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Frances L, Croyal M, Ruidavets JB, Maraninchi M, Combes G, Raffin J, de Souto Barreto P, Ferrières J, Blaak EE, Perret B, Moro C, Valéro R, Martinez LO, Viguerie N. Identification of circulating apolipoprotein M as a new determinant of insulin sensitivity and relationship with adiponectin. Int J Obes (Lond) 2024; 48:973-980. [PMID: 38491190 PMCID: PMC11216985 DOI: 10.1038/s41366-024-01510-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/28/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND The adiponectin is one of the rare adipokines down-regulated with obesity and protects against obesity-related disorders. Similarly, the apolipoprotein M (apoM) is expressed in adipocytes and its expression in adipose tissue is associated with metabolic health. We compared circulating apoM with adiponectin regarding their relationship with metabolic parameters and insulin sensitivity and examined their gene expression patterns in adipocytes and in the adipose tissue. METHODS Circulating apoM and adiponectin were examined in 169 men with overweight in a cross-sectional study, and 13 patients with obesity during a surgery-induced slimming program. Correlations with clinical parameters including the insulin resistance index (HOMA-IR) were analyzed. Multiple regression analyses were performed on HOMA-IR. The APOM and ADIPOQ gene expression were measured in the adipose tissue from 267 individuals with obesity and a human adipocyte cell line. RESULTS Participants with type 2 diabetes had lower circulating adiponectin and apoM, while apoM was higher in individuals with dyslipidemia. Similar to adiponectin, apoM showed negative associations with HOMA-IR and hs-CRP (r < -0.2), and positive correlations with HDL markers (HDL-C and apoA-I, r > 0.3). Unlike adiponectin, apoM was positively associated with LDL markers (LDL-C and apoB100, r < 0.20) and negatively correlated with insulin and age (r < -0.2). The apoM was the sole negative determinant of HOMA-IR in multiple regression models, while adiponectin not contributing significantly. After surgery, the change in HOMA-IR was negatively associated with the change in circulating apoM (r = -0.71), but not with the change in adiponectin. The APOM and ADIPOQ gene expression positively correlated in adipose tissue (r > 0.44) as well as in adipocytes (r > 0.81). In adipocytes, APOM was downregulated by inflammatory factors and upregulated by adiponectin. CONCLUSIONS The apoM rises as a new partner of adiponectin regarding insulin sensitivity. At the adipose tissue level, the adiponectin may be supported by apoM to promote a healthy adipose tissue. TRIAL REGISTRATION NCT01277068, registered 13 January 2011; NCT02332434, registered 5 January 2015; and NCT00390637, registered 20 October 2006.
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Affiliation(s)
- Laurie Frances
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France
| | - Mikaël Croyal
- Nantes Université, CHU Nantes, CNRS, INSERM, BioCore, US16, SFR Bonamy, 44000, Nantes, France
- CRNH-Ouest Mass Spectrometry Core Facility, 44000, Nantes, France
- Nantes Université, CHU Nantes, CNRS, INSERM, l'Institut du Thorax, 44000, Nantes, France
| | | | - Marie Maraninchi
- Aix Marseille Université, APHM, INSERM, INRAe, C2VN, Department of Nutrition, Metabolic Diseases and Endocrinology, University Hospital La Conception, 13385, Marseille, France
| | - Guillaume Combes
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France
- Institut Hospitalo-Universitaire HealthAge, IHU HealthAge, Inserm, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
| | - Jérémy Raffin
- Institut Hospitalo-Universitaire HealthAge, IHU HealthAge, Inserm, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31000, Toulouse, France
| | - Philippe de Souto Barreto
- CERPOP UMR 1295, University of Toulouse III, Inserm, UPS, 31000, Toulouse, France
- Institut Hospitalo-Universitaire HealthAge, IHU HealthAge, Inserm, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31000, Toulouse, France
| | - Jean Ferrières
- CERPOP UMR 1295, University of Toulouse III, Inserm, UPS, 31000, Toulouse, France
- Department of Cardiology, Toulouse Rangueil University Hospital, Toulouse University School of Medicine, Toulouse, France
| | - Ellen E Blaak
- Department of Human Biology, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+(MUMC+), Maastricht, The Netherlands
| | - Bertrand Perret
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France
- Institut Hospitalo-Universitaire HealthAge, IHU HealthAge, Inserm, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
| | - Cédric Moro
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France
| | - René Valéro
- Aix Marseille Université, APHM, INSERM, INRAe, C2VN, Department of Nutrition, Metabolic Diseases and Endocrinology, University Hospital La Conception, 13385, Marseille, France
| | - Laurent O Martinez
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France.
- Institut Hospitalo-Universitaire HealthAge, IHU HealthAge, Inserm, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France.
| | - Nathalie Viguerie
- Institut des Maladies Métaboliques et Cardiovasculaires, I2MC, Université de Toulouse, INSERM, Université Toulouse III - Paul Sabatier (UPS), UMR1297, 31432, Toulouse, France.
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Zhang Y, Bobe G, Miranda CL, Lowry MB, Hsu VL, Lohr CV, Wong CP, Jump DB, Robinson MM, Sharpton TJ, Maier CS, Stevens JF, Gombart AF. Tetrahydroxanthohumol, a xanthohumol derivative, attenuates high-fat diet-induced hepatic steatosis by antagonizing PPARγ. eLife 2021; 10:e66398. [PMID: 34128467 PMCID: PMC8205491 DOI: 10.7554/elife.66398] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 05/18/2021] [Indexed: 12/13/2022] Open
Abstract
We previously reported xanthohumol (XN), and its synthetic derivative tetrahydro-XN (TXN), attenuates high-fat diet (HFD)-induced obesity and metabolic syndrome in C57Bl/6J mice. The objective of the current study was to determine the effect of XN and TXN on lipid accumulation in the liver. Non-supplemented mice were unable to adapt their caloric intake to 60% HFD, resulting in obesity and hepatic steatosis; however, TXN reduced weight gain and decreased hepatic steatosis. Liver transcriptomics indicated that TXN might antagonize lipogenic PPARγ actions in vivo. XN and TXN inhibited rosiglitazone-induced 3T3-L1 cell differentiation concomitant with decreased expression of lipogenesis-related genes. A peroxisome proliferator activated receptor gamma (PPARγ) competitive binding assay showed that XN and TXN bind to PPARγ with an IC50 similar to pioglitazone and 8-10 times stronger than oleate. Molecular docking simulations demonstrated that XN and TXN bind in the PPARγ ligand-binding domain pocket. Our findings are consistent with XN and TXN acting as antagonists of PPARγ.
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Affiliation(s)
- Yang Zhang
- School of Biological and Population Health Sciences, Nutrition Program, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Gerd Bobe
- Department of Animal Sciences, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Cristobal L Miranda
- Department of Pharmaceutical Sciences, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Malcolm B Lowry
- Department of Microbiology, Oregon State UniversityCorvallisUnited States
| | - Victor L Hsu
- Department of Biochemistry and Biophysics, Oregon State UniversityCorvallisUnited States
| | - Christiane V Lohr
- Department of Biomedical Science, Carlson College of Veterinary MedicineCorvallisUnited States
| | - Carmen P Wong
- School of Biological and Population Health Sciences, Nutrition Program, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Donald B Jump
- School of Biological and Population Health Sciences, Nutrition Program, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Matthew M Robinson
- School of Biological and Population Health Sciences, Kinesiology Program, Oregon State UniversityCorvallisUnited States
| | - Thomas J Sharpton
- Department of Microbiology, Department of Statistics, Oregon State UniversityCorvallisUnited States
| | - Claudia S Maier
- Department of Chemistry, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Jan F Stevens
- Department of Pharmaceutical Sciences, Linus Pauling Institute, Oregon State UniversityCorvallisUnited States
| | - Adrian F Gombart
- Linus Pauling Institute, Department of Biochemistry and Biophysics, Oregon State UniversityCorvallisUnited States
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Pappas F, Palaiokostas C. Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr ( Salvelinus alpinus). Animals (Basel) 2021; 11:899. [PMID: 33801139 PMCID: PMC8004150 DOI: 10.3390/ani11030899] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/13/2021] [Accepted: 03/16/2021] [Indexed: 12/17/2022] Open
Abstract
Incorporation of genomic technologies into fish breeding programs is a modern reality, promising substantial advances regarding the accuracy of selection, monitoring the genetic diversity and pedigree record verification. Single nucleotide polymorphism (SNP) arrays are the most commonly used genomic tool, but the investments required make them unsustainable for emerging species, such as Arctic charr (Salvelinus alpinus), where production volume is low. The requirement to genotype a large number of animals for breeding practices necessitates cost effective genotyping approaches. In the current study, we used double digest restriction site-associated DNA (ddRAD) sequencing of either high or low coverage to genotype Arctic charr from the Swedish national breeding program and performed analytical procedures to assess their utility in a range of tasks. SNPs were identified and used for deciphering the genetic structure of the studied population, estimating genomic relationships and implementing an association study for growth-related traits. Missing information and underestimation of heterozygosity in the low coverage set were limiting factors in genetic diversity and genomic relationship analyses, where high coverage performed notably better. On the other hand, the high coverage dataset proved to be valuable when it comes to identifying loci that are associated with phenotypic traits of interest. In general, both genotyping strategies offer sustainable alternatives to hybridization-based genotyping platforms and show potential for applications in aquaculture selective breeding.
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Affiliation(s)
| | - Christos Palaiokostas
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, P.O. Box 7090, 750 07 Uppsala, Sweden;
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Wang X, Mao J, Zhou X, Li Q, Gao L, Zhao J. Thyroid Stimulating Hormone Triggers Hepatic Mitochondrial Stress through Cyclophilin D Acetylation. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:1249630. [PMID: 31998431 PMCID: PMC6970002 DOI: 10.1155/2020/1249630] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 09/01/2019] [Accepted: 09/14/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS Oxidative stress-related liver diseases were shown to be associated with elevated serum thyroid stimulating hormone (TSH) levels. Mitochondria are the main source of cellular reactive oxygen species. However, the relationship between TSH and hepatic mitochondrial stress/dysfunction and the underlying mechanisms are largely unknown. Here, we focused on exploring the effects and mechanism of TSH on hepatic mitochondrial stress. METHODS As the function of TSH is mediated through the TSH receptor (TSHR), Tshr -/- mice and liver-specific Tshr -/- mice and liver-specific Tshr -/- mice and liver-specific. RESULTS A relatively lower degree of mitochondrial stress was observed in the livers of Tshr -/- mice and liver-specific in vitro. Microarray and RT-PCR analyses showed that Tshr -/- mice and liver-specific. CONCLUSIONS TSH stimulates hepatic CypD acetylation through the lncRNA-AK044604/SIRT1/SIRT3 signaling pathway, indicating an essential role for TSH in mitochondrial stress in the liver.
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Affiliation(s)
- Xiaolei Wang
- Shandong Institute of Endocrine & Metabolic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250014, China
| | - Jinbao Mao
- Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Xinli Zhou
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Qiu Li
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Ling Gao
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Jinan 250021, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Jinan 250021, China
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Yao S, Zhang J, Zhan Y, Shi Y, Yu Y, Zheng L, Xu N, Luo G. Insulin Resistance in Apolipoprotein M Knockout Mice is Mediated by the Protein Kinase Akt Signaling Pathway. Endocr Metab Immune Disord Drug Targets 2020; 20:771-780. [PMID: 31702495 PMCID: PMC7360917 DOI: 10.2174/1871530319666191023125820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/12/2019] [Accepted: 09/13/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Previous clinical studies have suggested that apolipoprotein M (apoM) is involved in glucose metabolism and plays a causative role in insulin sensitivity. OBJECTIVE The potential mechanism of apoM on modulating glucose homeostasis is explored and differentially expressed genes are analyzed by employing ApoM deficient (ApoM-/- ) and wild type (WT) mice. METHODS The metabolism of glucose in the hepatic tissues of high-fat diet ApoM-/- and WT mice was measured by a glycomics approach. Bioinformatic analysis was applied for analyzing the levels of differentially expressed mRNAs in the liver tissues of these mice. The insulin sensitivity of ApoM-/- and WT mice was compared using the insulin tolerance test and the phosphorylation levels of protein kinase Akt (AKT) and insulin stimulation in different tissues were examined by Western blot. RESULTS The majority of the hepatic glucose metabolites exhibited lower concentration levels in the ApoM-/- mice compared with those of the WT mice. Gene Ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that ApoM deficiency affected the genes associated with the metabolism of glucose. The insulin tolerance test suggested that insulin sensitivity was impaired in ApoM-/- mice. The phosphorylation levels of AKT in muscle and adipose tissues of ApoM-/- mice were significantly diminished in response to insulin stimulation compared with those noted in WT mice. CONCLUSION ApoM deficiency led to the disorders of glucose metabolism and altered genes related to glucose metabolism in mice liver. In vivo data indicated that apoM might augment insulin sensitivity by AKT-dependent mechanism.
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Affiliation(s)
| | | | | | | | | | | | - Ning Xu
- Address correspondence to these two authors at the Comprehensive Laboratory, the Third Affiliated Hospital of Soochow University, 213003, Changzhou, China; Tel: +86-0519-68870619; E-mail: , and the Section of Clinical Chemistry & Pharmacology, Institute of Laboratory Medicine, Lunds University, S-22185 Lund, Sweden; E-mail:
| | - Guanghua Luo
- Address correspondence to these two authors at the Comprehensive Laboratory, the Third Affiliated Hospital of Soochow University, 213003, Changzhou, China; Tel: +86-0519-68870619; E-mail: , and the Section of Clinical Chemistry & Pharmacology, Institute of Laboratory Medicine, Lunds University, S-22185 Lund, Sweden; E-mail:
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