ReviewFrontiers in veterinary science2025
Animal health and nutrition: metabolic disorders in cattle and improvement strategies.
Review in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
15 citing papers in PubMed.
- Evaluation of Daily Behavioral Patterns and Locomotor Activity in Holstein Dairy Cattle Under Different Physiological Stages and Management Factors.Animals : an open access journal from MDPI · 2026Article
- Sensor-Based Pasture Quality Monitoring: Supporting Grazing Management and Preventing Nutritional and Metabolic Disorders in Ruminants.Sensors (Basel, Switzerland) · 2026Review
- Lactobacillus Modulates the Rumen Microbiota and Transcriptome to Enhance Nutrient Digestion in Yaks Fed High-Concentrate Diets During the Cold Season.Animals : an open access journal from MDPI · 2026Article
- Delayed ovulation in cattle: Physiological mechanisms, diagnostic approaches, and reproductive management strategies.Veterinary world · 2026Article
- Integrating biomarkers and artificial intelligence for precision diagnostics in cattle health and herd management: a review.Veterinary research communications · 2026Review
- Effects of graviola oil extract on fattening performance and circadian rhythms of adipokine, cardiac and mitochondrial function markers in lambs.BMC veterinary research · 2026Article
- Serum α-Glucosidase Activity as a New Parameter of Negative Energy Balance in Dairy Cows.Veterinary sciences · 2026Article
- Increased maternal non-esterified fatty acid concentrations during late gestation impair adipose tissue development and metabolic function in Holstein offspring calves.Journal of animal science · 2026Article
- Endocrine-metabolic regulation during the transition period in dairy cows: mechanisms, biomarkers, and emerging diagnostics for subclinical ketosis.Frontiers in endocrinology · 2026Review
- Metabolic, adipokine (irisin, spexin, visfatin), and ER stress (GRP78) responses in multiparous Brown Swiss cows: a multivariate approach across physiological stages and body condition scores.Archives animal breeding · 2026Article
- Current Understanding of Bovine Ketosis: From Molecular Basis to Farm-Level Management.Animals : an open access journal from MDPI · 2025Review
- Comprehensive Prevention and Control of Mastitis in Dairy Cows: From Etiology to Prevention.Veterinary sciences · 2025Review
- Effects of Grape By-Products on Oxidative Stress and Inflammation in Farm Animals: An Overview of Studies Performed in Pigs, Chickens, and Cattle.Animals : an open access journal from MDPI · 2025Review
- Economic costs of veterinary drug and antibiotic use in commercial dairy cattle herds in Central European countries.Frontiers in veterinary science · 2025Article
- Bovine adipose mitochondrial adaptation and a potential lactate-ketone toggle in early lactation.Frontiers in veterinary science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The health and productivity of cattle are significantly compromised by metabolic diseases on a global scale. These disorders disrupt normal metabolic processes, leading to substantial economic losses for the livestock industry. Metabolic disorders can arise from defective biochemical pathways, deficiencies in enzymes, coenzymes, or cofactors, and may be either inherited or acquired. Dairy cows are particularly susceptible during the transition period from late lactation to early management, facing conditions such as ketosis, milk fever, and hepatic lipidosis. This susceptibility is primarily due to reduced dry matter intake caused by fetal development and a decline in rumen capacity. The negative energy balance (NEB) during this phase, characterized by elevated blood concentrations of non-esterified fatty acids (NEFAs) due to increased energy mobilization, is closely linked to the onset of these diseases. Providing high-energy-density diets during this period is critical to mitigating the effects of NEB. Metabolic disorders represent a major health challenge in cattle, adversely affecting animal welfare and agricultural output. A comprehensive understanding of their etiology, clinical manifestations, diagnostic approaches, and management strategies is essential for effective prevention and treatment. Ongoing research and the adoption of preventive measures are vital to reducing the economic and health impacts of these diseases. Early diagnosis and proactive management strategies are crucial to mitigating their impact on dairy cattle health and productivity. Early identification enables timely interventions, preventing disease progression and reducing adverse effects on animal health. Proactive measures, such as optimizing nutritional programs, implementing precision farming technologies, and ensuring timely veterinary care, are essential for enhancing the overall wellbeing of dairy cows. This review serves as a valuable resource for veterinarians, researchers, and dairy farmers, offering in-depth insights into the etiology, clinical signs, diagnostics, and management of prevalent metabolic disorders in dairy cattle. By equipping stakeholders with this knowledge, it aims to support informed decision-making and improve herd management practices. The focus on early diagnosis and proactive strategies underscores the potential to significantly reduce the economic and health burdens imposed by metabolic diseases on the livestock industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.