Journal of Angiotherapy
Angiogenesis, Inflammation & Therapeutics | Online ISSN  2207-872X
  1. You are here:
  2. Home
  3. Journals
  4. Biological Sciences
RESEARCH ARTICLE   (Open Access)
Contents Vol 8 (9)

Milk-Based Ointment Accelerates Wound Healing: A Comparative Study in Rabbits

Chiranjeev Singh 1*, Kunal Chandrakar 1

+ Author Affiliations

Journal of Angiotherapy 8 (9) 1-7 https://doi.org/10.25163/angiotherapy.899883

Submitted: 29 June 2024 Revised: 03 September 2024  Published: 10 September 2024 

Abstract

Background: Wound healing is a multi-stage process that restores tissue integrity following injury. While chemical treatments like phenytoin aid in healing, traditional remedies, such as milk-based applications, remain underexplored. Milk, particularly its proteins, is known for promoting tissue repair and collagen synthesis. This study evaluated the wound-healing efficacy of a milk-based ointment (MO) on open skin wounds in rabbits. Methods: Male New Zealand white rabbits were randomly assigned to six groups, including negative controls, placebo (eucerin), and 1% phenytoin, alongside three MO groups (2%, 5%, 10% concentrations). The treatments were applied twice daily for 14 days. Wound healing was assessed through macroscopic analysis, tensile strength measurement, hydroxyproline levels, and histological examination. Results: The 5% MO-treated group exhibited the fastest wound healing, achieving full closure in 15 days, outperforming both controls and the phenytoin-treated group (17 days). Hydroxyproline levels and tensile strength were significantly higher in the 5% MO group, indicating enhanced collagen production and stronger tissue regeneration. Histological analysis further confirmed accelerated epithelialization and granulation in MO-treated groups. Conclusion: The study demonstrated that milk-based ointments, particularly at a 5% concentration, significantly enhance wound healing, suggesting their potential as cost-effective, biocompatible alternatives to conventional chemical treatments like phenytoin. Further research is needed to explore clinical applications in humans.

Keywords: Milk-based ointment, Wound healing, Tissue regeneration, Collagen production, Hydroxyproline

References

Ceniti, C., Di Vito, A., Ambrosio, R. L., Anastasio, A., Bria, J., Britti, D., & Chiarella, E. (2024). Food safety assessment and nutraceutical outcomes of dairy by-products: Ovine milk whey as wound repair enhancer on injured human primary gingival fibroblasts. Foods, 13(5), 683.

Dong, R., & Guo, B. (2021). Smart wound dressings for wound healing. Nano Today, 41, 101290.

Forcina, L., Cosentino, M., & Musarò, A. (2020). Mechanisms regulating muscle regeneration: Insights into the interrelated and time-dependent phases of tissue healing. Cells, 9(5), 1297.

Huang, J., Heng, S., Zhang, W., Liu, Y., Xia, T., Ji, C., & Zhang, L. J. (2022, August). Dermal extracellular matrix molecules in skin development, homeostasis, wound regeneration, and diseases. Seminars in Cell & Developmental Biology, 128, 137-144.

Kazimierska, K., & Kalinowska-Lis, U. (2021). Milk proteins—their biological activities and use in cosmetics and dermatology. Molecules, 26(11), 3253.

Mansouri, S. (2023). Application of neural networks in the medical field. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 14(1), 69-81.

Minj, S., & Anand, S. (2020). Whey proteins and its derivatives: Bioactivity, functionality, and current applications. Dairy, 1(3), 233-258.

Nabeesab Mamdapur, G. M., Hadimani, M. B., Sheik, A. K., & Senel, E. (2019). The Journal of Horticultural Science and Biotechnology (2008-2017): A Scientometric Study. Indian Journal of Information Sources and Services, 9(1), 76–84.

Peña, O. A., & Martin, P. (2024). Cellular and molecular mechanisms of skin wound healing. Nature Reviews Molecular Cell Biology, 1-18.

Sierawska, O., Malkowska, P., Taskin, C., Hrynkiewicz, R., Mertowska, P., Grywalska, E., & Struzyna, J. (2022). Innate immune system response to burn damage—Focus on cytokine alteration. International Journal of Molecular Sciences, 23(2), 716.

Surendar, A., Veerappan, S., Sadulla, S., & Arvinth, N. (2024). Lung cancer segmentation and detection using KMP algorithm. Onkologia i Radioterapia, 18(4).

Wang, C., Shirzaei Sani, E., Shih, C. D., Lim, C. T., Wang, J., Armstrong, D. G., & Gao, W. (2024). Wound management materials and technologies from bench to bedside and beyond. Nature Reviews Materials, 1-17.

PDF
Abstract
Export Citation

View Dimensions


View Plumx


View Altmetric




Save
0
Citation
301
View

Share