Evidence map›Paper›PMID 42766563›Full record

ArticlePloS one2026

Single-cell RNA-seq and machine learning identify HMGN2 as a lactylation-associated hub gene in heart failure.

Anzhen Xu, Yanbo Li, Qing Gong, Hanrui Sun, Jiayu Shi, Jingyu Li, Pengyang Gu, Jixu Shi, Xiang Li, Qi Lu

Abstract read
In one paragraph

Article in PloS one, 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
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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

10 authors.

Anzhen XuDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Yanbo LiDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Qing GongDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Hanrui SunDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Jiayu ShiDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Jingyu LiDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Pengyang GuDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Jixu ShiDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Xiang LiDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.
Qi LuDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, China.ORCID https://orcid.org/0000-0002-2849-6488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a diverse condition characterized by dysregulated lactate metabolism and histone lactylation, which may contribute to maladaptive cardiac remodeling. However, the cell type-specific mechanisms underlying these processes remain poorly understood. To address this gap, we integrated single-cell RNA sequencing (scRNA-seq) data from human failing and non-failing control hearts and assessed lactylation activity across identified cell types using multiple gene set scoring methods. Uniform manifold approximation and projection (UMAP) analysis revealed that fibroblasts and smooth muscle cells (SMC) exhibited the highest lactylation signature scores, with overall lactylation activity considerably higher in HF compared to controls. Seven potential lactylation-related genes (LRGs) were found using machine learning algorithms, including Boruta, Random Forest, LASSO, and XGBoost. Among these, HMGN2, NUCKS1, and VIM were significantly upregulated in HF, with HMGN2 demonstrating the highest consistency across datasets as a reliable biomarker. Gene set enrichment analysis (GSEA) and transcription factor-miRNA (TF-miRNA) regulatory network analysis connected HMGN2 to immune-inflammatory signaling pathways and protein homeostasis dysregulation. Pseudotime trajectory and intercellular interaction analyses further indicated a progressive rise in lactylation scores and HMGN2 expression along fibroblast and smooth muscle cell differentiation paths, suggesting potential crosstalk with immune cells. In vivo validation using a mouse model of pressure overload-induced HF confirmed cardiac hypertrophy and fibrosis, accompanied by increased HMGN2 expression. These results indicate that lactylation activity is selectively enhanced in HF and identify HMGN2 as a candidate hub gene associated with HF progression. This integrative multi-omics study provides the first cell-type-resolved map of lactylation in HF and highlights HMGN2 as a promising therapeutic target.

Indexed as

Heart FailureMachine LearningAnimalsFibroblastsGene Regulatory NetworksHumansMaleMiceMyocytes, Smooth MuscleRNA-SeqSingle-Cell AnalysisSingle-Cell Gene Expression Analysis

Identifiers

PMID42766563
PMCPMC13592623

What Socratic holds

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Registered trials

None linked

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.