Nusinovici Simon, Zhou Lei, Wang Xinyue, Tham Yih Chung, Wang Xiaomeng, Wong Tien Yin, Chakravarthy Usha, Cheng Ching-Yu
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore.
Ophthalmol Sci. 2024 Apr 26;4(5):100538. doi: 10.1016/j.xops.2024.100538. eCollection 2024 Sep-Oct.
Our objective was to determine the effects of lipids and complement proteins on early and intermediate age-related macular degeneration (AMD) stages using machine learning models by integrating metabolomics and proteomic data.
Nested case-control study.
The analyses were performed in a subset of the Singapore Indian Chinese Cohort (SICC) Eye Study. Among the 6753 participants, we randomly selected 155 Indian and 155 Chinese cases of AMD and matched them with 310 controls on age, sex, and ethnicity.
We measured 35 complement proteins and 56 lipids using mass spectrometry and nuclear magnetic resonance, respectively. We first selected the most contributing lipids and complement proteins to early and intermediate AMD using random forest models. Then, we estimated their effects using a multinomial model adjusted for potential confounders.
Age-related macular degeneration was classified using the Beckman classification system.
Among the 310 individuals with AMD, 166 (53.5%) had early AMD, and 144 (46.5%) had intermediate AMD. First, high-density lipoprotein (HDL) particle diameter was positively associated with both early and intermediate AMD (odds ratio [OR] = 1.69; 95% confidence interval [CI],1.11-2.55 and OR = 1.72; 95% CI, 1.11-2.66 per 1-standard deviation increase in HDL diameter). Second, complement protein 2 (C2), complement C1 inhibitor (IC1), complement protein 6 (C6), complement protein 1QC (C1QC) and complement factor H-related protein 1 (FHR1), were associated with AMD. C2 was positively associated with both early and intermediate AMD (OR = 1.58; 95% CI, 1.08-2.30 and OR = 1.56; 95% CI, 1.04-2.34). C6 was positively (OR = 1.41; 95% CI, 1.03-1.93) associated with early AMD. However, IC1 was negatively associated with early AMD (OR = 0.62; 95% CI, 0.38-0.99), whereas C1QC (OR = 0.63; 95% CI, 0.42-0.93) and FHR1 (OR = 0.73; 95% CI, 0.54-0.98) were both negatively associated with intermediate AMD.
Although both HDL diameter and C2 levels show associations with both early and intermediate AMD, dysregulations of IC1, C6, C1QC, and FHR1 are only observed at specific stages of AMD. These findings underscore the complexity of complement system dysregulation in AMD, which appears to vary depending on the disease severity.
The authors have no proprietary or commercial interest in any materials discussed in this article.
我们的目的是通过整合代谢组学和蛋白质组学数据,利用机器学习模型来确定脂质和补体蛋白对早期和中期年龄相关性黄斑变性(AMD)阶段的影响。
巢式病例对照研究。
分析在新加坡印度华人队列(SICC)眼部研究的一个子集中进行。在6753名参与者中,我们随机选择了155名印度和155名中国AMD患者,并在年龄、性别和种族方面将他们与310名对照进行匹配。
我们分别使用质谱和核磁共振测量了35种补体蛋白和56种脂质。我们首先使用随机森林模型选择对早期和中期AMD贡献最大的脂质和补体蛋白。然后,我们使用针对潜在混杂因素进行调整的多项模型估计它们的影响。
年龄相关性黄斑变性使用贝克曼分类系统进行分类。
在310名AMD患者中,166名(53.5%)患有早期AMD,144名(46.5%)患有中期AMD。首先,高密度脂蛋白(HDL)颗粒直径与早期和中期AMD均呈正相关(优势比[OR]=1.69;95%置信区间[CI],1.11 - 2.55,HDL直径每增加1个标准差,OR = 1.72;95% CI,1.11 - 2.66)。其次,补体蛋白2(C2)、补体C1抑制剂(IC1)、补体蛋白6(C6)、补体蛋白1QC(C1QC)和补体因子H相关蛋白1(FHR1)与AMD相关。C2与早期和中期AMD均呈正相关(OR = 1.58;95% CI,1.08 - 2.30,OR = 1.56;95% CI,1.04 - 2.34)。C6与早期AMD呈正相关(OR = 1.41;95% CI,1.03 - 1.93)。然而,IC1与早期AMD呈负相关(OR = 0.62;95% CI,0.38 - 0.99),而C1QC(OR = 0.63;95% CI,0.42 - 0.93)和FHR1(OR = 0.73;95% CI,0.54 - 0.98)均与中期AMD呈负相关。
虽然HDL直径和C2水平与早期和中期AMD均有关联,但IC1、C6、C1QC和FHR1的失调仅在AMD的特定阶段观察到。这些发现强调了AMD中补体系统失调的复杂性,其似乎因疾病严重程度而异。
作者对本文中讨论的任何材料均无所有权或商业利益。