Ling Zhang

Prof. Ling Zhang

Capital Medical University
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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1 March 2021 in Journal of Affective Disorders
Verified
Journal Article
Closed access
XLXiaohui Liu
Xiaohui Liu
HCHan Cao
Han Cao
HZHuiping Zhu
Huiping Zhu
HZHan Zhang
Han Zhang
Kaijun NiuKaijun Niu
Kaijun Niu
LZLing Zhang
Ling Zhang

18 October 2011 in Journal of Proteome Research
Verified
Journal Article
Closed access
JLJia-Peng Lu
Jia-Peng Lu
AKAna Knežević
Ana Knežević
YWYouxin Wang
Youxin Wang
IRIgor Rudan
Igor Rudan
HCHarry Campbell
Harry Campbell
Wei WangWei Wang
Wei Wang

5 October 2022 in Environmental Science & Technology
Verified
Journal Article
Closed access
Xu GaoXu Gao
Xu Gao
JHJing Huang
Jing Huang
ACAndres Cardenas
Andres Cardenas
YZYan Zhao
Yan Zhao
YSYanyan Sun
Yanyan Sun
Shaowei WuShaowei Wu
Shaowei Wu

19 August 2023 in Journal of Affective Disorders
Verified
Journal Article
Closed access
HQHan Qi
Han Qi
FWFu-Yuan Wen
Fu-Yuan Wen
YXYun-Yi Xie
Yun-Yi Xie
XLXiao-Hui Liu
Xiao-Hui Liu
BLBing-Xiao Li
Bing-Xiao Li
LZLing Zhang
Ling Zhang

1 September 2019 in Environmental Research
Verified
Journal Article
Closed access
JWJing Wang
Jing Wang
HCHan Cao
Han Cao
DSDianqin Sun
Dianqin Sun
ZQZifan Qi
Zifan Qi
CGChunyue Guo
Chunyue Guo
LZLing Zhang
Ling Zhang

16 April 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
JWJingjing Wu
Jingjing Wu
ZLZheng Liu
Zheng Liu
KMKai Meng
Kai Meng
LZLing Zhang
Ling Zhang
Adiponectin plays an important role in regulating glucose levels and fatty acid oxidation. Multiple studies have assessed the association between rs2241766 polymorphism in the adiponectin (ADIPOQ) gene and obesity susceptibility. However, the results are inconsistent and inconclusive. The aim of this meta-analysis was to investigate this association in adults. Several electronic databases were searched for relevant literature published up to November 2013. Statistical analyses were performed using software Review Manager (Version 5.02) and STATA (Version 10.0). The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with a random-effects model or a fixed-effect model depending on heterogeneity among studies. Q tests and Egger’s tests were performed to assess heterogeneity and publication bias. Sensitivity analysis was conducted to confirm the reliability and stability of the meta-analysis. A total of 2,819 obese and 3,024 controls in 18 case-control studies were included in the meta-analysis. The results indicated that compared with TT genotype, the ADIPOQ-rs2241766 GG genotype was associated with an increased risk for obesity (OR = 1.39, 95% CI: 1.11–1.73, P for heterogeneity = 0.520, I2 = 0%) in overall studies. Whereas, GT genotype was associated with a borderland increased risk for obesity (OR = 1.13, 95% CI: 0.94–1.36, P for heterogeneity = 0.006, I2 = 51%). The susceptibility of obesity was increased based on genotypes of TT<GT<GG (P for trend = 0.011). Subgroup analysis of different regions revealed that the ADIPOQ-rs2241766 GG genotype increased obesity risk in the Chinese studies (OR = 1.54, 95% CI: 1.19–2.00) but not in the non-Chinese studies (OR = 1.02, 95% CI: 0.66–1.58). Similar results were observed in allelic, recessive, and dominant genetic models. There was no significant evidence of publication bias in the overall, Chinese, and non-Chinese studies (P = 0.426, P = 0.935, and P = 0.390, respectively). The results of this meta-analysis suggest that the ADIPOQ-rs2241766 G/T polymorphism might be associated with obesity in Chinese studies but not in non-Chinese studies in adults. Better-designed studies that consider confounding factors and assess larger sample sizes with a focus on ADIPOQ-rs2241766G/T polymorphisms and obesity are required in the future.