Blood-Based DNA Methylation Biomarkers for Type 2 Diabetes: Potential for Clinical Applications

被引:57
|
作者
Willmer, Tarryn [1 ]
Johnson, Rabia [1 ,2 ]
Louw, Johan [1 ,3 ]
Pheiffer, Carmen [1 ,2 ]
机构
[1] South African Med Res Council, Biomed Res & Innovat Platform, Tygerberg, South Africa
[2] Stellenbosch Univ, Div Med Physiol, Fac Hlth Sci, Tygerberg, South Africa
[3] Univ Zululand, Dept Biochem & Microbiol, Kwa Dlangezwa, South Africa
来源
FRONTIERS IN ENDOCRINOLOGY | 2018年 / 9卷
基金
新加坡国家研究基金会; 英国医学研究理事会;
关键词
global DNA methylation; gene-specific DNA methylation; genome-wide DNA methylation; blood; type; 2; diabetes; biomarkers; EPIGENOME-WIDE ASSOCIATION; THIOREDOXIN-INTERACTING PROTEIN; FTO GENE VARIANT; KINASE-C-ZETA; INSULIN-RESISTANCE; CARDIOVASCULAR-DISEASE; EPIGENETIC REGULATION; PERIPHERAL-BLOOD; ADIPOSE-TISSUE; GLUCOSE;
D O I
10.3389/fendo.2018.00744
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Type 2 diabetes (T2D) is a leading cause of death and disability worldwide. It is a chronic metabolic disorder that develops due to an interplay of genetic, lifestyle, and environmental factors. The biological onset of the disease occurs long before clinical symptoms develop, thus the search for early diagnostic and prognostic biomarkers, which could facilitate intervention strategies to prevent or delay disease progression, has increased considerably in recent years. Epigenetic modifications represent important links between genetic, environmental and lifestyle cues and increasing evidence implicate altered epigenetic marks such as DNA methylation, the most characterized and widely studied epigenetic mechanism, in the pathogenesis of T2D. This review provides an update of the current status of DNA methylation as a biomarker for T2D. Four databases, Scopus, Pubmed, Cochrane Central, and Google Scholar were searched for studies investigating DNA methylation in blood. Thirty-seven studies were identified, and are summarized with respect to population characteristics, biological source, and method of DNA methylation quantification (global, candidate gene or genome-wide). We highlight that differential methylation of the TCF7L2, KCNQ1, ABCG1, TXNIP, PHOSPHO1, SREBF1, SLC30A8, and FTO genes in blood are reproducibly associated with T2D in different population groups. These genes should be prioritized and replicated in longitudinal studies across more populations in future studies. Finally, we discuss the limitations faced by DNA methylation studies, which include including interpatient variability, cellular heterogeneity, and lack of accounting for study confounders. These limitations and challenges must be overcome before the implementation of blood-based DNA methylation biomarkers into a clinical setting. We emphasize the need for longitudinal prospective studies to support the robustness of the current findings of this review.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Associations of Clinical Risk Factors and Novel Biomarkers With Age at Onset of Type 2 Diabetes
    Chen, Jun-Xiang
    Geng, Tingting
    Zhang, Yan-Bo
    Wang, Yi
    Li, Rui
    Qiu, Zixin
    Wang, Yuexuan
    Yang, Kun
    Zhang, Bing-Fei
    Ruan, Hua-Ling
    Zhou, Yan-Feng
    Pan, An
    Liu, Gang
    Liao, Yun-Fei
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2024, 109 (01) : e321 - e329
  • [22] Associations of Clinical Risk Factors and Novel Biomarkers With Age at Onset of Type 2 Diabetes
    Chen, Jun-Xiang
    Geng, Tingting
    Zhang, Yan-Bo
    Wang, Yi
    Li, Rui
    Qiu, Zixin
    Wang, Yuexuan
    Yang, Kun
    Zhang, Bing-Fei
    Ruan, Hua-Ling
    Zhou, Yan-Feng
    Pan, An
    Liu, Gang
    Liao, Yun-Fei
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2023, 109 (01) : e321 - e329
  • [23] The potential of novel biomarkers to improve risk prediction of type 2 diabetes
    Herder, Christian
    Kowall, Bernd
    Tabak, Adam G.
    Rathmann, Wolfgang
    DIABETOLOGIA, 2014, 57 (01) : 16 - 29
  • [24] Blood-based DNA methylation as biomarker for breast cancer: a systematic review
    Tang, Qiuqiong
    Cheng, Jie
    Cao, Xue
    Surowy, Harald
    Burwinkel, Barbara
    CLINICAL EPIGENETICS, 2016, 8
  • [25] DNA methylation trajectories and accelerated epigenetic aging in incident type 2 diabetes
    Fraszczyk, Eliza
    Thio, Chris H. L.
    Wackers, Paul
    Dolle, Martijn E. T.
    Bloks, Vincent W.
    Hodemaekers, Hennie
    Picavet, H. Susan
    Stynenbosch, Marjolein
    Verschuren, W. M. Monique
    Snieder, Harold
    Spijkerman, Annemieke M. W.
    Luijten, Mirjam
    GEROSCIENCE, 2022, 44 (06) : 2671 - 2684
  • [26] Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults
    Florath, Ines
    Butterbach, Katja
    Heiss, Jonathan
    Bewerunge-Hudler, Melanie
    Zhang, Yan
    Schoettker, Ben
    Brenner, Hermann
    DIABETOLOGIA, 2016, 59 (01) : 130 - 138
  • [27] Sixteen-Year Longitudinal Evaluation of Blood-Based DNA Methylation Biomarkers for Early Prediction of Alzheimer's Disease
    Hackenhaar, Fernanda Schafer
    Josefsson, Maria
    Adolfsson, Annelie Nordin
    Landfors, Mattias
    Kauppi, Karolina
    Porter, Tenielle
    Milicic, Lidija
    Laws, Simon M.
    Hultdin, Magnus
    Adolfsson, Rolf
    Degerman, Sofie
    Pudas, Sara
    JOURNAL OF ALZHEIMERS DISEASE, 2023, 94 (04) : 1443 - 1464
  • [28] Blood-Based Epigenetic Biomarkers Associated With Incident Chronic Kidney Disease in Individuals With Type 2 Diabetes
    Marchiori, Marian
    Maguolo, Alice
    Perfilyev, Alexander
    Maziarz, Marlena
    Martinell, Mats
    Gomez, Maria F.
    Ahlqvist, Emma
    Garcia-Calzon, Sonia
    Ling, Charlotte
    DIABETES, 2025, 74 (03) : 439 - 450
  • [29] DNA methylation markers associated with type 2 diabetes, fasting glucose and HbA1c levels: a systematic review and replication in a case-control sample of the Lifelines study
    Walaszczyk, Eliza
    Luijten, Mirjam
    Spijkerman, Annemieke M. W.
    Bonder, Marc J.
    Lutgers, Helen L.
    Snieder, Harold
    Wolffenbuttel, Bruce H. R.
    van Vliet-Ostaptchouk, Jana V.
    DIABETOLOGIA, 2018, 61 (02) : 354 - 368
  • [30] Programming of DNA methylation in type 2 diabetes
    Simmons, R. A.
    DIABETOLOGIA, 2013, 56 (05) : 947 - 948