes, 18S ribosomal RNA and mitochondrially-encoded cytochrome b and B. bigemina cytochrome b gene was used to screen 506 cattle blood DNA samples collected from Kwale County for presence of Babesia parasite DNA. A sub-set of 29 B. bovis real-time PCR-positive samples were further amplified using a B. bovis-specific spherical body protein-4 (SBP-4) nested PCR and the resulting products sequenced to confirm the presence of B. bovis.

resultsA total of 131 animals (25.8%) were found to have bovine babesiosis based on real-time PCR. Twenty-four SBP4 nucleotide sequences obtained matched to B. bovis with a similarity of 97-100%. Of 131 infected animals, 87 (17.2%) were positive for B. bovis while 70 (13.8%) had B. bigemina and 26 (5.1%) were observed to be co-infected with both Babesia species. A total of 61 animals (12.1%) were found to be infected with B. bovis parasites only, while 44 animals (8.7%) had B. bigemina only. Babesia bovis and B. bigemina infections were detected in the three Kwale sub-counties.

conclusionThese findings reveal high prevalence of pathogenic B. bovis in a Kenyan area cutting across a busy transboundary livestock trade route with neighbouring Tanzania. The Babesia multiplex real-time PCR assay used in this study is specific and can detect and differentiate the two Babesia species and should be used for routine B. bovis surveillance to monitor the spread and establishment of the pathogen in other African countries where B. bigemina is endemic. Moreover, these findings highlight the threat of fatal babesiosis caused by B. bovis, whose endemic status is yet to be established. GRAPHICAL ABTRACT.

Indexed as

BabesiaBabesia bovisBabesiosisCattle DiseasesParasitesRhipicephalusAnimalsCattleCytochromes bDNA, ProtozoanKenyaReal-Time Polymerase Chain ReactionCytochromes bDNA, ProtozoanBabesia bigeminaBabesia bovisBabesiosisReal-time PCRRhipicephalus microplusTick-borne diseasesTicksTransboundary diseases

Identifiers

PMID35526030
PMCPMC9077973
OpenAlexW4229029911

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.