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Han G, Hu K, Luo T, Wang W, Zhang D, Ouyang L, Liu X, Liu J, Wu Y, Liang J, Ling J, Chen Y, Xuan R, Zhang J, Yu P. Research progress of non-coding RNA regulating the role of PANoptosis in diabetes mellitus and its complications. Apoptosis 2025; 30:516-536. [PMID: 39755822 DOI: 10.1007/s10495-024-02066-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2024] [Indexed: 01/06/2025]
Abstract
Diabetes is a chronic metabolic disease that is endemic worldwide and is characterized by persistent hyperglycemia accompanied by multiple severe complications, including cardiovascular disease, kidney dysfunction, neuropathy, and retinopathy. The pathogenesis of diabetes mellitus and its complications is multifactorial, involving various molecular and cellular pathways. In recent years, research has indicated that mechanisms of cell death play a significant role in the advancement of diabetes and its complications. PANoptosis is a complex phenomenon caused by three cell death pathways: programmed apoptosis, necroptosis and pyroptosis. The contribution of PANoptosis to diabetes and its complications remains incompletely understood. Non-coding RNA, an important molecule in gene expression regulation, has shown significant regulatory functions in a variety of diseases. This paper reviews the underlying mechanisms of diverse types of non-coding RNAs (including lncRNA, miRNA and circRNA) in regulating PANoptosis and their specific contributions in diabetes, aiming to explore how non-coding RNAs influence PANoptosis and their effects in diabetes.
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Affiliation(s)
- Guangyu Han
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
- The Second Clinical Medical College, Nanchang University, Nanchang, 330006, China
| | - Kaibo Hu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
- The Second Clinical Medical College, Nanchang University, Nanchang, 330006, China
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Tianfeng Luo
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
- The Second Clinical Medical College, Nanchang University, Nanchang, 330006, China
| | - Wenting Wang
- Department of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, 571199, China
| | - Deju Zhang
- Ood and Nutritional Sciences, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Liu Ouyang
- Center for Molecular and Translational Medicine, Georgia State University, 157 Decatur Street SE, Atlanta, GA, 30303, USA
| | - Xiao Liu
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jianping Liu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Yuting Wu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Jianqi Liang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Jitao Ling
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Yixuan Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Rui Xuan
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
| | - Jing Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
| | - Peng Yu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
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Bao C, Kuang J, He C, Xu H. The value of lncRNAs as a biomarker for the pregnancy outcomes of gestational diabetes: a meta-analysis. Ir J Med Sci 2025; 194:91-100. [PMID: 39470971 DOI: 10.1007/s11845-024-03828-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 10/18/2024] [Indexed: 11/01/2024]
Abstract
BACKGROUND Long non-coding RNAs (lncRNAs) are tissue-specific and highly stable and may serve as early molecular markers of adverse pregnancy outcomes in patients with gestational diabetes mellitus (GDM). AIMS This study aimed to investigate the relationship between aberrant expression of lncRNAs and adverse pregnancy outcomes in GDM patients. METHODS We searched electronic databases: Embase, Medline, EBSCO, PubMed, CNKI, and Wanfang databases to find relevant articles. Included studies quality was assessed using the QUADAS-2 quality assessment tool. Prognostic value of lncRNAs were pooled using risk ratio (RR) with 95% confidence interval (95%CI). The heterogeneity was analyzed using the Cochran Q test and I2 statistical test, and subgroup analyses were performed to explore the sources of heterogeneity. Begg's test funnel plots were analyzed for publication bias. RESULTS The review included nine studies. Overall, the review found that altered expression of lncRNAs was associated with adverse pregnancy outcomes of GDM patients (RR: 1.616, 95%CI: 1.308-1.996), and was a risk factor for adverse pregnancy outcomes both of Infants (RR: 1.68, 95% CI: 1.30-2.17) and maternal (RR: 4.14, 95% CI: 1.90-9.03) in patients with GDM. The diagnostic procedure, diagnostic criteria, expression trend of lncRNAs, and adverse pregnancy outcomes were the sources of heterogeneity. CONCLUSIONS Aberrant expression of lncRNAs was strongly associated with the adverse pregnancy outcomes in GDM.
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Affiliation(s)
- Chunling Bao
- Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158, Wuyang Avenue, Enshi, 445000, China
| | - Jun Kuang
- Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158, Wuyang Avenue, Enshi, 445000, China
| | - Chuanyong He
- Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158, Wuyang Avenue, Enshi, 445000, China
| | - Hui Xu
- Department of Obstetrics and Gynecology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, No.158, Wuyang Avenue, Enshi, 445000, China.
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Gao D, Ren L, Hao YD, Schaduangrat N, Liu XW, Yuan SS, Yang YH, Wang Y, Shoombuatong W, Ding H. The role of ncRNA regulatory mechanisms in diseases-case on gestational diabetes. Brief Bioinform 2023; 25:bbad489. [PMID: 38189542 PMCID: PMC10772982 DOI: 10.1093/bib/bbad489] [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: 10/07/2023] [Revised: 11/16/2023] [Accepted: 12/01/2023] [Indexed: 01/09/2024] Open
Abstract
Non-coding RNAs (ncRNAs) are a class of RNA molecules that do not have the potential to encode proteins. Meanwhile, they can occupy a significant portion of the human genome and participate in gene expression regulation through various mechanisms. Gestational diabetes mellitus (GDM) is a pathologic condition of carbohydrate intolerance that begins or is first detected during pregnancy, making it one of the most common pregnancy complications. Although the exact pathogenesis of GDM remains unclear, several recent studies have shown that ncRNAs play a crucial regulatory role in GDM. Herein, we present a comprehensive review on the multiple mechanisms of ncRNAs in GDM along with their potential role as biomarkers. In addition, we investigate the contribution of deep learning-based models in discovering disease-specific ncRNA biomarkers and elucidate the underlying mechanisms of ncRNA. This might assist community-wide efforts to obtain insights into the regulatory mechanisms of ncRNAs in disease and guide a novel approach for early diagnosis and treatment of disease.
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Affiliation(s)
- Dong Gao
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Liping Ren
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China
| | - Yu-Duo Hao
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Nalini Schaduangrat
- Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
| | - Xiao-Wei Liu
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Shi-Shi Yuan
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yu-He Yang
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yan Wang
- Department of Cardiovascular Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Watshara Shoombuatong
- Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
| | - Hui Ding
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
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Wu YL, Lin ZJ, Li CC, Lin X, Shan SK, Guo B, Zheng MH, Li F, Yuan LQ, Li ZH. Epigenetic regulation in metabolic diseases: mechanisms and advances in clinical study. Signal Transduct Target Ther 2023; 8:98. [PMID: 36864020 PMCID: PMC9981733 DOI: 10.1038/s41392-023-01333-7] [Citation(s) in RCA: 146] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/02/2023] [Accepted: 01/18/2023] [Indexed: 03/04/2023] Open
Abstract
Epigenetics regulates gene expression and has been confirmed to play a critical role in a variety of metabolic diseases, such as diabetes, obesity, non-alcoholic fatty liver disease (NAFLD), osteoporosis, gout, hyperthyroidism, hypothyroidism and others. The term 'epigenetics' was firstly proposed in 1942 and with the development of technologies, the exploration of epigenetics has made great progresses. There are four main epigenetic mechanisms, including DNA methylation, histone modification, chromatin remodelling, and noncoding RNA (ncRNA), which exert different effects on metabolic diseases. Genetic and non-genetic factors, including ageing, diet, and exercise, interact with epigenetics and jointly affect the formation of a phenotype. Understanding epigenetics could be applied to diagnosing and treating metabolic diseases in the clinic, including epigenetic biomarkers, epigenetic drugs, and epigenetic editing. In this review, we introduce the brief history of epigenetics as well as the milestone events since the proposal of the term 'epigenetics'. Moreover, we summarise the research methods of epigenetics and introduce four main general mechanisms of epigenetic modulation. Furthermore, we summarise epigenetic mechanisms in metabolic diseases and introduce the interaction between epigenetics and genetic or non-genetic factors. Finally, we introduce the clinical trials and applications of epigenetics in metabolic diseases.
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Affiliation(s)
- Yan-Lin Wu
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Zheng-Jun Lin
- Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Chang-Chun Li
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Xiao Lin
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Su-Kang Shan
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Bei Guo
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Ming-Hui Zheng
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Fuxingzi Li
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Ling-Qing Yuan
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
| | - Zhi-Hong Li
- Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. .,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
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Yang W, Lyu Y, Xiang R, Yang J. Long Noncoding RNAs in the Pathogenesis of Insulin Resistance. Int J Mol Sci 2022; 23:ijms232416054. [PMID: 36555704 PMCID: PMC9785789 DOI: 10.3390/ijms232416054] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/10/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Insulin resistance (IR), designated as the blunted response of insulin target tissues to physiological level of insulin, plays crucial roles in the development and progression of diabetes, nonalcoholic fatty liver disease (NAFLD) and other diseases. So far, the distinct mechanism(s) of IR still needs further exploration. Long non-coding RNA (lncRNA) is a class of non-protein coding RNA molecules with a length greater than 200 nucleotides. LncRNAs are widely involved in many biological processes including cell differentiation, proliferation, apoptosis and metabolism. More recently, there has been increasing evidence that lncRNAs participated in the pathogenesis of IR, and the dysregulated lncRNA profile played important roles in the pathogenesis of metabolic diseases including obesity, diabetes and NAFLD. For example, the lncRNAs MEG3, H19, MALAT1, GAS5, lncSHGL and several other lncRNAs have been shown to regulate insulin signaling and glucose/lipid metabolism in various tissues. In this review, we briefly introduced the general features of lncRNA and the methods for lncRNA research, and then summarized and discussed the recent advances on the roles and mechanisms of lncRNAs in IR, particularly focused on liver, skeletal muscle and adipose tissues.
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Affiliation(s)
- Weili Yang
- Beijing Key Laboratory of Diabetes Research and Care, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Yixiang Lyu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
- Key Laboratory of Cardiovascular Science of the Ministry of Education, Center for Non-Coding RNA Medicine, Beijing 100191, China
| | - Rui Xiang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
- Key Laboratory of Cardiovascular Science of the Ministry of Education, Center for Non-Coding RNA Medicine, Beijing 100191, China
| | - Jichun Yang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
- Key Laboratory of Cardiovascular Science of the Ministry of Education, Center for Non-Coding RNA Medicine, Beijing 100191, China
- Correspondence:
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