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22 results on '"Zhao, Xiuxin"'

6. Integration of Gut Microbiota with Transcriptomic and Metabolomic Profiling Reveals Growth Differences in Male Giant River Prawns (Macrobrachium Rosenbergii)

Author

Gao, Quanxin, primary, Liu, Peimin, additional, Zhao, Xiuxin, additional, Tang, Qiongying, additional, Xia, Zhenglong, additional, Cai, Miuying, additional, Yang, Guoliang, additional, Wang, Rui, additional, Lu, Xiaohua, additional, Yang, Yan, additional, Gan, Hui, additional, Huang, Guanghua, additional, and Yi, Shaokui, additional

Published
2024
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7. Genetic Parameters of Semen Traits and Their Correlations with Conformation Traits in Chinese Holstein Bulls.

Author

Wang, Xiao, Yang, Jian, Xue, Jie, Zhang, Miao, Zhang, Fan, Wang, Kun, Li, Yanqin, Zhang, Yuanpei, Wu, Xiaoping, Wang, Feng, Zhao, Xiuxin, Ni, Junqing, Ma, Yabin, Li, Rongling, Wang, Lingling, Su, Guosheng, Gao, Yundong, and Li, Jianbin

Subjects
GENETIC correlations, SEMEN, SEMEN analysis, BULLS, PRODUCTION quantity, DAIRY cattle
Abstract

The elite bull plays an extremely important role in the genetic progression of the dairy cow population. The previous results indicated the potential positive relationship of large scrotal circumference (SC) with improved semen volume, concentration, and motility. In order to improve bull's semen quantity and quality by selection, it is necessary to estimate the genetic parameters of semen traits and their correlations with other conformation traits such as SC that could be used for an indirect selection. In this study, the genetic parameters of seven semen traits (n = 66,260) and nine conformation traits (n = 3,642) of Holstein bulls (n = 453) were estimated by using the bivariate repeatability animal model with the average information-restricted maximum likelihood (AI-REML) approach. The results showed that the estimated heritabilities of semen traits ranged from 0.06 (total number of motile sperm, TNMS) to 0.37 (percentage of abnormal sperm, PAS) and conformation traits ranged from 0.23 (pin width, PW) to 0.69 (hip height, HH). The highest genetic correlations were found between semen volume per ejaculation (SVPE), semen concentration per ejaculation (SCPE), total number of sperm (TNS), and TNMS traits that were 0.97, 0.98, 1.00, and 0.99, respectively. Phenotypic correlations between SC and SVPE, SCPE, TNS, and TNMS were 0.35, 0.35, 0.48, and 0.42, respectively. In summary, the moderate or high heritability of semen traits indicates that genetic improvement of semen quality by selection is feasible, where SC could be a useful trait for indirect selection or as correlated information to improve semen quantity and production in the practical bull breeding programs. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Predictions of Milk Fatty Acid Contents by Mid-Infrared Spectroscopy in Chinese Holstein Cows

Author

Zhao, Xiuxin, primary, Song, Yuetong, additional, Zhang, Yuanpei, additional, Cai, Gaozhan, additional, Xue, Guanghui, additional, Liu, Yan, additional, Chen, Kewei, additional, Zhang, Fan, additional, Wang, Kun, additional, Zhang, Miao, additional, Gao, Yundong, additional, Sun, Dongxiao, additional, Wang, Xiao, additional, and Li, Jianbin, additional

Published
2023
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14. Additional file 1 of Single-cell transcriptomic and chromatin accessibility analyses of dairy cattle peripheral blood mononuclear cells and their responses to lipopolysaccharide

Author

Gao, Yahui, Li, Jianbin, Cai, Gaozhan, Wang, Yujiao, Yang, Wenjing, Li, Yanqin, Zhao, Xiuxin, Li, Rongling, Gao, Yundong, Tuo, Wenbin, Baldwin, Ransom L., Li, Cong-jun, Fang, Lingzhao, and Liu, George E.

Abstract

Additional file 1: Figure S1. Cell clustering. Figure S2. Cell marker gene expression. Figure S3. Cell type annotation using Azimuth and SingleR (based on the human Blueprint and Encode cell atlas references). Figure S4. Comparative analyses between cattle and human PBMC. Figure S5. Comparative analyses between cattle and human PBMC under two resolutions using Azimuth. Figure S6. Cell cycle analysis for cattle PBMC. Figure S7. Gene expression of innate immunity genes and transcription factors during lipopolysaccharide treatments in cattle PBMC. Figure S8. Heatmap showing scaled expression levels of three gene modules (core antiviral, peaked inflammatory, and sustained inflammatory) in CD4 cells, CD8 cells, B cells, separately and jointly with monocytes.

Published
2022
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17. Estimation of 305-day milk yield from test-day records of Chinese Holstein cattle

Author

Minghai Hou, Zhao Xiuxin, Ya-bin Ma, Jin-ming Huang, Jianbin Li, Rongling Li, Shao-hua Sun, Zhong Jifeng, Zhihua Ju, and Ling-na Kong

Subjects
Estimation, model, lcsh:Veterinary medicine, Holstein Cattle, General Veterinary, 040301 veterinary sciences, 0402 animal and dairy science, prediction, 04 agricultural and veterinary sciences, Biology, 040201 dairy & animal science, 0403 veterinary science, Daily milk yield, Milk yield, Animal science, Test day, lcsh:SF600-1100, Animal Science and Zoology, lactation curve
Abstract

This study compared six models, namely the Gaines, Sikka, Nelder, Wood, Dhanoa and Hayashi models, for the estimation of 305 days milk yield in Chinese Holstein cattle. We compared their ability to reliably predict 305-day lactation yield from incomplete (3 or 6 test-day (TD)) records. Our findings revealed that the accuracies (ACC) were 0.6655–0.9948, 0.8652–0.9977 and 0.9169–0.9968, whereas the mean square errors (MSE) were 0.0121–2.4807, 0.0139–1.0716 and 0.0170–0.5528 when 3 TD records were used in the first, second and higher lactations, respectively; when 6 TD records were used, the ACC were 0.8800–0.9992, 0.8742–0.9998 and 0.7950–0.9996, whereas the MSE values were 0.0017–0.3348, 0.0011– 0.8605 and 0.0021–1.4869 in the first, second and higher lactations, respectively. All the models were fitted more accurately with 6 TD than 3 TD records. Further analysis revealed that the curves made by the Nelder, Wood and Dhanoa models were close to the actual curves. These three models can be used to predict the 305-day yield for management decisions in farms and for the genetic evaluation of Chinese Holstein cattle.

Published
2017

18. Gender differences in lipid goal attainment among Chinese patients with coronary heart disease: insights from the DYSlipidemia International Study of China

Author

Wang Jianjun, Si Liangyi, Dong Birong, Tan Chunyan, Zhang Liyang, Hu Lingzhi, Zhang Rufu, Xu Anding, Tian Wenhua, Dai Henghua, Wang Yongjun, Huang Taifu, Zhou Yu-Jie, Zhang Bei, Cui Yong, LvYun, Zhou Yali, Se Qiang, Ma Yan, Yang Jian, Zhang Baorong, TuQiuyun, Zheng Yang, Chen Xiaohong, Li Yanping, Jiao Kai, He Fengchang, Shen Xiuyun, Zhang Huifang, Feng Lie, Lu Xinjian, Ge Jun, Wang Yangwei, Xing Yulong, Liang Li, Wang Chunning, Hua Qi, Li Bao, Zou Xiangping, Ma Jianhua, Xiao Qian, Zhang Dadong, Liu Hong, Liu Hui, Cheng Mei, Dayi Hu, Chen Tielong, Zhang Liping, Zhou Xiaohui, Chen Jin, Yan Chuanzhu, Dong Yugang, XiGuangxia, Zhang Weijuan, Yang Wangpingm, Zhao Shuiping, Ye Ping, Li Hongjuan, Wang Aihong, Wu Zonggui, Bilian Yu, Liu Minling, Wu Hongyun, Jin Hui, Hu Zhiping, Li Qiang, Ma Changsheng, Huang Qiong, Song Zhi, Wang Dezhao, Huang Hongman, Miao Yide, Ma Aiqun, Ye Min, Yang Yifang, Zhang Hong, Chen You, GeWeihong, Xiang Yi, Luo Suxin, Baishaili M. Ambegaonakr, Yan Tao, Chen Jing, Pan Hongtao, Ren Liqun, Yu Jinming, Li Yong, Yu Bo, Yao Mingyu, Zeng Longyi, Bu Ai Jia Er, Pan Mingkang, Li Chengjiang, Huang Dejia, Di Yirong, Li Zhanquan, Jin Huigen, Wang Hanqiao, Yu Jiangyi, Shao Jingshan, Wang Chaohui, Qu Lijie, Li Xueyou, Chen Buxing, Hu Da-Yi, Shuiping Zhao, Chen Qiong, Li Zhengfang, Zhao Dong, Han Qinghua, Fei Lixia, Xing Xiaoping, Huang Jing, Yang Yu, Zhu Yulan, Dong Yumei, Liao Yuhua, Wang Lan, Yan Xiaowei, Cui Qin, Yang Gangyi, Liu Fan, Zhu Yi, Shi Yongquan, Fang Ningyuan, Wang Keying, Du Ping, Wu Jiang, Mu Yiming, Cheng Guoli, Zeng Ling, Wang Guixia, Zhang Saidan, Fan Limei, Yu Yan, Zhao Gang, Dai Shudong, NiuXiaoyuan, Wei Meifang, Sun Yufeng, Qian Huifen, Li Yuling, Li Nanfang, Li Qifu, Cao Guiwen, Liu Shaokui, Zhang Xuelian, Zeng Xiaoyun, Wu Jun, Liu Weidong, Guo Minxia, Zheng Qiangsun, Wu Xiaolin, Wu Dongmei, Yang Xinchun, Duan Lei, Wei Yidong, Liu Qiang, Liu Qingsong, Lv Hong, TengXiaochun, Chen Shao-Liang, Zhang Dongping, Wu Chun, Li Yansheng, Huang Ruowen, Zhao Xiuxin, Liu Xueping, Chen Hong, NieXiaoli, Deng Xiaomei, Liang Zerong, Hu Yiming, Wang Jian-An, Li Yanbing, Hu Yaojun, Qu Qiumin, Chen Liefeng, Liang Yongxue, Yang Xiaosu, Song Zhiyuan, Ding Xiaoyan, Zhang Fuchun, Hu Xueqiang, Luo Shaonian, Ma Qiang, Tian Haoming, Tong Qinwei, Chen Xiaofei, Cong Hong-Liang, Huang Gewen, Li Xin, Jiang Bin, Chen Min, Kuang Jinsong, Li Jun(Xinjiang), Wang Yaping, XueYuanming, Peng Qiaoqing, Huang Liming, Wang Xiaoming, Luo Benyan, Cui Shiwei, Zhang Chaoxin, Guo Hongmin, and Hua Fei

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, Physical examination, Statin treatment, medicine.disease, Logistic regression, Coronary heart disease, Goal attainment, Diabetes mellitus, Internal medicine, Female patient, medicine, Physical therapy, lipids (amino acids, peptides, and proteins), Cardiology and Cardiovascular Medicine, business, Dyslipidemia
Abstract

Despite great advances in lipid-lowering therapy, the gender-based disparities in lipid goal success among Chinese coronary heart disease (CHD) patients receiving lipid-lowering treatment remained uncharacterized. Furthermore, little is known about potential causes for this gender imbalance. This cross-sectional trial included 25 697 patients treated with lipid-lowering agents from 122 centres between April 2012 and October 2012; data for 9420 participants with CHD were analysed in the present study; all underwent clinical examination and had their latest fasting lipid profiles while on lipid-lowering therapy recorded. Logistic regression was used to explore possible factors associated with gender disparity in goal attainment rates, and to what extent each factor contributes. Of 9420 CHD patients (42.5% women) evaluated, women had a significantly lower overall low-density lipoprotein cholesterol (LDL-C) success rate than men (46.2 vs. 62.7%, P < 0.0001). Among CHD patients with diabetes, only 31.5% of women and 46.4% of men ( P < 0.0001) attained the optional LDL-C target of

Published
2015

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