D
Duo Li
Researcher at Qingdao University
Publications - 359
Citations - 11451
Duo Li is an academic researcher from Qingdao University. The author has contributed to research in topics: Polyunsaturated fatty acid & Docosahexaenoic acid. The author has an hindex of 48, co-authored 329 publications receiving 9060 citations. Previous affiliations of Duo Li include Hangzhou University & Ruhr University Bochum.
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Journal ArticleDOI
Docosahexaenoic acid decreases plasma homocysteine via regulating enzyme activity and mRNA expression involved in methionine metabolism
TL;DR: In this paper, the regulatory effect of fish oil rich in ω-3 polyunsaturated fatty acids (PUFAs) on critical enzyme activity and mRNA expression involved in homocysteine (Hcy) metabolism was investigated.
Journal Article
Marine lipids: overview "news insights and lipid composition of Lyprinol".
TL;DR: In this chapter, a comparison between the composition of the oil derived from the New Zealand Green Lipped Mussel and two other oils rich in omega 3 fatty acids, namely flaxseed oil and tuna oil is reported.
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Omega 6 to omega 3 fatty acid imbalance early in life leads to persistent reductions in DHA levels in glycerophospholipids in rat hypothalamus even after long-term omega 3 fatty acid repletion $
Duo Li,Harrison S. Weisinger,Richard S. Weisinger,Michael L. Mathai,James A. Armitage,Algis J. Vingrys,Andrew J. Sinclair +6 more
TL;DR: The results suggest that omega 6-3 PUFA imbalance early in life leads to irreversible changes in hypothalamic composition, and the increased ALA and reduced DHA proportions in the animals re-fed ALA in later life are consistent with a dysfunction or down-regulation of the conversion of ALA to 18:4n-3 by the delta-6 desaturase.
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Effect of different phosphatidylcholines on high fat diet-induced insulin resistance in mice.
TL;DR: In this paper, the effect of PC derived from Sthenototeuthis oualaniensis on high fat diet (HFD)-induced IR in comparison with terrestrial soybean PC (Soy-PC) and egg yolk PC (Egg-PC).
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Genome-wide contribution of genotype by environment interaction to variation of diabetes-related traits.
Ju-Sheng Zheng,Ju-Sheng Zheng,Donna K. Arnett,Yu-Chi Lee,Jian Shen,Jian Shen,Laurence D. Parnell,Caren E. Smith,Kris Richardson,Duo Li,Ingrid B. Borecki,Jose M. Ordovas,Chao-Qiang Lai +12 more
TL;DR: A novel method was utilized that demonstrates the importance of genome-wide GxE interactions in explaining the variance of diabetes-related traits and yielded more significant SNPs than the control factor.