Cui Xuehao, Wen Dejia, Xiao Jishan, Li Xiaorong
John Van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Cambridge Eye Unit, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, UK.
Diabetes Metab J. 2025 Mar 31. doi: 10.4093/dmj.2024.0731.
Diabetic retinopathy (DR) is a major cause of vision loss, linked to hyperglycemia, oxidative stress, and inflammation. Despite advancements in DR treatments, approximately 40% of patients do not respond effectively, underscoring the need for novel, noninvasive biomarkers to predict DR risk and progression. This study investigates causal relationships between specific biomarkers, dietary factors, and DR development using Mendelian randomization (MR) and cross-sectional data.
We conducted a two-phase analysis combining MR and cross-sectional methods. First, MR analysis examined causal associations between 35 biomarkers, 226 dietary factors, and DR progression using data from the UK Biobank and Genome-Wide Association Study (GWAS) datasets. Second, a cross-sectional study with National Health and Nutrition Examination Survey (NHANES) and a clinical cohort from Tianjin Medical University Eye Hospital validated findings and explored biomarkers' predictive capabilities through a nomogram-based prediction model.
MR analysis identified eight biomarkers (e.g., glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C]) with significant causal links to DR. Inflammatory markers and metabolic factors, such as high glucose and HDL-C levels, were strongly associated with DR risk and progression. Specific dietary factors, like cheese intake, exhibited protective roles, while alcohol intake increased DR risk. Validation within NHANES and Tianjin cohorts supported these causal associations.
This study elucidates causal relationships between biomarkers, dietary habits, and DR progression, emphasizing the potential for personalized dietary interventions to prevent or manage DR. Findings support the use of HDL-C, HbA1c, and dietary factors as biomarkers or therapeutics in DR, though further studies are needed for broader applicability.
糖尿病视网膜病变(DR)是视力丧失的主要原因,与高血糖、氧化应激和炎症有关。尽管DR治疗取得了进展,但约40%的患者反应不佳,这凸显了需要新的非侵入性生物标志物来预测DR风险和进展。本研究使用孟德尔随机化(MR)和横断面数据调查特定生物标志物、饮食因素与DR发生之间的因果关系。
我们进行了一个结合MR和横断面方法的两阶段分析。首先,MR分析使用来自英国生物银行和全基因组关联研究(GWAS)数据集的数据,研究35种生物标志物、226种饮食因素与DR进展之间的因果关联。其次,一项基于美国国家健康和营养检查调查(NHANES)以及天津医科大学眼科医院临床队列的横断面研究验证了研究结果,并通过基于列线图的预测模型探索了生物标志物的预测能力。
MR分析确定了八种与DR有显著因果关系的生物标志物(如糖化血红蛋白[HbA1c]、高密度脂蛋白胆固醇[HDL-C])。炎症标志物和代谢因素,如高血糖和HDL-C水平,与DR风险和进展密切相关。特定的饮食因素,如奶酪摄入量,具有保护作用,而饮酒会增加DR风险。在NHANES和天津队列中的验证支持了这些因果关联。
本研究阐明了生物标志物、饮食习惯与DR进展之间的因果关系,强调了个性化饮食干预预防或管理DR的潜力。研究结果支持将HDL-C、HbA1c和饮食因素用作DR的生物标志物或治疗方法,不过需要进一步研究以扩大其适用性。