The potential of circulating free DNA of methylated IGFBP as a biomarker for type 2 diabetes Mellitus: A Comprehensive review.

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-01 Epub Date: 2024-12-18 DOI:10.1016/j.cca.2024.120104
Audrey Belinda, Farizky Martriano Humardani, Sulistyo Emantoko Dwi Putra, Bhanu Widyadhana
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Abstract

T2DM detection methods are commonly used in teens and adults but are generally unsuitable to unborn fetuses in the context of non-invasive prenatal testing (NIPT). Biophysical and biochemical tests for fetuses are often invasive, carry risks, and have low sensitivity and specificity, with no direct method available to diagnose T2DM in utero. In contrast, cell-free DNA (cfDNA) is known have high sensitivity (93-98 %) and specificity (94-100 %) for cancer detection and fetal genetic disorders (trisomy 21, 8, and 13) making it applicable for fetal epigenetic and genetic analysis, including T2DM early detection. However, no study has explored its use for this purpose. Our review focuses on the potential of IGFBP methylation levels in cfDNA as biomarkers for NIPT of T2DM. Placental global hypomethylation in GDM may predict T2DM during the prenatal period, and a similar pattern potentially be detected in cfDNA. Targeted genes reliable for NIPT, such as IGFBPs are needed because their significant role in T2DM and GDM. Among these, IGFBP-1 and IGFBP-2 have shown potential as predictive genes, exhibiting hypermethylation in placental tissue from GDM cases. This hypermethylation reduces their expression and the formation of the IGF-1-IGFBP complex, leading to increased levels of free IGF-1, which is associated with T2DM in the fetus. Hypermethylation regions have longer fragment sizes in cfDNA, thus in T2DM cases, hypermethylation of IGFBP-1 and IGFBP-2 from fetus results in longer cfDNA fragments. Therefore, analyzing the methylation levels and fragment sizes of IGFBP-1 or IGFBP-2 cfDNA could be a promising biomarker for identifying fetal T2DM risk non-invasively.

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循环游离DNA甲基化IGFBP作为2型糖尿病生物标志物的潜力:全面综述
T2DM检测方法通常用于青少年和成人,但在无创产前检测(NIPT)的背景下,通常不适用于未出生的胎儿。胎儿的生物物理和生化检查通常是侵入性的,有风险,敏感性和特异性较低,没有直接诊断子宫内T2DM的方法。相比之下,已知无细胞DNA (cfDNA)在癌症检测和胎儿遗传疾病(21、8和13三体)方面具有高灵敏度(93-98 %)和特异性(94-100 %),使其适用于胎儿表观遗传学和遗传分析,包括T2DM早期检测。然而,没有研究探索它在这方面的用途。我们的综述侧重于cfDNA中IGFBP甲基化水平作为T2DM NIPT生物标志物的潜力。GDM胎盘整体低甲基化可能预测产前阶段的T2DM, cfDNA中也可能检测到类似的模式。由于igfbp在T2DM和GDM中的重要作用,因此需要可靠的NIPT靶向基因,如igfbp。其中,IGFBP-1和IGFBP-2已显示出作为预测基因的潜力,在GDM病例的胎盘组织中显示出高甲基化。这种高甲基化降低了它们的表达和IGF-1- igfbp复合物的形成,导致游离IGF-1水平升高,这与胎儿的T2DM有关。cfDNA的高甲基化区域具有更长的片段大小,因此在T2DM病例中,胎儿IGFBP-1和IGFBP-2的高甲基化导致更长的cfDNA片段。因此,分析IGFBP-1或IGFBP-2 cfDNA的甲基化水平和片段大小可能是一种有希望的无创识别胎儿T2DM风险的生物标志物。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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