Literature DB >> 19104223

Animal models of sepsis: why does preclinical efficacy fail to translate to the clinical setting?

Alex Dyson1, Mervyn Singer.   

Abstract

OBJECTIVE: To postulate reasons as to why the benefits seen with novel therapies in animal models of sepsis fail to translate to the clinical setting. DATA SOURCE: MEDLINE searches and relevant book chapters. DATA
SUMMARY: Thousands of preclinical trials performed over more than five decades have failed to find more than a handful of drugs and techniques that significantly improve outcomes in clinical sepsis. We review current concepts surrounding the variety of animal models used today, ranging from simple models of acute toxemia to more complex models of abdominal sepsis. Differences between animal and human populations are also examined including species, age, comorbidity, and the use of supportive therapies. Finally, we examine differences between preclinical and clinical trial design, and the potential for experimental and publication bias.
CONCLUSIONS: Animal models of sepsis are still too heterogeneous with regard to type of insult, duration, and supportive therapy to be regarded as representative of the human condition. Using standardized animal models may eliminate some of the differences between animal and human studies, allowing a greater degree of translation.

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Year:  2009        PMID: 19104223     DOI: 10.1097/CCM.0b013e3181922bd3

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  98 in total

1.  The efficacy of activated protein C in murine endotoxemia is dependent on integrin CD11b.

Authors:  Chunzhang Cao; Yamei Gao; Yang Li; Toni M Antalis; Francis J Castellino; Li Zhang
Journal:  J Clin Invest       Date:  2010-05-10       Impact factor: 14.808

2.  The dose-dependent effects of endotoxin on protein metabolism in two types of rat skeletal muscle.

Authors:  Miroslav Kovarik; Tomas Muthny; Ludek Sispera; Milan Holecek
Journal:  J Physiol Biochem       Date:  2012-02-07       Impact factor: 4.158

3.  A clinically applicable porcine model of septic and ischemia/reperfusion-induced shock and multiple organ injury.

Authors:  Brian D Kubiak; Scott P Albert; Louis A Gatto; Christopher J Vieau; Shreyas K Roy; Kathleen P Snyder; Kristopher G Maier; Gary F Nieman
Journal:  J Surg Res       Date:  2010-11-12       Impact factor: 2.192

4.  Chronic kidney disease worsens sepsis and sepsis-induced acute kidney injury by releasing High Mobility Group Box Protein-1.

Authors:  Asada Leelahavanichkul; Yuning Huang; Xuzhen Hu; Hua Zhou; Takayuki Tsuji; Richard Chen; Jeffrey B Kopp; Jürgen Schnermann; Peter S T Yuen; Robert A Star
Journal:  Kidney Int       Date:  2011-08-10       Impact factor: 10.612

Review 5.  Differential Paradigms in Animal Models of Sepsis.

Authors:  S Manoj Kumar Kingsley; B Vishnu Bhat
Journal:  Curr Infect Dis Rep       Date:  2016-09       Impact factor: 3.725

6.  Factor XI-deficient mice display reduced inflammation, coagulopathy, and bacterial growth during listeriosis.

Authors:  Deyan Luo; Frank M Szaba; Lawrence W Kummer; Lawrence L Johnson; Erik I Tucker; Andras Gruber; David Gailani; Stephen T Smiley
Journal:  Infect Immun       Date:  2011-10-17       Impact factor: 3.441

7.  Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness.

Authors:  Sarah Derde; Steven Thiessen; Chloë Goossens; Thomas Dufour; Greet Van den Berghe; Lies Langouche
Journal:  J Vis Exp       Date:  2017-05-02       Impact factor: 1.355

Review 8.  The inflammatory response in sepsis.

Authors:  Markus Bosmann; Peter A Ward
Journal:  Trends Immunol       Date:  2012-10-02       Impact factor: 16.687

Review 9.  Bench-to-Bedside: A Translational Perspective on Murine Models of Sepsis.

Authors:  Anthony J Lewis; Matthew R Rosengart
Journal:  Surg Infect (Larchmt)       Date:  2018-02-02       Impact factor: 2.150

10.  Laboratory mice born to wild mice have natural microbiota and model human immune responses.

Authors:  Jasmin Herz; Brian G Vassallo; Stephan P Rosshart; Ashli Hunter; Morgan K Wall; Jonathan H Badger; John A McCulloch; Dimitrios G Anastasakis; Aishe A Sarshad; Irina Leonardi; Nicholas Collins; Joshua A Blatter; Seong-Ji Han; Samira Tamoutounour; Svetlana Potapova; Mark B Foster St Claire; Wuxing Yuan; Shurjo K Sen; Matthew S Dreier; Benedikt Hild; Markus Hafner; David Wang; Iliyan D Iliev; Yasmine Belkaid; Giorgio Trinchieri; Barbara Rehermann
Journal:  Science       Date:  2019-08-01       Impact factor: 47.728

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