DIVA metabolomics: Differentiating vaccination status following viral challenge using metabolomic profiles

Technological Tools for the Early Detection of Bovine Respiratory Disease in Farms

Simple Summary

The inclusion of remote automatic systems that use continuous learning technology are of great interest in precision livestock cattle farming, since the average size of farms is increasing while time for individual observation is decreasing. Bovine respiratory disease is a main concern in both fattening and heifer rearing farms due to its impact on antibiotic use, loss of performance, mortality, and animal welfare. Much scientific literature has been published regarding technologies for continuous learning and monitoring of cattle’s behavior and accurate correlation with health status, including early detection of bovine respiratory disease. This review summarizes the up-to-date technologies for early diagnosis of bovine respiratory disease and discusses their advantages and disadvantages under practical conditions.

Abstract

Classically, the diagnosis of respiratory disease in cattle has been based on observation of clinical signs and the behavior of the animals, but this technique can be subjective, time-consuming and labor intensive. It also requires proper training of staff and lacks sensitivity (Se) and specificity (Sp). Furthermore, respiratory disease is diagnosed too late, when the animal already has severe lesions. A total of 104 papers were included in this review. The use of new advanced technologies that allow early diagnosis of diseases using real-time data analysis may be the future of cattle farms. These technologies allow continuous, remote, and objective assessment of animal behavior and diagnosis of bovine respiratory disease with improved Se and Sp. The most commonly used behavioral variables are eating behavior and physical activity. Diagnosis of bovine respiratory disease may experience a significant change with the help of big data combined with machine learning, and may even integrate metabolomics as disease markers. Advanced technologies should not be a substitute for practitioners, farmers or technicians, but could help achieve a much more accurate and earlier diagnosis of respiratory disease and, therefore, reduce the use of antibiotics, increase animal welfare and sustainability of livestock farms. This review aims to familiarize practitioners and farmers with the advantages and disadvantages of the advanced technological diagnostic tools for bovine respiratory disease and introduce recent clinical applications.

Metabolomics Analysis of Viral Therapeutics

Virotherapy, enabled by recent advances in the transdisciplinary field of biotechnology, has emerged as a powerful tool for use in anticancer treatment, gene therapy, immunotherapy, etc. Examining the effects of viruses and virus-derived immune-modulating therapeutics is of great fundamental and clinical interest. Here we describe a sample preparation protocol for metabolite extraction from virus-infected tissue, in addition to liquid chromatography-mass spectrometry conditions essential for subsequent analysis. This metabolomics approach delivers highly sensitive and specific metabolite information on various biospecimens. Such an approach may be adopted to monitor biological changes in over 30 relevant metabolic pathways in response to viral infection and also viral therapeutics.

Profiling of local disease-sparing responses to bovine respiratory syncytial virus in intranasally vaccinated and challenged calves

Bovine and human respiratory syncytial viruses (BRSV, HRSV) are primary causes of pneumonia in calves and children respectively, with vaccination offering protection via antibody and cellular immune responses. However, with no vaccines currently licensed for human use, evaluation of local responses to BRSV vaccination may provide insights to aid the design of effective safe HRSV vaccines. Calves received intranasal single component BRSV vaccine or "3-Way" vaccine (BRSV, Bovine Herpes Virus-1 (BHV-1), Bovine Parainfluenza Virus Type-3 (BPIV-3)), and were BRSV-challenged 42 days post-vaccination. All vaccinates exhibited reduced pulmonary lesioning with elevated anti-BRSV serum IgG, and higher nasal anti-BRSV IgA in 3-Way vaccinates. Thirty-nine proteins associated with homeostatic and immune processes were altered in vaccinates, with enhanced 3-Way vaccinate group proteins associated with Th1/Th2 balance and immunoglobulin class switching. Proteins altered in the pharyngeal tonsil of animals euthanized early related to anti-inflammatory responses and lymphoid tissue remodeling. These findings indicate that multivalent vaccines distinctly modulate local immune responses, with clear correlation between the pharyngeal tonsil proteome profile and resulting immune protection and disease-sparing. This suggests that the efficacy of low-antigenic subunit vaccine components for problematic pathogens such as HRSV could be enhanced by use in combination with existing safe live vaccines. SIGNIFICANCE: This study demonstrates that vaccine valency can alter post-challenge proteome responses within the pharyngeal tonsil, a sentinel site of primary immune responses, with the magnitude of response dependent on antigen formulation. Observed differential responses can be attributed to antigenic material and viral nucleic acid from multivalent formulations providing additional T-cell epitopes and PAMPS. These findings indicate that incorporation of subunits proteins within multivalent formulations containing live virus has the potential to induce/skew a favorable immune response, utilising the natural adjuvanting effects of safe proven live vaccines.