肾小管健康的生物标志物与视网膜微血管体征的关联:动脉粥样硬化(MESA)的多民族研究。

IF 3 Q1 UROLOGY & NEPHROLOGY
Kidney360 Pub Date : 2025-09-05 DOI:10.34067/KID.0000000970
Armin Ahmadi, Hassan Gorji, Sanskrita Shashikant, Ronit Katz, Alfons J H M Houben, Robert N Weinreb, Matthew Allison, Stacy M Meuer, Barbara E Klein, Mary Frances Cotch, Orlando M Gutierrez, Mark J Sarnak, Michael Shlipak, Joachim H Ix, Rakesh Malhotra
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引用次数: 0

摘要

背景:CKD与心血管疾病(CVD)密切相关,但这种联系的病因学仍然难以捉摸。反映肾小管功能障碍和损伤的新的血液和尿液生物标志物可能为肾脏与心血管疾病的联系机制提供新的见解。方法:在470名无2型糖尿病、CVD或CKD的多民族动脉粥样硬化研究(MESA)参与者中,我们测量了6种血浆(肾损伤分子-1 [KIM-1]、单核细胞化学引诱蛋白-1 [MCP-1]、可溶性尿激酶纤溶酶原激活物受体[suPAR]、肿瘤坏死因子受体[TNFR] 1和2、抗几丁质酶3样蛋白1 [YKL-40])和6种尿(α -1微球蛋白[A-1M]、表皮生长因子[EGF]、KIM-1、MCP-1、YKL-40和尿调素[UMOD])肾小管健康生物标志物。为了评估微血管健康,我们使用眼底摄影评估的视网膜微血管测量:视网膜中央动脉和静脉当量(分别为CRAE和CRVE)。多变量线性回归评估小管生物标志物和肾功能与CRAE和CRVE的关系。结果:参与者平均年龄60±10岁,女性占52%。种族/民族分布为白人46%,非裔美国人24%,西班牙裔18%,华人11%。平均eGFR为92.1±13.3 mL/min/1.73m2,中位尿ACR为4.7 mg/g (IQR 3.0, 9.4)。较高的血浆KIM-1 (β -5.14, 95%可信区间[95% CI], -9.84至-0.45)和尿液KIM-1 (β -5.68, 95% CI, -10.15至-1.22)浓度单独与较窄的CRAE相关,而血浆suPAR浓度单独与较宽的CRAE (β 9.15, 95% CI, 0.89至17.4)和CRVE (β 21.49, 95% CI, 9.39至33.59)相关。其余小管健康生物标志物与CRAE或CRVE之间没有显著相关性,eGFR或尿ACR与CRAE和CRVE之间也没有相关性。结论:在这项没有慢性肾病、糖尿病或心血管疾病的社区生活个体的研究中,选定的肾小管健康标志物与视网膜微血管变化有关。这些发现表明,肾小管生物标志物可能反映或促成全身微血管功能障碍,而不仅仅是肾小球损伤。小管生物标志物可能有助于阐明连接CKD和CVD的共同微血管机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations of Biomarkers of Kidney Tubule Health with Retinal Microvascular Signs: The Multi-Ethnic Study of Atherosclerosis (MESA).

Background: CKD is strongly associated with cardiovascular disease (CVD), yet the etiology responsible for this link remains elusive. Novel blood and urine biomarkers reflecting kidney tubule dysfunction and injury may provide novel insights to mechanisms linking the kidney to CVD.

Methods: In 470 participants of the Multi-Ethnic Study of Atherosclerosis (MESA) without type 2 diabetes, CVD or CKD, we measured six plasma (kidney injury molecule-1 [KIM-1], monocyte chemoattractant protein-1 [MCP-1], soluble urokinase plasminogen activator receptor [suPAR], tumor necrosis factor receptor [TNFR] 1 and 2, and anti-chitinase-3-like protein 1 [YKL-40]) and six urinary (alpha 1 microglobulin [A-1M], epidermal growth factor [EGF], KIM-1, MCP-1, YKL-40 and uromodulin [UMOD]) kidney tubule health biomarkers. To assess microvascular health, we used retinal microvascular measurements assessed from fundus photography: central retinal arteriolar and venular equivalents (CRAE and CRVE, respectively). Multivariable linear regression evaluated associations of tubule biomarkers and kidney function with CRAE and CRVE.

Results: The mean participant age was 60 ± 10 years with 52% female. The racial/ethnic distribution was 46% White, 24% African American, 18% Hispanic, and 11% Chinese. The mean eGFR was 92.1 ± 13.3 mL/min/1.73m2, and the median urine ACR was 4.7 mg/g (IQR 3.0, 9.4). Higher plasma KIM-1 (β -5.14, 95% confidence interval [95% CI], -9.84 to -0.45), and urine KIM-1 (β -5.68, 95% CI, -10.15 to -1.22) concentrations were individually associated with narrower CRAE, while plasma suPAR concentrations were individually associated with wider CRAE (β 9.15, 95% CI, 0.89 to 17.4) and CRVE (β 21.49, 95% CI, 9.39 to 33.59). There were no significant associations between the remaining tubule health biomarkers and CRAE or CRVE, nor were there associations between eGFR or urine ACR with CRAE and CRVE.

Conclusions: In this study of community-living individuals without CKD, diabetes, or CVD, selected kidney tubule health markers are associated with retinal microvascular changes. These findings suggest that kidney tubules biomarkers may reflect or contribute to systemic microvascular dysfunction, above and beyond glomerular damage. Tubular biomarkers may help elucidate the shared microvascular mechanisms linking CKD and CVD.

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Kidney360
Kidney360 UROLOGY & NEPHROLOGY-
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