Du Yuheng, Benny Paula A, Shao Yuchen, Schlueter Ryan J, Gurary Alexandra, Lum-Jones Annette, Lassiter Cameron B, AlAkwaa Fadhl M, Tiirikainen Maarit, Towner Dena, Ward W Steven, Garmire Lana X
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Obstetrics and Gynecology, University of Hawaii, Honolulu, HI 96826, USA.
Gigascience. 2025 Jan 6;14. doi: 10.1093/gigascience/giaf039.
Maternal obesity is a health concern that may predispose newborns to a high risk of medical problems later in life. To understand the intergenerational effect of maternal obesity, we hypothesized that the maternal obesity effect is mediated by epigenetic changes in the CD34+/CD38-/Lin- hematopoietic stem cells (uHSCs) in the offspring. To investigate this, we conducted a DNA methylation centric multiomics study. We measured DNA methylation and gene expression of the CD34+/CD38-/Lin- uHSCs and metabolomics of the cord blood, all from a multiethnic cohort from Kapiolani Medical Center for Women and Children in Honolulu, Hawaii (n=72, collected between 2016 and 2018).
Differential methylation analysis unveiled a global hypermethylation pattern in the maternal prepregnancy obese group (BH adjusted P < 0.05), after adjusting for major clinical confounders. KEGG pathway enrichment, WGCNA, and PPI analyses revealed that hypermethylated CpG sites were involved in critical biological processes, including cell cycle, protein synthesis, immune signaling, and lipid metabolism. Utilizing Shannon entropy on uHSCs methylation, we discerned notably higher quiescence of uHSCs impacted by maternal obesity. Additionally, the integration of multiomics data-including methylation, gene expression, and metabolomics-provided further evidence of dysfunctions in adipogenesis, erythropoietin production, cell differentiation, and DNA repair, aligning with the findings at the epigenetic level. Furthermore, we trained a random forest classifier using the CpG sites in the genes of the top pathways associated with maternal obesity, and applied it to predict cancer versus adjacent normal sample labels in 14 Cancer Genome Atlas (TCGA) cancer types. Five of 14 cancers showed balanced accuracy of 0.6 or higher: LUSC (0.87), PAAD (0.83), KIRC (0.71), KIRP (0.63) and BRCA (0.60).
This study revealed the significant correlation between prepregnancy maternal obesity and multiomics-level molecular changes in the uHSCs of offspring, particularly at the DNA methylation level. These maternal-obesity-associated epigenetic markers in uHSCs may contribute to increased risks in certain cancers of the offspring. Larger and multicenter cohort validation studies are warranted to follow up the current single-site study.
孕妇肥胖是一个健康问题,可能使新生儿在日后生活中面临较高的医疗问题风险。为了解孕妇肥胖的代际效应,我们假设孕妇肥胖效应是由后代CD34+/CD38-/Lin-造血干细胞(uHSCs)中的表观遗传变化介导的。为了对此进行研究,我们开展了一项以DNA甲基化为中心的多组学研究。我们测量了来自夏威夷檀香山卡皮奥拉尼妇女儿童医院的一个多民族队列(n = 72,于2016年至2018年收集)的CD34+/CD38-/Lin- uHSCs的DNA甲基化和基因表达以及脐带血的代谢组学。
在调整主要临床混杂因素后,差异甲基化分析揭示了孕前肥胖孕妇组的整体高甲基化模式(BH校正P < 0.05)。KEGG通路富集、WGCNA和PPI分析表明,高甲基化的CpG位点参与了关键的生物学过程,包括细胞周期、蛋白质合成、免疫信号传导和脂质代谢。利用uHSCs甲基化的香农熵,我们发现受孕妇肥胖影响的uHSCs的静息状态明显更高。此外,多组学数据(包括甲基化、基因表达和代谢组学)的整合进一步证明了脂肪生成、促红细胞生成素产生、细胞分化和DNA修复功能障碍,这与表观遗传水平的研究结果一致。此外,我们使用与孕妇肥胖相关的顶级通路基因中的CpG位点训练了一个随机森林分类器,并将其应用于预测14种癌症基因组图谱(TCGA)癌症类型中的癌症样本与相邻正常样本标签。14种癌症中有5种的平衡准确率达到0.6或更高:肺鳞状细胞癌(LUSC,0.87)、胰腺腺癌(PAAD,0.83)、肾透明细胞癌(KIRC,0.71)、肾乳头状细胞癌(KIRP,0.63)和乳腺癌(BRCA,0.60)。
本研究揭示了孕前孕妇肥胖与后代uHSCs中多组学水平的分子变化之间的显著相关性,特别是在DNA甲基化水平。uHSCs中这些与孕妇肥胖相关的表观遗传标记可能会增加后代患某些癌症的风险。有必要开展更大规模的多中心队列验证研究来跟进当前的单中心研究。