Bovine Respiratory Disease Diagnosis

Pardon, Bart; Buczinski, Sébastien

doi:10.1016/j.cvfa.2020.03.005

Cited by 51 publications

(35 citation statements)

References 62 publications

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“…Bovine respiratory disease is multifactorial ( Taylor et al, 2010 ), and etiological diagnosis of BRD is difficult if not impossible to reach in a field setting ( Pardon and Buczinski, 2020 ). Major BRD pathogens such as Mannheimia haemolytica , P. multocida , Haemophilus somnus , or Mycoplasma bovis can be isolated from both healthy and sick animals ( Angen et al, 2009 ; Timsit et al, 2017 , 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Whole-Blood Transcriptome Analysis of Feedlot Cattle With and Without Bovine Respiratory Disease

et al. 2021

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Bovine respiratory disease (BRD) is one of the main factors leading to morbidity and mortality in feedlot operations in North America. A complex of viral and bacterial pathogens can individually or collectively establish BRD in cattle, and to date, most disease characterization studies using transcriptomic techniques examine bronchoalveolar and transtracheal fluids, lymph node, and lung tissue as well as nasopharyngeal swabs, with limited studies investigating the whole-blood transcriptome. Here, we aimed to identify differentially expressed (DE) genes involved in the host immune response to BRD using whole blood and RNA sequencing. Samples were collected from heifers (average arrival weight = 215.0 ± 5.3 kg) with (n = 25) and without (n = 18) BRD at a commercial feedlot in Western Canada. RNAseq analysis showed a distinct whole-blood transcriptome profile between BRD and non-BRD heifers. Further examination of the DE genes revealed that those involved in the host inflammatory response and infectious disease pathways were enriched in the BRD animals, while gene networks associated with metabolism and cell growth and maintenance were downregulated. Overall, the transcriptome profile derived from whole blood provided evidence that a distinct antimicrobial peptide-driven host immune response was occurring in the animals with BRD. The blood transcriptome of the BRD animals shows similarities to the transcriptome profiles obtained from lung and bronchial lymph nodes in other studies. This suggests that the blood transcriptome is a potential diagnostic tool for the identification of biomarkers of BRD infection and can be measured in live animals and used to further understand infection and disease in cattle. It may also provide a useful tool to increase the understanding of the genes involved in establishing BRD in beef cattle and be used to investigate potential therapeutic applications.

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Section: Discussionmentioning

confidence: 99%

Whole-Blood Transcriptome Analysis of Feedlot Cattle With and Without Bovine Respiratory Disease

et al. 2021

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“…BRD involves a group of heterogeneous pathologies (from rhinitis to severe pneumonia) [ 1 , 9 , 10 ], caused by a combination of genetic factors [ 11 , 12 ], physiological stressors (disturbances in feeding, microclimate parameters, transportation, regrouping, etc.) [ 13 , 14 , 15 ], and infectious agents [ 16 , 17 ], many of which may, however, be natural inhabitants of the respiratory tract in calves [ 16 , 18 , 19 ]. The complex nature of BRD and the absence of a universal “gold standard” decrease the probability to diagnose the BRD in a timely manner [ 10 , 20 ], as well as the development of optimal treatment and prevention regimens for BRD [ 4 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Кучменко

Шуба

Умарханов

et al. 2021

Veterinary Sciences

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The paper demonstrates a new approach to identify healthy calves (“healthy”) and naturally occurring infectious bronchopneumonia (“sick”) calves by analysis of the gaseous phase over nasal secretions using 16 piezoelectric sensors in two portable devices. Samples of nasal secretions were obtained from 50 red-motley Holstein calves aged 14–42 days. Calves were subjected to rectal temperature measurements, clinical score according to the Wisconsin respiratory scoring chart, thoracic auscultation, and radiography (Carestream DR, New York, USA). Of the 50 calves, we included samples from 40 (20 “healthy” and 20 “sick”) in the training sample. The remaining ten calves (five “healthy” and five “sick”) were included in the test sample. It was possible to divide calves into “healthy” and “sick” groups according to the output data of the sensor arrays (maximum sensor signals and calculated parameters Ai/j) using the principal component linear discriminant analysis (PCA–LDA) with an accuracy of 100%. The adequacy of the PCA–LDA model was verified on a test sample. It was found that data of sensors with films of carbon nanotubes, zirconium nitrate, hydroxyapatite, methyl orange, bromocresol green, and Triton X-100 had the most significance for dividing samples into groups. The differences in the composition of the gaseous phase over the samples of nasal secretions for such a classification could be explained by the appearance or change in the concentrations of ketones, alcohols, organic carboxylic acids, aldehydes, amines, including cyclic amines or those with a branched hydrocarbon chain.

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“…Therefore, to prove that serum Fe concentration is a reliable inflammatory marker of BRD in beef cows, further studies on the relationship between serum Fe level and severity of BRD are required. While, diagnostic tests to identify pathogens involved in cows with BRD also help to understand severity [ 22 ]. Serum HPT and SAA response in coinfections with virus and bacteria is greater when compared to pure virus infections, and the magnitude of the response correlated well with the severity of the clinical signs [ 10 , 11 ].…”

mentioning

confidence: 99%

Serum iron concentration is candidate inflammatory marker for respiratory diseases in beef cows

Tsukano

Fukuda

Ikeda

et al. 2021

The Journal of Veterinary Medical Science

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We hypothesized that the serum iron (Fe) concentration in cows with respiratory diseases is a satisfactory substitute for major inflammatory markers such as haptoglobin (HPT) and serum amyloid A (SAA). Twenty Japanese Black cows aged 279.6 ± 120.0 days were enrolled, and divided into respiratory diseases and control groups based on the presence of clinical findings of respiratory diseases. As a result, area under the receiver operating characteristic curves for plasma HPT, SAA and serum Fe concentrations for respiratory disease-associated systemic inflammation were excellent, at 1.00, 0.96 and 0.97, respectively. Therefore we confirmed that the serum Fe concentration is a satisfactory substitute for HPT and SAA in beef cows with respiratory diseases.

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Bovine Respiratory Disease Diagnosis

Cited by 51 publications

References 62 publications

Whole-Blood Transcriptome Analysis of Feedlot Cattle With and Without Bovine Respiratory Disease

Whole-Blood Transcriptome Analysis of Feedlot Cattle With and Without Bovine Respiratory Disease

Portable Electronic Nose for Analyzing the Smell of Nasal Secretions in Calves: Toward Noninvasive Diagnosis of Infectious Bronchopneumonia

Serum iron concentration is candidate inflammatory marker for respiratory diseases in beef cows

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