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28 pages, 854 KiB  
Review
H5N1 Avian Influenza: A Narrative Review of Scientific Advances and Global Policy Challenges
by Alison Simancas-Racines, Claudia Reytor-González, Melannie Toral and Daniel Simancas-Racines
Viruses 2025, 17(7), 927; https://doi.org/10.3390/v17070927 - 29 Jun 2025
Viewed by 642
Abstract
The H5N1 avian influenza virus continues to evolve into genetically diverse and highly pathogenic clades with increased potential for cross-species transmission. Recent scientific advances have included the development of next-generation vaccine platforms, promising antiviral compounds, and more sensitive diagnostic tools, alongside strengthened surveillance [...] Read more.
The H5N1 avian influenza virus continues to evolve into genetically diverse and highly pathogenic clades with increased potential for cross-species transmission. Recent scientific advances have included the development of next-generation vaccine platforms, promising antiviral compounds, and more sensitive diagnostic tools, alongside strengthened surveillance systems in both animals and humans. However, persistent structural challenges hinder global readiness. Vaccine production is heavily concentrated in high-income countries, limiting equitable access during potential pandemics. Economic and logistical barriers complicate the implementation of control strategies such as vaccination, culling, and compensation schemes. Gaps in international coordination, public communication, and standardization of protocols further exacerbate vulnerabilities. Although sustained human-to-human transmission has not been documented, the severity of confirmed infections and the rapid global spread among wildlife and domestic animals underscore the urgent need for robust preparedness. International organizations have called for comprehensive pandemic response plans, enhanced multisectoral collaboration, and investment in targeted research. Priorities include expanding surveillance to asymptomatic animal hosts, evaluating viral shedding and transmission routes, and developing strain-specific and universal vaccines. Strengthening global cooperation and public health infrastructure will be critical to mitigate the growing threat of H5N1 and reduce the risk of a future influenza pandemic. Full article
(This article belongs to the Special Issue Controlling Zoonotic Viral Diseases from One Health Perspective 2025)
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31 pages, 1280 KiB  
Article
Effective Control Strategies for Sex-Structured Transmission Dynamics of Visceral Leishmaniasis
by Temesgen Debas Awoke, Semu Mitiku Kassa, Kgomotso Susan Morupisi and Gizaw Mengistu Tsidu
Mathematics 2025, 13(12), 1929; https://doi.org/10.3390/math13121929 - 10 Jun 2025
Viewed by 371
Abstract
Visceral leishmaniasis (VL), a chronic disease caused by Leishmania infantum, is more prevalent in males than females. Control strategies that do not take this disparity into account can be suboptimal. We extended a sex-structured VL model by introducing four control variables: insecticide-treated bed [...] Read more.
Visceral leishmaniasis (VL), a chronic disease caused by Leishmania infantum, is more prevalent in males than females. Control strategies that do not take this disparity into account can be suboptimal. We extended a sex-structured VL model by introducing four control variables: insecticide-treated bed nets, vector control, medical treatment, and animal culling. The study evaluates six intervention strategies and calculates the incremental cost-effectiveness ratio to assess their impact on disease transmission and cost-effectiveness. The analysis shows that, without interventions, the disease remains endemic with significant health and socioeconomic consequences. The proposed strategy, which applies all four controls, emerges as the most effective and cost-efficient strategy, leading to an exponential reduction in disease prevalence across human, vector, and animal populations. Strategies without animal culling and vector control followed in effectiveness. Moreover, it was found that applying up to 50% of the controls to females, compared to males, can still eliminate VL within the planning period. Full article
(This article belongs to the Special Issue Mathematical Modeling in Epidemiology and Dynamical Systems Theory)
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13 pages, 1386 KiB  
Article
The Impact of Bacillus Calmette–Guérin Vaccination and Mycobacterium bovis Infection on Diagnostic Antibody Tests for Mycobacterial Infections
by Thomas Holder, Nick Robinson and Gareth J. Jones
Vaccines 2025, 13(6), 578; https://doi.org/10.3390/vaccines13060578 - 28 May 2025
Viewed by 520
Abstract
Background: Bovine tuberculosis (bTB) is an infectious disease which causes significant damage to the farming industry and remains a disease of global significance. Although control strategies have focused on a test and cull approach primarily based around specific cell-mediated immune responses, serological assays [...] Read more.
Background: Bovine tuberculosis (bTB) is an infectious disease which causes significant damage to the farming industry and remains a disease of global significance. Although control strategies have focused on a test and cull approach primarily based around specific cell-mediated immune responses, serological assays are increasingly being used as a supplementary test alongside skin testing and interferon-gamma release (IGRA) assays. The UK is moving towards the use of the Bacillus Calmette–Guérin (BCG) vaccination of cattle as an additional targeted control tool against bTB. However, there are concerns over its potential impact on the outcomes of bTB diagnostic tests and other non-TB assays, such as serological tests for Mycobacterium avium subsp. paratuberculosis (MAP). Methods: We investigated the performance of commercially available serology tests designed to detect bTB and MAP using serum samples from BCG-vaccinated animals which were subsequently infected with Mycobacterium bovis (M. bovis). Results: BCG vaccination per se did not significantly impact the specificity of serological diagnostic tests for bTB or Johne’s disease. However, increased numbers of false-positive responses in bTB serology tests were seen in BCG-vaccinated animals 3 weeks following a tuberculin skin test, where up to 23% and 54% of animals gave a positive result in IDEXX and Enferplex tests, respectively. Furthermore, M. bovis infection gave rise to false-positive test results for Johne’s disease, irrespective of the animals’ prior BCG vaccination status. Conclusions: Caution should be taken when assessing results from serology tests for bTB if tuberculin skin testing has occurred shortly before collection of blood from BCG-vaccinated cattle. Furthermore, these results highlight the potential for misdiagnosis of MAP infection when using serology tests in bTB-infected cattle. Full article
(This article belongs to the Special Issue Infectious Diseases and Immunization in Animals)
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14 pages, 267 KiB  
Review
Bovine Leukemia Virus: Origin, Prevalence, Phylogenetic Diversity, Risk Factors, and Strategies for Control
by Yuxi Zhao, Jiandong Wang, Jianguo Chen, Yingyu Chen, Changmin Hu, Xi Chen and Aizhen Guo
Animals 2025, 15(9), 1344; https://doi.org/10.3390/ani15091344 - 7 May 2025
Viewed by 958
Abstract
Bovine leukemia virus (BLV) is classified as a Deltaretrovirus and shows close genomic and biological similarities with human T-cell leukemia viruses (HTLVs). It serves as the etiological agent for enzootic bovine leukosis (EBL), which stands as the most prevalent neoplastic disease affecting cattle [...] Read more.
Bovine leukemia virus (BLV) is classified as a Deltaretrovirus and shows close genomic and biological similarities with human T-cell leukemia viruses (HTLVs). It serves as the etiological agent for enzootic bovine leukosis (EBL), which stands as the most prevalent neoplastic disease affecting cattle globally. Additionally, BLV has been identified as a potential zoonotic pathogen, although the risk to human health remains a subject of ongoing research. The insidious nature of BLV lies in its predominantly subclinical presentation; the majority of BLV-infected cattle show no apparent symptoms. This subclinical nature poses challenges for disease detection and control, as infected animals can remain unnoticed carriers, contributing to the silent spread of the virus within herds. This characteristic also underscores the importance of surveillance and early detection strategies to monitor BLV prevalence and mitigate its spread. Despite concerted efforts in some regions to implement eradication programs, BLV continues to maintain a high prevalence worldwide. The persistence of BLV in cattle populations highlights the need for innovative and integrated approaches to control and manage the disease effectively. The development of a BLV vaccine represents a significant breakthrough in the fight against BLV transmission. A successful vaccine can not only reduce the incidence of BLV infection but also minimize the associated economic losses linked to reduced milk production, reproductive issues, and the premature culling of infected animals. Therefore, a comprehensive understanding of BLV, encompassing its origin, evolutionary patterns, epidemiology, risk factors, and control strategies, is pivotal. Such knowledge serves as the foundation for the development of effective vaccines, diagnostic tools, and control measures. Through this review, we aim to consolidate and present this multifaceted understanding of BLV, providing valuable insights and guidance for researchers, veterinarians, and policymakers involved in BLV prevention and control efforts globally. Full article
(This article belongs to the Section Cattle)
23 pages, 4817 KiB  
Article
Enhancing Sustainable Herd Structure Management in Thai Dairy Cooperatives Through Dynamic Programming Optimization
by Thana Sarttra and Tossapol Kiatcharoenpol
Sustainability 2025, 17(9), 3894; https://doi.org/10.3390/su17093894 - 25 Apr 2025
Cited by 1 | Viewed by 577
Abstract
Herd management plays a vital role in boosting the productivity, profitability, and sustainability of dairy cooperatives, particularly in developing countries where smallholder farmers are prevalent and have limited access to modern farming technologies. This research presents a dynamic programming (DP) model aimed at [...] Read more.
Herd management plays a vital role in boosting the productivity, profitability, and sustainability of dairy cooperatives, particularly in developing countries where smallholder farmers are prevalent and have limited access to modern farming technologies. This research presents a dynamic programming (DP) model aimed at helping dairy cooperatives optimize decisions regarding herd structure, specifically focusing on strategies for culling and replacement to match milk supply with varying market demands. The model considers essential traits of dairy cows, including age, milk production, and reproductive condition, to ascertain the best transitions within the herd over several periods. Findings indicate that implementing the proposed DP model can effectively align milk output with fluctuating demand, decrease the gap between supply and demand, and enhance overall herd productivity. While this study uses Thai dairy cooperatives as a case study, the developed model and its insights are relevant to similar smallholder dairy systems in other developing countries, thereby aiding improved decision-making and promoting sustainable herd management practices worldwide. Full article
(This article belongs to the Section Sustainable Management)
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11 pages, 237 KiB  
Article
Twinning in Italian Holstein Cows: A Retrospective Study on Risk Factors and Its Associations with Milk Production, Fertility, and Survival
by Marcello Guadagnini, Paola Amodeo, Agostino Bolli and Monica Probo
Vet. Sci. 2025, 12(4), 353; https://doi.org/10.3390/vetsci12040353 - 10 Apr 2025
Viewed by 592
Abstract
Twinning in cattle is an increasingly common reproductive phenomenon that has significant implications for herd productivity and animal welfare. This retrospective study aimed to assess the occurrence rate of twinning (TW) in Italian Holstein multiparous cows and to identify the associated risk factors [...] Read more.
Twinning in cattle is an increasingly common reproductive phenomenon that has significant implications for herd productivity and animal welfare. This retrospective study aimed to assess the occurrence rate of twinning (TW) in Italian Holstein multiparous cows and to identify the associated risk factors and consequences with respect to fertility, milk production, and cow survival. Data from 44,535 calvings across 61 Italian dairy farms from January 2019 to December 2020 were analyzed. The overall TW rate was found to be 3.79%, affected by factors such as parity (p < 0.0001), season of conception (p < 0.0001), previous lactation 305-day mature equivalent (p < 0.05), and prior days open (p < 0.0001). Cows experiencing TW had significantly shorter gestation lengths (p < 0.0001) compared to singletons and lower 305-day milk production estimates (11,094 kg for TW vs. 11,295 kg for singleton females and 11,318 kg for singleton males) (p < 0.0001). Moreover, TW was linked to a decreased pregnancy risk and an increased risk of culling (p < 0.0001) both in short- and long-term analysis. These findings underline the need for targeted management strategies to mitigate the adverse effects of twinning in dairy herds, especially where TW rates are notably high. Full article
(This article belongs to the Section Veterinary Reproduction and Obstetrics)
22 pages, 4078 KiB  
Review
Epidemiology and Control of African Swine Fever in Vietnam: A Scoping Review
by Vo Dinh Chuong, Rachel A. Schambow, Nguyen Thi Diep, Phan Quang Minh, Nguyen Van Long, Bui Thi To Nga and Andres M. Perez
Pathogens 2025, 14(4), 329; https://doi.org/10.3390/pathogens14040329 - 29 Mar 2025
Cited by 1 | Viewed by 2621
Abstract
African swine fever (ASF) has had a devastating impact on Vietnam’s swine industry since its introduction in Vietnam in 2019, leading to the culling of six million pigs. This paper aimed to review the epidemiological dynamics of ASF in Vietnam and measures applied [...] Read more.
African swine fever (ASF) has had a devastating impact on Vietnam’s swine industry since its introduction in Vietnam in 2019, leading to the culling of six million pigs. This paper aimed to review the epidemiological dynamics of ASF in Vietnam and measures applied to control the disease. ASF progressed through an initial epidemic phase (2019–2020) and has transitioned into a more endemic phase (2021–2024). The disease spread rapidly during the epidemic phase, driven by human-mediated transmission routes and inadequate biosecurity practices, particularly on smallholder farms. To control ASF, the Vietnamese government endorsed a national control plan that included biosecurity enhancements, disease surveillance, establishing ASF-free compartments, researching and evaluating ASF vaccines, and strengthening the capacity of veterinary services. While these measures have helped reduce the number of outbreaks, challenges persist, including the emergence of recombinant ASF strains, limited vaccine adoption, and gaps in the veterinary infrastructure. ASF has substantially changed Vietnam’s swine industry, shifting toward reducing small-scale household farming and increasing professional households and large-scale farms. As ASF has transitioned into an endemic phase, sustainable strategies focusing on continuous monitoring, improved vaccination coverage, and education programs are essential in order to mitigate its impacts and ensure the resilience of Vietnam’s swine industry. Full article
(This article belongs to the Section Viral Pathogens)
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27 pages, 1758 KiB  
Article
Social Perceptions and Attitudes Towards Free-Roaming Cats and Dogs in Portugal: An Exploratory Study
by Alexandre Azevedo, Filipa Peste, Paloma Linck, João Carvalho, Danielle Crawshaw, Eduardo Ferreira, Rita Tinoco Torres and Victor Bandeira
Animals 2025, 15(6), 771; https://doi.org/10.3390/ani15060771 - 8 Mar 2025
Viewed by 1047
Abstract
Free-roaming cats and dogs impact biodiversity, public health, and the welfare of other animals. Attitudes towards free-roaming animals can influence their population dynamics and management success. We conducted an online survey to evaluate social perceptions and attitudes towards free-roaming animals among self-selected Portuguese [...] Read more.
Free-roaming cats and dogs impact biodiversity, public health, and the welfare of other animals. Attitudes towards free-roaming animals can influence their population dynamics and management success. We conducted an online survey to evaluate social perceptions and attitudes towards free-roaming animals among self-selected Portuguese residents aged 18 or older with internet access. The survey focused on responsible ownership, perceptions and attitudes, and management practices, and allowed the collection and analysis of 1083 responses (607 for dogs and 476 for cats). Our results identified needs for improvement in pet ownership: increasing pet cat identification, reducing unsupervised outdoor access, and promoting pet dog sterilization. In terms of management strategies, we found strong support for trap–neuter–release, sheltering, sanctions on abandonment, and educational campaigns. We also found limited support for lethal control methods and fear of culling and long-term caging as barriers to reporting free-roaming animals. While our findings are based on a self-selected online sample, they establish a foundation for future research while also offering valuable guidance for policymakers and stakeholders. Full article
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13 pages, 1373 KiB  
Article
Modelling the Spread of Foot and Mouth Disease in Different Livestock Settings in Italy to Assess the Cost Effectiveness of Potential Control Strategies
by Michele Pesciaroli, Alessandro Bellato, Alessandra Scaburri, Annalisa Santi, Alessandro Mannelli and Silvia Bellini
Animals 2025, 15(3), 386; https://doi.org/10.3390/ani15030386 - 29 Jan 2025
Cited by 1 | Viewed by 1728
Abstract
Foot and Mouth disease (FMD) transmission is strongly related to the distribution and density of FMD-susceptible animals. In this study, we applied a model to simulate the spread of FMD in three Italian regions with different livestock demographics (densely, medium, and sparsely populated) [...] Read more.
Foot and Mouth disease (FMD) transmission is strongly related to the distribution and density of FMD-susceptible animals. In this study, we applied a model to simulate the spread of FMD in three Italian regions with different livestock demographics (densely, medium, and sparsely populated) in order to assess the cost effectiveness of the disease control options within the framework of the Italian contingency plan. The results of the simulations showed that stamping-out was sufficient to control the outbreak in the sparsely and medium populated areas whereas, in densely populated areas, only vaccinations could effectively control an outbreak. We also estimated the economic resources needed for the adoption of different control strategies, considering livestock indemnity, cleaning, disinfection and disposal, surveillance, vaccination and personnel costs. The results obtained showed that indemnity due to culling had the highest impact on the costs in all scenarios and vaccination resulted in the most cost-effective option to apply in densely populated livestock areas. The results of this study can be a useful aid to Competent Authorities in the preparation of contingency plans against FMD. Full article
(This article belongs to the Section Animal System and Management)
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21 pages, 2178 KiB  
Article
Evolution of Sow Productivity and Evaluation Parameters: Spanish Farms as a Benchmark
by Santos Sanz-Fernández, Pablo Rodríguez-Hernández, Cipriano Díaz-Gaona, Llibertat Tusell, Raquel Quintanilla and Vicente Rodríguez-Estévez
Vet. Sci. 2024, 11(12), 626; https://doi.org/10.3390/vetsci11120626 - 6 Dec 2024
Cited by 2 | Viewed by 2165
Abstract
This study examines the global evolution of sow productivity, with a particular focus on Spain. The analysis is based on key performance metrics such as piglets weaned per sow per year (PWSY), prolificacy, and pre-weaning mortality, utilizing data from literature reviews, the InterPIG, [...] Read more.
This study examines the global evolution of sow productivity, with a particular focus on Spain. The analysis is based on key performance metrics such as piglets weaned per sow per year (PWSY), prolificacy, and pre-weaning mortality, utilizing data from literature reviews, the InterPIG, and BDporc® databases. Globally, significant advancements in genetic selection and management practices have led to productivity increases across major pig-producing countries, with notable improvements in prolificacy. However, higher prolificacy has been accompanied by rising piglet mortality rates during lactation, posing sustainability challenges. In Spain, the average productivity of commercial sows increased from 23.78 PWSY in 2009 to 29.45 PWSY in 2023, while Iberian sows reached an average of 17.44 PWSY. Despite these gains, Spain’s figures remain slightly below the European Union average. The study highlights the need for new benchmarks, such as non-productive days, piglet survival, and sow longevity, to more accurately assess farm efficiency. These indicators, combined with considerations for animal welfare and environmental sustainability, are crucial for addressing current challenges such as piglet mortality, sow culling, and the carbon footprint. The findings emphasize the importance of adopting comprehensive management strategies that balance productivity with growing social and environmental demands on the swine industry. Full article
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22 pages, 12893 KiB  
Article
Research on Visual–Inertial Measurement Unit Fusion Simultaneous Localization and Mapping Algorithm for Complex Terrain in Open-Pit Mines
by Yuanbin Xiao, Wubin Xu, Bing Li, Hanwen Zhang, Bo Xu and Weixin Zhou
Sensors 2024, 24(22), 7360; https://doi.org/10.3390/s24227360 - 18 Nov 2024
Viewed by 1322
Abstract
As mining technology advances, intelligent robots in open-pit mining require precise localization and digital maps. Nonetheless, significant pitch variations, uneven highways, and rocky surfaces with minimal texture present substantial challenges to the precision of feature extraction and positioning in traditional visual SLAM systems, [...] Read more.
As mining technology advances, intelligent robots in open-pit mining require precise localization and digital maps. Nonetheless, significant pitch variations, uneven highways, and rocky surfaces with minimal texture present substantial challenges to the precision of feature extraction and positioning in traditional visual SLAM systems, owing to the intricate terrain features of open-pit mines. This study proposes an improved SLAM technique that integrates visual and Inertial Measurement Unit (IMU) data to address these challenges. The method incorporates a point–line feature fusion matching strategy to enhance the quality and stability of line feature extraction. It integrates an enhanced Line Segment Detection (LSD) algorithm with short segment culling and approximate line merging techniques. The combination of IMU pre-integration and visual feature restrictions is executed inside a tightly coupled visual–inertial framework utilizing a sliding window approach for back-end optimization, enhancing system robustness and precision. Experimental results demonstrate that the suggested method improves RMSE accuracy by 36.62% and 26.88% on the MH and VR sequences of the EuRoC dataset, respectively, compared to ORB-SLAM3. The improved SLAM system significantly reduces trajectory drift in the simulated open-pit mining tests, improving localization accuracy by 40.62% and 61.32%. The results indicate that the proposed method demonstrates significance. Full article
(This article belongs to the Section Sensors and Robotics)
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14 pages, 3575 KiB  
Article
Microbiome and Microbial Pure Culture Study Reveal Commensal Microorganisms Alleviate Salmonella enterica Serovar Pullorum Infection in Chickens
by Jianshen Zhu, Jinmei Ding, Kaixuan Yang, Hao Zhou, Wenhao Yang, Chao Qin, Liyuan Wang, Fuquan Xiao, Beibei Zhang, Qing Niu, Zhenxiang Zhou, Shengqing Yu, Qizhong Huang, Shaohui Wang and He Meng
Microorganisms 2024, 12(9), 1743; https://doi.org/10.3390/microorganisms12091743 - 23 Aug 2024
Cited by 1 | Viewed by 1686
Abstract
Pullorum disease, an intestinal disease in chickens caused by Salmonella enterica serovar pullorum (S. Pullorum), is a significant threat to the poultry industry and results in substantial economic losses. The bacteria’s transmission, both vertical and horizontal, makes it difficult to completely eliminate [...] Read more.
Pullorum disease, an intestinal disease in chickens caused by Salmonella enterica serovar pullorum (S. Pullorum), is a significant threat to the poultry industry and results in substantial economic losses. The bacteria’s transmission, both vertical and horizontal, makes it difficult to completely eliminate it. Control strategies for pullorum disease primarily involve stringent eradication programs that cull infected birds and employ antibiotics for treatment. However, eradication programs are costly, and antibiotic use is restricted. Therefore, developing alternative control strategies is essential. Increasingly, studies are focusing on modulating the gut microbiota to control intestinal diseases. Modulating the chicken gut microbiota may offer a novel strategy for preventing and controlling pullorum disease in poultry. However, the impact of S. Pullorum on the chicken gut microbiota has not been well established, prompting our exploration of the relationship between S. Pullorum and the chicken gut microbiota in this study. In this study, we initially analyzed the dynamic distribution of the gut microbiota in chickens infected with S. Pullorum. Alpha diversity analysis revealed a decrease in observed OTUs and the Shannon diversity index in the infected group, suggesting a reduction in the richness of the chicken gut microbiota due to S. Pullorum infection. Principal coordinate analysis (PCoA) showed distinct clusters between the gut microbiota of infected and uninfected groups, indicating S. Pullorum infection changed the chicken gut microbiota structure. Specifically, S. Pullorum infection enriched the relative abundance of the genera Escherichia-Shigella (65% in infected vs. 40.6% in uninfected groups) and Enterococcus (10.8% vs. 3.7%) while reducing the abundance of Lactobacillus (9.9% vs. 32%) in the chicken microbiota. Additionally, based on the observed changes in the chicken gut microbiota, we isolated microorganisms, including Bifidobacterium pseudolongum, Streptococcus equi and Lacticaseibacillus paracasei (L. paracasei), which were decreased by S. Pullorum infection. Notably, the L. paracasei Lp02 strain was found to effectively inhibit S. Pullorum proliferation in vitro and alleviate its infection in vivo. We found that S. Pullorum infection reduced the richness of the chicken gut microbiota and enriched the relative abundance of the genera Escherichia-Shigella and Enterococcus while decreasing the abundance of the anaerobic genus Lactobacillus. Furthermore, microbiota analysis enabled the isolation of several antimicrobial microorganisms from healthy chicken feces, with a L. paracasei strain notably inhibiting S. Pullorum proliferation in vitro and alleviating its infection in vivo. Overall, this research enhances our understanding of the interaction between gut microbiota and pathogen infection, as well as offers new perspectives and strategies for modulating the chicken gut microbiota to control pullorum disease. Full article
(This article belongs to the Section Gut Microbiota)
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20 pages, 1489 KiB  
Review
Bioactive Compounds and Probiotics Mitigate Mastitis by Targeting NF-κB Signaling Pathway
by Muhammad Zahoor Khan, Liangliang Li, Tongtong Wang, Xiaotong Liu, Wenting Chen, Qingshan Ma, Muhammad Zahoor and Changfa Wang
Biomolecules 2024, 14(8), 1011; https://doi.org/10.3390/biom14081011 - 15 Aug 2024
Cited by 5 | Viewed by 2189
Abstract
Mastitis is a significant inflammatory condition of the mammary gland in dairy cows. It is caused by bacterial infections and leads to substantial economic losses worldwide. The disease can be either clinical or sub-clinical and presents challenges such as reduced milk yield, increased [...] Read more.
Mastitis is a significant inflammatory condition of the mammary gland in dairy cows. It is caused by bacterial infections and leads to substantial economic losses worldwide. The disease can be either clinical or sub-clinical and presents challenges such as reduced milk yield, increased treatment costs, and the need to cull affected cows. The pathogenic mechanisms of mastitis involve the activation of Toll-like receptors (TLRs), specifically TLR2 and TLR4. These receptors play crucial roles in recognizing pathogen-associated molecular patterns (PAMPs) and initiating immune responses through the NF-κB signaling pathway. Recent in vitro studies have emphasized the importance of the TLR2/TLR4/NF-κB signaling pathway in the development of mastitis, suggesting its potential as a therapeutic target. This review summarizes recent research on the role of the TLR2/TLR4/NF-κB signaling pathway in mastitis. It focuses on how the activation of TLRs leads to the production of proinflammatory cytokines, which, in turn, exacerbate the inflammatory response by activating the NF-κB signaling pathway in mammary gland tissues. Additionally, the review discusses various bioactive compounds and probiotics that have been identified as potential therapeutic agents for preventing and treating mastitis by targeting TLR2/TLR4/NF-κB signaling pathway. Overall, this review highlights the significance of targeting the TLR2/TLR4/NF-κB signaling pathway to develop effective therapeutic strategies against mastitis, which can enhance dairy cow health and reduce economic losses in the dairy industry. Full article
(This article belongs to the Section Molecular Genetics)
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11 pages, 2559 KiB  
Communication
Evaluation of Selective Culling as a Containment Strategy for African Swine Fever at a Vietnamese Sow Farm
by Bui Thi To Nga, Agathe Auer, Pawin Padungtod, Klaas Dietze, Anja Globig, Andriy Rozstalnyy, Tran Minh Hai and Klaus Depner
Pathogens 2024, 13(7), 567; https://doi.org/10.3390/pathogens13070567 - 6 Jul 2024
Cited by 3 | Viewed by 5389
Abstract
Selective culling, also known as the “tooth extraction approach”, is a strategy for controlling African swine fever (ASF) by removing only sick and suspect animals instead of the entire herd in Vietnam. This method prioritizes preserving healthy animals, particularly valuable breeding pigs. Despite [...] Read more.
Selective culling, also known as the “tooth extraction approach”, is a strategy for controlling African swine fever (ASF) by removing only sick and suspect animals instead of the entire herd in Vietnam. This method prioritizes preserving healthy animals, particularly valuable breeding pigs. Despite its implementation in various forms, no standardized protocol based on scientific principles has been established. Farms typically adapt this strategy based on their understanding, which can vary significantly. In implementing of selective culling that is not based on scientific principles, there is a significant risk of spreading the disease. The aim of this study is to evaluate the consequences of selective culling as currently implemented in Vietnam. Our analysis on a large sow farm revealed that current practices rely heavily on clinical observations without laboratory confirmations. This approach allows ASF-infected animals to remain on the farm longer, potentially exacerbating the spread of the virus. Thus, selective culling poses a substantial risk by potentially exacerbating the spread of disease. Our findings emphasize that early diagnosis of ASF and systematic removal of infected pigs are critical components for the effective implementation of selective culling strategies and that a high level of fragmentation to minimize contact between animals plays a key role. The optimal approach is to test conspicuous animals and separate them. Under no circumstances should suspect animals be left in the herd for several days before they become severely ill and succumb to the disease. Full article
(This article belongs to the Section Viral Pathogens)
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14 pages, 3912 KiB  
Article
Investigation of the Seroprevalence of Brucella Antibodies and Characterization of Field Strains in Immunized Dairy Cows by B. abortus A19
by Yong Shi, Yimeng Cui, Gaowa Wudong, Shengnan Li, Ye Yuan, Danyu Zhao, Shurong Yin, Ziyang Diao, Bin Li, Dong Zhou, Xuejun Li, Zhanlin Wang, Fengxia Zhang, Min Xie, Zehui Zhao, Aihua Wang and Yaping Jin
Vet. Sci. 2024, 11(7), 288; https://doi.org/10.3390/vetsci11070288 - 28 Jun 2024
Viewed by 2109
Abstract
(1) Background: One method of eradicating brucellosis is to cull cattle that test positive for antibodies 12 months after being vaccinated with the 19-strain vaccine. Variations in immunization regimens and feeding practices may contribute to differences in the rate of persistent antibodies. We [...] Read more.
(1) Background: One method of eradicating brucellosis is to cull cattle that test positive for antibodies 12 months after being vaccinated with the 19-strain vaccine. Variations in immunization regimens and feeding practices may contribute to differences in the rate of persistent antibodies. We conducted this study to investigate the real positive rate of Brucella antibody in field strains of Brucella spp. after immunization over 12 months in dairy cows. This research aims to provide data to support the development of strategies for preventing, controlling, and eradicating brucellosis. (2) Method: We employed the baseline sampling method to collect samples from cows immunized with the A19 vaccine for over 12 months in Lingwu City from 2021 to 2023. Serological detection was conducted using the RBPT method. An established PCR method that could distinguish between 19 and non-19 strains of Brucella was utilized to investigate the field strains of Brucella on 10 dairy farms based on six samples mixed into one using the Mathematical Expectation strategy. (3) Results: We analyzed the rates of individual seropositivity and herd seropositive rates in dairy cattle in Lingwu City from 2021 to 2023 and revealed that antibodies induced by the Brucella abortus strain A19 vaccine persist in dairy herds for more than 12 months. We established a PCR method for identifying both Brucella A19 and non-A19 strains, resulting in the detection of 10 field strains of Brucella abortus from 1537 dairy cows. By employing a Mathematical Expectation strategy, we completed testing of 1537 samples after conducting only 306 tests, thereby reducing the workload by 80.1%. (4) Conclusions: There was a certain proportion of cows with a persistent antibody titer, but there was no evidence that all of these cattle were naturally infected with Brucella. The established PCR method for distinguishing between Brucella abortus strain 19 and non-19 strains can be specifically utilized for detecting natural Brucella infection in immunized cattle. We propose that relying solely on the detection of antibodies in cattle immunized with the A19 vaccine more than 12 months previously should not be solely relied upon as a diagnostic basis for brucellosis, and it is essential to complement this approach with PCR analysis to specifically identify field Brucella spp. Brucella abortus was the predominant strain identified in the field during this study. Detection based on the Mathematical Expectation strategy can significantly enhance detection efficiency. Full article
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