High interleukin-8 serum levels independently predict long-term all-cause mortality in chronic heart failure

These findings suggest IL-8's unique role in HF pathophysiology and its potential as a biomarker and therapeutic target. Further research is needed to validate these results and explore the clinical utility of IL-8 modulation in HF management.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-10-24
DOI
https://doi.org/10.3389/fcvm.2025.1677503
Primary Topic
Cardiac Fibrosis and Remodeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High interleukin-8 serum levels independently predict long-term all-cause mortality in chronic heart failure

Jan Traub, Michael Klaus Schuhmann, Niklas Beyersdorf, Anna Frey et al.
Frontiers in Cardiovascular Medicine
Cardiac Fibrosis and Remodeling
article

High interleukin-8 serum levels independently predict long-term all-cause mortality in chronic heart failure

Jan Traub, Michael Klaus Schuhmann, Niklas Beyersdorf, Anna Frey, Guido Stoll, Stefan Frantz, Ulrich Hofmann, Stefan Störk, Gustavo C. Ramos
article en

Abstract

These findings suggest IL-8's unique role in HF pathophysiology and its potential as a biomarker and therapeutic target. Further research is needed to validate these results and explore the clinical utility of IL-8 modulation in HF management.

Frontiers in Cardiovascular MedicineVol. 12
University of Würzburg (DE), Universitätsklinikum Würzburg (DE)
Openalex Percentile: Top 54%
Cardiac Fibrosis and Remodeling
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.