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解析表观遗传密码:人类肾脏疾病发展过程中的 DNA 甲基化和染色质动态。

Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development.

机构信息

Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.

Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.

出版信息

Nat Commun. 2024 Jan 29;15(1):873. doi: 10.1038/s41467-024-45295-y.

Abstract

Epigenetic changes may fill a critical gap in our understanding of kidney disease development, as they not only reflect metabolic changes but are also preserved and transmitted during cell division. We conducted a genome-wide cytosine methylation analysis of 399 human kidney samples, along with single-nuclear open chromatin analysis on over 60,000 cells from 14 subjects, including controls, and diabetes and hypertension attributed chronic kidney disease (CKD) patients. We identified and validated differentially methylated positions associated with disease states, and discovered that nearly 30% of these alterations were influenced by underlying genetic variations, including variants known to be associated with kidney disease in genome-wide association studies. We also identified regions showing both methylation and open chromatin changes. These changes in methylation and open chromatin significantly associated gene expression changes, most notably those playing role in metabolism and expressed in proximal tubules. Our study further demonstrated that methylation risk scores (MRS) can improve disease state annotation and prediction of kidney disease development. Collectively, our results suggest a causal relationship between epigenetic changes and kidney disease pathogenesis, thereby providing potential pathways for the development of novel risk stratification methods.

摘要

表观遗传变化可能填补了我们对肾脏疾病发展理解的一个关键空白,因为它们不仅反映了代谢变化,而且在细胞分裂过程中得到保存和传递。我们对 399 个人类肾脏样本进行了全基因组胞嘧啶甲基化分析,并对 14 名受试者(包括对照和患有糖尿病和高血压引起的慢性肾脏病 (CKD) 的患者)的超过 60,000 个细胞进行了单核开放染色质分析。我们确定并验证了与疾病状态相关的差异甲基化位置,并发现这些改变中有近 30%受到潜在遗传变异的影响,包括全基因组关联研究中已知与肾脏疾病相关的变异。我们还发现了显示甲基化和开放染色质变化的区域。这些甲基化和开放染色质的变化与基因表达变化显著相关,尤其是那些在代谢中起作用并在近端肾小管中表达的基因。我们的研究进一步表明,甲基化风险评分 (MRS) 可以改善疾病状态注释和预测肾脏疾病的发展。总的来说,我们的结果表明,表观遗传变化与肾脏疾病的发病机制之间存在因果关系,从而为开发新的风险分层方法提供了潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c87/10824731/a1573e9a1479/41467_2024_45295_Fig1_HTML.jpg

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