Department of Critical Care, William Osler Health System, Brampton, ON, Canada.
Keenan Research Centre for Biomedical Science, St Michael's Hospital, Toronto, ON, Canada.
Crit Care Med. 2020 Feb;48(2):142-150. doi: 10.1097/CCM.0000000000004097.
Epigenetic alterations are an important regulator of gene expression in health and disease; however, epigenetic data in sepsis are lacking. To demonstrate proof of concept and estimate effect size, we performed the first epigenome-wide methylation analysis of whole blood DNA samples from a cohort of septic and nonseptic critically ill patients.
A nested case-control study using genomic DNA isolated from whole blood from septic (n = 66) and nonseptic (n = 68) critically ill patients on "Day 1" of ICU admission. Methylation patterns were identified using Illumina 450K arrays with percent methylation expressed as β values. After quality control, 134 participants and 414,818 autosomal cytosine-phosphate-guanine sites were used for epigenome-wide methylation analyses.
Tertiary care hospitals.
Critically ill septic and nonseptic patients.
Observational study.
A total of 668 differentially methylated regions corresponding to 443 genes were identified. Known sepsis-associated genes included complement component 3; angiopoietin 2; myeloperoxidase; lactoperoxidase; major histocompatibility complex, class I, A; major histocompatibility complex, class II, isotype DR β I; major histocompatibility complex, class I, C; and major histocompatibility complex, class II, isotype DQ β I. When compared with whole blood gene expression data from seven external datasets containing septic and nonseptic patients, 81% of the differentially methylated region-associated genes were differentially expressed in one or more datasets and 31% in three or more datasets. Functional analysis showed enrichment for antigen processing and presentation, methyltransferase activity, cell adhesion, and cell junctions. Analysis by weighted gene coexpression network analysis revealed DNA comethylation modules that were associated with clinical traits including severity of illness, need for vasopressors, and length of stay.
DNA methylation marks may provide important causal and potentially biomarker information in critically ill patients with sepsis.
表观遗传改变是健康和疾病中基因表达的重要调节因子;然而,脓毒症的表观遗传数据仍然缺乏。为了证明概念验证并估计效应大小,我们对脓毒症和非脓毒症危重患者队列的全血 DNA 样本进行了首次全基因组甲基化分析。
一项使用从 ICU 入院第 1 天的脓毒症(n = 66)和非脓毒症(n = 68)危重患者全血中分离的基因组 DNA 进行的巢式病例对照研究。使用 Illumina 450K 阵列确定甲基化模式,并用β值表示甲基化百分比。经过质量控制后,使用 134 名参与者和 414818 个常染色体胞嘧啶-磷酸-鸟嘌呤位点进行全基因组甲基化分析。
三级护理医院。
危重的脓毒症和非脓毒症患者。
观察性研究。
共鉴定出 668 个对应于 443 个基因的差异甲基化区域。已知与脓毒症相关的基因包括补体成分 3;血管生成素 2;髓过氧化物酶;乳过氧化物酶;主要组织相容性复合体,I 类,A;主要组织相容性复合体,II 类,DRβI 同种型;主要组织相容性复合体,I 类,C;和主要组织相容性复合体,II 类,DQβI 同种型。与包含脓毒症和非脓毒症患者的七个外部数据集的全血基因表达数据相比,差异甲基化区域相关基因中有 81%在一个或多个数据集中差异表达,31%在三个或更多数据集中差异表达。功能分析显示抗原加工和呈递、甲基转移酶活性、细胞黏附和细胞连接的富集。加权基因共表达网络分析的分析显示,与疾病严重程度、升压药需求和住院时间等临床特征相关的 DNA 共甲基化模块。
DNA 甲基化标记可能为脓毒症危重患者提供重要的因果和潜在的生物标志物信息。