Glycemic control modifies LDL-C-DKD risk: a U-shaped association in well-controlled type 2 diabetes.

IF 4 2区 农林科学 Q2 NUTRITION & DIETETICS
Frontiers in Nutrition Pub Date : 2025-09-17 eCollection Date: 2025-01-01 DOI:10.3389/fnut.2025.1660820
Kaili Zheng, Chaoyong He, Guangming Chen, Huabin Wang, Yongjun Ma
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引用次数: 0

Abstract

Background: The relationship between low-density lipoprotein cholesterol (LDL-C) levels and diabetic kidney disease (DKD) risk remains controversial, with limited evidence on its interaction with modifiable risk factors. This study aimed to investigate the dose-response relationship between LDL-C and DKD risk in patients with type 2 diabetes (T2D).

Methods: A retrospective cohort of 3,040 patients with T2D without baseline DKD was followed. Association between LDL-C and DKD risk was analyzed using Cox regression analysis, interaction analysis, and restricted cubic splines (RCS). Sensitivity analyses excluded lipid-lowering medication users, and threshold effects were validated using piecewise regression and survival analysis.

Results: A total of 665 (21.9%) patients developed DKD during the follow-up (median: 3.13 years). In the fully adjusted model, LDL-C as a continuous variable showed no significant association with DKD risk (p = 0.061). When analyzed by quartiles, the hazard ratios (HRs) displayed a non-monotonic pattern: Compared to Q1, Q2 had the lowest risk (HR = 0.69, p = 0.001), followed by a partial rebound in Q3 (HR = 0.80, p = 0.046), and a subsequent decline in Q4 (HR = 0.72, p = 0.005), suggesting potential non-linearity. A significant LDL-C-by-glycemia control interaction was observed (Pinteraction = 0.013). In the HbA1c ≤ 7% subgroup, RCS analysis demonstrated a U-shaped relationship between LDL-C and DKD risk (Pnon-linear < 0.001), with nadir risk observed at 2.66-3.57 mmol/L. The risk increased below 2.66 mmol/L (HR = 1.55, p = 0.015) and trended upward above 3.57 mmol/L (HR = 1.47, p = 0.121). In this subgroup, sensitivity analyses excluding lipid-lowering drug users confirmed robustness, and survival curves showed lower DKD incidence in the intermediate LDL-C group (2.66-3.57 mmol/L) vs. low/high groups (p = 0.004). No associations were found in the HbA1c > 7% subgroup.

Conclusion: Glycemic control modulates the LDL-C-DKD risk association in patients with T2D, with a U-shaped relationship observed in those with good glycemic control, thereby emphasizing the necessity of integrating glycemic status into LDL-C target evaluations.

血糖控制改变LDL-C-DKD风险:在控制良好的2型糖尿病中呈u形关联
背景:低密度脂蛋白胆固醇(LDL-C)水平与糖尿病肾病(DKD)风险之间的关系仍然存在争议,关于其与可改变危险因素相互作用的证据有限。本研究旨在探讨2型糖尿病(T2D)患者LDL-C和DKD风险之间的剂量-反应关系。方法:对3040例无基线DKD的T2D患者进行回顾性队列研究。采用Cox回归分析、相互作用分析和限制性三次样条(RCS)分析LDL-C与DKD风险之间的关系。敏感性分析排除了降脂药物使用者,并使用分段回归和生存分析验证阈值效应。结果:在随访期间,共有665例(21.9%)患者发生DKD(中位数:3.13 年)。在完全调整后的模型中,LDL-C作为连续变量与DKD风险无显著相关性(p = 0.061)。当分析四个风险比率,(小时)显示non-monotonic模式:与第一季度相比,第二季度风险最低(HR = 0.69,p = 0.001),其次是部分反弹Q3 (HR = 0.80,p = 0.046),和随后的第四季度下降(HR = 0.72,p = 0.005),表明潜在的非线性。观察到显著的ldl - c -血糖控制相互作用(p相互作用 = 0.013)。在HbA1c ≤ 7%亚组中,RCS分析显示LDL-C与DKD风险呈u型关系(非线性< 0.001),最低风险为2.66-3.57 mmol/L。下面的风险增加2.66 更易与L (HR = 1.55,p = 0.015)和趋势向上高于3.57 更易/ L (HR = 1.47,p = 0.121)。在该亚组中,排除降脂药物使用者的敏感性分析证实了稳健性,生存曲线显示中等LDL-C组(2.66-3.57 mmol/L)比低/高组(p = 0.004)的DKD发生率更低。在HbA1c > 7%亚组中未发现关联。结论:血糖控制可调节T2D患者LDL-C- dkd风险相关性,且在血糖控制良好的患者中呈u型关系,因此强调将血糖状态纳入LDL-C目标评估的必要性。
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来源期刊
Frontiers in Nutrition
Frontiers in Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
5.20
自引率
8.00%
发文量
2891
审稿时长
12 weeks
期刊介绍: No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.
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