Literature DB >> 28942199

Metabolomic findings in sepsis as a damage of host-microbial metabolism integration.

Natalia V Beloborodova1, Andrei Yu Olenin2, Alisa K Pautova3.   

Abstract

Metabolomics globally evaluates the totality of the endogenous metabolites in patient's body, at the same time reflecting gene function, enzyme activity and degree of organ dysfunction in sepsis. The authors performed the analysis of the main chemical classes of low molecular weight compounds (amino acids, polyols, fatty acids, hydroxy acids, amines, nucleotides and their derivatives) that quantitatively distinguish patients with sepsis from healthy ones. The following keywords were used to find papers published in the Scopus and Web of Science databases from 2008 to 2015: (marker OR biomarker) AND (sepsis OR critical ill OR pneumonia OR hypoxia). Key words for the search were the following: metabolomics, metabolic profiling, sepsis, metabolism, biomarkers, critically ill patients, multiple organ failure. Several metabolomic findings in sepsis are still waiting for an explanation. When assessing metabolomic analysis results in patients with sepsis we should take into account the intervention of microbial metabolism. Among the low molecular weight compounds detected in septic patient blood, a special attention should be paid to the molecules which could be attributed to "common metabolites" of man and bacteria. The genomic region overlap and the production of enzymes which are similar in function and final products could be a possible reason for this phenomenon. For example, microbial biodegradation products of aromatic compounds are increased many times in blood of patients with sepsis. On the one hand, it shows a high metabolic activity of the bacteria. On the other hand, these molecules are intermediates in the metabolism of aromatic amino acids such as tyrosine and phenylalanine in human body. It is important that there are many clinical studies, which confirmed the diagnostic and prognostic significance of series of aromatic metabolites, including those with intrinsic biological activity. We can't exclude the presence of signaling pathways, cell receptors, transmembrane transporters and others which are common for a human and bacteria and their direct participation in mechanisms of organ dysfunction and hypotension in sepsis. Thus, today, we should not limit ourselves studying eukaryotic cells while searching for new molecular mechanisms of sepsis-associated organ failure and septic shock. We should take into account and simulate in the experiments the changes of a human internal environment, which occur during the radical microbiome "restructuring" in critically ill patients. This approach opens up new prospects for an objective monitoring of diseases, carrying out an assessment of the integral metabolic profile in a given time on common metabolites (particularly aromatic), and in future will provide new targets for therapeutic effects.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aromatic metabolites; Biomarkers; Critically ill patients; Metabolic profiling; Metabolome; Metabolomics; Microbiota; Sepsis

Mesh:

Substances:

Year:  2017        PMID: 28942199     DOI: 10.1016/j.jcrc.2017.09.014

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  13 in total

1.  Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival.

Authors:  Leah B Kosyakovsky; Emily Somerset; Angela J Rogers; Michael Sklar; Jared R Mayers; Augustin Toma; Yishay Szekely; Sabri Soussi; Bo Wang; Chun-Po S Fan; Rebecca M Baron; Patrick R Lawler
Journal:  Intensive Care Med Exp       Date:  2022-06-17

Review 2.  Hypermetabolism and Nutritional Support in Sepsis.

Authors:  John C Alverdy
Journal:  Surg Infect (Larchmt)       Date:  2018-02-02       Impact factor: 2.150

3.  Altered Metabolic Profile of Triglyceride-Rich Lipoproteins in Gut-Lymph of Rodent Models of Sepsis and Gut Ischemia-Reperfusion Injury.

Authors:  Jiwon Hong; Shorena Nachkebia; Soe Min Tun; Amorita Petzer; John A Windsor; Anthony J Hickey; Anthony R Phillips
Journal:  Dig Dis Sci       Date:  2018-09-04       Impact factor: 3.199

4.  A longitudinal study highlights shared aspects of the transcriptomic response to cardiogenic and septic shock.

Authors:  Daniele Braga; Matteo Barcella; Antoine Herpain; Federico Aletti; Erik B Kistler; Bernardo Bollen Pinto; Karim Bendjelid; Cristina Barlassina
Journal:  Crit Care       Date:  2019-12-19       Impact factor: 9.097

5.  Untargeted Metabolomic Profiling of the Correlation Between Prognosis Differences and PD-1 Expression in Sepsis: A Preliminary Study.

Authors:  Y Bu; H Wang; X Ma; C Han; X Jia; J Zhang; Y Liu; Y Peng; M Yang; K Yu; C Wang
Journal:  Front Immunol       Date:  2021-04-01       Impact factor: 7.561

6.  Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis.

Authors:  Peng Zhang; Zhangxing Wang; Huixian Qiu; Wenhao Zhou; Mingbang Wang; Guoqiang Cheng
Journal:  Comput Struct Biotechnol J       Date:  2021-05-18       Impact factor: 7.271

7.  Serum and fecal profiles of aromatic microbial metabolites reflect gut microbiota disruption in critically ill patients: a prospective observational pilot study.

Authors:  Ekaterina Chernevskaya; Natalia Beloborodova; Natalia Klimenko; Alisa Pautova; Dmitrii Shilkin; Vitaliy Gusarov; Alexander Tyakht
Journal:  Crit Care       Date:  2020-06-08       Impact factor: 9.097

8.  Serum Levels of Mitochondrial and Microbial Metabolites Reflect Mitochondrial Dysfunction in Different Stages of Sepsis.

Authors:  Natalia Beloborodova; Alisa Pautova; Aleksandr Sergeev; Nadezhda Fedotcheva
Journal:  Metabolites       Date:  2019-09-20

9.  Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

Authors:  Lingling Zheng; Fangqin Lin; Changxi Zhu; Guangjian Liu; Xiaohui Wu; Zhiyuan Wu; Jianbin Zheng; Huimin Xia; Yi Cai; Huiying Liang
Journal:  Biomed Res Int       Date:  2020-07-27       Impact factor: 3.411

Review 10.  Past Experiences for Future Applications of Metabolomics in Critically Ill Patients with Sepsis and Septic Shocks.

Authors:  Konlawij Trongtrakul; Chanisa Thonusin; Chaicharn Pothirat; Siriporn C Chattipakorn; Nipon Chattipakorn
Journal:  Metabolites       Date:  2021-12-21
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