Search Results (494)

This narrative review summarizes evidence on the bovine β-casein (CSN2) A1/A2 polymorphism as a case study of how intensive dairy selection and global gene flow can reshape allele frequencies in ways that matter for consumers, processing and agroecological resilience. We draw together evidence from (i) population-genetic surveys of CSN2 in contrasting cattle populations, including a descriptive summary of published genotype-frequency studies; (ii) controlled human studies that separate A1-containing from A2-only dairy exposure; and (iii) dairy technology and the authenticity literature relevant to identity-preserved A2 value chains. Across intensively selected Holstein-Friesian populations, A1 was consistently present at substantial frequency (approximately one-third), whereas indigenous, beef and zebu-adjacent populations were typically A2-enriched, highlighting the role of historical breed formation and modern introgression in shaping apparent geographic and climatic patterns. Human intervention studies most consistently support improved short-term gastrointestinal tolerance with A2-only milk in susceptible individuals, while evidence for longer-horizon systemic outcomes remains mixed and insufficient for causal disease claims. Processing and analytical studies suggest that β-casein genotype can modestly affect coagulation and product behavior in a context-dependent manner and that validated proteoform quantification coupled with traceability is essential for credible A2 labeling at scale. We discuss implications for breeding programs, including staged A2 selection that avoids performance trade-offs, and emphasize governance of artificial insemination and supply-chain segregation as levers to limit inadvertent allele diffusion while supporting climate-relevant genetic resources in locally adapted breeds. Collectively, the reviewed evidence suggests that A1/A2 β-casein can be usefully interpreted within a One Health framework spanning animal genetics, dairy systems and human tolerance research. Full article

The prevalence of plastics in the environment raises concerns about their complex and poorly understood effects on human health. Research continues to uncover more sources of exposure and wider ranges of plastics within the body. Adverse health effects have been observed in animals, but their relevance to humans remains unclear. To address the growing need for reliable toxicity assessment resources and tools to aid in the synthesis of findings and the identification of data gaps and needs, we have developed a data visualization tool to provide streamlined access to the evaluated data on the chemical impacts of plastics on human health. The Plastics-Related Toxicology Profiles Tool uses Tableau Public to organize the extracted chemical-specific information from ATSDR Toxicological Profiles, the United Nations Environmental Program’s 2023 Chemicals in Plastics Technical Report, and a literature review of relevant research in Google Scholar and PubMed. The tool organizes extracted data from 98 ATSDR Toxicological Profiles representing over 476 substances related to plastics production in 16 tabulated health outcome categories associated with plastics exposure. The chemicals are organized into four categories based on their role in plastics manufacturing. The top four health endpoints impacted by all listed substance profiles are respiratory, neurologic, hepatic, and developmental effects. More than 30% of the substance profiles affected these systems as well as other non-cancer endpoints involving the immunological, renal, and reproductive systems, as well as increased cancer risk in respiratory and hepatic systems. Most monomers negatively impact development and the respiratory system, and most metal additives affect the respiratory system. We explain how this data visualization tool combined with ATSDR’s framework for assessing health impacts from multiple chemicals could be applied to identify the target organs impacted by components of the common plastic polyvinyl chloride. Hazard quotients and index show low toxicity and health risk of components in the cured product. This data provide a valuable resource for prioritizing health risk assessments. Use of this interactive tool can enhance the ability of public health professionals to navigate the expanding literature, synthesize findings, and identify future health risk assessment and research priorities. Full article

This study aimed to evaluate breed-specific differences in meat quality, nutritional compo sition, and volatile flavor compounds of beef, and to discuss their implications for animal breeding and health. Longissimus dorsi muscles were collected from four cattle breeds—Dabieshan cattle (DBS), local water buffalo (LWB), Simmental (SM), and Angus (AG)—with six animals per breed, all reared under identical feeding conditions. Meat quality parameters (color, cooking loss, shear force, and water-holding capacity), proximate composition, fatty acid and amino acid profiles, and volatile compounds were analyzed using standardized methods. Significant breed effects were observed for most traits (p < 0.05). DBS exhibited the highest intramuscular fat content (2.9%) and total fatty acid concentration, along with favorable proportions of unsaturated fatty acids (MUFA + PUFA) and abundant flavor volatiles (aldehydes and ketones). LWB showed superior water-holding capacity, lowest cooking loss, and the highest total amino acid content, including essential amino acids, along with a higher PUFA/SFA ratio. SM and AG had intermediate meat quality traits, with AG displaying lower lightness (L*) and better tenderness than SM. Notably, LWB and DBS presented higher levels of nutritionally beneficial fatty acids (e.g., C18:3n3) and amino acids (e.g., glutamic acid). Breed significantly influences meat quality and nutritional composition. DBS and LWB offer distinct advantages in fat deposition, amino acid profile, and potential health benefits. These findings provide preliminary insights for selective breeding programs aiming to improve meat quality and meet consumer preferences. The observed compositional differences—such as lower saturated fatty acids in LWB and higher intramuscular fat in DBS—may offer nutritional advantages from a dietary perspective, although direct health benefits were not assessed. The results also underscore the importance of preserving indigenous cattle genetic resources for sustainable animal production. Full article

Global population growth has increased the demand for food production and, therefore, for higher crop yields, especially for soybean, which is one of the most cost-effective and affordable sources of high-quality protein for animal and human nutrition. This frequently leads to an overuse of traditional chemical insecticides to maximize yields, thereby triggering negative side effects. However, both consumers and governments around the world demand a reduction in chemical insecticides in agriculture. To address this challenge, pest control must be guided by proper adoption of economic thresholds (ETs), which indicate the most appropriate time to initiate control in the crop. Despite the well-documented science behind ETs, farmers have questioned the adoption and reliability in a search for higher production, highlighting the importance of reviewing this topic. Thus, based on the available literature, the role of ETs in optimizing insecticide application in soybean production around the world is herein discussed, highlighting the importance of their adoption to mitigate the overuse of chemicals by emphasizing examples from the major world soybean producers (Brazil, the United States of America, Argentina, and China). In conclusion, this review highlights the importance of changing farmers’ perception that using more insecticide is necessary to guarantee higher yields. On the contrary, only by the adoption of ETs within Integrated Pest Management is it possible to obtain better pest management and, consequently, reduce yield loss. Despite some limitations related to their simplicity and risks of adoption, the use of ETs improves soybean sustainability and farmers’ profits while benefiting the agroecosystem. For future directions, their complexity should increase to more realistically represent agroecosystems; in addition, tools should be developed (computer programs and smartphone apps using, for instance, artificial intelligence) to translate this complexity into easy-to-adopt ETs. Full article

The aim of this study was to identify SNPs in the cattle genome associated with estimated breeding values of feet (EBV_feet) in Holstein-Friesian (HF) cows in Hungary. Foot health is of major importance in dairy cattle industry whereas claw disorders are leading to lameness and thus result in low fertility rates and productivity. Genotyping was performed using the EuroG_MDv4 microarray platform. The final database comprised 2963 animals and 59,151 SNPs. EBV_feet values have been divided into high and low groups. All calculations regarding the genetic differentiation (genome-wide and locus-specific) between high- and low-value groups for EBV_feet, linear regression, and haplotype association tests have been performed with the SNP and Variation Suite software. Thirty-nine SNPs associated with EBV_feet were determined on BTAs 3, 7, 8, 15, 21, and X. The maximum values of the identified SNPs were 0.22 for F_{st_marker}, 23.1 for the −log10(p) of the linear regression, and 26.3 for the −log10(p) of the haplotype association tests on BTA 3. The closest genes to SNPs associated with estimated breeding values for feet (EBV_feet) are mainly associated with tissue structure, immune response, metabolism, growth, development, transport and signaling. Our results could add additional information to the genetic programs focusing on the improvement of foot health in HF cattle. Full article

Small ruminant lentiviruses are longstanding viral infections affecting sheep and goats worldwide, resulting in reduced efficiency and economic losses. In Portugal, updated epidemiological data are scarce. The aim of this study was to assess the seroprevalence and risk factors for SRLV in Portugal. The study was conducted in Portuguese flocks of ovine and caprine species. Flocks were randomly chosen, and producers were invited to answer a questionnaire. The indirect ELISA test, ID Screen^® MVV/CAEV Indirect, was made to detect infection. We collected samples from 59 flocks, of which 55.93% (CI 95%: 43.26–68.60%) had at least one positive animal. Of these flocks, 1302 individual samples presented a seroprevalence of 32.95% (CI 95%: 30.08–35.81%). Regarding the risk factor analysis, the multivariable mixed-effects logistic regression model at the individual level identified variables with increased odds of SRLV seropositivity. Caprine species (OR = 2.47; CI 95%: 1.01–6.03), non-autochthonous breed (OR = 2.95; CI 95%: 1.23–7.06), animals older than two years old (OR = 1.95; CI 95%: 1.29–2.94), dairy aptitude (OR = 8.15; CI 95%: 2.53–26.24), unknown serostatus of newly acquired animals (OR = 9.41; CI 95%: 2.93–30.23) and participation in livestock competitions (OR = 4.25; CI 95%: 1.42–12.73) were significantly associated with increased odds of seropositivity. SRLV has been confirmed in both regions of Portugal studied, with a significant regional disparity that is likely attributable to differences in management practices. The identification of risk factors specific to each production system is crucial for the development and implementation of voluntary control programs. Full article

The transition toward sustainable food systems requires innovative approaches to managing perishable products, where inefficient inventory practices contribute significantly to global food loss and environmental degradation. This study develops a circular-economy-oriented inventory optimisation framework for dairy supply chains that integrates environmental externalities and waste valorisation pathways into operational decision-making. Departing from traditional linear “produce–consume–dispose” models, this study embeds three core sustainability mechanisms into a stochastic dynamic-programming framework: (1) progressive environmental cost internalisation aligned with EU Emissions-Trading System carbon pricing, capturing both waste-related emissions and cold-chain energy footprints; (2) circular-economy value-recovery channels that redirect near-expiry products to secondary applications (animal feed, biogas production, industrial processing) rather than disposal; and (3) deterioration-aware demand management that minimises resource throughput while maintaining service levels. Empirical calibration using Ukrainian dairy industry data demonstrates that sustainability-integrated inventory policies reduce waste generation by 4.8–10% relative to conventional approaches, with high-deterioration products showing the greatest potential for improvement. The authors identify a critical threshold in the circular economy: when salvage recovery rates exceed 35%, waste becomes an economic and ecological asset, fundamentally altering the sustainability calculus of inventory decisions. Environmental costs account for 4.6% of total operating expenses at current carbon prices, a share projected to increase substantially as climate regulations tighten. The findings provide actionable guidance for dairy supply chain stakeholders pursuing the Sustainable Development Goals (SDGs 2, 12, 13): processors should establish circular-economy partnerships that achieve salvage rates above 35%, implement product-specific policies for high-deterioration items, and proactively integrate carbon pricing into inventory optimisation. The framework bridges sustainable operations theory and circular economy practice, offering a replicable model for transitioning perishable food supply chains toward closed-loop, low-waste configurations that simultaneously reduce environmental impact and enhance economic performance. Full article

Cultured meat represents an emerging frontier in cellular agriculture, garnering increasing interest due to its potential benefits regarding sustainability, animal welfare, and food safety. However, its development is hampered by challenges in flavor modulation and sensory quality, primarily due to the limited biosynthesis of fat-derived flavor compounds. Although adipose tissue engineering has been extensively studied, its industrial-scale production is hampered by serum dependency and low differentiation efficiency. Therefore, the establishment of serum-free, efficient strategies for regulating lipid synthesis is urgently needed. In this study, we developed a serum-free adipogenic induction system and investigated its underlying regulatory mechanisms. We demonstrated that Serum-Free Differentiation Medium 1 (SFM-1) initiated the differentiation program and induced intracellular lipid deposition in preadipocytes (~10% by Day 8). Serum-free differentiation medium 2 (SFM-2), which supplied oleic acid (OA) as a lipid substrate and signaling activator, markedly enhanced lipid droplet accumulation and differentiation efficiency. Ultimately, serum-free differentiation medium 3 (SFM-3), leveraging the synergistic action of oleic acid (OA) and transferrin (TRF), successfully activates the expression of SEPTIN4, which in turn regulates a core adipogenic network—including the master transcription factors PPARγ and CEBPα, as well as downstream functional genes. Mechanistically, the OA/TRF combination in SFM-3 upregulates SEPTIN4, unveiling a previously unrecognized regulatory axis that activates the PPARγ signaling pathway, thereby synchronizing the proliferation and differentiation of precursors and guiding them from initiation to functional maturity. Our study presents a chemically defined, scalable platform for the serum-free adipogenic differentiation of porcine adipocytes, offering a promising strategy for the controllable production of fat components in cultured meat and supporting its industrialization. Full article

Modern genetic selection for high productivity has created a physiological conflict in ruminants, where the metabolic demands of lactation compete directly with the energy requirements of reproduction. This review provides a mechanistic synthesis of how key nutritional factors modulate the endocrine and cellular pathways governing reproductive success in cattle and sheep. Negative energy balance (NEB), characteristic of the early postpartum period, suppresses the hypothalamic–pituitary–gonadal (HPG) axis by impairing the pulsatile secretion of gonadotropin-releasing hormone (GnRH) and luteinizing hormone (LH), mediated through reduced kisspeptin signaling, growth hormone (GH) resistance, and decreased circulating insulin, insulin-like growth factor-1 (IGF-1), and leptin. At the macronutrient level, excess rumen-degradable protein elevates blood urea nitrogen and impairs the uterine environment, while omega-3 polyunsaturated fatty acids inhibit prostaglandin F2α synthesis to support corpus luteum maintenance. At the micronutrient level, selenium, copper, and zinc are essential antioxidant cofactors protecting gametes and embryos from oxidative stress, while vitamins A, D, and E regulate gene expression in reproductive tissues. Furthermore, maternal nutrition during critical gestational windows programs the reproductive capacity of offspring through epigenetic modifications, with profound implications for long-term herd fertility. Understanding these nutritional–reproductive interactions is crucial for developing precision feeding strategies that optimize herd fertility, improve animal welfare, and ensure the economic sustainability of livestock management. A thorough understanding of these nutritional–reproductive interactions is essential for developing precision feeding strategies that optimize fertility in high-producing ruminants. Full article

Vaccine performance in livestock and poultry often varies under field conditions. Conventional explanations, such as handling errors, cold-chain failures, or antigen mismatch do not fully account for inconsistent immunogenicity and durability. Increasing evidence suggests that the gut microbiome acts as an upstream regulator of vaccine responses through microbial structural signals and metabolites that shape antigen presentation, B-cell metabolism, and inflammatory tone. Early life microbiome disruption can impair antibody responses to multiple vaccines, highlighting a plausible causal role for dysbiosis in suboptimal vaccine efficacy. Microbiota-derived metabolites, particularly short-chain fatty acids (SCFAs), can influence B-cell differentiation and antibody production through metabolic and epigenetic pathways. However, these effects are dose- and context-dependent, highlighting the need for controlled translation rather than generalized assumptions that higher SCFA levels are beneficial. This review synthesizes microbiome–immunometabolism pathways relevant to vaccine responses in food animals and assesses practical nutritional and microbiome-targeted strategies, such as amino acids, trace minerals, organic acids, phytogenics, and postbiotics, that may modulate these pathways to improve outcomes. We also propose field-deployable biomarker panels that combine immune readouts with inflammation- and microbiome-linked metabolite proxies to stratify likely responders, monitor intervention effects, and improve trial comparability. Finally, we outline translational study designs that connect microbiome shifts to protective immune endpoints and performance outcomes, enabling evidence-based integration of microbiome-informed strategies into vaccination programs for poultry, with broader conceptual relevance to other food animals. Full article

On 9–10 December 2025, the Coalition for Epidemic Preparedness Innovations (CEPI) and the International Vaccine Institute (IVI) convened a workshop in Seoul under CEPI’s Disease X Program. The primary objective was to identify existing gaps needing to be filled and streamline vaccine development and preparedness for Severe Fever with Thrombocytopenia Syndrome (SFTS). CEPI’s partners and experts discussed a multifaceted agenda, ranging from understanding the evolving epidemiology to the refinement of animal models and immunological assay harmonization. Key outcomes included the refinement of Target Product Profiles (TPPs) specifying use cases for both peacetime and outbreak contexts, alongside a recommendation for a core immunoassay panel aimed at harmonizing evaluation frameworks and mitigating the challenges posed by low SFTS prevalence. Integration of the One Health approach emerged as a critical strategy for SFTS prevention, complemented by proactive regulatory engagement to compress vaccine development timelines. This report summarizes these key insights from the workshop, delineating a strategic framework for delivering safe, effective, and accessible vaccines for SFTS and broader Disease X threats. Full article

Background/Objectives: Data on antimicrobial resistance (AMR) in goat-derived E. coli within the Gulf Cooperation Council (GCC) region remain limited, and are largely restricted to studies conducted in Saudi Arabia and the UAE, with no published reports from Qatar. This study provides the first baseline characterization of AMR and extended-spectrum β-lactamase (ESBL) profiles of E. coli isolated from goats in Qatar. Methods: A total of 280 fecal samples were collected from goats across nine locations in Qatar (140 healthy and 140 diseased goats; 12 samples did not yield E. coli cultures). A selective agar medium was used to isolate E. coli, and the isolates were subsequently confirmed using the VITEK^® 2 Compact system. Antimicrobial susceptibility testing was performed to determine resistance profiles, and PCR assays were used to detect ESBL-associated genes. Results: 268 E. coli isolates were recovered from 280 samples. AMR analysis revealed a high prevalence of tetracycline resistance among E. coli isolates (53%), consistently observed across all nine sampling locations. Ampicillin resistance was also widespread. AMR was detected in isolates from both healthy and diseased goats; however, gentamicin resistance was found exclusively in the isolates from diseased animals. Overall, 44 isolates (16%) were classified as multidrug resistant (MDR), while nine isolates (3%) demonstrated ESBL production based on cefotaxime resistance. MDR and ESBL-producing E. coli were detected across all nine locations and in both healthy and diseased animals, with MDR strains occurring more frequently than ESBL producers. PCR analysis identified ESBL-associated genes, namely, bla_CTX-M in nine isolates and bla_TEM in three isolates. Conclusions: Goats in Qatar harbor multidrug-resistant and ESBL-producing E. coli, highlighting their role as AMR reservoirs within a One Health framework. The high resistance rates to commonly used antibiotics, particularly tetracycline and ampicillin, across health statuses and geographic locations suggest potential influences of local management practices and environmental factors. The detection of ESBL genes, notably bla_CTX-M and bla_TEM, underscores the need for prudent antimicrobial use and the implementation of integrated One Health surveillance programs to mitigate potential public health risks and to support national AMR surveillance and antimicrobial stewardship efforts across the region. Full article

Barley remains the fourth most cultivated cereal crop worldwide and is valued for its versatility in malting and brewing, animal feed, human nutrition, and dietary supplements. The identification of genotypes suitable for breeding or specific end-use applications requires multi-environment testing to evaluate agronomic performance, grain quality, and trait stability. In this study, a panel of 50 winter barley genotypes (two-row and six-row) originating from diverse genetic backgrounds was evaluated over three growing seasons (2021–2023) under the environmental conditions of southeastern Romania. Seven traits were analyzed, including three phenological traits (heading time, flowering time and plant height), grain yield, and three quality parameters (thousand-grain weight, protein content, and starch content). Environmental conditions had a strong influence on phenological development and grain yield, whereas grain quality traits showed relatively greater stability, indicating a stronger genetic control. Multivariate analyses (Principal Component Analysis (PCA) and Genotype plus Genotype-by-Environment interaction biplot (GGE biplots)) revealed clear relationships among traits and highlighted contrasting adaptive strategies between the two barley types. In two-row barley, genotypes such as Idra and Sandra combined favorable yield performance with stable grain quality traits and therefore represent promising candidates for breeding programs and large-scale cultivation. In six-row barley, SU-Ellen and LG Zebra showed high productivity and strong starch accumulation, making them valuable genetic resources for yield-oriented breeding, although further improvement in nitrogen use efficiency may be beneficial. The 2022–2023 growing season represented the most restrictive environment, emphasizing the importance of stability under stress conditions. Genotypes located close to the Average Environment Coordination axis (AEC axis) during that season, such as Ametist (six-row) and Lardeya (two-row), may represent promising material for breeding programs targeting drought resilience. Overall, the results expand the phenotypic characterization of winter barley germplasm and identify valuable genetic resources that can support pre-breeding efforts and the development of climate-resilient barley cultivars. Full article

The development of antimicrobial resistance (AMR) and the emergence of multiresistant pathogens represent a growing global threat to both human and animal health. Beyond the excessive and improper use of antimicrobials in human medicine, irrational use in veterinary medicine, agriculture, and aquaculture significantly contributes to the selection and spread of resistant microorganisms, which can enter the food chain and reach humans through food consumption or handling. Based on results from a recent meta-analysis, the prevalence of antimicrobial-resistant foodborne pathogens in food samples exceeds 10%. The veterinary sector is of particular concern, as a large proportion of antimicrobials are used in animal production, generating strong selective pressure and favoring the dissemination of AMR along the food chain. In an increasingly interconnected global context, resistant pathogens and resistance determinants can disseminate rapidly across sectors and national borders, making strategies confined to a single sector insufficient; therefore, effectively addressing AMR requires a One Health approach encompassing the human, veterinary, and environmental domains. Key mitigation strategies include strengthening antimicrobial stewardship programs, also in animal production, reducing routine prophylactic use of antimicrobials, and improving surveillance, coordinated across sectors and, where possible, further supported by advanced technologies such as artificial intelligence and machine learning. Further efforts are also needed to improve microbiological diagnostics, particularly through rapid and molecular methods, to support timely, targeted therapies and reduce inappropriate empirical treatments. In parallel, investment in new therapeutic options, including innovative molecules, drug combinations, and alternative approaches, remains crucial to effectively countering the growing burden of antimicrobial resistance. Full article

Gastrointestinal nematodes (GINs) remain a significant challenge to productivity and sustainability in beef cattle systems in the United States, contributing to subclinical reductions in growth, reproductive performance, and overall herd health across production stages. Control programs have historically relied on routine anthelmintic use; however, increasing reports of anthelmintic resistance highlight the need for alternative management strategies. This narrative review synthesizes peer-reviewed literature identified through targeted searches of major scientific databases spanning approximately seven decades, with articles selected for relevance to GIN epidemiology, diagnostics, and control in beef cattle. Particular emphasis is placed on life stage-specific susceptibility, host immune development, and the role of diagnostic tools in guiding evidence-based interventions. The review further examines non-anthelmintic strategies such as grazing management, nutritional supplementation, selective breeding, and integrated parasite management practices adapted from small ruminant systems. Across studies, young and immunologically developing cattle experience the greatest productivity losses, while mature animals contribute disproportionately to pasture contamination, reinforcing the importance of targeted control measures. Overall, the literature supports a transition toward integrated, diagnostics-driven parasite control programs that sustain productivity and animal well-being while preserving long-term anthelmintic efficacy. Full article