Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems

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Year : 2026 | Volume : 4 | 01 | Page :
    By

    Md. Emran Hossain,

  1. Professor, Department of Animal Science and Nutrition, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University,, Chattogram, Bangladesh

Abstract

Sustainable livestock production is increasingly constrained by disease pressure, antimicrobial resistance, and declining feed efficiency under intensifying environmental stressors. Conventional nutritional strategies, while essential, remain insufficient to precisely regulate immune function and metabolic resilience. This review explores the emerging role of Monoclonal antibodies as advanced biologics in next generation animal nutrition, with a focus on mapping nutrient immune interaction networks in livestock systems. It synthesizes current knowledge on how nutrients modulate immune signaling pathways, including mTOR signaling pathway, NF kappa B signaling pathway, and JAK STAT pathway, and how these pathways intersect with antibody mediated immune regulation. The review further highlights the integration of monoclonal antibodies into nutritional frameworks to enhance pathogen control, regulate inflammation, and improve nutrient utilization efficiency. Particular emphasis is placed on the gut microbiota as a central mediator linking diet, immunity, and antibody driven responses. Advances in systems biology and omics technologies are discussed as tools for decoding complex nutrient immune networks and enabling precision livestock nutrition. Despite promising applications, challenges related to cost, delivery systems, scalability, and regulatory acceptance remain significant. Future directions include the development of species-specific antibody platforms, smart delivery mechanisms, and data driven modeling of immune nutritional interactions. Overall, this review positions monoclonal antibodies as transformative tools for optimizing animal health and productivity, contributing to sustainable and antibiotic reduced livestock production systems.

Keywords: Animal nutrition, gut microbiota, immune modulation, monoclonal antibodies, nutrient signaling, precision nutrition

How to cite this article:
Md. Emran Hossain. Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems. International Journal of Molecular Biotechnological Research. 2026; 04(01):-.
How to cite this URL:
Md. Emran Hossain. Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems. International Journal of Molecular Biotechnological Research. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijmbr/article=2026/view=241285


References

[1] G. Liu et al., “Development of canine parvovirus-neutralizing monoclonal antibodies from natural host and their germline gene usage,” Appl. Microbiol. Biotechnol., vol. 110, no. 1, Dec. 2026, doi: 10.1007/s00253-026-13784-3.

[2] L. Di Fabrizio et al., “Milk-Derived EVs from Different Animal Sources: An Overview on Their Detection, Isolation and Pleiotropic Exerted Effects,” Int. J. Mol. Sci., vol. 27, no. 4, 2026, doi: 10.3390/ijms27041938.

[3] J. Cao, X. Zhou, J. Liu, D. Liu, and G. Liu, “Single-Cell Multi-Omics Sequencing Technologies and Their Applications in Livestock and Poultry Research,” J. Agric. Food Chem., vol. 73, no. 51, pp. 32508–32520, Dec. 2025, doi: 10.1021/acs.jafc.5c13040.

[4] A. Nazir, F. H. N. Hussain, T. H. Nadeem Hussain, R. Al Dweik, and A. Raza, “Therapeutic targeting of the host-microbiota-immune axis: implications for precision health,” Front. Immunol., vol. 16, 2025, doi: 10.3389/fimmu.2025.1570233.

[5] J. A. M. Prates, M. Ezzaitouni, and J. L. Guil-Guerrero, “Marine Macroalgal Polysaccharides as Precision Tools for Health and Nutrition,” Phycology, vol. 5, no. 4, p. 58, 2025, doi: 10.3390/phycology5040058.

[6] S. B. Kumar, G. Goudar, M. Munikumar, S. R. Arnipalli, P. S. Yaduvanshi, and V. V. Panpatil, “Brucellosis in the omics era: integrative perspectives on Brucella genomic architecture, host-pathogen interactions, and disease dynamics,” World J. Microbiol. Biotechnol., vol. 41, no. 7, Jul. 2025, doi: 10.1007/s11274-025-04484-7.

[7] Y. Luo et al., “Bacteroides thetaiotaomicron: A symbiotic ally against diarrhea along with modulation of gut microbial ecological networks via tryptophan metabolism and AHR-Nrf2 signaling,” J. Adv. Res., 2025, doi: 10.1016/j.jare.2025.04.016.

[8] S. Cai et al., “Methionine regulates maternal-fetal immune tolerance and endometrial receptivity by enhancing embryonic IL-5 secretion,” Cell Rep., vol. 44, no. 2, 2025, doi: 10.1016/j.celrep.2025.115291.

[9] D. Aulia et al., “Safety Assessment of Camelid-Derived Single-Domain Antibody as Feed Additive for Juvenile Whiteleg Shrimp (Litopenaeus vannamei) Against White Spot Syndrome Virus,” Animals, vol. 14, no. 20, 2024, doi: 10.3390/ani14202965.

[10] J. Gao et al., “Immunomics in one health: understanding the human, animal, and environmental aspects of COVID-19,” Front. Immunol., vol. 15, 2024, doi: 10.3389/fimmu.2024.1450380.

[11] A. V. Capozzo, Y. Corripio-Miyar, and Y. Lemmer, “Insights from the 2023 International Veterinary Immunology Symposium: global perspectives at Kruger National Park,” Vet. Res., vol. 55, no. 1, p. 155, Nov. 2024, doi: 10.1186/s13567-024- 01409-4.

[12] A. Golonko et al., “Dietary factors and their influence on immunotherapy strategies in oncology: a comprehensive review,” Cell Death Dis., vol. 15, no. 4, 2024, doi: 10.1038/s41419-024-06641-6.

[13] S. Bertorello, F. Cei, D. Fink, E. Niccolai, and A. Amedei, “The Future Exploring of Gut Microbiome-Immunity Interactions: From In Vivo/Vitro Models to In Silico Innovations,” Microorganisms, vol. 12, no. 9, 2024, doi: 10.3390/microorganisms12091828.

[14] X. Wang, X. Gao, L. Wang, J. Lin, and Y. Liu, “Advances of Nanotechnology Toward Vaccine Development Against Animal Infectious Diseases,” Adv. Funct. Mater., vol. 33, no. 46, Nov. 2023, doi: 10.1002/adfm.202305061.

[15] S. Parthiban, T. Vijeesh, T. Gayathri, B. Shanmugaraj, A. Sharma, and R. Sathishkumar, “Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals,” frontiersin.org, vol. 14, 2023, doi: 10.3389/FPLS.2023.1252166/FULL.

[16] O. Jones-Nelson et al., “Antibacterial monoclonal antibodies do not disrupt the intestinal microbiome or its function,” Antimicrob. Agents Chemother., vol. 64, no. 5, pp. 10–1128, 2020, doi: 10.1128/AAC.02347-19.

[17] A. Vaisman-Mentesh, M. Gutierrez-Gonzalez, B. J. DeKosky, and Y. Wine, “The Molecular Mechanisms That Underlie the Immune Biology of Anti-drug Antibody Formation Following Treatment With Monoclonal Antibodies,” Front. Immunol., vol. 11, p. 1951, Aug. 2020, doi: 10.3389/fimmu.2020.01951.

[18] V. Palombo et al., “Unique adaptations in neonatal hepatic transcriptome, nutrient signaling, and one-carbon metabolism in response to feeding ethyl cellulose rumen- protected methionine during late-gestation in Holstein cows,” BMC Genomics, vol. 22, no. 1, p. 40, Dec. 2021, doi: 10.1186/s12864-021-07538-w.

[19] D. Gargano et al., “Food allergy and intolerance: a narrative review on nutritional concerns,” Nutrients, vol. 13, no. 5, 2021, doi: 10.3390/nu13051638.

[20] R. R. Ricardo-Gonzalez et al., “IL-4/STAT6 immune axis regulates peripheral nutrient metabolism and insulin sensitivity,” Proc. Natl. Acad. Sci. U. S. A., vol. 107, no. 52, pp. 22617–22622, Dec. 2010, doi: 10.1073/pnas.1009152108.

[21] L. V. Marks, The lock and key of medicine: Monoclonal antibodies and the transformation of healthcare. 2015. doi: 10.1093/jhmas/jrv044.

[22] T. Ahmed et al., “An evolving perspective about the origins of childhood undernutrition and nutritional interventions that includes the gut microbiome,” Ann. N. Y. Acad. Sci., vol. 1332, no. 1, pp. 22–38, Dec. 2014, doi: 10.1111/nyas.12487.

[23] S. Li et al., “Molecular signatures of antibody responses derived from a systems biology study of five human vaccines,” Nat. Immunol., vol. 15, no. 2, pp. 195–204, 2014, doi: 10.1038/ni.2789.

[24] T. Ozulumba, A. N. Montalbine, J. E. Ortiz-Cárdenas, and R. R. Pompano, “New tools for immunologists: models of lymph node function from cells to tissues,” Front. Immunol., vol. 14, no. 1, p. 1004, 2023, doi: 10.3389/fimmu.2023.1183286.

[25] J. H. Sun and P. Lu, “The potential of avian cytokines as immunotherapeutics and vaccine adjuvants,” Sheng Wu Gong Cheng Xue Bao, vol. 19, no. 2, pp. 141–146, 2003, Accessed: Apr. 25, 2026. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0165242701004147

[26] K. Hoelzer et al., “Vaccines as alternatives to antibiotics for food producing animals. Part 2: New approaches and potential solutions,” Vet. Res., vol. 49, no. 1, p. 70, Jul. 2018, doi: 10.1186/s13567-018-0561-7.

[27] K. Dhama et al., “A concept paper on novel technologies boosting production and safeguarding health of humans and animals,” Res. Opin. Anim. Vet. Sci., vol. 4, no. 7, pp. 353–370, 2014, Accessed: Apr. 25, 2026. [Online]. Available: https://www.academia.edu/download/51056779/A_concept_paper_on_novel_technolo gies_bo20161225-6471-zs0vjj.pdf

[28] M. Cuccato, “Department of Veterinary Sciences Application of Next-Generation Sequencing ( NGS ) as a new approach to study antimicrobial effects in farm animals,” pp. 2019–2022, 2022, Accessed: Apr. 25, 2026. [Online]. Available: https://tesidottorato.depositolegale.it/bitstream/20.500.14242/198670/1/tesi PhD Matteo finale 3 con ANNEX.pdf

[29] E. P. Cunningham, “The application of biotechnologies to enhance animal production in different farming systems,” Livest. Prod. Sci., vol. 58, no. 1, pp. 1–24, 1999, doi: 10.1016/S0301-6226(99)00007-X.

[30] W. Min, R. A. Dalloul, and H. S. Lillehoj, “Application of biotechnological tools for coccidia vaccine development.,” J. Vet. Sci. (Suwon-si, Korea), vol. 5, no. 4, pp. 279–288, 2004, doi: 10.4142/jvs.2004.5.4.279.

[31] J. E. Miller and D. W. Horohov, “Immunological aspects of nematode parasite control in sheep.,” J. Anim. Sci., vol. 84 Suppl, 2006, doi: 10.2527/2006.8413_supplE124x.

[32] G. Ij. Reyneveld, H. F. J. Savelkoul, and H. K. Parmentier, “Current Understanding of Natural Antibodies and Exploring the Possibilities of Modulation Using Veterinary Models. A Review,” Front. Immunol., vol. 11, p. 2139, Sep. 2020, doi: 10.3389/fimmu.2020.02139.

[33] A. M. Nyakeriga, M. Troye‐Blomberg, A. K. Chemtai, K. Marsh, and T. N. Williams, “Malaria and Nutritional Status in Children Living on the Coast of Kenya,” Scand. J. Immunol., vol. 59, no. 6, pp. 615–616, Apr. 2004, doi: 10.1111/j.0300- 9475.2004.01423o.x.

[34] M. Marchetti et al., “Iron metabolism at the interface between host and pathogen: From nutritional immunity to antibacterial development,” Int. J. Mol. Sci., vol. 21, no. 6, 2020, doi: 10.3390/ijms21062145.

[35] J. D. Allen and T. M. Ross, “Evaluation of Next-Generation H3 Influenza Vaccines in Ferrets Pre-Immune to Historical H3N2 Viruses,” Front. Immunol., vol. 12, Aug. 2021, doi: 10.3389/fimmu.2021.707339.

[36] A. P. Koets, S. Eda, and S. Sreevatsan, “The within host dynamics of Mycobacterium avium ssp. paratuberculosis infection in cattle: Where time and place matter Modeling Johne’s disease: From the inside out Dr Ad Koets and Prof Yrjo Grohn,” Vet. Res., vol. 46, no. 1, Jun. 2015, doi: 10.1186/s13567-015-0185-0.

[37] F. Prasetya and L. Hananta, “Nutrigenomics and Jamu: Integrating Nutritional Genomics with Indonesian Traditional Medicine for Precision, Preventive, and Systems-Oriented Health,” J. Trop. Pharm. …, 2025, [Online]. Available: http://jtpc.ff.unmul.ac.id/index.php/jtpc/article/view/320

[38] S. H. Zeisel, “Precision (personalized) nutrition: understanding metabolic heterogeneity,” 2020, annualreviews.org. doi: 10.1146/annurev-food-032519-051736.

[39] S. Zhang, C. Lai, J. Zhao, and J. Wang, “Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition,” Adv. Sci., 2025, doi: 10.1002/advs.202507564.

[40] A. Abeltino, D. Hatem, C. Serantoni, A. Riente, and …, “Unraveling the gut microbiota: Implications for precision nutrition and personalized medicine,” 2024, mdpi.com. [Online]. Available: https://www.mdpi.com/2072-6643/16/22/3806

[41] C. Losacco, G. Pugliese, L. Forte, V. Tufarelli, A. Maggiolino, and P. De Palo, “Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming,” Agric., vol. 15, no. 13, 2025, doi: 10.3390/agriculture15131383.

[42] A. L. Unger et al., “Harnessing the Magic of the Dairy Matrix for Next-Level Health Solutions: A Summary of a Symposium Presented at Nutrition 2022,” 2023, Elsevier. doi: 10.1016/j.cdnut.2023.100105.

[43] U. E. Obianwuna, “Phytobiotics in poultry: revolutionizing broiler chicken nutrition with plant-derived gut health enhancers,” 2024, [Online]. Available: http://files/2114/Obianwuna

[44] U. E. Obianwuna et al., “Phytobiotics in poultry: revolutionizing broiler chicken nutrition with plant-derived gut health enhancers,” J. Anim. Sci. Biotechnol., vol. 15, no. 1, p. 169, Feb. 2024, doi: 10.1186/s40104-024-01101-9.

[45] D. V Reddy and N. Krishna, “Precision animal nutrition: A tool for economic and eco- friendly animal production in ruminants,” 2009, lrrd.cipav.org.co. [Online]. Available: https://www.lrrd.cipav.org.co/lrrd21/3/redd21036.htm

[46] M. H. Kogut, “Role of diet-microbiota interactions in precision nutrition of the chicken: facts, gaps, and new concepts,” Poult. Sci., vol. 101, no. 3, p. 101673, 2022, doi: 10.1016/j.psj.2021.101673.

[47] I. Hotea, M. Dragomirescu, A. Berbecea, and I. Radulov, “The Role of Nutrition in Enhancing Sustainability in Sheep Production,” 2023, doi: 10.5772/intechopen.113938.

[48] A. Nawab et al., “Evaluation of Precision Feeding to Enhance Broiler Growth Performance,” Animals, vol. 15, no. 16, p. 2433, Feb. 2025, doi: 10.3390/ani15162433.

[49] F. T. Borsoi, L. F. Alves, and …, “A multi-omics approach to understand the influence of polyphenols in ovarian cancer for precision nutrition: a mini-review,” … Sci. Nutr., 2025, doi: 10.1080/10408398.2023.2287701.

[50] F. Fushai, T. Chitura, and O. E. Oke, “Climate-smart livestock nutrition in semi-arid Southern African agricultural systems,” Front. Vet. Sci., vol. 12, pp. 57–87, 2025, doi: 10.3389/fvets.2025.1507152.

[51] “Functional Genomics for Precision Livestock Nutrition:… – Google Scholar.” Accessed: Apr. 09, 2026. [Online]. Available: https://scholar.google.com/scholar?start=30&q=Functional+Genomics+for+Precision+ Livestock+Nutrition:+Leveraging+Molecular+and+Omics+Approaches+to+Develop+ Next-Generation+Feeding+Strategies&hl=en&as_sdt=0,5

[52] B. Keohavong, “Digital innovation integration into biotechnology for development of sustainable protein frontiers for poultry nutrition in a circular bioeconomy,” Poult. Sci., vol. 105, no. 2, 2026, doi: 10.1016/j.psj.2025.106276.

[53] S. Mills, C. Stanton, J. A. Lane, G. J. Smith, and R. P. Ross, “Precision nutrition and the microbiome, part I: Current state of the science,” Nutrients, vol. 11, no. 4, p. 923, 2019, doi: 10.3390/nu11040923.

[54] M. Kussmann, D. H. Abe Cunha, and S. Berciano, “Bioactive compounds for human and planetary health,” 2023, frontiersin.org. doi: 10.3389/fnut.2023.1193848.

[55] N. Ballet, J. C. Robert, and P. E. V. Williams, “Vitamins in forages.,” Forage Eval. Rumin. Nutr., pp. 399–431, 2000, doi: 10.1079/9780851993447.0399.

[56] P. S. Erickson, J. L. Anderson, K. F. Kalscheur, G. J. Lascano, M. S. Akins, and A. J. Heinrichs, “Symposium review: Strategies to improve the efficiency and profitability of heifer raising,” 2020, Elsevier. doi: 10.3168/jds.2019-17419.

[57] R. B. D’Eath et al., “Injurious tail biting in pigs: How can it be controlled in existing systems without tail docking?,” Animal, vol. 8, no. 9, pp. 1479–1497, 2014, doi: 10.1017/S1751731114001359.

[58] G. B. Martin, G. Fordyce, M. R. McGowan, and J. L. Juengel, “Perspectives for reproduction and production in grazing sheep and cattle in Australasia: The next 20 years,” Theriogenology, vol. 230, pp. 174–182, 2024, doi: 10.1016/j.theriogenology.2024.09.017.

[59] S. Zhang, C. Lai, J. Zhao, and J. Wang, “Big Data and AI-Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition,” Adv. Sci., vol. 12, no. 41, Nov. 2025, doi: 10.1002/advs.202507564.

[60] J. Wei, W. Ding, K. Song, Y. Zhang, Q. Luo, and C. Qi, “Next-generation probiotics and engineered BEVs for precision therapeutics in osteoporosis,” frontiersin.org, vol. 12, 2025, doi: 10.3389/FNUT.2025.1581971/FULL.

[61] S. Acheampong, “Future of Broiler Farming: Trends, Challenges, and Opportunities,” 2024, doi: http://dx.doi.org/10.5772/intechopen.1006556.

[62] M. E. A. El-Hack, A. A. Allam, A. K. Aldhalmi, and …, “Integrating metabolomics for precision nutrition in poultry: optimizing growth, feed efficiency, and health,” Front. Vet. …, 2025, doi: 10.3389/fvets.2025.1594749.

[63] S. W. Na and L. L. Guan, “Understanding the role of rumen epithelial host-microbe interactions in cattle feed efficiency,” 2022, Elsevier. doi: 10.1016/j.aninu.2022.04.002.

[64] M. Aamir Shahzad, “The need for national livestock surveillance in Pakistan,” J. Dairy Res., vol. 89, no. 1, pp. 13–18, 2022, doi: 10.1017/S0022029922000012.

[65] M. Aamir Shahzad, “The need for national livestock surveillance in Pakistan,” J. Dairy Res., vol. 89, no. 1, pp. 13–18, 2022, doi: 10.1017/S0022029922000012.

Ahead of Print Subscription Review Article
Volume 04
01
Received 25/04/2026
Accepted 25/04/2026
Published 29/04/2026
Publication Time 4 Days
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