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Original Articles
- Metabolic Risk/Epidemiology
- Multiple Biomarkers Improved Prediction for the Risk of Type 2 Diabetes Mellitus in Singapore Chinese Men and Women
- Yeli Wang, Woon-Puay Koh, Xueling Sim, Jian-Min Yuan, An Pan
- Diabetes Metab J. 2020;44(2):295-306. Published online November 22, 2019
- DOI: https://doi.org/10.4093/dmj.2019.0020
- 6,545 View
- 113 Download
- 9 Web of Science
- 9 Crossref
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Abstract
PDF
Supplementary Material
PubReader Background Multiple biomarkers have performed well in predicting type 2 diabetes mellitus (T2DM) risk in Western populations. However, evidence is scarce among Asian populations.
Methods Plasma triglyceride-to-high density lipoprotein (TG-to-HDL) ratio, alanine transaminase (ALT), high-sensitivity C-reactive protein (hs-CRP), ferritin, adiponectin, fetuin-A, and retinol-binding protein 4 were measured in 485 T2DM cases and 485 age-and-sex matched controls nested within the prospective Singapore Chinese Health Study cohort. Participants were free of T2DM at blood collection (1999 to 2004), and T2DM cases were identified at the subsequent follow-up interviews (2006 to 2010). A weighted biomarker score was created based on the strengths of associations between these biomarkers and T2DM risks. The predictive utility of the biomarker score was assessed by the area under receiver operating characteristics curve (AUC).
Results The biomarker score that comprised of four biomarkers (TG-to-HDL ratio, ALT, ferritin, and adiponectin) was positively associated with T2DM risk (
P trend <0.001). Compared to the lowest quartile of the score, the odds ratio was 12.0 (95% confidence interval [CI], 5.43 to 26.6) for those in the highest quartile. Adding the biomarker score to a base model that included smoking, history of hypertension, body mass index, and levels of random glucose and insulin improved AUC significantly from 0.81 (95% CI, 0.78 to 0.83) to 0.83 (95% CI, 0.81 to 0.86;P =0.002). When substituting the random glucose levels with glycosylated hemoglobin in the base model, adding the biomarker score improved AUC from 0.85 (95% CI, 0.83 to 0.88) to 0.86 (95% CI, 0.84 to 0.89;P =0.032).Conclusion A composite score of blood biomarkers improved T2DM risk prediction among Chinese.
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Citations
Citations to this article as recorded by
- The association between retinol-binding protein 4 and risk of type 2 diabetes: A systematic review and meta-analysis
Xiaomeng Tan, Han Zhang, Limin Liu, Zengli Yu, Xinxin Liu, Lingling Cui, Yao Chen, Huanhuan Zhang, Zhan Gao, Zijian Zhao
International Journal of Environmental Health Research.2024; 34(2): 1053. CrossRef - Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea
Kang-Su Shin, Min-Seung Park, Mi Yeon Lee, Eun Hye Cho, Hee-Yeon Woo, Hyosoon Park, Min-Jung Kwon
Scandinavian Journal of Clinical and Laboratory Investigation.2024; 84(3): 168. CrossRef - Are Oxidative Stress Biomarkers Reliable Part of Multimarker Panel in Female Patients with Type 2 Diabetes Mellitus?
Aleksandra Klisic, Paschalis Karakasis, Dimitrios Patoulias, Amirmohammad Khalaji, Ana Ninić
Metabolic Syndrome and Related Disorders.2024; 22(9): 679. CrossRef - Development and evaluation of a chronic kidney disease risk prediction model using random forest
Krish Mendapara
Frontiers in Genetics.2024;[Epub] CrossRef - Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study
Ji Hye Huh, Eun Roh, Seong Jin Lee, Sung-Hee Ihm, Kyung-Do Han, Jun Goo Kang
Diabetes Care.2023; 46(2): 305. CrossRef - A FRAMEWORK FOR THE ANALYSIS OF COMORBID CONDITIONS USING INTELLIGENT EXTRACTION OF MULTIPLE FLUID BIOMARKERS
PRIYANKA JADHAV, VINOTHINI SELVARAJU, SARITH P SATHIAN, RAMAKRISHNAN SWAMINATHAN
Journal of Mechanics in Medicine and Biology.2023;[Epub] CrossRef - Strikes and Gutters: Biomarkers and anthropometric measures for predicting diagnosed diabetes mellitus in adults in low- and middle-income countries
Sally Sonia Simmons
Heliyon.2023; 9(9): e19494. CrossRef - Association of IL-16 rs11556218 T/G polymorphism with the risk of developing type 2 diabetes mellitus
Dalia Ghareeb Mohammad, Hamdy Omar, Taghrid B. El-Abaseri, Wafaa Omar, Shaymaa Abdelraheem
Journal of Diabetes & Metabolic Disorders.2021; 20(1): 649. CrossRef - Biomarker Score in Risk Prediction: Beyond Scientific Evidence and Statistical Performance
Heejung Bang
Diabetes & Metabolism Journal.2020; 44(2): 245. CrossRef
- The association between retinol-binding protein 4 and risk of type 2 diabetes: A systematic review and meta-analysis
- Metabolic Risk/Epidemiology
- Plasma CD36 and Incident Diabetes: A Case-Cohort Study in Danish Men and Women
- Yeli Wang, Jingwen Zhu, Sarah Aroner, Kim Overvad, Tianxi Cai, Ming Yang, Anne Tjønneland, Aase Handberg, Majken K. Jensen
- Diabetes Metab J. 2020;44(1):134-142. Published online October 18, 2019
- DOI: https://doi.org/10.4093/dmj.2018.0273
- 5,244 View
- 80 Download
- 3 Web of Science
- 3 Crossref
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Abstract
PDFSupplementary MaterialPubReader
Background Membrane CD36 is a fatty acid transporter implicated in the pathogenesis of metabolic disease. We aimed to evaluate the association between plasma CD36 levels and diabetes risk and to examine if the association was independent of adiposity among Danish population.
Methods We conducted a case-cohort study nested within the Danish Diet, Cancer and Health study among participants free of cardiovascular disease, diabetes and cancer and with blood samples and anthropometric measurements (height, weight, waist circumference, and body fat percentage) at baseline (1993 to 1997). CD36 levels were measured in 647 incident diabetes cases that occurred before December 2011 and a total of 3,515 case-cohort participants (236 cases overlap).
Results Higher plasma CD36 levels were associated with higher diabetes risk after adjusting for age, sex and other lifestyle factors. The hazard ratio (HR) comparing high versus low tertile of plasma CD36 levels was 1.36 (95% confidence interval [CI], 1.00 to 1.86). However, the association lost its significance after further adjustment for different adiposity indices such as body mass index (HR, 1.23; 95% CI, 0.87 to 1.73), waist circumference (HR, 1.21; 95% CI, 0.88 to 1.68) or body fat percentage (HR, 1.20; 95% CI, 0.86 to 1.66). Moreover, raised plasma CD36 levels were moderately associated with diabetes risk among lean participants, but the association was not present among overweight/obese individuals.
Conclusion Higher plasma CD36 levels were associated with higher diabetes risk, but the association was not independent of adiposity. In this Danish population, the association of CD36 with diabetes risk could be either mediated or confounded by adiposity.
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Citations
Citations to this article as recorded by- Biomarkers of insulin sensitivity/resistance
Constantine E Kosmas, Andreas Sourlas, Konstantinos Oikonomakis, Eleni-Angeliki Zoumi, Aikaterini Papadimitriou, Christina E Kostara
Journal of International Medical Research.2024;[Epub] CrossRef - The Multifunctionality of CD36 in Diabetes Mellitus and Its Complications—Update in Pathogenesis, Treatment and Monitoring
Kamila Puchałowicz, Monika Ewa Rać
Cells.2020; 9(8): 1877. CrossRef - The Role of CD36 in Type 2 Diabetes Mellitus: β-Cell Dysfunction and Beyond
Jun Sung Moon, Udayakumar Karunakaran, Elumalai Suma, Seung Min Chung, Kyu Chang Won
Diabetes & Metabolism Journal.2020; 44(2): 222. CrossRef
- Biomarkers of insulin sensitivity/resistance
- Epidemiology
- Plasma Fetuin-A Levels and Risk of Type 2 Diabetes Mellitus in A Chinese Population: A Nested Case-Control Study
- Yeli Wang, Woon-Puay Koh, Majken K. Jensen, Jian-Min Yuan, An Pan
- Diabetes Metab J. 2019;43(4):474-486. Published online March 20, 2019
- DOI: https://doi.org/10.4093/dmj.2018.0171
- 5,654 View
- 90 Download
- 9 Web of Science
- 9 Crossref
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Abstract
PDFSupplementary MaterialPubReader
Background Fetuin-A is a hepatokine that involved in the pathogenesis of insulin resistance. Previous epidemiological studies have found a positive association between blood fetuin-A and type 2 diabetes mellitus (T2DM) risk among Caucasians and African Americans. We aimed to investigate the prospective relationship between fetuin-A and T2DM in an Asian population for the first time.
Methods A nested case-control study was established within a prospective cohort of Chinese living in Singapore. At blood collection (1999 to 2004), all participants were free of diagnosed T2DM and aged 50 to 79 years. At subsequent follow-up (2006 to 2010), 558 people reported to have T2DM and were classified as incident cases, and 558 controls were randomly chosen from the participants who did not develop T2DM to match with cases on age, sex, dialect group, and date of blood collection. Plasma fetuin-A levels were measured retrospectively in cases and controls using samples collected at baseline. Conditional logistic regression models were used to compute the odds ratio (OR) and 95% confidence interval (CI). Restricted cubic spline analysis was used to examine a potential non-linear association between fetuin-A levels and T2DM risk.
Results Compared with those in the lowest fetuin-A quintile, participants in the highest quintile had a two-fold increased risk of developing T2DM (OR, 2.06; 95% CI, 1.21 to 3.51). A non-linear association was observed (
P nonlinearity=0.005), where the association between fetuin-A levels and T2DM risk plateaued at plasma concentrations around 830 µg/mL.Conclusion There is a positive association between plasma fetuin-A levels and risk of developing T2DM in this Chinese population.
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Citations
Citations to this article as recorded by- The predicted mechanisms and evidence of probiotics on type 2 diabetes mellitus (T2DM)
Ousman Bajinka, Kodzovi Sylvain Dovi, Lucette Simbilyabo, Ishmail Conteh, Yurong Tan
Archives of Physiology and Biochemistry.2024; 130(4): 475. CrossRef - Type 2 diabetes and gut health - Narrative review
Janeline Lunghar, A. Thahira Banu
International Journal of Noncommunicable Diseases.2024; 9(1): 4. CrossRef - The significance and prognostic, diagnostic, and therapeutic potential of selected paracrine factors in type 2 diabetes
Mariusz Kuczera, Klaudia Stocerz, Arkadiusz Sokal, Magdalena Glin, Kinga Orlińska, Jan Siwiec, Paweł Olczyk
Annales Academiae Medicae Silesiensis.2024; 78: 179. CrossRef - Multiplexed measurements of salivary fetuin-A, insulin, and adiponectin as potential non-invasive biomarkers in childhood obesity
Vaithinathan Selvaraju, Jeganathan R. Babu, Thangiah Geetha
Cytokine.2022; 153: 155843. CrossRef - Recent Developments in Biomarkers for Diagnosis and Screening of Type 2 Diabetes Mellitus
Margarita Ortiz-Martínez, Mirna González-González, Alexandro J. Martagón, Victoria Hlavinka, Richard C. Willson, Marco Rito-Palomares
Current Diabetes Reports.2022; 22(3): 95. CrossRef - Serum Fetuin-A and Risk of Gestational Diabetes Mellitus: An Observational Study and Mendelian Randomization Analysis
Ping Wu, Yi Wang, Yi Ye, Xue Yang, Qi Lu, Jiaying Yuan, Li Zha, Yan Liu, Xingyue Song, Shijiao Yan, Ying Wen, Xiaorong Qi, Chun-Xia Yang, Yixin Wang, Gang Liu, Chuanzhu Lv, Xiong-Fei Pan, An Pan
The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): e3841. CrossRef - Hepatokines as a Molecular Transducer of Exercise
Dae Yun Seo, Se Hwan Park, Jubert Marquez, Hyo-Bum Kwak, Tae Nyun Kim, Jun Hyun Bae, Jin-Ho Koh, Jin Han
Journal of Clinical Medicine.2021; 10(3): 385. CrossRef - Serum Fetuin‐B Levels Are Elevated in Women with Metabolic Syndrome and Associated with Increased Oxidative Stress
Shiyao Xue, Hongdong Han, Shunli Rui, Mengliu Yang, Yizhou Huang, Bin Zhan, Shan Geng, Hua Liu, Chen Chen, Gangyi Yang, Ling Li, Colin Murdoch
Oxidative Medicine and Cellular Longevity.2021;[Epub] CrossRef - CD44, a Predominant Protein in Methylglyoxal-Induced Secretome of Muscle Cells, is Elevated in Diabetic Plasma
Shakuntala Bai, Arvindkumar H. Chaurasiya, Reema Banarjee, Prachi B. Walke, Faraz Rashid, Ambika G. Unnikrishnan, Mahesh J. Kulkarni
ACS Omega.2020; 5(39): 25016. CrossRef
- The predicted mechanisms and evidence of probiotics on type 2 diabetes mellitus (T2DM)
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