Jie Mi

Jie Mi


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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1 August 2017 in JACC
Verified
Journal Article
Closed access
BXBo Xi
Bo Xi
SVSreenivas P. Veeranki
Sreenivas P. Veeranki
MZMin Zhao
Min Zhao
CMChuanwei Ma
Chuanwei Ma
YYYinkun Yan
Yinkun Yan
JMJie Mi
Jie Mi

31 October 2011 in Obesity Reviews
Verified
Journal Article
Closed access
PDF file
BXBo Xi
Bo Xi
YLY. Liang
Y. Liang
THT. He
T. He
KRK. H. Reilly
K. H. Reilly
YHY. Hu
Y. Hu
JMJ. Mi
J. Mi

15 November 2013 in Diabetology & Metabolic Syndrome
Verified
Journal Article
Open access
PDF file
JYJinhua Yin
Jinhua Yin
MLMing Li
Ming Li
LXLu Xu
Lu Xu
YWYing Wang
Ying Wang
HCHong Cheng
Hong Cheng
JMJie Mi
Jie Mi
Objective: The aim of this study is to assess the association between the degree of insulin resistance and the different components of the metabolic syndrome among Chinese children and adolescents. Moreover, to determine the cut-off values for homeostasis model assessment of insulin resistance (HOMA-IR) at MS risk.Methods: 3203 Chinese children aged 6 to 18 years were recruited. Anthropometric and biochemical parameters were measured. Metabolic syndrome (MS) was identified by a modified Adult Treatment Panel III (ATP III) definition. HOMA-IR index was calculated and the normal reference ranges were defined from the healthy participants. Receiver operating characteristic (ROC) analysis was used to find the optimal cutoff of HOMA-IR for diagnosis of MS.Results: With the increase of insulin resistance (quintile of HOMA-IR value), the ORs of suffering MS or its related components were significantly increased. Participants in the highest quintile of HOMA-IR were about 60 times more likely to be classified with metabolic syndrome than those in the lowest quintile group. Similarly, the mean values of insulin and HOMA-IR increased with the number of MS components. The present HOMA-IR cutoff point corresponding to the 95th percentile of our healthy reference children was 3.0 for whole participants, 2.6 for children in prepubertal stage and 3.2 in pubertal period, respectively. The optimal point for diagnosis of MS was 2.3 in total participants, 1.7 in prepubertal children and 2.6 in pubertal adolescents, respectively, by ROC curve, which yielded high sensitivity and moderate specificity for a screening test. According to HOMA-IR > 3.0, the prevalence of insulin resistance in obese or MS children were 44.3% and 61.6% respectively.Conclusions: Our data indicates insulin resistance is common among Chinese obese children and adolescents, and is strongly related to MS risk, therefore requiring consideration early in life. As a reliable measure of insulin resistance and assessment of MS risk, the optimal HOMA-IR cut-off points in this cohort were developed with variation regarding puberty. HOMA-IR may be useful for early evaluating insulin resistance in children and teenagers and could have a long-term benefit of preventive and diagnostic therapeutic intervention.

10 March 2015 in Endocrine
Verified
Journal Article
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YLYajun Liang
Yajun Liang
DHDongqing Hou
Dongqing Hou
XZXiaoyuan Zhao
Xiaoyuan Zhao
Liang WangLiang Wang
Liang Wang
YHYuehua Hu
Yuehua Hu
JMJie Mi
Jie Mi

1 April 2014 in The Lancet
Verified
Journal Article
Closed access
JMJie Mi
Jie Mi
FLFangchao Liu
Fangchao Liu

5 July 2010 in BMC Medical Genetics
Verified
Journal Article
Open access
PDF file
BXBo Xi
Bo Xi
YSYue Shen
Yue Shen
MZMeixian ZHANG
Meixian ZHANG
XLXin Liu
Xin Liu
XZXiaoyuan Zhao
Xiaoyuan Zhao
XWXingyu Wang
Xingyu Wang
Background: Previous genome-wide association studies for type 2 diabetes susceptibility genes have confirmed that a common variant, rs9939609, in the fat mass and obesity associated (FTO) gene region is associated with body mass index (BMI) in European children and adults. A significant association of the same risk allele has been described in Asian adult populations, but the results are conflicting. In addition, no replication studies have been conducted in children and adolescents of Asian ancestry.Methods: A population-based survey was carried out among 3503 children and adolescents (6-18 years of age) in Beijing, China, including 1229 obese and 2274 non-obese subjects. We investigated the association of rs9939609 with BMI and the risk of obesity. In addition, we tested the association of rs9939609 with weight, height, waist circumference, waist-to-height ratio, fat mass percentage, birth weight, blood pressure and related metabolic traits.Results: We found significant associations of rs9939609 variant with weight, BMI, BMI standard deviation score (BMI-SDS), waist circumference, waist-to-height ratio, and fat mass percentage in children and adolescents (pfor trend = 3.29 × 10-5, 1.39 × 10-6, 3.76 × 10-6, 2.26 × 10-5, 1.94 × 10-5, and 9.75 × 10-5, respectively). No significant associations were detected with height, birth weight, systolic and diastolic blood pressure and related metabolic traits such as total cholesterol, triglycerides, HDL-cholesterol, LDL-cholesterol and fasting plasma glucose (allp> 0.05). Each additional copy of the rs9939609 A allele was associated with a BMI increase of 0.79 [95% Confidence interval (CI) 0.47 to 1.10] kg/m2, equivalent to 0.25 (95%CI 0.14 to 0.35) BMI-SDS units. This rs9939609 variant is significantly associated with the risk of obesity under an additive model [Odds ratio (OR) = 1.29, 95% CI 1.11 to 1.50] after adjusting for age and gender. Moreover, an interaction between theFTOrs9939609 genotype and physical activity (p< 0.001) was detected on BMI levels, the effect of rs9939609-A allele on BMI being (0.95 ± 0.10), (0.77 ± 0.08) and (0.67 ± 0.05) kg/m2, for subjects who performed low, moderate and severe intensity physical activity.Conclusion: TheFTOrs9939609 variant is strongly associated with BMI and the risk of obesity in a population of children and adolescents in Beijing, China.