Effect of diminazene block treatment on live redwater vaccine reactions

One third of the manufacturer's prescribed dose of diminazene has long been used to block treat the South African unfrozen Babesia bigemina and Babesia bovis (redwater) vaccine reactions, with no known adverse effects. It is known that the inhibitory effect of antibabesial drugs is more pronounced in animals inoculated with the frozen vaccine than those with the unfrozen vaccine. Reports of vaccine failures in some animals in which diminazene was used for block treatment of the reactions following inoculation with frozen South African redwater vaccine led us to reinvestigate the required waiting period before treatment and the reduced dose necessary for successful treatment and development of immunity. Results from febrile reactions in cattle following vaccination indicated day 7 as the optimal day for administering block treatment. Treatment of B. bigemina vaccine reactions in cattle on day 7 at a level of 0.35 mg/kg (1/10 fraction of the normal dose) diminazene killed all the parasites while B. bovis vaccine parasites survived treatment using diminazene at levels between 0.35 mg/kg and 1.16 mg/kg. However, various other factors, such as the degree of natural resistance of different cattle breeds and individual animals, the accuracy of diminazene content according to the manufacturer's label claim and the accuracy of the drug dose administered, all influence the successful immunization of animals. Consequently block treating of Babesia vaccines with diminazene on day 7 after vaccination is not recommended.

Download Full-text

Inhibitory effect of cyclophilin A from the hard tick Haemaphysalis longicornis on the growth of Babesia bovis and Babesia bigemina

Parasitology Research ◽

10.1007/s00436-013-3390-7 ◽

2013 ◽

Vol 112 (6) ◽

pp. 2207-2213 ◽

Cited By ~ 6

Author(s):

Hiroki Maeda ◽

Damdinsuren Boldbaatar ◽

Kodai Kusakisako ◽

Remil Linggatong Galay ◽

Kyaw Min Aung ◽

...

Keyword(s):

Cyclophilin A ◽

Inhibitory Effect ◽

Babesia Bovis ◽

Hard Tick ◽

Haemaphysalis Longicornis ◽

Babesia Bigemina

Download Full-text

Apicoplast-Targeting Antibacterials Inhibit the Growth of Babesia Parasites

Antimicrobial Agents and Chemotherapy ◽

10.1128/aac.05488-11 ◽

2012 ◽

Vol 56 (6) ◽

pp. 3196-3206 ◽

Cited By ~ 42

Author(s):

Mahmoud AbouLaila ◽

Tserendorj Munkhjargal ◽

Thillaiampalam Sivakumar ◽

Akio Ueno ◽

Yuki Nakano ◽

...

Keyword(s):

Growth Cycle ◽

Inhibitory Effect ◽

Significant Inhibition ◽

Babesia Bovis ◽

Babesia Microti ◽

Babesia Bigemina ◽

Content Type ◽

Babesia Equi

ABSTRACTThe apicoplast housekeeping machinery, specifically apicoplast DNA replication, transcription, and translation, was targeted by ciprofloxacin, thiostrepton, and rifampin, respectively, in thein vitrocultures of fourBabesiaspecies. Furthermore, thein vivoeffect of thiostrepton on the growth cycle ofBabesia microtiin BALB/c mice was evaluated. The drugs caused significant inhibition of growth from an initial parasitemia of 1% forBabesia bovis, with 50% inhibitory concentrations (IC50s) of 8.3, 11.5, 12, and 126.6 μM for ciprofloxacin, thiostrepton, rifampin, and clindamycin, respectively. The IC50s for the inhibition ofBabesia bigeminagrowth were 15.8 μM for ciprofloxacin, 8.2 μM for thiostrepton, 8.3 μM for rifampin, and 206 μM for clindamycin. The IC50s forBabesia caballiwere 2.7 μM for ciprofloxacin, 2.7 μM for thiostrepton, 4.7 μM for rifampin, and 4.7 μM for clindamycin. The IC50s for the inhibition ofBabesia equigrowth were 2.5 μM for ciprofloxacin, 6.4 μM for thiostrepton, 4.1 μM for rifampin, and 27.2 μM for clindamycin. Furthermore, an inhibitory effect was revealed for cultures with an initial parasitemia of either 10 or 7% forBabesia bovisorBabesia bigemina, respectively. The three inhibitors caused immediate death ofBabesia bovisandBabesia equi. The inhibitory effects of ciprofloxacin, thiostrepton, and rifampin were confirmed by reverse transcription-PCR. Thiostrepton at a dose of 500 mg/kg of body weight resulted in 77.5% inhibition ofBabesia microtigrowth in BALB/c mice. These results implicate the apicoplast as a potential chemotherapeutic target for babesiosis.

Download Full-text

Trichostatin A, a potential drug for treatment of animal Babesia infections

Mongolian Journal of Agricultural Sciences ◽

10.5564/mjas.v11i2.210 ◽

2014 ◽

Vol 11 (2) ◽

pp. 24-26 ◽

Cited By ~ 1

Author(s):

T Nyamjargal ◽

N Oshima ◽

X Xuan ◽

I Igarashi ◽

T Munkhjargal ◽

...

Keyword(s):

Trichostatin A ◽

Inhibitory Effect ◽

Babesia Bovis ◽

Babesia Microti ◽

Control Group ◽

Babesia Bigemina ◽

Theileria Equi ◽

Babesia Gibsoni

In the present study, we evaluated the inhibitory effect of trichostatin A on the asexual growth of bovine, equine, and canine Babesia parasites in vitro as well as on the in vivo growth of Babesia microti (B.microti) in mice. The growth of Babesia bovis (B.bovis), Babesia bigemina (B.bigemina), Babesia caballi (B.caballi), Theileria equi (T.equi), and Babesia gibsoni (B.gibsoni) species was significantly inhibited (P < 0.05) by very low concentrations of trichostatin A (IC50 values = 2.6, 2.4, 2.3, 2.4, and 2.3 nM, respectively). Furthermore, in B.microti-infected mice, trichostatin A caused significant higher (P < 0.05) inhibition of the growth of B.microti at the dose of 2 mg/kg body weight than that in the control group. These results indicated the trichostatin A might be a chemotherapeutic agent for treatment of babesiosis. DOI: http://dx.doi.org/10.5564/mjas.v11i2.210 Mongolian Journal of Agricultural Sciences Vol.11(2) 2013 pp.24-26

Download Full-text

Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis

Pathogens ◽

10.3390/pathogens10060660 ◽

2021 ◽

Vol 10 (6) ◽

pp. 660

Author(s):

Stephen J. Goodswen ◽

Paul J. Kennedy ◽

John T. Ellis

Keyword(s):

Machine Learning ◽

Severe Disease ◽

Economic Loss ◽

Babesia Bovis ◽

Training Data ◽

Babesia Bigemina ◽

Bovine Babesiosis ◽

Canine Babesiosis ◽

Clinically Significant ◽

Significant Disease

Babesia infection of red blood cells can cause a severe disease called babesiosis in susceptible hosts. Bovine babesiosis causes global economic loss to the beef and dairy cattle industries, and canine babesiosis is considered a clinically significant disease. Potential therapeutic targets against bovine and canine babesiosis include members of the exportome, i.e., those proteins exported from the parasite into the host red blood cell. We developed three machine learning-derived methods (two novel and one adapted) to predict for every known Babesia bovis, Babesia bigemina, and Babesia canis protein the probability of being an exportome member. Two well-studied apicomplexan-related species, Plasmodium falciparum and Toxoplasma gondii, with extensive experimental evidence on their exportome or excreted/secreted proteins were used as important benchmarks for the three methods. Based on 10-fold cross validation and multiple train–validation–test splits of training data, we expect that over 90% of the predicted probabilities accurately provide a secretory or non-secretory indicator. Only laboratory testing can verify that predicted high exportome membership probabilities are creditable exportome indicators. However, the presented methods at least provide those proteins most worthy of laboratory validation and will ultimately save time and money.

Download Full-text