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Dong H, Sun Y, Nie L, Cui A, Zhao P, Leung WK, Wang Q. Metabolic memory: mechanisms and diseases. Signal Transduct Target Ther 2024; 9:38. [PMID: 38413567 PMCID: PMC10899265 DOI: 10.1038/s41392-024-01755-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/29/2024] Open
Abstract
Metabolic diseases and their complications impose health and economic burdens worldwide. Evidence from past experimental studies and clinical trials suggests our body may have the ability to remember the past metabolic environment, such as hyperglycemia or hyperlipidemia, thus leading to chronic inflammatory disorders and other diseases even after the elimination of these metabolic environments. The long-term effects of that aberrant metabolism on the body have been summarized as metabolic memory and are found to assume a crucial role in states of health and disease. Multiple molecular mechanisms collectively participate in metabolic memory management, resulting in different cellular alterations as well as tissue and organ dysfunctions, culminating in disease progression and even affecting offspring. The elucidation and expansion of the concept of metabolic memory provides more comprehensive insight into pathogenic mechanisms underlying metabolic diseases and complications and promises to be a new target in disease detection and management. Here, we retrace the history of relevant research on metabolic memory and summarize its salient characteristics. We provide a detailed discussion of the mechanisms by which metabolic memory may be involved in disease development at molecular, cellular, and organ levels, with emphasis on the impact of epigenetic modulations. Finally, we present some of the pivotal findings arguing in favor of targeting metabolic memory to develop therapeutic strategies for metabolic diseases and provide the latest reflections on the consequences of metabolic memory as well as their implications for human health and diseases.
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Affiliation(s)
- Hao Dong
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yuezhang Sun
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Lulingxiao Nie
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Aimin Cui
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Pengfei Zhao
- Periodontology and Implant Dentistry Division, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China
| | - Wai Keung Leung
- Periodontology and Implant Dentistry Division, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China
| | - Qi Wang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
- Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
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Chun JM, Kim JS, Kim C. Integrated Analysis of DNA Methylation and Gene Expression Profiles in a Rat Model of Osteoarthritis. Int J Mol Sci 2024; 25:594. [PMID: 38203768 PMCID: PMC10778961 DOI: 10.3390/ijms25010594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Osteoarthritis (OA) is common and affected by several factors, such as age, weight, sex, and genetics. The pathogenesis of OA remains unclear. Therefore, using a rat model of monosodium iodoacetate (MIA)-induced OA, we examined genomic-wide DNA methylation using methyl-seq and characterized the transcriptome using RNA-seq in the articular cartilage tissue from a negative control (NC) and MIA-induced rats. We identified 170 genes (100 hypomethylated and upregulated genes and 70 hypermethylated and downregulated genes) regulated by DNA methylation in OA. DNA methylation-regulated genes were enriched in functions related to focal adhesion, extracellular matrix (ECM)-receptor interaction and the PI3K-Akt and Hippo signaling pathways. Functions related to extracellular matrix organization, extracellular matrix proteoglycans, and collagen formation were involved in OA. A molecular and protein-protein network was constructed using methylated expression-correlated genes. Erk1/2 was a downstream target of OA-induced changes in DNA methylation and RNA expression. We found that the integrin subunit alpha 2 (ITGA2) gene is important in focal adhesion, alpha6-beta4 integrin signaling, and the inflammatory response pathway in OA. Overall, gene expression changes because DNA methylation influences OA pathogenesis. ITGA2, whose gene expression changes are regulated by DNA methylation during OA onset, is a candidate gene. Our findings provide insights into the epigenetic targets of OA processes in rats.
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Affiliation(s)
- Jin Mi Chun
- Digital Health Research Division, Korea Institute of Oriental Medicine, Yuseong-daero 1672, Daejeon 34054, Republic of Korea;
| | - Joong-Sun Kim
- College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Chul Kim
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea
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Hao J, Liu Y. Epigenetics of methylation modifications in diabetic cardiomyopathy. Front Endocrinol (Lausanne) 2023; 14:1119765. [PMID: 37008904 PMCID: PMC10050754 DOI: 10.3389/fendo.2023.1119765] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
Type 2 diabetes is one of the most common metabolic diseases with complications including diabetic cardiomyopathy and atherosclerotic cardiovascular disease. Recently, a growing body of research has revealed that the complex interplay between epigenetic changes and the environmental factors may significantly contribute to the pathogenesis of cardiovascular complications secondary to diabetes. Methylation modifications, including DNA methylation and histone methylation among others, are important in developing diabetic cardiomyopathy. Here we summarized the literatures of studies focusing on the role of DNA methylation, and histone modifications in microvascular complications of diabetes and discussed the mechanism underlying these disorders, to provide the guidance for future research toward an integrated pathophysiology and novel therapeutic strategies to treat or prevent this frequent pathological condition.
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Affiliation(s)
- Jing Hao
- Department of Emergency, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yao Liu
- Department of Pharmacy, Children’s Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Yao Liu,
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Baek SJ, Lee S, Jin HJ. Supplementary data for genome-wide DNA methylation and gene expression analysis of PBMCs in patients with metabolic syndrome. Data Brief 2022; 42:108183. [PMID: 35496480 PMCID: PMC9048064 DOI: 10.1016/j.dib.2022.108183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/07/2022] [Accepted: 04/08/2022] [Indexed: 11/20/2022] Open
Abstract
This supplementary data supports the research article 'Genome-wide DNA methylation profiling reveals candidate biomarkers and probable molecular mechanism of metabolic syndrome' (Baek et al., in press). To obtain these data, 32 participants with metabolic syndrome (MetS) were enrolled in the associated study. We collected peripheral blood mononuclear cells (PBMCs) from 11 patients with MetS and nine controls and compared genome-wide gene expression and DNA methylation signatures. The remaining 12 participants were used for the experimental validation of the candidate groups. We provide the raw, analyzed, and filtered genome-wide DNA methylation data, obtained using the Infinium Human MethylationEPIC BeadChIP array, and whole transcriptome sequencing data (accession number GSE181647). We list the differentially expressed and differentially methylated genes and their biological functions. These data can serve as a basis for screening appropriate epigenetic biomarkers for MetS.
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Affiliation(s)
- Su-Jin Baek
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea
| | - Siwoo Lee
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea
| | - Hee-Jeong Jin
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea
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