Diabetes & Metabolism Journal

Zhiguang Zhou (Zhou Z)

2 Articles

Technology/Device
Glutamic Acid Decarboxylase Autoantibody Detection by Electrochemiluminescence Assay Identifies Latent Autoimmune Diabetes in Adults with Poor Islet Function: Yuxiao Zhu, Li Qian, Qing Liu, Jing Zou, Ying Zhou, Tao Yang, Gan Huang, Zhiguang Zhou, Yu Liu; Diabetes Metab J. 2020;44(2):260-266. Published online November 12, 2019; DOI: https://doi.org/10.4093/dmj.2019.0007

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Background

The detection of glutamic acid decarboxylase 65 (GAD65) autoantibodies is essential for the prediction and diagnosis of latent autoimmune diabetes in adults (LADA). The aim of the current study was to compare a newly developed electrochemiluminescence (ECL)-GAD65 antibody assay with the established radiobinding assay, and to explore whether the new assay could be used to define LADA more precisely.

Methods

Serum samples were harvested from 141 patients with LADA, 95 with type 1 diabetes mellitus, and 99 with type 2 diabetes mellitus, and tested for GAD65 autoantibodies using both the radiobinding assay and ECL assay. A glutamic acid decarboxylase antibodies (GADA) competition assay was also performed to assess antibody affinity. Furthermore, the clinical features of these patients were compared.

Results

Eighty-eight out of 141 serum samples (62.4%) from LADA patients were GAD65 antibody-positive by ECL assay. Compared with ECL-GAD65 antibody-negative patients, ECL-GAD65 antibody-positive patients were leaner (P<0.0001), had poorer β-cell function (P<0.05), and were more likely to have other diabetes-associated autoantibodies. The β-cell function of ECL-GAD65 antibody-positive patients was similar to that of type 1 diabetes mellitus patients, whereas ECL-GAD65 antibody-negative patients were more similar to type 2 diabetes mellitus patients.

Conclusion

Patients with ECL-GAD65 antibody-negative share a similar phenotype with type 2 diabetes mellitus patients, whereas patients with ECL-GAD65 antibody-positive resemble those with type 1 diabetes mellitus. Thus, the detection of GADA using ECL may help to identify the subtype of LADA.

Citations

Citations to this article as recorded by

2. Diagnosis and Classification of Diabetes:Standards of Care in Diabetes—2024
Nuha A. ElSayed, Grazia Aleppo, Raveendhara R. Bannuru, Dennis Bruemmer, Billy S. Collins, Laya Ekhlaspour, Jason L. Gaglia, Marisa E. Hilliard, Eric L. Johnson, Kamlesh Khunti, Ildiko Lingvay, Glenn Matfin, Rozalina G. McCoy, Mary Lou Perry, Scott J. Pil
Diabetes Care.2024; 47(Supplement): S20. CrossRef
2. Classification and Diagnosis of Diabetes:Standards of Care in Diabetes—2023
Nuha A. ElSayed, Grazia Aleppo, Vanita R. Aroda, Raveendhara R. Bannuru, Florence M. Brown, Dennis Bruemmer, Billy S. Collins, Jason L. Gaglia, Marisa E. Hilliard, Diana Isaacs, Eric L. Johnson, Scott Kahan, Kamlesh Khunti, Jose Leon, Sarah K. Lyons, Mary
Diabetes Care.2023; 46(Supplement): S19. CrossRef
Determination of autoantibodies in type 2 diabetes: one simple way to improve classification
Johnny Ludvigsson
Diabetologia.2023; 66(5): 955. CrossRef
2. Classification and Diagnosis of Diabetes:Standards of Medical Care in Diabetes—2022

Diabetes Care.2022; 45(Supplement): S17. CrossRef
Screening Strategy for Islet Autoantibodies in Diabetes Patients of Different Ages
Xixi Nan, Xia Li, Yufei Xiang, Xiang Yan, Houde Zhou, Xiaohan Tang, Jin Cheng, Xiaohong Niu, Jing Liu, Qiuhe Ji, Linong Ji, Gan Huang, Zhiguang Zhou
Diabetes Technology & Therapeutics.2022; 24(3): 212. CrossRef
Atypical Diabetes and Management Considerations
Shivajirao Prakash Patil
Primary Care: Clinics in Office Practice.2022; 49(2): 225. CrossRef
Latent autoimmune diabetes in adults: a focus on β-cell protection and therapy
Wenfeng Yin, Shuoming Luo, Zilin Xiao, Ziwei Zhang, Bingwen Liu, Zhiguang Zhou
Frontiers in Endocrinology.2022;[Epub] CrossRef
Analysis of detrended fluctuation function derived from continuous glucose monitoring may assist in distinguishing latent autoimmune diabetes in adults from T2DM
Liyin Zhang, Qi Tian, Keyu Guo, Jieru Wu, Jianan Ye, Zhiyi Ding, Qin Zhou, Gan Huang, Xia Li, Zhiguang Zhou, Lin Yang
Frontiers in Endocrinology.2022;[Epub] CrossRef
Prevalence of antibodies targeting ubiquitin-conjugating enzyme 2L3 and eukaryote translation elongation factor 1 α1 in Chinese Han and American Caucasian populations with type 1 diabetes
Li Qian, Yuxiao Zhu, Yan Luo, Mu Zhang, Liping Yu, Yu Liu, Tao Yang
Endocrine Connections.2022;[Epub] CrossRef
2. Classification and Diagnosis of Diabetes:Standards of Medical Care in Diabetes—2021

Diabetes Care.2021; 44(Supplement): S15. CrossRef
High-Affinity ZnT8 Autoantibodies by Electrochemiluminescence Assay Improve Risk Prediction for Type 1 Diabetes
Xiaofan Jia, Ling He, Dongmei Miao, Kathleen Waugh, Cristy Geno Rasmussen, Fran Dong, Andrea K Steck, Marian Rewers, Liping Yu
The Journal of Clinical Endocrinology & Metabolism.2021;[Epub] CrossRef
Lada or Type 2 Diabetes Mellitus - A Challenging Diagnosis in Clinical Approach
Lucia Mihaela Custură, Oana Deteşan, Raluca Maria Tilinca, Reka Annamaria Schmiedt, Brigitta Irén Bacso, Mariana Cornelia Tilinca
Acta Medica Transilvanica.2021; 26(3): 55. CrossRef
A fluorescence enhancement assay for measurement of glutamate decarboxylase activity
Messripour Manoochehr, Mesripour Azadeh
Open Journal of Analytical and Bioanalytical Chemistry.2020; : 007. CrossRef

Technology/Device
Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis: Wenqi Fan, Chao Deng, Ruoyao Xu, Zhenqi Liu, Richard David Leslie, Zhiguang Zhou, Xia Li; Received March 17, 2024 Accepted July 24, 2024 Published online November 13, 2024; DOI: https://doi.org/10.4093/dmj.2024.0130 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.

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