1
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Yew MJ, Heywood SE, Ng J, West OM, Pal M, Kueh A, Lancaster GI, Myers S, Yang C, Liu Y, Reibe S, Mellett NA, Meikle PJ, Febbraio MA, Greening DW, Drew BG, Henstridge DC. ACAD10 is not required for metformin's metabolic actions or for maintenance of whole-body metabolism in C57BL/6J mice. Diabetes Obes Metab 2024; 26:1731-1745. [PMID: 38351663 DOI: 10.1111/dom.15484] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 04/09/2024]
Abstract
AIM Acyl-coenzyme A dehydrogenase family member 10 (ACAD10) is a mitochondrial protein purported to be involved in the fatty acid oxidation pathway. Metformin is the most prescribed therapy for type 2 diabetes; however, its precise mechanisms of action(s) are still being uncovered. Upregulation of ACAD10 is a requirement for metformin's ability to inhibit growth in cancer cells and extend lifespan in Caenorhabditis elegans. However, it is unknown whether ACAD10 plays a role in metformin's metabolic actions. MATERIALS AND METHODS We assessed the role for ACAD10 on whole-body metabolism and metformin action by generating ACAD10KO mice on a C57BL/6J background via CRISPR-Cas9 technology. In-depth metabolic phenotyping was conducted in both sexes on a normal chow and high fat-high sucrose diet. RESULTS Compared with wildtype mice, we detected no difference in body composition, energy expenditure or glucose tolerance in male or female ACAD10KO mice, on a chow diet or high-fat, high-sucrose diet (p ≥ .05). Hepatic mitochondrial function and insulin signalling was not different between genotypes under basal or insulin-stimulated conditions (p ≥ .05). Glucose excursions following acute administration of metformin before a glucose tolerance test were not different between genotypes nor was body composition or energy expenditure altered after 4 weeks of daily metformin treatment (p ≥ .05). Despite the lack of a metabolic phenotype, liver lipidomic analysis suggests ACAD10 depletion influences the abundance of specific ceramide species containing very long chain fatty acids, while metformin treatment altered clusters of cholesterol ester, plasmalogen, phosphatidylcholine and ceramide species. CONCLUSIONS Loss of ACAD10 does not alter whole-body metabolism or impact the acute or chronic metabolic actions of metformin in this model.
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Affiliation(s)
- Michael J Yew
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Sarah E Heywood
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Joe Ng
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Olivia M West
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Martin Pal
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- School of Dentistry and Medical Sciences, Charles Sturt University, Wagga Wagga, New South Wales, Australia
| | - Andrew Kueh
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Stephen Myers
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
| | - Christine Yang
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Yingying Liu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Saskia Reibe
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- University of Oxford, Oxford, UK
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Mark A Febbraio
- Monash Institute of Pharmaceutical Sciences, Melbourne, Victoria, Australia
| | - David W Greening
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Brian G Drew
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Darren C Henstridge
- School of Health Sciences, The University of Tasmania, Launceston, Tasmania, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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2
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Venkatesh SS, Wittemans LBL, Palmer DS, Baya NA, Ferreira T, Hill B, Lassen FH, Parker MJ, Reibe S, Elhakeem A, Banasik K, Bruun MT, Erikstrup C, Jensen BA, Juul A, Mikkelsen C, Nielsen HS, Ostrowski SR, Pedersen OB, Rohde PD, Sorensen E, Ullum H, Westergaard D, Haraldsson A, Holm H, Jonsdottir I, Olafsson I, Steingrimsdottir T, Steinthorsdottir V, Thorleifsson G, Figueredo J, Karjalainen MK, Pasanen A, Jacobs BM, Hubers N, Lippincott M, Fraser A, Lawlor DA, Timpson NJ, Nyegaard M, Stefansson K, Magi R, Laivuori H, van Heel DA, Boomsma DI, Balasubramanian R, Seminara SB, Chan YM, Laisk T, Lindgren CM. Genome-wide analyses identify 21 infertility loci and over 400 reproductive hormone loci across the allele frequency spectrum. medRxiv 2024:2024.03.19.24304530. [PMID: 38562841 PMCID: PMC10984039 DOI: 10.1101/2024.03.19.24304530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Genome-wide association studies (GWASs) may help inform treatments for infertility, whose causes remain unknown in many cases. Here we present GWAS meta-analyses across six cohorts for male and female infertility in up to 41,200 cases and 687,005 controls. We identified 21 genetic risk loci for infertility (P≤5E-08), of which 12 have not been reported for any reproductive condition. We found positive genetic correlations between endometriosis and all-cause female infertility (rg=0.585, P=8.98E-14), and between polycystic ovary syndrome and anovulatory infertility (rg=0.403, P=2.16E-03). The evolutionary persistence of female infertility-risk alleles in EBAG9 may be explained by recent directional selection. We additionally identified up to 269 genetic loci associated with follicle-stimulating hormone (FSH), luteinising hormone, oestradiol, and testosterone through sex-specific GWAS meta-analyses (N=6,095-246,862). While hormone-associated variants near FSHB and ARL14EP colocalised with signals for anovulatory infertility, we found no rg between female infertility and reproductive hormones (P>0.05). Exome sequencing analyses in the UK Biobank (N=197,340) revealed that women carrying testosterone-lowering rare variants in GPC2 were at higher risk of infertility (OR=2.63, P=1.25E-03). Taken together, our results suggest that while individual genes associated with hormone regulation may be relevant for fertility, there is limited genetic evidence for correlation between reproductive hormones and infertility at the population level. We provide the first comprehensive view of the genetic architecture of infertility across multiple diagnostic criteria in men and women, and characterise its relationship to other health conditions.
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Affiliation(s)
- Samvida S Venkatesh
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Laura B L Wittemans
- Novo Nordisk Research Centre Oxford, Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, United Kingdom
| | - Duncan S Palmer
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Nikolas A Baya
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Teresa Ferreira
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Barney Hill
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Frederik Heymann Lassen
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Melody J Parker
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Saskia Reibe
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Copenhagen University Hospital, Hvidovre, Copenhagen, Denmark
| | - Mie T Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Health, Aarhus University, Aarhus, Denmark
| | - Bitten A Jensen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Anders Juul
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen; Copenhagen, Denmark
- Department of Growth and Reproduction, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Christina Mikkelsen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, Copenhagen University, Copenhagen, Denmark
| | - Henriette S Nielsen
- Department of Obstetrics and Gynecology, The Fertility Clinic, Hvidovre University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole B Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Kge, Denmark
| | - Palle D Rohde
- Genomic Medicine, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Erik Sorensen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - David Westergaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Copenhagen University Hospital, Hvidovre, Copenhagen, Denmark
| | - Asgeir Haraldsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Children's Hospital Iceland, Landspitali University Hospital, Reykjavik, Iceland
| | - Hilma Holm
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
| | - Ingileif Jonsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
| | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali University Hospital, Reykjavik, Iceland
| | - Thora Steingrimsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Obstetrics and Gynecology, Landspitali University Hospital, Reykjavik, Iceland
| | | | | | - Jessica Figueredo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Minna K Karjalainen
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Finland
- Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Anu Pasanen
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Benjamin M Jacobs
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University London, London, EC1M 6BQ, United Kingdom
| | - Nikki Hubers
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Institute, Amsterdam, The Netherlands
| | - Margaret Lippincott
- Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Abigail Fraser
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mette Nyegaard
- Genomic Medicine, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Kari Stefansson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
| | - Reedik Magi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Obstetrics and Gynecology, Tampere University Hospital, Finland
- Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Finland
| | - David A van Heel
- Blizard Institute, Queen Mary University London, London, E1 2AT, United Kingdom
| | - Dorret I Boomsma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Institute, Amsterdam, The Netherlands
| | - Ravikumar Balasubramanian
- Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Stephanie B Seminara
- Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yee-Ming Chan
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Endocrinology, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
- Nuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, United Kingdom
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
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3
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Boslem E, Reibe S, Carlessi R, Smeuninx B, Tegegne S, Egan CL, McLennan E, Terry LV, Nobis M, Mu A, Nowell C, Horadagoda N, Mellett NA, Timpson P, Jones M, Denisenko E, Forrest AR, Tirnitz-Parker JE, Meikle PJ, Rose-John S, Karin M, Febbraio MA. Therapeutic blockade of ER stress and inflammation prevents NASH and progression to HCC. Sci Adv 2023; 9:eadh0831. [PMID: 37703359 PMCID: PMC10499313 DOI: 10.1126/sciadv.adh0831] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/07/2023] [Indexed: 09/15/2023]
Abstract
The incidence of hepatocellular carcinoma (HCC) is rapidly rising largely because of increased obesity leading to nonalcoholic steatohepatitis (NASH), a known HCC risk factor. There are no approved treatments to treat NASH. Here, we first used single-nucleus RNA sequencing to characterize a mouse model that mimics human NASH-driven HCC, the MUP-uPA mouse fed a high-fat diet. Activation of endoplasmic reticulum (ER) stress and inflammation was observed in a subset of hepatocytes that was enriched in mice that progress to HCC. We next treated MUP-uPA mice with the ER stress inhibitor BGP-15 and soluble gp130Fc, a drug that blocks inflammation by preventing interleukin-6 trans-signaling. Both drugs have progressed to phase 2/3 human clinical trials for other indications. We show that this combined therapy reversed NASH and reduced NASH-driven HCC. Our data suggest that these drugs could provide a potential therapy for NASH progression to HCC.
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Affiliation(s)
- Ebru Boslem
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Saskia Reibe
- Garvan Institute of Medical Research, Sydney, Australia
| | - Rodrigo Carlessi
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Benoit Smeuninx
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Surafel Tegegne
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Casey L. Egan
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Emma McLennan
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Lauren V. Terry
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Max Nobis
- Garvan Institute of Medical Research, Sydney, Australia
| | - Andre Mu
- Wellcome Sanger Institute, Cambridge, UK
- EMBL's European Bioinformatics Institute, Cambridge UK
| | - Cameron Nowell
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Neil Horadagoda
- Faculty of Veterinary Science, University of Sydney, Camden, Australia
| | | | - Paul Timpson
- Garvan Institute of Medical Research, Sydney, Australia
| | - Matthew Jones
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Elena Denisenko
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Alistair R. R. Forrest
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Janina E. E. Tirnitz-Parker
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Stefan Rose-John
- Department of Biochemistry, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Michael Karin
- Department of Pharmacology, University of California, San Diego, La Jolla, CA, USA
| | - Mark A. Febbraio
- Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia
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4
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Todoric J, Di Caro G, Reibe S, Henstridge DC, Green CR, Vrbanac A, Ceteci F, Conche C, McNulty R, Shalapour S, Taniguchi K, Meikle PJ, Watrous JD, Moranchel R, Najhawan M, Jain M, Liu X, Kisseleva T, Diaz-Meco MT, Moscat J, Knight R, Greten FR, Lau LF, Metallo CM, Febbraio MA, Karin M. Fructose stimulated de novo lipogenesis is promoted by inflammation. Nat Metab 2020; 2:1034-1045. [PMID: 32839596 PMCID: PMC8018782 DOI: 10.1038/s42255-020-0261-2] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 07/13/2020] [Indexed: 12/11/2022]
Abstract
Benign hepatosteatosis, affected by lipid uptake, de novo lipogenesis and fatty acid (FA) oxidation, progresses to non-alcoholic steatohepatitis (NASH) on stress and inflammation. A key macronutrient proposed to increase hepatosteatosis and NASH risk is fructose. Excessive intake of fructose causes intestinal-barrier deterioration and endotoxaemia. However, how fructose triggers these alterations and their roles in hepatosteatosis and NASH pathogenesis remain unknown. Here we show, using mice, that microbiota-derived Toll-like receptor (TLR) agonists promote hepatosteatosis without affecting fructose-1-phosphate (F1P) and cytosolic acetyl-CoA. Activation of mucosal-regenerative gp130 signalling, administration of the YAP-induced matricellular protein CCN1 or expression of the antimicrobial peptide Reg3b (beta) peptide counteract fructose-induced barrier deterioration, which depends on endoplasmic-reticulum stress and subsequent endotoxaemia. Endotoxin engages TLR4 to trigger TNF production by liver macrophages, thereby inducing lipogenic enzymes that convert F1P and acetyl-CoA to FA in both mouse and human hepatocytes.
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Affiliation(s)
- Jelena Todoric
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Giuseppe Di Caro
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Saskia Reibe
- Garvan Institute of Medical Research, Sydney, Australia
| | | | - Courtney R Green
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Alison Vrbanac
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Fatih Ceteci
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt/Main, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claire Conche
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt/Main, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Reginald McNulty
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, USA
| | - Shabnam Shalapour
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Koji Taniguchi
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jeramie D Watrous
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Rafael Moranchel
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Mahan Najhawan
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Mohit Jain
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Xiao Liu
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Tatiana Kisseleva
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Maria T Diaz-Meco
- Cancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Jorge Moscat
- Cancer Metabolism and Signaling Networks Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, Department of Computer Science and Engineering, Department of Bioengineering, and The Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Florian R Greten
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt/Main, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lester F Lau
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago College of Medicine, Chicago, IL, USA
| | - Christian M Metallo
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Mark A Febbraio
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Michael Karin
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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5
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Whitham M, Pal M, Petzold T, Hjorth M, Egan CL, Brunner JS, Estevez E, Iliades P, Zivanovic B, Reibe S, Hughes WE, Findeisen M, Hidalgo J, Febbraio MA. Adipocyte-specific deletion of IL-6 does not attenuate obesity-induced weight gain or glucose intolerance in mice. Am J Physiol Endocrinol Metab 2019; 317:E597-E604. [PMID: 31386565 DOI: 10.1152/ajpendo.00206.2019] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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] [Indexed: 02/06/2023]
Abstract
It has been suggested that interleukin-6 (IL-6) produced by adipocytes in obesity leads to liver insulin resistance, although this hypothesis has never been definitively tested. Accordingly, we did so by generating adipocyte-specific IL-6-deficient (AdipoIL-6-/-) mice and studying them in the context of diet-induced and genetic obesity. Mice carrying two floxed alleles of IL-6 (C57Bl/6J) were crossed with Cre recombinase-overexpressing mice driven by the adiponectin promoter to generate AdipoIL-6-/- mice. AdipoIL-6-/- and floxed littermate controls were fed a standard chow or high-fat diet (HFD) for 16 wk and comprehensively metabolically phenotyped. In addition to a diet-induced obesity model, we also examined the role of adipocyte-derived IL-6 in a genetic model of obesity and insulin resistance by crossing the AdipoIL-6-/- mice with leptin-deficient (ob/ob) mice. As expected, mice on HFD and ob/ob mice displayed marked weight gain and increased fat mass compared with chow-fed and ob/+ (littermate control) animals, respectively. However, deletion of IL-6 from adipocytes in either model had no effect on glucose tolerance or fasting hyperinsulinemia. We concluded that adipocyte-specific IL-6 does not contribute to whole body glucose intolerance in obese mice.
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Affiliation(s)
- Martin Whitham
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, United Kingdom
| | - Martin Pal
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Tim Petzold
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Marit Hjorth
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Casey L Egan
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Julia S Brunner
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- Institute for Physiology, Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Emma Estevez
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Peter Iliades
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | | | - Saskia Reibe
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - William E Hughes
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Maria Findeisen
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Juan Hidalgo
- Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Mark A Febbraio
- Cellular and Molecular Metabolism Laboratory, Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
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6
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Affiliation(s)
- Saskia Reibe
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Mark A Febbraio
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
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Abstract
In the original version of this manuscript, the incorrect names for two proteins were given. S1P and S2P should have been defined as site-1 protease and site-2 protease. This has been corrected in the HTML and PDF versions of the manuscript.
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Affiliation(s)
- Saskia Reibe
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Mark A Febbraio
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia.
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8
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Brandon AE, Liao BM, Diakanastasis B, Parker BL, Raddatz K, McManus SA, O'Reilly L, Kimber E, van der Kraan AG, Hancock D, Henstridge DC, Meikle PJ, Cooney GJ, James DE, Reibe S, Febbraio MA, Biden TJ, Schmitz-Peiffer C. Protein Kinase C Epsilon Deletion in Adipose Tissue, but Not in Liver, Improves Glucose Tolerance. Cell Metab 2019; 29:183-191.e7. [PMID: 30318338 DOI: 10.1016/j.cmet.2018.09.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [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: 02/01/2018] [Revised: 07/16/2018] [Accepted: 09/12/2018] [Indexed: 02/02/2023]
Abstract
Protein kinase C epsilon (PKCɛ) activation in the liver is proposed to inhibit insulin action through phosphorylation of the insulin receptor. Here, however, we demonstrated that global, but not liver-specific, deletion of PKCɛ in mice protected against diet-induced glucose intolerance and insulin resistance. Furthermore, PKCɛ-dependent alterations in insulin receptor phosphorylation were not detected. Adipose-tissue-specific knockout mice did exhibit improved glucose tolerance, but phosphoproteomics revealed no PKCɛ-dependent effect on the activation of insulin signaling pathways. Altered phosphorylation of adipocyte proteins associated with cell junctions and endosomes was associated with changes in hepatic expression of several genes linked to glucose homeostasis and lipid metabolism. The primary effect of PKCɛ on glucose homeostasis is, therefore, not exerted directly in the liver as currently posited, and PKCɛ activation in this tissue should be interpreted with caution. However, PKCɛ activity in adipose tissue modulates glucose tolerance and is involved in crosstalk with the liver.
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Affiliation(s)
- Amanda E Brandon
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Bing M Liao
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Barbara Diakanastasis
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Benjamin L Parker
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Katy Raddatz
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sophie A McManus
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Liam O'Reilly
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Erica Kimber
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | | | - Dale Hancock
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | | | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Gregory J Cooney
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - David E James
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Saskia Reibe
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Mark A Febbraio
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia
| | - Trevor J Biden
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia
| | - Carsten Schmitz-Peiffer
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, NSW 2010, Australia.
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Lancaster GI, Langley KG, Berglund NA, Kammoun HL, Reibe S, Estevez E, Weir J, Mellett NA, Pernes G, Conway JRW, Lee MKS, Timpson P, Murphy AJ, Masters SL, Gerondakis S, Bartonicek N, Kaczorowski DC, Dinger ME, Meikle PJ, Bond PJ, Febbraio MA. Evidence that TLR4 Is Not a Receptor for Saturated Fatty Acids but Mediates Lipid-Induced Inflammation by Reprogramming Macrophage Metabolism. Cell Metab 2018; 27:1096-1110.e5. [PMID: 29681442 DOI: 10.1016/j.cmet.2018.03.014] [Citation(s) in RCA: 280] [Impact Index Per Article: 46.7] [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: 06/23/2017] [Revised: 12/22/2017] [Accepted: 03/25/2018] [Indexed: 02/06/2023]
Abstract
Chronic inflammation is a hallmark of obesity and is linked to the development of numerous diseases. The activation of toll-like receptor 4 (TLR4) by long-chain saturated fatty acids (lcSFAs) is an important process in understanding how obesity initiates inflammation. While experimental evidence supports an important role for TLR4 in obesity-induced inflammation in vivo, via a mechanism thought to involve direct binding to and activation of TLR4 by lcSFAs, several lines of evidence argue against lcSFAs being direct TLR4 agonists. Using multiple orthogonal approaches, we herein provide evidence that while loss-of-function models confirm that TLR4 does, indeed, regulate lcSFA-induced inflammation, TLR4 is not a receptor for lcSFAs. Rather, we show that TLR4-dependent priming alters cellular metabolism, gene expression, lipid metabolic pathways, and membrane lipid composition, changes that are necessary for lcSFA-induced inflammation. These results reconcile previous discordant observations and challenge the prevailing view of TLR4's role in initiating obesity-induced inflammation.
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Affiliation(s)
- Graeme I Lancaster
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Immunology, Monash University, Melbourne, VIC 3004, Australia.
| | - Katherine G Langley
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Nils Anton Berglund
- Bioinformatics Institute (A(∗)STAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671, Singapore
| | - Helene L Kammoun
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Saskia Reibe
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | - Emma Estevez
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | - Jacquelyn Weir
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Natalie A Mellett
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Gerard Pernes
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - James R W Conway
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Man K S Lee
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Paul Timpson
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Andrew J Murphy
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Department of Immunology, Monash University, Melbourne, VIC 3004, Australia
| | - Seth L Masters
- Inflammation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Steve Gerondakis
- Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Nenad Bartonicek
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia
| | | | - Marcel E Dinger
- Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Peter J Bond
- Bioinformatics Institute (A(∗)STAR), 30 Biopolis Street, #07-01 Matrix, Singapore 138671, Singapore; Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Singapore
| | - Mark A Febbraio
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia; Garvan Institute of Medical Research, 384 Victoria St, Sydney, NSW 2010, Australia; Faculty of Medicine, St Vincent's Clinical School, Faculty of Medicine, University of NSW, Sydney, NSW 2010, Australia.
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10
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Reibe S, Hjorth M, Febbraio MA, Whitham M. GeneXX: an online tool for the exploration of transcript changes in skeletal muscle associated with exercise. Physiol Genomics 2018; 50:376-384. [PMID: 29547064 DOI: 10.1152/physiolgenomics.00127.2017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 01/06/2023] Open
Abstract
Exercise stimulates a wide array of biological processes, but the mechanisms involved are incompletely understood. Many previous studies have adopted transcriptomic analyses of skeletal muscle to address particular research questions, a process that ultimately results in the collection of large amounts of publicly available data that has not been fully integrated or interrogated. To maximize the use of these available transcriptomic exercise data sets, we have downloaded and reanalyzed them and formulated the data into a searchable online tool, geneXX. GeneXX is highly intuitive and free and provides immediate information regarding the response of a transcript of interest to exercise in skeletal muscle. To demonstrate its utility, we carried out a meta-analysis on the included data sets and show transcript changes in skeletal muscle that persist regardless of sex, exercise mode, and duration, some of which have had minimal attention in the context of exercise. We also demonstrate how geneXX can be used to formulate novel hypotheses on the complex effects of exercise, using preliminary data already generated. This resource represents a valuable tool for researchers with interests in human skeletal muscle adaptation to exercise.
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Affiliation(s)
- Saskia Reibe
- Cellular and Molecular Metabolism Laboratory, Diabetes and Metabolism Division, Garvan Institute of Medical Research , Sydney, New South Wales , Australia.,St. Vincent's Clinical School, University of New South Wales , Sydney, New South Wales , Australia
| | - Marit Hjorth
- Cellular and Molecular Metabolism Laboratory, Diabetes and Metabolism Division, Garvan Institute of Medical Research , Sydney, New South Wales , Australia.,St. Vincent's Clinical School, University of New South Wales , Sydney, New South Wales , Australia
| | - Mark A Febbraio
- Cellular and Molecular Metabolism Laboratory, Diabetes and Metabolism Division, Garvan Institute of Medical Research , Sydney, New South Wales , Australia.,St. Vincent's Clinical School, University of New South Wales , Sydney, New South Wales , Australia
| | - Martin Whitham
- Cellular and Molecular Metabolism Laboratory, Diabetes and Metabolism Division, Garvan Institute of Medical Research , Sydney, New South Wales , Australia.,St. Vincent's Clinical School, University of New South Wales , Sydney, New South Wales , Australia
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11
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Kammoun HL, Allen TL, Henstridge DC, Barre S, Coll RC, Lancaster GI, Cron L, Reibe S, Chan JY, Bensellam M, Laybutt DR, Butler MS, Robertson AAB, O'Neill LA, Cooper MA, Febbraio MA. Evidence against a role for NLRP3-driven islet inflammation in db/db mice. Mol Metab 2018; 10:66-73. [PMID: 29478918 PMCID: PMC5985230 DOI: 10.1016/j.molmet.2018.02.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 02/01/2018] [Indexed: 12/30/2022] Open
Abstract
Objectives Type 2 diabetes (T2D) is associated with chronic, low grade inflammation. Activation of the NLRP3 inflammasome and secretion of its target interleukin-1β (IL-1β) have been implicated in pancreatic β cell failure in T2D. Specific targeting of the NLRP3 inflammasome to prevent pancreatic β cell death could allow for selective T2D treatment without compromising all IL-1β-associated immune responses. We hypothesized that treating a mouse model of T2D with MCC950, a compound that specifically inhibits NLRP3, would prevent pancreatic β cell death, thereby preventing the onset of T2D. Methods Diabetic db/db mice were treated with MCC950 via drinking water for 8 weeks from 6 to 14 weeks of age, a period over which they developed pancreatic β cell failure. We assessed metabolic parameters such as body composition, glucose tolerance, or insulin secretion over the course of the intervention. Results MCC950 was a potent inhibitor of NLRP3-induced IL-1β in vitro and was detected at high levels in the plasma of treated db/db mice. Treatment of pre-diabetic db/db mice with MCC950, however, did not prevent pancreatic dysfunction and full onset of the T2D pathology. When examining the NLRP3 pathway in the pancreas of db/db mice, we could not detect an activation of this pathway nor increased levels of its target IL-1β. Conclusions NLRP3 driven-pancreatic IL-1β inflammation does not play a key role in the pathogenesis of the db/db murine model of T2D. Inhibition of NLRP3 via MCC950 in db/db mice did not improve glucose tolerance. MCC950 treatment did not prevent beta cell loss of function. Expression of IL1beta and NLRP3 does not appear increased in db/db islets. We conclude against a role for NLRP3 in db/db pancreatic dysfunction.
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Affiliation(s)
- H L Kammoun
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia.
| | - T L Allen
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - D C Henstridge
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - S Barre
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - R C Coll
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - G I Lancaster
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - L Cron
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia
| | - S Reibe
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia
| | - J Y Chan
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia
| | - M Bensellam
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia
| | - D R Laybutt
- Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - M S Butler
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - A A B Robertson
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - L A O'Neill
- Inflammation research, Trinity Biomedical Sciences Institute, Dublin, Ireland
| | - M A Cooper
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - M A Febbraio
- Cellular and Molecular Metabolism Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia; Division of Diabetes & Metabolism, Garvan Institute of Medical Research, Sydney, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
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12
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Madea B, Jachau K, Reibe S, Schmidt P, Kernbach-Wighton G, Peschel O, Henn V, Meissner C, Oehmichen M, Thali M, Lessig R, Pollak S, Zollinger U. Thanatologie. Rechtsmedizin (Berl) 2015. [DOI: 10.1007/978-3-662-43500-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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13
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Benecke M, Reibe S, Baumjohann K, Gulinski S, Wetzel W, Schmidt K, Pressler K, Lebküchner I, Streckenbach M. [Morphology of low-velocity impact stains produced from single drops of blood]. Arch Kriminol 2012; 230:42-54. [PMID: 22924278] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Systematic variation of blood droplet volume, the distance fallen and the surface (paper, wood, plastics, tiles) led to the conclusion that the size and the shape of the stains ("fingers", satellites) allowed to deduce the distance fallen but only if the actual surface structure was known. We found that detailed photography at the crime scene was necessary, yet experiments have to be performed due to the extreme influence of the actual surface texture on all characteristics (size, spines, peripheral spatter) of the blood stains.
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14
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von Hoermann C, Ruther J, Reibe S, Madea B, Ayasse M. The importance of carcass volatiles as attractants for the hide beetle Dermestes maculatus (De Geer). Forensic Sci Int 2011; 212:173-9. [PMID: 21741784 DOI: 10.1016/j.forsciint.2011.06.009] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2010] [Revised: 06/01/2011] [Accepted: 06/03/2011] [Indexed: 11/26/2022]
Abstract
A decaying cadaver emits volatile organic compounds that are used by necrophilous and necrophagous insects in order to find their brood substrate. Although volatile organic compounds (VOCs) that are released by carcasses have been identified, little is known about the specific compounds that are used by these insects while searching for a brood substrate. Therefore, we have investigated the chemical ecology involved in the attraction of the necrophagous hide beetle Dermestes maculatus, which feeds as an adult and larva upon decomposing carcasses. Our aims have been to identify the responsible compounds in the odours of the carcass that are important for the attraction of the beetles. Furthermore, we have studied sex- and age-related differences in beetle attraction and tested whether the hide beetle can distinguish between various stages of decomposition by means of the emitted odours. Headspace collection of volatiles released from piglet carcasses (bloated stage, post-bloating stage, advanced decay and dry remains), coupled gas chromatography-mass spectrometry (GC-MS), gas chromatography with electroantennographic detection (GC-EAD) and bioassays were conducted to identify the volatiles responsible for the attraction of the beetles. Freshly emerged male beetles were attracted by the odour of piglets in the post-bloating stage (9 days after death; T(mean) = 27 °C) and the EAD-active compound benzyl butyrate. Statistical analysis revealed a higher relative proportion of benzyl butyrate in the odour bouquet of the post-bloating stage in comparison with the other stages. We therefore conclude that this compound plays an important role in the attraction of hide beetles to carcass odour. This underlines the potential use of D. maculatus for the estimation of the post mortem interval. The decomposition stage at which the female beetles are attracted to the odour of a cadaver remains unknown, as does the nature of this attraction. Pheromones (sexual or aggregation pheromones) might play an essential role correlated with their attraction to carrion and consequently with their attraction to the substrate for mating and ovipositioning.
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Affiliation(s)
- C von Hoermann
- Institute of Experimental Ecology, Biology III, Ulm University, Albert-Einstein-Allee 11, 89069 Ulm, Germany.
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15
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Reibe S, Doetinchem PV, Madea B. A new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae). Parasitol Res 2010; 107:9-16. [DOI: 10.1007/s00436-010-1879-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2010] [Accepted: 03/02/2010] [Indexed: 11/29/2022]
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16
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Reibe S, Madea B. Use of Megaselia scalaris (Diptera: Phoridae) for post-mortem interval estimation indoors. Parasitol Res 2010; 106:637-40. [DOI: 10.1007/s00436-009-1713-5] [Citation(s) in RCA: 53] [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: 11/14/2009] [Accepted: 12/17/2009] [Indexed: 11/29/2022]
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17
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Reibe S, Madea B. How promptly do blowflies colonise fresh carcasses? A study comparing indoor with outdoor locations. Forensic Sci Int 2009; 195:52-7. [PMID: 20044223 DOI: 10.1016/j.forsciint.2009.11.009] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2009] [Revised: 10/19/2009] [Accepted: 11/12/2009] [Indexed: 10/20/2022]
Abstract
We investigated the time taken by blowflies to find and oviposit on fresh carcasses placed outdoors and indoors. Paired dead piglets, one in the open and the other in a nearby room (on the first floor of an occupied, detached, suburban house near Cologne, Germany, with a window opened 9 cm) were exposed simultaneously on nine occasions. The species visiting both locations and the number of egg batches deposited by blowflies between both locations were monitored 2, 8, 24 and 48 h after exposure. In all cases the indoor piglet carcass was exclusively infested by Calliphora vicina; only in one case, on a very hot day after a 48-h exposure did Lucilia sericata infest an indoor carcass. The outdoor piglets were infested by a variety of common corpse-visiting species: L. sericata, L. caesar, L. illustris, C. vicina and C. vomitoria. A significant difference in the number of egg batches was detected between indoors and outdoors. Furthermore, in only two of nine runs did oviposition occur within the first 24h of exposure indoors. Ambient temperature, daylength and rainfall had no significant effect on the number of egg batches. Moreover, we observed fewer larvae on indoor piglets, too few to form maggot masses. This might result in slower larval development than in the case of outdoor piglets. We conclude that post-mortem interval (PMI) estimation for corpses found indoors must be handled carefully as oviposition might have taken place with a delay up to 24h.
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Affiliation(s)
- S Reibe
- Institute of Forensic Medicine, University of Bonn, Bonn, Germany.
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18
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Wetzel W, Reibe S, Madea B. [An entomological case report during the winter months: estimation of the post-mortem interval considering the influence of cold temperatures on the development of the forensically important blowfly Calliphora vomitoria]. Arch Kriminol 2009; 223:123-130. [PMID: 19432091] [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] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
The authors describe a case report with entomological estimation of the post-mortem interval in the winter months. In early December 2007, the body of a suicide was discovered not far from a lake near Bonn in North Rhine-Westphalia four weeks after the man had disappeared from a hospital. The corpse was very well preserved and did not show any signs of advanced putrefaction. The stage of decomposition did not allow a correct estimation of the time since death. Infestation of insect larvae of the species Calliphora vomitoria was detected in the oral cavity as well as in the self-inflicted deep cut to the throat responsible for death. The age of the larvae was determined by considering the specific minimum threshold of the species (minimum temperature necessary for development). To estimate the time until the blowflies detect the body and start to oviposit, the authors ran an experiment with a pig in a comparable environment with similar temperatures. Altogether, these investigations suggested that the man had committed suicide shortly after disappearing from the hospital. Without the entomological evaluation it would have been very difficult to narrow down the post-mortem interval correctly.
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19
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Reibe S, Strehler M, Mayer F, Althaus L, Madea B, Benecke M. [Dumping of corpses in compost bins--two forensic entomological case reports]. Arch Kriminol 2008; 222:195-201. [PMID: 19216370] [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] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Two cases from the Ruhr Area in Western Germany are presented. In each case, the deceased had been wrapped in plastic bags and placed inside a large compost bin in the backyard of the property. In both cases, the relatives claimed that the decedent had died from a natural cause and that they had concealed the body to ensure the further payment of the nursing care and pension benefits. In the first case, the responsible person stated that the body had been inside the bin for three years; in case 2 the postmortem interval indicated was 6 months. In spite of the closed lid of the bin the insect infestation was extensive and rich in species: Empty pupal cases of several blowfly species were collected as well as histerids and pupal cases of Fannia scalaris in the first case. In case 2, phorids and larval skins of dermestids were also found.
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20
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Abstract
Hematopoiesis in vertebrate development involves an embryonic, primitive wave and a later, definitive wave in which embryonic blood cells are replaced with adult blood cells. We here show that zebrafish fgf1 is involved in vivo in primitive hematopoiesis. Fibroblast growth factor-1 (FGF1) morpholino knockdown leads to abnormal accumulation of blood cells in the posterior intermediate cell mass at 32 hr postfertilization. Expression of the erythroid markers gata1 and ika, normally diminishing in differentiating erythrocytes at this stage, is maintained at abnormally high levels in primitive blood cells. The onset of erythrocyte differentiation as assessed by o-dianisidine staining is severely delayed. Most fgf1 morphants later recover to wild-type appearance, and primitive erythrocytes eventually differentiate. Zebrafish fgf1 is syntenic to human FGF1, which maps to a critically deleted region in human del(5q) syndrome posing an increased risk of leukemia to patients. As its knockdown in zebrafish changes expression of gata1, a gene involved in hematopoietic stem cell decisions, FGF1 should be considered to play a role in the pathogenesis of del(5q) syndrome.
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Affiliation(s)
- Pascal Songhet
- University of Cologne, Institute for Developmental Biology, Köln, Germany
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21
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Abstract
The zebrafish thyroid gland shows a unique pattern of growth as a differentiated endocrine gland. Here, we analyze the onset of differentiation, the contribution of lineages, and the mode of growth of this gland. The expression of genes involved in hormone production and the establishment of epithelial polarity show that differentiation into a first thyroid follicle takes place early during embryonic development. Thyroid follicular tissue then grows along the pharyngeal midline, initially independently of thyroid stimulating hormone. Lineage analysis reveals that thyroid follicle cells are exclusively recruited from the pharyngeal endoderm. The ultimobranchial bodies that merge with the thyroid in mammals form separate glands in zebrafish as visualized by calcitonin precursor gene expression. Mosaic analysis suggests that the first thyroid follicle differentiating at 55 hours postfertilization corresponds later to the most anterior follicle and that new follicles are added caudally.
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Affiliation(s)
- Burkhard Alt
- Institute for Developmental Biology, University of Cologne, Gyrhofstrasse 17, 50923 Köln, Germany
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