"Inhibitory immune checkpoints predict 7-day, in-hospital and 1-year mortality of internal medicine patients admitted with bacterial sepsis".

Galectin-1 IL-1 receptor-associated kinase M IRAK-M PD-1 SOCS 3 biomarkers checkpoints immune modulatory therapy immune paralysis sepsis

Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
23 Jul 2024
Historique:
received: 13 05 2024
revised: 15 07 2024
accepted: 18 07 2024
medline: 23 7 2024
pubmed: 23 7 2024
entrez: 23 7 2024
Statut: aheadofprint

Résumé

Sepsis is a life-threatening syndrome with complex pathophysiology and great clinical heterogeneity which complicates the delivery of personalized therapies. Our goals were to demonstrate that some biomarkers identified as regulatory immune checkpoints in preclinical studies could 1)improve sepsis prognostication based on clinical variables and 2)guide the stratification of septic patients in subgroups with shared characteristics of immune response or survival outcomes. We assayed the soluble counterparts of 12 biomarkers of immune response in 113 internal medicine patients with bacterial sepsis. IL-1 receptor-associated kinase M (IRAK-M) exhibited the highest hazard ratios (HRs) for increased 7-day (1.94 [1.17-3.20]) and 30-day mortality (1.61 [1.14-2.28]). HRs of IRAK-M and Galectin-1 for predicting 1-year mortality were 1.52 (1.20-1.92) and 1.64 (1.13-2.36), respectively. A prognostic model including IRAK-M, Galectin-1, and clinical variables (Charlson Comorbidty Index, multiple source of sepsis, and SOFA score) had high discrimination for death at 7 days and 30 days (area under the curve 0.90 [0.82-0.99]) and 0.86 [0.79-0.94], respectively). Patients with elevated serum levels of IRAK-M and Galectin-1 had clinical traits of immune suppression and low survival rates. None of the 12 biomarkers were independent predictors of 2-year mortality. Two inhibitory immune checkpoint biomarkers (IRAK-M and Galectin-1) helped identify 3 distinct sepsis phenotypes with distinct prognoses. These biomarkers shed light on the interplay between immune dysfunction and prognosis in patients with bacterial sepsis and may prove to be useful prognostic markers, therapeutic targets, and biochemical markers for targeted enrollment in targeted therapeutic trials.

Sections du résumé

BACKGROUND BACKGROUND
Sepsis is a life-threatening syndrome with complex pathophysiology and great clinical heterogeneity which complicates the delivery of personalized therapies. Our goals were to demonstrate that some biomarkers identified as regulatory immune checkpoints in preclinical studies could 1)improve sepsis prognostication based on clinical variables and 2)guide the stratification of septic patients in subgroups with shared characteristics of immune response or survival outcomes.
METHODS METHODS
We assayed the soluble counterparts of 12 biomarkers of immune response in 113 internal medicine patients with bacterial sepsis.
RESULTS RESULTS
IL-1 receptor-associated kinase M (IRAK-M) exhibited the highest hazard ratios (HRs) for increased 7-day (1.94 [1.17-3.20]) and 30-day mortality (1.61 [1.14-2.28]). HRs of IRAK-M and Galectin-1 for predicting 1-year mortality were 1.52 (1.20-1.92) and 1.64 (1.13-2.36), respectively. A prognostic model including IRAK-M, Galectin-1, and clinical variables (Charlson Comorbidty Index, multiple source of sepsis, and SOFA score) had high discrimination for death at 7 days and 30 days (area under the curve 0.90 [0.82-0.99]) and 0.86 [0.79-0.94], respectively). Patients with elevated serum levels of IRAK-M and Galectin-1 had clinical traits of immune suppression and low survival rates. None of the 12 biomarkers were independent predictors of 2-year mortality.
CONCLUSIONS CONCLUSIONS
Two inhibitory immune checkpoint biomarkers (IRAK-M and Galectin-1) helped identify 3 distinct sepsis phenotypes with distinct prognoses. These biomarkers shed light on the interplay between immune dysfunction and prognosis in patients with bacterial sepsis and may prove to be useful prognostic markers, therapeutic targets, and biochemical markers for targeted enrollment in targeted therapeutic trials.

Identifiants

pubmed: 39041838
pii: 7718597
doi: 10.1093/infdis/jiae370
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Published by Oxford University Press on behalf of Infectious Diseases Society of America 2024.

Auteurs

Filippo Mearelli (F)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Alessio Nunnari (A)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Annalisa Rombini (A)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Federica Chitti (F)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Francesca Spagnol (F)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Chiara Casarsa (C)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Giulia Bolzan (G)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Ilaria Martini (I)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Anna Marinelli (A)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Stefania Rizzo (S)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Cristiana Teso (C)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Alessandra Macor (A)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Nicola Fiotti (N)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Giulia Barbati (G)

Unità di Biostatistica, Dipartimento di Scienze Mediche, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Carlo Tascini (C)

Clinica Malattie Infettive, Dipartimento di Area Medica, Università di Udine, Via Pozzuolo n° 330, 33100, Udine, Italy.

Venera Costantino (V)

Microbiologia e Virologia, DAI di Medicina dei Servizi, Strada di Fiume n° 447, Trieste, Italy.

Stefano Di Bella (S)

Clinica Malattie Infettive, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Filippo Giorgio Di Girolamo (FG)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Tiziana Bove (T)

Clinica di Anestesia e Rianimazione Udine, Dipartimento di Anestesia e Terapia Intensiva, Università di Udine, Via Pozzuolo n° 330, 33100, Udine, Italy.

Daniele Orso (D)

Clinica di Anestesia e Rianimazione Udine, Dipartimento di Anestesia e Terapia Intensiva, Università di Udine, Via Pozzuolo n° 330, 33100, Udine, Italy.

Giorgio Berlot (G)

Anestesia Rianimazione e Terapia Antalgica, Dipartimento Emergenza Urgenza Accettazione, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Michael Klompas (M)

Harvard Medical School, Department of Population Medicine, 401 Park Street, Suite 401 East, Boston, MA, USA.

Gianni Biolo (G)

Clinica Medica, Dipartimento Scienze Mediche, Chirurgiche e della Salute, Università di Trieste, Strada di Fiume n° 447, Trieste, Italy.

Classifications MeSH