Evaluation of cardiovascular biomarkers and histopathological alterations in cattle naturally infected by Babesia bigemina

2021 ◽  
pp. 105275
Author(s):  
Kamal Rasoulzadeh ◽  
Bijan Esmaeilnejad ◽  
Bahram Dalir-Naghadeh ◽  
Siamak Asri-Rezaei ◽  
Ali-Asghar Tehrani
Keyword(s):  
Babesia Bigemina ◽  
Histopathological Alterations ◽  
Cardiovascular Biomarkers

Have we learnt all from IMPROVE-IT? Part II. Subanalyses on the ef- fects of ezetimibe added to statin therapy on selected clinical and laborato- ry outcomes, cost effectiveness, guideline and clinical implications

2020 ◽  
Vol 18 ◽  
Author(s):  
Zlatko Fras ◽  
Dimitri P. Mikhailidis
Keyword(s):  
Statin Therapy ◽  
Artery Bypass ◽  
Low Density Lipoprotein ◽  
Bypass Graft ◽  
Density Lipoprotein ◽  
Drug Discontinuation ◽  
Atherosclerotic Cardiovascular Disease ◽  
History Of ◽  
Risk Cost ◽  
Cardiovascular Biomarkers

: In this second part of a review of the IMProved Reduction of Outcomes: Vytorin Efficacy International Trial (IMPROVE-IT), we discuss the findings in relation to patients with stroke, the ACS phenotype, history of coronary artery bypass graft surgery, heart failure, concurrent polyvascular atherosclerotic cardiovascular disease (ASCVD) and diabetes mellitus, and different levels of expression of selected cardiovascular biomarkers. The combination therapy was proven safe, and drug discontinuation rates were not increased by adding ezetimibe. Since both statins and ezetimibe are now almost globally generically available, we can conclude that for secondary prevention of ASCVD, adding ezetimibe to high-intensity statin therapy further reduces low-density lipoprotein cholesterol (LDL-C) and cardiovascular risk cost-effectively.

scholarly journals 703 Blood analysis uncovers novel inflammatory, oncologic and cardiovascular biomarkers in psoriasis and Hidradenitis Suppurativa

2021 ◽  
Vol 141 (5) ◽  
pp. S122
Author(s):  
K. Navrazhina ◽  
Y. Renert-Yuval ◽  
J. Frew ◽  
D. Grand ◽  
S. Garcet ◽  
...  
Keyword(s):  
Hidradenitis Suppurativa ◽  
Blood Analysis ◽  
Cardiovascular Biomarkers

scholarly journals Lifestyle-related Education and Counseling Resource Utilization and Cardiovascular Biomarkers in Midlife Women with Low Physical Activity

2021 ◽  
pp. 101401
Author(s):  
Sylvia E. Badon ◽  
Nerissa Nance ◽  
Renee Fogelberg ◽  
Charles Quesenberry ◽  
Monique M. Hedderson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Resource Utilization ◽  
Midlife Women ◽  
Cardiovascular Biomarkers

Vitamin C rescues inflammation, immunosuppression, and histopathological alterations induced by chlorpyrifos in Nile tilapia

2021 ◽  
Author(s):  
Safaa E. Abdo ◽  
Mahmoud S. Gewaily ◽  
Haitham G. Abo-Al-Ela ◽  
Rafa Almeer ◽  
Ali A. Soliman ◽  
...  
Keyword(s):  
Vitamin C ◽  
Nile Tilapia ◽  
Histopathological Alterations

scholarly journals A Comparative Genomic Study of Attenuated and Virulent Strains of Babesia bigemina

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Bernardo Sachman-Ruiz ◽  
Luis Lozano ◽  
José J. Lira ◽  
Grecia Martínez ◽  
Carmen Rojas ◽  
...  
Keyword(s):  
In Vitro Culture ◽  
Virulence Genes ◽  
Laboratory Strain ◽  
Host Cells ◽  
Comparative Genomic ◽  
Local Alignment ◽  
Host Immune System ◽  
Babesia Bigemina ◽  
Genomic Study

Cattle babesiosis is a socio-economically important tick-borne disease caused by Apicomplexa protozoa of the genus Babesia that are obligate intraerythrocytic parasites. The pathogenicity of Babesia parasites for cattle is determined by the interaction with the host immune system and the presence of the parasite’s virulence genes. A Babesia bigemina strain that has been maintained under a microaerophilic stationary phase in in vitro culture conditions for several years in the laboratory lost virulence for the bovine host and the capacity for being transmitted by the tick vector. In this study, we compared the virulome of the in vitro culture attenuated Babesia bigemina strain (S) and the virulent tick transmitted parental Mexican B. bigemina strain (M). Preliminary results obtained by using the Basic Local Alignment Search Tool (BLAST) showed that out of 27 virulence genes described and analyzed in the B. bigemina virulent tick transmitted strain, only five were fully identified in the attenuated laboratory strain. In all cases, the identity and coverture of the identified genes of the wildtype strain were higher than those of the laboratory strain. This finding is putatively associated with the continuous partial loss of virulence genes in the laboratory strain after several passages of the parasite population under optimal in vitro growth conditions. The loss of virulence factors might be reflected in the absence of symptoms of the disease in cattle inoculated with the attenuated strain despite the presence of infection in the bovine host cells.

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

Pathogens ◽  
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.

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