Targeted metabolomics analysis of postoperative delirium

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...

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Autores principales:	Bridget A. Tripp, Simon T. Dillon, Min Yuan, John M. Asara, Sarinnapha M. Vasunilashorn, Tamara G. Fong, Eran D. Metzger, Sharon K. Inouye, Zhongcong Xie, Long H. Ngo, Edward R. Marcantonio, Towia A. Libermann, Hasan H. Otu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/211d02c8977c44098e54809aa3d389c8
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spelling	oai:doaj.org-article:211d02c8977c44098e54809aa3d389c82021-12-02T15:23:06ZTargeted metabolomics analysis of postoperative delirium10.1038/s41598-020-80412-z2045-2322https://doaj.org/article/211d02c8977c44098e54809aa3d389c82021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80412-zhttps://doaj.org/toc/2045-2322Abstract 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.Bridget A. TrippSimon T. DillonMin YuanJohn M. AsaraSarinnapha M. VasunilashornTamara G. FongEran D. MetzgerSharon K. InouyeZhongcong XieLong H. NgoEdward R. MarcantonioTowia A. LibermannHasan H. OtuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bridget A. Tripp Simon T. Dillon Min Yuan John M. Asara Sarinnapha M. Vasunilashorn Tamara G. Fong Eran D. Metzger Sharon K. Inouye Zhongcong Xie Long H. Ngo Edward R. Marcantonio Towia A. Libermann Hasan H. Otu Targeted metabolomics analysis of postoperative delirium
description	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.
format	article
author	Bridget A. Tripp Simon T. Dillon Min Yuan John M. Asara Sarinnapha M. Vasunilashorn Tamara G. Fong Eran D. Metzger Sharon K. Inouye Zhongcong Xie Long H. Ngo Edward R. Marcantonio Towia A. Libermann Hasan H. Otu
author_facet	Bridget A. Tripp Simon T. Dillon Min Yuan John M. Asara Sarinnapha M. Vasunilashorn Tamara G. Fong Eran D. Metzger Sharon K. Inouye Zhongcong Xie Long H. Ngo Edward R. Marcantonio Towia A. Libermann Hasan H. Otu
author_sort	Bridget A. Tripp
title	Targeted metabolomics analysis of postoperative delirium
title_short	Targeted metabolomics analysis of postoperative delirium
title_full	Targeted metabolomics analysis of postoperative delirium
title_fullStr	Targeted metabolomics analysis of postoperative delirium
title_full_unstemmed	Targeted metabolomics analysis of postoperative delirium
title_sort	targeted metabolomics analysis of postoperative delirium
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/211d02c8977c44098e54809aa3d389c8
work_keys_str_mv	AT bridgetatripp targetedmetabolomicsanalysisofpostoperativedelirium AT simontdillon targetedmetabolomicsanalysisofpostoperativedelirium AT minyuan targetedmetabolomicsanalysisofpostoperativedelirium AT johnmasara targetedmetabolomicsanalysisofpostoperativedelirium AT sarinnaphamvasunilashorn targetedmetabolomicsanalysisofpostoperativedelirium AT tamaragfong targetedmetabolomicsanalysisofpostoperativedelirium AT erandmetzger targetedmetabolomicsanalysisofpostoperativedelirium AT sharonkinouye targetedmetabolomicsanalysisofpostoperativedelirium AT zhongcongxie targetedmetabolomicsanalysisofpostoperativedelirium AT longhngo targetedmetabolomicsanalysisofpostoperativedelirium AT edwardrmarcantonio targetedmetabolomicsanalysisofpostoperativedelirium AT towiaalibermann targetedmetabolomicsanalysisofpostoperativedelirium AT hasanhotu targetedmetabolomicsanalysisofpostoperativedelirium
_version_	1718387312492019712

Targeted metabolomics analysis of postoperative delirium

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