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From parental responsibility towards mutual understanding: reimagining the employment of epigenetic knowledge 从父母责任到相互理解:重新认识表观遗传知识的应用
Pub Date : 2024-06-06 DOI: 10.1186/s43682-024-00026-8
Emma Moormann
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引用次数: 0
Assessing the effect of childbearing on blood DNA methylation through comparison of parous and nulliparous females 通过比较parous和nulliparous女性,评估生育对血液DNA甲基化的影响
Pub Date : 2024-04-10 DOI: 10.1186/s43682-024-00025-9
Su Chen, Miranda Johs, Wilfried Karmaus, John W. Holloway, Parnian Kheirkhah Rahimabad, J. Goodrich, Karen E. Peterson, D. Dolinoy, S. Arshad, S. Ewart
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引用次数: 0
Changes in histone lysine acetylation, but not DNA methylation during facultative hibernation in Syrian hamster liver 叙利亚仓鼠肝脏中组蛋白赖氨酸乙酰化的变化,而非 DNA 甲基化的变化
Pub Date : 2024-01-09 DOI: 10.1186/s43682-023-00024-2
Marloes M. Oosterhof, Louis Coussement, Alienke van Pijkeren, Marcel Kwiatkowski, M. R. Zwinderman, Frank J. Dekker, Tim de Meyer, Vera A. Reitsema, Rainer Bischoff, Victor Guryev, H. Bouma, Rob H. Henning, Marianne G. Rots
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引用次数: 0
Gestational exposure to environmental chemicals and epigenetic alterations in the placenta and cord blood mononuclear cells. 妊娠期接触环境化学物质与胎盘和脐带血单核细胞的表观遗传学改变。
Pub Date : 2024-01-01 Epub Date: 2024-06-30 DOI: 10.1186/s43682-024-00027-7
Jagadeesh Puvvula, Joseph M Braun, Emily A DeFranco, Shuk-Mei Ho, Yuet-Kin Leung, Shouxiong Huang, Xiang Zhang, Ann M Vuong, Stephani S Kim, Zana Percy, Antonia M Calafat, Julianne C Botelho, Aimin Chen

Background: Exposure to environmental chemicals such as phthalates, phenols, and polycyclic aromatic hydrocarbons (PAHs) during pregnancy can increase the risk of adverse newborn outcomes. We explored the associations between maternal exposure to select environmental chemicals and DNA methylation in cord blood mononuclear cells (CBMC) and placental tissue (maternal and fetal sides) to identify potential mechanisms underlying these associations.

Method: This study included 75 pregnant individuals who planned to give birth at the University of Cincinnati Hospital between 2014 and 2017. Maternal urine samples during the delivery visit were collected and analyzed for 37 biomarkers of phenols (12), phthalates (13), phthalate replacements (4), and PAHs (8). Cord blood and placenta tissue (maternal and fetal sides) were also collected to measure the DNA methylation intensities using the Infinium HumanMethylation450K BeadChip. We used linear regression, adjusting for potential confounders, to assess CpG-specific methylation changes in CBMC (n = 54) and placenta [fetal (n = 67) and maternal (n = 68) sides] associated with gestational chemical exposures (29 of 37 biomarkers measured in this study). To account for multiple testing, we used a false discovery rate q-values < 0.05 and presented results by limiting results with a genomic inflation factor of 1±0.5. Additionally, gene set enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomics pathways.

Results: Among the 29 chemical biomarkers assessed for differential methylation, maternal concentrations of PAH metabolites (1-hydroxynaphthalene, 2-hydroxyfluorene, 4-hydroxyphenanthrene, 1-hydroxypyrene), monocarboxyisononyl phthalate, mono-3-carboxypropyl phthalate, and bisphenol A were associated with altered methylation in placenta (maternal or fetal side). Among exposure biomarkers associated with epigenetic changes, 1-hydroxynaphthalene, and mono-3-carboxypropyl phthalate were consistently associated with differential CpG methylation in the placenta. Gene enrichment analysis indicated that maternal 1-hydroxynaphthalene was associated with lipid metabolism and cellular processes of the placenta. Additionally, mono-3-carboxypropyl phthalate was associated with organismal systems and genetic information processing of the placenta.

Conclusion: Among the 29 chemical biomarkers assessed during delivery, 1-hydroxynaphthalene and mono-3-carboxypropyl phthalate were associated with DNA methylation in the placenta.

Supplementary information: The online version contains supplementary material available at 10.1186/s43682-024-00027-7.

背景:孕期接触邻苯二甲酸盐、酚类和多环芳烃等环境化学物质会增加新生儿不良结局的风险。我们探讨了母体暴露于特定环境化学物质与脐带血单核细胞(CBMC)和胎盘组织(母体和胎儿侧)DNA甲基化之间的关联,以确定这些关联的潜在机制:本研究纳入了 2014 年至 2017 年期间计划在辛辛那提大学医院分娩的 75 名孕妇。在产检期间收集了母体尿液样本,并对其中的 37 种生物标记物进行了分析,包括酚类(12 种)、邻苯二甲酸盐(13 种)、邻苯二甲酸盐替代物(4 种)和多环芳烃(8 种)。我们还收集了脐带血和胎盘组织(母体和胎儿),使用 Infinium HumanMethylation450K BeadChip 芯片测量 DNA 甲基化强度。我们使用线性回归,调整潜在的混杂因素,评估 CBMC(n = 54)和胎盘[胎儿侧(n = 67)和母体侧(n = 68)]中与妊娠期化学品暴露相关的 CpG 特异性甲基化变化(本研究测量了 37 个生物标志物中的 29 个)。为了考虑多重检验,我们使用了假发现率 q 值:在评估甲基化差异的 29 种化学生物标记物中,母体多环芳烃代谢物(1-羟基萘、2-羟基芴、4-羟基菲、1-羟基芘)、邻苯二甲酸单羧异壬酯、邻苯二甲酸单-3-羧丙酯和双酚 A 的浓度与胎盘(母体或胎儿侧)甲基化改变有关。在与表观遗传学变化相关的暴露生物标记物中,1-羟基萘和邻苯二甲酸单-3-羧丙酯始终与胎盘中不同的 CpG 甲基化相关。基因富集分析表明,母体中的 1-hydroxynaphthalene 与胎盘的脂质代谢和细胞过程有关。此外,邻苯二甲酸单-3-羧丙基酯与胎盘的机体系统和遗传信息处理有关:结论:在分娩过程中评估的 29 种化学生物标记物中,1-羟基萘和邻苯二甲酸单-3-羧丙酯与胎盘中的 DNA 甲基化有关:在线版本包含补充材料,可在10.1186/s43682-024-00027-7上查阅。
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引用次数: 0
Navigating epigenetic epidemiology publications 浏览表观遗传流行病学出版物
Pub Date : 2023-11-22 DOI: 10.1186/s43682-023-00023-3
Weisen Yu, E. Drzymalla, Matheus Fernandes Gyorfy, M. Khoury, Yan V. Sun, M. Gwinn
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引用次数: 0
Connections between cross-tissue and intra-tissue biomarkers of aging biology in older adults 老年人衰老生物学的跨组织和组织内生物标志物之间的联系
Pub Date : 2023-10-12 DOI: 10.1186/s43682-023-00022-4
R. Waziry, Y. Gu, O. Williams, S. Hägg
Abstract Background Saliva measures are generally more accessible than blood, especially in vulnerable populations. However, connections between aging biology biomarkers in different body tissues remain unknown. Methods The present study included individuals ( N = 2406) who consented for saliva and blood draw in the Health and Retirement Telomere length study in 2008 and the Venous blood study in 2016 who had complete data for both tissues. We assessed biological aging based on telomere length in saliva and DNA methylation and physiology measures in blood. DNA methylation clocks combine information from CpGs to produce the aging measures representative of epigenetic aging in humans. We analyzed DNA methylation clocks proposed by Horvath (353 CpG sites), Hannum (71 CpG sites), Levine or PhenoAge, (513 CpG sites), GrimAge, (epigenetic surrogate markers for select plasma proteins), Horvath skin and blood (391 CpG sites), Lin (99 CpG sites), Weidner (3 CpG sites), and VidalBralo (8 CpG sites). Physiology measures (referred to as phenotypic age) included albumin, creatinine, glucose, [log] C-reactive protein, lymphocyte percent, mean cell volume, red blood cell distribution width, alkaline phosphatase, and white blood cell count. The phenotypic age algorithm is based on parametrization of Gompertz proportional hazard models. Average telomere length was assayed using quantitative PCR (qPCR) by comparing the telomere sequence copy number in each patient’s sample (T) to a single-copy gene copy number (S). The resulting T/S ratio was proportional to telomere length, mean. Within individual, relationships between aging biology measures in blood and saliva and variations according to sex were assessed. Results Saliva-based telomere length showed inverse associations with both physiology-based and DNA methylation-based aging biology biomarkers in blood. Longer saliva-based telomere length was associated with 1 to 4 years slower biological aging based on blood-based biomarkers with the highest magnitude being Weidner ( β = − 3.97, P = 0.005), GrimAge ( β = − 3.33, P < 0.001), and Lin ( β = − 3.45, P = 0.008) biomarkers of DNA methylation. Conclusions There are strong connections between aging biology biomarkers in saliva and blood in older adults. Changes in telomere length vary with changes in DNA methylation and physiology biomarkers of aging biology. We observed variations in the relationship between each body system represented by physiology biomarkers and biological aging, particularly at the DNA methylation level. These observations provide novel opportunities for integration of both blood-based and saliva-based biomarkers in clinical care of vulnerable and clinically difficult to reach populations where either or both tissues would be accessible for clinical monitoring purposes.
唾液检测通常比血液检测更容易获得,特别是在弱势人群中。然而,不同身体组织中衰老生物学生物标志物之间的联系尚不清楚。方法本研究纳入2008年健康与退休端粒长度研究和2016年静脉血研究中同意唾液和血液采集的个体(N = 2406),这些个体在这两个组织中都有完整的数据。我们根据唾液中的端粒长度和血液中的DNA甲基化和生理测量来评估生物衰老。DNA甲基化时钟结合来自CpGs的信息来产生代表人类表观遗传衰老的衰老措施。我们分析了Horvath(353个CpG位点)、Hannum(71个CpG位点)、Levine或PhenoAge(513个CpG位点)、GrimAge(选择血浆蛋白的表观遗传替代标记)、Horvath皮肤和血液(391个CpG位点)、Lin(99个CpG位点)、Weidner(3个CpG位点)和VidalBralo(8个CpG位点)提出的DNA甲基化时钟。生理指标(称为表型年龄)包括白蛋白、肌酐、葡萄糖、[log] c反应蛋白、淋巴细胞百分比、平均细胞体积、红细胞分布宽度、碱性磷酸酶和白细胞计数。表型年龄算法基于Gompertz比例风险模型的参数化。使用定量PCR (qPCR)通过比较每个患者样本中的端粒序列拷贝数(T)与单拷贝基因拷贝数(S)来测定平均端粒长度。得到的T/S比率与端粒长度(平均值)成正比。在个体内部,评估了血液和唾液中的衰老生物学指标与性别差异之间的关系。结果基于唾液的端粒长度与血液中基于生理和DNA甲基化的衰老生物学标志物呈负相关。基于唾液的端粒长度越长,基于血液的生物标志物的生物衰老速度越慢1至4年,其中幅度最大的是Weidner (β = - 3.97, P = 0.005), GrimAge (β = - 3.33, P <0.001)和Lin (β = - 3.45, P = 0.008) DNA甲基化生物标志物。结论老年人唾液和血液中的衰老生物学标志物之间存在很强的联系。端粒长度的变化随DNA甲基化和衰老生物学生理生物标志物的变化而变化。我们观察到生理生物标志物代表的每个身体系统与生物衰老之间关系的变化,特别是在DNA甲基化水平上。这些观察结果为在临床护理中整合基于血液和基于唾液的生物标志物提供了新的机会,这些生物标志物在临床护理中是脆弱的,并且临床难以到达的人群,其中一种或两种组织都可以用于临床监测目的。
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引用次数: 0
Comprehensive evaluation of the Infinium human MethylationEPIC v2 BeadChip Infinium人MethylationEPIC v2头芯片的综合评价
Pub Date : 2023-09-27 DOI: 10.1186/s43682-023-00021-5
Diljeet Kaur, Sol Moe Lee, David Goldberg, Nathan J. Spix, Toshinori Hinoue, Hong-Tao Li, Varun B. Dwaraka, Ryan Smith, Hui Shen, Gangning Liang, Nicole Renke, Peter W. Laird, Wanding Zhou
Abstract Infinium Methylation BeadChips are widely used to profile DNA cytosine modifications in large cohort studies for reasons of cost-effectiveness, accurate quantification, and user-friendly data analysis in characterizing these canonical epigenetic marks. In this work, we conducted a comprehensive evaluation of the updated Infinium MethylationEPIC v2 BeadChip (EPICv2). Our evaluation revealed that EPICv2 offers significant improvements over its predecessors, including expanded enhancer coverage, applicability to diverse ancestry groups, support for low-input DNA down to one nanogram, coverage of existing epigenetic clocks, cell type deconvolution panels, and human trait associations, while maintaining accuracy and reproducibility. Using EPICv2, we were able to identify epigenome and sequence signatures in cell line models of DNMT and SETD2 loss and/or hypomorphism. Furthermore, we provided probe-wise evaluation and annotation to facilitate the use of new features on this array for studying the interplay between somatic mutations and epigenetic landscape in cancer genomics. In conclusion, EPICv2 provides researchers with a valuable tool for studying epigenetic modifications and their role in development and disease.
Infinium Methylation BeadChips在大型队列研究中被广泛用于分析DNA胞嘧啶修饰,因为它具有成本效益、准确的定量和用户友好的数据分析,可以表征这些典型的表观遗传标记。在这项工作中,我们对更新的Infinium MethylationEPIC v2 BeadChip (EPICv2)进行了全面的评估。我们的评估显示,EPICv2在保持准确性和可重复性的同时,比其前辈有了显著的改进,包括扩大了增强子的覆盖范围,适用于不同的祖先群体,支持低输入DNA至1纳克,覆盖现有的表观遗传时钟,细胞类型反卷积面板和人类特征关联。使用EPICv2,我们能够在DNMT和SETD2缺失和/或半形的细胞系模型中识别表观基因组和序列特征。此外,我们还提供了探针评估和注释,以促进利用该阵列的新特征来研究癌症基因组学中体细胞突变与表观遗传景观之间的相互作用。总之,EPICv2为研究表观遗传修饰及其在发育和疾病中的作用提供了一个有价值的工具。
{"title":"Comprehensive evaluation of the Infinium human MethylationEPIC v2 BeadChip","authors":"Diljeet Kaur, Sol Moe Lee, David Goldberg, Nathan J. Spix, Toshinori Hinoue, Hong-Tao Li, Varun B. Dwaraka, Ryan Smith, Hui Shen, Gangning Liang, Nicole Renke, Peter W. Laird, Wanding Zhou","doi":"10.1186/s43682-023-00021-5","DOIUrl":"https://doi.org/10.1186/s43682-023-00021-5","url":null,"abstract":"Abstract Infinium Methylation BeadChips are widely used to profile DNA cytosine modifications in large cohort studies for reasons of cost-effectiveness, accurate quantification, and user-friendly data analysis in characterizing these canonical epigenetic marks. In this work, we conducted a comprehensive evaluation of the updated Infinium MethylationEPIC v2 BeadChip (EPICv2). Our evaluation revealed that EPICv2 offers significant improvements over its predecessors, including expanded enhancer coverage, applicability to diverse ancestry groups, support for low-input DNA down to one nanogram, coverage of existing epigenetic clocks, cell type deconvolution panels, and human trait associations, while maintaining accuracy and reproducibility. Using EPICv2, we were able to identify epigenome and sequence signatures in cell line models of DNMT and SETD2 loss and/or hypomorphism. Furthermore, we provided probe-wise evaluation and annotation to facilitate the use of new features on this array for studying the interplay between somatic mutations and epigenetic landscape in cancer genomics. In conclusion, EPICv2 provides researchers with a valuable tool for studying epigenetic modifications and their role in development and disease.","PeriodicalId":72947,"journal":{"name":"Epigenetics communications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135538584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Being against reductionism regarding epigenetics 反对表观遗传学的还原论
Pub Date : 2023-05-18 DOI: 10.1186/s43682-023-00020-6
C. Dupras
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引用次数: 1
Will epigenetics ever be a biosocial science? A reply to Chiapperino and Paneni 表观遗传学会成为一门生物社会科学吗?对恰佩里诺和帕内尼的答复
Pub Date : 2023-05-17 DOI: 10.1186/s43682-023-00018-0
S. Zaina
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引用次数: 1
A longitudinal epigenome-wide association study of preeclamptic and normotensive pregnancy. 对先兆子痫和正常血压妊娠的全表观基因组关联纵向研究。
Pub Date : 2023-01-01 Epub Date: 2023-01-26 DOI: 10.1186/s43682-022-00014-w
Shuwei Liu, Haoyi Fu, Mitali Ray, Lacey W Heinsberg, Yvette P Conley, Cindy M Anderson, Carl A Hubel, James M Roberts, Arun Jeyabalan, Daniel E Weeks, Mandy J Schmella

Background: While preeclampsia (PE) is a leading cause of pregnancy-related morbidity/mortality, its underlying mechanisms are not fully understood. DNA methylation (DNAm) is a dynamic regulator of gene expression that may offer insight into PE pathophysiology and/or serve as a biomarker (e.g., risk, subtype, a therapeutic response). This study's purpose was to evaluate for differences in blood-based DNAm across all trimesters between individuals eventually diagnosed with PE (cases) and individuals who remained normotensive throughout pregnancy, did not develop proteinuria, and birthed a normally grown infant (controls).

Results: In the discovery phase, longitudinal, genome-wide DNAm data were generated across three trimesters of pregnancy in 56 participants (n=28 cases, n=28 controls) individually matched on self-identified race, pre-pregnancy body mass index, smoking, and gestational age at sample collection. An epigenome-wide association study (EWAS) was conducted, using surrogate variable analysis to account for unwanted sources of variation. No CpGs met the genome-wide significance p value threshold of 9×10-8, but 16 CpGs (trimester 1: 5; trimester 2: 1; trimester 3: 10) met the suggestive significance threshold of 1×10-5. DNAm data were also evaluated for differentially methylated regions (DMRs) by PE status. Three DMRs in each trimester were significant after Bonferonni-adjustment. Since only third-trimester samples were available from an independent replication sample (n=64 cases, n=50 controls), the top suggestive hits from trimester 3 (cg16155413 and cg21882990 associated with TRAF3IP2-AS1/TRAF3IP2 genes, which also made up the top DMR) were carried forward for replication. During replication, DNAm data were also generated for validation purposes from discovery phase third trimester samples. While significant associations between DNAm and PE status were observed at both sites in the validation sample, no associations between DNAm and PE status were observed in the independent replication sample.

Conclusions: The discovery phase findings for cg16155413/cg21882990 (TRAF3IP2-AS1/TRAF3IP2) were validated with a new platform but were not replicated in an independent sample. Given the differences in participant characteristics between the discovery and replication samples, we cannot rule out important signals for these CpGs. Additional research is warranted for cg16155413/cg21882990, as well as top hits in trimesters 1-2 and significant DMRs that were not examined in the replication phase.

背景:虽然子痫前期(PE)是妊娠相关发病率/死亡率的主要原因,但其潜在机制尚未完全明了。DNA 甲基化(DNAm)是基因表达的一个动态调节因子,可帮助了解子痫前期的病理生理学和/或作为生物标记物(如风险、亚型、治疗反应)。本研究的目的是评估最终被确诊为 PE 的患者(病例)与在整个孕期血压正常、未出现蛋白尿并生育正常婴儿的患者(对照组)在所有孕期的血液 DNAm 差异:在发现阶段,对 56 名参与者(28 名病例,28 名对照组)进行了纵向全基因组 DNAm 数据采集,这些参与者在采集样本时的自认种族、孕前体重指数、吸烟和胎龄都是单独匹配的。采用替代变量分析法对不需要的变异来源进行了表观基因组关联研究(EWAS)。没有 CpGs 达到 9×10-8 的全基因组显著性 p 值阈值,但有 16 个 CpGs(孕期 1:5;孕期 2:1;孕期 3:10)达到 1×10-5 的提示性显著性阈值。DNAm 数据还按 PE 状态评估了不同甲基化区域(DMRs)。经 Bonferonni-adjustment 校正后,每个孕期有三个 DMRs 具有显著性。由于一个独立的复制样本(n=64 个病例,n=50 个对照)中只有第三个妊娠期的样本,因此将第三个妊娠期的最高提示点(与 TRAF3IP2-AS1/TRAF3IP2 基因相关的 cg16155413 和 cg21882990,它们也构成了最高 DMR)进行复制。在复制过程中,为了验证目的,还从发现阶段的第三孕期样本中生成了 DNAm 数据。虽然在验证样本的两个位点上都观察到了 DNAm 与 PE 状态之间的明显关联,但在独立的复制样本中没有观察到 DNAm 与 PE 状态之间的关联:结论:cg16155413/cg21882990(TRAF3IP2-AS1/TRAF3IP2)的发现阶段研究结果通过新平台得到了验证,但未在独立样本中得到复制。鉴于发现样本和复制样本的参与者特征不同,我们不能排除这些 CpGs 的重要信号。对于 cg16155413/cg21882990,以及 1-2 三期中的顶点和复制阶段未检测的重要 DMR,我们还需要进行更多的研究。
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引用次数: 0
期刊
Epigenetics communications
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