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Maleki MH, Khakshournia S, Heydarnia E, Omidi F, Taghizadeh M, Zeynolabedinzadeh M, Akbari M, Vakili O, Shafiee SM. Attenuation of brown adipocyte whitening in high-fat diet-induced obese rats: Effects of melatonin and β-hydroxybutyrate on Cidea, Fsp27 and MT1 expression. Diabetes Obes Metab 2024. [PMID: 39118207 DOI: 10.1111/dom.15810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 06/25/2024] [Accepted: 07/04/2024] [Indexed: 08/10/2024]
Abstract
AIM To investigate the effects of β-hydroxybutyrate (BHB) and melatonin on brown adipose tissue (BAT) plasticity in rats fed a high-fat diet (HFD). METHODS We employed a 7-week experimental design for a study on 30 male Sprague-Dawley rats divided into five groups: (1) a control-diet fed group; (2) a high-fat diet (HFD)-fed group; (3) a group that received an HFD and a BHB solution in their drinking water; (4) a group that received an HFD with 10 mg/kg/day melatonin in their drinking water; and (5) a group that received an HFD and were also treated with the combination of BHB and melatonin. Following the treatment period, biochemical indices, gene expression levels of key thermogenic markers (including uncoupling protein 1 [UCP1], PR domain containing 16 [PRDM16], Cidea, fat-specific protein 27 [Fsp27], and metallothionein 1 [MT1]), and stereological assessments of BAT were evaluated. RESULTS Treatment with BHB and melatonin significantly boosted blood ketone levels, improved lipid profiles, and reduced weight gain from an HFD. It also downregulated genes linked to WAT, namely, Cidea and Fsp27, and upregulated key BAT markers, including UCP1, PRDM16 and peroxisome proliferator-activated receptor-gamma coactivator-1-alpha. Additionally, the co-treatment increased MT1 receptor expression and enhanced the structural density of BAT. CONCLUSION The combined oral administration of BHB and melatonin successfully prevented the whitening of BAT in obese rats fed an HFD, indicating its potential as a therapeutic strategy for obesity-related BAT dysfunction. The synergistic effects of this treatment underscore the potential of a combined approach to address BAT dysfunction in obesity.
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Affiliation(s)
- Mohammad Hasan Maleki
- Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sara Khakshournia
- Autophagy Research Center, Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Emad Heydarnia
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Fateme Omidi
- Students Research Committee, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Motahareh Taghizadeh
- Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahroo Zeynolabedinzadeh
- Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | | | - Omid Vakili
- Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sayed Mohammad Shafiee
- Autophagy Research Center, Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
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Flenkenthaler F, Ländström E, Shashikadze B, Backman M, Blutke A, Philippou-Massier J, Renner S, Hrabe de Angelis M, Wanke R, Blum H, Arnold GJ, Wolf E, Fröhlich T. Differential Effects of Insulin-Deficient Diabetes Mellitus on Visceral vs. Subcutaneous Adipose Tissue-Multi-omics Insights From the Munich MIDY Pig Model. Front Med (Lausanne) 2021; 8:751277. [PMID: 34888323 PMCID: PMC8650062 DOI: 10.3389/fmed.2021.751277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 10/25/2021] [Indexed: 12/18/2022] Open
Abstract
Adipose tissue (AT) is no longer considered to be responsible for energy storage only but is now recognized as a major endocrine organ that is distributed across different parts of the body and is actively involved in regulatory processes controlling energy homeostasis. Moreover, AT plays a crucial role in the development of metabolic disease such as diabetes. Recent evidence has shown that adipokines have the ability to regulate blood glucose levels and improve metabolic homeostasis. While AT has been studied extensively in the context of type 2 diabetes, less is known about how different AT types are affected by absolute insulin deficiency in type 1 or permanent neonatal diabetes mellitus. Here, we analyzed visceral and subcutaneous AT in a diabetic, insulin-deficient pig model (MIDY) and wild-type (WT) littermate controls by RNA sequencing and quantitative proteomics. Multi-omics analysis indicates a depot-specific dysregulation of crucial metabolic pathways in MIDY AT samples. We identified key proteins involved in glucose uptake and downstream signaling, lipogenesis, lipolysis and β-oxidation to be differentially regulated between visceral and subcutaneous AT in response to insulin deficiency. Proteins related to glycogenolysis, pyruvate metabolism, TCA cycle and lipogenesis were increased in subcutaneous AT, whereas β-oxidation-related proteins were increased in visceral AT from MIDY pigs, pointing at a regionally different metabolic adaptation to master energy stress arising from diminished glucose utilization in MIDY AT. Chronic, absolute insulin deficiency and hyperglycemia revealed fat depot-specific signatures using multi-omics analysis. The generated datasets are a valuable resource for further comparative and translational studies in clinical diabetes research.
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Affiliation(s)
- Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany
| | - Erik Ländström
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Gene Center, Graduate School of Quantitative Biosciences Munich (QBM), Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Bachuki Shashikadze
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Mattias Backman
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Gene Center, Graduate School of Quantitative Biosciences Munich (QBM), Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Andreas Blutke
- Helmholtz Zentrum München, Institute of Experimental Genetics, Oberschleißheim, Germany
| | - Julia Philippou-Massier
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany
| | - Simone Renner
- German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Department of Veterinary Sciences, Gene Center, Institute for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität (LMU) Munich, Oberschleißheim, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Helmholtz Zentrum München, Institute of Experimental Genetics, Technical University of Munich, Munich, Germany
| | - Rüdiger Wanke
- Center for Clinical Veterinary Medicine, Institute of Veterinary Pathology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Georg J Arnold
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Department of Veterinary Sciences, Gene Center, Institute for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität (LMU) Munich, Oberschleißheim, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
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