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Featured researches published by Xueyao Han.


Diabetes | 2013

A Genome-Wide Association Study Identifies GRK5 and RASGRP1 as Type 2 Diabetes Loci in Chinese Hans

Huaixing Li; Wei Gan; Ling Lu; Xiao Dong; Xueyao Han; Cheng Hu; Zhen Yang; Liang Sun; Wei Bao; Pengtao Li; Meian He; Liangdan Sun; Yiqin Wang; Jingwen Zhu; Qianqian Ning; Yong Tang; Rong Zhang; Jie Wen; Di Wang; Xilin Zhu; Kunquan Guo; Xianbo Zuo; Xiaohui Guo; Handong Yang; Xianghai Zhou; Xuejun Zhang; Lu Qi; Ruth J. F. Loos; Frank B. Hu; Tangchun Wu

Substantial progress has been made in identification of type 2 diabetes (T2D) risk loci in the past few years, but our understanding of the genetic basis of T2D in ethnically diverse populations remains limited. We performed a genome-wide association study and a replication study in Chinese Hans comprising 8,569 T2D case subjects and 8,923 control subjects in total, from which 10 single nucleotide polymorphisms were selected for further follow-up in a de novo replication sample of 3,410 T2D case and 3,412 control subjects and an in silico replication sample of 6,952 T2D case and 11,865 control subjects. Besides confirming seven established T2D loci (CDKAL1, CDKN2A/B, KCNQ1, CDC123, GLIS3, HNF1B, and DUSP9) at genome-wide significance, we identified two novel T2D loci, including G-protein–coupled receptor kinase 5 (GRK5) (rs10886471: P = 7.1 × 10−9) and RASGRP1 (rs7403531: P = 3.9 × 10−9), of which the association signal at GRK5 seems to be specific to East Asians. In nondiabetic individuals, the T2D risk-increasing allele of RASGRP1-rs7403531 was also associated with higher HbA1c and lower homeostasis model assessment of β-cell function (P = 0.03 and 0.0209, respectively), whereas the T2D risk-increasing allele of GRK5-rs10886471 was also associated with higher fasting insulin (P = 0.0169) but not with fasting glucose. Our findings not only provide new insights into the pathophysiology of T2D, but may also shed light on the ethnic differences in T2D susceptibility.


Journal of Proteome Research | 2009

Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance Statuses

Xiuying Zhang; Yulan Wang; Fuhua Hao; Xianghai Zhou; Xueyao Han; Huiru Tang; Linong Ji

Understanding the metabolic basis of glucose intolerances and insulin resistance is essential to facilitate early diagnosis, satisfactory therapies and personalized treatments of type 2 diabetes (T2DM). Here, we analyzed the serum metabolic variations from 231 human participants with normal glucose tolerance (NGT, n = 80, M/F = 34/46, mean age 53 +/- 10 years), impaired glucose regulation (IGR, n = 77, M/F = 33/44, mean age 51 +/- 10 years) and T2DM (n = 74, M/F = 32/42, mean age 51 +/- 9 years) to establish the relationship between the serum metabolite compositions and the development of diabetes. By using the proton nuclear magnetic resonance spectroscopy in conjunction with the multivariate data analysis, we found that the development of both glucose intolerances and insulin resistances are closely correlated with the progressive changes of human serum metabonome. Compared with NGT subjects, the IGR and T2DM participants showed clear dysfunctions of choline metabolism, glucose metabolism, lipid and amino acid metabolisms, and disruptions of TCA cycle. The insulin resistance statuses were closely associated with the serum metabonomic changes in terms of glucose, fatty acid and protein/amino acid metabolisms. We also found greater metabonomic heterogeneity among the populations with T2DM and high insulin resistance status. These findings provide useful information to bridge the gaps in our understandings to the metabolic alterations associated with the progression of glucose intolerances and insulin resistance status.


BMC Medical Genetics | 2010

Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population.

Xueyao Han; Yingying Luo; Qian Ren; Xiuying Zhang; Fang Wang; Xiuqin Sun; Xianghai Zhou; Linong Ji

BackgroundRecently, several genome-wide and candidate gene association studies have identified many novel genetic loci for type 2 diabetes (T2D); among these genes, CDKAL1, IGF2BP2, SLC30A8, CDKN2A/B, HHEX, FTO, TCF2, KCNQ1, and WFS1 are the most important. We aimed to determine the effects of these genetic loci associated with T2D in the Chinese Han population of China.MethodsSingle-nucleotide polymorphisms (SNPs) in or near CDKAL1, IGF2BP2, SLC30A8, CDKN2A/B, HHEX, FTO, TCF2, KCNQ1, and WFS1 genes were genotyped in a case-control Chinese Han sample living in Beijing, China involving 1024 patients with T2D and 1005 control subjects.ResultsIn Chinese Han, we replicated the associations between 7 genetic loci and T2D, with risk allele-specific odds ratios (ORs) as follows: 1.27 (95% CI, 1.11-1.45; p = 0.0008) for CDKAL1-rs10946398, 1.26 (95% CI, 1.08-1.47; p = 0.003) for IGF2BP2-rs4402960, 1.19 (95% CI, 1.04-1.37; p = 0.009) for SLC30A8-rs13266634, 1.22 (95% CI, 1.06-1.41; p = 0.005) for CDKN2A/B-rs10811661, 1.20 (95% CI, 1.01-1.42; p = 0.03) for HHEX-rs5015480, 1.37 (95% CI, 1.19-1.69; p = 1.0 × 10-4) for KCNQ1-rs2237892, and 1.24 (95% CI, 1.01-1.52; p = 0.046) for FTO-rs8050136 after adjustment for age, gender, and body mass index. Not only did an association between WFS1-rs6446482 and early-onset T2D exist in the subgroup analysis, but TCF2-rs7501939 and WFS1-rs6446482 were also confirmed to confer risk for T2D in this meta-analysis. Moreover, the relationship between FTO-rs8050136 and body mass index, together with the effect of CDKAL1-rs10946398 on beta cell function, was also observed in the control individuals.ConclusionsOur findings support the important contribution of these genetic loci to susceptibility for T2D in the Chinese Han population in Beijing of China.


Diabetologia | 2008

Exon sequencing and association analysis of polymorphisms in TCF7L2 with type 2 diabetes in a Chinese population

Qian Ren; Xueyao Han; Fang Wang; Xiuying Zhang; L. C. Han; Yingying Luo; X. H. Zhou; Linong Ji

AbstractAims/hypothesisRecently, variants in the transcription factor 7-like 2 (TCF7L2) gene have been found to be consistently associated with type 2 diabetes in different populations. In this study, we hypothesized that TCF7L2 also contributed to genetic susceptibility for type 2 diabetes in a Chinese population.MethodsWe looked for new variants by direct sequencing of all exons and intron–exon junctions of TCF7L2 in 100 Chinese type 2 diabetic patients, and then we genotyped five single nucleotide polymorphisms (SNPs) by Snapshot technology in 1,000 Chinese individuals.ResultsBy sequencing, we identified six SNPs (c.1,637C>A; c.1,674C>G; c.1,709G>A; c.1,846C>G; c.1,888C>T; and c.1,876T>G), and three of them led to non-synonymous polymorphisms (c.1,637C>A, His→Gln or Pro→Thr; c.1,674C>G, Pro→Arg; and c.1,709G>A, Ala→Thr). All of them are rare except c.1,637C>A, which had a frequency of 0.23 for the minor A allele in 98 sequenced individuals. In a case–control study, one of the newly discovered SNPs (c.1,637C>A), together with four reported ones (rs7903146, rs12255372, rs290487 and rs3814573) were genotyped. Comparison between allele and genotype frequencies of these SNPs in patients and controls showed marginal association for rs7903146 and rs290487 with type 2 diabetes (p  = 0.063, OR 1.982, 95% CI 1.128–3.485; p  = 0.071, OR 1.237, 95% CI 0.983–1.557, respectively). No association was found for rs12255372, rs3814573, c.1,637C>A and type 2 diabetes (p  = 0.278–1.000).Conclusions/interpretationWith the current sample size, we did not find any mutation in the coding sequence of TCF7L2 that confers a genetic risk for type 2 diabetes in a Chinese population, and did not replicate some of the major positive results obtained in other populations.


Diabetic Medicine | 2009

Performance of HbA1c for detecting newly diagnosed diabetes and pre-diabetes in Chinese communities living in Beijing

Xianghai Zhou; Linong Ji; Yingying Luo; Xiuying Zhang; Xueyao Han; Qing Qiao

Aim  To determine the performance of glycated haemoglobin (HbA1c) as a screening tool for detecting newly diagnosed diabetes (NDM) and pre‐diabetes.


Diabetes Research and Clinical Practice | 2009

Meta-analysis of the association between SNPs in TCF7L2 and type 2 diabetes in East Asian population

Yingying Luo; Hongyuan Wang; Xueyao Han; Qian Ren; Fang Wang; Xiuying Zhang; Xiuqin Sun; Xianghai Zhou; Linong Ji

AIMS To evaluate the effect of TCF7L2 on genetic susceptibility of type 2 diabetes (T2DM) in East Asian population by using the meta-analysis. METHODS Search all the publications about the association between TCF7L2 and T2DM in East Asian population from PubMed, CNKI and abstracts of major diabetes conferences. Perform the meta-analysis of all the validated studies and evaluate the association between rs7903146 T allele, rs12255372 T allele, rs11196205 C allele, rs290487 C allele and rs11196218 G allele of TCF7L2 and the risk of T2DM. RESULTS Eleven studies from nine eligible papers and one unpublished study of ours were included in the meta-analysis. Ten eligible studies were analyzed for rs7903146, five were analyzed for rs12255372 and rs11196205, and three were analyzed for rs290487 and rs11196218. We found that four SNPs (rs7903146, rs12255372, rs11196205, rs290487) in TCF7L2 were significantly associated with T2DM in East Asian populations. The rs11196218 also showed a marginal association. The estimated population-attributable risk (PAR) associated with analyzed SNPs ranged from 2% to 7%. CONCLUSIONS SNPs in TCF7L2 were strongly associated with the risk of T2DM in East Asian population. But the contribution of its genetic variants to the epidemic of type 2 diabetes in East Asian was relatively low.


Molecular Biology Reports | 2012

Association between KCNJ11 gene polymorphisms and risk of type 2 diabetes mellitus in East Asian populations: a meta-analysis in 42,573 individuals

Lijuan Yang; Xianghai Zhou; Yingying Luo; Xiuqin Sun; Yong Tang; Wulan Guo; Xueyao Han; Linong Ji

A number of studies have been performed to identify the association between potassium inwardly-rectifying channel, subfamily J, member 11 (KCNJ11) gene and type 2 diabetes mellitus (T2DM) in East Asian populations, with inconsistent results. The main aim of this work was to evaluate more precisely the genetic influence of KCNJ11 on T2DM in East Asian populations by means of a meta-analysis. We identified 20 articles for qualitative analysis and 16 were eligible for quantitative analysis (meta-analysis) by database searching up to May 2010. The association was assessed under different genetic models, and the pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated. The allelic and genotypic contrast demonstrated that the association between KCNJ11 and T2DM was significant for rs5210. However, not all results for rs5215 and rs5218 showed significant associations. For rs5219, the combined ORs (95% CIs) for allelic contrast, dominant and recessive models contrast (with allelic frequency and genotypic distribution data) were 1.139 (1.093–1.188), 1.177 (1.099–1.259) and 1.207 (1.094–1.332), respectively (random effect model). The analysis on the most completely adjusted ORs (95% CIs) by the covariates of rs5219 all presented significant associations under different genetic models. Population-stratified analysis (Korean, Japanese and Chinese) and sensitivity analysis verified the significant results. Cumulative meta-analysis including publication time and sample size illustrated the exaggerated genetic effect in the earliest studies. Heterogeneity and publication bias were assessed. Our study verified that single nucleotide polymorphisms (SNPs) of KCNJ11 gene were significantly associated with the risk of T2DM in East Asian populations.


Journal of Diabetes | 2015

Efficacy of dipeptidyl-peptidase-4 inhibitors and impact on β-cell function in Asian and Caucasian type 2 diabetes mellitus patients: A meta-analysis.

Xiaoling Cai; Xueyao Han; Yingying Luo; Linong Ji

This work aimed to compare the efficacy of dipeptidyl peptidase‐IV (DPP‐4) inhibitors and their impact on β‐cell function in Asian and Caucasian patients with type 2 diabetes mellitus.


Journal of Diabetes | 2015

Efficacy of dipeptidyl-peptidase-4 inhibitors and impact on β-cell function in Asian and Caucasian type 2 diabetes mellitus patients: A meta-analysis在亚洲人和白种人的2型糖尿病患者中DPP-4抑制剂的疗效及对β细胞功能的影响:一项meta分析

Xiaoling Cai; Xueyao Han; Yingying Luo; Linong Ji

This work aimed to compare the efficacy of dipeptidyl peptidase‐IV (DPP‐4) inhibitors and their impact on β‐cell function in Asian and Caucasian patients with type 2 diabetes mellitus.


Experimental Diabetes Research | 2014

P38 Plays an Important Role in Glucolipotoxicity-Induced Apoptosis in INS-1 Cells

Lingli Zhou; Xiaoling Cai; Xueyao Han; Linong Ji

Objectives. The mechanism underlying the regulation of glucolipotoxicity-induced apoptosis by MAPKs was examined in INS-1 cells. Methods. The rat insulinoma cell line INS-1 was cotreated with glucose (30 mM) and palmitic acid (0.2 mM) (GLU+PA). Apoptosis was assessed by cell morphology and detection of PARP cleavage. The activation of MAPKs was examined by Western blotting using specific antibodies against the phosphorylated forms of JNK, ERK1/2, and P38. Results. (1) Live cell imaging studies showed that treatment with GLU+PA for 72 h induced significant cell death, concomitant with PARP-1 cleavage and caspase-3 activation, which peaked at 96 h of treatment. (2) Western blot analysis of the activation of MAPKs during GLU+PA-induced INS-1 cell apoptosis showed that phosphorylation of P38 increased gradually and reached a peak at 96 h, which coincided with PARP-1 cleavage. A transient increase of ERK activation was followed by a rapid decline at 96 h, whereas JNK phosphorylation status remained unchanged in response to GLU+PA. (3) Phosphorylation of insulin receptor substrate (IRS)-2 at 48 h of treatment triggered its degradation, which coincided with P38 activation. (4) Inhibition of P38, but not JNK or ERK, blocked GLU+PA-induced INS-1 cell apoptosis. Conclusions. P38 may be involved in the regulation of glucolipotoxicity-induced apoptosis through the phosphorylation of IRS-2.

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