Yanling Hu

Dr. Yanling Hu


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 November 2013 in American Journal of Reproductive Immunology
Verified
Journal Article
Closed access
PDF file
JLJie Li
Jie Li
YCYang Chen
Yang Chen
CLChengjun Liu
Chengjun Liu
YHYanling Hu
Yanling Hu
LLLiuming Li
Liuming Li

9 January 2013 in European Journal of Human Genetics
Verified
Journal Article
Closed access
PDF file
YCYang Chen
Yang Chen
JLJie Li
Jie Li
XYXiaoxiang Yu
Xiaoxiang Yu
SLShuai Li
Shuai Li
XZXuerong Zhang
Xuerong Zhang
YHYanling Hu
Yanling Hu

3 August 2012 in Immunogenetics
Verified
Journal Article
Closed access
PDF file
CYChen Yang
Chen Yang
WJWang Jie
Wang Jie
YYYang Yanlong
Yang Yanlong
GXGuo Xuefeng
Guo Xuefeng
TATan Aihua
Tan Aihua
ZMZengnan Mo
Zengnan Mo

14 September 2015 in PLOS ONE
Verified
Journal Article
Open access
PDF file
TLTianyu Li
Tianyu Li
YCYang Chen
Yang Chen
JLJie Li
Jie Li
XYXiaobo Yang
Xiaobo Yang
HZHaiying Zhang
Haiying Zhang
ZMZengnan Mo
Zengnan Mo
Recent studies suggest that serum homocysteine (HCY) level is correlated to inflammatory/immune factors that influence the development and progression of many diseases, such as cardiovascular disease. However, the association between serum HCY level and inflammatory/immune factors in healthy populations has not been systematically investigated. This study was conducted based on the Fangchenggang Area Male Health and Examination Survey (FAMHES) project. After comprehensive baseline analysis, we could not find any significant association between HCY level and inflammatory/immune factors. However, in the next linear regression analysis, serum C4 [age-adjusted: Beta = -0.053, 95%CI = (-3.798, -0.050), P = 0.044; multivariate adjusted: Beta = -0.064, 95%CI = (-4.271, -0.378), P = 0.019] and C-reactive protein (CRP) concentration [unadjusted: Beta = 0.056, 95%CI = (0.037, 0.740), P = 0.030] were positively related with HCY. In further binary regression analysis, a significant correlation was confirmed for C4 and HCY [age-adjusted: OR = 0.572, 95%CI = (0.359, 0.911); multivariate adjusted: OR = 0.558, 95%CI = (0.344, 0.905)]. In order to discover more potential associations, multivariate logistic regression analysis was applied and suggested that HCY and C4 were significantly correlated [age-adjusted: OR = 0.703, 95%CI = (0.519, 0.951); multivariate adjusted: OR = 0.696, 95%CI = (0.509, 0.951)]. In addition, immunoglobulin M (IgM) may influence the HCY level to some extent [unadjusted: OR = 1.427, 95%CI = (1.052, 1.936); age-adjusted: OR = 1.446, 95%CI = (1.061, 1.970); multivariate adjusted: OR = 1.447, 95%CI = (1.062, 1.973)]. Combining our results with recent studies, we propose that C4, CRP, and IgM in serum are significantly associated with HCY concentration. Further studies are needed on the mechanism of the interaction, especially among cardiovascular disease subjects.

7 October 2012 in Journal of Assisted Reproduction and Genetics
Verified
Journal Article
Closed access
PDF file
CYChen Yang
Chen Yang
WFWu Fangfang
Wu Fangfang
LJLi Jie
Li Jie
YYYang Yanlong
Yang Yanlong
WJWang Jie
Wang Jie
YHYanling Hu
Yanling Hu

5 January 2024 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
WLWen Li
Wen Li
ZZZhining Zhang
Zhining Zhang
BXBo Xie
Bo Xie
YHYunlin He
Yunlin He
KHKangming He
Kangming He
YHYanling Hu
Yanling Hu
Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.