TY - JOUR
T1 - Profiling the dysregulated immune response in sepsis
T2 - overcoming challenges to achieve the goal of precision medicine
AU - Cajander, Sara
AU - Kox, Matthijs
AU - Scicluna, Brendon P
AU - Weigand, Markus A
AU - Mora, Raquel Almansa
AU - Flohé, Stefanie B
AU - Martin-Loeches, Ignacio
AU - Lachmann, Gunnar
AU - Girardis, Massimo
AU - Garcia-Salido, Alberto
AU - Brunkhorst, Frank M
AU - Bauer, Michael
AU - Torres, Antoni
AU - Cossarizza, Andrea
AU - Monneret, Guillaume
AU - Cavaillon, Jean-Marc
AU - Shankar-Hari, Manu
AU - Giamarellos-Bourboulis, Evangelos J
AU - Winkler, Martin Sebastian
AU - Skirecki, Tomasz
AU - Osuchowski, Marcin
AU - Rubio, Ignacio
AU - Bermejo-Martin, Jesus F
AU - Schefold, Joerg C
AU - Venet, Fabienne
N1 - Copyright © 2024 Elsevier Ltd. All rights reserved.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Sepsis is characterised by a dysregulated host immune response to infection. Despite recognition of its significance, immune status monitoring is not implemented in clinical practice due in part to the current absence of direct therapeutic implications. Technological advances in immunological profiling could enhance our understanding of immune dysregulation and facilitate integration into clinical practice. In this Review, we provide an overview of the current state of immune profiling in sepsis, including its use, current challenges, and opportunities for progress. We highlight the important role of immunological biomarkers in facilitating predictive enrichment in current and future treatment scenarios. We propose that multiple immune and non-immune-related parameters, including clinical and microbiological data, be integrated into diagnostic and predictive combitypes, with the aid of machine learning and artificial intelligence techniques. These combitypes could form the basis of workable algorithms to guide clinical decisions that make precision medicine in sepsis a reality and improve patient outcomes.
AB - Sepsis is characterised by a dysregulated host immune response to infection. Despite recognition of its significance, immune status monitoring is not implemented in clinical practice due in part to the current absence of direct therapeutic implications. Technological advances in immunological profiling could enhance our understanding of immune dysregulation and facilitate integration into clinical practice. In this Review, we provide an overview of the current state of immune profiling in sepsis, including its use, current challenges, and opportunities for progress. We highlight the important role of immunological biomarkers in facilitating predictive enrichment in current and future treatment scenarios. We propose that multiple immune and non-immune-related parameters, including clinical and microbiological data, be integrated into diagnostic and predictive combitypes, with the aid of machine learning and artificial intelligence techniques. These combitypes could form the basis of workable algorithms to guide clinical decisions that make precision medicine in sepsis a reality and improve patient outcomes.
KW - Humans
KW - Precision Medicine/methods
KW - Artificial Intelligence
KW - Goals
KW - Algorithms
KW - Sepsis/diagnosis
U2 - 10.1016/S2213-2600(23)00330-2
DO - 10.1016/S2213-2600(23)00330-2
M3 - Review article
C2 - 38142698
SN - 2213-2600
VL - 12
SP - 305
EP - 322
JO - The Lancet Respiratory Medicine
JF - The Lancet Respiratory Medicine
IS - 4
ER -