P-641. Distinct Cytokine Profiles in Severe Community-acquired Pneumonia and Metabolic Dysfunction-associated Steatotic Liver Disease

Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) has recently been identified as a risk factor for severe community-acquired pneumonia (sCAP) outcomes. While MASLD is associated with chronic systemic inflammation, cytokine responses in patients with sCAP and MASLD have not been characterized. The aim of this study was to analyze differences in concentrations and kinetics of cytokines in sCAP patients with and without MASLD. Methods A prospective cohort pilot study included patients hospitalized with sCAP defined according to IDSA criteria. Upon admission, clinical and laboratory data were collected, and liver fibroelastography was performed to determine the presence of liver fibrosis and steatosis. Serum concentrations of 13 cytokines (IL-4, IL-2, CXCL10, IL-1β, TNF-α, CCL2, IL-17A, IL-6, IL-10, IFN-γ, IL-12p70, TGF-β1 and IL-8) were analyzed using a multiplex bead-based assay by flow cytometry at admission and on day 5 of hospitalization. Results Thirty-eight patients (26 males, median age of 69, [IQR 61-79] years) with sCAP (SOFA 3 [IQR 2-4], PaO2/FiO2 186 [IQR 150-241]) were included. Of them, 18 (47.4%) had MASLD. There were no differences in age, sex and baseline disease severity between the groups. Patients with MASLD more frequently had components of metabolic syndrome. Etiology was identified in 66%, most commonly influenza (50%) and S. pneumoniae (18%). There were no differences in routine laboratory findings at admission, except for lactate, urea, AST, ALT and LDH which were higher in the MASLD group. While at admission we observed no differences in cytokine concentrations, on the 5th-day patients with MASLD had significantly higher concentrations of CXCL10, IL-10, TNF-α, and lower TGF- β1. Both groups had similar cytokine kinetics with significant decreases in CXCL10, CCL2, IL-10, IL-8 and IL-6. However, distinct temporal changes were observed for TGF-β1 and IL-2 which increased only in patients without MASLD. Conclusion In conclusion, MASLD is associated with distinct cytokine profiles and kinetics in sCAP. A better understanding of cytokine changes could potentially help elucidate the complex and aberrant immune responses in MASLD patients during sCAP. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.838
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-641. Distinct Cytokine Profiles in Severe Community-acquired Pneumonia and Metabolic Dysfunction-associated Steatotic Liver Disease

Branimir Gjurašin, Mia Jeličić, Neven Papić, Leona Radmanić
Open Forum Infectious Diseases
Liver Disease Diagnosis and Treatment
article

P-641. Distinct Cytokine Profiles in Severe Community-acquired Pneumonia and Metabolic Dysfunction-associated Steatotic Liver Disease

Branimir Gjurašin, Mia Jeličić, Neven Papić, Leona Radmanić
article en

Abstract

Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) has recently been identified as a risk factor for severe community-acquired pneumonia (sCAP) outcomes. While MASLD is associated with chronic systemic inflammation, cytokine responses in patients with sCAP and MASLD have not been characterized. The aim of this study was to analyze differences in concentrations and kinetics of cytokines in sCAP patients with and without MASLD. Methods A prospective cohort pilot study included patients hospitalized with sCAP defined according to IDSA criteria. Upon admission, clinical and laboratory data were collected, and liver fibroelastography was performed to determine the presence of liver fibrosis and steatosis. Serum concentrations of 13 cytokines (IL-4, IL-2, CXCL10, IL-1β, TNF-α, CCL2, IL-17A, IL-6, IL-10, IFN-γ, IL-12p70, TGF-β1 and IL-8) were analyzed using a multiplex bead-based assay by flow cytometry at admission and on day 5 of hospitalization. Results Thirty-eight patients (26 males, median age of 69, [IQR 61-79] years) with sCAP (SOFA 3 [IQR 2-4], PaO2/FiO2 186 [IQR 150-241]) were included. Of them, 18 (47.4%) had MASLD. There were no differences in age, sex and baseline disease severity between the groups. Patients with MASLD more frequently had components of metabolic syndrome. Etiology was identified in 66%, most commonly influenza (50%) and S. pneumoniae (18%). There were no differences in routine laboratory findings at admission, except for lactate, urea, AST, ALT and LDH which were higher in the MASLD group. While at admission we observed no differences in cytokine concentrations, on the 5th-day patients with MASLD had significantly higher concentrations of CXCL10, IL-10, TNF-α, and lower TGF- β1. Both groups had similar cytokine kinetics with significant decreases in CXCL10, CCL2, IL-10, IL-8 and IL-6. However, distinct temporal changes were observed for TGF-β1 and IL-2 which increased only in patients without MASLD. Conclusion In conclusion, MASLD is associated with distinct cytokine profiles and kinetics in sCAP. A better understanding of cytokine changes could potentially help elucidate the complex and aberrant immune responses in MASLD patients during sCAP. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University Hospital Centre Zagreb (HR)
Openalex Percentile: Top 98%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.