Literature DB >> 21671855

Recent advances in sepsis research: novel biomarkers and therapeutic targets.

B Ivády1, B J Béres, D Szabó.   

Abstract

Sepsis remains a common cause of death in the intensive care units worldwide. However, in the last decade a significant development could be noticed in sepsis research regarding diagnostic markers that can help the physicians to recognize the disease in the early phase, which is the clue of the successful treatment of sepsis. This development provided the identification of new molecules and structures (i.e. cytokines, cell surface markers, receptors) that are potential biomarkers of sepsis in the clinical settings. Besides, the advance in the understanding of the pathophysiologic, immunologic and biochemical pathway of sepsis has made the way for assignment of new drug targets in the therapy of sepsis. This review aims to provide a summary about these novelties regarding our knowledge about sepsis published in the medical literature recently. We will describe the presumed pathophysiological role and diagnostic value of sepsis markers that are used even more widely in the clinical practice (i.e. procalcitonin, IL-6), summarize the data regarding the sepsis marker candidates that are investigated in some initial study (i.e. matrix metalloproteinases, microRNA fingerprints), and we will discuss substances that may be specific markers for certain organ failures related to sepsis (i.e. neutrophil gelatinase-derived lipocalin in acute renal failure). Furthermore, we will review the mediators of the immuno-inflammatory cascade in sepsis concerning their potential applicability as therapeutic targets in the treatment of this often lethal disease. In addition, we present some insights into the identification of genetic markers of sepsis.

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Year:  2011        PMID: 21671855     DOI: 10.2174/092986711796391598

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  8 in total

1.  STAT1 regulates MD-2 expression in monocytes of sepsis via miR-30a.

Authors:  Yanhong Wang; Tiehua Li; Benquan Wu; Hui Liu; Jinmei Luo; Dingyun Feng; Yunfeng Shi
Journal:  Inflammation       Date:  2014-12       Impact factor: 4.092

2.  Global sensitivity analysis of a mathematical model of acute inflammation identifies nonlinear dependence of cumulative tissue damage on host interleukin-6 responses.

Authors:  Shibin Mathew; John Bartels; Ipsita Banerjee; Yoram Vodovotz
Journal:  J Theor Biol       Date:  2014-06-05       Impact factor: 2.691

3.  Removal of inflammatory ascites is associated with dynamic modification of local and systemic inflammation along with prevention of acute lung injury: in vivo and in silico studies.

Authors:  Bryanna Emr; David Sadowsky; Nabil Azhar; Louis A Gatto; Gary An; Gary F Nieman; Yoram Vodovotz
Journal:  Shock       Date:  2014-04       Impact factor: 3.454

Review 4.  Clinical application of sepsis biomarkers.

Authors:  Vinoth Sankar; Nigel R Webster
Journal:  J Anesth       Date:  2012-10-30       Impact factor: 2.078

5.  Synthesis and biological evaluation of novel indole-2-one and 7-aza-2-oxindole derivatives as anti-inflammatory agents.

Authors:  Gaozhi Chen; Lili Jiang; Lili Dong; Zhe Wang; Fengli Xu; Ting Ding; Lili Fu; Qilu Fang; Zhiguo Liu; Xiaoou Shan; Guang Liang
Journal:  Drug Des Devel Ther       Date:  2014-10-13       Impact factor: 4.162

6.  Association between elevation of plasma biomarkers and monocyte dysfunction and their combination in predicting sepsis: An observational single-centre cohort study.

Authors:  Jiabao Li; Ziren Tang; Miaorong Xie; Chenchen Hang; Yanan Yu; Chunsheng Li
Journal:  Innate Immun       Date:  2020-05-26       Impact factor: 2.680

Review 7.  The immunopathology of sepsis: pathogen recognition, systemic inflammation, the compensatory anti-inflammatory response, and regulatory T cells.

Authors:  D H Lewis; D L Chan; D Pinheiro; E Armitage-Chan; O A Garden
Journal:  J Vet Intern Med       Date:  2012-03-17       Impact factor: 3.333

8.  Genome-wide sequencing of cellular microRNAs identifies a combinatorial expression signature diagnostic of sepsis.

Authors:  Yuqian Ma; David Vilanova; Kerem Atalar; Olivier Delfour; Jonathan Edgeworth; Marlies Ostermann; Maria Hernandez-Fuentes; Sandrine Razafimahatratra; Bernard Michot; David H Persing; Ingrid Ziegler; Bianca Törös; Paula Mölling; Per Olcén; Richard Beale; Graham M Lord
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

  8 in total

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