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术后谵妄的靶向代谢组学分析。

Targeted metabolomics analysis of postoperative delirium.

机构信息

Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Nebraska Hall E419, P.O. Box 880511, Lincoln, NE, 68588, USA.

PhD Program of Complex Biosystems, University of Nebraska-Lincoln, Lincoln, USA.

出版信息

Sci Rep. 2021 Jan 15;11(1):1521. doi: 10.1038/s41598-020-80412-z.

Abstract

Postoperative delirium is the most common complication among older adults undergoing major surgery. The pathophysiology of delirium is poorly understood, and no blood-based, predictive markers are available. We characterized the plasma metabolome of 52 delirium cases and 52 matched controls from the Successful Aging after Elective Surgery (SAGES) cohort (N = 560) of patients ≥ 70 years old without dementia undergoing scheduled major non-cardiac surgery. We applied targeted mass spectrometry with internal standards and pooled controls using a nested matched case-control study preoperatively (PREOP) and on postoperative day 2 (POD2) to identify potential delirium risk and disease markers. Univariate analyses identified 37 PREOP and 53 POD2 metabolites associated with delirium and multivariate analyses achieved significant separation between the two groups with an 11-metabolite prediction model at PREOP (AUC = 83.80%). Systems biology analysis using the metabolites with differential concentrations rendered "valine, leucine, and isoleucine biosynthesis" at PREOP and "citrate cycle" at POD2 as the most significantly enriched pathways (false discovery rate < 0.05). Perturbations in energy metabolism and amino acid synthesis pathways may be associated with postoperative delirium and suggest potential mechanisms for delirium pathogenesis. Our results could lead to the development of a metabolomic delirium predictor.

摘要

术后谵妄是老年患者接受大手术后最常见的并发症。谵妄的病理生理学机制尚不清楚,也没有基于血液的预测标志物。我们对 52 例谵妄病例和 52 例匹配对照(共 560 例)来自成功老龄化后择期手术(SAGES)队列的患者(≥ 70 岁且无痴呆)进行了研究,这些患者接受了计划中的非心脏大手术。我们应用靶向质谱法结合内标物,使用嵌套匹配病例对照研究在术前(PREOP)和术后第 2 天(POD2)对对照组进行了分析,以确定潜在的谵妄风险和疾病标志物。单变量分析确定了 37 个 PREOP 和 53 个 POD2 代谢物与谵妄相关,多变量分析在 PREOP 时达到了两组之间的显著分离,有一个 11 代谢物预测模型(AUC = 83.80%)。使用具有差异浓度的代谢物进行系统生物学分析,发现“缬氨酸、亮氨酸和异亮氨酸生物合成”在 PREOP 时和“柠檬酸循环”在 POD2 时是最显著富集的途径(错误发现率 < 0.05)。能量代谢和氨基酸合成途径的紊乱可能与术后谵妄有关,并提示了谵妄发病机制的潜在机制。我们的结果可能导致开发代谢组学谵妄预测器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba4c/7810737/4e11c7428f81/41598_2020_80412_Fig1_HTML.jpg

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