Works Published in 2016

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Displaying works 21 - 40 of 221 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2016 conference paper

Caveats to making in vitro to in vivo and interspecies extrapolations of nanoparticle biological interactions using in silico computational modeling

The 51st Midwest Regional Meeting of the American Chemical Society, 47.

Event: 51st Midwest Regional Meeting of the American Chemical Society at Orlando, FL

Source: NC State University Libraries
Added: February 5, 2022

2016 conference paper

Predicting and modeling in vivo nanoparticle biodistribution: caveats to making in vitro and rodent interspecies extrapolations

11th International Particle Toxicology Conference, 54.

By: J. Riviere & N. Monteiro-Riviere

Event: 11th International Particle Toxicology Conference

Source: NC State University Libraries
Added: February 5, 2022

2016 conference paper

Biological surface adsorption index: environmental applications and parallel molecular dynamics simulations

Proceedings of 8th International Nanotoxicology Conference, 72.

By: R. Chen, J. Comer & J. Riviere

Event: 8th International Nanotoxicology Conference

Source: NC State University Libraries
Added: February 5, 2022

2016 conference paper

Physiological based pharmacokinetic (PBPK) modeling of nanomaterials: Why is quantitation and anatomical / physiological reality so important?

Proceedings of 8th International Nanotoxicology Conference, 385.

Event: 8th International Nanotoxicology Conference

Source: NC State University Libraries
Added: February 5, 2022

2016 journal article

A physiological based pharmacokinetic model for polyethylene glycol-coated gold nanoparticles of different sizes in adult mice

Nanotoxicology, 10, 162–172.

By: Z. Lin, N. Monteiro-Riviere & J. Riviere

Source: NC State University Libraries
Added: February 5, 2022

2016 chapter

Potential mechanism of toxicity of hexahydroisohumulone in an in vitro canine model

Presented at the WINNS 2016 – Growing Science in Pet Nutrition.

By: B. Jeffrey, N. Monteiro-Riviere, D. Mitchel, K. Choi, K. Koci & J. Riviere

Event: WINNS 2016 – Growing Science in Pet Nutrition

Source: NC State University Libraries
Added: February 5, 2022

2016 journal article

Mechanistic toxicity assessment of hexahydroisohumulone in canine hepatocytes, renal proximal tubules, and enterocyte like-cells

The Toxicologist, 150, 487.

By: K. Choi, J. Koci, M. Ortega, B. Jeffery, J. Riviere & N. Monteiro-Riviere

Source: NC State University Libraries
Added: February 5, 2022

2016 journal article

Limitation of MIC as sole metric of pharmacodynamic response across the range of antimicrobial susceptibility within a single bacterial species

Scientific Reports, 6(37907).

By: X. Wen, R. Gehring, A. Stallbaumer & J. Riviere

Source: NC State University Libraries
Added: February 5, 2022

2016 journal article

Oxidative stress response in canine in vitro liver, kidney and intestinal models with seven potential dietary ingredients

Toxicology Letters, 241, 49–59.

By: K. Choi*, M. Ortega*, B. Jeffery, J. Riviere* & N. Monteiro-Riviere*

author keywords: In vitro canine culture systems; Multiple organ-derived cells; Dietary ingredients; Organ-specific oxidative stress
MeSH headings : Animals; Antioxidants / chemistry; Antioxidants / pharmacology; Bone Marrow Cells / drug effects; Bone Marrow Cells / metabolism; Cells, Cultured; Dogs; Dose-Response Relationship, Drug; Food; Food Analysis; Hepatocytes / drug effects; Intestinal Mucosa / metabolism; Intestines / drug effects; Kidney / drug effects; Kidney / metabolism; Kidney Tubules, Proximal / cytology; Kidney Tubules, Proximal / drug effects; Liver / drug effects; Liver / metabolism; Mesenchymal Stem Cells / drug effects; Mesenchymal Stem Cells / metabolism; Oxidants / toxicity; Oxidative Stress / drug effects
TL;DR: The results suggest that organ-specific responses to oxidative stress by these potential prooxidant compounds may implicate a mechanism of their toxicities. (via Semantic Scholar)
Source: Crossref
Added: December 24, 2021

2016 journal article

Toxicological effects of pet food ingredients on canine bone marrow-derived mesenchymal stem cells and enterocyte-like cells

Journal of Applied Toxicology, 36(2), 189–198.

By: M. Ortega*, B. Jeffery, J. Riviere* & N. Monteiro-Riviere*

author keywords: canine; bone marrow stem cells; enterocyte like cells; adult stem cell differentiation; essential oils; cytotoxicity; mesenchymal stem cells; in vitro
MeSH headings : Acrolein / analogs & derivatives; Acrolein / toxicity; Animal Feed / toxicity; Animals; Bone Marrow / drug effects; Citric Acid / toxicity; Clove Oil / toxicity; Cytotoxins / toxicity; Dogs; Enterocytes / drug effects; Eugenol / toxicity; Ginger / toxicity; Guanosine Monophosphate / toxicity; Inosine Monophosphate / toxicity; Mesenchymal Stem Cells / drug effects; Oils, Volatile / toxicity; Pets; Plant Oils / toxicity; Plant Roots / toxicity; Sorbose / toxicity; Thymol / toxicity
TL;DR: These studies provide a baseline against which differential toxicity of dietary feed ingredients can be assessed in vitro for direct effects on canine cells and demonstrate differential toxicity in differentiated cells that represent gastrointestinal epithelial cells. (via Semantic Scholar)
Source: Crossref
Added: December 24, 2021

2016 journal article

Bovine Viral Diarrhoea Virus (BVDV) in Dairy Cattle: A Matched Case-Control Study

Transboundary and Emerging Diseases, 63(1), e1–e13.

By: G. Machado*, R. Egocheaga*, H. Hein*, I. Miranda*, W. Neto*, L. Almeida*, C. Canal*, M. Stein*, L. Corbellini*

Contributors: G. Machado*, R. Egocheaga*, H. Hein*, I. Miranda*, W. Neto*, L. Almeida*, C. Canal*, M. Stein*, L. Corbellini*

author keywords: BVDV; epidemiology; bulk tank milk; risk factor; model building
MeSH headings : Animals; Antibodies, Viral / analysis; Bovine Virus Diarrhea-Mucosal Disease / epidemiology; Bovine Virus Diarrhea-Mucosal Disease / virology; Brazil / epidemiology; Case-Control Studies; Cattle; Cross-Sectional Studies; Diarrhea Viruses, Bovine Viral / classification; Diarrhea Viruses, Bovine Viral / isolation & purification; Milk / virology; Multivariate Analysis; Prevalence; Risk Factors
TL;DR: Estimating herd prevalence and investigating the factors associated with antibodies in bulk tank milk in dairy herds through a matched case-control study recommend the application of grouping predictors as a good choice for model building because it could lead to a better understanding of disease-exposure associations. (via Semantic Scholar)
Source: ORCID
Added: November 27, 2021

2016 journal article

Seroprevalence of pythium insidiosum infection in equine in rio grande do sul, Brazil,Soroprevalência da infecção por pythium insidiosum em equinos no estado do rio grande do sul

Ciencia Rural, 46(1), 126–131.

Contributors: C. Weiblen*, G. Machado*, F. Jesus*, J. Santurio*, R. Zanette*, D. Pereira*, G. Diehl*, L. Dos Santos*, L. Corbellini*, S. Botton*

author keywords: P. insidiosum; antibody; occurrence; horses; ELISA
TL;DR: This study highlights the presence of anti-P. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Source: ORCID
Added: November 27, 2021

2016 journal article

Occurrence of anti-Neospora caninum antibodies in dairy cattle in the western of Santa Catarina, Brazil,Ocorrência de anticorpos anti-Neospora caninum em bovinos leiteiros no oeste do estado de Santa Catarina, Brasil

Revista Brasileira De Medicina Veterinaria, 38(3), 243–249. http://www.scopus.com/inward/record.url?eid=2-s2.0-85017537947&partnerID=MN8TOARS

By: M. Lorenzett, N. Lucca, L. Henker, G. Machado, D. Gomes, R. Mendes, D. Driemeier, R. Casagrande

Contributors: M. Lorenzett, N. Lucca, L. Henker, G. Machado, D. Gomes, R. Mendes, D. Driemeier, R. Casagrande

Source: ORCID
Added: November 27, 2021

2016 journal article

Influence of subclinical infection by agents of tick fever in milking dairy cows,Influencia de la infección subclínica por agentes de la fiebre por garrapatas en vacas lecheras

Revista MVZ Cordoba, 21(3), 5490–5499.

By: R. Pazinato*, G. Machado*, V. Klauck*, W. Radavelli*, J. Boito*, P. Weis*, L. Miletti*, M. Baldissera* ...

Contributors: R. Pazinato*, G. Machado*, V. Klauck*, W. Radavelli*, J. Boito*, P. Weis*, L. Miletti*, M. Baldissera* ...

TL;DR: It is concluded that the presence of at least one of these parasites in dairy cattle affects composition or quality of their milk. (via Semantic Scholar)
Source: ORCID
Added: November 27, 2021

2016 journal article

Gastrointestinal parasites in dairy cows present in farm show in western Santa Catarina, Brazil,Parasitos Gastrintestinais Em Vacas Leiteiras Presentes Em Exposições Agropecuárias Na Região Oeste De Santa Catarina, Brasil

Acta Veterinaria Brasilica, 10(4), 373–377. http://www.scopus.com/inward/record.url?eid=2-s2.0-85007044951&partnerID=MN8TOARS

By: N. Soldá, A. Da Silva, P. Glombowsky, M. Chiocca, D. De Cordova Cucco, T. Oliveira, G. Machado

Contributors: N. Soldá, A. Da Silva, P. Glombowsky, M. Chiocca, D. De Cordova Cucco, T. Oliveira, G. Machado

Source: ORCID
Added: November 27, 2021

2016 journal article

Protocol for diversion of confirmed positive bulk raw milk tankers to calf ranches – A review of the Pharmacokinetics of tetracyclines and sulfonamides in veal calves

Animal Health Research Reviews, 17(2), 127–136.

By: K. DeDonder*, R. Gehring*, L. Tell* & J. Riviere*

author keywords: tetracycline; chlortetracycline; oxytetracycline; sulfonamide; veal; residue; discard milk
MeSH headings : Animals; Anti-Bacterial Agents; Cattle / metabolism; Drug Residues; Milk / chemistry; Sulfonamides / pharmacokinetics; Tetracyclines / chemistry; Tetracyclines / pharmacokinetics
TL;DR: The suggested withdrawal interval of 20 days will ensure that no veal calves will test positive for residues from being fed this milk, and will provide a residue avoidance strategy for TTC and sulfonamide residues in veal. (via Semantic Scholar)
Source: Crossref
Added: October 1, 2021

2016 journal article

Exploring Post-Treatment Reversion of Antimicrobial Resistance in Enteric Bacteria of Food Animals as a Resistance Mitigation Strategy

Foodborne Pathogens and Disease, 13(11), 610–617.

author keywords: pre-harvest food safety; antimicrobial use in livestock; antimicrobial resistance in bacteria of animal origin; antimicrobial resistance ecology; population pharmacokinetics
MeSH headings : Animals; Anti-Infective Agents / adverse effects; Anti-Infective Agents / pharmacokinetics; Anti-Infective Agents / therapeutic use; Drug Residues / standards; Drug Residues / toxicity; Drug Resistance, Bacterial; Drug Resistance, Multiple, Bacterial; Enterobacteriaceae / drug effects; Enterobacteriaceae / growth & development; Enterobacteriaceae / isolation & purification; Enterobacteriaceae Infections / drug therapy; Enterobacteriaceae Infections / microbiology; Enterobacteriaceae Infections / prevention & control; Enterobacteriaceae Infections / veterinary; Escherichia coli / drug effects; Escherichia coli / growth & development; Escherichia coli / isolation & purification; Escherichia coli Infections / drug therapy; Escherichia coli Infections / microbiology; Escherichia coli Infections / prevention & control; Escherichia coli Infections / veterinary; Evidence-Based Practice; Feces / microbiology; Food Contamination / prevention & control; Food Safety; Foodborne Diseases / drug therapy; Foodborne Diseases / microbiology; Foodborne Diseases / prevention & control; Guidelines as Topic; Humans; Livestock / growth & development; Livestock / microbiology; Secondary Prevention / standards; Tissue Distribution
TL;DR: It is hypothesize that it is possible to define the distribution of the time period after treatment within which resistance to the administered drug, and possibly other drugs in case of coselection, in fecal bacteria of the treated animals returns to the background pre-treatment levels. (via Semantic Scholar)
Source: Crossref
Added: October 1, 2021

2016 journal article

Mathematical modeling and simulation in animal health – Part II : principles, methods, applications, and value of physiologically based pharmacokinetic modeling in veterinary medicine and food safety assessment

Journal of Veterinary Pharmacology and Therapeutics, 39(5), 421–438.

MeSH headings : Animals; Food Safety / methods; Models, Statistical; Pharmacokinetics; Veterinary Medicine / methods; Veterinary Medicine / statistics & numerical data
TL;DR: This review provides a comprehensive summary of PBPK modeling principles, model development methodology, and the current applications in veterinary medicine, with a focus on predictions of drug tissue residues and withdrawal times in food-producing animals. (via Semantic Scholar)
Source: Crossref
Added: October 1, 2021

2016 journal article

Quantification of nanoparticle pesticide adsorption: computational approaches based on experimental data

Nanotoxicology, 10(8), 1118–1128.

author keywords: BSAI; in situ characterization; nanoparticles; pesticide; surface physicochemistry
MeSH headings : Adsorption; Models, Theoretical; Nanoparticles / analysis; Nanoparticles / chemistry; Neural Networks, Computer; Pesticides / analysis; Pesticides / chemistry; Principal Component Analysis; Surface Properties
TL;DR: The first attempt of the application of such quantitative measures toward environmental endpoints by analyzing the interactions of a selected group of nanomaterials with a variety of pesticides was made and quantitative computational approaches support theApplication of BSAI modeling in the area of environmental contamINANt detection and remediation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: Crossref
Added: October 1, 2021

2016 journal article

Mathematical modeling and simulation in animal health. Part I: Moving beyond pharmacokinetics

Journal of Veterinary Pharmacology and Therapeutics, 39(3), 213–223.

By: J. Riviere*, J. Gabrielsson*, M. Fink* & J. Mochel*

MeSH headings : Animals; Computer Simulation; Models, Biological; Veterinary Drugs / pharmacokinetics
TL;DR: Concepts and approaches to modeling and simulation based on solid physiological and pharmacological principles as well as adhering to the limitations that are fundamental to applying mathematical and statistical models to biological systems are introduced. (via Semantic Scholar)
Source: Crossref
Added: October 1, 2021

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