数字农科院2.0

Analysis of Mineral Elements, Metabolism, and Inflammation Indexes in the Plasma of Dairy Cows Suffering from Different Degrees of Lameness

文献类型： 外文期刊

作者： Sun, Dongbo;Li, Chunqiu;Gu, Cheng;Qu, Yongli;Wang, Xinyu;Gao, Jing;Wei, Shan;Wang, Jianfa;Wu, Rui;Guo, Donghua;Sun, Dongbo;Chen, Jianfei

作者机构：

关键词： Lameness;Mineral elements;Metabolism;Inflammation

期刊名称： BIOLOGICAL TRACE ELEMENT RESEARCH

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： In the plasma of dairy cows with 1-5 points of lameness, the mineral elements [calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), iodine (I), selenium (Se), molybdenum (Mo), and chromium (Cr)], the energy metabolic indicators [triglyceride (TG), glucose (Glu), total cholesterol (CHO), nonesterified fatty acids (NEFA), beta-hydroxybutyrate (BHBA), lactate (LA), and blood urea nitrogen (BUN)], and inflammatory indexes [bovine haptoglobin (BoHp), histamine (HIS), and immunoglobulin G (IgG)] were measured, respectively. Furthermore, the correlations of the measured indicators with the degrees of lameness were analyzed. The results showed that in the plasma of dairy cows with 2/3-5 points of lameness, for the mineral elements' levels, Ca, Cu, I, Se, and Fe significantly decreased, Cr significantly increased, and Mo showed a decreasing trend; for levels of the energy metabolism indicators, NEFA and BHBA significantly decreased, BUN and LA significantly increased, and Glu, CHO, and TG showed an increasing trend; for inflammation indexes, the concentrations of HIS, BoHp, and IgG all significantly increased; and further analysis indicated that the Mo, Fe, NEFA, BUN, BHBA, IgG, Ca, and Se had a significant correlation with the degrees of lameness. Resulting data revealed the changes of mineral elements, metabolism, and inflammation indexes in the plasma of dairy cows suffering from different degrees of lameness, which will provided basic knowledge for in-depth understanding of lameness in dairy cows.

分类号： Q5

  • 相关文献

[1]Sub-chronically exposing zebrafish to environmental levels of methomyl induces dysbiosis and dysfunction of the gut microbiota. Mingxiao Li,Xi Chen,Chao Song,Limin Fan,Liping Qiu,Dandan Li,Huimin Xu,Shunlong Meng,Xiyan Mu,Bin Xia,Jun Ling. 2024

[2]Bioactive sulforaphane from cruciferous vegetables: advances in biosynthesis, metabolism, bioavailability, delivery, health benefits, and applications. Zhang, Yanli,Zhang, Wenyuan,Zhao, Yaqi,Peng, Renjie,Zhang, Zhanquan,Xu, Zhenzhen,Simal-Gandara, Jesus,Yang, Haixia,Deng, Jianjun. 2024

[3]Three-Year Retrospective Study of Clinical Health Conditions in Ruminants and Equines at Outdoor Clinic of Gomal University, Pakistan. Mirwaise Khan,Ghulam Murtaza Awan,Ahmed Raheem Rayshan,Farah Liaqat,Rahat Ullah Khan,Uzma Ashraf,Alam Zeb Khan,Muhammad Adil,Hira Nawaz. 2025

[4]Combining Ability Of Mineral Element C.ontents In Hybrid Rice. Tong, Jianhua,Zhao, Ju,Zhou, Qingming,Zhu, Xudong,Zhu, Xudong,Zhu, Ziliang,Chen, Hao,Zhou, Xixin,Zhang, Yangjun,Liu, Shuangqing,Chen, Hao,Zhu, Dan. 2018

[5]Principal Component Analysis of Mineral Elements and Fatty Acids Composition in Flaxseed from Ten Different Regions. Xing Li,Zhao Feng-min,Cao You-fu,Wang Mei,Mei Shuai,Li Shao-ping,Cai Zhi-yong. 2014

[6]Combined Stable Isotopes and Multi-element Analysis to Research the Difference Between Organic and Conventional Chicken. Lv, Jun,Zhao, Yan,Lv, Jun.

[7]Application of ICP-MS to Detection of Mineral Elements and Heavy Metals in Cassava's Byproducts. Lue Fei-jie,Tai Jian-xiang,Tao Hai-teng,Zhang Chun-jiang,Chen Xiao-ming,Li Kai-mian. 2009

[8]Chemical analysis combined with multivariate statistical methods to determine the geographical origin of milk from four regions in China. Ruting Zhao,Meicheng Su,Yan Zhao,Gang Chen,Ailiang Chen,Shuming Yang. 2021

[9]Nutritional quality and in vitro rumen fermentation characteristics of silage prepared with lucerne, sweet maize stalk, and their mixtures. Musen Wang,Fujin Zhang,Xinxin Zhang,Ying Yun,Lei Wang,Zhu Yu. 2021

[10]Effects of Fertilizer on the Quality and Traceability of Tibet highland Barley (Hordeum vulgare L.): A Diagnosis Using Nutrients and Mineral Elements. Shanshan Zhao,Cheng Qiu,Tangwei Zhang,Xiangyu Hu,Yan Zhao,Xiyu Cheng,Yuxuan Ma,Mengjie Qie,Chang Chen. 2022

[11]Effects of Exogenous Chlorinated Amino Acetic Acid on Cadmium and Mineral Elements in Rice Seedlings. Liu S.,Fu L.,Zhang C.,Deng J.,Xue W.,Deng Y.. 2023

[12]Effect of lactation on the distribution of mineral elements in goat milk. Pan J.,Yu Z.,Jiang H.,Shi C.,Du Q.,Fan R.,Wang J.,Bari L.,Yang Y.,Han R.. 2024

[13]Yield, nutritional and flavor quality of Chinese cabbage under different rates of chicken manure substituted for chemical fertilizer. Zhang Y.,Tang S.,Jin Q.,Gao W.,Li Y.-L.,Huang S.W.,Wang H.. 2024

[14]Study of the Effects of Spraying Non-Bagging Film Agent on the Contents of Mineral Elements and Flavonoid Metabolites in Apples. Fang Wang,Xiaomin Wu,Yuduan Ding,Xuan Liu,Xiaojing Wang,Yingyin Gao,Jianwen Tian,Xiaolong Li. 2024

[15]Differential root nutrient-acquisition strategies underlie biogeochemical niche separation between grasses and forbs across grassland biomes. Zhou, Na,Li, Haigang,Wang, Baolan,Rengel, Zed,Li, Hongbo. 2024

[16]Effects of Geographical Origin and Tree Age on the Stable Isotopes and Multi-Elements of Pu-erh Tea. Ming Ming Chen,Qiu Hong Liao,Li Li Qian,Hai Dan Zou,Yan Long Li,Yan Song,Yu Xia,Yi Liu,Hong Yan Liu,Ze Long Liu. 2024

[17]Nutrient Diagnosis and Precise Fertilization Model Construction of '87-1' Grape (Vitis vinifera L.) Cultivated in a Facility. Wang, Haibo,Wang, Xiaolong,Liu, Chang,Shi, Xiangbin,Ji, Xiaohao,Wang, Shengyuan,Li, Tianzhong. 2025

[18]Genome-wide association analysis reveals the genetic basis of ionomic variation in duck breast muscle. He Zhang,Daxin Yu,Dapeng Liu,Hehe Tang,Tong Liu,Zhanbao Guo,Hongfei Liu,Zhen Wang,Qiming Mu,Sirui Liu,Yongfu Zhang,Shuisheng Hou,Zhengkui Zhou. 2025

[19]The Progress and Challenges in Metabolic Research in China. Xu, Li,Ren, Hao,Gao, Guangang,Zhou, Linkang,Li, Peng,Xu, Li,Ren, Hao,Gao, Guangang,Zhou, Linkang,Li, Peng,Xu, Li,Malik, Muhammad Arshad.

[20]Physiological and metabolic profiles of common reed provide insights into plant adaptation to low nitrogen conditions. Chu, Xiaodan,Yang, Lan,Wang, Shuang,Yang, Haijun,Liu, Jun.

作者其他论文 更多>>