胰岛素抵抗和阿尔茨海默病风险的代谢特征。

Laia Gutierrez-Tordera, Laura Panisello, Pablo García-Gonzalez, Agustín Ruiz, José Luis Cantero, Melina Rojas-Criollo, Muhammad Mursil, Mercedes Atienza, Nil Novau-Ferré, Javier Mateu-Fabregat, Hamza Mostafa, Domènec Puig, Jaume Folch, Hatem Rashwan, Marta Marquié, Mercè Boada, Christopher Papandreou, Mònica Bulló
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引用次数: 0

摘要

背景:大量证据表明,外周胰岛素抵抗(IR)与阿尔茨海默病(AD)-痴呆的发展之间存在关系。然而,解释这些关联的机制只有部分被理解。我们的目的是找出与轻度认知障碍(MCI)发展为阿兹海默症痴呆症相关的胰岛素抵抗代谢特征:这是一项病例对照研究,研究对象是 ACE 队列中的 400 名 MCI 受试者,其中包括 ATN+ 和 ATN-受试者,他们均未患有 2 型糖尿病。中位随访2.1年后,142名受试者转为AD-痴呆。IR采用HOMA-IR进行评估。有针对性的多平台方法分析了 600 多种血浆代谢物。采用弹性网惩罚线性回归和10倍交叉验证,筛选出与HOMA-IR相关的代谢物。使用支持向量机和性能指标评估了特征的预测能力。利用多变量 Cox 回归模型评估了代谢特征与 AD 痴呆症风险的相关性。通过基于反事实的中介分析,我们研究了代谢特征在HOMA-IR和AD-痴呆之间的中介作用。使用 MetaboAnalyst 确定了代谢物参与的代谢途径:结果:代谢特征包括 18 种与 HOMA-IR 相关的代谢物。经混杂因素调整后,该特征与 AD 痴呆症风险增加有关(HR 1.234;95%CI 1.019-1.494;p结论:我们发现了基于血液的代谢特征:我们发现了一种反映IR的血液代谢特征,它可能会加深我们对IR影响AD-痴呆症的生物学机制的理解。
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Metabolic signature of insulin resistance and risk of Alzheimer's disease.

Background: Substantial evidence supports the relationship between peripheral insulin resistance (IR) and the development of Alzheimer's disease (AD)-dementia. However, the mechanisms explaining these associations are only partly understood. We aimed to identify a metabolic signature of IR associated with the progression from mild cognitive impairment (MCI) to AD-dementia.

Methods: This is a case-control study on 400 MCI subjects, free of type 2 diabetes, within the ACE cohort, including individuals ATN+ and ATN-. After a median of 2.1 years follow-up, 142 subjects converted to AD-dementia. IR was assessed using the HOMA-IR. A targeted multi-platform approach profiled over 600 plasma metabolites. Elastic net penalized linear regression with 10-fold cross-validation was employed to select those metabolites associated with HOMA-IR. The prediction ability of the signature was assessed using support vector machine and performance metrics. The metabolic signature was associated with AD-dementia risk using a multivariable Cox regression model. Using counterfactual-based mediation analysis we investigated the mediation role of the metabolic signature between HOMA-IR and AD-dementia. The metabolic pathways in which the metabolites were involved were identified using MetaboAnalyst.

Results: The metabolic signature comprised 18 metabolites correlated with HOMA-IR. After adjustments by confounders, the signature was associated with increased AD-dementia risk (HR 1.234; 95%CI 1.019-1.494; p<0.05). The metabolic signature mediated 35% of the total effect of HOMA-IR on AD-dementia risk. Significant metabolic pathways were related to glycerophospholipid and tyrosine metabolism.

Conclusions: We have identified a blood-based metabolic signature that reflects IR and may enhance our understanding of the biological mechanisms through which IR affects AD-dementia.

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