Article
Early Detection of Enteric Dysbiosis in Broilers Using Real-Time Gut Health Monitoring
Modern broiler production has evolved under continuous pressure for faster growth, improved feed conversion ratio (FCR), and higher meat yield. Genetic selection has produced high-performing birds, but this has also increased dependence on optimal gut health to sustain productivity [1]. In field conditions, intestinal integrity is now a key determinant of flock performance rather than only a pathological concern.
For poultry veterinarians, enteric disease is increasingly observed as a “silent profit leak,” often presenting as uneven flock performance, unexplained FCR drift, or delayed weight gain rather than overt clinical outbreaks [2].
Why Gut Health Is a Critical Production Parameter
The gastrointestinal tract is central to nutrient absorption, immune function, and flock uniformity. When gut integrity is compromised, the consequences are immediate:
- Increased morbidity and mortality
- Reduced body weight gain
- Poor FCR
- Higher production costs [1,3]
Subclinical enteric dysfunction is now recognized as a major driver of economic loss in broiler production systems [3]. Most field cases involve multifactorial interactions between bacteria, viruses, parasites, and environmental stressors rather than single-agent infections.
Necrotic Enteritis: The Persistent Field Challenge
Clostridium perfringens remains the primary cause of necrotic enteritis (NE), one of the most economically important enteric diseases in poultry.
Clinical NE typically presents as:
- Distended and fragile intestines
- Mucosal necrosis
- Yellow to light brown pseudomembrane formation
However, subclinical NE is more challenging, as it silently damages the intestinal epithelium and reduces performance without obvious clinical signs [3,4]. Delayed recognition remains one of the main reasons for treatment failure in field conditions.
Coccidiosis as a Key Predisposing Factor
NE rarely occurs alone. Coccidiosis caused by Eimeria spp. is a major predisposing factor in poultry systems [5].
Coccidial damage leads to:
- Increased gut permeability
- Epithelial disruption
- Enhanced C. perfringens colonization
- Increased severity of co-infections [5,6]
Thus, coccidiosis often acts as a silent trigger for necrotic enteritis outbreaks in commercial farms.
Limitations of Current Control Strategies
Anticoccidials (coccidiostats) remain widely used [6,7], but their long-term efficacy is limited by resistance development and field variability.
Feed-based alternatives have shown supportive effects in gut health management, but results remain inconsistent under farm conditions [8].
Historically, antibiotic growth promoters improved gut performance and efficiency [1], but their use has significantly contributed to antimicrobial resistance (AMR), now a major global concern [9].
The One Health framework highlights that AMR spreads across humans, animals, and the environment, requiring integrated control strategies [10].
Regulatory Shift and Field Impact
With tightening antimicrobial regulations, including EU 2024/1973 [11], veterinarians must prioritize prevention and early detection over therapeutic intervention.
Current gut health management relies on:
- Biosecurity
- Environmental control
- Nutritional management
- Microbiota modulation strategies [1,8]
Feed additives such as prebiotics, probiotics, organic acids, essential oils, and enzymes support gut health, but their effects are indirect and highly dependent on farm conditions [8].
Diagnostic Gap in Field Practice
Conventional diagnostic methods such as necropsy, bacteriology, histopathology, and PCR are:
- Time-consuming
- Costly
- Post-mortem in nature [3,4]
Even advanced molecular tools provide valuable pathogen identification but do not support real-time flock-level decision-making [4].
This creates a critical gap where disease confirmation often occurs after productivity losses have already occurred.
Emerging Role of Real-Time Monitoring
Recent research suggests that volatile organic compounds (VOCs) reflect metabolic and host–pathogen interactions in animals [13]. VOC-based diagnostics have been explored in veterinary systems, although poultry applications remain limited.
Emerging MOS-based gas sensors can detect real-time changes in VOC profiles by measuring resistance shifts linked to microbial activity and metabolic processes [14–16].
These systems offer:
- Non-invasive monitoring
- Continuous real-time data
- Potential early detection before clinical signs appear
However, their use in enteric disease detection in broilers remains in the early research phase.
Practical Takeaway for Poultry Veterinarians
Poultry health management is shifting from reactive treatment to preventive and predictive approaches. The key challenge is no longer identifying necrotic enteritis or coccidiosis once clinical signs appear, but detecting gut dysbiosis early enough to prevent performance loss.
VOC-based monitoring systems represent a promising adjunct tool for early gut health surveillance but should currently be considered supportive to, not replacements for, established veterinary diagnostics and farm management practices.
References
- Mehdi Y, Létourneau-Montminy M-P, Gaucher M-L, et al. Use of antibiotics in broiler production: Global impacts and alternatives. Animal Nutrition. 2018;4:170–178. https://doi.org/10.1016/j.aninu.2018.03.002
- Vasdal G, Granquist EG, Skjerve E, et al. Associations between carcass weight uniformity and production measures in broiler flocks. Poultry Science. 2019;98:4261–4268. https://doi.org/10.3382/ps/pez252
- Fathima S, Hakeem WGA, Shanmugasundaram R, Selvaraj RK. Necrotic enteritis in broiler chickens: A review on the pathogen, pathogenesis, and prevention. Microorganisms. 2022;10:1958.
https://doi.org/10.3390/microorganisms10101958 - He W, Goes EC, Wakaruk J, Barreda DR, Korver DR. A poultry subclinical necrotic enteritis disease model based on natural Clostridium perfringens uptake. Frontiers in Physiology. 2022;13:788592. https://doi.org/10.3389/fphys.2022.788592
- Ahmad R, Yu Y-H, Hua K-F, et al. Management and control of coccidiosis in poultry — A review. Animal Bioscience. 2024;37:1–15. https://doi.org/10.5713/ab.23.0189
- Chapman HD. Applied strategies for the control of coccidiosis in poultry. CABI Reviews. 2018:1–11. https://doi.org/10.1079/PAVSNNR201813026
- Martins RR, Silva LJG, Pereira AMPT, et al. Coccidiostats and poultry: A comprehensive review and current legislation. Foods. 2022;11:2738. https://doi.org/10.3390/foods11182738
- Ayalew H, Zhang H, Wang J, Wu S, Qiu K, Qi G, et al. Potential feed additives as antibiotic alternatives in broiler production. Frontiers in Veterinary Science. 2022;9:916473. https://doi.org/10.3389/fvets.2022.916473
- George NA, Pan D, Silva L, et al. Global antimicrobial resistance systematic review and meta-analysis. eClinicalMedicine. 2025;87:103384. https://doi.org/10.1016/j.eclinm.2025.103384
- Velazquez-Meza ME, Galarde-López M, Carrillo-Quiróz B, Alpuche-Aranda CM. Antimicrobial resistance: One Health approach. Veterinary World. 2022:743–749. https://doi.org/10.14202/vetworld.2022.743-749
- European Commission. Commission Implementing Regulation (EU) 2024/1973 on antimicrobial restrictions. 2024. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1973
- Morishita T. Enterococcosis in poultry. Merck Veterinary Manual. https://www.merckvetmanual.com/poultry/enterococcosis/enterococcosis-in-poultry
- Guffanti P, Pifferi V, Falciola L, Ferrante V. VOCs in animal production systems: A review. Atmospheric Environment. 2018;175:100–108. https://doi.org/10.1016/j.atmosenv.2017.12.007
- Soltabayev B, Raiymbekov Y, Nuftolla A, et al. ZnO thin film properties and applications. Thin Solid Films. 2021;734:138846. https://doi.org/10.1016/j.tsf.2021.138846
- Soltabayev B, Yergaliuly G, Mentbayeva A, et al. CO₂ sensor sensitivity enhancement. ACS Sensors. 2024;9:1227–1238. https://doi.org/10.1021/acssensors.3c02059
- Tangirbergen A, Yergaliuly G, Wang Y, et al. MOS gas sensor design and structure–property relationships. Materials & Design. 2025;258:114647. https://doi.org/10.1016/j.matdes.2025.114647
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