Topic Editors

Dr. Ning Liu
College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
Dr. Zheng Cao
College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
College of Veterinary Medicine, Northwest Agriculture and Forestry University, Xianyang 712100, China

Disease Dynamics in Modern Livestock Production Systems: Prevention and Control Strategies

Abstract submission deadline
31 January 2027
Manuscript submission deadline
31 March 2027
Viewed by
2873

Topic Information

Dear Colleagues,

In modern livestock production, effective prevention and control of inflammatory diseases rely on an integrated strategy, encompassing prevention, diagnosis, and treatment. Systematic preventive measures include environmental management, vaccination, and nutritional regulation. Precise and efficient diagnostics, supported by molecular testing and intelligent monitoring technologies, enable early disease detection and pathogen identification. Targeted treatment employs rationalising drug use, anti-inflammatory therapy, and supportive care to accurately manage the condition while minimising the risk of antimicrobial resistance. The deep integration of these three components constitutes a core pathway for ensuring animal health and promoting the sustainable development of the livestock industry. We welcome prospective authors to contribute Original Research, Review, and Perspective articles covering, but not limited to, the following subtopics:

  1. The mechanisms of the pathogen–host–environment interactions;
  2. The pathogenesis of animal inflammatory diseases;
  3. Early diagnosis of animal inflammatory diseases;
  4. AI for precision diagnosis of animal Inflammation diseases;
  5. New therapeutic strategies for animal inflammatory diseases.

Dr. Ning Liu
Dr. Zheng Cao
Dr. Dong Zhou
Topic Editors

Keywords

  • inflammation
  • therapeutics
  • preventive
  • diagnosis
  • animal

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Animals
animals
3.2 5.5 2011 17.1 Days CHF 2400 Submit
Microorganisms
microorganisms
4.7 8.2 2013 20 Days CHF 2700 Submit
Ruminants
ruminants
2.0 2.9 2021 20.6 Days CHF 1200 Submit
Sci
sci
4.1 5.4 2019 26.7 Days CHF 1400 Submit
Veterinary Sciences
vetsci
2.7 3.9 2014 17.8 Days CHF 2100 Submit

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Published Papers (3 papers)

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23 pages, 4039 KB  
Review
Mapping Variability in Bovine Respiratory Disease Risk Factors in Beef Production Systems: A Scoping Review
by Adeolu Adekunle, Alexcia Gaines, Natalie Estefano, Devyani Lenin, Piyush Hole, Rhythm Khandelwal, Reinaldo Cooke and Karun Kaniyamattam
Animals 2026, 16(11), 1726; https://doi.org/10.3390/ani16111726 - 4 Jun 2026
Viewed by 542
Abstract
This scoping review examines bovine respiratory disease (BRD) risk factors across beef production systems to clarify their contribution to disease occurrence and outcomes and to identify gaps that limit effective prevention. Following the PRISMA-ScR guidelines, eight databases (EBSCOhost, Google Scholar, MDPI, PubMed, ScienceDirect, [...] Read more.
This scoping review examines bovine respiratory disease (BRD) risk factors across beef production systems to clarify their contribution to disease occurrence and outcomes and to identify gaps that limit effective prevention. Following the PRISMA-ScR guidelines, eight databases (EBSCOhost, Google Scholar, MDPI, PubMed, ScienceDirect, Journal of Animal Science, Journal of Dairy Science, and Web of Science) were searched for peer-reviewed studies published between 2004 and 2024, yielding 91 eligible studies from 133 screened articles. Data were charted to assess how BRD risk factors have been investigated across cow–calf, stocker/backgrounding, and feedlot systems and categorized into biological, operational, and environmental domains. Twenty-three major risk factors were identified, with transportation stress and commingling most frequently studied in stocker and feedlot systems, while management-related factors such as vaccination were more commonly emphasized in cow–calf operations. The evidence base was heavily skewed toward feedlot populations (62%), with limited focus on cow–calf (13%) and stocker (7%) systems and few longitudinal studies spanning multiple production stages. Overall, the findings reveal substantial heterogeneity in research emphasis and highlight critical gaps in early-life and cross-stage risk assessment. These findings underscore an urgent need for longitudinal, cross-stage cohort studies and standardized BRD surveillance frameworks to address the early-life evidence gap and provide a foundation for more effective, data-driven, integrated disease prevention strategies. Full article
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15 pages, 3341 KB  
Article
Development and Preliminary Evaluation of an OMP16-Targeting Trivalent Nanobody-HRP-Based cELISA for Serological Detection of Bovine Brucellosis
by Gaowa Wudong, Qing Lu, Yunyi Zhai, Ye Yuan, Xiaofang Liu, Yuanhao Yang, Lu Zhang, Yaping Jin, Dong Zhou and Aihua Wang
Animals 2026, 16(11), 1707; https://doi.org/10.3390/ani16111707 - 3 Jun 2026
Viewed by 789
Abstract
Brucellosis is a globally prevalent zoonotic disease that imposes considerable economic burdens on the livestock industry and remains a significant threat to public health. Although lipopolysaccharide (LPS)-based serological assays are widely used in routine diagnosis, their inherent limitations—particularly cross-reactivity with other Gram-negative bacteria—underscore [...] Read more.
Brucellosis is a globally prevalent zoonotic disease that imposes considerable economic burdens on the livestock industry and remains a significant threat to public health. Although lipopolysaccharide (LPS)-based serological assays are widely used in routine diagnosis, their inherent limitations—particularly cross-reactivity with other Gram-negative bacteria—underscore the need for the development of diagnostic approaches based on non-LPS antigens. In this study, we developed a trivalent nanobody–horseradish peroxidase (3Nbs-HRP) fusion protein targeting Brucella OMP16 and established a cELISA for the serological detection of bovine brucellosis. The diagnostic performance of the assay was assessed using 204 Brucella antibody-negative and 123 Brucella antibody-positive bovine serum samples. ROC curve analysis yielded a sensitivity of 87.7% and a specificity of 89.4%, with no significant cross-reactivity observed. By employing a recombinant antigen and a 3Nbs-HRP probe, this assay enhances biosafety and demonstrates strong potential for standardization and large-scale application, serving as a complementary tool to conventional LPS-based assays for the surveillance, diagnosis, and control of bovine brucellosis. Full article
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12 pages, 1051 KB  
Article
An Immunomagnetic Bead-Based Sandwich ELISA for the Detection of Brucella in Milk
by Gaowa Wudong, Qing Lu, Danyu Zhao, Yong Shi, Yimeng Cui, Yaping Jin, Dong Zhou and Aihua Wang
Animals 2026, 16(9), 1330; https://doi.org/10.3390/ani16091330 - 27 Apr 2026
Viewed by 878
Abstract
Brucellosis is an important zoonotic disease caused by Brucella spp., posing significant impacts on animal health, livestock production, and public health. Infected dairy animals can shed the pathogen in milk, making milk a noninvasive and readily accessible sample for disease surveillance. Therefore, detection [...] Read more.
Brucellosis is an important zoonotic disease caused by Brucella spp., posing significant impacts on animal health, livestock production, and public health. Infected dairy animals can shed the pathogen in milk, making milk a noninvasive and readily accessible sample for disease surveillance. Therefore, detection of Brucella in milk can be used for monitoring brucellosis in dairy herds. In this study, polyclonal antibodies were produced by immunizing camels with lipopolysaccharide (LPS) derived from Brucella abortus vaccine strain 19 (A19). These antibodies were subsequently conjugated to magnetic beads to develop immunomagnetic beads (IMBs). The IMBs were combined with a sandwich ELISA for the enrichment and detection of Brucella in milk samples. The IMB-sELISA showed a limit of detection (LOD) of 1 × 104 CFU/mL. The method reduced matrix interference and showed satisfactory analytical performance. This approach can be applied for on-farm sample screening and herd-level surveillance to support the diagnosis and control of brucellosis in dairy animals. Full article
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