Evidence map›Paper›PMID 39315143›Full record

ArticleHeliyon2024

Developing diagnostic biomarkers for Alzheimer's disease based on histone lactylation-related gene.

Shaobo Guo, Wenhui Zhu, Yuting Bian, Zhikai Li, Heng Zheng, Wenlong Li, Yi Yang, Xuzheng Ji, Biao Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

9 authors.

Shaobo GuoThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Wenhui ZhuThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Yuting BianThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Zhikai LiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Heng ZhengThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Wenlong LiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Yi YangThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Xuzheng JiThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.
Biao ZhangThe Affiliated Hospital of Nanjing University of Chinese Medicine, Department of Geriatric, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research underscores the significant influence of histone lactylation pathways in the progression of Alzheimer's disease (AD), though the molecular mechanisms associated with histone lactylation-related genes (HLRGs) in AD are still insufficiently investigated. Methods: This study employed datasets GSE85426 and GSE97760 to identify candidate genes by intersecting weighted gene co-expression network analysis (WGCNA) module genes with AD-control differentially expressed genes (DEGs). Subsequently, machine learning refined key genes, validated by receiver operating characteristic (ROC) curve performance. Gene-set enrichment analysis (GSEA) explored the molecular mechanisms of these diagnostic markers. Concurrently, the association between the diagnostic genes and both differential immune cells and immune responses was examined. Furthermore, a ceRNA and gene-drug network was developed. Finally, the expression of the selected genes was validated using brain tissues from AD model mice. Results: This study identified five genes (ARID5B, NSMCE4A, SESN1, THADA, and XPA) with significant diagnostic utility, primarily enriched in olfactory transduction and N-glycan biosynthesis pathways. Correlation analysis demonstrated a strong positive association between all diagnostic genes and naive B cells. The ceRNA regulatory network comprised 7 miRNAs, 2 mRNAs, and 25 lncRNAs. Additionally, 33 drugs targeting the diagnostic genes were predicted. Following expression validation through training and validation sets, three genes (ARID5B, SESN1, XPA) were ultimately confirmed as biomarkers for this study. RT-qPCR and Western blot analyses revealed upregulated expression of ARID5B, SESN1, and XPA in the cerebral tissue of AD model mice. Conclusion: Three histone lactylation-linked genes (ARID5B, SESN1, XPA) were identified as potential AD biomarkers, indicating a strong association with disease progression.

Indexed as

Alzheimer's diseaseBiomarkersDiagnosisHistone lactylation-related genesMachine learning

Identifiers

PMID39315143
PMCPMC11417585

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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.