Oxidative Stress and DNA Damage Biomarkers in Heart Failure: A Systematic Review and Meta-Analysis

Background: Oxidative stress is a key driver of heart failure (HF) pathophysiology, promoting myocardial injury, inflammation, and remodeling. Although numerous biomarkers of oxidative stress and DNA damage have been investigated in HF, their clinical relevance remains uncertain. This systematic review and meta-analysis aimed to evaluate alterations in these biomarkers in HF patients compared to healthy controls. Methods: A comprehensive search of PubMed, MEDLINE, the Cochrane Library, and Web of Science was conducted in accordance with PRISMA guidelines. Studies reporting oxidative stress or DNA damage biomarkers in HF patients versus controls were included. Random-effects models were used to calculate ratios of means (ROM) with 95% confidence intervals (CI). Heterogeneity and publication bias were assessed using the I2 statistic and Begg’s test. Results: Data from 3015 HF patients and 2704 controls were analyzed. HF patients had significantly higher levels of 8-hydroxy-2′-deoxyguanosine (8-OHdG) (ROM = 2.24, 95% CI: 1.75–2.88), malondialdehyde (MDA) (ROM = 1.87, 95% CI: 1.49–2.36) and isoprostanes (ROM = 2.83, 95% CI: 1.97–4.05). Telomere length was significantly shorter (ROM = 0.66, 95% CI: 0.53–0.81), indicating accelerated cellular aging. Considerable heterogeneity was observed across studies. Conclusion: This meta-analysis supports a robust association between oxidative stress, DNA damage, and HF, highlighting the potential role of these biomarkers in disease monitoring and prognosis.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-13
DOI
https://doi.org/10.5281/zenodo.17339301
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oxidative Stress and DNA Damage Biomarkers in Heart Failure: A Systematic Review and Meta-Analysis

Zenodo (CERN European Organization for Nuclear Research)
Chemotherapy-induced cardiotoxicity and mitigation
article

Oxidative Stress and DNA Damage Biomarkers in Heart Failure: A Systematic Review and Meta-Analysis

article en

Abstract

Background: Oxidative stress is a key driver of heart failure (HF) pathophysiology, promoting myocardial injury, inflammation, and remodeling. Although numerous biomarkers of oxidative stress and DNA damage have been investigated in HF, their clinical relevance remains uncertain. This systematic review and meta-analysis aimed to evaluate alterations in these biomarkers in HF patients compared to healthy controls. Methods: A comprehensive search of PubMed, MEDLINE, the Cochrane Library, and Web of Science was conducted in accordance with PRISMA guidelines. Studies reporting oxidative stress or DNA damage biomarkers in HF patients versus controls were included. Random-effects models were used to calculate ratios of means (ROM) with 95% confidence intervals (CI). Heterogeneity and publication bias were assessed using the I2 statistic and Begg’s test. Results: Data from 3015 HF patients and 2704 controls were analyzed. HF patients had significantly higher levels of 8-hydroxy-2′-deoxyguanosine (8-OHdG) (ROM = 2.24, 95% CI: 1.75–2.88), malondialdehyde (MDA) (ROM = 1.87, 95% CI: 1.49–2.36) and isoprostanes (ROM = 2.83, 95% CI: 1.97–4.05). Telomere length was significantly shorter (ROM = 0.66, 95% CI: 0.53–0.81), indicating accelerated cellular aging. Considerable heterogeneity was observed across studies. Conclusion: This meta-analysis supports a robust association between oxidative stress, DNA damage, and HF, highlighting the potential role of these biomarkers in disease monitoring and prognosis.

Zenodo (CERN European Organization for Nuclear Research)
San Raffaele University of Rome (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Good health and well-being
Openalex Percentile: Top 36%
Chemotherapy-induced cardiotoxicity and mitigation
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.