Open Access
Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
|
|
---|---|---|
Article Number | 01027 | |
Number of page(s) | 7 | |
Section | Agricultural Innovation Systems | |
DOI | https://doi.org/10.1051/e3sconf/202343101027 | |
Published online | 13 October 2023 |
- A. K. Goyal, B. K. Brahma, Antioxidant and nutraceutical potential of bamboo: an overview Int J Fundamental Appl Sci., 3, 2-10 (2014) doi: 10.59415/ijfas.v3i1.55 [Google Scholar]
- K. Dhama, S. K. Latheef, S. Mani, H. A. Samad, Multiple beneficial applications and modes of action of herbs in poultry health and production - a review Int J Pharmacol, 11, 152-176 (2015) doi: 10.3923/ijp.2015 [CrossRef] [Google Scholar]
- J. X. Kang, J. Bo. Wan, C. He, Concise review: regulation of stem cell proliferation and differentiation by essential fatty acids and their metabolites Stem Cells, 32(5),1092-1098 (2014) doi: 10.1002/stem.1620 [CrossRef] [PubMed] [Google Scholar]
- M. Kim, Assessment of the gastrointestinal microbiota using 16S ribosomal RNA gene amplicon sequencing in ruminant nutrition. Anim Biosci., 36(2), 364-373 (2023) doi: 10.5713/ab.22.0382 [CrossRef] [PubMed] [Google Scholar]
- S. Li, X. Li, Leptin in normal physiology and leptin resistance Sci Bull., 61(19),1480-1488 (2016) doi: 10.1007/s11434-015-0951-4 [CrossRef] [Google Scholar]
- L. Lin, J. Zhang, Role of intestinal microbiota and metabolites on gut homeostasis and human diseases. BMC Immunol., 18, 125-134 (2017) doi: 10.1186/s12865-016-0187-3 [Google Scholar]
- L. Maier, A. Typas, Systematically investigating the impact of medication on the gut microbiome. Curr. Opin. Microbiol, 39, 128-135 (2017) doi: 10.1016/j.mib.2017.11.001 [CrossRef] [Google Scholar]
- M. Nakamura, S. Nomura, T. Yamakawa, Endogenous calcitonin regulates lipid and glucose metabolism in diet-induced obesity mice Scientific Reports., 8, 170-171 (2018) doi: 10.1038/s41598-018-35369-5 [CrossRef] [Google Scholar]
- J. Pang, C. Xi, X. Huang, J. Cui, H. Gong, T. Zhang, Effects of excess energy intake on glucose and lipid metabolism in C57BL/6 Mice PLoS ONE., 11(1), e0146675 (2016) doi: 10.1371/journal.pone.0146675 [CrossRef] [Google Scholar]
- M. Potrykus, Intestinal Microbiota as a Contributor to Chronic Inflammation and Its Potential Modifications, Nutrients, 13(11), 3839 (2021) doi.org/10.3390/nu13113839. [CrossRef] [Google Scholar]
- V. V. Grechkina, S. A. Miroshnikov, S. V. Lebedev, Lipid spectrum of blood when vegetable fats are introduced into the diet of calves IOP: Earth and Environmental Science., 624, 012025 (2021) doi: 10.1088/1755-1315/624/1/012025 [Google Scholar]
- T. Xie, An ErChen and YinChen decoction ameliorates high-fat-induced nonalcoholic steatohepatitis in rats by regulating JNK1 signaling pathway Evidence-Based Complementary and Alternative Medicine, 46, 371-386 (2017) doi: 10.1155/2017/4603701 [Google Scholar]
- B. Yang, C. Ye, B. Yan, X. He, K. Xing, Assessing the Influence of Dietary History on Gut Microbiota. Curr. Microbiol, 76, 237-247 (2019) doi: 10.1007/s00284-018-1616-8. [CrossRef] [PubMed] [Google Scholar]
- M. Y. Zeng, N. Inohara, G. Nuñez, Mechanisms of inflammation‐driven bacterial dysbiosis in the gut. Mucosal Immunol, 10, 18-26 (2016) doi: 10.1038/mi.2016.75 [Google Scholar]
- S. S. Akimov, S. V. Lebedev, V. V. Grechkina, M. S. Miroshnikova, G. M. Topuria, The effectiveness of using mathematical modeling in assessing the quality of food products IOP: Earth and Environmental Science, 624, 012158 (2021) doi: 10.1088/1755-1315/624/1/012158 [Google Scholar]
- S. Zhao, L. Min, N. Zheng, J. Wang, Effect of heat stress on bacterial composition and metabolism in the rumen of lactating dairy cows. Animals (Basel), 9, 925 (2019) doi: 10.3390/ani9110925. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.