Q
Qici Wu
Researcher at Zhangzhou Normal University
Publications - 9
Citations - 48
Qici Wu is an academic researcher from Zhangzhou Normal University. The author has contributed to research in topics: Cancer research & Medicine. The author has an hindex of 3, co-authored 6 publications receiving 17 citations.
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Journal ArticleDOI
β-glucan from Lentinus edodes inhibits breast cancer progression via the Nur77/HIF-1α axis.
Xiuru Zhang,Tingting Li,Shu-Wen Liu,Yiming Xu,Minjun Meng,Xiumin Li,Zhichao Lin,Qici Wu,Yu Xue,Yutian Pan,Gulimiran Alitongbieke +10 more
TL;DR: LNT appears to inhibit the progression of breast cancer partly through the Nur77/HIF-1α signaling axis, and the findings of the present study may provide a theoretical basis for targeting HIFs in the treatment of cancer.
Posted ContentDOI
Effect of β-chitosan on the binding interaction between SARS-CoV-2 S-RBD and ACE2
Gulimiran Alitongbieke,Xiumin Li,Qici Wu,Zhichao Lin,Jia-Fu Huang,Yu Xue,Jingna Liu,Jinmei Lin,Tao Pan,Yi-Xuan Chen,Yi Su,Guoguang Zhang,Bo Leng,Shu-Wen Liu,Yutian Pan +14 more
TL;DR: It is demonstrated that β-chitosan displays an antibody-like function capable of neutralizing the SARS-CoV-2 S-RBD and effectively preventing the binding of the Sars- coV- 2 S- RBD to ACE2 and thus diminish inflammation.
Journal ArticleDOI
Therapeutic effects of chitin from Pleurotus eryngii on high-fat diet induced obesity in rats.
TL;DR: It is indicated that administration of chitin from P. eryngii could significantly decrease obese rat food utilization rates and accumulation of adipose tissue in the body, thus preventing development of increased body weight.
Posted ContentDOI
Study on β-Chitosan against the binding of SARS-CoV-2S-RBD/ACE2
Gulimiran Alitongbieke,Xiumin Li,Qici Wu,Zhichao Lin,Jia-Fu Huang,Yu Xue,Jingna Liu,Jinmei Lin,Tao Pan,Yi-Xuan Chen,Yi Su,Guoguang Zhang,Bo Leng,Shu-Wen Liu,Yutian Pan +14 more
TL;DR: In this article, the effect of β-chitosan on the binding of SARS-CoV-2S-RBD and its cell receptor ACE2 was investigated.
Journal ArticleDOI
Plackett-Burman design and response surface optimization of conditions for culturing Saccharomyces cerevisiae in Agaricus bisporus industrial wastewater.
TL;DR: This study analyzed the total number of living S. cerevisiae in the fermentation broth using multispectral imaging flow cytometry to optimize interactions between the three main factors and predict optimal fermentation conditions and indicated that culture temperature, pH, inoculum size, liquid volume, and rotation speed were significant factors affecting thetotal number of viable S. Cerevisiae.