Evidence map›Paper›PMID 42416580›Full record

ArticleReviews in cardiovascular medicine2026

Elevated Circulating HMGB1 Levels as a Potential Biomarker for the Diagnosis and Therapy of Heart Failure: A Cross-Sectional Study.

Xiaoting Jiang, Xia Feng, Wen Liu, Shaolin Gong, Xiaoping Peng, Xiang Wang

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaoting JiangDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0009-0006-9045-519X
Xia FengDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.
Wen LiuDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0009-0006-7146-1236
Shaolin GongDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-0050-5490
Xiaoping PengDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0002-5434-3346
Xiang WangDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0001-8148-4155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-mobility group box 1 (HMGB1), a damage-associated molecular pattern (DAMP), has increasingly been implicated in the pathogenesis of various cardiovascular diseases. This study aimed to elucidate the relationship between circulating HMGB1 levels and the development of heart failure (HF). Methods: This single-center cross-sectional study enrolled 412 patients presenting with chest tightness or pain at the Department of Cardiovascular Medicine, First Affiliated Hospital of Nanchang University, between January and July 2025. The relationship between HMGB1 and HF occurrence was evaluated using Spearman's correlation analysis, logistic regression models, restricted cubic spline (RCS) plots, and receiver operating characteristic (ROC) curves. Subgroup analyses were also performed to assess the robustness of the findings. Results: Of the 412 enrolled patients, 343 were included in the final analysis after application of the exclusion criteria; 151 were diagnosed with HF, and 192 served as controls. Serum HMGB1 levels were significantly higher in the HF group than in the control group (1.53 ng/mL vs 0.93 ng/mL; Conclusions: The levels of HMGB1 elevation were significantly related to the occurrence of HF, which may serve as a potential biomarker for the development of innovative therapeutic strategies in patients with heart failure.

Indexed as

biomarkerdamage-associated molecular patternsheart failurehigh-mobility group box 1inflammation

Identifiers

PMID42416580
PMCPMC13339188

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.