Literature DB >> 23046077

Preclinical sepsis models.

Tom van der Poll1.   

Abstract

BACKGROUND: A variety of sepsis models have been used to unravel pathophysiologic processes and to examine the effects of novel therapeutic interventions. The lack of therapeutic efficacy of numerous compounds in clinical sepsis trials, despite glorious results in animal models of sepsis, has raised doubt and debate about the usefulness of such models.
METHODS: Review of the pertinent literature.
RESULTS: Many sepsis models have been described, none of which is ideal. Clinical sepsis can originate from different sources, can be accompanied by many complicating conditions, and strikes human beings with strongly variable genetic backgrounds, co-morbidities, and drug usages. To provide answers to the three main objectives of research-insight into the regulation of normal host defense mechanisms in the early stages of infection; the mechanisms underlying dysregulation of the host response; and proof of principle for the mechanism of action of novel therapeutic agents and to establish their efficacy and potential harm-diverse models are required. The future of sepsis research lies in the systematic combination of models, together with in vitro studies and carefully designed and monitored Phase I/II clinical studies.
CONCLUSION: This review discusses the nature of various animal sepsis models and the way their results should be interpreted.

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Mesh:

Year:  2012        PMID: 23046077     DOI: 10.1089/sur.2012.105

Source DB:  PubMed          Journal:  Surg Infect (Larchmt)        ISSN: 1096-2964            Impact factor:   2.150


  23 in total

Review 1.  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

2.  Bexarotene, a Selective RXRα Agonist, Reverses Hypotension Associated with Inflammation and Tissue Injury in a Rat Model of Septic Shock.

Authors:  Bahar Tunctan; Sefika P Kucukkavruk; Meryem Temiz-Resitoglu; Demet S Guden; Ayse N Sari; Seyhan Sahan-Firat
Journal:  Inflammation       Date:  2018-02       Impact factor: 4.092

Review 3.  Murine Models of Sepsis and Trauma: Can We Bridge the Gap?

Authors:  Julie A Stortz; Steven L Raymond; Juan C Mira; Lyle L Moldawer; Alicia M Mohr; Philip A Efron
Journal:  ILAR J       Date:  2017-07-01

Review 4.  Therapeutic potential and limitations of cholinergic anti-inflammatory pathway in sepsis.

Authors:  Alexandre Kanashiro; Fabiane Sônego; Raphael G Ferreira; Fernanda V S Castanheira; Caio A Leite; Vanessa F Borges; Daniele C Nascimento; David F Cólon; José Carlos Alves-Filho; Luis Ulloa; Fernando Q Cunha
Journal:  Pharmacol Res       Date:  2016-12-12       Impact factor: 7.658

Review 5.  Current Murine Models of Sepsis.

Authors:  Anthony J Lewis; Christopher W Seymour; Matthew R Rosengart
Journal:  Surg Infect (Larchmt)       Date:  2016-06-15       Impact factor: 2.150

6.  mRNA and Long Non-coding RNA Expression Profiles in Rats Reveal Inflammatory Features in Sepsis-Associated Encephalopathy.

Authors:  WenChong Sun; Ling Pei; Zuodi Liang
Journal:  Neurochem Res       Date:  2017-08-07       Impact factor: 3.996

Review 7.  Bridging translation for acute kidney injury with better preclinical modeling of human disease.

Authors:  Nataliya I Skrypnyk; Leah J Siskind; Sarah Faubel; Mark P de Caestecker
Journal:  Am J Physiol Renal Physiol       Date:  2016-03-09

8.  The Influence of Pain and Analgesia in Rodent Models of Sepsis.

Authors:  Kelsey C Carpenter; John M Hakenjos; Christopher D Fry; Jean A Nemzek
Journal:  Comp Med       Date:  2019-06-18       Impact factor: 0.982

Review 9.  Strategies to improve drug development for sepsis.

Authors:  Mitchell P Fink; H Shaw Warren
Journal:  Nat Rev Drug Discov       Date:  2014-09-05       Impact factor: 84.694

10.  Cannabinoid receptor 2 protects against acute experimental sepsis in mice.

Authors:  Huan Gui; Yang Sun; Zhu-Min Luo; Ding-Feng Su; Sheng-Ming Dai; Xia Liu
Journal:  Mediators Inflamm       Date:  2013-05-28       Impact factor: 4.711

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