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Yong K, Luo Z, Zhou Z, Huang Y, Zhang C, Cao S. Insights into the Regulatory Effect of Danggui Buxue Tang in Postpartum Dairy Cows Through an Integrated Analysis of Multi-Omics and Network Analysis. Life (Basel) 2025; 15:408. [PMID: 40141753 PMCID: PMC11944248 DOI: 10.3390/life15030408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 02/28/2025] [Accepted: 03/03/2025] [Indexed: 03/28/2025] Open
Abstract
Postpartum dairy cows often face significant challenges due to metabolic disorders. Danggui Buxue Tang (DBT), a botanical drug composed of Astragali radix and Angelica sinensis radix in a 5:1 ratio, has been recognized for its potential to alleviate metabolic disorders. Its regulatory mechanisms on livestock metabolic health have remained unexplored. This study integrated the analyses of serum pharmacochemistry, network pharmacology, serum metabolomics, and fecal microbiota to investigate the regulatory effects of DBT on metabolic adaptation in postpartum dairy cows. Following the oral administration of DBT, levels of blood non-esterified fatty acids and beta-hydroxybutyrate were decreased in multiparous dairy cows one week after calving. Five absorbed prototype metabolites of DBT were identified, specifically formononetin and nicotinic acid, both of which play roles in the regulation of lipid metabolic homeostasis. Furthermore, DBT modified the composition of the gut microbial community and glycerophospholipid levels. Decreases in serum phosphatidylethanolamine and phosphatidylcholine levels were closely correlated with the relative abundance of Bacillus and the concentration of circulating beta-hydroxybutyrate. These findings suggest that DBT contributes positively to metabolic health in postpartum dairy cows by regulating the gut microbiota and glycerophospholipid metabolism, providing new insights into strategies for promoting metabolic adaptation in dairy cows.
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Affiliation(s)
- Kang Yong
- College of Animal Science and Technology, Chongqing Three Gorges Vocational College, Chongqing 404155, China
| | - Zhengzhong Luo
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu 611130, China
| | - Zheng Zhou
- College of Animal Science and Technology, Chongqing Three Gorges Vocational College, Chongqing 404155, China
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Yixin Huang
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu 611130, China
| | - Chuanshi Zhang
- College of Animal Science and Technology, Chongqing Three Gorges Vocational College, Chongqing 404155, China
| | - Suizhong Cao
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, Chengdu 611130, China
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Wu JJ, Zheng X, Wu C, Ma W, Wang Y, Wang J, Wei Y, Zeng X, Zhang S, Guan W, Chen F. Melatonin alleviates high temperature exposure induced fetal growth restriction via the gut-placenta-fetus axis in pregnant mice. J Adv Res 2025; 68:131-146. [PMID: 38382594 PMCID: PMC11785557 DOI: 10.1016/j.jare.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/14/2024] [Accepted: 02/18/2024] [Indexed: 02/23/2024] Open
Abstract
INTRODUCTION Global warming augments the risk of adverse pregnancy outcomes in vulnerable expectant mothers. Pioneering investigations into heat stress (HS) have predominantly centered on its direct impact on reproductive functions, while the potential roles of gut microbiota, despite its significant influence on distant tissues, remain largely unexplored. Our understanding of deleterious mechanisms of HS and the development of effective intervention strategies to mitigate the detrimental impacts are still limited. OBJECTIVES In this study, we aimed to explore the mechanisms by which melatonin targets gut microbes to alleviate HS-induced reproductive impairment. METHODS We firstly evaluated the alleviating effects of melatonin supplementation on HS-induced reproductive disorder in pregnant mice. Microbial elimination and fecal microbiota transplantation (FMT) experiments were then conducted to confirm the efficacy of melatonin through regulating gut microbiota. Finally, a lipopolysaccharide (LPS)-challenged experiment was performed to verify the mechanism by which melatonin alleviates HS-induced reproductive impairment. RESULTS Melatonin supplementation reinstated gut microbiota in heat stressed pregnant mice, reducing LPS-producing bacteria (Aliivibrio) and increasing beneficial butyrate-producing microflora (Butyricimonas). This restoration corresponded to decreased LPS along the maternal gut-placenta-fetus axis, accompanied by enhanced intestinal and placental barrier integrity, safeguarding fetuses from oxidative stress and inflammation, and ultimately improving fetal weight. Further pseudo-sterile and fecal microbiota transplantation trials confirmed that the protective effect of melatonin on fetal intrauterine growth under HS was partially dependent on gut microbiota. In LPS-challenged pregnant mice, melatonin administration mitigated placental barrier injury and abnormal angiogenesis via the inactivation of the TLR4/MAPK/VEGF signaling pathway, ultimately leading to enhanced nutrient transportation in the placenta and thereby improving the fetal weight. CONCLUSION Melatonin alleviates HS-induced low fetal weight during pregnancy via the gut-placenta-fetus axis, the first time highlighting the gut microbiota as a novel intervention target to mitigate the detrimental impact of global temperature rise on vulnerable populations.
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Affiliation(s)
- Jia-Jin Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Henry Fok School of Biology and Agriculture, Shaoguan University, Shaoguan 512005, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Xiaoyu Zheng
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Caichi Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Wen Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yibo Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jun Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yulong Wei
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiangfang Zeng
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Center, China Agricultural University, Beijing 100193, PR China
| | - Shihai Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Wutai Guan
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Fang Chen
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China; National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China.
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Wang H, Liu Q, Abouelfetouh MM, Li H, Zhu H, Zhu C, Kiani FA, Ding Y. The role of the hypothalamus-gut microbiota in the pathogenesis of periparturient fatty liver disease in dairy cows. Vet J 2025; 309:106290. [PMID: 39675462 DOI: 10.1016/j.tvjl.2024.106290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 10/12/2024] [Accepted: 12/12/2024] [Indexed: 12/17/2024]
Abstract
During the periparturient period, dairy cows experience negative energy balance due to reduced feed intake, leading to adipose tissue breakdown, liver damage, and fat accumulation. This study examined the gut-liver-brain axis to explore the link between fatty liver disease, changes in hypothalamic appetite-related neurons, and microbiome shifts in dairy cows. Thirty cows were monitored, with daily DMI recordings and blood sampling. Postpartum brain, liver, and ileal contents were collected from 10 selected cows, divided into two groups: H-DMI (slight DMI decrease) and L-DMI (severe DMI decrease). The L-DMI group of cows exhibited higher plasma NEFA, BHBA, ALT, and AST levels, along with severe hepatic steatosis and lipid accumulation. Transcriptome sequencing of the hypothalamic arcuate nucleus (ARC) revealed decreased expression of Hypocretin Neuropeptide Precursor (HCRT), orexin-A (OX-A), Orexin Receptor Type 1 (OX1R), and Cannabinoid Receptor 1 (CB1) in the L-DMI group, while Pro-opiomelanocortin (POMC) and Melanocortin 4 Receptor (MC4R) expression increased. Metagenomic analysis of ileal contents showed reduced abundance of Ruminococcus spp. in the L-DMI group, which may be associated with fatty liver disease (FL). Integrated omics analysis showed that increased MC4R expression was correlated with the elevated abundance of bacteria such as Akkermansia glycaniphila, and reduced abundance of species such as Methanobrevubacter thaueri and Ruminococcus spp. Decreased HCRT expression was also linked to Akkermansia glycaniphila. In conclusion, these changes may affect DMI through the OX-A/POMC pathway, with neurological and gut microbiome alterations potentially leading to appetite suppression, negative energy balance, and the development of fatty liver disease.
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Affiliation(s)
- Haolong Wang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Qian Liu
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Mahmoud M Abouelfetouh
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Department of Surgery, Anesthesiology, and Radiology, Faculty of Veterinary Medicine, Benha University, Moshtohor 13736, Egypt
| | - Hao Li
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Hongmei Zhu
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Cong Zhu
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Faisal Ayub Kiani
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Department of Clinical Sciences, Faculty of Veterinary Sciences, Bahauddin Zakariya University, Pakistan
| | - Yi Ding
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
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Zhuang Y, Gao D, Jiang W, Xu Y, Liu G, Hou G, Chen T, Li S, Zhang S, Liu S, Wang J, Xiao J, Li M, Wang W, Li S, Cao Z. Core microbe Bifidobacterium in the hindgut of calves improves the growth phenotype of young hosts by regulating microbial functions and host metabolism. MICROBIOME 2025; 13:13. [PMID: 39819813 PMCID: PMC11740343 DOI: 10.1186/s40168-024-02010-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 12/17/2024] [Indexed: 01/19/2025]
Abstract
BACKGROUND The growth and health of young ruminants are regulated by their gut microbiome, which can have lifelong consequences. Compared with subjective grouping, phenotypic clustering might be a more comprehensive approach to revealing the relationship between calf growth state and core gut microbes. However, the identification of beneficial gut bacteria and its internal mechanisms of shaping host phenotype differentiation remains unclear. RESULTS In this study, calves were divided into two clusters, cluster1 and cluster2, based on 29 phenotypic indicators using cluster analysis. Calves in cluster2 showed better growth performance, including higher body weight (BW), average daily gain (ADG), and dry matter intake (DMI), as well as better serum indicators with a high level of total superoxide dismutase (T-SOD), interleukin-6 (IL-6), and insulin-like growth factor-1 (IGF-1) compared to those in cluster1. Multi-omics was used to detect microbial features among calves in different phenotypic clusters. Distinct differences were observed between the two clustered gut microbiomes, including microbial diversity and composition. The close relationships between growth performance, blood metabolites, and microbiome were also confirmed. In cluster2, Bifidobacterium members were the dominant contributors to microbial metabolic functions with a higher abundance. Furthermore, pathways involved in carbohydrate degradation, glycolysis, and biosynthesis of propionate and proteins were active, while methane production was inhibited. In addition, the diversity and richness of hindgut resistome in cluster2 were lower than those in cluster1. The isolation and culture of Bifidobacterium strain, as well as the mice experiment, indicated that B. longum 1109 from calf feces in cluster2 could promote the growth of young hosts, enhance their blood immunity and antioxidation, and improve the development of hindgut. CONCLUSIONS In summary, cluster analysis has proved to be a feasible and reliable approach for identifying phenotypic subgroups of calves, prompting further exploration of host-microbiome interactions. Bifidobacterium as a core microbe in the hindgut of calves may play a crucial probiotic role in host phenotypic differentiation. This study enhances our comprehension of how gut core microbe shapes the host phenotype and provides new insights into the manipulation of beneficial gut colonizers to improve the growth performance and productivity of young ruminants. Video Abstract.
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Affiliation(s)
- Yimin Zhuang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Duo Gao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Wen Jiang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Yiming Xu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Guanglei Liu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Guobin Hou
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Tianyu Chen
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shangru Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Siyuan Zhang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Shuai Liu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jingjun Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jianxin Xiao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mengmeng Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Wei Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shengli Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Zhijun Cao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Kou X, Liu Y, Xiang F, Zhang X, Khan MZ, Wu B, Wang H, Gong Y, Wang C, Ma Q, Li Y. Insights into the Donkey Hindgut Microbiome Using Metagenome-Assembled Genomes. Animals (Basel) 2024; 14:3625. [PMID: 39765529 PMCID: PMC11672655 DOI: 10.3390/ani14243625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 12/11/2024] [Accepted: 12/13/2024] [Indexed: 01/11/2025] Open
Abstract
The gut microbiota plays an important role in the digestion, absorption, and metabolism of nutrients, as well as in the immunity, health, and behavior of donkeys. While reference genomes and gut microbial gene catalogs have been helpful in understanding the composition of the donkey, there is still a significant gap in sequencing and understanding the functional aspects of donkey gut microbial genomes. In this study, we analyzed metagenomic sequencing data from 26 donkeys' gut samples and successfully assembled 844 microbial metagenome-assembled genomes (MAGs). Surprisingly, 678 (80.33%) of these MAGs appear to belong to previously unidentified species. Our analysis further revealed a total of 292,980 predicted carbohydrate-active enzymes (CAZymes) and 257,893 polysaccharide utilization loci (PULs). Interestingly, these enzymes and loci displayed relatively low similarity matches in public databases. We found that the higher abundances of 36 MAGs in the cecum (such as Prevotella, Desulfovibrio, Alistipes, and Treponema_D) and 9 MAGs in the dorsal colon (such as Limimorpha, Saccharofermentans, and Lactobacillus) were associated with a diverse array of carbohydrate-degrading pathways. Network analysis identified Prevotella and Dysosmobacter as connectors, while Saccharofermentans and Akkermansia were shown as provincial hubs. This suggests their crucial roles in complex carbohydrate degradation and hindgut metabolism in donkeys. These findings underscore the complexity of hindgut metabolism in donkeys and expand our understanding of their gut microbiome. Overall, this study provides a comprehensive catalog of donkey gut microbial genes, revealing novel carbohydrate-degrading enzymes and offering new insights for future research on the donkey gut microbiome.
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Affiliation(s)
- Xiyan Kou
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Yihong Liu
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Fokun Xiang
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Xinyue Zhang
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Muhammad Zahoor Khan
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Boxian Wu
- Shandong Dong’e Black Donkey Husbandry Technology Co., Ltd., Liaocheng 252000, China
| | - Hua Wang
- Shandong Dong’e Black Donkey Husbandry Technology Co., Ltd., Liaocheng 252000, China
| | - Yanlin Gong
- Shandong Dong’e Black Donkey Husbandry Technology Co., Ltd., Liaocheng 252000, China
| | - Changfa Wang
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Qingshan Ma
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
| | - Yan Li
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
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Zhuang Y, Liu S, Xiao J, Chen T, Gao D, Xu Y, Jiang W, Wang J, Hou G, Li S, Zhao X, Huang Y, Li S, Zhang S, Li M, Wang W, Li S, Cao Z. Metagenomics reveals the characteristics and potential spread of microbiomes and virulence factor genes in the dairy cattle production system. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136005. [PMID: 39369676 DOI: 10.1016/j.jhazmat.2024.136005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 09/13/2024] [Accepted: 09/28/2024] [Indexed: 10/08/2024]
Abstract
Virulence factor genes (VFGs) pose a potential threat to ecological security and animal health, and have attracted increasing attention in the livestock industry. As one of the primary livestock types, dairy cattle may be an important source of VFG transmission. However, the distribution, transmission, and evolution of VFGs in the gastrointestinal tract and surrounding environment of dairy cattle remain unclear. In the present study, a total of 263 samples were collected from cows, calves, colostrum, farm wastewater, and soil. Metagenomics was conducted to analyze changes in the microbiome and VFGs characteristics in these ecological niches. The VFGs of the cows showed distinct differences between the rumen and feces, and were influenced by the region. The dominant VFG hosts was regulated by their microbial structure. Colostrum administration of cows increased VFG abundance in their newborn calf feces sharply and Enterobacteriaceae became the primary host. While diet was the primary driving force for the temporal variation in calf VFGs. For samples of the surrounding environment, water and soil had higher VFG concentrations and were more structurally stable. Moreover, extensive interactions between the mobile genetic elements and VFGs and gene mobile analysis map based on metagenomic binning both displayed the potential horizontal transfer ability of VFGs in the cows and environment. Our study revealed the prevalence, diffusion, and regulatory factors of VFGs in dairy cattle production systems, providing novel insights into reducing livestock VFGs and limiting their spread.
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Affiliation(s)
- Yimin Zhuang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shuai Liu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jianxin Xiao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Tianyu Chen
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Duo Gao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yiming Xu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Wen Jiang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Jingjun Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guobin Hou
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science and Technology, Beijing University of Agriculture, Beijing 102206, China
| | - Sumin Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xinjie Zhao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yanting Huang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shangru Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Siyuan Zhang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Mengmeng Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Wei Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shengli Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Zhijun Cao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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Yu G, Xu C, Wang X, Ju F, Fu J, Ni Y. MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins. IMETA 2024; 3:e246. [PMID: 39742299 PMCID: PMC11683456 DOI: 10.1002/imt2.246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 10/23/2024] [Accepted: 10/25/2024] [Indexed: 01/03/2025]
Abstract
First introduced in 2021, MetOrigin has quickly established itself as a powerful web server to distinguish microbial metabolites and identify the bacteria responsible for specific metabolic processes. Building on the growing understanding of the interplay between the microbiome and metabolome, and in response to user feedback, MetOrigin has undergone a significant upgrade to version 2.0. This enhanced version incorporates three new modules: (1) Quick search module that facilitates the rapid identification of bacteria associated with a particular metabolite; (2) Orthology analysis module that links metabolic enzyme genes with their corresponding bacteria; (3) Mediation analysis module that investigates potential causal relationships among bacteria, metabolites, and phenotypes, highlighting the mediating role of metabolites. Additionally, the backend MetOrigin database has been updated with the latest data from seven public databases (KEGG, HMDB, BIGG, ChEBI, FoodDB, Drugbank, and T3DB), with expanded coverage of 210,732 metabolites, each linked to its source organism. MetOrigin 2.0 is freely accessible at http://metorigin.met-bioinformatics.cn.
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Affiliation(s)
- Gang Yu
- Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Cuifang Xu
- Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Xiaoyan Wang
- Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Feng Ju
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of EngineeringWestlake UniversityHangzhouChina
| | - Junfen Fu
- Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Yan Ni
- Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
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Luan J, Feng X, Du Y, Yang D, Geng C. Medium-chain fatty acid triglycerides improve feed intake and oxidative stress of finishing bulls by regulating ghrelin concentration and gastrointestinal tract microorganisms and rumen metabolites. MICROBIOME 2024; 12:230. [PMID: 39511583 PMCID: PMC11542207 DOI: 10.1186/s40168-024-01946-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 10/09/2024] [Indexed: 11/15/2024]
Abstract
BACKGROUND As a feed additive, medium-chain fatty acids (MCFAs)/medium-chain fatty acid triglycerides (MCTs) have been used in ruminant production, but mostly added in the form of mixed esters. Studies have shown that MCTs may have a positive effect on feed intake or oxidative stress in animals, but it is unclear which MCT could play a role, and the mechanism has not been elucidated. In this study, the effects of individual MCT on growth performance, serum intake-related hormones, and oxidative stress indices in finishing bulls were investigated and further studied the effects of MCT supplementation on gastrointestinal tract bacteria and rumen fluid metabolomics. RESULTS Four ruminally fistulated Yanbian cattle (bulls) were selected in 4 × 4 Latin square designs and allocated to four treatment groups: a control group (CON) fed a basal diet (total mixed ration, TMR), three groups fed a basal diet supplemented with 60 g/bull/day glycerol monocaprylin (GMC, C8), glycerol monodecanoate (GMD, C10), and glycerol monolaurate (GML, C12), respectively. Compared with the CON group, GMD tended to increase the dry matter intake (DMI) of finishing bulls (P = 0.069). Compared with the CON group, GMD significantly increased the concentration of ghrelin O-acyl transferase (GOAT), total ghrelin (TG), acylated ghrelin (AG), and orexins (P < 0.05) and significantly decreased the concentrations of hydrogen peroxide (H2O2), malondialdehyde, reactive oxygen species (ROS), and lipopolysaccharides (LPS) in the serum of finishing bulls (P < 0.05). Compared with the CON group, GMD and GML significantly increased the concentrations of total antioxidant capacity (T-AOC), catalase, glutathione peroxidase (GSH-PX), glutathione reductase (GR), and nitric oxide (NO) in the serum of finishing bulls (P < 0.05). Compared with the CON group, there were 5, 14, and 6 significantly different bacteria in the rumen digesta in the C8, C10, and C12 groups, respectively; there were 3, 10, and 5 significantly different bacteria in the rumen fluid in the C8, C10, and C12 groups, respectively; and only one differential bacteria (genus level) in the feces among the four treatment groups. Compared with the CON group, there were 3, 14, and 15 significantly differential metabolites identified under positive ionization mode in the C8, C10, and C12 groups, respectively, while under negative ionization mode were 3, 11 and 14, respectively. Correlation analysis showed that there was a significant correlation between DMI, GOAT, AG, GSH-PX, LPS, gastrointestinal tract bacteria, and rumen fluid metabolites. CONCLUSIONS Our findings revealed that different types of MCTs have different application effects in ruminants. Among them, GMD may improve the feed intake of finishing bulls by stimulating the secretion of AG. GMD and GML may change gastrointestinal tract microorganisms and produce specific rumen metabolites to improve the oxidative stress of finishing bulls, and ghrelin may also be involved. This study enlightens the potential mechanisms by which MCT improves feed intake and oxidative stress in finishing bulls. Video Abstract.
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Affiliation(s)
- Jiaming Luan
- Agricultural College, Yanbian University, Yanji, 133002, China
| | - Xin Feng
- Agricultural College, Yanbian University, Yanji, 133002, China
| | - Yunlong Du
- Agricultural College, Yanbian University, Yanji, 133002, China
| | - Dongxu Yang
- Agricultural College, Yanbian University, Yanji, 133002, China
| | - Chunyin Geng
- Agricultural College, Yanbian University, Yanji, 133002, China.
- Engineering Research Center of North-East Cold Region Beef Cattle Science & Technology Innovation, Ministry of Education, Yanbian University, Yanji, 133002, China.
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Zhuang Y, Liu S, Gao D, Xu Y, Jiang W, Hou G, Li S, Zhao X, Chen T, Li S, Zhang S, Huang Y, Wang J, Xiao J, Li M, Wang W, Li S, Cao Z. Maternal gastrointestinal microbiome shapes gut microbial function and resistome of newborns in a cow-to-calf model. MICROBIOME 2024; 12:216. [PMID: 39438998 PMCID: PMC11495063 DOI: 10.1186/s40168-024-01943-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 10/02/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND The maternal gut microbiome is the direct and important source of early colonization and development of the neonatal gut microbiome. However, differences in unique and shared features between mothers with different physiological phenotypes and their newborns still lack exhaustive investigation. Here, using a cow-to-calf model, a comprehensive investigation was conducted to elucidate the pattern and characterization of microbial transfer from the maternal source to the offspring. RESULTS The microbiota in the rumen and feces of dairy cows were divided into two clusters via enterotype analysis. The cows from the enterotype distinguished by Prevotella in the rumen had better production performance, whereas no difference was observed in the cows classified by feces enterotype. Furthermore, through a pairwise combination of fecal and ruminal enterotypes, we screened a group of dairy cows with excellent phenotypes. The gastrointestinal microbiomes of cows with different phenotypes and their offspring differed significantly. The rumen was a more important microbial source for meconium than feces. Transmission of beneficial bacteria from mother to offspring was observed. Additionally, the meconium inherits advantageous metabolic functions of the rumen. The resistome features of the rumen, feces, and meconium were consistent, and resistome abundance from cows to calves showed an expanding trend. The interaction between antibiotic-resistance genes and mobile genetic elements from the rumen to meconium was the most remarkable. The diversity of core metabolites from cows to calves was stable and not affected by differences in phenotypes. However, the abundance of specific metabolites varied greatly. CONCLUSIONS Our study demonstrates the microbial taxa, metabolic function, and resistome characteristics of maternal and neonatal microbiomes, and reveals the potential vertical transmission of the microbiome from a cow-to-calf model. These findings provide new insights into the transgenerational transmission pattern of the microbiome. Video Abstract.
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Affiliation(s)
- Yimin Zhuang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shuai Liu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Duo Gao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yiming Xu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Wen Jiang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Guobin Hou
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Sumin Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xinjie Zhao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Tianyu Chen
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shangru Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Siyuan Zhang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- College of Animal Science, Xinjiang Uygur Autonomous Region 830052, Xinjiang Agricultural University, Urumqi, China
| | - Yanting Huang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jingjun Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jianxin Xiao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
- Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mengmeng Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Wei Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shengli Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Zhijun Cao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Gao J, Lv D, Wu Z, Sun Z, Sun X, Liu S, Tan Z, Zhu W, Cheng Y. Dietary phytosterols improves the metabolic status of perinatal cows as evidenced by plasma metabolomics and faecal microbial metabolism. Anim Biosci 2024; 37:1759-1769. [PMID: 38665074 PMCID: PMC11366515 DOI: 10.5713/ab.23.0422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/06/2024] [Accepted: 03/28/2024] [Indexed: 09/03/2024] Open
Abstract
OBJECTIVE Previous research reported that dietary addition with phytosterols improved the energy utilisation of the rumen microbiome, suggesting its potential to alleviate the negative energy balance of perinatal cows. This experiment aimed to explore the effects of feeding phytosterols on the metabolic status of perinatal cows through plasma metabolomics and faecal bacteria metabolism. METHODS Ten perinatal Holstein cows (multiparous, 2 parities) with a similar calving date were selected four weeks before calving. After 7 days for adaptation, cows were allocated to two groups (n = 5), which respectively received the basal rations supplementing commercial phytosterols at 0 and 200 mg/d during a 42-day experiment. The milk yield of each cow was recorded daily after calving. On days 1 and 42, blood and faeces samples were all collected from perinatal cows before morning feeding for analysing plasma biochemicals and metabolome, and faecal bacteria metabolism. RESULTS Dietary addition with phytosterols at 200 mg/d had no effects on plasma cholesterol and numerically increased milk yield by 1.82 kg/d (p>0.10) but attenuated their negative energy balance in perinatal cows as observed from the significantly decreased plasma level of β-hydroxybutyric acid (p = 0.002). Dietary addition with phytosterols significantly altered 12 and 15 metabolites (p<0.05) within the plasma and faeces of perinatal cows, respectively. Of these metabolites, 5 upregulated plasma fatty acids indicated an improved energy status (i.e., C18:1T, C14:0, C17:0, C18:0, and C16:0). Milk yield negatively correlated with plasma concentrations of ketone bodies (p = 0.035) and 5-methoxytryptamine (p = 0.039). Furthermore, dietary addition with phytosterols at 200 mg/d had no effects on fermentation characteristics and bacterial diversity of cow faeces (p>0.10) but improved potentially beneficial bacteria such as Christensenellaceae family (p<0.05) that positively correlated with feed efficiency. CONCLUSION Dietary addition with phytosterols at 200 mg/d could effectively improve the energy status in perinatal cows by attenuating their negative energy balance.
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Affiliation(s)
- Jian Gao
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Donghai Lv
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Zichen Wu
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Zhanying Sun
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Xiaoni Sun
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Suozhu Liu
- College of Animal Science, Tibet Agricultural and Husbandry University, Nyingchi 860000,
China
| | - Zhankun Tan
- College of Animal Science, Tibet Agricultural and Husbandry University, Nyingchi 860000,
China
| | - Weiyun Zhu
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
| | - Yanfen Cheng
- Laboratory of Gastrointestinal Microbiology, National Centre for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095,
China
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11
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Brulin L, Ducrocq S, Estellé J, Even G, Martel S, Merlin S, Audebert C, Croiseau P, Sanchez MP. The fecal microbiota of Holstein cows is heritable and genetically correlated to dairy performances. J Dairy Sci 2024:S0022-0302(24)01113-5. [PMID: 39245169 DOI: 10.3168/jds.2024-25003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 08/08/2024] [Indexed: 09/10/2024]
Abstract
The fecal microbiota of ruminants constitutes a diversified community that has been phenotypically associated with a variety of host phenotypes, such as production and health. To gain a better understanding of the complex and interconnected factors that drive the fecal bacterial community, we have aimed to estimate the genetic parameters of the diversity and composition of the fecal microbiota, including heritabilities, genetic correlations among taxa, and genetic correlations between fecal microbiota features and host phenotypes. To achieve this, we analyzed a large population of 1,875 Holstein cows originating from 144 French commercial herds and routinely recorded for production, somatic cell score, and fertility traits. Fecal samples were collected from the animals and subjected to 16S rRNA gene sequencing, with reads classified into Amplicon Sequence Variants (ASVs). The estimated α- and β-diversity indices (i.e., Observed Richness, Shannon index, Bray-Curtis and Jaccard dissimilarity matrices) and the abundances of ASVs, genera, families and phyla, normalized by centered-log ratio (CLR), were considered as phenotypes. Genetic parameters were calculated using either univariate or bivariate animal models. Heritabilities estimates, ranging from 0.08 to 0.31 for taxa abundances and β-diversity indices, highlight the influence of the host genetics on the composition of the fecal microbiota. Furthermore, genetic correlations estimated within the microbial community and between microbiota features and host traits reveal the complex networks linking all components of the fecal microbiota together and to their host, thus strengthening the holobiont concept. By estimating the heritabilities of microbiota-associated phenotypes, our study quantifies the impact of the host genetics on the fecal microbiota composition. In addition, genetic correlations between taxonomic groups and between taxa abundances and host performance suggest potential applications for selective breeding to improve host traits or promote a healthier microbiota.
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Affiliation(s)
- L Brulin
- GD Biotech - Gènes Diffusion, Lille, 59000, France; Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France.
| | - S Ducrocq
- GD Biotech - Gènes Diffusion, Lille, 59000, France; PEGASE-Biosciences, Institut Pasteur de Lille, 1 Rue du Professeur Calmette, 59019, Lille, France
| | - J Estellé
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - G Even
- GD Biotech - Gènes Diffusion, Lille, 59000, France; PEGASE-Biosciences, Institut Pasteur de Lille, 1 Rue du Professeur Calmette, 59019, Lille, France
| | - S Martel
- GD Biotech - Gènes Diffusion, Lille, 59000, France; PEGASE-Biosciences, Institut Pasteur de Lille, 1 Rue du Professeur Calmette, 59019, Lille, France
| | - S Merlin
- GD Biotech - Gènes Diffusion, Lille, 59000, France; PEGASE-Biosciences, Institut Pasteur de Lille, 1 Rue du Professeur Calmette, 59019, Lille, France
| | - C Audebert
- GD Biotech - Gènes Diffusion, Lille, 59000, France; PEGASE-Biosciences, Institut Pasteur de Lille, 1 Rue du Professeur Calmette, 59019, Lille, France
| | - P Croiseau
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - M P Sanchez
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
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12
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Zhang C, Zhao Y, Guo S, Li F, Gong X, Gao J, Jiang L, Tong J. Comparison of lipidome profiles in serum from lactating dairy cows supplemented with Acremonium terrestris culture based on UPLC-QTRAP-MS/MS. BMC Biotechnol 2024; 24:56. [PMID: 39135176 PMCID: PMC11318124 DOI: 10.1186/s12896-024-00881-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 07/23/2024] [Indexed: 08/16/2024] Open
Abstract
This study evaluated the effects of supplementing the diet of lactating cows with Acremonium terrestris culture (ATC) on milk production, serum antioxidant capacity, inflammatory indices, and serum lipid metabolomics. Over 90 days, 24 multiparous Chinese Holstein cows in mid-lactation (108 ± 10.4 days in milk, 637 ± 25 kg body weight, 30.23 ± 3.7 kg/d milk yield) were divided into either a control diet (CON) or a diet supplemented with 30 g of ATC daily. All the data were analyzed using Student's t test with SPSS 20.0 software. The results showed that compared with CON feeding, ATC feeding significantly increased milk yield, antioxidant capacity, and immune function. Lipidome screening identified 143 lipid metabolites that differed between the two groups. Further analysis using "random forest" machine learning revealed three glycerophospholipid serum metabolites that could serve as lipid markers with a predictive accuracy of 91.67%. This study suggests that ATC can be a useful dietary supplement for improving lactational performance in dairy cows and provides valuable insights into developing nutritional strategies to maintain metabolic homeostasis in ruminants.
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Affiliation(s)
- Chenmiao Zhang
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Yiran Zhao
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Shijiao Guo
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Feifei Li
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Xu Gong
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Jiarui Gao
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Linshu Jiang
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China
| | - Jinjin Tong
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, 102206, P. R. China.
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13
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Xu SY, Feng XR, Zhao W, Bi YL, Diao QY, Tu Y. Rumen and hindgut microbiome regulate average daily gain of preweaning Holstein heifer calves in different ways. MICROBIOME 2024; 12:131. [PMID: 39030599 PMCID: PMC11264748 DOI: 10.1186/s40168-024-01844-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 05/23/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND The average daily gain (ADG) of preweaning calves significantly influences their adult productivity and reproductive performance. Gastrointestinal microbes are known to exert an impact on host phenotypes, including ADG. The aim of this study was to investigate the mechanisms by which gastrointestinal microbiome regulate ADG in preweaning calves and to further validate them by isolating ADG-associated rumen microbes in vitro. RESULTS Sixteen Holstein heifer calves were selected from a cohort with 106 calves and divided into higher ADG (HADG; n = 8) and lower ADG (LADG; n = 8) groups. On the day of weaning, samples of rumen contents, hindgut contents, and plasma were collected for rumen metagenomics, rumen metabolomics, hindgut metagenomics, hindgut metabolomics, and plasma metabolomics analyses. Subsequently, rumen contents of preweaning Holstein heifer calves from the same dairy farm were collected to isolate ADG-associated rumen microbes. The results showed that the rumen microbes, including Pyramidobacter sp. C12-8, Pyramidobacter sp. CG50-2, Pyramidobacter porci, unclassified_g_Pyramidobacter, Pyramidobacter piscolens, and Acidaminococcus fermentans, were enriched in the rumen of HADG calves (LDA > 2, P < 0.05). Enrichment of these microbes in HADG calves' rumen promoted carbohydrate degradation and volatile fatty acid production, increasing proportion of butyrate in the rumen and ultimately contributing to higher preweaning ADG in calves (P < 0.05). The presence of active carbohydrate degradation in the rumen was further suggested by the negative correlation of the rumen microbes P. piscolens, P. sp. C12-8 and unclassified_g_Pyramidobacter with the rumen metabolites D-fructose (R < - 0.50, P < 0.05). Widespread positive correlations were observed between rumen microbes (such as P. piscolens, P. porci, and A. fermentans) and beneficial plasma metabolites (such as 1-pyrroline-5-carboxylic acid and 4-fluoro-L-phenylalanine), which were subsequently positively associated with the growth rate of HADG calves (R > 0.50, P < 0.05). We succeeded in isolating a strain of A. fermentans from the rumen contents of preweaning calves and named it Acidaminococcus fermentans P41. The in vitro cultivation revealed its capability to produce butyrate. In vitro fermentation experiments demonstrated that the addition of A. fermentans P41 significantly increased the proportion of butyrate in the rumen fluid (P < 0.05). These results further validated our findings. The relative abundance of Bifidobacterium pseudolongum in the hindgut of HADG calves was negatively correlated with hindgut 4-hydroxyglucobrassicin levels, which were positively correlated with plasma 4-hydroxyglucobrassicin levels, and plasma 4-hydroxyglucobrassicin levels were positively correlated with ADG (P < 0.05). CONCLUSIONS This study's findings unveil that rumen and hindgut microbes play distinctive roles in regulating the preweaning ADG of Holstein heifer calves. Additionally, the successful isolation of A. fermentans P41 not only validated our findings but also provided a valuable strain resource for modulating rumen microbes in preweaning calves. Video Abstract.
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Affiliation(s)
- Sheng-Yang Xu
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China
| | - Xiao-Ran Feng
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China
| | - Wei Zhao
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China
| | - Yan-Liang Bi
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China
| | - Qi-Yu Diao
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China
| | - Yan Tu
- Institute of Feed Research, Chinese Academy of Agricultural Sciences/Sino-US Joint Lab On Nutrition and Metabolism of Ruminant/Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, People's Republic of China.
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Yu Q, Wang H, Qin L, Wang T, Zhang Y, Sun Y. Interpretable machine learning reveals microbiome signatures strongly associated with dairy cow milk urea nitrogen. iScience 2024; 27:109955. [PMID: 38840841 PMCID: PMC11152649 DOI: 10.1016/j.isci.2024.109955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/10/2024] [Accepted: 05/08/2024] [Indexed: 06/07/2024] Open
Abstract
The gut microbiome plays an important role in the healthy and efficient farming of dairy cows. However, high-dimensional microbial information is difficult to interpret in a simplified manner. We collected fecal samples from 161 cows and performed 16S amplicon sequencing. We developed an interpretable machine learning framework to classify individuals based on their milk urea nitrogen (MUN) concentrations. In this framework, we address the challenge of handling high-dimensional microbial data imbalances and identify 9 microorganisms strongly correlated with MUN. We introduce the Shapley Additive Explanations (SHAP) method to provide insights into the machine learning predictions. The results of the study showed that the performance of the machine learning model improved (accuracy = 72.7%) after feature selection on high-dimensional data. Among the 9 microorganisms, g__Firmicutes_unclassified had the greatest impact in the model. This study provides a reference for precision animal husbandry.
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Affiliation(s)
- Qingyuan Yu
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
| | - Hui Wang
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
| | - Linqing Qin
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
| | - Tianlin Wang
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
| | - Yonggen Zhang
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
| | - Yukun Sun
- College of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150030, China
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Zhao GP, Cheng WL, Zhang ZH, Li YX, Li YQ, Yang FW, Wang YB. The use of amino acids and their derivates to mitigate against pesticide-induced toxicity. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 276:116340. [PMID: 38636261 DOI: 10.1016/j.ecoenv.2024.116340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/11/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
Exposure to pesticides induces oxidative stress and deleterious effects on various tissues in non-target organisms. Numerous models investigating pesticide exposure have demonstrated metabolic disturbances such as imbalances in amino acid levels within the organism. One potentially effective strategy to mitigate pesticide toxicity involves dietary intervention by supplementing exogenous amino acids and their derivates to augment the body's antioxidant capacity and mitigate pesticide-induced oxidative harm, whose mechanism including bolstering glutathione synthesis, regulating arginine-NO metabolism, mitochondria-related oxidative stress, and the open of ion channels, as well as enhancing intestinal microecology. Enhancing glutathione synthesis through supplementation of substrates N-acetylcysteine and glycine is regarded as a potent mechanism to achieve this. Selection of appropriate amino acids or their derivates for supplementation, and determining an appropriate dosage, are of the utmost importance for effective mitigation of pesticide-induced oxidative harm. More experimentation is required that involves large population samples to validate the efficacy of dietary intervention strategies, as well as to determine the effects of amino acids and their derivates on long-term and low-dose pesticide exposure. This review provides insights to guide future research aimed at preventing and alleviating pesticide toxicity through dietary intervention of amino acids and their derivates.
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Affiliation(s)
- Guo-Ping Zhao
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China.
| | - Wei-Long Cheng
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, China
| | - Zhi-Hui Zhang
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, China
| | - Yi-Xuan Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; National Center of Technology Innovation for Dairy, Inner Mongolia 013757, China
| | - Ying-Qiu Li
- School of Food Science and Engineering, Qilu University of Technology, Jinan 250353, China
| | - Fang-Wei Yang
- College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing, 210037, China
| | - Yan-Bo Wang
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
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Luo Z, Du Z, Huang Y, Zhou T, Wu D, Yao X, Shen L, Yu S, Yong K, Wang B, Cao S. Alterations in the gut microbiota and its metabolites contribute to metabolic maladaptation in dairy cows during the development of hyperketonemia. mSystems 2024; 9:e0002324. [PMID: 38501812 PMCID: PMC11019918 DOI: 10.1128/msystems.00023-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/01/2024] [Indexed: 03/20/2024] Open
Abstract
Metabolic maladaptation in dairy cows after calving can lead to long-term elevation of ketones, such as β-hydroxybutyrate (BHB), representing the condition known as hyperketonemia, which greatly influences the health and production performance of cows during the lactation period. Although the gut microbiota is known to alter in dairy cows with hyperketonemia, the association of microbial metabolites with development of hyperketonemia remains unknown. In this study, we performed a multi-omics analysis to investigate the associations between fecal microbial community, fecal/plasma metabolites, and serum markers in hyperketonemic dairy cows during the transition period. Dynamic changes in the abundance of the phyla Verrucomicrobiota and Proteobacteria were detected in the gut microbiota of dairy cows, representing an adaptation to enhanced lipolysis and abnormal glucose metabolism after calving. Random forest and univariate analyses indicated that Frisingicoccus is a key bacterial genus in the gut of cows during the development of hyperketonemia, and its abundance was positively correlated with circulating branched-chain amino acid levels and the ketogenesis pathway. Taurodeoxycholic acid, belonging to the microbial metabolite, was strongly correlated with an increase in blood BHB level, and the levels of other secondary bile acid in the feces and plasma were altered in dairy cows prior to the diagnosis of hyperketonemia, which link the gut microbiota and hyperketonemia. Our results suggest that alterations in the gut microbiota and its metabolites contribute to excessive lipolysis and insulin insensitivity during the development of hyperketonemia, providing fundamental knowledge about manipulation of gut microbiome to improve metabolic adaptability in transition dairy cows.IMPORTANCEAccumulating evidence is pointing to an important association between gut microbiota-derived metabolites and metabolic disorders in humans and animals; however, this association in dairy cows from late gestation to early lactation is poorly understood. To address this gap, we integrated longitudinal gut microbial (feces) and metabolic (feces and plasma) profiles to characterize the phenotypic differences between healthy and hyperketonemic dairy cows from late gestation to early lactation. Our results demonstrate that cows underwent excessive lipid mobilization and insulin insensitivity before hyperketonemia was evident. The bile acids are functional readouts that link gut microbiota and host phenotypes in the development of hyperketonemia. Thus, this work provides new insight into the mechanisms involved in metabolic adaptation during the transition period to adjust to the high energy and metabolic demands after calving and during lactation, which can offer new strategies for livestock management involving intervention of the gut microbiome to facilitate metabolic adaptation.
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Affiliation(s)
- Zhengzhong Luo
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Zhenlong Du
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Yixin Huang
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Tao Zhou
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Dan Wu
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Xueping Yao
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Liuhong Shen
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Shumin Yu
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Kang Yong
- College of Animal Science and Technology, Chongqing Three Gorges Vocational College, Chongqing, China
| | - Baoning Wang
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Suizhong Cao
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
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17
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Boll EJ, Copani G, Cappellozza BI. Bacillus paralicheniformis 809 and Bacillus subtilis 810 support in vitro intestinal integrity under hydrogen peroxide and deoxynivalenol challenges. Transl Anim Sci 2024; 8:txae061. [PMID: 38685987 PMCID: PMC11056882 DOI: 10.1093/tas/txae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024] Open
Abstract
We designed and conducted two in vitro experiments to evaluate the effects of two Bacillus spp. probiotics on gut barrier integrity using the transepithelial electrical resistance (TEER) assay under two different challenge models. In Exp. 1, intestinal epithelial cells received or not (CON) B. paralicheniformis 809 (BLI) or B. subtilis 810 (BSU) at a rate of 1 × 108 colony forming units (CFU)/transwell. Two hours after treatment application (CON, BLI, or BSU), 5 mM of the reactive oxygen species hydrogen peroxide, mimicking mucosal oxidative stress, was added alone (HYP) or with each of the Bacillus spp. (HYP + BLI or HYP + BSU). In Exp. 2, cells were assigned to the same treatments as in Exp. 1 (CON, BLI, and BSU), or mycotoxin deoxynivalenol (DON), which was added alone or in combination with BLI or BSU, resulting in another two treatments (DON + BLI and DON + BSU). Transepithelial electrical resistance was measured for 14 h postchallenge. In Exp. 1, a treatment × hour interaction was observed for TEER (P < 0.0001). Adding BLI and BSU resulted in greater TEER values vs. CON for most of the experimental period (P < 0.02), whereas HYP reduced mean TEER and area under the curve (AUC), while increasing the amount of sugar that translocated through the monolayer cells (P < 0.001). A treatment × hour interaction was also observed in Exp. 2 (P < 0.0001), as DON led to an immediate and acute drop in TEER that lasted until the end of the experimental period (P < 0.0001). Both BLI and BSU alleviated the DON-induced damaging effects on the integrity of intestinal epithelial cells, whereas both Bacillus spp. alleviated the damage caused by DON alone and the proportion of sugar that translocated through the monolayer cells was not different between CON and DON + BLI (P = 0.14) and DON + BLI and DON + BSU (P = 0.62). In summary, both Bacillus spp. strains (B. paralicheniformis 809 and B. subtilis 810) were able to counteract the damaging effects of the challenge agents, hydrogen peroxide and deoxynivalenol, on gut barrier integrity.
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Shu Y, Wang H, Jiang H, Zhou S, Zhang L, Ding Z, Hong P, He J, Wu H. Pleurotus ostreatus polysaccharide-mediated modulation of skin damage caused by microcystin-LR in tadpoles. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 345:123440. [PMID: 38290654 DOI: 10.1016/j.envpol.2024.123440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/01/2024]
Abstract
In this study, we aimed to evaluate the effect of dietary supplementation with edible mushroom (Pleurotus ostreatus)-derived polysaccharides on microcystin leucine-arginine (MC-LR)-induced skin damage in Pelophylax nigromaculatus tadpoles. Tadpoles were exposed to 1 μg/L daily MC-LR, with or without 5.0 g/kg of dietary P. ostreatus polysaccharides, for 30 days. P. ostreatus polysaccharide supplementation significantly increased the dermal collagen fibrils, increased tight junction protein gene expression, decreased the amount of MC-LR accumulation in skin tissues, attenuated oxidative stress, downregulated apoptosis-associated gene transcription, decreased eosinophil numbers, and downregulated transcription of inflammation-related genes (e.g. TLR4, NF-κB, and TNF-α). The composition of the skin commensal microbiota of MC-LR-exposed tadpoles supplemented with P. ostreatus polysaccharides was similar to that of the no-treatment control group. Lipopolysaccharide (LPS) content was positively correlated with the abundance of Gram-negative bacteria, including Chryseobacterium and Thauera. Therefore, P. ostreatus polysaccharides may alleviate MC-LR-induced skin barrier damage in tadpoles in two ways: 1) attenuation of oxidative stress-mediated apoptosis mediated by increased glutathione (GSH) content and total superoxide dismutase activity; and 2) alteration of the skin commensal microbiota composition to attenuate the LPS/Toll-like receptor 4 inflammatory pathway response. Furthermore, P. ostreatus polysaccharides may increase skin GSH synthesis by promoting glycine production via the gut microbiota and may restore the MC-LR-damaged skin resistance to pathogenic bacteria by increasing antimicrobial peptide transcripts and lysozyme activity. This study highlights for the first time the potential application of P. ostreatus polysaccharides, an ecologically active substance, in mitigating the skin damage induced by MC-LR exposure, and may provide new insights for its further development in aquaculture.
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Affiliation(s)
- Yilin Shu
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China; State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Hui Wang
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China
| | - Huiling Jiang
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China
| | - Shiwen Zhou
- Department of Biomedical Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China
| | - Liyuan Zhang
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China
| | - Zifang Ding
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China
| | - Pei Hong
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China
| | - Jun He
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China; Department of Pathology, Wannan Medical College, Wuhu, Anhui, 241002, China
| | - Hailong Wu
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, 241002, China.
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Dong JN, Zhao ZK, Wang ZQ, Li SZ, Zhang YP, Sun Z, Qin GX, Zhang XF, Zhao W, Aschalew ND, Wang T, Zhen YG. Impact of deoxynivalenol on rumen function, production, and health of dairy cows: Insights from metabolomics and microbiota analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133376. [PMID: 38159518 DOI: 10.1016/j.jhazmat.2023.133376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/17/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
Deoxynivalenol contamination in feed and food, pervasive from growth, storage, and processing, poses a significant risk to dairy cows, particularly when exposed to a high-starch diet; however, whether a high-starch diet exacerbates these negative effects remains unclear. Therefore, we investigated the combined impact of deoxynivalenol and dietary starch on the production performance, rumen function, and health of dairy cows using metabolomics and 16 S rRNA sequencing. Our findings suggested that both high- and low-starch diets contaminated with deoxynivalenol significantly reduced the concentration of propionate, isobutyrate, valerate, total volatile fatty acids (TVFA), and microbial crude protein (MCP) concentrations, accompanied by a noteworthy increase in NH3-N concentration in vitro and in vivo (P < 0.05). Deoxynivalenol altered the abundance of microbial communities in vivo, notably affecting Oscillospiraceae, Lachnospiraceae, Desulfovibrionaceae, and Selenomonadaceae. Additionally, it significantly downregulated lecithin, arachidonic acid, valine, leucine, isoleucine, arginine, and proline metabolism (P < 0.05). Furthermore, deoxynivalenol triggered oxidative stress, inflammation, and dysregulation in immune system linkage, ultimately compromising the overall health of dairy cows. Collectively, both high- and low-starch diets contaminated with deoxynivalenol could have detrimental effects on rumen function, posing a potential threat to production performance and the overall health of cows. Notably, the negative effects of deoxynivalenol are more pronounced with a high-starch diet than a low-starch diet.
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Affiliation(s)
- Jia-Nan Dong
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Zhi-Kun Zhao
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Zhan-Qing Wang
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Song-Ze Li
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Yong-Peng Zhang
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China; Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China
| | - Zhe Sun
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China; Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China; College of Life Science, Jilin Agricultural University, Changchun 130118, PR China
| | - Gui-Xin Qin
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Xue-Feng Zhang
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China; Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China
| | - Wei Zhao
- Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China
| | - Natnael Demelash Aschalew
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China
| | - Tao Wang
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China; Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China.
| | - Yu-Guo Zhen
- College of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China; Postdoctoral Scientific Research Workstation, Feed Engineering Technology Research Center of Jilin Province, Changchun Borui Science & Technology Co., Ltd, Changchun 130118, PR China.
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20
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Zhang H, Zha X, Zhang B, Zheng Y, Elsabagh M, Wang H, Wang M. Gut microbiota contributes to bisphenol A-induced maternal intestinal and placental apoptosis, oxidative stress, and fetal growth restriction in pregnant ewe model by regulating gut-placental axis. MICROBIOME 2024; 12:28. [PMID: 38365714 PMCID: PMC10874076 DOI: 10.1186/s40168-024-01749-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/02/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Bisphenol A (BPA) is an environmental contaminant with endocrine-disrupting properties that induce fetal growth restriction (FGR). Previous studies on pregnant ewes revealed that BPA exposure causes placental apoptosis and oxidative stress (OS) and decreases placental efficiency, consequently leading to FGR. Nonetheless, the response of gut microbiota to BPA exposure and its role in aggravating BPA-mediated apoptosis, autophagy, mitochondrial dysfunction, endoplasmic reticulum stress (ERS), and OS of the maternal placenta and intestine are unclear in an ovine model of gestation. RESULTS Two pregnant ewe groups (n = 8/group) were given either a subcutaneous (sc) injection of corn oil (CON group) or BPA (5 mg/kg/day) dissolved in corn oil (BPA group) once daily, from day 40 to day 110 of gestation. The maternal colonic digesta and the ileum and placental tissue samples were collected to measure the biomarkers of autophagy, apoptosis, mitochondrial dysfunction, ERS, and OS. To investigate the link between gut microbiota and the BPA-induced FGR in pregnant ewes, gut microbiota transplantation (GMT) was conducted in two pregnant mice groups (n = 10/group) from day 0 to day 18 of gestation after removing their intestinal microbiota by antibiotics. The results indicated that BPA aggravates apoptosis, ERS and autophagy, mitochondrial function injury of the placenta and ileum, and gut microbiota dysbiosis in pregnant ewes. GMT indicated that BPA-induced ERS, autophagy, and apoptosis in the ileum and placenta are attributed to gut microbiota dysbiosis resulting from BPA exposure. CONCLUSIONS Our findings indicate the underlying role of gut microbiota dysbiosis and gut-placental axis behind the BPA-mediated maternal intestinal and placental apoptosis, OS, and FGR. The findings further provide novel insights into modulating the balance of gut microbiota through medication or probiotics, functioning via the gut-placental axis, to alleviate gut-derived placental impairment or FGR. Video Abstract.
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Affiliation(s)
- Hao Zhang
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China.
| | - Xia Zha
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Bei Zhang
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yi Zheng
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Mabrouk Elsabagh
- Department of Animal Production and Technology, Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, Nigde, 51240, Turkey
- Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, Kafrelsheikh University, KafrelSheikh, Egypt
| | - Hongrong Wang
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Mengzhi Wang
- Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, 225009, P. R. China.
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Science, Shihezi, 832000, P. R. China.
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Gresse R, Cappellozza BI, Capern LC, Knudsen TTM, Copani G. A multispecies bacterial-based direct-fed microbial alleviates Salmonella invasion and supports in vitro epithelial integrity. J Anim Sci 2024; 102:skae304. [PMID: 39383437 PMCID: PMC11561584 DOI: 10.1093/jas/skae304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 10/08/2024] [Indexed: 10/11/2024] Open
Abstract
Managing bacterial infections is of great importance in livestock production, particularly those caused by Salmonella enterica serovars Typhimurium or Dublin, which can impact both animal health and performance, as well as human food safety. Direct-fed microbials (DFM) can support gastrointestinal function and alleviate the potential negative effects of bacterial infections. In the present study, the capacity of a multispecies bacterial-based DFM containing Ligilactobacillus (formerly Lactobacillus) animalis 506, Propionibacterium freudenreichii 507, Bacillus licheniformis 809, and B. subtilis 597 to reduce S. Typhimurium ATCC14028 invasion was investigated using a co-incubation model with the HT29-MTX-E12 cell line (experiment 1). Next, a possible antagonistic effect of the DFM against S. Dublin ATCC 41286 was evaluated using an in vitro agar well diffusion method following a co-incubation of 48 h (experiment 2). At last, a series of experiments were performed to evaluate how different doses (6.25 × 106, 2.50 × 107, or 1.00 × 108 CFU/well) of the DFM would support the integrity of intestinal epithelial cells challenged or not with S. Typhimurium ATCC14028 or hydrogen peroxide under a transepithelial electrical resistance (TEER) assay with Caco-2 cells (experiments 3 and 4). In experiment 1, BDP significantly (P < 0.001) reduced by 90.8% the invasion of S. Typhimurium into HT29-MTX-E12 cells, whereas viability of the potentially harmful bacteria was reduced by 21.0% (P < 0.0001). In experiment 2, the antagonistic properties of BDP towards S. Dublin were confirmed by the detection of a clear inhibition zone (size = 8.6 mm). Lastly, without challenge, the lowest dose of the DFM (6.25 × 106 CFU) provided the greatest support to the cells (treatment × hour; P < 0.0001). However, when the cells were challenged with S. Typhimurium, all doses alleviated the loss of integrity caused by the pathogen (treatment × hour; P < 0.0001). In cells challenged with hydrogen peroxide, the greater dose (1.00 × 108 CFU) supported the cells for a longer period of time (treatment × hour; P < 0.0001). These in vitro findings set the stage for exploring the potential benefits of using a novel DFM as a promising tool and strategy to mitigate S. enterica infections in ruminants and improve animal health, food safety, and public health. Further, in vivo confirmation needs to be developed to validate these preliminary in vitro results.
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Affiliation(s)
- Raphaele Gresse
- Novonesis, Planetary Health & Biosolutions, Hørsholm 2970, Denmark
| | | | - Lena C Capern
- Novonesis, Planetary Health & Biosolutions, Hørsholm 2970, Denmark
| | - Tine T M Knudsen
- Novonesis, Planetary Health & Biosolutions, Hørsholm 2970, Denmark
| | - Giuseppe Copani
- Novonesis, Planetary Health & Biosolutions, Hørsholm 2970, Denmark
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22
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Zhu SL, Gu FF, Tang YF, Liu XH, Jia MH, Valencak TG, Liu JX, Sun HZ. Dynamic fecal microenvironment properties enable predictions and understanding of peripartum blood oxidative status and nonesterified fatty acids in dairy cows. J Dairy Sci 2024; 107:573-592. [PMID: 37690725 DOI: 10.3168/jds.2022-23066] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 08/02/2023] [Indexed: 09/12/2023]
Abstract
The transition period in dairy cows is a critical stage and peripartum oxidative status, negative energy balance (NEB), and inflammation are highly prevalent. Fecal microbial metabolism is closely associated with blood oxidative status and nonesterified fatty acids (NEFA) levels. Here, we investigated dynamic changes in total oxidative status markers and NEFA in blood, fecal microbiome, and metabolome of 30 dairy cows during transition (-21, -7, +7, +21 d relative to calving). Then the Bayesian network and 9 machine-learning algorithms were applied to dismantle their relationship. Our results show that the oxidative status indicator (OSI) of -21, -7, +7 d was higher than +21 d. The plasma concentration of NEFA peaked on +7 d. For fecal microenvironment, a decline in bacterial α diversity was observed at postpartum and in bacterial interactions at +7 d. Conversely, microbial metabolites involved in carbohydrate, lipid, and energy metabolism increased on +7 d. A correlation analysis revealed that 11 and 10 microbial metabolites contributed to OSI and NEFA variations, respectively (arc strength >0.5). The support vector machine (SVM) radial model showed the highest average predictive accuracy (100% and 88.9% in the test and external data sets) for OSI using 1 metabolite and 3 microbiota. The SVM radial model also showed the highest average diagnostic accuracy (100% and 91% in the test and external data sets) for NEFA with 2 metabolites and 3 microbiota. Our results reveal a relationship between variation in the fecal microenvironment and indicators of oxidative status, NEB, and inflammation, which provide a theoretical basis for the prevention and precise regulation of peripartum oxidative status and NEB.
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Affiliation(s)
- Sen-Lin Zhu
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Feng-Fei Gu
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Yi-Fan Tang
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Xiao-Han Liu
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Ming-Hui Jia
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Teresa G Valencak
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China
| | - Jian-Xin Liu
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China; Ministry of Education Innovation Team of Development and Function of Animal Digestive System, Zhejiang University, Hangzhou 310058, China
| | - Hui-Zeng Sun
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key laboratory of Molecular Animal Nutrition, Zhejiang University, Hangzhou 310058, China; Ministry of Education Innovation Team of Development and Function of Animal Digestive System, Zhejiang University, Hangzhou 310058, China.
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23
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Zhao Y, Yu S, Zhao H, Li L, Li Y, Liu M, Jiang L. Integrated multi-omics analysis reveals the positive leverage of citrus flavonoids on hindgut microbiota and host homeostasis by modulating sphingolipid metabolism in mid-lactation dairy cows consuming a high-starch diet. MICROBIOME 2023; 11:236. [PMID: 37880759 PMCID: PMC10598921 DOI: 10.1186/s40168-023-01661-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/03/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Modern dairy diets have shifted from being forage-based to grain and energy dense. However, feeding high-starch diets can lead to a metabolic disturbance that is linked to dysregulation of the gastrointestinal microbiome and systemic inflammatory response. Plant flavonoids have recently attracted extensive interest due to their anti-inflammatory effects in humans and ruminants. Here, multi-omics analysis was conducted to characterize the biological function and mechanisms of citrus flavonoids in modulating the hindgut microbiome of dairy cows fed a high-starch diet. RESULTS Citrus flavonoid extract (CFE) significantly lowered serum concentrations of lipopolysaccharide (LPS) proinflammatory cytokines (TNF-α and IL-6), acute phase proteins (LPS-binding protein and haptoglobin) in dairy cows fed a high-starch diet. Dietary CFE supplementation increased fecal butyrate production and decreased fecal LPS. In addition, dietary CFE influenced the overall hindgut microbiota's structure and composition. Notably, potentially beneficial bacteria, including Bacteroides, Bifidobacterium, Alistipes, and Akkermansia, were enriched in CFE and were found to be positively correlated with fecal metabolites and host metabolites. Fecal and serum untargeted metabolomics indicated that CFE supplementation mainly emphasized the metabolic feature "sphingolipid metabolism." Metabolites associated with the sphingolipid metabolism pathway were positively associated with increased microorganisms in dairy cows fed CFE, particularly Bacteroides. Serum lipidomics analysis showed that the total contents of ceramide and sphingomyelin were decreased by CFE addition. Some differentially abundant sphingolipid species were markedly associated with serum IL-6, TNF-α, LPS, and fecal Bacteroides. Metaproteomics revealed that dietary supplementation with CFE strongly impacted the overall fecal bacterial protein profile and function. In CFE cows, enzymes involved in carbon metabolism, sphingolipid metabolism, and valine, leucine, and isoleucine biosynthesis were upregulated. CONCLUSIONS Our research indicates the importance of bacterial sphingolipids in maintaining hindgut symbiosis and homeostasis. Dietary supplementation with CFE can decrease systemic inflammation by maintaining hindgut microbiota homeostasis and regulating sphingolipid metabolism in dairy cows fed a high-starch diet. Video Abstract.
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Affiliation(s)
- Yuchao Zhao
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Shiqiang Yu
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Huiying Zhao
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Liuxue Li
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Yuqin Li
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Ming Liu
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China
| | - Linshu Jiang
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
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24
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Nohesara S, Abdolmaleky HM, Thiagalingam S. Epigenetic Aberrations in Major Psychiatric Diseases Related to Diet and Gut Microbiome Alterations. Genes (Basel) 2023; 14:1506. [PMID: 37510410 PMCID: PMC10379841 DOI: 10.3390/genes14071506] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Nutrition and metabolism modify epigenetic signatures like histone acetylation and DNA methylation. Histone acetylation and DNA methylation in the central nervous system (CNS) can be altered by bioactive nutrients and gut microbiome via the gut-brain axis, which in turn modulate neuronal activity and behavior. Notably, the gut microbiome, with more than 1000 bacterial species, collectively contains almost three million functional genes whose products interact with millions of human epigenetic marks and 30,000 genes in a dynamic manner. However, genetic makeup shapes gut microbiome composition, food/nutrient metabolism, and epigenetic landscape, as well. Here, we first discuss the effect of changes in the microbial structure and composition in shaping specific epigenetic alterations in the brain and their role in the onset and progression of major mental disorders. Afterward, potential interactions among maternal diet/environmental factors, nutrition, and gastrointestinal microbiome, and their roles in accelerating or delaying the onset of severe mental illnesses via epigenetic changes will be discussed. We also provide an overview of the association between the gut microbiome, oxidative stress, and inflammation through epigenetic mechanisms. Finally, we present some underlying mechanisms involved in mediating the influence of the gut microbiome and probiotics on mental health via epigenetic modifications.
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Affiliation(s)
- Shabnam Nohesara
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02218, USA; (S.N.); (S.T.)
| | - Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02218, USA; (S.N.); (S.T.)
- Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boson, MA 02215, USA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02218, USA; (S.N.); (S.T.)
- Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, MA 02218, USA
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