Ling Zhou
Nanjing Medical University
11 Papers
121 Citations
Ling Zhou is an academic researcher from Nanjing Medical University. The author has contributed to research in topics: Single-nucleotide polymorphism & Adiponectin. The author has an hindex of 10, co-authored 11 publications.
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Papers
Single-nucleotide polymorphisms inside microRNA target sites influence the susceptibility to type 2 diabetes
TL;DR: The result suggested that INSR rs1366600, ACSL1 rs2292899 and FABP2 rs11724758 could influence the susceptibility to T2DM in Chinese Han population, most likely through their effects on the specific miRNA-binding sites and functional characterizations of three genes are needed.
Polymorphisms in lipid metabolism related miRNA binding sites and risk of metabolic syndrome
TL;DR: Correlations between FABP2 rs11724758 polymorphisms and components of MetS reveal that high-density lipoprotein cholesterol levels are significantly higher in FABPs AA genotypes carrier compared with noncarriers, whereas triglycerides and fasting plasma glucose were to be significantly lower in the AA genotype carrier.
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Association Between PPAR-γ and RXR-α Gene Polymorphism and Metabolic Syndrome Risk: A Case-Control Study of a Chinese Han Population
Hui Shi,Xiaofang Yu,Qian Li,Xinhua Ye,Yanqin Gao,Jianhua Ma,Jinluo Cheng,Ying Lu,Wencong Du,Juan Du,Qing Ye,Xu Zhao,Ling Zhou +12 more
TL;DR: The present study suggested that the variant genotypes in PPAR-γ gene could increase the risk of MetS; however, genotype in RXR-α gene could decrease the riskof MetS in a Chinese Han population.
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Genetic variants in peroxisome proliferator-activated receptor-γ and retinoid X receptor-α gene and type 2 diabetes risk: a case-control study of a Chinese Han population.
Ying Lu,Xinhua Ye,Yuanyuan Cao,Qian Li,Xiaofang Yu,Jinluo Cheng,Yanqin Gao,Jianhua Ma,Wencong Du,Ling Zhou +9 more
TL;DR: The PPAR-γ and RXR-α gene variants associated with the development of T2DM in this study must be investigated in a larger population to reveal any potential effects on metabolism.
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Application of the back-error propagation artificial neural network (BPANN) on genetic variants in the PPAR-γ and RXR-α gene and risk of metabolic syndrome in a Chinese Han population
Xu Zhao,Kang Xu,Hui Shi,Jinluo Cheng,Jianhua Ma,Yanqin Gao,Qian Li,Xinhua Ye,Ying Lu,Xiaofang Yu,Juan Du,Wencong Du,Qing Ye,Ling Zhou +13 more
TL;DR: The interaction of the PPAR-γ and RXR-α gene could play a role in susceptibility to metabolic syndrome by back-error propagation artificial neural network.
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