René van den Hoven

Prof. Dr. René van den Hoven

orcid

Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2001 in Vaccine
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Journal Article
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JHJacobus G.M Heldens
Jacobus G.M Heldens
DHDuncan Hannant
Duncan Hannant
ACAnn A Cullinane
Ann A Cullinane
MPMichael J Prendergast
Michael J Prendergast
JMJennifer A Mumford
Jennifer A Mumford
René van den HovenRené van den Hoven
René van den Hoven

1 January 1983 in Equine Veterinary Journal
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Journal Article
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René van den HovenRené van den Hoven
René van den Hoven
PFP. Franken
P. Franken

6 September 2011 in Equine Veterinary Journal
Verified
Journal Article
Closed access
EHE. K. Hainisch
E. K. Hainisch
SBSabine Brandt
Sabine Brandt
SSS. Shafti‐Keramat
S. Shafti‐Keramat
René van den HovenRené van den Hoven
René van den Hoven
RKR. Kirnbauer
R. Kirnbauer

1 September 2014 in Journal of Veterinary Internal Medicine
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Journal Article
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EHEmma Hooijberg
Emma Hooijberg
René van den HovenRené van den Hoven
René van den Hoven
ATA. Tichy
A. Tichy
ISI. Schwendenwein
I. Schwendenwein
Background: A wide spectrum of laboratory tests is available to aid diagnosis and classification of equine inflammatory disease. Objectives: To compare diagnostic efficacy and combined predictive capability of the myeloperoxidase index (MPXI), and plasma fibrinogen, iron and serum amyloid A (SAA) concentrations for the diagnosis of inflammation. Animals: Twenty-six hospitalized horses with systemic inflammation (SI), 114 with local inflammation (LI) and 61 healthy horses or those with noninflammatory disease (NI) were included. Methods: A retrospective study was performed; clinicopathologic data from horses were compared between groups. Receiver-operator characteristic (ROC) curves were used to evaluate diagnostic efficacy; classification and regression tree analysis (CART) and logistic regression analysis were used to generate diagnostic algorithms. Results: Horses with SI had significantly higher SAA than horses with LI (P = .007) and NI (P < .001) and lower iron concentrations than horses with LI (P < .001) and NI (P < .001). Fibrinogen concentration was higher in horses with inflammation than in those without inflammation (P = .002). There was no difference between the SI and LI groups. White blood cell count, neutrophil count and MPXI were similar between groups. SAA had the highest accuracy for diagnosing inflammation (area under ROC curve [AUC], 0.83 ± 0.06) and iron and SAA concentration had the highest accuracy for differentiating SI from LI (AUC, 0.80 ± 0.09 and 0.73 ± 0.10 respectively). Predictive modeling failed to generate useful algorithms and classification of cases was moderate. Conclusions and Clinical Importance: Very high SAA and low iron concentrations may reflect SI, but diagnostic guidelines based on quantitative results of inflammatory markers could not be formulated.

16 December 2019 in Transboundary and Emerging Diseases
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PHPhebe De Heus
Phebe De Heus
JKJolanta Kolodziejek
Jolanta Kolodziejek
JCJeremy V. Camp
Jeremy V. Camp
KDKatharina Dimmel
Katharina Dimmel
ZBZoltán Tibor Bagó
Zoltán Tibor Bagó
Norbert NowotnyNorbert Nowotny
Norbert Nowotny
We report details of the first seven equine cases of confirmed West Nile neuroinvasive disease in Austria. The cases presented during summer and autumn of 2016 (n = 2), 2017 (n = 3) and 2018 (n = 2). All horses showed gait abnormalities and 6 of 7 horses exhibited fasciculations and/or tremors, and we provide video recordings of these. Three horses also showed cranial nerve involvement. Following rapid improvement, three horses were discharged. Four horses were euthanised due to the severity of clinical signs and subjected to neuropathological examination. West Nile virus (WNV) lineage 2 nucleic acid was detected in 5 of 7 horses, and WNV‐specific neutralising antibodies in all 7 horses. In addition, serologic evidence of WNV infection was found in two out of fourteen in‐contact horses. Horses may be considered a sentinel species for human WNV infections, integrating human and veterinary medicine and thus contributing to the one health concept.

16 June 2019 in Animals
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SGSeyed Mohammad Ghoreyshi
Seyed Mohammad Ghoreyshi
BOBesma Omri
Besma Omri
RCRaja CHALGHOUMI
Raja CHALGHOUMI
MBMehrdad Bouyeh
Mehrdad Bouyeh
Alireza SeidaviAlireza Seidavi
Alireza Seidavi
Antonello SantiniAntonello Santini
Antonello Santini
L-carnitine as well as lysine and methionine are amino acids of important nutritional and nutraceutical interest and are used in nutritional strategies as dietary supplements to improve feed quality characteristics in animals and broiler chicken in particular. This study investigated the effect of different levels of L-carnitine and extra levels of lysine-methionine on growth performance, carcass characteristics, and some immune system markers. Two hundred seventy male Ross 308 broilers were a fed control diet (C) and eight different diets supplemented with an excess of amino acids. In the experimental diets, identified as D1, D2, D3, D4, D5, D6, D7, and D8, extra L-carnitine, lysine, and methionine were added in excess with respect to the American National Research Council (NRC) recommendations: L-carnitine equal to NRC (D1), control diet supplemented with lysine at 30% in excess of NRC, methionine at 30% in excess of NRC, and L-carnitine equal to NRC (D2), control diet supplemented with lysine equal to NRC, methionine equal to NRC, and L-carnitine at 15% in excess of NRC (D3), control diet supplemented control diet supplemented with lysine at 15% in excess of NRC, methionine at 15% in excess of NRC, and L-carnitine at 15% in excess of NRC (D4), control diet supplemented lysine at 30% in excess of NRC, methionine at 30% in excess of NRC, and L-carnitine at 15% in excess of NRC (D5), control diet supplemented with lysine equal to NRC recommendations, methionine equal to NRC recommendations, and L-carnitine at 75% in excess of NRC (D6), control diet supplemented with lysine at 15% in excess of NRC, methionine at 15% in excess of NRC, and L-carnitine at 75% in excess of NRC (D7), and control diet supplemented with lysine at 30% in excess of NRC, methionine at 30% in excess of NRC, and L-carnitine at 75% in excess of NRC (D8). During the starter and growth phases, feed intake was not affected by dietary treatment (p > 0.05). By contrast, body weight and FCR were both affected (p < 0.001) during the starter period. During the finisher phase, feed consumption was affected (p < 0.05) by dietary treatment. Feed intake of broilers fed on C, D3, D6, and D7 were statistically similar (p > 0.05) (1851.90, 1862.00, 1945.10, and 1872.80 g/pen/day, respectively) and were higher (p < 0.05) than 1564.40 g/pen/day (D5). With the exception of drumsticks, neck, back thoracic vertebrae, and proventriculus weights, the economical carcass segments were not affected (p > 0.05) by the dietary supplementation of amino acids. Duodenum and ileum weights and lengths decreased with amino acid supplementation (p < 0.05). IgT and IgG titers against Sheep Red Blood Cells (SRBC) for both primary and secondary responses were not affected by dietary treatments (p > 0.05). Dietary amino acids supplementation did not affect IgM titer after the secondary challenge (p > 0.05) and had a significant effect (p < 0.05) on serum antibody titers in broilers vaccinated against Newcastle disease (NCD) and Gumboro ‘s disease at the 27th and 30th days, respectively.