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Osonoi S, Takebe T. Organoid-guided precision hepatology for metabolic liver disease. J Hepatol 2024; 80:805-821. [PMID: 38237864 DOI: 10.1016/j.jhep.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/28/2023] [Accepted: 01/02/2024] [Indexed: 03/09/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease affects millions of people worldwide. Progress towards a definitive cure has been incremental and treatment is currently limited to lifestyle modification. Hepatocyte-specific lipid accumulation is the main trigger of lipotoxic events, driving inflammation and fibrosis. The underlying pathology is extraordinarily heterogenous, and the manifestations of steatohepatitis are markedly influenced by metabolic communications across non-hepatic organs. Synthetic human tissue models have emerged as powerful platforms to better capture the mechanistic diversity in disease progression, while preserving person-specific genetic traits. In this review, we will outline current research efforts focused on integrating multiple synthetic tissue models of key metabolic organs, with an emphasis on organoid-based systems. By combining functional genomics and population-scale en masse profiling methodologies, human tissues derived from patients can provide insights into personalised genetic, transcriptional, biochemical, and metabolic states. These collective efforts will advance our understanding of steatohepatitis and guide the development of rational solutions for mechanism-directed diagnostic and therapeutic investigation.
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Affiliation(s)
- Sho Osonoi
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Gastroenterology, Hepatology and Nutrition, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, 036-8562, Japan
| | - Takanori Takebe
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Gastroenterology, Hepatology and Nutrition, Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA; WPI Premium Institute for Human Metaverse Medicine (WPI-PRIMe) and Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan; Institute of Research, Tokyo Medical and Dental University (TMDU), Tokyo 113-8510, Japan; Communication Design Center, Advanced Medical Research Center, Yokohama City University, Yokohama 236-0004, Japan.
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Sheng R, Li Y, Wu Y, Liu C, Wang W, Han X, Li Y, Lei L, Jiang X, Zhang Y, Zhang Y, Li S, Hong B, Liu C, Xu Y, Si S. A pan-PPAR agonist E17241 ameliorates hyperglycemia and diabetic dyslipidemia in KKAy mice via up-regulating ABCA1 in islet, liver, and white adipose tissue. Biomed Pharmacother 2024; 172:116220. [PMID: 38308968 DOI: 10.1016/j.biopha.2024.116220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/18/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024] Open
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) is a common chronic metabolic disease. Peroxisome proliferator-activated receptors (PPARs) play crucial roles in regulating glucolipid metabolism. Previous studies showed that E17241 could ameliorate atherosclerosis and lower fasting blood glucose levels in ApoE-/- mice. In this work, we investigated the role of E17241 in glycolipid metabolism in diabetic KKAy mice. APPROACH AND RESULTS We confirmed that E17241 is a powerful pan-PPAR agonist with a potent agonistic activity on PPARγ, a high activity on PPARα, and a moderate activity on PPARδ. E17241 also significantly increased the protein expression of ATP-binding cassette transporter 1 (ABCA1), a crucial downstream target gene for PPARs. E17241 clearly lowered plasma glucose levels, improved OGTT and ITT, decreased islet cholesterol content, improved β-cell function, and promoted insulin secretion in KKAy mice. Moreover, E17241 could significantly lower plasma total cholesterol and triglyceride levels, reduce liver lipid deposition, and improve the adipocyte hypertrophy and the inflammatory response in epididymal white adipose tissue. Further mechanistic studies indicated that E17241 boosts cholesterol efflux and insulin secretion in an ABCA1 dependent manner. RNA-seq and qRT-PCR analysis demonstrated that E17241 induced different expression of PPAR target genes in liver and adipose tissue differently from the PPARγ agonist rosiglitazone. In addition, E17241 treatment was also demonstrated to have an exhilarating cardiorenal benefits. CONCLUSIONS Our results demonstrate that E17241 regulates glucolipid metabolism in KKAy diabetic mice while having cardiorenal benefits without inducing weight gain. It is a promising drug candidate for the treatment of T2DM.
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Affiliation(s)
- Ren Sheng
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Yining Li
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Yexiang Wu
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Chang Liu
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Weizhi Wang
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Xiaowan Han
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China; State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, CAMS & PUMC, Beijing 100050, China
| | - Yinghong Li
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Lijuan Lei
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Xinhai Jiang
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Yuyan Zhang
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Yuhao Zhang
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Shunwang Li
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Bin Hong
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China
| | - Chao Liu
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China.
| | - Yanni Xu
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China.
| | - Shuyi Si
- NHC Key Laboratory of Biotechnology for Microbial Drugs, National Center for Screening Novel Microbial Drugs, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tiantan Xili 1#, Beijing 100050, China; State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Medicinal Biotechnology, CAMS & PUMC, Beijing 100050, China.
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He Z, Li X, Wang Z, Cao Y, Han S, Li N, Cai J, Cheng S, Liu Q. Protective effects of luteolin against amyloid beta-induced oxidative stress and mitochondrial impairments through peroxisome proliferator-activated receptor γ-dependent mechanism in Alzheimer's disease. Redox Biol 2023; 66:102848. [PMID: 37597424 PMCID: PMC10462892 DOI: 10.1016/j.redox.2023.102848] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 08/21/2023] Open
Abstract
Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by the deposition of β-amyloid (Aβ) peptides and dysfunction of mitochondrion, which result in neuronal apoptosis and ultimately cognitive impairment. Inhibiting Aβ generation and repairing mitochondrial damage are prominent strategies in AD therapeutic treatment. Luteolin, a flavonoid compound, exhibits anti-inflammatory neuroprotective properties in AD mice. However, it is still unclear whether luteolin has any effect on Aβ pathology and mitochondrial dysfunction. In this study, the beneficial effect and underlying mechanism of luteolin were investigated in triple transgenic AD (3 × Tg-AD) mice and primary neurons. Our study showed that luteolin supplement significantly ameliorated memory and cognitive impairment of AD mice and exerted neuroprotection by inhibiting Aβ generation, repairing mitochondrial damage and reducing neuronal apoptosis. Further research revealed that luteolin could directly bind with peroxisome proliferator-activated receptor gama (PPARγ) to promote its expression and function. In the culture of hippocampus-derived primary neurons, addition of PPARγ antagonist GW9662 or knockdown of PPARγ with its siRNA could eliminate the effect of luteolin on AD pathologies. In summary, this work revealed for the first time that luteolin effectively improved cognitive deficits of 3 × Tg-AD mice and inhibited Aβ-induced oxidative stress, mitochondrial dysfunction and neuronal apoptosis via PPARγ-dependent mechanism. Hence, luteolin has the potential to serve as a therapeutic agent against AD.
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Affiliation(s)
- Zhijun He
- National R&D Center for Se-rich Agricultural Products Processing, Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China; Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Xiaoqian Li
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Zi Wang
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Yingqi Cao
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Shuangxue Han
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Nan Li
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, 518055, China
| | - Jie Cai
- National R&D Center for Se-rich Agricultural Products Processing, Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
| | - Shuiyuan Cheng
- National R&D Center for Se-rich Agricultural Products Processing, Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
| | - Qiong Liu
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, 518055, China.
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da Fonseca Junior AM, Ispada J, Dos Santos EC, de Lima CB, da Silva JVA, Paulson E, Goszczynski DE, Goissis MD, Ross PJ, Milazzotto MP. Adaptative response to changes in pyruvate metabolism on the epigenetic landscapes and transcriptomics of bovine embryos. Sci Rep 2023; 13:11504. [PMID: 37460590 DOI: 10.1038/s41598-023-38686-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/12/2023] [Indexed: 07/20/2023] Open
Abstract
The epigenetic reprogramming that occurs during the earliest stages of embryonic development has been described as crucial for the initial events of cell specification and differentiation. Recently, the metabolic status of the embryo has gained attention as one of the main factors coordinating epigenetic events. In this work, we investigate the link between pyruvate metabolism and epigenetic regulation by culturing bovine embryos from day 5 in the presence of dichloroacetate (DCA), a pyruvate analog that increases the pyruvate to acetyl-CoA conversion, and iodoacetate (IA), which inhibits the glyceraldehyde-3-phosphate dehydrogenase (GAPDH), leading to glycolysis inhibition. After 8 h of incubation, both DCA and IA-derived embryos presented higher mitochondrial membrane potential. Nevertheless, in both cases, lower levels of acetyl-CoA, ATP-citrate lyase and mitochondrial membrane potential were found in blastocysts, suggesting an adaptative metabolic response, especially in the DCA group. The metabolic alteration found in blastocysts led to changes in the global pattern of H3K9 and H3K27 acetylation and H3K27 trimethylation. Transcriptome analysis revealed that such alterations resulted in molecular differences mainly associated to metabolic processes, establishment of epigenetic marks, control of gene expression and cell cycle. The latter was further confirmed by the alteration of total cell number and cell differentiation in both groups when compared to the control. These results corroborate previous evidence of the relationship between the energy metabolism and the epigenetic reprogramming in preimplantation bovine embryos, reinforcing that the culture system is decisive for precise epigenetic reprogramming, with consequences for the molecular control and differentiation of cells.
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Affiliation(s)
- Aldcejam Martins da Fonseca Junior
- Federal University of ABC - Center for Natural and Human Sciences, Av. Dos Estados, 5001, Bairro Santa Terezinha, Bloco A, Lab 504-3, Santo André, SP, CEP: 09210-580, Brazil
| | - Jessica Ispada
- Federal University of ABC - Center for Natural and Human Sciences, Av. Dos Estados, 5001, Bairro Santa Terezinha, Bloco A, Lab 504-3, Santo André, SP, CEP: 09210-580, Brazil
| | - Erika Cristina Dos Santos
- Federal University of ABC - Center for Natural and Human Sciences, Av. Dos Estados, 5001, Bairro Santa Terezinha, Bloco A, Lab 504-3, Santo André, SP, CEP: 09210-580, Brazil
| | | | - João Vitor Alcantara da Silva
- Federal University of ABC - Center for Natural and Human Sciences, Av. Dos Estados, 5001, Bairro Santa Terezinha, Bloco A, Lab 504-3, Santo André, SP, CEP: 09210-580, Brazil
| | - Erika Paulson
- Department of Animal Science, University of California, UC - Davis, Davis, USA
| | | | | | - Pablo Juan Ross
- Department of Animal Science, University of California, UC - Davis, Davis, USA
| | - Marcella Pecora Milazzotto
- Federal University of ABC - Center for Natural and Human Sciences, Av. Dos Estados, 5001, Bairro Santa Terezinha, Bloco A, Lab 504-3, Santo André, SP, CEP: 09210-580, Brazil.
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Wu D, Zhang Z, Sun W, Yan Y, Jing M, Ma S. The effect of G0S2 on insulin sensitivity: A proteomic analysis in a G0S2-overexpressed high-fat diet mouse model. Front Endocrinol (Lausanne) 2023; 14:1130350. [PMID: 37033250 PMCID: PMC10076770 DOI: 10.3389/fendo.2023.1130350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/07/2023] [Indexed: 04/11/2023] Open
Abstract
BACKGROUND Previous research has shown a tight relationship between the G0/G1 switch gene 2 (G0S2) and metabolic diseases such as non-alcoholic fatty liver disease (NAFLD) and obesity and diabetes, and insulin resistance has been shown as the major risk factor for both NAFLD and T2DM. However, the mechanisms underlying the relationship between G0S2 and insulin resistance remain incompletely understood. Our study aimed to confirm the effect of G0S2 on insulin resistance, and determine whether the insulin resistance in mice fed a high-fat diet (HFD) results from G0S2 elevation. METHODS In this study, we extracted livers from mice that consumed HFD and received tail vein injections of AD-G0S2/Ad-LacZ, and performed a proteomics analysis. RESULTS Proteomic analysis revealed that there was a total of 125 differentially expressed proteins (DEPs) (56 increased and 69 decreased proteins) among the identified 3583 proteins. Functional enrichment analysis revealed that four insulin signaling pathway-associated proteins were significantly upregulated and five insulin signaling pathway -associated proteins were significantly downregulated. CONCLUSION These findings show that the DEPs, which were associated with insulin resistance, are generally consistent with enhanced insulin resistance in G0S2 overexpression mice. Collectively, this study demonstrates that G0S2 may be a potential target gene for the treatment of obesity, NAFLD, and diabetes.
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Affiliation(s)
- Dongming Wu
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zhenyuan Zhang
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, China
- Shandong Prevention and Control Engineering Laboratory of Endocrine and Metabolic Diseases, Jinan, China
| | - Wenxiu Sun
- Department of Nursing, Taishan Vocational College of Nursing, Taian, China
| | - Yong Yan
- Department of Transfusion Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Mengzhe Jing
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, China
- Shandong Prevention and Control Engineering Laboratory of Endocrine and Metabolic Diseases, Jinan, China
| | - Shizhan Ma
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, China
- Shandong Prevention and Control Engineering Laboratory of Endocrine and Metabolic Diseases, Jinan, China
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Lee E, Korf H, Vidal-Puig A. An adipocentric perspective on the development and progression of non-alcoholic fatty liver disease. J Hepatol 2023; 78:1048-1062. [PMID: 36740049 DOI: 10.1016/j.jhep.2023.01.024] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/20/2022] [Accepted: 01/19/2023] [Indexed: 02/07/2023]
Abstract
Alongside the liver, white adipose tissue (WAT) is critical in regulating systemic energy homeostasis. Although each organ has its specialised functions, they must work coordinately to regulate whole-body metabolism. Adipose tissues and the liver are relatively resilient and can adapt to an energy surplus by facilitating triglyceride (TG) storage up to a certain threshold level without significant metabolic disturbances. However, lipid storage in WAT beyond a "personalised" adiposity threshold becomes dysfunctional, leading to metabolic inflexibility, progressive inflammation, and aberrant adipokine secretion. Moreover, the failure of adipose tissue to store and mobilise lipids results in systemic knock-on lipid overload, particularly in the liver. Factors contributing to hepatic lipid overload include lipids released from WAT, dietary fat intake, and enhanced de novo lipogenesis. In contrast, extrahepatic mechanisms counteracting toxic hepatic lipid overload entail coordinated compensation through oxidation of surplus fatty acids in brown adipose tissue and storage of fatty acids as TGs in WAT. Failure of these integrated homeostatic mechanisms leads to quantitative increases and qualitative alterations to the lipidome of the liver. Initially, hepatocytes preferentially accumulate TG species leading to a relatively "benign" non-alcoholic fatty liver. However, with time, inflammatory responses ensue, progressing into more severe conditions such as non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma, in some individuals (often without an early prognostic clue). Herein, we highlight the pathogenic importance of obesity-induced "adipose tissue failure", resulting in decreased adipose tissue functionality (i.e. fat storage capacity and metabolic flexibility), in the development and progression of NAFL/NASH.
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Affiliation(s)
- Eunyoung Lee
- Metabolic Research Laboratories, Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK; Department of Medical Physiology, Chiba University, Graduate School of Medicine, Chiba, Japan
| | - Hannelie Korf
- Laboratory of Hepatology, CHROMETA Department, KU Leuven, Leuven, Belgium.
| | - Antonio Vidal-Puig
- Metabolic Research Laboratories, Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK; Centro de Innvestigacion Principe Felipe, Valencia, Spain; Cambridge University Nanjing Centre of Technology and Innovation, Nanjing, China.
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Jing Y, Mu F, Xing X, Huang J, Lou M, Xu H, Ning B, Lou Y, Gao Z, Luo H, Yan X, Li H, Wang N. Knockout and Restoration Reveal Differential Functional Roles of PPARγ1 and PPARγ2 in Chicken Adipogenesis. J Agric Food Chem 2022; 70:14959-14973. [PMID: 36383077 DOI: 10.1021/acs.jafc.2c05549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Peroxisome proliferator-activated receptor γ (PPARγ) is the master regulator of adipogenesis and is expressed as two isoforms, PPARγ1 and PPARγ2. Our previous lentiviral overexpression study showed that PPARγ1 and PPARγ2 differentially regulated proliferation, differentiation, and apoptosis of the immortalized chicken preadipocyte cell line (ICP2). However, we cannot rule out the possibility that the endogenous expression of PPARγ isoforms may compromise our findings. In this study, using the dual sgRNA-directed CRISPR/Cas9 system, we generated PPARγ (PPARγ-/-) and PPARγ2-specific knockout (PPARγ2-/-) ICP2 cell lines and investigated the differences in proliferation and differentiation among PPARγ-/-, PPARγ2-/-, and wild-type ICP2 cells. EdU proliferation assay showed that both PPARγ2-specific and PPARγ knockouts significantly increased the proliferation rates. Consistently, real-time RT-PCR analysis showed that both PPARγ2-specific and PPARγ knockouts significantly upregulated the expression of proliferation marker genes PCNA and cyclinD1. FACS analysis revealed that PPARγ knockout significantly increased the number of cells accumulating in the S phase and decreased the number of cells accumulating in the G1/G0 phase. Oil Red O staining and gene expression analysis showed both PPARγ2-specific and PPARγ knockouts dramatically reduced capacity for adipogenic differentiation. To corroborate our previous findings, PPARγ1 and PPARγ2 expression were restored in PPARγ-/- cells by using the lentiviruses expressing chicken PPARγ1 (LV-PPARγ1) and PPARγ2 (LV-PPARγ2), respectively. Subsequent assays showed that restoration of expression of either PPARγ1 or PPARγ2 suppressed proliferation and stimulated differentiation of the PPARγ-/- cells. By comparison, PPARγ2 had stronger anti-proliferative and pro-adipogenic effects than PPARγ1. To understand the molecular mechanism underlying their differential effects on differentiation of the PPARγ-/- cells, we performed RNA-seq in the PPARγ-/- cells in which individual PPARγ isoform expression was restored at 72 h of differentiation. Transcriptomic analysis revealed that restoring PPARγ1 expression caused far more differentially expressed genes (DEGs) than restoring PPARγ2 expression. GO and KEGG pathway enrichment analyses indicated that PPARγ1 and PPARγ2 had distinct and overlapping functions in adipogenesis. Taken together, our results clearly indicate that PPARγ1 and PPARγ2 differentially impact chicken adipogenesis.
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Affiliation(s)
- Yang Jing
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Fang Mu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Xiaoxu Xing
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Jiaxin Huang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Ming Lou
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Haidong Xu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Bolin Ning
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Yuqi Lou
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Zhihui Gao
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Haoyu Luo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Xiaohong Yan
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Hui Li
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
| | - Ning Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
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8
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Fernández-Verdejo R, Malo-Vintimilla L, Gutiérrez-Pino J, López-Fuenzalida A, Olmos P, Irarrazaval P, Galgani JE. Similar Metabolic Health in Overweight/Obese Individuals With Contrasting Metabolic Flexibility to an Oral Glucose Tolerance Test. Front Nutr 2021; 8:745907. [PMID: 34869522 PMCID: PMC8637191 DOI: 10.3389/fnut.2021.745907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/13/2021] [Indexed: 01/14/2023] Open
Abstract
Background: Low metabolic flexibility (MetF) may be an underlying factor for metabolic health impairment. Individuals with low MetF are thus expected to have worse metabolic health than subjects with high MetF. Therefore, we aimed to compare metabolic health in individuals with contrasting MetF to an oral glucose tolerance test (OGTT). Methods: In individuals with excess body weight, we measured MetF as the change in respiratory quotient (RQ) from fasting to 1 h after ingestion of a 75-g glucose load (i.e., OGTT). Individuals were then grouped into low and high MetF (Low-MetF n = 12; High-MetF n = 13). The groups had similar body mass index, body fat, sex, age, and maximum oxygen uptake. Metabolic health markers (clinical markers, insulin sensitivity/resistance, abdominal fat, and intrahepatic fat) were compared between groups. Results: Fasting glucose, triglycerides (TG), and high-density lipoprotein (HDL) were similar between groups. So were insulin sensitivity/resistance, visceral, and intrahepatic fat. Nevertheless, High-MetF individuals had higher diastolic blood pressure, a larger drop in TG concentration during the OGTT, and a borderline significant (P = 0.05) higher Subcutaneous Adipose Tissue (SAT). Further, compared to Low-MetF, High-MetF individuals had an about 2-fold steeper slope for the relationship between SAT and fat mass index. Conclusion: Individuals with contrasting MetF to an OGTT had similar metabolic health. Yet High-MetF appears related to enhanced circulating TG clearance and enlarged subcutaneous fat.
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Affiliation(s)
- Rodrigo Fernández-Verdejo
- Carrera de Nutrición y Dietética, Departamento de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.,Laboratorio de Fisiología del Ejercicio y Metabolismo (LABFEM), Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae, Santiago, Chile
| | - Lorena Malo-Vintimilla
- Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Juan Gutiérrez-Pino
- Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Antonio López-Fuenzalida
- Carrera de Kinesiología, Departamento de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.,Disciplinary Department of Kinesiology, Faculty of Health Science, Universidad de Playa Ancha, Valparaíso, Chile
| | - Pablo Olmos
- Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Pablo Irarrazaval
- Departamento de Ingeniería Eléctrica e Instituto de Ingeniería Biológica y Médica, Escuelas de Ingeniería, Medicina y Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jose E Galgani
- Carrera de Nutrición y Dietética, Departamento de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.,Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
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9
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Abstract
Peroxisome proliferator-activated receptor-α (PPARα), PPARδ and PPARγ are transcription factors that regulate gene expression following ligand activation. PPARα increases cellular fatty acid uptake, esterification and trafficking, and regulates lipoprotein metabolism genes. PPARδ stimulates lipid and glucose utilization by increasing mitochondrial function and fatty acid desaturation pathways. By contrast, PPARγ promotes fatty acid uptake, triglyceride formation and storage in lipid droplets, thereby increasing insulin sensitivity and glucose metabolism. PPARs also exert antiatherogenic and anti-inflammatory effects on the vascular wall and immune cells. Clinically, PPARγ activation by glitazones and PPARα activation by fibrates reduce insulin resistance and dyslipidaemia, respectively. PPARs are also physiological master switches in the heart, steering cardiac energy metabolism in cardiomyocytes, thereby affecting pathological heart failure and diabetic cardiomyopathy. Novel PPAR agonists in clinical development are providing new opportunities in the management of metabolic and cardiovascular diseases.
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Affiliation(s)
- David Montaigne
- University of Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Laura Butruille
- University of Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Bart Staels
- University of Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France.
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10
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Corrales P, Vidal-Puig A, Medina-Gómez G. Obesity and pregnancy, the perfect metabolic storm. Eur J Clin Nutr 2021; 75:1723-1734. [PMID: 33911209 DOI: 10.1038/s41430-021-00914-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 03/15/2021] [Accepted: 03/29/2021] [Indexed: 02/02/2023]
Abstract
Pregnancy is a physiological stress that requires dynamic, regulated changes affecting maternal and fetal adiposity. Excessive accumulation of dysfunctional adipose tissue defined by metabolic and molecular alterations cause severe health consequences for mother and fetus. When subjected to sustained overnutrition, the cellular and lipid composition of the adipose tissue changes predisposing to insulin resistance, diabetes, and other metabolic disorders compromising the outcome of the pregnancy. Moreover, excessive maternal weight gain, usually in the context of obesity, predisposes to an increased flux of nutrients from mother to fetus throughout the placenta. The fetus of an obese mother will accumulate more adiposity and may increase the risk of future metabolic disorder later in life. Thus, further understanding of the interaction between maternal metabolism, epigenetic regulation of the adipose tissue, and their transgenerational transfer are required to mitigate the adverse health outcomes for the mother and the fetus associated with maternal obesity.
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Affiliation(s)
- Patricia Corrales
- Área de Bioquímica y Biología Molecular, Departamento de Ciencias Básicas de la Salud, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, Spain.
| | - Antonio Vidal-Puig
- Metabolic Research Laboratories, Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
- Wellcome Trust Sanger Institute, Hinxton, UK
- Cambridge University Nanjing Centre of Technology and Innovation, Nanjing, PR China
| | - Gema Medina-Gómez
- Área de Bioquímica y Biología Molecular, Departamento de Ciencias Básicas de la Salud, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, Spain.
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11
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Sun C, Mao S, Chen S, Zhang W, Liu C. PPARs-Orchestrated Metabolic Homeostasis in the Adipose Tissue. Int J Mol Sci 2021; 22:8974. [PMID: 34445679 DOI: 10.3390/ijms22168974] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 08/17/2021] [Accepted: 08/17/2021] [Indexed: 01/12/2023] Open
Abstract
It has been more than three decades since peroxisome proliferator-activated receptors (PPARs) were first discovered. Many investigations have revealed the central regulators of PPARs in lipid and glucose homeostasis in response to different nutrient conditions. PPARs have attracted much attention due to their ability to improve metabolic syndromes, and they have also been proposed as classical drug targets for the treatment of hyperlipidemia and type 2 diabetes (T2D) mellitus. In parallel, adipose tissue is known to play a unique role in the pathogenesis of insulin resistance and metabolic syndromes due to its ability to “safely” store lipids and secrete cytokines that regulate whole-body metabolism. Adipose tissue relies on a complex and subtle network of transcription factors to maintain its normal physiological function, by coordinating various molecular events, among which PPARs play distinctive and indispensable roles in adipocyte differentiation, lipid metabolism, adipokine secretion, and insulin sensitivity. In this review, we discuss the characteristics of PPARs with special emphasis on the roles of the different isotypes in adipocyte biology.
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12
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Yu EA, Le NA, Stein AD. Measuring Postprandial Metabolic Flexibility to Assess Metabolic Health and Disease. J Nutr 2021; 151:3284-3291. [PMID: 34293154 PMCID: PMC8562077 DOI: 10.1093/jn/nxab263] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 06/25/2021] [Accepted: 07/19/2021] [Indexed: 11/13/2022] Open
Abstract
Metabolic abnormalities substantially increase the risk of noncommunicable diseases, which are among the leading causes of mortality globally. Mitigating and preventing these adverse consequences remains challenging due to a limited understanding of metabolic health. Metabolic flexibility, a key tenet of metabolic health, encompasses the responsiveness of interrelated pathways to maintain energy homeostasis throughout daily physiologic challenges, such as the response to meal challenges. One critical underlying research gap concerns the measurement of postprandial metabolic flexibility, which remains incompletely understood. We concisely review the methodology for assessment of postprandial metabolic flexibility in recent human studies. We identify 3 commonalities of study design, specifically the nature of the challenge, nature of the response measured, and approach to data analysis. Primary interventions were acute short-term nutrition challenges, including single- and multiple-macronutrient tolerance tests. Postmeal challenge responses were measured via laboratory assays and instrumentation, based on a diverse set of metabolic flexibility indicators [e.g., energy expenditure (whole-body indirect calorimetry), glucose and insulin kinetics, metabolomics, transcriptomics]. Common standard approaches have been diabetes-centric with single-macronutrient challenges (oral-glucose-tolerance test) to characterize the postprandial response based on glucose and insulin metabolism; or broad measurements of energy expenditure with calculated macronutrient oxidation via indirect calorimetry. Recent methodological advances have included the use of multiple-macronutrient meal challenges that are more representative of physiologic meals consumed by free-living humans, combinatorial approaches for assays and instruments, evaluation of other metabolic flexibility indicators via precision health, systems biology, and temporal perspectives. Omics studies have identified potential novel indicators of metabolic flexibility, which provide greater granularity to prior evidence from canonical approaches. In summary, recent findings indicate the potential for an expanded understanding of postprandial metabolic flexibility, based on nonclassical measurements and methodology, which could represent novel dynamic indicators of metabolic diseases.
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Affiliation(s)
- Elaine A Yu
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ngoc-Anh Le
- Biomarker Core Laboratory, Foundation for Atlanta Veterans Education and Research (FAVER), Atlanta Veterans Affairs Health Care System (AVAHCS), Atlanta, GA, USA
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13
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Hunter AL, Pelekanou CE, Barron NJ, Northeast RC, Grudzien M, Adamson AD, Downton P, Cornfield T, Cunningham PS, Billaud JN, Hodson L, Loudon ASI, Unwin RD, Iqbal M, Ray DW, Bechtold DA. Adipocyte NR1D1 dictates adipose tissue expansion during obesity. eLife 2021; 10:e63324. [PMID: 34350828 PMCID: PMC8360653 DOI: 10.7554/elife.63324] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 07/30/2021] [Indexed: 12/13/2022] Open
Abstract
The circadian clock component NR1D1 (REVERBα) is considered a dominant regulator of lipid metabolism, with global Nr1d1 deletion driving dysregulation of white adipose tissue (WAT) lipogenesis and obesity. However, a similar phenotype is not observed under adipocyte-selective deletion (Nr1d1Flox2-6:AdipoqCre), and transcriptional profiling demonstrates that, under basal conditions, direct targets of NR1D1 regulation are limited, and include the circadian clock and collagen dynamics. Under high-fat diet (HFD) feeding, Nr1d1Flox2-6:AdipoqCre mice do manifest profound obesity, yet without the accompanying WAT inflammation and fibrosis exhibited by controls. Integration of the WAT NR1D1 cistrome with differential gene expression reveals broad control of metabolic processes by NR1D1 which is unmasked in the obese state. Adipocyte NR1D1 does not drive an anticipatory daily rhythm in WAT lipogenesis, but rather modulates WAT activity in response to alterations in metabolic state. Importantly, NR1D1 action in adipocytes is critical to the development of obesity-related WAT pathology and insulin resistance.
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Affiliation(s)
- Ann Louise Hunter
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Charlotte E Pelekanou
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Nichola J Barron
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Rebecca C Northeast
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Magdalena Grudzien
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Antony D Adamson
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Polly Downton
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Thomas Cornfield
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, and NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxfordUnited Kingdom
| | - Peter S Cunningham
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | | | - Leanne Hodson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, and NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxfordUnited Kingdom
| | - Andrew SI Loudon
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Richard D Unwin
- Stoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - Mudassar Iqbal
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
| | - David W Ray
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, and NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxfordUnited Kingdom
| | - David A Bechtold
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of ManchesterManchesterUnited Kingdom
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14
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Furse S, Williams HEL, Watkins AJ, Virtue S, Vidal-Puig A, Amarsi R, Charalambous M, Koulman A. A pipeline for making 31P NMR accessible for small- and large-scale lipidomics studies. Anal Bioanal Chem 2021; 413:4763-4773. [PMID: 34254158 PMCID: PMC8318958 DOI: 10.1007/s00216-021-03430-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/05/2021] [Accepted: 05/22/2021] [Indexed: 01/02/2023]
Abstract
Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental cellular structures. This has led to the use of a range of tools and techniques to acquire lipidomics data. 31P NMR for lipidomics offers well-resolved head group/lipid class analysis, structural data that can be used to inform and strengthen interpretation of mass spectrometry data and part of a priori structural determination. In the present study, we codify the use of 31P NMR for lipidomics studies to make the technique more accessible to new users and more useful for a wider range of questions. The technique can be used in isolation (phospholipidomics) or as a part of determining lipid composition (lipidomics). We describe the process from sample extraction to data processing and analysis. This pipeline is important because it allows greater thoroughness in lipidomics studies and increases scope for answering scientific questions about lipid-containing systems.
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Affiliation(s)
- Samuel Furse
- Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK.
- Metabolic Disease Unit, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK.
- Biological Chemistry Group, Jodrell Laboratory, Royal Botanic Gardens Kew, Richmond, TW9 3AE, UK.
| | - Huw E L Williams
- Biodiscovery Institute, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
| | - Adam J Watkins
- Division of Child Health, Obstetrics and Gynaecology, Faculty of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Samuel Virtue
- Metabolic Disease Unit, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Antonio Vidal-Puig
- Metabolic Disease Unit, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Risha Amarsi
- Department of Medical and Molecular Genetics, King's College London, Guys Hospital, WC2R 2LS, London, UK
| | - Marika Charalambous
- Department of Medical and Molecular Genetics, King's College London, Guys Hospital, WC2R 2LS, London, UK
| | - Albert Koulman
- Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK.
- Metabolic Disease Unit, Wellcome Trust-MRC Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK.
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15
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Braukmann F, Jordan D, Jenkins B, Koulman A, Miska EA. SID-2 negatively regulates development likely independent of nutritional dsRNA uptake. RNA Biol 2021; 18:888-899. [PMID: 33044912 PMCID: PMC8081039 DOI: 10.1080/15476286.2020.1827619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 01/05/2023] Open
Abstract
RNA interference (RNAi) is a gene regulatory mechanism based on RNA-RNA interaction conserved through eukaryotes. Surprisingly, many animals can take-up human-made double stranded RNA (dsRNA) from the environment to initiate RNAi suggesting a mechanism for dsRNA-based information exchange between organisms and their environment. However, no naturally occurring example has been identified since the discovery of the phenomenon 22 years ago. Therefore it remains enigmatic why animals are able to take up dsRNA. Here, we explore other possible functions by performing phenotypic studies of dsRNA uptake deficient sid-2 mutants in Caenorhabditis elegans. We find that SID-2 does not have a nutritional role in feeding experiments using genetic sensitized mutants. Furthermore, we use robot assisted imaging to show that sid-2 mutants accelerate growth rate and, by maternal contribution, body length at hatching. Finally, we perform transcriptome and lipidome analysis showing that sid-2 has no effect on energy storage lipids, but affects signalling lipids and the embryo transcriptome. Overall, these results suggest that sid-2 has mild effects on development and is unlikely functioning in the nutritional uptake of dsRNA. These findings broaden our understanding of the biological role of SID-2 and motivate studies identifying the role of environmental dsRNA uptake.
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Affiliation(s)
- Fabian Braukmann
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - David Jordan
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Benjamin Jenkins
- Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Albert Koulman
- Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Eric Alexander Miska
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
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16
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Petkevicius K, Bidault G, Virtue S, Newland SA, Dale M, Dugourd A, Saez-Rodriguez J, Mallat Z, Vidal-Puig A. Macrophage beta2-adrenergic receptor is dispensable for the adipose tissue inflammation and function. Mol Metab 2021; 48:101220. [PMID: 33774223 PMCID: PMC8086137 DOI: 10.1016/j.molmet.2021.101220] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/18/2021] [Accepted: 03/20/2021] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE Neuroimmune interactions between the sympathetic nervous system (SNS) and macrophages are required for the homeostasis of multiple tissues, including the adipose tissue. It has been proposed that the SNS maintains adipose tissue macrophages (ATMs) in an anti-inflammatory state via direct norepinephrine (NE) signaling to macrophages. This study aimed to investigate the physiological importance of this paradigm by utilizing a mouse model in which the adrenergic signaling from the SNS to macrophages, but not to other adipose tissue cells, was disrupted. METHODS We generated a macrophage-specific B2AR knockout mouse (Adrb2ΔLyz2) by crossing Adrb2fl/fl and Lyz2Cre/+ mice. We have previously shown that macrophages isolated from Adrb2ΔLyz2 animals do not respond to NE stimulation in vitro. Herein we performed a metabolic phenotyping of Adrb2ΔLyz2 mice on either chow or high-fat diet (HFD). We also assessed the adipose tissue function of Adrb2ΔLyz2 animals during fasting and cold exposure. Finally, we transplanted Adrb2ΔLyz2 bone marrow to low-density lipoprotein receptor (LDLR) knockout mice and investigated the development of atherosclerosis during Western diet feeding. RESULTS We demonstrated that SNS-associated ATMs have a transcriptional profile indicative of activated beta-2 adrenergic receptor (B2AR), the main adrenergic receptor isoform in myeloid cells. However, Adrb2ΔLyz2 mice have unaltered energy balance on a chow or HFD. Furthermore, Adrb2ΔLyz2 mice show similar levels of adipose tissue inflammation and function during feeding, fasting, or cold exposure, and develop insulin resistance during HFD at the same rate as controls. Finally, macrophage-specific B2AR deletion does not affect the development of atherosclerosis on an LDL receptor-null genetic background. CONCLUSIONS Overall, our data suggest that the SNS does not directly modulate the phenotype of adipose tissue macrophages in either lean mice or mouse models of cardiometabolic disease. Instead, sympathetic nerve activity exerts an indirect effect on adipose tissue macrophages through the modulation of adipocyte function.
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MESH Headings
- Adipocytes/metabolism
- Adipose Tissue, White/metabolism
- Animals
- Atherosclerosis/complications
- Atherosclerosis/genetics
- Atherosclerosis/metabolism
- Bone Marrow Transplantation/methods
- Cells, Cultured
- Diet, High-Fat/adverse effects
- Diet, Western/adverse effects
- Disease Models, Animal
- Female
- Insulin Resistance/genetics
- Macrophages/metabolism
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Knockout
- Obesity/complications
- Obesity/genetics
- Obesity/metabolism
- Panniculitis/genetics
- Panniculitis/metabolism
- Phenotype
- Receptors, Adrenergic, beta-2/genetics
- Receptors, Adrenergic, beta-2/metabolism
- Signal Transduction/genetics
- Sympathetic Nervous System/metabolism
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Affiliation(s)
- Kasparas Petkevicius
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, MDU MRC, Cambridge, United Kingdom.
| | - Guillaume Bidault
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, MDU MRC, Cambridge, United Kingdom
| | - Sam Virtue
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, MDU MRC, Cambridge, United Kingdom
| | - Stephen A Newland
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Martin Dale
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, MDU MRC, Cambridge, United Kingdom
| | - Aurelien Dugourd
- Joint Research Centre for Computational Biomedicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine & Heidelberg University Hospital, Heidelberg, Germany
| | - Julio Saez-Rodriguez
- Joint Research Centre for Computational Biomedicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine & Heidelberg University Hospital, Heidelberg, Germany
| | - Ziad Mallat
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Antonio Vidal-Puig
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, MDU MRC, Cambridge, United Kingdom; Wellcome Trust Sanger Institute, Hinxton, United Kingdom.
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17
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Alvarez-Guaita A, Patel S, Lim K, Haider A, Dong L, Conway OJ, Ma MKL, Chiarugi D, Saudek V, O'Rahilly S, Savage DB. Phenotypic characterization of Adig null mice suggests roles for adipogenin in the regulation of fat mass accrual and leptin secretion. Cell Rep 2021; 34:108810. [PMID: 33691105 PMCID: PMC7966854 DOI: 10.1016/j.celrep.2021.108810] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 12/23/2020] [Accepted: 02/09/2021] [Indexed: 12/25/2022] Open
Abstract
Adipogenin (Adig) is an adipocyte-enriched transmembrane protein. Its expression is induced during adipogenesis in rodent cells, and a recent genome-wide association study associated body mass index (BMI)-adjusted leptin levels with the ADIG locus. In order to begin to understand the biological function of Adig, we studied adipogenesis in Adig-deficient cultured adipocytes and phenotyped Adig null (Adig-/-) mice. Data from Adig-deficient cells suggest that Adig is required for adipogenesis. In vivo, Adig-/- mice are leaner than wild-type mice when fed a high-fat diet and when crossed with Ob/Ob hyperphagic mice. In addition to the impact on fat mass accrual, Adig deficiency also reduces fat-mass-adjusted plasma leptin levels and impairs leptin secretion from adipose explants, suggesting an additional impact on the regulation of leptin secretion.
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Affiliation(s)
- Anna Alvarez-Guaita
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Satish Patel
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Koini Lim
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Afreen Haider
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Liang Dong
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Olivia J Conway
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Marcella K L Ma
- MRC Metabolic Diseases Unit, University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Genomics and Transcriptomics Core, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Davide Chiarugi
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Vladimir Saudek
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - Stephen O'Rahilly
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK
| | - David B Savage
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, Cambridgeshire CB2 0QQ, UK.
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Lim K, Haider A, Adams C, Sleigh A, Savage DB. Lipodistrophy: a paradigm for understanding the consequences of "overloading" adipose tissue. Physiol Rev 2020; 101:907-993. [PMID: 33356916 DOI: 10.1152/physrev.00032.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Lipodystrophies have been recognized since at least the nineteenth century and, despite their rarity, tended to attract considerable medical attention because of the severity and somewhat paradoxical nature of the associated metabolic disease that so closely mimics that of obesity. Within the last 20 yr most of the monogenic subtypes have been characterized, facilitating family genetic screening and earlier disease detection as well as providing important insights into adipocyte biology and the systemic consequences of impaired adipocyte function. Even more recently, compelling genetic studies have suggested that subtle partial lipodystrophy is likely to be a major factor in prevalent insulin-resistant type 2 diabetes mellitus (T2DM), justifying the longstanding interest in these disorders. This progress has also underpinned novel approaches to treatment that, in at least some patients, can be of considerable therapeutic benefit.
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Affiliation(s)
- Koini Lim
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Afreen Haider
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Claire Adams
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Alison Sleigh
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - David B Savage
- Metabolic Research Laboratories, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
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19
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Baiges-Gaya G, Fernández-Arroyo S, Luciano-Mateo F, Cabré N, Rodríguez-Tomàs E, Hernández-Aguilera A, Castañé H, Romeu M, Nogués MR, Camps J, Joven J. Hepatic metabolic adaptation and adipose tissue expansion are altered in mice with steatohepatitis induced by high-fat high sucrose diet. J Nutr Biochem 2020; 89:108559. [PMID: 33264665 DOI: 10.1016/j.jnutbio.2020.108559] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 10/05/2020] [Accepted: 11/21/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Obesity is a chronic progressive disease with several metabolic alterations. Nonalcoholic fatty liver disease (NAFLD) is an important comorbidity of obesity that can progress to nonalcoholic steatohepatitis (NASH), cirrhosis or hepatocarcinoma. This study aimed at clarifying the molecular mechanisms underlying the metabolic alterations in hepatic and adipose tissue during high-fat high-sucrose diet-induced NAFLD development in mice. METHODS Twenty-four male mice (C57BL/6J) were randomly allocated into 3 groups (n = 8 mice per group) to receive a chow diet, a high-fat diet (HFD), or a high-fat high-sucrose diet (HF-HSD) for 20 weeks. At sacrifice, liver and adipose tissue were obtained for histopathological, metabolomic, and protein expression analyses. RESULTS HF-HSD (but not HFD) was associated with NASH and increased oxidative stress. These animals presented an inhibition of hepatic autophagy and alterations in AMP-activated protein kinase/mammalian target of rapamycin activity. We also observed that the ability of metabolic adaptation was adversely affected by the increase of damaged mitochondria. NASH development was associated with changes in adipose tissue dynamics and increased amounts of saturated fatty acids, monounsaturated fatty acids and polyunsaturated fatty acids in visceral adipose tissue. CONCLUSION HF-HSD led to a metabolic blockage and impaired hepatic mitochondria turnover. In addition, the continuous accumulation of fatty acids produced adipose tissue dysfunction and hepatic fat accumulation that favored the progression to NASH.
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Affiliation(s)
- Gerard Baiges-Gaya
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Salvador Fernández-Arroyo
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Fedra Luciano-Mateo
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Noemí Cabré
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Elisabet Rodríguez-Tomàs
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Anna Hernández-Aguilera
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Helena Castañé
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain
| | - Marta Romeu
- Universitat Rovira i Virgili, Departament de Ciències Mèdiques Bàsiques, Facultat de Medicina, Unitat de Farmacologia, Reus, Spain
| | - Maria-Rosa Nogués
- Universitat Rovira i Virgili, Departament de Ciències Mèdiques Bàsiques, Facultat de Medicina, Unitat de Farmacologia, Reus, Spain
| | - Jordi Camps
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain.
| | - Jorge Joven
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Facultat de Medicina, Reus, Spain; Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'investigació Sanitària Pere Virgili, Reus, Spain; Campus of International Excellence Southern Catalonia, Tarragona, Spain.
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20
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Jenkins B, Ronis M, Koulman A. LC-MS Lipidomics: Exploiting a Simple High-Throughput Method for the Comprehensive Extraction of Lipids in a Ruminant Fat Dose-Response Study. Metabolites 2020; 10:E296. [PMID: 32709069 PMCID: PMC7407148 DOI: 10.3390/metabo10070296] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 02/06/2023] Open
Abstract
Typical lipidomics methods incorporate a liquid-liquid extraction with LC-MS quantitation; however, the classic sample extraction methods are not high-throughput and do not perform well at extracting the full range of lipids especially, the relatively polar species (e.g., acyl-carnitines and glycosphingolipids). In this manuscript, we present a novel sample extraction protocol, which produces a single phase supernatant suitable for high-throughput applications that offers greater performance in extracting lipids across the full spectrum of species. We applied this lipidomics pipeline to a ruminant fat dose-response study to initially compare and validate the different extraction protocols but also to investigate complex lipid biomarkers of ruminant fat intake (adjoining onto simple odd chain fatty acid correlations). We have found 100 lipids species with a strong correlation with ruminant fat intake. This novel sample extraction along with the LC-MS pipeline have shown to be sensitive, robust and hugely informative (>450 lipids species semi-quantified): with a sample preparation throughput of over 100 tissue samples per day and an estimated ~1000 biological fluid samples per day. Thus, this work facilitating both the epidemiological involvement of ruminant fat, research into odd chain lipids and also streamlining the field of lipidomics (both by sample preparation methods and data presentation).
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Affiliation(s)
- Benjamin Jenkins
- NIHR BRC Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Pathology Building Level 4, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK;
| | - Martin Ronis
- College of Medicine, Department of Pharmacology & Experimental Therapeutics, Louisiana State University Health Sciences Centre, 1901 Perdido Str., New Orleans, LA 70112, USA;
| | - Albert Koulman
- NIHR BRC Core Metabolomics and Lipidomics Laboratory, University of Cambridge, Pathology Building Level 4, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK;
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21
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Vacca M, Leslie J, Virtue S, Lam BYH, Govaere O, Tiniakos D, Snow S, Davies S, Petkevicius K, Tong Z, Peirce V, Nielsen MJ, Ament Z, Li W, Kostrzewski T, Leeming DJ, Ratziu V, Allison MED, Anstee QM, Griffin JL, Oakley F, Vidal-Puig A. Bone morphogenetic protein 8B promotes the progression of non-alcoholic steatohepatitis. Nat Metab 2020; 2:514-531. [PMID: 32694734 DOI: 10.1038/s42255-020-0214-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022]
Abstract
Non-alcoholic steatohepatitis (NASH) is characterized by lipotoxicity, inflammation and fibrosis, ultimately leading to end-stage liver disease. The molecular mechanisms promoting NASH are poorly understood, and treatment options are limited. Here, we demonstrate that hepatic expression of bone morphogenetic protein 8B (BMP8B), a member of the transforming growth factor beta (TGFβ)-BMP superfamily, increases proportionally to disease stage in people and animal models with NASH. BMP8B signals via both SMAD2/3 and SMAD1/5/9 branches of the TGFβ-BMP pathway in hepatic stellate cells (HSCs), promoting their proinflammatory phenotype. In vivo, the absence of BMP8B prevents HSC activation, reduces inflammation and affects the wound-healing responses, thereby limiting NASH progression. Evidence is featured in primary human 3D microtissues modelling NASH, when challenged with recombinant BMP8. Our data show that BMP8B is a major contributor to NASH progression. Owing to the near absence of BMP8B in healthy livers, inhibition of BMP8B may represent a promising new therapeutic avenue for NASH treatment.
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Affiliation(s)
- Michele Vacca
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
| | - Jack Leslie
- Newcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Samuel Virtue
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - Brian Y H Lam
- Yeo Group and Genomics and Transcriptomics Core, WT/MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Olivier Govaere
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Dina Tiniakos
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Department of Pathology, Aretaieion Hospital, Medical School, National & Kapodistrian University of Athens, Athens, Greece
| | | | - Susan Davies
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge, UK
| | - Kasparas Petkevicius
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - Zhen Tong
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Vivian Peirce
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | | | - Zsuzsanna Ament
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK
| | - Wei Li
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | | | - Vlad Ratziu
- Sorbonne Université, Institute for Cardiometabolism and Nutrition (ICAN), Hôpital Pitié-Salpêtrière, Paris, France
| | - Michael E D Allison
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge, UK
| | - Quentin M Anstee
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Julian L Griffin
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK
- Biomolecular Medicine, Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Fiona Oakley
- Newcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Antonio Vidal-Puig
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
- Welcome Trust Sanger Institute, Hinxton, UK.
- Cambridge University Nanjing Centre of Technology and Innovation, Jiangbei Area, Nanjing, P R China.
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22
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Azzu V, Vacca M, Virtue S, Allison M, Vidal-Puig A. Adipose Tissue-Liver Cross Talk in the Control of Whole-Body Metabolism: Implications in Nonalcoholic Fatty Liver Disease. Gastroenterology 2020; 158:1899-1912. [PMID: 32061598 DOI: 10.1053/j.gastro.2019.12.054] [Citation(s) in RCA: 146] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/20/2019] [Accepted: 12/04/2019] [Indexed: 02/06/2023]
Abstract
Adipose tissue and the liver play significant roles in the regulation of whole-body energy homeostasis, but they have not evolved to cope with the continuous, chronic, nutrient surplus seen in obesity. In this review, we detail how prolonged metabolic stress leads to adipose tissue dysfunction, inflammation, and adipokine release that results in increased lipid flux to the liver. Overall, the upshot of hepatic fat accumulation alongside an insulin-resistant state is that hepatic lipid enzymatic pathways are modulated and overwhelmed, resulting in the selective buildup of toxic lipid species, which worsens the pro-inflammatory and pro-fibrotic shift observed in nonalcoholic steatohepatitis.
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Affiliation(s)
- Vian Azzu
- Wellcome Trust-Medical Research Council Institute of Metabolic Science-Metabolic Research Laboratories, Addenbrooke's Hospital; The Liver Unit, Department of Medicine, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge.
| | - Michele Vacca
- Wellcome Trust-Medical Research Council Institute of Metabolic Science-Metabolic Research Laboratories, Addenbrooke's Hospital
| | - Samuel Virtue
- Wellcome Trust-Medical Research Council Institute of Metabolic Science-Metabolic Research Laboratories, Addenbrooke's Hospital
| | - Michael Allison
- The Liver Unit, Department of Medicine, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge
| | - Antonio Vidal-Puig
- Wellcome Trust-Medical Research Council Institute of Metabolic Science-Metabolic Research Laboratories, Addenbrooke's Hospital; Wellcome Trust Sanger Institute, Hinxton, United Kingdom
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23
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Burton NO, Riccio C, Dallaire A, Price J, Jenkins B, Koulman A, Miska EA. Cysteine synthases CYSL-1 and CYSL-2 mediate C. elegans heritable adaptation to P. vranovensis infection. Nat Commun 2020; 11:1741. [PMID: 32269224 PMCID: PMC7142082 DOI: 10.1038/s41467-020-15555-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 03/19/2020] [Indexed: 11/09/2022] Open
Abstract
Parental exposure to pathogens can prime offspring immunity in diverse organisms. The mechanisms by which this heritable priming occurs are largely unknown. Here we report that the soil bacteria Pseudomonas vranovensis is a natural pathogen of the nematode Caenorhabditis elegans and that parental exposure of animals to P. vranovensis promotes offspring resistance to infection. Furthermore, we demonstrate a multigenerational enhancement of progeny survival when three consecutive generations of animals are exposed to P. vranovensis. By investigating the mechanisms by which animals heritably adapt to P. vranovensis infection, we found that parental infection by P. vranovensis results in increased expression of the cysteine synthases cysl-1 and cysl-2 and the regulator of hypoxia inducible factor rhy-1 in progeny, and that these three genes are required for adaptation to P. vranovensis. These observations establish a CYSL-1, CYSL-2, and RHY-1 dependent mechanism by which animals heritably adapt to infection.
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Affiliation(s)
- Nicholas O Burton
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EG, UK.
| | - Cristian Riccio
- Gurdon Institute, University of Cambridge, Cambridge, CB2 1QN, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK
| | - Alexandra Dallaire
- Gurdon Institute, University of Cambridge, Cambridge, CB2 1QN, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK
| | - Jonathan Price
- Gurdon Institute, University of Cambridge, Cambridge, CB2 1QN, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK
| | - Benjamin Jenkins
- Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Albert Koulman
- Metabolic Research Laboratories, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Eric A Miska
- Gurdon Institute, University of Cambridge, Cambridge, CB2 1QN, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK
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Wang Z, Zuo Z, Li L, Ren S, Gao T, Fu J, Hou Y, Chen Y, Pi J. Nrf2 in adipocytes. Arch Pharm Res 2020; 43:350-60. [DOI: 10.1007/s12272-020-01227-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/13/2020] [Indexed: 12/13/2022]
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25
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Furse S, Fernandez-Twinn DS, Jenkins B, Meek CL, Williams HEL, Smith GCS, Charnock-Jones DS, Ozanne SE, Koulman A. A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues. Anal Bioanal Chem 2020; 412:2851-2862. [PMID: 32144454 PMCID: PMC7196091 DOI: 10.1007/s00216-020-02511-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 01/31/2020] [Accepted: 02/12/2020] [Indexed: 02/02/2023]
Abstract
Lipidomics is of increasing interest in studies of biological systems. However, high-throughput data collection and processing remains non-trivial, making assessment of phenotypes difficult. We describe a platform for surveying the lipid fraction for a range of tissues. These techniques are demonstrated on a set of seven different tissues (serum, brain, heart, kidney, adipose, liver, and vastus lateralis muscle) from post-weaning mouse dams that were either obese (> 12 g fat mass) or lean (<5 g fat mass). This showed that the lipid metabolism in some tissues is affected more by obesity than others. Analysis of human serum (healthy non-pregnant women and pregnant women at 28 weeks' gestation) showed that the abundance of several phospholipids differed between groups. Human placenta from mothers with high and low BMI showed that lean placentae contain less polyunsaturated lipid. This platform offers a way to map lipid metabolism with immediate application in metabolic research and elsewhere. Graphical abstract.
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Affiliation(s)
- Samuel Furse
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK ,grid.5335.00000000121885934Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge,, Box 289, Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
| | - Denise S. Fernandez-Twinn
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK
| | - Benjamin Jenkins
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK ,grid.5335.00000000121885934Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge,, Box 289, Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
| | - Claire L. Meek
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK ,grid.24029.3d0000 0004 0383 8386Department of Clinical Biochemistry/Wolfson Diabetes & Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ UK
| | - Huw E. L. Williams
- grid.4563.40000 0004 1936 8868Centre for Biomolecular Sciences, School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD UK
| | - Gordon C. S. Smith
- grid.5335.00000000121885934Department of Obstetrics and Gynaecology, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, CB2 0SW UK ,grid.5335.00000000121885934Centre for Trophoblast Research, University of Cambridge, Cambridge, CB2 3EG UK
| | - D. Stephen Charnock-Jones
- grid.5335.00000000121885934Department of Obstetrics and Gynaecology, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, CB2 0SW UK ,grid.5335.00000000121885934Centre for Trophoblast Research, University of Cambridge, Cambridge, CB2 3EG UK
| | - Susan E. Ozanne
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK
| | - Albert Koulman
- grid.5335.00000000121885934Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK ,grid.5335.00000000121885934Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge,, Box 289, Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
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26
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Furse S, White SL, Meek CL, Jenkins B, Petry CJ, Vieira MC, Ozanne SE, Dunger DB, Poston L, Koulman A. Altered triglyceride and phospholipid metabolism predates the diagnosis of gestational diabetes in obese pregnancy. Mol Omics 2019; 15:420-430. [PMID: 31599289 PMCID: PMC7100894 DOI: 10.1039/c9mo00117d] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Gestational diabetes (GDM), a common pregnancy complication associated with obesity and long-term health risks, is usually diagnosed at approximately 28 weeks of gestation. An understanding of lipid metabolism in women at risk of GDM could contribute to earlier diagnosis and treatment. We tested the hypothesis that altered lipid metabolism at the beginning of the second trimester in obese pregnant women is associated with a diagnosis of GDM. Plasma samples from 831 participants (16-45 years, 15-18 weeks gestation, BMI ≥ 30) from the UPBEAT study of obese pregnant women were used. The lipid, sterol and glyceride fraction was isolated and analysed in a semi-quantitative fashion using direct infusion mass spectrometry. A combination of uni-, multi-variate and multi-variable statistical analyses was used to identify candidate biomarkers in plasma associated with a diagnosis of GDM (early third trimester; IADPSG criteria). Multivariable adjusted analyses showed that participants who later developed GDM had a greater abundance of several triglycerides (48:0, 50:1, 50:2, 51:5, 53:4) and phosphatidylcholine (38:5). In contrast sphingomyelins (32:1, 41:2, 42:3), lyso-phosphatidylcholine (16:0, 18:1), phosphatidylcholines (35:2, 40:7, 40:10), two polyunsaturated triglycerides (46:5, 48:6) and several oxidised triglycerides (48:6, 54:4, 56:4, 58:6) were less abundant. We concluded that both lipid and triglyceride metabolism were altered at least 10 weeks before diagnosis of GDM. Further investigation is required to determine the functional consequences of these differences and the mechanisms by which they arise.
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Affiliation(s)
- Samuel Furse
- Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, UK.
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Abstract
OBJECTIVES The thermogenic brown adipose tissue (BAT) has been proposed as a potential target to prevent or treat obesity and related metabolic diseases. BAT secretes adipokines to regulate the thermogenic program in an autocrine or paracrine manner. Follistatin-like 1 (FSTL1), a glycoprotein involved in adipogenesis and obesity, however, the function of FSTL1 in BAT thermogenesis and in the regulation of systemic energy homeostasis are not fully understood. METHODS Whole-body ablation Fstl1 heterozygous mice (Fstl1+/-) and its littermates control were injected with CL316,243 to assess energy balance. A series of FSTL1 overexpression and knockdown experiments were carried out to evaluate its function in regulating thermogenic gene expression in brown adipocytes. RESULTS FSTL1 expression was induced upon BAT activation during cold challenge or β3-adrenergic activation. FSTL1 haploinsufficiency in mice led to reduced thermogenic gene expression, impaired BAT recruitment, and decreased heat production. FSTL1 cell-autonomously promoted the β3-adrenergic signaling, which was required to upregulate PPARγ and UCP1 in brown adipocytes. Furthermore, only glycosylated FSTL1 could be secreted from brown adipocytes to induce the β3-adrenergic activation. CONCLUSIONS Our results suggest FSTL1 as a novel stimulator of the β-adrenergic signaling and BAT thermogenesis.
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Affiliation(s)
- Dongliang Fang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Human Anatomy, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Xinyi Shi
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Human Anatomy, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Tao Lu
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Human Anatomy, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Haibin Ruan
- Department of Integrative Biology and Physiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Yan Gao
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Human Anatomy, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
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Broekema M, Savage D, Monajemi H, Kalkhoven E. Gene-gene and gene-environment interactions in lipodystrophy: Lessons learned from natural PPARγ mutants. Biochim Biophys Acta Mol Cell Biol Lipids 2019; 1864:715-732. [DOI: 10.1016/j.bbalip.2019.02.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 01/13/2019] [Accepted: 02/02/2019] [Indexed: 12/13/2022]
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