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Metabolic signature of insulin resistance and risk of Alzheimer’s disease
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences ( IF 4.3 ) Pub Date : 2024-11-21 , DOI: 10.1093/gerona/glae283 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
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences ( IF 4.3 ) Pub Date : 2024-11-21 , DOI: 10.1093/gerona/glae283 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
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.
中文翻译:
胰岛素抵抗的代谢特征和阿尔茨海默病的风险
背景 大量证据支持外周胰岛素抵抗 (IR) 与阿尔茨海默病 (AD) 痴呆发展之间的关系。然而,解释这些关联的机制仅部分了解。我们旨在确定与从轻度认知障碍 (MCI) 进展为 AD 痴呆相关的 IR 代谢特征。方法 这是一项对 ACE 队列中 400 名无 2 型糖尿病的 MCI 受试者的病例对照研究,包括个体 ATN+ 和 ATN-。经过中位 2.1 年的随访,142 名受试者转化为 AD 痴呆。使用 HOMA-IR 评估 IR。靶向多平台方法分析了 600 多种血浆代谢物。采用具有 10 倍交叉验证的弹性网惩罚线性回归来选择与 HOMA-IR 相关的代谢物。使用支持向量机和性能指标评估签名的预测能力。使用多变量 Cox 回归模型,代谢特征与 AD 痴呆风险相关。使用基于反事实的中介分析,我们研究了 HOMA-IR 和 AD 痴呆之间代谢特征的中介作用。使用 MetaboAnalyst 确定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。经过混杂因素调整后,特征与 AD 痴呆风险增加相关 (HR 1.234;95%CI 1.019-1.494;p<0.05)。代谢特征介导了 HOMA-IR 对 AD 痴呆风险总影响的 35%。重要的代谢途径与甘油磷脂和酪氨酸代谢有关。 结论 我们已经确定了一种反映 IR 的基于血液的代谢特征,并可能增强我们对 IR 影响 AD 痴呆的生物学机制的理解。
更新日期:2024-11-21
中文翻译:
胰岛素抵抗的代谢特征和阿尔茨海默病的风险
背景 大量证据支持外周胰岛素抵抗 (IR) 与阿尔茨海默病 (AD) 痴呆发展之间的关系。然而,解释这些关联的机制仅部分了解。我们旨在确定与从轻度认知障碍 (MCI) 进展为 AD 痴呆相关的 IR 代谢特征。方法 这是一项对 ACE 队列中 400 名无 2 型糖尿病的 MCI 受试者的病例对照研究,包括个体 ATN+ 和 ATN-。经过中位 2.1 年的随访,142 名受试者转化为 AD 痴呆。使用 HOMA-IR 评估 IR。靶向多平台方法分析了 600 多种血浆代谢物。采用具有 10 倍交叉验证的弹性网惩罚线性回归来选择与 HOMA-IR 相关的代谢物。使用支持向量机和性能指标评估签名的预测能力。使用多变量 Cox 回归模型,代谢特征与 AD 痴呆风险相关。使用基于反事实的中介分析,我们研究了 HOMA-IR 和 AD 痴呆之间代谢特征的中介作用。使用 MetaboAnalyst 确定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。经过混杂因素调整后,特征与 AD 痴呆风险增加相关 (HR 1.234;95%CI 1.019-1.494;p<0.05)。代谢特征介导了 HOMA-IR 对 AD 痴呆风险总影响的 35%。重要的代谢途径与甘油磷脂和酪氨酸代谢有关。 结论 我们已经确定了一种反映 IR 的基于血液的代谢特征,并可能增强我们对 IR 影响 AD 痴呆的生物学机制的理解。