Bin Gao

Prof. Dr. Bin Gao

orcid

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

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3 October 2023 in Postgraduate Medicine
Verified
Journal Article
Closed access
XYXinwen Yu
Xinwen Yu
FSFei Sun
Fei Sun
JMJie Ming
Jie Ming
SLShengru Liang
Shengru Liang
WZWencheng Zhang
Wencheng Zhang
QJQiuhe Ji
Qiuhe Ji
To explore the relationship between serumuric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) and metabolicsyndrome (MetS) in nondiabetic individuals. A total of 15,760 nondiabetic participants were screened fromthe China National Diabetes and Metabolic Disorders Study. Pearson correlation wasused to determine the correlation between the components of MetS and UHR, HDL-C,and UA. Receiver operating characteristic curves were used to evaluate the abilityof UHR, HDL-C, and UA to identify MetS in the nondiabetic population. A total of 6,386 men and 9,374 women wereenrolled in this study. There were 1,480 (23.2%) men and 1,828 (19.5%) women withMetS. UHR significantly correlated with the components ofMetS in men and women, especially with waistcircumference and triglyceride. Inmen, although HDL-C showed a higher specificity index, UHR presented higher sensitivityindex and area under the curve (AUC) than HDL-C (P = 0.0001) and UA (P < 0.0001),with AUC (95% CI) of 0.762 (0.752-0.773). Higher AUCs of UHR relative to HDL-Cand UA were also observed in the age groups < 40 and 40-59 years. There was nosignificant difference in AUC between UHR and HDL-C in the age group ≥60 years (P = 0.370). However, similarresults were not observed in women. UHR could serve as a novel and reliablemarker for identifying the population at a high risk of MetS in nondiabetic men,especially in younger adults.

25 August 2022 in Lipids in Health and Disease
Verified
Journal Article
Open access
PDF file
JLJiahang Li
Jiahang Li
ZNZhenxing Nie
Zhenxing Nie
ZGZhongli Ge
Zhongli Ge
LSLei Shi
Lei Shi
BGBin Gao
Bin Gao
.Y. Yang
. Yang
Background: The prevalence of cardiovascular disease (CVD) is high in China, especially in Northwest China, and dyslipidemia in diabetes is a major factor at risk for CVD. The dyslipidemia prevalence, treatment and control among type 2 diabetes mellitus (T2DM) patients in Northwest China were investigated. Methods: In the cross-sectional retrospective research, 1386 medical records of T2DM patients were collected from the Endocrine Department of Tangdu Hospital. And patients’ age, sex, diabetes duration, glycated hemoglobin (HbA1c), complications, lipid levels, and drug use were recorded. The patient characteristics, lipid level and lipid-lowering therapy were analyzed. Results: In this study, the dyslipidemia prevalence among T2DM patients was 87.7%, the treatment rate was 68.0%. The overall control rate of low-density lipoprotein cholesterol (LDL-C) was 43.1%, and control rates reached 52.7% for high-risk subjects and 36.1% for very high-risk subjects. The overall control rate of non-high-density lipoprotein cholesterol (non-HDL-C) was 19.8%. HbA1c (%) ≥ 7 was indicated as a major factor predicting failure of LDL-C and non-HDL-C control [odds ratio (OR) 1.521; 2.206, 95% confidence interval (CI) 1.154–2.005; 1.583–3.076)]. Conclusion: Among patients with T2DM, it is high prevalence of dyslipidemia and low rate of treatment and control, and higher HbA1c level is the main factor for poor lipid control. It calls for more efforts to promote early screening, prevention and treatment of dyslipidemia for patients, thereby reducing the risk of CVD.

31 July 2023 in Lipids in Health and Disease
Verified
Journal Article
Open access
PDF file
JLJiahang Li
Jiahang Li
LSLei Shi
Lei Shi
GZGuohong Zhao
Guohong Zhao
FSFei Sun
Fei Sun
ZNZhenxing Nie
Zhenxing Nie
.Y. Yang
. Yang
Background: The prevalence of microvascular complications in type 2 diabetes mellitus (T2DM) is increasing. The effect of lipid profiles on diabetic microvascular complications remains debated. This research aimed to study the correlation between lipid profiles and microvascular complications. Methods: This retrospective cross-sectional study included 1096 T2DM patients. The patients were divided into the control, diabetic retinopathy (DR), nephropathy (DKD), and peripheral neuropathy (DPN) groups based on the existence of corresponding complications. The lipid profiles were analyzed, and the effect on complications was assessed by logistic regression. Results: Compared with the control group, the diabetic microvascular complications group had a higher dyslipidemia rate. The rate of high TGs increased significantly with an increasing number of complications. High TG levels contributed to the risk of DKD, DR, and DPN [odds ratios (ORs): 2.447, 2.267, 2.252; 95% confidence interval: 1.648–3.633, 1.406–3.655, 1.472–3.445]. In the age (years) > 55, T2DM duration (years) > 10, and HbA1c (%) ≥ 7 groups, the risk of high TGs was higher for DKD (ORs: 2.193, 2.419, 2.082), DR (ORs: 2.069, 2.317, 1.993), and DPN (ORs: 1.811, 1.405, 1.427). Conclusion: High TG levels increase the risk of diabetic microvascular complications, and patients with older age, longer T2DM duration, and higher HbA1c levels are recommended to keep lipid levels more strictly.

1 February 2014 in BMC Public Health
Verified
Journal Article
Open access
PDF file
SXShaoyong Xu
Shaoyong Xu
JMJie Ming
Jie Ming
CYChao Yang
Chao Yang
BGBin Gao
Bin Gao
YWYi Wan
Yi Wan
QJQiuhe Ji
Qiuhe Ji
The ongoing rapid urbanization in China offers rural population opportunities not only for economic improvement but also for substantial health risks. Albeit some researches related to rural-urban difference of metabolic syndrome (MS), there lacks studies focusing on this point in undeveloped provinces in China.

4 April 2013 in BMC Public Health
Verified
Journal Article
Open access
PDF file
SXShaoyong Xu
Shaoyong Xu
JMJie Ming
Jie Ming
YXYing Xing
Ying Xing
BGBin Gao
Bin Gao
CYChunbao Yang
Chunbao Yang
GCGang Chen
Gang Chen
Background Most studies on diabetes prevalence and awareness in China are regional or about a single province, and differences between coastal and interior provinces have not been discussed even in the nation-based studies. The aim of this study was to determine regional differences in diabetes prevalence and awareness between coastal and interior provinces, and to identify the factors associated with diabetes prevalence and awareness. Methods Provinces Fujian and Shaanxi were chosen to represent the coastal and interior provinces, respectively. The data of two provinces were from the China National Diabetes and Metabolic Disorders Study 2007–08. A total of 5926 people (Fujian 2672 and Shaanxi 3254) aged above 20 years were included as participants in the study. Age-standardized prevalence and awareness were compared between provinces. Logistic regression analysis was performed not only to examine risk factors of diabetes prevalence and awareness, but also to examine the association between regional difference and diabetes prevalence and awareness. Results The age-standardized prevalence of diabetes in Fujian was higher than that in Shaanxi among total (11.5% vs. 8.0%), male (13.6% vs. 8.9%) and female (10.8% vs. 7.4%) populations. Diabetes awareness for total and male population in Fujian was higher than that in Shaanxi (42.3% vs. 34.9% and 46.8% vs. 35.2%, respectively). Age, sex, central obesity, family history of diabetes, and metabolic risk factors were all significantly associated with diabetes prevalence in both provinces. However, cigarette smoking was significantly associated with prevalence in Fujian and physical activity was significantly associated with the prevalence in Shaanxi. Family history of diabetes was the only independent risk factor of diabetes awareness in both provinces. After being adjusted for all listed risk factors, the regional difference of diabetes prevalence was still significant, but that of diabetes awareness lost significance. Conclusions Both diabetes prevalence and awareness were higher in coastal provinces and lower in interior provinces in China. Lifestyle risk factors were found to contribute differently to diabetes prevalence in the two provinces and other unknown risk factors may account for differences of diabetes prevalence between provinces. In addition, family history of diabetes was the only independent risk factor in both provinces.

1 January 2016 in Endocrine Journal
Verified
Journal Article
Open access
PDF file
JCJing Cai
Jing Cai
YFYujie Fang
Yujie Fang
DJDa Jing
Da Jing
SXShaoyong Xu
Shaoyong Xu
JMJIE MING
JIE MING
QJQiuhe Ji
Qiuhe Ji
The aim of our study is to establish the reference intervals (RIs) of thyroid hormones in a previously iodine-deficient area but presently more than iodine-adequate area of Western China, and also to investigate the factors which affect thyroid function. The cross-sectional study conducted in Xi’an, was based on 2007-2008 China National Diabetes and Metabolic Disorders Survey. Among 1286 participating adults, 717 were finally included as reference population. Thyrotropin (TSH), total triiodothyronine (T3), free triiodothyronine (FT3), total thyroxine (T4), free thyroxine (FT4), thyroperoxidase antibody (TPO-Ab) and thyroglobulin antibody (Tg-Ab) were measured. Thyroid ultrasound examination was also performed. The present study established the new RIs of serum TSH (0.43-5.51 mIU/L), FT4 (11.0-20.4 pmol/L), FT3 (3.63-5.73 pmol/L), T4 (67.8-157 mmol/L) and T3 (1.08-2.20 mmol/L), which were different from the data provided by the manufacturers. Significant differences among all the age groups were observed in FT3, but neither in TSH nor in FT4. The TSH levels in adults with pathologic ultrasonography results or positive thyroid autoantibody were significantly higher than those in reference adults. Our present results provide valuable references for the diagnosis of thyroid diseases in population of Western China. Considering that most inland areas of China have faced the challenge of the transition from iodine deficiency to adequacy or more than adequacy, we recommend physicians utilize our RIs to determine thyroid diseases in the similar areas with Xi’an in China.