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Hernández-Gómez KG, Avila-Nava A, González-Salazar LE, Noriega LG, Serralde-Zúñiga AE, Guizar-Heredia R, Medina-Vera I, Gutiérrez-Solis AL, Torres N, Tovar AR, Guevara-Cruz M. Modulation of MicroRNAs and Exosomal MicroRNAs after Dietary Interventions for Obesity and Insulin Resistance: A Narrative Review. Metabolites 2023; 13:1190. [PMID: 38132872 PMCID: PMC10745452 DOI: 10.3390/metabo13121190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs approximately 22 nucleotides in length. Their main function is to regulate gene expression at the posttranscriptional level by inhibiting the translation of messenger RNAs (mRNAs). miRNAs originate in the cell nucleus from specific genes, where they can perform their function. However, they can also be found in serum, plasma, or other body fluids travelling within vesicles called exosomes and/or bound to proteins or other particles such as lipoproteins. miRNAs can form complexes outside the cell where they are synthesized, mediating paracrine and endocrine communication between different tissues. In this way, they can modulate the gene expression and function of distal cells. It is known that the expression of miRNAs can be affected by multiple factors, such as the nutritional or pathological state of the individual, or even in conditions such as obesity, insulin resistance, or after any dietary intervention. In this review, we will analyse miRNAs whose expression and circulation are affected in conditions of obesity and insulin resistance, as well as the changes generated after a dietary intervention, with the purpose of identifying new possible biomarkers of early response to nutritional treatment in these conditions.
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Affiliation(s)
- Karla G. Hernández-Gómez
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
| | - Azalia Avila-Nava
- Hospital Regional de Alta Especialidad de la Península de Yucatán, Mérida 97130, Mexico; (A.A.-N.); (A.L.G.-S.)
| | - Luis E. González-Salazar
- Servicio de Nutriología Clínica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (L.E.G.-S.); (A.E.S.-Z.)
| | - Lilia G. Noriega
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
| | - Aurora E. Serralde-Zúñiga
- Servicio de Nutriología Clínica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (L.E.G.-S.); (A.E.S.-Z.)
| | - Rocio Guizar-Heredia
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
| | - Isabel Medina-Vera
- Departamento de Metodología de la Investigación, Instituto Nacional de Pediatría, Mexico City 04530, Mexico;
- Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, 14380 Mexico City, Mexico
| | - Ana Ligia Gutiérrez-Solis
- Hospital Regional de Alta Especialidad de la Península de Yucatán, Mérida 97130, Mexico; (A.A.-N.); (A.L.G.-S.)
| | - Nimbe Torres
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
| | - Armando R. Tovar
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
| | - Martha Guevara-Cruz
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico; (K.G.H.-G.); (L.G.N.); (R.G.-H.); (N.T.)
- Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, 14380 Mexico City, Mexico
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Zhang JY, Ren CQ, Cao YN, Ren Y, Zou L, Zhou C, Peng LX. Role of MicroRNAs in Dietary Interventions for Obesity and Obesity-Related Diseases. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:14396-14412. [PMID: 37782460 DOI: 10.1021/acs.jafc.3c03042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Obesity and related metabolic syndromes pose a serious threat to human health and quality of life. A proper diet is a safe and effective strategy to prevent and control obesity, thus maintaining overall health. However, no consensus exists on the connotations of proper diet, and it is attributed to various factors, including "nutritional dark matter" and the "matrix effect" of food. Accumulating evidence confirms that obesity is associated with the in vivo levels of miRNAs, which serve as potential markers and regulatory targets for obesity onset and progression; food-derived miRNAs can regulate host obesity by targeting the related genes or gut microbiota across the animal kingdom. Host miRNAs mediate food nutrient-gut microbiota-obesity interactions. Thus, miRNAs are important correlates of diet and obesity onset. This review outlines the recent findings on miRNA-mediated food interventions for obesity, thereby elucidating their potential applications. Overall, we provide new perspectives and views on the evaluation of dietary nutrition, which may bear important implications for dietary control and obesity prevention.
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Affiliation(s)
- Ji-Yue Zhang
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
| | - Chao-Qin Ren
- Aba Teachers University, Wenchuan, Sichuan 623002, People's Republic of China
| | - Ya-Nan Cao
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
| | - Yuanhang Ren
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
| | - Liang Zou
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
| | - Chuang Zhou
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
| | - Lian-Xin Peng
- Key Laboratory of Coarse Cereal Processing of Ministry of Agriculture and Rural Affairs, Sichuan Province Engineering Technology Research Center of Coarse Cereal Industrialization, Chengdu University, Chengdu 610106, People's Republic of China
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Liu J, Che Y, Cai K, Zhao B, Qiao L, Pan Y, Yang K, Liu W. miR-136 Regulates the Proliferation and Adipogenic Differentiation of Adipose-Derived Stromal Vascular Fractions by Targeting HSD17B12. Int J Mol Sci 2023; 24:14892. [PMID: 37834341 PMCID: PMC10573499 DOI: 10.3390/ijms241914892] [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: 08/22/2023] [Revised: 10/01/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Fat deposition involves the continuous differentiation of adipocytes and lipid accumulation. Studies have shown that microRNA miR-136 and 17β-hydroxysteroid dehydrogenase type 12 (HSD17B12) play important roles in lipid accumulation. However, the regulatory mechanism through which miR-136 targets HSD17B12 during ovine adipogenesis remains unclear. This study aimed to elucidate the role of miR-136 and HSD17B12 in adipogenesis and their relationship in ovine adipose-derived stromal vascular fractions (SVFs). The target relationship between miR-136 and HSD17B12 was predicted and confirmed using bioinformatics and a dual-luciferase reporter assay. The results showed that miR-136 promoted proliferation and inhibited adipogenic differentiation of ovine SVFs. We also found that HSD17B12 inhibited proliferation and promoted adipogenic differentiation of ovine SVFs. Collectively, our results indicate that miR-136 facilitates proliferation and attenuates adipogenic differentiation of ovine SVFs by targeting HSD17B12. These findings provide a theoretical foundation for further elucidation of the regulatory mechanisms of lipid deposition in sheep.
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Affiliation(s)
- Jianhua Liu
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
- Key Laboratory of Farm Animal Genetic Resources Exploration and Breeding of Shanxi Province, Jinzhong 030801, China
| | - Yutong Che
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Ke Cai
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Bishi Zhao
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Liying Qiao
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Yangyang Pan
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Kaijie Yang
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Wenzhong Liu
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
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Hellbach F, Sinke L, Costeira R, Baumeister SE, Beekman M, Louca P, Leeming ER, Mompeo O, Berry S, Wilson R, Wawro N, Freuer D, Hauner H, Peters A, Winkelmann J, Koenig W, Meisinger C, Waldenberger M, Heijmans BT, Slagboom PE, Bell JT, Linseisen J. Pooled analysis of epigenome-wide association studies of food consumption in KORA, TwinsUK and LLS. Eur J Nutr 2023; 62:1357-1375. [PMID: 36571600 PMCID: PMC10030421 DOI: 10.1007/s00394-022-03074-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 12/12/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE Examining epigenetic patterns is a crucial step in identifying molecular changes of disease pathophysiology, with DNA methylation as the most accessible epigenetic measure. Diet is suggested to affect metabolism and health via epigenetic modifications. Thus, our aim was to explore the association between food consumption and DNA methylation. METHODS Epigenome-wide association studies were conducted in three cohorts: KORA FF4, TwinsUK, and Leiden Longevity Study, and 37 dietary exposures were evaluated. Food group definition was harmonized across the three cohorts. DNA methylation was measured using Infinium MethylationEPIC BeadChip in KORA and Infinium HumanMethylation450 BeadChip in the Leiden study and the TwinsUK study. Overall, data from 2293 middle-aged men and women were included. A fixed-effects meta-analysis pooled study-specific estimates. The significance threshold was set at 0.05 for false-discovery rate-adjusted p values per food group. RESULTS We identified significant associations between the methylation level of CpG sites and the consumption of onions and garlic (2), nuts and seeds (18), milk (1), cream (11), plant oils (4), butter (13), and alcoholic beverages (27). The signals targeted genes of metabolic health relevance, for example, GLI1, RPTOR, and DIO1, among others. CONCLUSION This EWAS is unique with its focus on food groups that are part of a Western diet. Significant findings were mostly related to food groups with a high-fat content.
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Affiliation(s)
- Fabian Hellbach
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
| | - Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Sebastian-Edgar Baumeister
- Institute of Health Services Research in Dentistry, Medical Faculty, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Panayiotis Louca
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Emily R Leeming
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Olatz Mompeo
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Sarah Berry
- Department of Nutritional Sciences, King's College London, London, UK
| | - Rory Wilson
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Nina Wawro
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Dennis Freuer
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - Hans Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Ingolstädter Landstr. 1, 85764, Munich-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (HmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336, Munich, Germany
- German Heart Centre Munich, Technical University Munich, Lazarettstr. 36, 80636, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Helmholtzstr. 22, 89081, Ulm, Germany
| | - Christa Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Ingolstädter Landstr. 1, 85764, Munich-Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8A & 9, 80336, Munich, Germany
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, England, UK
| | - Jakob Linseisen
- Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, Ludwig-Maximilian University Munich, Marchioninistr. 15, 81377, Munich, Germany
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany
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Iglesias-Carres L, Neilson AP. Utilizing preclinical models of genetic diversity to improve translation of phytochemical activities from rodents to humans and inform personalized nutrition. Food Funct 2021; 12:11077-11105. [PMID: 34672309 DOI: 10.1039/d1fo02782d] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Mouse models are an essential tool in different areas of research, including nutrition and phytochemical research. Traditional inbred mouse models have allowed the discovery of therapeutical targets and mechanisms of action and expanded our knowledge of health and disease. However, these models lack the genetic variability typically found in human populations, which hinders the translatability of the results found in mice to humans. The development of genetically diverse mouse models, such as the collaborative cross (CC) or the diversity outbred (DO) models, has been a useful tool to overcome this obstacle in many fields, such as cancer, immunology and toxicology. However, these tools have not yet been widely adopted in the field of phytochemical research. As demonstrated in other disciplines, use of CC and DO models has the potential to provide invaluable insights for translation of phytochemicals from rodents to humans, which are desperately needed given the challenges and numerous failed clinical trials in this field. These models may prove informative for personalized use of phytochemicals in humans, including: predicting interindividual variability in phytochemical bioavailability and efficacy, identifying genetic loci or genes governing response to phytochemicals, identifying phytochemical mechanisms of action and therapeutic targets, and understanding the impact of genetic variability on individual response to phytochemicals. Such insights would prove invaluable for personalized implementation of phytochemicals in humans. This review will focus on the current work performed with genetically diverse mouse populations, and the research opportunities and advantages that these models can offer to phytochemical research.
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Affiliation(s)
- Lisard Iglesias-Carres
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
| | - Andrew P Neilson
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
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