Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome

Abstract

Systemic inflammatory response syndrome (SIRS) and sepsis are two conditions which are difficult to differentiate clinically and which are strongly impacted for prompt intervention. This study identified potential lipid signatures that are able to differentiate SIRS from sepsis and to predict prognosis. Forty-two patients, including 21 patients with sepsis and 21 patients with SIRS, were involved in the study. Liquid chromatography coupled to mass spectrometry and multivariate statistical methods were used to determine lipids present in patient plasma. The obtained lipid signatures revealed 355 features for the negative ion mode and 297 for the positive ion mode, which were relevant for differential diagnosis of sepsis and SIRS. These lipids were also tested as prognosis predictors. Lastly, L-octanoylcarnitine was found to be the most promising lipid signature for both the diagnosis and prognosis of critically ill patients, with accuracies of 75% for both purposes. In short, we presented the determination of lipid signatures as a potential tool for differential diagnosis of sepsis and SIRS and prognosis of these patients.

Serum Predose Metabolic Profiling for Prediction of Rosuvastatin Pharmacokinetic Parameters in Healthy Volunteers

“…From these models, we were able to prepare a list ( Table 3 ) of 16 compounds most relevant for the prediction of the pharmacokinetic values and for which it was possible to suggest at least one chemical identity. Identification suggestions were made automatically by the Progenesis QI software based on parameters such as the following: mass error, that is, the difference, in parts per million (ppm), between the measured molecular mass and the theoretical mass for the proposed molecular formula; isotopic similarity between the experimental and theoretical spectra; and the match between fragments of theoretical compared to experimental masses ( Mecatti et al, 2020 ). The table also includes the codes (identifiers) that link the suggested identities to public databases of metabolites and the coefficients of these features in the prediction models (see Supplementary Tables 2 and 3 for a complete list of molecular features that contributed to the prediction models and their respective coefficients).…”

Altered profile of plasma phospholipids in woman with recurrent pregnancy loss and recurrent implantation failure treated with lipid emulsion therapy

“…Aiming to monitoring the stability of the analytical analysis, equal amounts of all samples were pooled as a quality control (QC) sample and splinted in 16 equal fractions that were placed after every 10 samples. The method was based on previously published works from our group 18,19 . An ACQUITY UPLC coupled to a XEVO‐G2XS QTOF mass spectrometer (Waters, Milford, MA) equipped with an electrospray ion source was used.…”

“…The method was based on previously F I G U R E 1 Times of blood collections and LET infusion published works from our group. 18,19 An ACQUITY UPLC coupled to a XEVO-G2XS QTOF mass spectrometer (Waters, Milford, MA) equipped with an electrospray ion source was used. Liquid chromatography was performed using an SUPELCO Titan ® C18 column (2.1 mm × 100 mm, 1.7 μm, Waters).…”

Sepsis: deriving biological meaning and clinical applications from high-dimensional data

“…HDL-C can bind and isolate potentially harmful lipids derived from pathogens, and has, therefore, been hypothesized to play a protective role in bacterial infections [ 49 ]. A more untargeted approach has been employed by Mecatti et al, who measured a part of the plasma lipidome in 21 patients with SIRS and 21 patients with sepsis [ 50 ]. Multiple lipid species, such as glycerosphingolipids and prostaglandins, were more abundant in the sepsis group, while l -octanoylcarnitine was found to be most relevant for prognostic classification, discriminating between survivors and non-survivors.…”