Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Center for Clinical Medical Humanities, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
FASEB J. 2023 Jul;37(7):e22998. doi: 10.1096/fj.202201584RR.
Dementia is a well-known syndrome and Alzheimer's disease (AD) is the main cause of dementia. Lipids play a key role in the pathogenesis of AD, however, the prediction value of serum lipidomics on AD remains unclear. This study aims to construct a lipid score system to predict the risk of progression from mild cognitive impairment (MCI) to AD. First, we used the least absolute shrinkage and selection operator (LASSO) Cox regression model to select the lipids that can signify the progression from MCI to AD based on 310 older adults with MCI. Then we constructed a lipid score based on 14 single lipids using Cox regression and estimated the association between the lipid score and progression from MCI to AD. The prevalence of AD in the low-, intermediate- and high-score groups was 42.3%, 59.8%, and 79.8%, respectively. The participants in the intermediate- and high-score group had a 1.65-fold (95% CI 1.10 to 2.47) and 3.55-fold (95% CI 2.40 to 5.26) higher risk of AD, respectively, as compared to those with low lipid scores. The lipid score showed moderate prediction efficacy (c-statistics > 0.72). These results suggested that the score system based on serum lipidomics is useful for the prediction of progression from MCI to AD.
痴呆是一种众所周知的综合征，阿尔茨海默病（AD）是痴呆的主要病因。脂质在 AD 的发病机制中起着关键作用，然而，血清脂质组学对 AD 的预测价值尚不清楚。本研究旨在构建一个脂质评分系统，以预测从轻度认知障碍（MCI）到 AD 的进展风险。首先，我们使用最小绝对收缩和选择算子（LASSO）Cox 回归模型，基于 310 名 MCI 老年人，选择能够表明从 MCI 进展为 AD 的脂质。然后，我们使用 Cox 回归基于 14 种单脂质构建了一个脂质评分，并估计了脂质评分与从 MCI 进展为 AD 之间的关联。低、中、高分组中 AD 的患病率分别为 42.3%、59.8%和 79.8%。与低脂质评分者相比，中高分组的 AD 风险分别增加了 1.65 倍（95%CI 1.10 至 2.47）和 3.55 倍（95%CI 2.40 至 5.26）。脂质评分显示出中等的预测效能（c 统计值>0.72）。这些结果表明，基于血清脂质组学的评分系统可用于预测从 MCI 到 AD 的进展。
