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Yi Sun  (Sun Y) 2 Articles
Fatty Acid-Binding Protein 4 in Patients with and without Diabetic Retinopathy
Ping Huang, Xiaoqin Zhao, Yi Sun, Xinlei Wang, Rong Ouyang, Yanqiu Jiang, Xiaoquan Zhang, Renyue Hu, Zhuqi Tang, Yunjuan Gu
Diabetes Metab J. 2022;46(4):640-649.   Published online April 28, 2022
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  • 197 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Fatty acid-binding protein 4 (FABP4) has been demonstrated to be a predictor of early diabetic nephropathy. However, little is known about the relationship between FABP4 and diabetic retinopathy (DR). This study explored the value of FABP4 as a biomarker of DR in patients with type 2 diabetes mellitus (T2DM).
A total of 238 subjects were enrolled, including 20 healthy controls and 218 T2DM patients. Serum FABP4 levels were measured using a sandwich enzyme-linked immunosorbent assay. The grade of DR was determined using fundus fluorescence angiography. Based on the international classification of DR, all T2DM patients were classified into the following three subgroups: non-DR group, non-proliferative diabetic retinopathy (NPDR) group, and proliferative diabetic retinopathy (PDR) group. Multivariate logistic regression analyses were employed to assess the correlation between FABP4 levels and DR severity.
FABP4 correlated positively with DR severity (r=0.225, P=0.001). Receiver operating characteristic curve analysis was used to assess the diagnostic potential of FABP4 in identifying DR, with an area under the curve of 0.624 (37% sensitivity, 83.6% specificity) and an optimum cut-off value of 76.4 μg/L. Multivariate logistic regression model including FABP4 as a categorized binary variable using the cut-off value of 76.4 μg/L showed that the concentration of FABP4 above the cut-off value increased the risk of NPDR (odds ratio [OR], 3.231; 95% confidence interval [CI], 1.574 to 6.632; P=0.001) and PDR (OR, 3.689; 95% CI, 1.306 to 10.424; P=0.014).
FABP4 may be used as a serum biomarker for the diagnosis of DR.


Citations to this article as recorded by  
  • Circulating AFABP, FGF21, and PEDF Levels as Prognostic Biomarkers of Sight-threatening Diabetic Retinopathy
    Chi-Ho Lee, David Tak-Wai Lui, Chloe Yu-Yan Cheung, Carol Ho-Yi Fong, Michele Mae-Ann Yuen, Yu-Cho Woo, Wing-Sun Chow, Ian Yat-Hin Wong, Aimin Xu, Karen Siu-Ling Lam
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(9): e799.     CrossRef
  • A Prediction Model for Sight-Threatening Diabetic Retinopathy Based on Plasma Adipokines among Patients with Mild Diabetic Retinopathy
    Yaxin An, Bin Cao, Kun Li, Yongsong Xu, Wenying Zhao, Dong Zhao, Jing Ke, Takayuki Masaki
    Journal of Diabetes Research.2023; 2023: 1.     CrossRef
Article image
Relationships between Islet-Specific Autoantibody Titers and the Clinical Characteristics of Patients with Diabetes Mellitus
Yiqian Zhang, Tong Yin, Xinlei Wang, Rongping Zhang, Jie Yuan, Yi Sun, Jing Zong, Shiwei Cui, Yunjuan Gu
Diabetes Metab J. 2021;45(3):404-416.   Published online July 21, 2020
  • 6,757 View
  • 165 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   

Dysimmunity plays a key role in diabetes, especially type 1 diabetes mellitus. Islet-specific autoantibodies (ISAs) have been used as diagnostic markers for different phenotypic classifications of diabetes. This study was aimed to explore the relationships between ISA titers and the clinical characteristics of diabetic patients.


A total of 509 diabetic patients admitted to Department of Endocrinology and Metabolism at the Affiliated Hospital of Nantong University were recruited. Anthropometric parameters, serum biochemical index, glycosylated hemoglobin, urinary microalbumin/creatinine ratio, ISAs, fat mass, and islet β-cell function were measured. Multiple linear regression analysis was performed to identify relationships between ISA titers and clinical characteristics.


Compared with autoantibody negative group, blood pressure, weight, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), visceral fat mass, fasting C-peptide (FCP), 120 minutes C-peptide (120minCP) and area under C-peptide curve (AUCCP) of patients in either autoantibody positive or glutamate decarboxylase antibody (GADA) positive group were lower. Body mass index (BMI), waist circumference, triglycerides (TGs), body fat mass of patients in either autoantibody positive group were lower than autoantibody negative group. GADA titer negatively correlated with TC, LDL-C, FCP, 120minCP, and AUCCP. The islet cell antibody and insulin autoantibody titers both negatively correlated with body weight, BMI, TC, TG, and LDL-C. After adjusting confounders, multiple linear regression analysis showed that LDL-C and FCP negatively correlated with GADA titer.


Diabetic patients with a high ISA titer, especially GADA titer, have worse islet β-cell function, but less abdominal obesity and fewer features of the metabolic syndrome.


Citations to this article as recorded by  
  • Relationship between β-Cell Autoantibodies and Their Combination with Anthropometric and Metabolic Components and Microvascular Complications in Latent Autoimmune Diabetes in Adults
    Tomislav Bulum, Marijana Vučić Lovrenčić, Jadranka Knežević Ćuća, Martina Tomić, Sandra Vučković-Rebrina, Lea Duvnjak
    Biomedicines.2023; 11(9): 2561.     CrossRef
  • RETRACTED ARTICLE: MiRNA-27a mediates insulin resistance in 3T3-L1 cells through the PPARγ
    Yangming Zhuang, Ming Li
    Molecular and Cellular Biochemistry.2022; 477(4): 1107.     CrossRef
  • Correlation between Insulin Resistance and Microalbuminuria Creatinine Ratio in Postmenopausal Women
    Han Na, Rong Wang, Hai-Long Zheng, Xiao-Pan Chen, Lin-Yang Zheng, Faustino R. Perez-Lopez
    International Journal of Endocrinology.2022; 2022: 1.     CrossRef
  • The longitudinal loss of islet autoantibody responses from diagnosis of type 1 diabetes occurs progressively over follow-up and is determined by low autoantibody titres, early-onset, and genetic variants
    C L Williams, R Fareed, G L M Mortimer, R J Aitken, I V Wilson, G George, K M Gillespie, A J K Williams, Chitrabhanu Ballav, Atanu Dutta, Michelle Russell-Taylor, Rachel Besser, James Bursell, Shanthi Chandran, Sejal Patel, Anne Smith, Manohara Kenchaiah,
    Clinical and Experimental Immunology.2022; 210(2): 151.     CrossRef

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