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与体重减轻相关的DNA甲基化模式:可靶向的生物标志物及对通路的见解

Weight-loss associated DNA methylation patterns: targetable biomarkers and pathway insights.

作者信息

Zeng Longjin, Chen Xu, Zhang Longyao, Qi Yaxian, Li Lingchen, Yin Chenrui, Sun Jianguo

机构信息

Department of Basic Medicine, Army Medical University, Chongqing, 400038, China.

Department of Medical Affairs, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.

出版信息

BMC Res Notes. 2025 Jul 22;18(1):314. doi: 10.1186/s13104-025-07324-x.

DOI:10.1186/s13104-025-07324-x
PMID:40696457
Abstract

Weight loss is a firmly established negative survival factor for individuals with cancer, yet effective biomarkers and targeted therapies remain elusive. In this study, we collected skeletal muscle, noncancerous, and cancerous tissues using the Illumina EPIC array to identify conserved DNA methylation probes associated with weight loss following bariatric surgery. Next, the consistency of the probes is evaluated and then the probes are integrated into a generalizable pathway enrichment score. Our results emphasize the gene-centered design, identifying KCNB1, PEAK1, SCG5, and TNIK as key targets of DNA methylation, as confirmed by mouse phenotype data and druggability resources. Moreover, an illustrative test of protein abundance in cell lines is conducted. Utilizing the Clinical Proteomic Tumor Analysis Consortium data, a positive correlation is established between the chromosomal instability scores and our generated score in tumor tissues. In addition, considering these correlation findings, the presence of identifiable methylation blocks in the co-occurring gain samples. Our findings also suggest that upstream molecular drivers may influence this pathway enrichment score, potentially leading to dysregulated methylation associated with weight loss. In summary, DNA methylation analysis not only identifies functional targets but also uncovers new gene-disease connections.

摘要

体重减轻是癌症患者公认的不良生存因素,但有效的生物标志物和靶向治疗方法仍然难以捉摸。在本研究中,我们使用Illumina EPIC阵列收集骨骼肌、非癌组织和癌组织,以鉴定与减肥手术后体重减轻相关的保守DNA甲基化探针。接下来,评估探针的一致性,然后将探针整合到一个可推广的通路富集评分中。我们的结果强调了以基因为中心的设计,确定KCNB1、PEAK1、SCG5和TNIK为DNA甲基化的关键靶点,小鼠表型数据和药物可及性资源证实了这一点。此外,还对细胞系中的蛋白质丰度进行了示例性测试。利用临床蛋白质组肿瘤分析联盟的数据,在肿瘤组织中建立了染色体不稳定性评分与我们生成的评分之间的正相关。此外,考虑到这些相关性发现,在同时出现的增益样本中存在可识别的甲基化块。我们的研究结果还表明,上游分子驱动因素可能会影响这一通路富集评分,可能导致与体重减轻相关的甲基化失调。总之,DNA甲基化分析不仅能识别功能靶点,还能揭示新的基因与疾病的联系。

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本文引用的文献

1
Different effects of bariatric surgery on epigenetic plasticity in skeletal muscle of individuals with and without type 2 diabetes.肥胖症手术对 2 型糖尿病患者和非 2 型糖尿病患者骨骼肌表观遗传可塑性的不同影响。
Diabetes Metab. 2024 Sep;50(5):101561. doi: 10.1016/j.diabet.2024.101561. Epub 2024 Jul 6.
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Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC v1.0 BeadChip microarrays.Illumina MethylationEPIC v1.0 BeadChip 微阵列上 DNA 甲基化探针可靠性的批判性评估。
Epigenetics. 2024 Dec;19(1):2333660. doi: 10.1080/15592294.2024.2333660. Epub 2024 Apr 2.
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Cancer cachexia: biomarkers and the influence of age.
癌症恶病质:生物标志物和年龄的影响。
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Potential Role of DNA Methylation as a Driver of Plastic Responses to the Environment Across Cells, Organisms, and Populations.DNA 甲基化作为跨细胞、生物和种群对环境的可塑性反应的驱动力的潜在作用。
Genome Biol Evol. 2024 Feb 1;16(2). doi: 10.1093/gbe/evae022.
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Conumee 2.0: enhanced copy-number variation analysis from DNA methylation arrays for humans and mice.Conumee 2.0:人类和小鼠 DNA 甲基化阵列的增强拷贝数变异分析。
Bioinformatics. 2024 Feb 1;40(2). doi: 10.1093/bioinformatics/btae029.
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Proteogenomic data and resources for pan-cancer analysis.泛癌分析的蛋白质基因组学数据和资源。
Cancer Cell. 2023 Aug 14;41(8):1397-1406. doi: 10.1016/j.ccell.2023.06.009.
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Cancer aneuploidies are shaped primarily by effects on tumour fitness.癌症非整倍体主要由对肿瘤适应性的影响所决定。
Nature. 2023 Jul;619(7971):793-800. doi: 10.1038/s41586-023-06266-3. Epub 2023 Jun 28.
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Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness.组织病理学和蛋白质基因组学异质性揭示了透明细胞肾细胞癌侵袭性的特征。
Cancer Cell. 2023 Jan 9;41(1):139-163.e17. doi: 10.1016/j.ccell.2022.12.001. Epub 2022 Dec 22.
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DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits.在不同的人类组织中进行 DNA 甲基化 QTL 图谱绘制为遗传变异与复杂性状之间提供了分子联系。
Nat Genet. 2023 Jan;55(1):112-122. doi: 10.1038/s41588-022-01248-z. Epub 2022 Dec 12.
10
Machine learning-featured Secretogranin V is a circulating diagnostic biomarker for pancreatic adenocarcinomas associated with adipopenia.具有机器学习特征的嗜铬粒蛋白V是一种与脂肪减少相关的胰腺腺癌循环诊断生物标志物。
Front Oncol. 2022 Aug 17;12:942774. doi: 10.3389/fonc.2022.942774. eCollection 2022.