ReviewInternational journal of molecular sciences2026
Diet-Microbiome-Redox Interactions and Oxidative Stress Biomarkers in Livestock: Computational and Spatial Perspectives for Translational Health and Production.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Dietary Antioxidants and Nrf2-Related Redox Responses in Sheep: Evidence, Limitations, and Implications for Health and Productivity.Veterinary sciences · 2026Review
- Oxidative Stress-Gut Microbiome Crosstalk: Intestinal Redox Imbalance and Probiotics Therapeutic Potential.Antioxidants (Basel, Switzerland) · 2026Review
- Maternal Omega-3 PUFA Supplementation and Mitochondrial Function in a Newborn Piglet Model: A Preliminary Investigation.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oxidative stress (OS) is a central regulator of health and productivity in livestock, emerging from complex interactions between dietary inputs, microbiome composition, environmental stressors, and host metabolism. This narrative review synthesizes current knowledge on OS in cattle, pigs, sheep, and poultry, emphasizing mechanistic pathways, tissue-specific responses, and translational applications. We highlight the central role of redox-inflammatory signaling hubs, including nuclear factor kappa B (NF-κB), nuclear factor erythroid 2-related factor 2 (Nrf2)/Kelch-like ECH-associated protein 1 (Keap1), and inflammasomes, as integrators of metabolic and immune stress. Microbiome-metabolome interactions modulate systemic oxidative responses, influencing liver, mammary gland, gastrointestinal tract, adipose tissue, and reproductive tissues. Oxidative stress-related biochemical and molecular alterations are captured by a range of biomarkers, such as malondialdehyde (MDA), Total Antioxidant Capacity (TOAC), gluthatione peroxidase (GPx), superoxide dismutase (SOD), paraoxonase-1 (PON1), cytokines, and gene expression profiles, measurable in blood, milk, saliva, and tissues. Integrating these markers enables precision diagnostics, early disease detection, and evidence-based nutritional interventions. Furthermore, computational modeling and spatial-socioeconomic perspectives offer novel approaches to translate molecular redox insights into practical livestock management strategies. By framing OS as a regulated, context-dependent process rather than a simple imbalance of reactive oxygen species, this review advances a conceptual, cross-species framework for understanding, monitoring, and mitigating oxidative stress in livestock. This integrative perspective provides a foundation for targeted antioxidant strategies and sustainable production practices, bridging molecular mechanisms with practical applications in animal health and productivity.
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What OpenQuestion holds
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.