Shock : molecular, cellular, and systemic pathobiological aspects and therapeutic approaches : the official journal the Shock Society, the European Shock Society, the Brazilian Shock Society, the International Federation of Shock Societies
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To effectively improve outcomes of septic patients, we first need to elucidate the multifaceted pathogenesis of sepsis syndromes and related inflammatory conditions. In fulfillment of such needs, in February 2016, new definitions for sepsis and septic shock were published under the acronym Sepsis-3. Although aimed at the clinical area, Sepsis-3 will have an inevitable influence upon the field of translational research as well. ⋯ This could be achieved, for example, by generating consensus guidelines that would support scientists in their study design and optimal sepsis modeling decision-making. An implementation of such hypothetical "Minimum Quality Threshold in Preclinical Sepsis Studies" guidelines across different species has a strong potential for making sepsis studies more reliable and transpolatable. We strongly believe that an internationally coordinated standardization effort in sepsis modeling will certainly serve the above purposes well.
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IFN regulatory factor (IRF)3 plays a detrimental role in the cecal ligation and puncture (CLP) mouse model of sepsis. However, it is unclear which pathway activates IRF3 in this context. In this report, we investigate two pathways that activate IRF3: the Stimulator of Interferon Genes (STING) pathway (that senses cytosolic DNA) and the TIR-domain-containing adapter-inducing interferon-β (TRIF) pathway (that senses dsRNA and LPS via Toll-like receptor 3 and 4). ⋯ Together, our data demonstrate that both the STING and TRIF pathways can promote sepsis pathogenesis; however, their contribution depends on the severity of the disease model. We show that bacteria are abundant in the peritoneum following both severe and moderate CLP, while cell-free DNA is more highly elevated in the serum following severe CLP compared with sham and moderate CLP. Hence, the presence of bacteria and cell-free DNA may explain the variable phenotypes in our severe CLP model (dependent on TRIF and STING) versus our moderate CLP model (dependent on TRIF only).