Evidence map›Paper›PMID 40263316›Full record

ArticleScientific reports2025

Characterization of lactylation-based phenotypes and molecular biomarkers in sepsis-associated acute respiratory distress syndrome.

Yiheng Wang, An Wei, Zixuan Su, Yunyi Shi, Xinqiu Li, Lixian He

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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.

Yiheng WangDepartment of Anesthesiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Shigu District, Hengyang, 421001, Hunan Province, China. wyheng11@163.com.
An WeiDepartment of Anesthesiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Shigu District, Hengyang, 421001, Hunan Province, China.
Zixuan SuDepartment of Anesthesiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Shigu District, Hengyang, 421001, Hunan Province, China.
Yunyi ShiDepartment of Ophthalmology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan Province, China.
Xinqiu LiDepartment of Anesthesiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, 69 Chuanshan Road, Shigu District, Hengyang, 421001, Hunan Province, China.
Lixian HeDepartment of Ophthalmology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan Province, China. hlxian0706@126.com.

Funding

Natural Science Foundation of Hunan Province, China 2023JJ40585Natural Science Foundation of Hunan Province, China 2024JJ5354Scientific and Technology Research Projects of Health Commission of Hunan Province, China W20243167Scientific Research Project of Hunan Provincial Education, China 21C0300
6 · The paper itself

Abstract

Sepsis-associated acute respiratory distress syndrome (ARDS) is a heterogeneous disease with high morbidity and mortality. Lactylation plays a crucial role in sepsis and sepsis-induced lung injury. This study aimed to identify distinct lactylation-based phenotypes in patients with sepsis-associated ARDS and determine relevant molecular biomarkers. We analyzed blood transcriptome and clinical data from patients with sepsis-associated ARDS and calculated the lactylation activity. KEGG pathway analysis, drug sensitivity prediction, and immune cell infiltration analysis were performed. Candidate molecular biomarkers were identified by intersecting the feature genes extracted from four machine learning models. Lactylation activity showed significant heterogeneity among patients with sepsis-associated ARDS, which enabled the classification into low- and high-lactylation activity phenotypes. Patients with high-lactylation experienced longer hospital stays and higher mortality rates, as well as distinct signaling pathways, drug responses, and circulating immune cell abundances. Six key markers (ALDOB, CCT5, EP300, PFKP, PPIA, and SIRT1) were identified to differentiate the two lactylation activity phenotypes, all significantly correlated with circulating immune cell populations. This study revealed significant heterogeneity in lactylation activity phenotypes among patients with sepsis-associated ARDS and identified potential biomarkers to facilitate the application of these phenotypes in clinical practice.

Indexed as

BiomarkersRespiratory Distress SyndromeSepsisAgedFemaleHumansMaleMiddle AgedPhenotypeTranscriptomeBiomarkersCirculating immune cellsHeterogeneityLactylationMolecular biomarkersPhenotypeSepsis-associated acute respiratory distress syndrome

Identifiers

PMID40263316
PMCPMC12015483

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