Abstract
The triggering receptor expressed on myeloid cells-1 (TREM-1) is an immunoreceptor whose role is to amplify the inflammatory response mediated by the engagement of Toll-like and NOD-like receptors. As the expression of TREM-1 is believed to be upregulated during infection, this protein has been studied as a sepsis biomarker. In the previous issue of Critical Care, Su and colleagues reported on the usefulness of urinary soluble TREM-1 in diagnosing sepsis and assessingits severity. Importantly, the authors describe, for the first time, that urinary soluble TREM-1 measurement is able to predict the development of sepsis-associated acute kidney injury (AKI). If these results were to be confirmed by larger studies, urinary soluble TREM-1 would possibly become a new biomarker for sepsis-associated AKI.
Highlights
The triggering receptor expressed on myeloid cells-1 (TREM-1) is an immunoreceptor whose role is to amplify the inflammatory response mediated by the engagement of Toll-like and NOD-like receptors
In the previous issue of Critical Care, Su and colleagues [1] reported on the usefulness of measuring urinary concentrations of the soluble form of the triggering receptor expressed on myeloid cells-1 during sepsis
The plasma level of sTREM-1 has been repeatedly associated with prognosis or severity: the current study shows that its urinary measurement may be interesting in this context
Summary
The triggering receptor expressed on myeloid cells-1 (TREM-1) is an immunoreceptor whose role is to amplify the inflammatory response mediated by the engagement of Toll-like and NOD-like receptors. In the previous issue of Critical Care, Su and colleagues [1] reported on the usefulness of measuring urinary concentrations of the soluble form of the triggering receptor expressed on myeloid cells-1 (sTREM-1) during sepsis. The authors demonstrated that the urinary sTREM-1 concentration was associated with the positive diagnosis of sepsis with an acceptable area under the receiver operating characteristic curve (0.797, 95% confidence interval 0.711 to 0.884).
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