Mei Zhang

Dr. Mei Zhang


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

View All Publications
31 May 2019 in Diabetes Care
Verified
Journal Article
Closed access
PDF file
MZMeng Zhu
Meng Zhu
KXKuanfeng Xu
Kuanfeng Xu
YCYang Chen
Yang Chen
YGYong Gu
Yong Gu
MZMei Zhang
Mei Zhang
YCYang Chen
Yang Chen
OBJECTIVE Type 1 diabetes (T1D) is a highly heritable disease with much lower incidence but more adult-onset cases in the Chinese population. Although genome-wide association studies (GWAS) have identified >60 T1D loci in Caucasians, less is known in Asians. RESEARCH DESIGN AND METHODS We performed the first two-stage GWAS of T1D using 2,596 autoantibody-positive T1D case subjects and 5,082 control subjects in a Chinese Han population and evaluated the associations between the identified T1D risk loci and age and fasting C-peptide levels at T1D diagnosis. RESULTS We observed a high genetic correlation between children/adolescents and adult T1D case subjects (rg = 0.87), as well as subgroups of autoantibody status (rg ≥ 0.90). We identified four T1D risk loci reaching genome-wide significance in the Chinese Han population, including two novel loci, rs4320356 near BTN3A1 (odds ratio [OR] 1.26, P = 2.70 × 10−8) and rs3802604 in GATA3 (OR 1.24, P = 2.06 × 10−8), and two previously reported loci, rs1770 in MHC (OR 4.28, P = 2.25 × 10−232) and rs705699 in SUOX (OR 1.46, P = 7.48 × 10−20). Further fine mapping in the MHC region revealed five independent variants, including another novel locus, HLA-C position 275 (omnibus P = 9.78 × 10−12), specific to the Chinese population. Based on the identified eight variants, we achieved an area under the curve value of 0.86 (95% CI 0.85–0.88). By building a genetic risk score (GRS) with these variants, we observed that the higher GRS were associated with an earlier age of T1D diagnosis (P = 9.08 × 10−11) and lower fasting C-peptide levels (P = 7.19 × 10−3) in individuals newly diagnosed with T1D. CONCLUSIONS Our results extend current knowledge on genetic contributions to T1D risk. Further investigations in different populations are needed for genetic heterogeneity and subsequent precision medicine.


28 October 2019 in Diabetes
Verified
Journal Article
Open access
PDF file
MLMeihang Li
Meihang Li
SWSihua Wang
Sihua Wang
KXKuanfeng Xu
Kuanfeng Xu
YCYang Chen
Yang Chen
QFQi Fu
Qi Fu
CPConstantin Polychronakos
Constantin Polychronakos
It is estimated that ∼1% of European ancestry patients clinically diagnosed with type 1 diabetes (T1D) actually have monogenic forms of the disease. Because of the much lower incidence of true T1D in East Asians, we hypothesized that the percentage would be much higher. To test this, we sequenced the exome of 82 Chinese Han patients clinically diagnosed with T1D but negative for three autoantibodies. Analysis focused on established or proposed monogenic diabetes genes. We found credible mutations in 18 of the 82 autoantibody-negative patients (22%). All mutations had consensus pathogenicity support by five algorithms. As in Europeans, the most common gene was HNF1A (MODY3), in 6 of 18 cases. Surprisingly, almost as frequent were diallelic mutations in WFS1, known to cause Wolfram syndrome but also described in nonsyndromic cases. Fasting C-peptide varied widely and was not predictive. Given the 27.4% autoantibody negativity in Chinese and 22% mutation rate, we estimate that ∼6% of Chinese with a clinical T1D diagnosis have monogenic diabetes. Our findings support universal sequencing of autoantibody-negative cases as standard of care in East Asian patients with a clinical T1D diagnosis. Nonsyndromic diabetes with WSF1 mutations is not rare in Chinese. Its response to alternative treatments should be investigated.

3 January 2020 in Clinical and Experimental Immunology
Verified
Journal Article
Closed access
PDF file
YWY Wang
Y Wang
YQY Qin
Y Qin
XWX Wang
X Wang
LZL Zhang
L Zhang
JWJ Wang
J Wang
MZMei Zhang
Mei Zhang

1 December 2016 in Cellular Immunology
Verified
Journal Article
Closed access
YQYao Qin
Yao Qin
MZMei Zhang
Mei Zhang
RJRui-Mei Jiang
Rui-Mei Jiang
QWQian Wu
Qian Wu
XXXin-Yu Xu
Xin-Yu Xu
TYTao Yang
Tao Yang

1 February 2016 in Vaccine
Verified
Journal Article
Closed access
XXXinyu Xu
Xinyu Xu
YGYong Gu
Yong Gu
LBLingling Bian
Lingling Bian
YSYun Shi
Yun Shi
YCYun Cai
Yun Cai
YCYang Chen
Yang Chen