Jie Bai

Mrs. Jie Bai

Central South University of Forestry and Technology
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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16 February 2023 in Nutrients
Verified
Journal Article
Open access
PDF file
JSJunjun Shen
Junjun Shen
YLYejia Liu
Yejia Liu
XWXiaoling Wang
Xiaoling Wang
JBJie Bai
Jie Bai
LLLizhong Lin
Lizhong Lin
HZHaiyan Zhong
Haiyan Zhong
Rapeseed oil is the third most consumed culinary oil in the world. It is well-known for its high content of unsaturated fatty acids, especially polyunsaturated fatty acids, which make it of great nutritional value. There is increasing evidence that a diet rich in unsaturated fatty acids offers health benefits. Although the consumption of rapeseed oil cuts across many areas around the world, the nutritional elements of rapeseed oil and the exact efficacy of the nutrients remain unclear. In this review, we systematically summarized the latest studies on functional rapeseed components to ascertain which component of canola oil contributes to its function. Apart from unsaturated fatty acids, there are nine functional components in rapeseed oil that contribute to its anti-microbial, anti-inflammatory, anti-obesity, anti-diabetic, anti-cancer, neuroprotective, and cardioprotective, among others. These nine functional components are vitamin E, flavonoids, squalene, carotenoids, glucoraphanin, indole-3-Carbinol, sterols, phospholipids, and ferulic acid, which themselves or their derivatives have health-benefiting properties. This review sheds light on the health-benefiting effects of rapeseed oil in the hope of further development of functional foods from rapeseed.

1 July 2017 in Journal of Functional Foods
Verified
Journal Article
Closed access
QLQinlu Lin
Qinlu Lin
Wang LiaoWang Liao
Wang Liao
JBJie Bai
Jie Bai
WWWei Wu
Wei Wu
JWJianping Wu
Jianping Wu

1 December 2017 in Journal of Functional Foods
Verified
Journal Article
Closed access
QLQinlu Lin
Qinlu Lin
Qingbiao XuQingbiao Xu
Qingbiao Xu
JBJie Bai
Jie Bai
WWWei Wu
Wei Wu
HHHui Hong
Hui Hong
JWJianping Wu
Jianping Wu

30 May 2022 in Foods
Verified
Journal Article
Open access
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JBJie Bai
Jie Bai
TYTao Yang
Tao Yang
YZYaping Zhou
Yaping Zhou
WXWei Xu
Wei Xu
SHShuai Han
Shuai Han
QLQinlu Lin
Qinlu Lin
The incidence of obesity has increased significantly on account of the alterations of living habits, especially changes in eating habits. In this study, we investigated the effect of octacosanol on lipid lowering and its molecular mechanism. High-fat diet (HFD)-induced obesity mouse model was used in the study. Thirty C57BL/6J mice were divided into control, HFD, and HFD+Oct groups randomly, and every group included ten mice. The mice of HFD+Oct group were intragastrically administrated 100 mg/kg/day of octacosanol. After 10 weeks for treatment, our results indicated that octacosanol supplementation decreased the body, liver, and adipose tissues weight of HFD mice; levels of TC, TG, and LDL-c were reduced in the plasma of HFD mice; and level of HDL-c were increased. H&E staining indicated that octacosanol supplementation reduces the size of fat droplets of hepatic tissues and adipose cells comparing with the HFD group. Gene chip analysis found that octacosanol regulated 72 genes involved in lipid metabolism in the tissues of liver comparing to the HFD group. IPA pathway network analysis indicated that PPAR and AMPK may play a pivotal role in the lipid-lowering function of octacosanol. Real-time quantitative PCR and Western blot showed that the octacosanol supplementation caused change of expression levels of AMPK, PPARs, FASN, ACC, SREBP-1c, and SIRT1, which were closely related to lipid metabolism. Taken together, our results suggest that octacosanol supplementation exerts a lipid-decreasing effect in the HFD-fed mice through modulating the lipid metabolism-related signal pathway.

23 December 2021 in Cells
Verified
Journal Article
Open access
PDF file
MJMingxi Jia
Mingxi Jia
YSYi Shi
Yi Shi
YXYang Xie
Yang Xie
WLWen LI
Wen LI
JDJing Deng
Jing Deng
ZLZheng Li
Zheng Li
Lung adenocarcinoma (LUAD) is one of the most common malignancies, and there is still a lack of effective biomarkers for early detection and prognostic prediction. Here, we comprehensively analyze the characteristics of. an RNA sequencing data set of LUAD samples. In total, 395 long non-coding RNAs (lncRNAs), 89 microRNAs (miRNAs), and 872 mRNAs associated with c-Myc were identified, which were differentially expressed between tumor and normal tissues. The most relevant pathway was found to be WT1-AS–miR-200a-3p–IGF2BP2 according to the rules of competitive endogenous RNA (ceRNA) regulation. WT1-AS and IGF2BP2 expression were positively correlated and increased in LUAD samples, while miR-200a-3p had relatively low expression. The high expression of WT1-AS and IGF2BP2 was associated with poor prognosis in LUAD patients, while low expression of miR-200a-3p predicted reduced survival (p < 0.05). The analysis of the multi-gene regulation model indicated that the WT1-AS (downregulation)–miR-200a-3p (upregulation)–IGF2BP2 (downregulation) pattern significantly improved the survival of LUAD patients. Finally, reverse transcription-polymerase chain reaction (RT-PCR) and Western blotting were detected in LUAD cells, and the results are consistent with the bioinformatics analysis. In summary, the WT1-AS/IGF2BP2 axis is a potential prognostic biomarker in LUAD and is expected to become an effective target for diagnosis and treatment.

2 February 2021 in Biomolecules
Verified
Journal Article
Open access
PDF file
WLWen Li
Wen Li
YLYu Liu
Yu Liu
ZLZi Jin Li
Zi Jin Li
YSYi Shi
Yi Shi
JDJing Deng
Jing Deng
DFDa Fu
Da Fu
Lung cancer is the world’s highest morbidity and mortality of malignant tumors, with lung adenocarcinoma (LUAD) as a major subtype. The competitive endogenous RNA (ceRNA) regulative network provides opportunities to understand the relationships among different molecules, as well as the regulative mechanisms among them in order to investigate the whole transcriptome landscape in cancer pathology. We designed this work to explore the role of a key oncogene, MYC, in the pathogenesis of LUAD, and this study aims to identify important long noncoding RNA (lncRNA)-microRNA (miRNA)- transcription factor (TF) interactions in non-small cell lung cancer (NSCLC) using a bioinformatics analysis. The Cancer Genome Atlas (TCGA) database, containing mRNA expression data of NSCLC, was used to determine the deferentially expressed genes (DEGs), and the ceRNA network was composed of WT1-AS, miR-206, and nicotinamide phosphoribosyltransferase (NAMPT) bashing on the MYC expression level. The Kaplan–Meier univariate survival analysis showed that these components may be closely related prognostic biomarkers and will become new ideas for NSCLC treatment. Moreover, the high expression of WT1-AS and NAMPT and low expression of miR-206 were associated with a shortened survival in NSCLC patients, which provided a survival advantage. In summary, the current study constructing a ceRNA-based WT1-AS/miR-206/NAMPT axis might be a novel important prognostic factor associated with the diagnosis and prognosis of LUAD.