Systemic inflammatory response index as a novel biomarker for age-related macular degeneration: a cross-sectional study from NHANES (2005-2008).

IF 4 2区 农林科学 Q2 NUTRITION & DIETETICS Frontiers in Nutrition Pub Date : 2025-03-06 eCollection Date: 2025-01-01 DOI:10.3389/fnut.2025.1540933
Ruoshuang Jia, Yiqing Yin, Huimin Shan
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Abstract

Background: Chronic low-grade systemic inflammation plays a significant role in age-related macular degeneration (AMD) pathogenesis. The systemic inflammatory response index (SIRI), a novel inflammatory marker, may predict various diseases. However, data on the relationship between SIRI and AMD are limited. This study examines the relationship between SIRI and AMD and assesses its potential as a predictive biomarker.

Methods: A cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2008 was conducted on participants aged ≥40 years with SIRI and AMD status data. Multivariable logistic regression models adjusted for confounders were used to assess the association. Sensitivity and subgroup analyses, along with restricted cubic spline (RCS) curve analysis, were performed.

Results: Among 5,365 participants, 425 (7.9%) had AMD. The median SIRI was higher in AMD patients (1.23 vs. 1.04, p < 0.001). Higher SIRI was independently associated with increased odds (adjusted OR: 1.18, 95% CI:1.07-1.29, p = 0.001). RCS analyses revealed a dose-response relationship (p = 0.002). Subgroup analyses showed a positive association in male participants, individuals with hypertension, individuals with obesity, and non-smokers. Higher SIRI levels were independently associated with increased AMD risk (adjusted OR: 1.27, 95% CI: 1.03-1.56, p = 0.023).

Conclusion: Elevated SIRI is independently associated with increased AMD risk in the U.S. population. SIRI may serve as a biomarker for identifying high-risk individuals, enabling early intervention. The cross-sectional design limits causal inference, and unmeasured confounders may affect the results. SIRI could potentially serve as a non-invasive biomarker for AMD risk, pending further validation through longitudinal studies.

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系统性炎症反应指数作为年龄相关性黄斑变性的一种新的生物标志物:来自NHANES的横断面研究(2005-2008)。
背景:慢性低度全身性炎症在年龄相关性黄斑变性(AMD)发病机制中起重要作用。系统性炎症反应指数(SIRI)是一种新的炎症指标,可以预测多种疾病。然而,关于SIRI和AMD之间关系的数据有限。本研究探讨了SIRI和AMD之间的关系,并评估了其作为预测性生物标志物的潜力。方法:对2005 - 2008年全国健康与营养调查(NHANES)数据进行横断面分析,参与者年龄≥40 岁,有SIRI和AMD状态数据。采用校正混杂因素的多变量logistic回归模型来评估相关性。进行敏感性和亚组分析,以及限制性三次样条(RCS)曲线分析。结果:在5365名参与者中,425名(7.9%)患有AMD。AMD患者的中位SIRI更高(1.23 vs 1.04, p p = 0.001)。RCS分析显示剂量-反应关系(p = 0.002)。亚组分析显示,男性参与者、高血压患者、肥胖患者和非吸烟者之间存在正相关。较高的SIRI水平与AMD风险增加独立相关(调整后OR: 1.27, 95% CI: 1.03-1.56, p = 0.023)。结论:在美国人群中,SIRI升高与AMD风险增加独立相关。SIRI可以作为识别高风险个体的生物标志物,实现早期干预。横断面设计限制了因果推理,未测量的混杂因素可能影响结果。SIRI有可能作为AMD风险的非侵入性生物标志物,有待通过纵向研究进一步验证。
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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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