ORIGINAL RESEARCH article
Front. Vet. Sci.
Sec. One Health
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1589900
This article is part of the Research TopicEthnomedicinal Strategies for Controlling Pathogen Colonization in Livestock: Integrating Traditional Practices into Modern Livestock Health ManagementView all articles
Integrated multi-omics analysis reveals that Gongying San ameliorates subclinical mastitis by modulating intestinal microbiota and metabolites in dairy cows
Provisionally accepted- 1Shanxi Agricultural University, Jinzhong, China
- 2Shanxi Academy of Medical Sciences, Taiyuan, Shanxi Province, China
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Subclinical mastitis (SCM) is a common disease in dairy cows associated with dysbiosis of the gastrointestinal microbiota and systemic inflammatory response. Gongying San (GYS), a commonly used herbal formula for the treatment of mastitis, has antiinflammatory, antibacterial and antioxidant effects, but the underlying mechanisms remain unknown. Therefore, we performed a multi-omics analysis to determine the effects of GYS on intestinal microbiota and metabolites in cows with SCM. Results showed that GYS significantly increased milk yield, lactose and milk protein, and decreased somatic cell count (SCC) in milk from cows with SCM. In the serum, GYS decreased the levels of lipopolysaccharide (LPS), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α) and malondialdehyde (MDA) and increased the concentration of superoxide dismutase (SOD). In addition, there was an increase in UCG-010 and Blautia and a decrease in Bacteroides, Lachnospiraceae and Agathobacter in faeces after GYS treatment. Faecal untargeted metabolomics showed that GYS supplementation mainly downregulated inflammation-related metabolism, including arachidonic acid and choline metabolism.
Keywords: dairy cows, Subclinical mastitis, Gongying San, intestinal microbiota, Metabonomics
Received: 25 Apr 2025; Accepted: 19 May 2025.
Copyright: © 2025 Zhao, Li, Huang, Cheng, Liu, Song and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruigao Song, Shanxi Agricultural University, Jinzhong, China
Xi Wang, Shanxi Agricultural University, Jinzhong, China
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