Xiaoli Liu

Xiaoli Liu


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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14 July 2015 in Lipids in Health and Disease
Verified
Journal Article
Open access
PDF file
WNWen Qing Ni
Wen Qing Ni
XLXiaoli Liu
Xiaoli Liu
ZZZhi-Peng Zhuo
Zhi-Peng Zhuo
XYXue-Li Yuan
Xue-Li Yuan
JSJin-Ping Song
Jin-Ping Song
JXJian Xu
Jian Xu
Dyslipidemia is one of the most important independent modifiable risk factors for cardiovascular diseases. The objective of this study was to determine the prevalence and risk factors for dyslipidemia in Shenzhen, a special economic zone and large metropolitan area neighboring Hong Kong. A cross-sectional survey of 1,995 adults with a mean age of 46.56 years was conducted between February and July 2011 using a multistage stratified cluster random sampling. All the subjects were administered questionnaires regarding socio-demographic characteristics and other possible factors associated with the prevalence of dyslipidemia. Fasting venous blood samples were collected to assess the lipid profile. Weight, height, waist circumference, and blood pressure were measured. The mean concentrations of total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C) were 5.11 ± 1.15 mmol/L, 1.59 ± 1.47 mmol/L, 1.42 ± 0.33 mmol/L, and 3.22 ± 0.84 mmol/L, respectively. High values of TC, TG, low HDL-C, and high LDL-C were obtained in 14.49 %, 16.14 %, 8.82 %, and 12.13 % of the 1,995 participants, respectively. The prevalence of dyslipidemia was 34.64 %, among which 25.04 % of subjects were aware. Presence of dyslipidemia was significantly associated with increasing age, smoking status, hypertension, diabetes, and body mass index. High prevalence of dyslipidemia with relative low awareness in Shenzhen was found. A comprehensive strategy is required for the prevention, screening, treatment, and control of dyslipidemia in Shenzhen.

14 January 2019 in Nutrition & Metabolism
Verified
Journal Article
Open access
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JZJi-Chang Zhou
Ji-Chang Zhou
YZYumei Zhu
Yumei Zhu
CGChunmei Gong
Chunmei Gong
XLxiongshun liang
xiongshun liang
XZXiaoying Zhou
Xiaoying Zhou
XLXiaoli Liu
Xiaoli Liu
The GC haplotype of the vitamin D binding protein (encoded by the GC gene) might be a risk factor to the vitamin D (VD) nutritional status for many populations, while evidences from the Chinese Han population are sparse. We test the association between vitamin D binding protein genotypes and VD status as well as the metabolic parameters of glucose and lipids in a Han Chinese population. In a cross-sectional study conducted at a health examination centre (registered in ClinicalTrials.gov as QLS2013), 2641 adults were included and grouped according to their plasma 25-hydroxyvitamin D (25OHD) concentrations as VD deficient (VDD), insufficient (VDI), or sufficient (VDS). The rs7041 and rs4588 genotypes were analysed with a molecular beacon-based qPCR method using blood samples. Plasma 25OHD concentrations were lower in the GC2/2, rs7041T/T, and rs4588A/A genotypes than the GC1f/1s, rs7041G/T, and rs4588C/C genotypes (P < 0.05). After adjusting for confounders, the GC2 haplotype increased the risk of low VD status (P < 0.05) in both genders. More genotypic models revealed the negative contributions of rs4588A than rs7041T to low VD status (P < 0.05). The combined rates of VDD and VDI were 80.2% in males and 86.1% in females. Compared with VDI, VDS, or both, VDD showed higher plasma concentrations of fasting blood glucose, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides in males (P < 0.05); however, no significant differences were found with regard to these parameters between the subgroups defined by the GC genotypes (P > 0.05). In a Han Chinese population, the GC2 haplotype or more exactly rs4588A is a risk factor for low VD status but is not associated with glucose and lipid metabolic disorders, which are inversely correlated with the circulating 25OHD concentration in males. The study was retrospectively registered in January 2018 as NCT03406234 in the ClinicalTrials.gov online system.

14 May 2015 in Chinese Journal of Cancer
Verified
Journal Article
Open access
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HZHai-Bin Zhou
Hai-Bin Zhou
SLShengyuan Liu
Shengyuan Liu
LLLin Lei
Lin Lei
ZCZhong-Wei Chen
Zhong-Wei Chen
JPJi Peng
Ji Peng
XLXiaoli Liu
Xiaoli Liu
Breast cancer is a leading tumor with a high mortality in women. This study examined the spatio-temporal distribution of the incidence of female breast cancer in Shenzhen between 2007 and 2012. The data on breast cancer incidence were obtained from the Shenzhen Cancer Registry System. To describe the temporal trend, the average annual percentage change (AAPC) was analyzed using a joinpoint regression model. Spatial autocorrelation and a retrospective spatio-temporal scan approach were used to detect the spatio-temporal cluster distribution of breast cancer cases. Breast cancer ranked first among different types of cancer in women in Shenzhen between 2007 and 2012 with a crude incidence of 20.0/100,000 population. The age-standardized rate according to the world standard population was 21.1/100,000 in 2012, with an AAPC of 11.3%. The spatial autocorrelation analysis showed a spatial correlation characterized by the presence of a hotspot in south-central Shenzhen, which included the eastern part of Luohu District (Donghu and Liantang Streets) and Yantian District (Shatoujiao, Haishan, and Yantian Streets). Five spatio-temporal cluster areas were detected between 2010 and 2012, one of which was a Class 1 cluster located in southwestern Shenzhen in 2010, which included Yuehai, Nantou, Shahe, Shekou, and Nanshan Streets in Nanshan District with an incidence of 54.1/100,000 and a relative risk of 2.41; the other four were Class 2 clusters located in Yantian, Luohu, Futian, and Longhua Districts with a relative risk ranging from 1.70 to 3.25. This study revealed the spatio-temporal cluster pattern for the incidence of female breast cancer in Shenzhen, which will be useful for a better allocation of health resources in Shenzhen.

22 June 2020 in British Journal of Nutrition
Verified
Journal Article
Closed access
PDF file
LYLichen Yang
Lichen Yang
JWJun Wang
Jun Wang
JYJianjun Yang
Jianjun Yang
HZHuidi Zhang
Huidi Zhang
XLXiaobing Liu
Xiaobing Liu
XYXiaoguang Yang
Xiaoguang Yang
Data on average iodine requirements for the Chinese population are limited following implementation of long-term universal salt iodisation. We explored the minimum iodine requirements of young adults in China using a balance experiment and the ‘iodine overflow’ hypothesis proposed by our team. Sixty healthy young adults were enrolled to consume a sequential experimental diet containing low, medium and high levels of iodine (about 20, 40 and 60 μg/d, respectively). Each dose was consumed for 4 d, and daily iodine intake, excretion and retention were assessed. All participants were in negative iodine balance throughout the study. Iodine intake, excretion and retention differed among the three iodine levels (P < 0·01 for all groups). The zero-iodine balance derived from a random effect model indicated a mean iodine intake of 102 μg/d, but poor correlation coefficients between observed and predicted iodine excretion (r 0·538 for μg/d data) and retention (r 0·304 for μg/d data). As iodine intake increased from medium to high, all of the increased iodine was excreted (‘overflow’) through urine and faeces by males, and 89·5 % was excreted by females. Although the high iodine level (63·4 μg/d) might be adequate in males, the corresponding level of 61·6 μg/d in females did not meet optimal requirements. Our findings indicate that a daily iodine intake of approximately half the current recommended nutrient intake (120 μg/d) may satisfy the minimum iodine requirements of young male adults in China, while a similar level is insufficient for females based on the ‘iodine overflow’ hypothesis.

1 May 2006 in Acta Pharmacologica Sinica
Verified
Journal Article
Closed access
PDF file
YZYu-Gang Zhao
Yu-Gang Zhao
XZXin-Min Zheng
Xin-Min Zheng
JZJi Zhou
Ji Zhou
XLXiaoli Liu
Xiaoli Liu
XHXue-Min Hu
Xue-Min Hu
ZYZhi-Yun Yu
Zhi-Yun Yu

1 October 2013
Verified
Journal Article
Closed access
ZCZhou Ji Chang
Zhou Ji Chang
ZMZhu Yu Mei
Zhu Yu Mei
GPGuo Ping
Guo Ping
CZChen Zheng
Chen Zheng
XZXie Feng Zhu
Xie Feng Zhu
HSHe Shan
He Shan