Literature DB >> 24481820

Sepsis biomarkers: an omics perspective.

Xiao Liu1, Hui Ren, Daizhi Peng.   

Abstract

Sepsis is a common cause of death in hospitalized patients worldwide. The early detection of sepsis remains a great challenge for clinicians, and delayed diagnosis frequently undermines treatment efforts, thereby contributing to high mortality. Omics technologies allow high-throughput screening of sepsis biomarkers. This review describes currently available and novel sepsis biomarkers in the context of genomics, transcriptomics, proteomics, and metabolomics. The combination of these technologies can help refine the diagnosis of sepsis. This review paper serves as a reference for future studies that employ an integrated, multi-omics approach to disease identification.

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Year:  2014        PMID: 24481820      PMCID: PMC7088921          DOI: 10.1007/s11684-014-0318-2

Source DB:  PubMed          Journal:  Front Med        ISSN: 2095-0217            Impact factor:   4.592


  71 in total

Review 1.  Epigenetic regulation of immune cell functions during post-septic immunosuppression.

Authors:  William F Carson; Karen A Cavassani; Yali Dou; Steven L Kunkel
Journal:  Epigenetics       Date:  2011-03-01       Impact factor: 4.528

2.  Mechanism of altered TNF-alpha expression by macrophage and the modulatory effect of Panax notoginseng saponins in scald mice.

Authors:  Yong Wang; Daizhi Peng; Wenhua Huang; Xin Zhou; Jin Liu; Yongfei Fang
Journal:  Burns       Date:  2006-06-30       Impact factor: 2.744

3.  Plasma proteome to look for diagnostic biomarkers of early bacterial sepsis after liver transplantation: a preliminary study.

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Journal:  Anesthesiology       Date:  2010-04       Impact factor: 7.892

4.  Circulating miR-210 predicts survival in critically ill patients with acute kidney injury.

Authors:  Johan M Lorenzen; Jan T Kielstein; Carsten Hafer; Shashi K Gupta; Philipp Kümpers; Robert Faulhaber-Walter; Hermann Haller; Danilo Fliser; Thomas Thum
Journal:  Clin J Am Soc Nephrol       Date:  2011-06-23       Impact factor: 8.237

5.  4G/5G promoter polymorphism in the plasminogen-activator-inhibitor-1 gene in children with systemic meningococcaemia.

Authors:  Gotho Geishofer; Alexander Binder; Martin Müller; Bettina Zöhrer; Bernhard Resch; Wilhelm Müller; Jörg Faber; Adam Finn; Georg Endler; Christine Mannhalter; Werner Zenz
Journal:  Eur J Pediatr       Date:  2005-04-21       Impact factor: 3.183

6.  Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer.

Authors:  Zhibin Hu; Xi Chen; Yang Zhao; Tian Tian; Guangfu Jin; Yongqian Shu; Yijiang Chen; Lin Xu; Ke Zen; Chenyu Zhang; Hongbing Shen
Journal:  J Clin Oncol       Date:  2010-03-01       Impact factor: 44.544

7.  Adoptive transfer of naïve dendritic cells in resolving post-sepsis long-term immunosuppression.

Authors:  Krzysztof Laudanski
Journal:  Med Hypotheses       Date:  2012-07-26       Impact factor: 1.538

8.  [An investigation of changes in gene expression profile of heart tissue in a rat sepsis model].

Authors:  Yong Liu; Jian-dong Lin; Xiong-jian Xiao; Bei-lei Zhang; Hui Lin
Journal:  Zhongguo Wei Zhong Bing Ji Jiu Yi Xue       Date:  2009-03

9.  Toll-like receptor 1 polymorphisms and associated outcomes in sepsis after traumatic injury: a candidate gene association study.

Authors:  Callie M Thompson; Tarah D Holden; Gail Rona; Balaji Laxmanan; R Anthony Black; Grant E OʼKeefe; Mark M Wurfel
Journal:  Ann Surg       Date:  2014-01       Impact factor: 12.969

10.  Development and validation of a novel molecular biomarker diagnostic test for the early detection of sepsis.

Authors:  Allison Sutherland; Mervyn Thomas; Roslyn A Brandon; Richard B Brandon; Jeffrey Lipman; Benjamin Tang; Anthony McLean; Ranald Pascoe; Gareth Price; Thu Nguyen; Glenn Stone; Deon Venter
Journal:  Crit Care       Date:  2011-06-20       Impact factor: 9.097

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  8 in total

Review 1.  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

2.  Persistently elevated osteopontin serum levels predict mortality in critically ill patients.

Authors:  Christoph Roderburg; Fabian Benz; David Vargas Cardenas; Matthias Lutz; Hans-Joerg Hippe; Tom Luedde; Christian Trautwein; Norbert Frey; Alexander Koch; Frank Tacke; Mark Luedde
Journal:  Crit Care       Date:  2015-06-26       Impact factor: 9.097

3.  Transcriptomic data from two primary cell models stimulating human monocytes suggest inhibition of oxidative phosphorylation and mitochondrial function by N. meningitidis which is partially up-regulated by IL-10.

Authors:  Unni Gopinathan; Reidun Øvstebø; Berit Sletbakk Brusletto; Ole Kristoffer Olstad; Peter Kierulf; Petter Brandtzaeg; Jens Petter Berg
Journal:  BMC Immunol       Date:  2017-10-27       Impact factor: 3.615

4.  Elevated serum levels of bone sialoprotein during ICU treatment predict long-term mortality in critically ill patients.

Authors:  Mark Luedde; Sanchari Roy; Hans-Joerg Hippe; David Vargas Cardenas; Martina Spehlmann; Mihael Vucur; Pia Hoening; Sven Loosen; Norbert Frey; Christian Trautwein; Tom Luedde; Alexander Koch; Frank Tacke; Christoph Roderburg
Journal:  Sci Rep       Date:  2018-06-27       Impact factor: 4.379

5.  Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography-mass spectrometry.

Authors:  Shi-Hui Lin; Jing Fan; Jing Zhu; Yi-Si Zhao; Chuan-Jiang Wang; Mu Zhang; Fang Xu
Journal:  Ann Transl Med       Date:  2020-12

Review 6.  The Relevance of Coding Gene Polymorphysms of Cytokines and Cellular Receptors in Sepsis.

Authors:  Anca Meda Georgescu; Bianca Liana Grigorescu; Ioana Raluca Chirteș; Alexander A Vitin; Raluca Ștefania Fodor
Journal:  J Crit Care Med (Targu Mures)       Date:  2017-02-18

7.  Predicting and managing sepsis in burn patients: current perspectives.

Authors:  Omar Nunez Lopez; Janos Cambiaso-Daniel; Ludwik K Branski; William B Norbury; David N Herndon
Journal:  Ther Clin Risk Manag       Date:  2017-08-29       Impact factor: 2.423

8.  Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.

Authors:  Jing Wang; Yizhu Sun; Shengnan Teng; Kefeng Li
Journal:  BMC Med       Date:  2020-04-15       Impact factor: 8.775

  8 in total

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