血清FGF23和DPP4水平作为2型糖尿病合并冠心病患者冠状动脉疾病严重程度的生物标志物

IF 2.1 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
International Journal of General Medicine Pub Date : 2025-03-28 eCollection Date: 2025-01-01 DOI:10.2147/IJGM.S517028
Xuanli Zhong, Zhanyun Liang, Haiming Liao, Yuanyuan Zhan, Ge Li, Huanping Wu, Jinying Li
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引用次数: 0

摘要

目的:探讨2型糖尿病(T2DM)合并冠心病(CHD)患者血清成纤维细胞生长因子23 (FGF23)、二肽基肽酶4 (DPP4)水平与冠心病(CAD)严重程度及预后的关系。方法:在2021年1月至2023年6月期间,共有113例T2DM和CHD合并患者(T2DM+CHD组)和74例T2DM无CHD患者(T2DM-only组)接受了冠状动脉造影。根据Gensini评分将T2DM+CHD组进一步分为轻度(n=38)、中度(n=46)和重度(n=29)三个亚组。采用酶联免疫吸附法(ELISA)检测血清FGF23和DPP4水平。进行相关分析和逻辑回归来评估生物标志物水平与疾病严重程度和预后之间的关系。采用受试者工作特征(ROC)曲线分析评价这些生物标志物的预测价值。结果:T2DM+CHD组血清FGF23和DPP4水平显著高于T2DM+CHD组(结论:T2DM+CHD患者血清FGF23和DPP4水平升高与冠心病严重程度及预后不良均有显著相关性。这些发现表明,FGF23和DPP4可能是该患者群体风险分层和临床决策的有价值的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum FGF23 and DPP4 Levels as Biomarkers for Coronary Artery Disease Severity in Type 2 Diabetic Patients with Coronary Heart Disease.

Objective: This study aimed to evaluate the relationship between serum fibroblast growth factor 23 (FGF23) and dipeptidyl peptidase 4 (DPP4) levels, and the severity and prognosis of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD).

Methods: A total of 113 patients with both T2DM and CHD (T2DM+CHD group) and 74 patients with T2DM without CHD (T2DM-only group) who underwent coronary angiography between January 2021 and June 2023 were enrolled. Based on Gensini scores, the T2DM+CHD group was further divided into three subgroups: mild (n=38), moderate (n=46), and severe (n=29) lesions. Serum levels of FGF23 and DPP4 were determined using enzyme-linked immunosorbent assay (ELISA). Correlation analysis and logistic regression were conducted to assess the association between biomarker levels and both disease severity and prognosis. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of these biomarkers.

Results: Serum levels of FGF23 and DPP4 were significantly higher in the T2DM+CHD group than in the T2DM-only group (P<0.05), and increased progressively with the severity of CAD (P<0.05). A positive correlation was observed between the levels of these biomarkers and CAD severity (r=0.714 for FGF23; r=0.437 for DPP4; P<0.05). Patients with poor prognosis exhibited increased left atrial diameter (LAD) and biomarker levels, along with reduced left ventricular ejection fraction (LVEF) (P<0.05). Multivariate analysis identified increased LAD, moderate-to-severe CAD, and elevated levels of FGF23/DPP4 as independent risk factors for poor prognosis, while higher LVEF served as a protective factor (P<0.05). Moreover, a combined predictive model using both FGF23 and DPP4 demonstrated superior diagnostic performance (AUC=0.921; P<0.05) compared to the use of each biomarker individually.

Conclusion: Elevated serum levels of FGF23 and DPP4 are significantly associated with both the severity and poor prognosis of CAD in patients with T2DM and CHD. These findings suggest that FGF23 and DPP4 may serve as valuable biomarkers for risk stratification and clinical decision-making in this patient population.

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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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