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Słupecka-Ziemilska M, Wychowański P, Puzianowska-Kuznicka M. Gestational Diabetes Mellitus Affects Offspring's Epigenome. Is There a Way to Reduce the Negative Consequences? Nutrients 2020; 12:nu12092792. [PMID: 32933073 PMCID: PMC7551316 DOI: 10.3390/nu12092792] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/05/2020] [Accepted: 09/10/2020] [Indexed: 12/31/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is the most common pregnancy complication worldwide and may result in short-term and long-term consequences for offspring. The present review highlights evidence of epigenetic programming, mostly from human studies, which occurs in offspring exposed to maternal GDM during different stages of development, paying special attention to the differences in sensitivity of offspring to maternal hyperglycemia as a result of sex-related factors. We also aim to answer the following question: If these epigenetic changes are constant throughout the lifetime of the offspring, how do they present phenotypically?
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Affiliation(s)
- Monika Słupecka-Ziemilska
- Department of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland;
- Correspondence: ; Tel.: +48-2-2608-6401; Fax: +48-2-2608-6410
| | - Piotr Wychowański
- Department of Oral Surgery, Medical University of Warsaw, Binickiego 6, 02-097 Warsaw, Poland;
| | - Monika Puzianowska-Kuznicka
- Department of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland;
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 61/63 Kleczewska Street, 01-826 Warsaw, Poland
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Zhu Z, Cao F, Li X. Epigenetic Programming and Fetal Metabolic Programming. Front Endocrinol (Lausanne) 2019; 10:764. [PMID: 31849831 PMCID: PMC6901800 DOI: 10.3389/fendo.2019.00764] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 10/21/2019] [Indexed: 12/30/2022] Open
Abstract
Fetal metabolic programming caused by the adverse intrauterine environment can induce metabolic syndrome in adult offspring. Adverse intrauterine environment introduces fetal long-term relatively irreversible changes in organs and metabolism, and thus causes fetal metabolic programming leading metabolic syndrome in adult offspring. Fetal metabolic programming of obesity and insulin resistance plays a key role in this process. The mechanism of fetal metabolic programming is still not very clear. It is suggested that epigenetic programming, also induced by the adverse intrauterine environment, is a critical underlying mechanism of fetal metabolic programming. Fetal epigenetic programming affects gene expression changes and cellular function through epigenetic modifications without DNA nucleotide sequence changes. Epigenetic modifications can be relatively stably retained and transmitted through mitosis and generations, and thereby induce the development of metabolic syndrome in adult offspring. This manuscript provides an overview of the critical role of epigenetic programming in fetal metabolic programming.
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Affiliation(s)
- Ziqiang Zhu
- Children's Hospital of Soochow University, Suzhou, China
- Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, China
| | - Fang Cao
- Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, China
| | - Xiaozhong Li
- Children's Hospital of Soochow University, Suzhou, China
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Li G, Wang D, Ma W, An K, Liu Z, Wang X, Yang C, Du F, Han X, Chang S, Yu H, Zhang Z, Zhao Z, Zhang Y, Wang J, Sun Y. Transcriptomic and epigenetic analysis of breast cancer stem cells. Epigenomics 2018; 10:765-783. [PMID: 29480027 DOI: 10.2217/epi-2018-0008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
AIM Cancer stem cells (CSCs) drive triple-negative breast cancer recurrence via their properties of self-renewal, invasiveness and radio/chemotherapy resistance. This study examined how CSCs might sustain these properties. MATERIALS & METHODS Transcriptomes, DNA methylomes and histone modifications were compared between CSCs and non CSCs. RESULTS Transcriptome analysis revealed several pathways that were activated in CSCs, whereas cell cycle regulation pathways were inhibited. Cell development and signaling genes were differentially methylated, with histone methylation analysis suggesting distinct H3K4me2 and H3K27me3 enrichment profiles. An integrated analysis revealed several tumor suppressor genes downregulated in CSCs. CONCLUSION Differential activation of various signaling pathways and genes contributes to the tumor-promoting properties of CSCs. Therapeutic targets identified in the analysis may contribute to improving treatment options for patients.
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Affiliation(s)
- Guochao Li
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Dong Wang
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Wencui Ma
- Heze Third People's Hospital, Shandong 274031, PR China
| | - Ke An
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zongzhi Liu
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Xinyu Wang
- College of Bioinformatics Science & Technology, Harbin Medical University, Harbin 150081, PR China
| | - Caiyun Yang
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Fengxia Du
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Xiao Han
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Shuang Chang
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Hui Yu
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zilong Zhang
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zitong Zhao
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yan Zhang
- College of Bioinformatics Science & Technology, Harbin Medical University, Harbin 150081, PR China
| | - Junyun Wang
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yingli Sun
- Key Laboratory of Genomic & Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, PR China.,University of Chinese Academy of Sciences, Beijing 100049, PR China
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