Evidence map›Paper›PMID 41246341›Full record

ArticleFrontiers in immunology2025

Lactylation-related gene

Zichen Shao, Qinqin Deng, Ling Cheng, Jianfeng Wu, Weikang Sun, Weidong Liang, Huanan Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Commentary: Lactylation-related geneFrontiers in immunology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Zichen ShaoJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Qinqin DengJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Ling ChengJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Jianfeng WuAffiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Weikang SunJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Weidong Liang *Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Huanan Li *Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically identify key differentially expressed genes (DEGs) associated with lysine lactylation in osteoporosis and to explore their potential roles in disease pathogenesis from a dual perspective of metabolic and immune regulation, thereby providing a theoretical basis for targeted therapeutic strategies. Methods: Five osteoporosis-related gene expression microarray datasets and one single-cell RNA-sequencing dataset were integrated from the GEO database. A lactylation-related gene panel comprising 1,347 genes was used to construct a screening framework. Batch effect correction, differential expression analysis, GO/KEGG enrichment, CIBERSORT-based immune infiltration, and GSEA/GSVA functional annotation were performed. A total of 113 combinations of machine learning models were applied to identify key genes. Single-cell UMAP clustering and CellChat-based intercellular communication analysis were conducted to further characterize the findings. Results: A total of 37 lactylation-related DEGs were identified, mainly enriched in metabolic and inflammatory pathways. Among them, Conclusion:

Indexed as

OsteoporosisTranscriptomeAnimalsGene Expression ProfilingHumansMacrophagesMiceMultiomicsRAW 264.7 CellsSingle-Cell AnalysisAKR1A1immunometabolismlysine lactylationmulti-omics integrationosteoporosissingle-cell RNA sequencingSPP1–CD44 signaling pathway

Identifiers

PMID41246341
PMCPMC12611816

What OpenQuestion holds

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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.