Evidence map›Paper›PMID 39625632›Full record

ArticleBlood research2024

Evaluating histone H3.1 as a biomarker for acute ischemic stroke: insights into NETs and stroke pathophysiology.

Suji Park, Jae-Ryong Shim, Ri-Young Goh, Dae-Hyun Kim, Jin-Yeong Han

Abstract readLetter
In one paragraph

Article in Blood research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Regulation of histones in thromboinflammation.Frontiers in immunology · 2026
    Review
  5. Review
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

5 authors.

Suji ParkDepartment of Laboratory Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0009-0005-8279-9075
Jae-Ryong ShimDepartment of Laboratory Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-5890-8295
Ri-Young GohDepartment of Laboratory Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0009-0008-5346-3283
Dae-Hyun KimDepartment of Neurology, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-9761-7792
Jin-Yeong HanDepartment of Laboratory Medicine, Dong-A University College of Medicine, Busan, Korea. jyhan@dau.ac.kr.ORCID https://orcid.org/0000-0003-0280-2739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of acute ischemic stroke (AIS) can be challenging when neuroimaging findings are normal or equivocal. Neutrophil extracellular traps (NETs), particularly histone H3.1, have potential as biomarkers for AIS. This study evaluated NETs, specifically histone H3.1, as diagnostic biomarkers for AIS. This prospective study included 89 patients with AIS and 20 healthy controls. Plasma histone H3.1 levels were measured using the Nu.Q® H3.1 enzyme-linked immunosorbent assay (ELISA). Seven cytokines were analyzed using a bead-based immunoassay. Statistical analyses were used to compare histone H3.1 levels between groups and evaluate correlations with clinical parameters and cytokines. Histone H3.1 levels were significantly higher in patients with AIS (271.05 ± 33.40 ng/mL) versus controls (95.33 ± 12.86 ng/mL, p < 0.001). Multivariable logistic regression identified H3.1 as an independent risk factor for AIS (p = 0.006), with an area under the curve of 0.907. Significant correlations were found between H3.1, interleukin-6 (0.290, p = 0.013) and vascular cell adhesion molecule 1 (0.297, p = 0.011). In conclusion, the NETs H3.1 ELISA test is a reliable new diagnostic option that supports the diagnosis of AIS.

Indexed as

BiomarkerHistoneImmunothrombosisIschemic strokeNeutrophil extracellular traps

Identifiers

PMID39625632
PMCPMC11615166

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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.