Evidence map›Paper›PMID 42857286›Full record

ArticleJournal of inflammation research2026

Ferroptosis Profiling of Outcome-Associated Monocyte Subsets and the Potential Regulatory Role of LDHA in Early Sepsis.

Xiaoye Wang, Dan Liu, Si Li, Kun Wang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 authors.

Xiaoye WangDepartment of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.
Dan LiuDepartment of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.
Si LiSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, Heilongjiang, 150081, People's Republic of China.
Kun WangDepartment of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sepsis carries high morbidity and mortality, and early precise intervention is critical for improving outcomes. The heterogeneity of circulating immune cells, particularly at the monocyte subset level, remains a major barrier to early risk stratification. This study aimed to identify prognosis-associated monocyte subsets and their key regulators in early sepsis, providing potential clues for early prognostic assessment and targeted intervention. Methods: We analyzed single-cell transcriptomic profiles of peripheral blood mononuclear cells (PBMCs) from patients with early sepsis and healthy controls in the GSE167363 dataset to define myeloid subsets associated with clinical outcomes. Core regulatory molecules were prioritized by intersecting differentially expressed genes (DEGs) with cell death-related gene sets, and their expression patterns were examined in bulk transcriptomic cohorts. The lead candidate was further evaluated through in vitro functional experiments and in vivo survival studies using the cecal ligation and puncture (CLP) mouse model. Results: A transitional monocyte subset defined by high Conclusion: This study identifies an outcome-associated monocyte subset with a ferroptosis signature in early sepsis and suggests a potential regulatory role for LDHA in monocyte ferroptosis.

Indexed as

ferroptosisLDHAmonocytesprognosissepsis

Identifiers

PMID42857286
PMCPMC13651797

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.