Evidence map›Paper›PMID 40666706›Full record

ArticleHuman mutation2025

Immune Dysregulation and Prognosis in Sepsis: Insights From a Posttranslational Perspective.

Yifeng Ye, Qiaoling Chen, Dongjin Wu, Gaojie Yu, Jia'nan Liu, Yang Li, Zhihong Xu, Liang Lin

Abstract read
In one paragraph

Article in Human mutation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Yifeng YeDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Qiaoling ChenDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Dongjin WuDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Gaojie YuDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Jia'nan LiuDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Yang LiDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.ORCID https://orcid.org/0009-0002-0303-855X
Zhihong XuDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0003-3655-1464
Liang LinDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.ORCID https://orcid.org/0009-0004-0113-0568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening condition triggered by infection, resulting in widespread inflammation, immune dysfunction, and multiorgan failure. Despite advances in medical science, early detection, treatment, and prognosis remain significant challenges. In this study, we investigated the expression and functional role of ZDHHC19, a palmitoyltransferase enzyme, in sepsis. Our results demonstrate that ZDHHC19 is significantly upregulated in neutrophils during sepsis and correlates with inflammatory pathways critical to disease progression. High ZDHHC19 expression was associated with increased activation of immune-inflammatory processes such as collagen metabolism, myeloid cell activation, and cell adhesion, while suppressing antigen presentation. Additionally, ZDHHC19 expression was linked to poor patient prognosis, with higher levels correlating with increased mortality and sepsis shock. Using advanced computational tools, including XGBoost for machine learning-based core gene selection and CellChat for cell communication analysis, we identified key regulatory networks modulated by ZDHHC19, revealing its pivotal role in immune dysregulation. These findings suggest that ZDHHC19 may serve as a potential biomarker for the diagnosis and prognosis of sepsis and open new avenues for targeted therapeutic interventions aimed at modulating immune responses in this condition.

Indexed as

AcyltransferasesProtein Processing, Post-TranslationalSepsisBiomarkersComputational BiologyFemaleGene Regulatory NetworksHumansMaleNeutrophilsPrognosisAcyltransferasesBiomarkersimmune responsepalmitoylationprognostic biomarkersepsisZDHHC19

Identifiers

PMID40666706
PMCPMC12263264

What OpenQuestion holds

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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 OpenQuestion graph.