Literature DB >> 28632924

Metabolomics as a Driver in Advancing Precision Medicine in Sepsis.

Michelle Eckerle1, Lilliam Ambroggio2,3, Michael A Puskarich4, Brent Winston5, Alan E Jones4, Theodore J Standiford6,7, Kathleen A Stringer6,7,8.   

Abstract

The objective of this review is to explain the science of metabolomics-a science of systems biology that measures and studies endogenous small molecules (metabolites) that are present in a single biological sample-and its application to the diagnosis and treatment of sepsis. In addition, we discuss how discovery through metabolomics can contribute to the development of precision medicine targets for this complex disease state and the potential avenues for those new discoveries to be applied in the clinical environment. A nonsystematic literature review was performed focusing on metabolomics, pharmacometabolomics, and sepsis. Human (adult and pediatric) and animal studies were included. Metabolomics has been investigated in the diagnosis, prognosis, and risk stratification of sepsis, as well as for the identification of drug target opportunities. Metabolomics elucidates a new level of detail when compared with other systems biology sciences, with regard to the metabolites that are most relevant in the pathophysiology of sepsis, as well as highlighting specific biochemical pathways at work in sepsis. Metabolomics also highlights biochemical differences between sepsis survivors and nonsurvivors at a level of detail greater than that demonstrated by genomics, transcriptomics, or proteomics, potentially leading to actionable targets for new therapies. The application of pharmacometabolomics and its integration with other systems pharmacology to sepsis therapeutics could be particularly helpful in differentiating drug responders and nonresponders and furthering knowledge of mechanisms of drug action and response. The accumulated literature on metabolomics suggests it is a viable tool for continued discovery around the pathophysiology, diagnosis and prognosis, and treatment of sepsis in both adults and children, and it provides a greater level of biochemical detail and insight than other systems biology approaches. However, the clinical application of metabolomics in sepsis has not yet been fully realized. Prospective validation studies are needed to translate metabolites from the discovery phase into the clinical utility phase.
© 2017 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  critical care; pediatrics; pharmacometabolomics; pharmacotherapy; systems biology; systems pharmacology

Mesh:

Year:  2017        PMID: 28632924      PMCID: PMC5600684          DOI: 10.1002/phar.1974

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  57 in total

Review 1.  Pharmacometabolomics: implications for clinical pharmacology and systems pharmacology.

Authors:  R Kaddurah-Daouk; R M Weinshilboum
Journal:  Clin Pharmacol Ther       Date:  2013-11-05       Impact factor: 6.875

2.  Metabolomic approach for the identification of therapeutic targets of erythropoietin against sepsis in rat models.

Authors:  X Shi; F Yang; Y-N Zheng; H Zhang; X-X Wang; G-J Shao; X-L Lai
Journal:  Eur Rev Med Pharmacol Sci       Date:  2016       Impact factor: 3.507

Review 3.  The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Authors:  Natalie J Serkova; Theodore J Standiford; Kathleen A Stringer
Journal:  Am J Respir Crit Care Med       Date:  2011-06-16       Impact factor: 21.405

Review 4.  Could Biomarkers Direct Therapy for the Septic Patient?

Authors:  Clark R Sims; Trung C Nguyen; Philip R Mayeux
Journal:  J Pharmacol Exp Ther       Date:  2016-02-08       Impact factor: 4.030

5.  Functional outcomes in pediatric severe sepsis: further analysis of the researching severe sepsis and organ dysfunction in children: a global perspective trial.

Authors:  Reid W D Farris; Noel S Weiss; Jerry J Zimmerman
Journal:  Pediatr Crit Care Med       Date:  2013-11       Impact factor: 3.624

6.  HMDB: the Human Metabolome Database.

Authors:  David S Wishart; Dan Tzur; Craig Knox; Roman Eisner; An Chi Guo; Nelson Young; Dean Cheng; Kevin Jewell; David Arndt; Summit Sawhney; Chris Fung; Lisa Nikolai; Mike Lewis; Marie-Aude Coutouly; Ian Forsythe; Peter Tang; Savita Shrivastava; Kevin Jeroncic; Paul Stothard; Godwin Amegbey; David Block; David D Hau; James Wagner; Jessica Miniaci; Melisa Clements; Mulu Gebremedhin; Natalie Guo; Ying Zhang; Gavin E Duggan; Glen D Macinnis; Alim M Weljie; Reza Dowlatabadi; Fiona Bamforth; Derrick Clive; Russ Greiner; Liang Li; Tom Marrie; Brian D Sykes; Hans J Vogel; Lori Querengesser
Journal:  Nucleic Acids Res       Date:  2007-01       Impact factor: 16.971

7.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

Review 8.  Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review.

Authors:  Abdul-Hamid Emwas; Claudio Luchinat; Paola Turano; Leonardo Tenori; Raja Roy; Reza M Salek; Danielle Ryan; Jasmeen S Merzaban; Rima Kaddurah-Daouk; Ana Carolina Zeri; G A Nagana Gowda; Daniel Raftery; Yulan Wang; Lorraine Brennan; David S Wishart
Journal:  Metabolomics       Date:  2014-11-21       Impact factor: 4.290

9.  Metabolomics: an emerging but powerful tool for precision medicine.

Authors:  Clary B Clish
Journal:  Cold Spring Harb Mol Case Stud       Date:  2015-10

10.  Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach.

Authors:  Manuela Ferrario; Alice Cambiaghi; Laura Brunelli; Silvia Giordano; Pietro Caironi; Luca Guatteri; Ferdinando Raimondi; Luciano Gattinoni; Roberto Latini; Serge Masson; Giuseppe Ristagno; Roberta Pastorelli
Journal:  Sci Rep       Date:  2016-02-05       Impact factor: 4.379

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  17 in total

1.  Metabolomics technology and bioinformatics for precision medicine.

Authors:  Rajeev K Azad; Vladimir Shulaev
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

2.  Microbiome Medicine: This Changes Everything.

Authors:  John C Alverdy
Journal:  J Am Coll Surg       Date:  2018-03-02       Impact factor: 6.113

Review 3.  Precision medicine in pediatric sepsis.

Authors:  Mihir R Atreya; Hector R Wong
Journal:  Curr Opin Pediatr       Date:  2019-06       Impact factor: 2.856

Review 4.  Knowledge gaps in late-onset neonatal sepsis in preterm neonates: a roadmap for future research.

Authors:  Swantje Voller; H Rob Taal; Serife Kurul; Kinga Fiebig; Robert B Flint; Irwin K M Reiss; Helmut Küster; Sinno H P Simons
Journal:  Pediatr Res       Date:  2021-09-08       Impact factor: 3.756

5.  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 6.  Hypermetabolism and Nutritional Support in Sepsis.

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

7.  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

8.  Changes of Lipopolysaccharide-Induced Acute Kidney and Liver Injuries in Rats Based on Metabolomics Analysis.

Authors:  Huan Gao; Tao Yang; Xuan Chen; Yanqing Song
Journal:  J Inflamm Res       Date:  2021-05-06

Review 9.  Acute lung injury - from pathophysiology to treatment.

Authors:  D Mokrá
Journal:  Physiol Res       Date:  2020-12-31       Impact factor: 1.881

10.  A Multivariate Metabolomics Method for Estimating Platelet Mitochondrial Oxygen Consumption Rates in Patients with Sepsis.

Authors:  Marc R McCann; Cora E McHugh; Maggie Kirby; Theodore S Jennaro; Alan E Jones; Kathleen A Stringer; Michael A Puskarich
Journal:  Metabolites       Date:  2020-04-02
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