Metabolomics Pilot Study Identifies Desynchronization of 24-H Rhythms and Distinct Intra-patient Variability Patterns in Critical Illness: A Preliminary Report.
Metabolomics Pilot Study Identifies Desynchronization of 24-H Rhythms and Distinct Intra-patient Variability Patterns in Critical Illness: A Preliminary Report.
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代谢组学试点研究确定了危重疾病中 24 小时节律的不同步和独特的患者内部变异模式:初步报告。
DOI:
10.3389/fneur.2020.533915
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发表时间:
2020
影响因子:
3.4
通讯作者:
Cornelissen-Guillaume G
中科院分区:
文献类型:
--
作者:
Lusczek ER;Parsons LS;Elder J;Harvey SB;Skube M;Muratore S;Beilman G;Cornelissen-Guillaume G
Background: Synchronized circadian rhythms play a key role in coordinating physiologic health. Desynchronized circadian rhythms may predispose individuals to disease or be indicative of underlying disease. Intensive care unit (ICU) patients likely experience desynchronized circadian rhythms due to disruptive environmental conditions in the ICU and underlying pathophysiology. This observational pilot study was undertaken to determine if 24-h rhythms are altered in ICU patients relative to healthy controls by profiling 24-h rhythms in vital signs and plasma metabolites. Methods: We monitored daily rhythms in 5 healthy controls and 5 ICU patients for 24 h. Heart rate and blood pressure were measured every 30 min, temperature was measured every hour, and blood was sampled for mass spectrometry-based plasma metabolomics every 4 h. Bedside sound levels were measured every minute. Twenty-four hours rhythms were evaluated in vitals and putatively identified plasma metabolites individually and in each group using the cosinor method. Results: ICU patient rooms were significantly louder than healthy controls' rooms and average noise levels were above EPA recommendations. Healthy controls generally had significant 24-h rhythms individually and as a group. While a few ICU patients had significant 24-h rhythms in isolated variables, no significant rhythms were identified in ICU patients as a group, except in cortisol. This indicates a lack of coherence in phases and amplitudes among ICU patients. Finally, principal component analysis of metabolic profiles showed surprising patterns in plasma sample clustering. Each ICU patient's samples were clearly discernable in individual clusters, separate from a single cluster of healthy controls. Conclusions: In this pilot study, ICU patients' 24-h rhythms show significant desynchronization compared to healthy controls. Clustering of plasma metabolic profiles suggests that metabolomics could be used to track individual patients' clinical courses longitudinally. Our results show global disordering of metabolism and the circadian system in ICU patients which should be characterized further in order to determine implications for patient care.
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DOI:
10.1056/nejmoa1214969
发表时间:
2013-04-18
期刊:
The New England journal of medicine
影响因子:
--
作者:
Boonen E;Vervenne H;Meersseman P;Andrew R;Mortier L;Declercq PE;Vanwijngaerden YM;Spriet I;Wouters PJ;Vander Perre S;Langouche L;Vanhorebeek I;Walker BR;Van den Berghe G
通讯作者:
Van den Berghe G
DOI:
10.1073/pnas.1118726109
发表时间:
2012-04-03
影响因子:
11.1
作者:
Eckel-Mahan, Kristin L.;Patel, Vishal R.;Sassone-Corsi, Paolo
通讯作者:
Sassone-Corsi, Paolo
影响因子:
3.7
作者:
Fan, Emily P.;Abbott, Sabra M.;Maas, Matthew B.
通讯作者:
Maas, Matthew B.
影响因子:
5.3
作者:
Danielson, Samantha J.;Rappaport, Charles A.;Gehlbach, Brian K.
通讯作者:
Gehlbach, Brian K.
影响因子:
8.8
作者:
Balas MC;Vasilevskis EE;Olsen KM;Schmid KK;Shostrom V;Cohen MZ;Peitz G;Gannon DE;Sisson J;Sullivan J;Stothert JC;Lazure J;Nuss SL;Jawa RS;Freihaut F;Ely EW;Burke WJ
通讯作者:
Burke WJ