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Eriksen R, White MC, Dawed AY, Perez IG, Posma JM, Haid M, Sharma S, Prehn C, Thomas LE, Koivula RW, Bizzotto R, Mari A, Giordano GN, Pavo I, Schwenk JM, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Rutters F, Beulens J, Muilwijk M, Blom M, Elders P, Hansen TH, Fernandez-Tajes J, Jones A, Jennison C, Walker M, McCarthy MI, Pedersen O, Ruetten H, Forgie I, Holst JJ, Thomsen HS, Ridderstråle M, Bell JD, Adamski J, Franks PW, Hansen T, Holmes E, Frost G, Pearson ER. The association of cardiometabolic, diet and lifestyle parameters with plasma glucagon-like peptide-1: An IMI DIRECT study. J Clin Endocrinol Metab 2024:dgae119. [PMID: 38686701 DOI: 10.1210/clinem/dgae119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/20/2023] [Accepted: 02/27/2024] [Indexed: 05/02/2024]
Abstract
CONTEXT The role of glucagon-like peptide-1(GLP-1) in Type 2 diabetes (T2D) and obesity is not fully understood. OBJECTIVE We investigate the association of cardiometabolic, diet and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D. METHOD We analysed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1(n=2127) individuals at risk of diabetes; cohort 2 (n=789) individuals with new-onset of T2D. RESULTS Our multiple regression analysis reveals that fasting total GLP-1 is associated with an insulin resistant phenotype and observe a strong independent relationship with male sex, increased adiposity and liver fat particularly in the prediabetes population. In contrast, we showed that incremental GLP-1 decreases with worsening glycaemia, higher adiposity, liver fat, male sex and reduced insulin sensitivity in the prediabetes cohort. Higher fasting total GLP-1 was associated with a low intake of wholegrain, fruit and vegetables inpeople with prediabetes, and with a high intake of red meat and alcohol in people with diabetes. CONCLUSION These studies provide novel insights into the association between fasting and incremental GLP-1, metabolic traits of diabetes and obesity, and dietary intake and raise intriguing questions regarding the relevance of fasting GLP-1 in the pathophysiology T2D.
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Affiliation(s)
- Rebeca Eriksen
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, UK
| | - Margaret C White
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Adem Y Dawed
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Isabel Garcia Perez
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, UK
| | - Joram M Posma
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK
- Health Data Research UK, London, UK
| | - Mark Haid
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
| | - Sapna Sharma
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
| | - Louise E Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Robert W Koivula
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Radcliffe Department of Medicine, Oxford, UK
| | - Roberto Bizzotto
- Institute of Neuroscience - National Research Council, Padova, Italy
| | - Andrea Mari
- Institute of Neuroscience - National Research Council, Padova, Italy
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Konstantinos D Tsirigos
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Ana Viñuela
- Biosciences Institute, Newcastle University. Newcastle upon Tyne. United Kingdom
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Timothy J McDonald
- Medical School, Exeter, UK NIHR Exeter Clinical Research Facility, University of Exeter
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Femke Rutters
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Joline Beulens
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Mirthe Muilwijk
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Marieke Blom
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Petra Elders
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | | | - Angus Jones
- Medical School, Exeter, UK NIHR Exeter Clinical Research Facility, University of Exeter
| | - Chris Jennison
- Department of Mathematical Sciences, University of Bath, Bath, UK
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Radcliffe Department of Medicine, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Ian Forgie
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Jens J Holst
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik S Thomsen
- Faculty of Medical and Health Sciences, University of Copenhagen, Denmark
| | | | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, 85350 Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Elaine Holmes
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, UK
| | - Gary Frost
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, UK
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
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Vuoksimaa E, Saari TT, Aaltonen A, Aaltonen S, Herukka SK, Iso-Markku P, Kokkola T, Kyttälä A, Kärkkäinen S, Liedes H, Ollikainen M, Palviainen T, Ruotsalainen I, Toivola A, Urjansson M, Vasankari T, Vähä-Ypyä H, Forsberg MM, Hiltunen M, Jalanko A, Kälviäinen R, Kuopio T, Lähteenmäki J, Nyberg P, Männikkö M, Serpi R, Siltanen S, Palotie A, Kaprio J, Runz H, Julkunen V. TWINGEN - protocol for an observational clinical biobank recall and biomarker study to identify individuals with high risk of Alzheimer's disease. medRxiv 2023:2023.11.03.23298018. [PMID: 37965200 PMCID: PMC10635260 DOI: 10.1101/2023.11.03.23298018] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Introduction A better understanding of the earliest stages of Alzheimer's disease (AD) could expedite the development or administration of treatments. Large population biobanks hold the promise to identify individuals at an elevated risk of AD and related dementias based on health registry information. Here, we establish the protocol for an observational clinical recall and biomarker study called TWINGEN with the aim to identify individuals at high risk of AD by assessing cognition, health and AD-related biomarkers. Suitable candidates were identified and invited to participate in the new study among Finnish biobank donors according to TWINGEN study criteria. Methods and analysis A multi-center study (n=800) to obtain blood-based biomarkers, telephone-administered and web-based memory and cognitive parameters, questionnaire information on lifestyle, health and psychological factors, and accelerometer data for measures of physical activity, sedentary behavior and sleep. A sub-cohort are being asked to participate in an in-person neuropsychological assessment (n=200) and wear an Oura ring (n=50). All participants in the TWINGEN study have genome-wide genotyping data and up to 48 years of follow-up data from the population-based older Finnish Twin Cohort (FTC) study of the University of Helsinki. TWINGEN data will be transferred to Finnish Institute of Health and Welfare (THL) biobank and we aim to further to transfer it to the FinnGen study where it will be combined with health registry data for prediction of AD. Ethics and dissemination This recall study consists of FTC/THL/FinnGen participants whose data were acquired in accordance with the Finnish Biobank Act. The recruitment protocols followed the biobank protocols approved by Finnish Medicines Agency. The TWINGEN study plan was approved by the Ethics Committee of Hospital District of Helsinki and Uusimaa (number 16831/2022). THL Biobank approved the research plan with the permission no: THLBB2022_83.
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Affiliation(s)
- Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Toni T Saari
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aino Aaltonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sari Aaltonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanna-Kaisa Herukka
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Paula Iso-Markku
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Tarja Kokkola
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Aija Kyttälä
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sari Kärkkäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Liedes
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd., Oulu, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Ilona Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- VTT Technical Research Centre of Finland Ltd., Espoo, Finland
| | - Auli Toivola
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mia Urjansson
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Tommi Vasankari
- UKK Institute for Health Promotion Research, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Henri Vähä-Ypyä
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Markus M Forsberg
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- VTT Technical Research Centre of Finland Ltd., Kuopio, Finland
| | - Mikko Hiltunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Reetta Kälviäinen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland
| | | | - Pia Nyberg
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services county of North Ostrobothnia, Oulu, Finland
- Translational Medicine Research Unit, University of Oulu, Oulu, Finland
| | - Minna Männikkö
- Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Raisa Serpi
- Biobank Borealis of Northern Finland, Oulu University Hospital, Wellbeing Services county of North Ostrobothnia, Oulu, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Heiko Runz
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Translational Sciences, Biogen, Cambridge, MA, USA
| | - Valtteri Julkunen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
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3
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Brown AA, Fernandez-Tajes JJ, Hong MG, Brorsson CA, Koivula RW, Davtian D, Dupuis T, Sartori A, Michalettou TD, Forgie IM, Adam J, Allin KH, Caiazzo R, Cederberg H, De Masi F, Elders PJM, Giordano GN, Haid M, Hansen T, Hansen TH, Hattersley AT, Heggie AJ, Howald C, Jones AG, Kokkola T, Laakso M, Mahajan A, Mari A, McDonald TJ, McEvoy D, Mourby M, Musholt PB, Nilsson B, Pattou F, Penet D, Raverdy V, Ridderstråle M, Romano L, Rutters F, Sharma S, Teare H, 't Hart L, Tsirigos KD, Vangipurapu J, Vestergaard H, Brunak S, Franks PW, Frost G, Grallert H, Jablonka B, McCarthy MI, Pavo I, Pedersen O, Ruetten H, Walker M, Adamski J, Schwenk JM, Pearson ER, Dermitzakis ET, Viñuela A. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits. Nat Commun 2023; 14:5062. [PMID: 37604891 PMCID: PMC10442420 DOI: 10.1038/s41467-023-40569-3] [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: 05/12/2021] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.
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Affiliation(s)
- Andrew A Brown
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, United Kingdom
| | - Juan J Fernandez-Tajes
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Mun-Gwan Hong
- Science for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Solna, SE-171 21, Sweden
| | - Caroline A Brorsson
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Robert W Koivula
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LJ, United Kingdom
| | - David Davtian
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, United Kingdom
| | - Théo Dupuis
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, United Kingdom
| | - Ambra Sartori
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, 1211, Switzerland
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 1211, Switzerland
- Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Theodora-Dafni Michalettou
- Biosciences Institute, Faculty of Medical Sciences, University of Newcastle, Newcastle upon Tyne, NE1 4EP, United Kingdom
| | - Ian M Forgie
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, United Kingdom
| | - Jonathan Adam
- German Center for Diabetes Research (DZD), Neuherberg, 85764, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Kristine H Allin
- The Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Robert Caiazzo
- University of Lille, Inserm, Lille Pasteur Institute, Lille, France
| | - Henna Cederberg
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Petra J M Elders
- Department of General Practice, Amsterdam UMC- location Vumc, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Giuseppe N Giordano
- Department of Clinical Science, Genetic and Molecular Epidemiology, Lund University Diabetes Centre, Malmö, Sweden
| | - Mark Haid
- Metabolomics and Proteomics Core, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Torben Hansen
- The Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Tue H Hansen
- The Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter College of Medicine & Health, Exeter, EX25DW, United Kingdom
| | - Alison J Heggie
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Cédric Howald
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, 1211, Switzerland
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 1211, Switzerland
- Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter College of Medicine & Health, Exeter, EX25DW, United Kingdom
| | - Tarja Kokkola
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Andrea Mari
- Institute of Neuroscience, National Research Council, Padova, 35127, Italy
| | - Timothy J McDonald
- Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, EX2 5DW, United Kingdom
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom
| | - Miranda Mourby
- Nuffield Department of Population Health, Centre for Health, Law and Emerging Technologies (HeLEX), University of Oxford, Oxford, OX2 7DD, United Kingdom
| | - Petra B Musholt
- Global Development, Sanofi-Aventis Deutschland GmbH, Hoechst Industrial Park, Frankfurt am Main, 65926, Germany
| | - Birgitte Nilsson
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Francois Pattou
- University of Lille, Inserm, Lille Pasteur Institute, Lille, France
| | - Deborah Penet
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, 1211, Switzerland
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 1211, Switzerland
- Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Violeta Raverdy
- University of Lille, Inserm, Lille Pasteur Institute, Lille, France
| | | | - Luciana Romano
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, 1211, Switzerland
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 1211, Switzerland
- Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Femke Rutters
- Epidemiology and Data Science, VUMC, Amsterdam, The Netherlands
| | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, 85764, Germany
- Food Chemistry and Molecular and Sensory Science, Technical University of Munich, München, Germany
| | - Harriet Teare
- Centre for Health Law and Emerging Technologies, Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7DQ, United Kingdom
| | - Leen 't Hart
- Epidemiology and Data Science, VUMC, Amsterdam, The Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Biomedical Data Sciences, Molecular Epidemiology section, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jagadish Vangipurapu
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Henrik Vestergaard
- The Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, DK-2100, Denmark
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Paul W Franks
- Department of Clinical Science, Genetic and Molecular Epidemiology, Lund University Diabetes Centre, Malmö, Sweden
| | - Gary Frost
- Nutrition and Dietetics Research Group, Imperial College London, London, SW7 2AZ, United Kingdom
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, 85764, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Bernd Jablonka
- Sanofi Partnering, Sanofi-Aventis Deutschland GmbH, Frankfurt am Main, 65926, Germany
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, United Kingdom
- GENENTECH, 1 DNA Way, San Francisco, CA, 94080, USA
| | - Imre Pavo
- Eli Lilly Regional Operations Ges.m.b.H, Vienna, 1030, Austria
| | - Oluf Pedersen
- Center for Clinical Metabolic Research, Herlev and Gentofte University Hospital, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2100, Denmark
| | - Hartmut Ruetten
- Sanofi Partnering, Sanofi-Aventis Deutschland GmbH, Frankfurt am Main, 65926, Germany
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, University of Newcastle, Newcastle upon Tyne, United Kingdom
| | - Jerzy Adamski
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Institute of Experimental Genetics, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, 85764, Germany
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Solna, SE-171 21, Sweden
| | - Ewan R Pearson
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, United Kingdom
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, 1211, Switzerland.
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 1211, Switzerland.
- Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland.
| | - Ana Viñuela
- Biosciences Institute, Faculty of Medical Sciences, University of Newcastle, Newcastle upon Tyne, NE1 4EP, United Kingdom.
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4
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Julkunen V, Schwarz C, Kalapudas J, Hallikainen M, Piironen AK, Mannermaa A, Kujala H, Laitinen T, Kosma VM, Paajanen TI, Kälviäinen R, Hiltunen M, Herukka SK, Kärkkäinen S, Kokkola T, Urjansson M, Perola M, Palotie A, Vuoksimaa E, Runz H. A FinnGen pilot clinical recall study for Alzheimer's disease. Sci Rep 2023; 13:12641. [PMID: 37537264 PMCID: PMC10400697 DOI: 10.1038/s41598-023-39835-7] [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] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023] Open
Abstract
Successful development of novel therapies requires that clinical trials are conducted in patient cohorts with the highest benefit-to-risk ratio. Population-based biobanks with comprehensive health and genetic data from large numbers of individuals hold promise to facilitate identification of trial participants, particularly when interventions need to start while symptoms are still mild, such as for Alzheimer's disease (AD). This study describes a process for clinical recall studies from FinnGen. We demonstrate the feasibility to systematically ascertain customized clinical data from FinnGen participants with ICD10 diagnosis of AD or mild cognitive disorder (MCD) in a single-center cross-sectional study testing blood-based biomarkers and cognitive functioning in-person, computer-based and remote. As a result, 19% (27/140) of a pre-specified FinnGen subcohort were successfully recalled and completed the study. Hospital records largely validated registry entries. For 8/12 MCD patients, other reasons than AD were identified as underlying diagnosis. Cognitive measures correlated across platforms, with highest consistencies for dementia screening (r = 0.818) and semantic fluency (r = 0.764), respectively, for in-person versus telephone-administered tests. Glial fibrillary acidic protein (GFAP) (p < 0.002) and phosphorylated-tau 181 (pTau-181) (p < 0.020) most reliably differentiated AD from MCD participants. We conclude that informative, customized clinical recall studies from FinnGen are feasible.
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Affiliation(s)
- Valtteri Julkunen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.
- Department of Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland.
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Claudia Schwarz
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Juho Kalapudas
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Merja Hallikainen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | | | | | | | | | | | - Teemu I Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Reetta Kälviäinen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Mikko Hiltunen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Sari Kärkkäinen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Mia Urjansson
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Heiko Runz
- Translational Sciences, Biogen, Cambridge, MA, USA.
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5
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Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Leal Rodríguez C, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, 't Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, Banasik K, Rasmussen S, Brunak S. Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models. Nat Biotechnol 2023; 41:1026. [PMID: 37130959 PMCID: PMC10344774 DOI: 10.1038/s41587-023-01805-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Affiliation(s)
- Rosa Lundbye Allesøe
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Agnete Troen Lundgaard
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ricardo Hernández Medina
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alejandro Aguayo-Orozco
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Joachim Johansen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Jakob Nybo Nissen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Gianluca Mazzoni
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lili Niu
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jorge Hernansanz Biel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Cristina Leal Rodríguez
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valentas Brasas
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henry Webel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Eriksen Benros
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders Gorm Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Piotr Jaroslaw Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ulrik Plesner Jacobsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
- Chair of Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising, Germany
| | - Mark Haid
- Metabolomics and Proteomics Core, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B Musholt
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Federico De Masi
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Josef Vogt
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valborg Gudmundsdottir
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Imperial College London, London, UK
| | - Henrik Thomsen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Elizaveta Hansen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marieke T Blom
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Biomedical Data Science, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Francois Pattou
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Violeta Raverdy
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | - Miranda Mourby
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | - Jane Kaye
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | | | - Martin Ridderstråle
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Ian Forgie
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, CRC, Lund University, SUS, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations, Vienna, Austria
| | - Hartmut Ruetten
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Paul W Franks
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- OCDEM, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Ewan Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
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6
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Vanninen A, Lukkarinen H, Kokkola T, Koivisto AM, Kokki M, Musialowicz T, Hiltunen M, Zetterberg H, Leinonen V, Herukka SK, Rauramaa T. Cerebrospinal Fluid Diagnostics of Alzheimer's Disease in Patients with Idiopathic Normal Pressure Hydrocephalus. J Alzheimers Dis 2023:JAD230144. [PMID: 37334597 PMCID: PMC10357203 DOI: 10.3233/jad-230144] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia worldwide and a frequent comorbidity in idiopathic normal pressure hydrocephalus (iNPH). The presence of AD pathology is associated with worse outcomes after a shunt procedure in iNPH. Preoperative diagnosis of AD is challenging in patients with iNPH, which involves reduced concentrations of the cerebrospinal fluid (CSF) AD biomarkers. OBJECTIVE Our aim was to estimate the effect size of iNPH as a factor in CSF levels of AD biomarkers and to test if correction could be used to improve diagnostic value. METHODS Our cohort included 222 iNPH patients with data in the Kuopio NPH registry and brain biopsy and CSF samples available. We divided the patients into groups according to AD pathology per brain biopsy. For control cohorts, we had CSF samples from cognitively healthy individuals (n = 33) and patients with diagnosed AD and no iNPH (n = 39).*-31ptResults:Levels of all investigated biomarkers differed significantly between groups, with the exception of t-Tau levels between healthy individuals and iNPH patients with AD pathology. Applying a correction factor for each biomarker (0.842*Aβ 1 - 42, 0.779*t-Tau, and 0.610*P-Tau181) for the effect of iNPH yielded a sensitivity of 2.4% and specificity of 100%. The ratio of P-Tau181 to Aβ 1 - 42 was moderately effective in aiding recognition of AD pathology in iNPH patients (sensitivity 0.79, specificity 0.76, area under the curve 0.824). CONCLUSION Correcting for iNPH as a factor failed to improve diagnostic effectiveness, but the P-Tau181/Aβ 1 - 42 ratio showed some utility in the diagnosis of AD in iNPH patients.
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Affiliation(s)
- Aleksi Vanninen
- Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
- Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Heikki Lukkarinen
- Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
- Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anne M Koivisto
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Department of Neurosciences, University of Helsinki, Helsinki, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
| | - Merja Kokki
- School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Anaesthesia and Intensive Care Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Tadeusz Musialowicz
- Department of Anaesthesia and Intensive Care Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ville Leinonen
- Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
- Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital, Kuopio, Finland
- Pathology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
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7
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Weiner S, Junkkari A, Sauer M, Luikku A, Rauramaa T, Kokkola T, Herukka SK, Blennow K, Zetterberg H, Leinonen V, Gobom J. Novel cerebrospinal fluid biomarkers correlating with shunt responsiveness in patients with idiopathic normal pressure hydrocephalus. Fluids Barriers CNS 2023; 20:40. [PMID: 37277809 DOI: 10.1186/s12987-023-00440-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/09/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Idiopathic Normal pressure hydrocephalus (iNPH) is a form of adult hydrocephalus that is clinically characterized by progressive gait impairment, cognitive dysfunction, and urinary incontinence. The current standard method of treatment involves surgical installation of a CSF diversion shunt. However, only a fraction of patients shows an alleviation of symptoms from shunt surgery. Thus, the purpose of this prospective explorative proteomic study was to identify prognostic CSF biomarkers to predict shunt responsiveness in iNPH patients. Further, we evaluated the ability of the core Alzheimer's disease (AD) CSF biomarkers phosphorylated (p)-tau, total (t)-tau, and amyloid-β 1-42 (Aβ1-42) to serve as predictors of shunt response. METHODS We conducted a tandem mass tag (TMT) proteomic analysis of lumbar CSF from 68 iNPH patients, sampled pre-shunt surgery. Tryptic digests of CSF samples were labelled with TMTpro reagents. The TMT multiplex samples were fractionated in 24 concatenated fractions by reversed-phase chromatography at basic pH and analysed by liquid chromatography coupled to mass spectrometry (LC-MS) on an Orbitrap Lumos mass spectrometer. The relative abundances of the identified proteins were correlated with (i) iNPH grading scale (iNPHGS) and (ii) gait speed change 1 year after surgery from baseline to identify predictors of shunt responsiveness. RESULTS We identified four CSF biomarker candidates which correlated most strongly with clinical improvement on the iNPHGS and were significantly changed in shunt-responsive compared to shunt-unresponsive iNPH patients 1 year post-surgery: FABP3 (R = - 0.46, log2(fold change (FC)) = - 0.25, p < 0.001), ANXA4 (R = 0.46, log2(FC) = 0.32, p < 0.001), MIF (R = -0.49, log2(FC) = - 0.20, p < 0.001) and B3GAT2 (R = 0.54, log2(FC) = 0.20, p < 0.001). In addition, five biomarker candidates were selected based on their strong correlation with gait speed change 1 year after shunt installation: ITGB1 (R = - 0.48, p < 0.001), YWHAG (R = - 0.41, p < 0.01), OLFM2 (R = 0.39, p < 0.01), TGFBI (R = - 0.38, p < 0.01), and DSG2 (R = 0.37, p < 0.01). Concentrations of the CSF AD core biomarkers did not differ significantly with shunt responsiveness. CONCLUSION FABP3, MIF, ANXA4, B3GAT2, ITGB1, YWHAG, OLFM2, TGFBI and DSG2 in CSF are promising prognostic biomarker candidates to predict shunt responsiveness in iNPH patients.
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Affiliation(s)
- Sophia Weiner
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | - Antti Junkkari
- Department of Neurosurgery, NeuroCenter, Kuopio University Hospital and Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mathias Sauer
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Antti Luikku
- Department of Neurosurgery, NeuroCenter, Kuopio University Hospital and Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Department of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ville Leinonen
- Department of Neurosurgery, NeuroCenter, Kuopio University Hospital and Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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8
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Wittrahm R, Takalo M, Kuulasmaa T, Mäkinen PM, Mäkinen P, Končarević S, Fartzdinov V, Selzer S, Kokkola T, Antikainen L, Martiskainen H, Kemppainen S, Marttinen M, Jeskanen H, Rostalski H, Rahunen E, Kivipelto M, Ngandu T, Natunen T, Lambert JC, Tanzi RE, Kim DY, Rauramaa T, Herukka SK, Soininen H, Laakso M, Pike I, Leinonen V, Haapasalo A, Hiltunen M. Protective Alzheimer's disease-associated APP A673T variant predominantly decreases sAPPβ levels in cerebrospinal fluid and 2D/3D cell culture models. Neurobiol Dis 2023; 182:106140. [PMID: 37120095 DOI: 10.1016/j.nbd.2023.106140] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/23/2023] [Accepted: 04/25/2023] [Indexed: 05/01/2023] Open
Abstract
The rare A673T variant was the first variant found within the amyloid precursor protein (APP) gene conferring protection against Alzheimer's disease (AD). Thereafter, different studies have discovered that the carriers of the APP A673T variant show reduced levels of amyloid beta (Aβ) in the plasma and better cognitive performance at high age. Here, we analyzed cerebrospinal fluid (CSF) and plasma of APP A673T carriers and control individuals using a mass spectrometry-based proteomics approach to identify differentially regulated targets in an unbiased manner. Furthermore, the APP A673T variant was introduced into 2D and 3D neuronal cell culture models together with the pathogenic APP Swedish and London mutations. Consequently, we now report for the first time the protective effects of the APP A673T variant against AD-related alterations in the CSF, plasma, and brain biopsy samples from the frontal cortex. The CSF levels of soluble APPβ (sAPPβ) and Aβ42 were significantly decreased on average 9-26% among three APP A673T carriers as compared to three well-matched controls not carrying the protective variant. Consistent with these CSF findings, immunohistochemical assessment of cortical biopsy samples from the same APP A673T carriers did not reveal Aβ, phospho-tau, or p62 pathologies. We identified differentially regulated targets involved in protein phosphorylation, inflammation, and mitochondrial function in the CSF and plasma samples of APP A673T carriers. Some of the identified targets showed inverse levels in AD brain tissue with respect to increased AD-associated neurofibrillary pathology. In 2D and 3D neuronal cell culture models expressing APP with the Swedish and London mutations, the introduction of the APP A673T variant resulted in lower sAPPβ levels. Concomitantly, the levels of sAPPα were increased, while decreased levels of CTFβ and Aβ42 were detected in some of these models. Our findings emphasize the important role of APP-derived peptides in the pathogenesis of AD and demonstrate the effectiveness of the protective APP A673T variant to shift APP processing towards the non-amyloidogenic pathway in vitro even in the presence of two pathogenic mutations.
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Affiliation(s)
- Rebekka Wittrahm
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Mari Takalo
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Teemu Kuulasmaa
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Petra M Mäkinen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Petri Mäkinen
- A.I. Virtanen Institute for Molecular Sciences, 70211 Kuopio, Finland.
| | | | | | - Stefan Selzer
- Proteome Sciences GmbH & Co. KG, 60438 Frankfurt, Germany.
| | - Tarja Kokkola
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210 Kuopio, Finland.
| | - Leila Antikainen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210 Kuopio, Finland.
| | - Henna Martiskainen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Susanna Kemppainen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Mikael Marttinen
- Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
| | - Heli Jeskanen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Hannah Rostalski
- A.I. Virtanen Institute for Molecular Sciences, 70211 Kuopio, Finland.
| | - Eija Rahunen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Miia Kivipelto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom; Theme Aging, Karolinska University Hospital, Stockholm, Sweden; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Tiia Ngandu
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Teemu Natunen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
| | - Jean-Charles Lambert
- U1167, University of Lille, Inserm, Institut Pasteur de Lille, F-59000 Lille, France.
| | - Rudolph E Tanzi
- Genetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
| | - Doo Yeon Kim
- Genetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
| | - Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital, 70211 Kuopio, Finland; Unit of Pathology, Institute of Clinical Medicine, University of Eastern Finland, 70210 Kuopio, Finland.
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland, 70210 Kuopio, Finland; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland, 70210 Kuopio, Finland.
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210 Kuopio, Finland; Department of Medicine, Kuopio University Hospital, 70210 Kuopio, Finland.
| | - Ian Pike
- Proteome Sciences plc, Hamilton House, London, WC1H 9BB, UK.
| | - Ville Leinonen
- Department of Neurosurgery, Kuopio University Hospital, and Institute of Clinical Medicine, Unit of Neurosurgery, University of Eastern Finland, Kuopio, Finland.
| | | | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, 70211 Kuopio, Finland.
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9
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Heikkinen S, Huber N, Katisko K, Kokkola T, Hartikainen P, Krüger J, Leinonen V, Korhonen VE, Herukka SK, Remes AM, Borroni B, Alberici A, Libri I, Solje E, Haapasalo A. Serum Cathepsin S Levels Do Not Show Alterations in Different Clinical, Neuropathological, or Genetic Subtypes of Frontotemporal Dementia Patients nor in Comparison to Healthy Control Individuals. J Alzheimers Dis 2023; 93:395-401. [PMID: 37038815 DOI: 10.3233/jad-221060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Frontotemporal dementia (FTD) can manifest as diverse clinical phenotypes and is frequently caused by mutations in different genes, complicating differential diagnosis. This underlines the urgent need for valid biomarkers. Altered lysosomal and immune functions proposedly contribute to FTD pathogenesis. Cathepsins, including cathepsin S, are enzymes preferentially expressed in brain in microglia, which influence lysosomal and immune function. Here, we examined whether alterations in serum cathepsin S levels associate with specific clinical, genetic, or neuropathological FTD subgroups, but no such alterations were observed. However, further research on other lysosomal proteins may reveal new biologically relevant biomarkers in FTD.
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Affiliation(s)
- Sami Heikkinen
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
| | - Nadine Huber
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Kasper Katisko
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
| | - Päivi Hartikainen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Johanna Krüger
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Ville Leinonen
- Neuro Center, Neurosurgery, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine –Neurosurgery, University of Eastern Finland, Kuopio, Finland
| | - Ville E. Korhonen
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anne M. Remes
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Barbara Borroni
- Department of Neurological Sciences, University of Brescia, Brescia, Italy
| | - Antonella Alberici
- Department of Neurological Sciences, University of Brescia, Brescia, Italy
| | - Ilenia Libri
- Department of Neurological Sciences, University of Brescia, Brescia, Italy
| | - Eino Solje
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, Kuopio, Finland
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
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10
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Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, 't Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, Banasik K, Rasmussen S, Brunak S, Thomas CE, Haussler R, Beulens J, Rutters F, Nijpels G, van Oort S, Groeneveld L, Elders P, Giorgino T, Rodriquez M, Nice R, Perry M, Bianzano S, Graefe-Mody U, Hennige A, Grempler R, Baum P, Stærfeldt HH, Shah N, Teare H, Ehrhardt B, Tillner J, Dings C, Lehr T, Scherer N, Sihinevich I, Cabrelli L, Loftus H, Bizzotto R, Tura A, Dekkers K, van Leeuwen N, Groop L, Slieker R, Ramisch A, Jennison C, McVittie I, Frau F, Steckel-Hamann B, Adragni K, Thomas M, Pasdar NA, Fitipaldi H, Kurbasic A, Mutie P, Pomares-Millan H, Bonnefond A, Canouil M, Caiazzo R, Verkindt H, Holl R, Kuulasmaa T, Deshmukh H, Cederberg H, Laakso M, Vangipurapu J, Dale M, Thorand B, Nicolay C, Fritsche A, Hill A, Hudson M, Thorne C, Allin K, Arumugam M, Jonsson A, Engelbrechtsen L, Forman A, Dutta A, Sondertoft N, Fan Y, Gough S, Robertson N, McRobert N, Wesolowska-Andersen A, Brown A, Davtian D, Dawed A, Donnelly L, Palmer C, White M, Ferrer J, Whitcher B, Artati A, Prehn C, Adam J, Grallert H, Gupta R, Sackett PW, Nilsson B, Tsirigos K, Eriksen R, Jablonka B, Uhlen M, Gassenhuber J, Baltauss T, de Preville N, Klintenberg M, Abdalla M. Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models. Nat Biotechnol 2023; 41:399-408. [PMID: 36593394 PMCID: PMC10017515 DOI: 10.1038/s41587-022-01520-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 03/15/2022] [Accepted: 09/20/2022] [Indexed: 01/03/2023]
Abstract
The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug-omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug-drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.
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Affiliation(s)
- Rosa Lundbye Allesøe
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.,Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Agnete Troen Lundgaard
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ricardo Hernández Medina
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alejandro Aguayo-Orozco
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Joachim Johansen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Jakob Nybo Nissen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Gianluca Mazzoni
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lili Niu
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jorge Hernansanz Biel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valentas Brasas
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henry Webel
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Eriksen Benros
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders Gorm Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Piotr Jaroslaw Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ulrik Plesner Jacobsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.,Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany.,Chair of Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising, Germany
| | - Mark Haid
- Metabolomics and Proteomics Core, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B Musholt
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Federico De Masi
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Josef Vogt
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Valborg Gudmundsdottir
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Imperial College London, London, UK
| | - Henrik Thomsen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Elizaveta Hansen
- Department of Radiology, Copenhagen University Hospital Herlev-Gentofte, Herlev, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marieke T Blom
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Department of Biomedical Data Science, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Francois Pattou
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Violeta Raverdy
- Inserm, Univ Lille, CHU Lille, Lille Pasteur Institute, EGID, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | - Miranda Mourby
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | - Jane Kaye
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | | | - Martin Ridderstråle
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Ian Forgie
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, CRC, Lund University, SUS, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations, Vienna, Austria
| | - Hartmut Ruetten
- Research and Development Global Development, Translational Medicine and Clinical Pharmacology, Sanofi-Aventis Deutschland, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Paul W Franks
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Harvard T.H. Chan School of Public Health, Boston, MA, USA.,OCDEM, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.,Genentech, South San Francisco, CA, USA
| | - Ewan Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
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11
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Lukkarinen H, Vanninen A, Tesseur I, Pemberton D, Van Der Ark P, Kokkola T, Herukka SK, Rauramaa T, Hiltunen M, Blennow K, Zetterberg H, Leinonen V. Concordance of Alzheimer's Disease-Related Biomarkers Between Intraventricular and Lumbar Cerebrospinal Fluid in Idiopathic Normal Pressure Hydrocephalus. J Alzheimers Dis 2023; 91:305-319. [PMID: 36404546 PMCID: PMC9881032 DOI: 10.3233/jad-220652] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Alzheimer's disease cerebrospinal fluid (CSF) biomarkers amyloid-β 1-42 (Aβ42), total tau (T-tau), and phosphorylated tau 181 (P-tau181) are widely used. However, concentration gradient of these biomarkers between intraventricular (V-CSF) and lumbar CSF (L-CSF) has been demonstrated in idiopathic normal pressure hydrocephalus (iNPH), potentially affecting clinical utility. OBJECTIVE Here we aim to provide conversion factors for clinical and research use between V-CSF and L-CSF. METHODS Altogether 138 iNPH patients participated. L-CSF samples were obtained prior to shunt surgery. Intraoperative V-CSF samples were obtained from 97 patients. Post-operative follow-up L- and V-CSF (shunt reservoir) samples of 41 patients were obtained 1-73 months after surgery and then after 3, 6, and 18 months. CSF concentrations of Aβ42, T-tau, and P-tau181 were analyzed using commercial ELISA assays. RESULTS Preoperative L-CSF Aβ42, T-tau, and P-tau181 correlated to intraoperative V-CSF (ρ= 0.34-0.55, p < 0.001). Strong correlations were seen between postoperative L- and V-CSF for all biomarkers in every follow-up sampling point (ρs Aβ42: 0.77-0.88, T-tau: 0.91-0.94, P-tau181: 0.94-0.96, p < 0.0001). Regression equations were determined for intraoperative V- and preoperative L-CSF (Aβ42: V-CSF = 185+0.34*L-CSF, T-tau: Ln(V-CSF) = 3.11+0.49*Ln(L-CSF), P-tau181: V-CSF = 8.2+0.51*L-CSF), and for postoperative V- and L-CSF (Aβ42: V-CSF = 86.7+0.75*L-CSF, T-tau: V-CSF = 86.9+0.62*L-CSF, P-tau181: V-CSF = 2.6+0.74*L-CSF). CONCLUSION Aβ42, T-tau, and P-tau181 correlate linearly in-between V- and L-CSF, even stronger after CSF shunt surgery. Equations presented here, provide a novel tool to use V-CSF for diagnostic and prognostic entities relying on the L-CSF concentrations and can be applicable to clinical use when L-CSF samples are not available or less invasively obtained shunt reservoir samples should be interpreted.
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Affiliation(s)
- Heikki Lukkarinen
- Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland and Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland,Correspondence to: Heikki Lukkarinen, Department of Neurosurgery, Kuopio University Hospital, P.O. Box 100, FI-70029 KYS, Kuopio, Finland. Tel.: +358 45 895 4260; E-mail:
| | - Aleksi Vanninen
- Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland and Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
| | - Ina Tesseur
- UCB Biopharma SRL, Braine-l’Alleud, Belgium,Janssen Research & Development, A division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Darrel Pemberton
- Janssen Research & Development, A division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Peter Van Der Ark
- Janssen Research & Development, A division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Tarja Kokkola
- Department of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Department of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,
Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK,UK Dementia Research Institute, UCL, London, UK,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Ville Leinonen
- Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland and Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
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12
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Katisko K, Huber N, Kokkola T, Hartikainen P, Krüger J, Heikkinen AL, Paananen V, Leinonen V, Korhonen VE, Helisalmi S, Herukka SK, Cantoni V, Gadola Y, Archetti S, Remes AM, Haapasalo A, Borroni B, Solje E. Serum total TDP-43 levels are decreased in frontotemporal dementia patients with C9orf72 repeat expansion or concomitant motoneuron disease phenotype. Alzheimers Res Ther 2022; 14:151. [PMID: 36217158 PMCID: PMC9552448 DOI: 10.1186/s13195-022-01091-8] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/29/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Frontotemporal dementia (FTD) covers a spectrum of neurodegenerative disorders with various clinical and neuropathological subtypes. The two major pathological proteins accumulating in the brains of FTD patients, depending on their genetic background, are TDP-43 and tau. We aimed to evaluate whether total TDP-43 levels measured from the serum associate with the genotype or clinical phenotype of the FTD patients and whether serum TDP-43 provides prognostic or diagnostic value in the FTD spectrum disorders. METHODS The study cohort included 254 participants with a clinical diagnosis of FTD (including all major genotypes and clinical phenotypes) and 105 cognitively healthy controls. Serum total TDP-43 levels measured with a single-molecule array (Simoa) were compared within the FTD group according to the genotype, clinical phenotype, and predicted neuropathological subtype of the patients. We also evaluated the associations between the TDP-43 levels and disease severity or survival in FTD. RESULTS Total TDP-43 levels in the serum were significantly lower in the FTD group as compared to the healthy control group (275.3 pg/mL vs. 361.8 pg/mL, B = 0.181, 95%CI = 0.014-0.348, p = 0.034). The lowest TDP-43 levels were observed in the subgroup of FTD patients harboring predicted TDP-43 brain pathology (FTD-TDP, 241.4 pg/mL). The low levels in the FTD-TDP group were especially driven by C9orf72 repeat expansion carriers (169.2 pg/mL) and FTD patients with concomitant motoneuron disease (FTD-MND, 113.3 pg/mL), whereas GRN mutation carriers did not show decreased TDP-43 levels (328.6 pg/mL). Serum TDP-43 levels showed no correlation with disease severity nor progression in FTD. CONCLUSIONS Our results indicate that the total levels of TDP-43 in the serum are decreased especially in FTD patients with the C9orf72 repeat expansion or FTD-MND phenotype, both subtypes strongly associated with TDP-43 type B brain pathology. Serum-based measurement of TDP-43 could represent a useful tool in indicating C9orf72 repeat expansion and FTD-MND-related TDP-43 neuropathology for future diagnostics and intervention studies.
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Affiliation(s)
- Kasper Katisko
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurology, University of Eastern Finland, P.O. Box 1627 (Yliopistonranta 1C), FI-70211 Kuopio, Finland
| | - Nadine Huber
- grid.9668.10000 0001 0726 2490A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurology, University of Eastern Finland, P.O. Box 1627 (Yliopistonranta 1C), FI-70211 Kuopio, Finland
| | - Päivi Hartikainen
- grid.410705.70000 0004 0628 207XNeuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Johanna Krüger
- grid.10858.340000 0001 0941 4873Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland ,grid.412326.00000 0004 4685 4917MRC, Oulu University Hospital, Oulu, Finland ,grid.412326.00000 0004 4685 4917Neurology, Neurocenter, Oulu University Hospital, Oulu, Finland
| | - Anna-Leena Heikkinen
- grid.10858.340000 0001 0941 4873Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland ,grid.412326.00000 0004 4685 4917MRC, Oulu University Hospital, Oulu, Finland ,grid.412326.00000 0004 4685 4917Neurology, Neurocenter, Oulu University Hospital, Oulu, Finland ,grid.6975.d0000 0004 0410 5926Finnish Institute of Occupational Health, Work Ability and Working Careers, Helsinki, Finland
| | - Veera Paananen
- grid.10858.340000 0001 0941 4873Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland ,grid.412326.00000 0004 4685 4917MRC, Oulu University Hospital, Oulu, Finland ,grid.412326.00000 0004 4685 4917Neurology, Neurocenter, Oulu University Hospital, Oulu, Finland
| | - Ville Leinonen
- grid.410705.70000 0004 0628 207XNeuro Center, Neurosurgery, Kuopio University Hospital, 70029 Kuopio, Finland ,grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, 70211 Kuopio, Finland
| | - Ville E. Korhonen
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurology, University of Eastern Finland, P.O. Box 1627 (Yliopistonranta 1C), FI-70211 Kuopio, Finland ,grid.410705.70000 0004 0628 207XNeuro Center, Neurosurgery, Kuopio University Hospital, 70029 Kuopio, Finland ,grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, 70211 Kuopio, Finland
| | - Seppo Helisalmi
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurology, University of Eastern Finland, P.O. Box 1627 (Yliopistonranta 1C), FI-70211 Kuopio, Finland ,grid.410705.70000 0004 0628 207XNeuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Valentina Cantoni
- grid.7637.50000000417571846Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Yasmine Gadola
- grid.7637.50000000417571846Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | - Anne M. Remes
- grid.10858.340000 0001 0941 4873Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland ,grid.412326.00000 0004 4685 4917Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Annakaisa Haapasalo
- grid.9668.10000 0001 0726 2490A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Barbara Borroni
- grid.7637.50000000417571846Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy ,grid.412725.7ASST Spedali Civili, Brescia, Italy
| | - Eino Solje
- grid.9668.10000 0001 0726 2490Institute of Clinical Medicine – Neurology, University of Eastern Finland, P.O. Box 1627 (Yliopistonranta 1C), FI-70211 Kuopio, Finland ,grid.410705.70000 0004 0628 207XNeuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
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13
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Wesolowska-Andersen A, Brorsson CA, Bizzotto R, Mari A, Tura A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Prehn C, Artati A, Hong MG, Musholt PB, Kurbasic A, De Masi F, Tsirigos K, Pedersen HK, Gudmundsdottir V, Thomas CE, Banasik K, Jennison C, Jones A, Kennedy G, Bell J, Thomas L, Frost G, Thomsen H, Allin K, Hansen TH, Vestergaard H, Hansen T, Rutters F, Elders P, t’Hart L, Bonnefond A, Canouil M, Brage S, Kokkola T, Heggie A, McEvoy D, Hattersley A, McDonald T, Teare H, Ridderstrale M, Walker M, Forgie I, Giordano GN, Froguel P, Pavo I, Ruetten H, Pedersen O, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, Pearson E, McCarthy MI, Brunak S. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study. Cell Rep Med 2022; 3:100477. [PMID: 35106505 PMCID: PMC8784706 DOI: 10.1016/j.xcrm.2021.100477] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [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: 12/08/2020] [Revised: 06/21/2021] [Accepted: 11/23/2021] [Indexed: 12/11/2022]
Abstract
The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct subgroups using data-driven approaches, but their clinical utility may be limited if categorical representations of complex phenotypes are suboptimal. We apply a soft-clustering (archetype) method to characterize newly diagnosed T2D based on 32 clinical variables. We assign quantitative clustering scores for individuals and investigate the associations with glycemic deterioration, genetic risk scores, circulating omics biomarkers, and phenotypic stability over 36 months. Four archetype profiles represent dysfunction patterns across combinations of T2D etiological processes and correlate with multiple circulating biomarkers. One archetype associated with obesity, insulin resistance, dyslipidemia, and impaired β cell glucose sensitivity corresponds with the fastest disease progression and highest demand for anti-diabetic treatment. We demonstrate that clinical heterogeneity in T2D can be mapped to heterogeneity in individual etiological processes, providing a potential route to personalized treatments.
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Affiliation(s)
| | - Caroline A. Brorsson
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Andrea Mari
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Andrea Tura
- C.N.R. Institute of Neuroscience, Padova, Italy
| | - Robert Koivula
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | | | - Sapna Sharma
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Mark Haid
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Anna Artati
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Mun-Gwan Hong
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Petra B. Musholt
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Azra Kurbasic
- University of Lund, Clinical Sciences, Malmö, Sweden
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Kostas Tsirigos
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Helle Krogh Pedersen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Valborg Gudmundsdottir
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Cecilia Engel Thomas
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Angus Jones
- University of Exeter Medical School, Exeter, UK
| | - Gwen Kennedy
- The Immunoassay Biomarker Core Laboratory, Shool of Medicine, University of Dundee, Dundee, UK
| | - Jimmy Bell
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
| | - Louise Thomas
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, UK
| | - Henrik Thomsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Allin
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tue Haldor Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
| | - Petra Elders
- Department of General Practice, Amsterdam UMC-location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Leen t’Hart
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Amelie Bonnefond
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Mickaël Canouil
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
| | | | | | - Harriet Teare
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
| | | | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Giuseppe N. Giordano
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Philippe Froguel
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Hartmut Ruetten
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | | | - Jochen M. Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
| | | | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Søren Brunak
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - IMI DIRECT Consortium
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- C.N.R. Institute of Neuroscience, Padova, Italy
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
- R&D Global Development, Translational Medicine & Clinical Pharmacology (TMCP), Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
- University of Lund, Clinical Sciences, Malmö, Sweden
- Department of Mathematical Sciences, University of Bath, Bath, UK
- University of Exeter Medical School, Exeter, UK
- The Immunoassay Biomarker Core Laboratory, Shool of Medicine, University of Dundee, Dundee, UK
- Research Centre for Optimal Health, Deparment of Life Sciences, University of Westminster, London, UK
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC-location VUmc, Amsterdam, the Netherlands
- Department of General Practice, Amsterdam UMC-location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille University Hospital, Lille, France
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Cellular Medicine, Newcastle University, Newcastle, UK
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle, UK
- Centre for Health, Law and Emerging Technologies (HeLEX), Faculty of Law, University of Oxford, Oxford, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
- University of Dundee, Dundee, UK
- Eli Lilly Regional Operations GmbH, Vienna, Austria
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
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14
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Katisko K, Cajanus A, Huber N, Jääskeläinen O, Kokkola T, Kärkkäinen V, Rostalski H, Hartikainen P, Koivisto AM, Hannonen S, Lehtola JM, Korhonen VE, Helisalmi S, Koivumaa-Honkanen H, Herukka SK, Remes AM, Solje E, Haapasalo A. GFAP as a biomarker in frontotemporal dementia and primary psychiatric disorders: diagnostic and prognostic performance. J Neurol Neurosurg Psychiatry 2021; 92:1305-1312. [PMID: 34187866 DOI: 10.1136/jnnp-2021-326487] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [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: 02/25/2021] [Accepted: 06/12/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Frontotemporal lobar degeneration (FTLD) and primary psychiatric disorders (PPD) are characterised by overlapping clinical features but different aetiologies. Here, we assessed for the first time the potential of blood glial fibrillar acidic protein (GFAP), marker of astrogliosis, as a discriminative and prognostic tool in FTLD and PPD. METHODS The levels of GFAP in serum (sGFAP) of patients with FTLD (N=107) and PPD (N=44) and GFAP in whole blood samples (bGFAP) from FTLD (N=10), PPD (N=10) and healthy controls (N=18) were measured. We evaluated whether the sGFAP levels associate with C9orf72 repeat expansion, survival of FTLD and PPD patients, and brain atrophy assessed cross-sectionally and longitudinally by structural T1W MRI. We also examined the correlation between sGFAP and bGFAP levels in a subset of patients. RESULTS sGFAP and bGFAP levels were elevated in the FTLD group compared with the PPD or control groups. Receiver operating characteristic analysis indicated an excellent diagnostic performance between FTLD and PPD (the area under the curve (AUC)=0.820, 95% CI 0.745 to 0.896). sGFAP and bGFAP levels showed a strong correlation and elevated sGFAP levels significantly associated with atrophy rate in the temporal cortex and predicted shorter survival time in patients with FTLD. No association with C9orf72 repeat expansion was detected. CONCLUSIONS sGFAP enabled differentiation of patients with FTLD and PPD and associated with shorter survival and more severe brain atrophy rate in patients with FTLD. These results suggest that blood-based GFAP represents a minimally invasive and useful biomarker in the differential diagnostics between patients with FTLD and PPD and in evaluating disease progression and astrogliosis in FTLD.
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Affiliation(s)
- Kasper Katisko
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Antti Cajanus
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Nadine Huber
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Olli Jääskeläinen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Virve Kärkkäinen
- Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Hannah Rostalski
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Paivi Hartikainen
- Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anne M Koivisto
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland.,Department of Internal Medicine and Rehabilitation, Geriatrics, Helsinki University Hospital, Helsinki, Finland.,Department of Neurosciences, University of Helsinki, Helsinki, Finland
| | - Sanna Hannonen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Juha-Matti Lehtola
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Ville E Korhonen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Seppo Helisalmi
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Heli Koivumaa-Honkanen
- Institute of Clinical Medicine, Psychiatry, University of Eastern Finland, Kuopio, Finland.,Mental Health and Wellbeing Center, Kuopio University Hospital, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anne M Remes
- Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Eino Solje
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland .,Neuro center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
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15
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Niiranen M, Kontkanen A, Jääskeläinen O, Tertsunen HM, Selander T, Hartikainen P, Huber N, Solje E, Haapasalo A, Kokkola T, Lohioja T, Herukka SK, Simula S, Remes AM. Serum GFAP and NfL levels in benign relapsing-remitting multiple sclerosis. Mult Scler Relat Disord 2021; 56:103280. [PMID: 34627002 DOI: 10.1016/j.msard.2021.103280] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 09/13/2021] [Accepted: 09/23/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE We aimed to investigate serum glial fibrillary acidic protein (GFAP) and serum neurofilament light chain (NfL) levels as potential discriminative biomarkers between benign relapsing-remitting multiple sclerosis (BRRMS) and aggressive relapsing-remitting MS (ARRMS). METHODS Serum GFAP and NfL levels were analyzed in patients with BRRMS (n = 34), ARRMS (n = 29), and healthy controls (n = 14) by using Single Molecule Array (Simoa). Patients with ARRMS had been treated with highly effective disease-modifying treatments (DMT) (fingolimod or natalizumab). RESULTS Serum GFAP levels in both BRRMS (median 210.19 pg/ml, IQR 163.69-287.19) and in ARRMS (median 188.60 pg/ml, IQR39.23-244.93) were significantly higher (p = 0.035 and p = 0.034, respectively) compared to healthy controls (median 117.93 pg/ml, IQR 60.28-183.83). Serum GFAP levels did not differ between BRRMS and ARRMS. There were no statistical differences in NfL levels between BRRMS, ARRMS and healthy controls. GFAP level was significantly higher (p = 0.04) in BRRMS without DMT (median 216.04 pg/ml, IQR 188.60-274.79) than in those BRRMS patients who had used DMT (median 196.26 pg/ml, IQR 133.33-325.54). CONCLUSIONS We found elevated levels of serum GFAP in both BRRMS and ARRMS compared to healthy controls, reflecting astrocytic activation. Serum NfL did not differ between BRRMS and ARRMS, probably due to the stable inflammatory phase of the disease and effective DMT use in ARRMS. Single serum NfL and GFAP measurements cannot separate a patient with BRRMS from effectively treated ARRMS after a long history of the disease, thus consecutive samples are needed in the follow-up.
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Affiliation(s)
- Marja Niiranen
- Neuro Center, Neurology Outpatient Clinic, Kuopio University Hospital, P.O. BOX 100, Kuopio FI-70029, Finland.
| | - Aleksi Kontkanen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Olli Jääskeläinen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Hanna-Mari Tertsunen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tuomas Selander
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Päivi Hartikainen
- Neuro Center, Neurology Outpatient Clinic, Kuopio University Hospital, P.O. BOX 100, Kuopio FI-70029, Finland
| | - Nadine Huber
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Eino Solje
- Neuro Center, Neurology Outpatient Clinic, Kuopio University Hospital, P.O. BOX 100, Kuopio FI-70029, Finland; Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tarja Lohioja
- Neuro Center, Neurology Outpatient Clinic, Kuopio University Hospital, P.O. BOX 100, Kuopio FI-70029, Finland
| | - Sanna-Kaisa Herukka
- Neuro Center, Neurology Outpatient Clinic, Kuopio University Hospital, P.O. BOX 100, Kuopio FI-70029, Finland; Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Sakari Simula
- Department of Neurology, Mikkeli Central Hospital, Mikkeli, Finland
| | - Anne M Remes
- Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland; Medical Research Center, Oulu University Hospital, Oulu, Finland
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16
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Tura A, Grespan E, Göbl CS, Koivula RW, Franks PW, Pearson ER, Walker M, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis ET, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Vangipurapu J, Cederberg H, Laakso M, Rutters F, Elders PJM, Koopman ADM, Beulens JW, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Mari A. Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-Hour OGTT: An IMI DIRECT Study. Diabetes 2021; 70:2092-2106. [PMID: 34233929 DOI: 10.2337/db21-0227] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/24/2021] [Indexed: 11/13/2022]
Abstract
Differences in glucose metabolism among categories of prediabetes have not been systematically investigated. In this longitudinal study, participants (N = 2,111) underwent a 2-h 75-g oral glucose tolerance test (OGTT) at baseline and 48 months. HbA1c was also measured. We classified participants as having isolated prediabetes defect (impaired fasting glucose [IFG], impaired glucose tolerance [IGT], or HbA1c indicative of prediabetes [IA1c]), two defects (IFG+IGT, IFG+IA1c, or IGT+IA1c), or all defects (IFG+IGT+IA1c). β-Cell function (BCF) and insulin sensitivity were assessed from OGTT. At baseline, in pooling of participants with isolated defects, they showed impairment in both BCF and insulin sensitivity compared with healthy control subjects. Pooled groups with two or three defects showed progressive further deterioration. Among groups with isolated defect, those with IGT showed lower insulin sensitivity, insulin secretion at reference glucose (ISRr), and insulin secretion potentiation (P < 0.002). Conversely, those with IA1c showed higher insulin sensitivity and ISRr (P < 0.0001). Among groups with two defects, we similarly found differences in both BCF and insulin sensitivity. At 48 months, we found higher type 2 diabetes incidence for progressively increasing number of prediabetes defects (odds ratio >2, P < 0.008). In conclusion, the prediabetes groups showed differences in type/degree of glucometabolic impairment. Compared with the pooled group with isolated defects, those with double or triple defect showed progressive differences in diabetes incidence.
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Affiliation(s)
- Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
| | | | - Christian S Göbl
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria
| | - Robert W Koivula
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Paul W Franks
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Ewan R Pearson
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, U.K
| | - Mark Walker
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, U.K
| | - Ian M Forgie
- Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, U.K
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology, Department of Clinical Science, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations Ges.m.b.H., Vienna, Austria
| | - Hartmut Ruetten
- CardioMetabolism & Respiratory Medicine, Boehringer Ingelheim International GmbH, Ingelheim/Rhein, Germany
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Mark I McCarthy
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Oluf Pedersen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Federico De Masi
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Konstantinos D Tsirigos
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, U.K
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Timothy J McDonald
- Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Tarja Kokkola
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jagadish Vangipurapu
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Henna Cederberg
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Femke Rutters
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Petra J M Elders
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Anitra D M Koopman
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Joline W Beulens
- Department of Epidemiology and Data Science, Amsterdam Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Martin Ridderstråle
- Department of Clinical Sciences, Diabetes & Endocrinology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Tue H Hansen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Kristine H Allin
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Section of Metabolic Genetics, Novo Nordisk Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Bornholms Hospital, Rønne, Denmark
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17
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Bizzotto R, Jennison C, Jones AG, Kurbasic A, Tura A, Kennedy G, Bell JD, Thomas EL, Frost G, Eriksen R, Koivula RW, Brage S, Kaye J, Hattersley AT, Heggie A, McEvoy D, 't Hart LM, Beulens JW, Elders P, Musholt PB, Ridderstråle M, Hansen TH, Allin KH, Hansen T, Vestergaard H, Lundgaard AT, Thomsen HS, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Forgie IM, Giordano GN, Pavo I, Ruetten H, Dermitzakis E, McCarthy MI, Pedersen O, Schwenk JM, Adamski J, Franks PW, Walker M, Pearson ER, Mari A. Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study. Diabetes Care 2021; 44:511-518. [PMID: 33323478 DOI: 10.2337/dc20-1567] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 10/31/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We investigated the processes underlying glycemic deterioration in type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS A total of 732 recently diagnosed patients with T2D from the Innovative Medicines Initiative Diabetes Research on Patient Stratification (IMI DIRECT) study were extensively phenotyped over 3 years, including measures of insulin sensitivity (OGIS), β-cell glucose sensitivity (GS), and insulin clearance (CLIm) from mixed meal tests, liver enzymes, lipid profiles, and baseline regional fat from MRI. The associations between the longitudinal metabolic patterns and HbA1c deterioration, adjusted for changes in BMI and in diabetes medications, were assessed via stepwise multivariable linear and logistic regression. RESULTS Faster HbA1c progression was independently associated with faster deterioration of OGIS and GS and increasing CLIm; visceral or liver fat, HDL-cholesterol, and triglycerides had further independent, though weaker, roles (R 2 = 0.38). A subgroup of patients with a markedly higher progression rate (fast progressors) was clearly distinguishable considering these variables only (discrimination capacity from area under the receiver operating characteristic = 0.94). The proportion of fast progressors was reduced from 56% to 8-10% in subgroups in which only one trait among OGIS, GS, and CLIm was relatively stable (odds ratios 0.07-0.09). T2D polygenic risk score and baseline pancreatic fat, glucagon-like peptide 1, glucagon, diet, and physical activity did not show an independent role. CONCLUSIONS Deteriorating insulin sensitivity and β-cell function, increasing insulin clearance, high visceral or liver fat, and worsening of the lipid profile are the crucial factors mediating glycemic deterioration of patients with T2D in the initial phase of the disease. Stabilization of a single trait among insulin sensitivity, β-cell function, and insulin clearance may be relevant to prevent progression.
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Affiliation(s)
| | | | - Angus G Jones
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Azra Kurbasic
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
| | - Gwen Kennedy
- Immunoassay Biomarker Core Laboratory, School of Medicine, Ninewells Hospital, Dundee, U.K
| | - Jimmy D Bell
- School of Life Sciences, Research Centre for Optimal Health, University of Westminster, London, U.K
| | - E Louise Thomas
- School of Life Sciences, Research Centre for Optimal Health, University of Westminster, London, U.K
| | - Gary Frost
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, U.K
| | - Rebeca Eriksen
- Section for Nutrition Research, Faculty of Medicine, Hammersmith Campus, Imperial College London, London, U.K
| | - Robert W Koivula
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden.,Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Jane Kaye
- Faculty of Law, Centre for Health, Law and Emerging Technologies, University of Oxford, Oxford, U.K.,Melbourne Law School, Centre for Health, Law and Emerging Technologies, University of Melbourne, Carlton, Victoria, Australia
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Alison Heggie
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, U.K
| | - Donna McEvoy
- Diabetes Research Network, Royal Victoria Infirmary, Newcastle upon Tyne, U.K
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Biomedical Data Sciences, Molecular Epidemiology Section, Leiden University Medical Center, Leiden, the Netherlands
| | - Joline W Beulens
- Department of Epidemiology and Data Science, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Petra Elders
- Department of General Practice, Amsterdam UMC-Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Petra B Musholt
- R&D Global Development, Translational Medicine & Clinical Pharmacology, Sanofi Deutschland GmbH, Frankfurt, Germany
| | - Martin Ridderstråle
- Clinical Pharmacology and Translational Medicine, Novo Nordisk A/S, Søborg, Denmark
| | - Tue H Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine H Allin
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Bornholms Hospital, Rønne, Denmark
| | - Agnete T Lundgaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Henrik S Thomsen
- Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Konstantinos D Tsirigos
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.,Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle, U.K
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ian M Forgie
- Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Hartmut Ruetten
- R&D Global Development, Translational Medicine & Clinical Pharmacology, Sanofi Deutschland GmbH, Frankfurt, Germany
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Mark I McCarthy
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K.,Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, U.K
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden
| | - Jerzy Adamski
- Research Unit of Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany.,Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Malmö, Sweden
| | - Mark Walker
- Faculty of Medical Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle, U.K
| | - Ewan R Pearson
- Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
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18
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Koivula RW, Atabaki-Pasdar N, Giordano GN, White T, Adamski J, Bell JD, Beulens J, Brage S, Brunak S, De Masi F, Dermitzakis ET, Forgie IM, Frost G, Hansen T, Hansen TH, Hattersley A, Kokkola T, Kurbasic A, Laakso M, Mari A, McDonald TJ, Pedersen O, Rutters F, Schwenk JM, Teare HJA, Thomas EL, Vinuela A, Mahajan A, McCarthy MI, Ruetten H, Walker M, Pearson E, Pavo I, Franks PW. Correction to: The role of physical activity in metabolic homeostasis before and after the onset of type 2 diabetes: an IMI DIRECT study. Diabetologia 2021; 64:260-261. [PMID: 33184701 PMCID: PMC7852866 DOI: 10.1007/s00125-020-05311-4] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Unfortunately, 'Present address' was omitted from one of the addresses provided for Mark I. McCarthy (#26).
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Affiliation(s)
- Robert W Koivula
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
| | - Naeimeh Atabaki-Pasdar
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Giuseppe N Giordano
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Tom White
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and Metabolism, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Jimmy D Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminister, London, UK
| | - Joline Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, the Netherlands
| | - Søren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Søren Brunak
- The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Federico De Masi
- The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Ian M Forgie
- Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK
| | - Gary Frost
- Nutrition and Dietetics Research Group, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, Hammersmith Campus, London, UK
| | - Torben Hansen
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Azra Kurbasic
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Andrea Mari
- Institute of Neurosciences, National Research Council, Padova, Italy
| | - Timothy J McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, the Netherlands
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Harriet J A Teare
- HeLEX, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminister, London, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK
- Human Genetics, Genentech, South San Francisco, CA, USA
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK
| | - Ewan Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University Hospital, Umeå, Sweden
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19
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Kårlund A, Kääriäinen T, Kostamo VM, Kokkola T, Kolehmainen M, Lakka TA, Pihlajamäki J, Manninen A. Oxygen-18 and Carbon-13 isotopes in eCO 2and erythrocytes carbonic anhydrase activity of Finnish prediabetic population. J Breath Res 2020; 15. [PMID: 33302264 DOI: 10.1088/1752-7163/abd28d] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/10/2020] [Indexed: 12/15/2022]
Abstract
Complex human physiological processes create the stable isotopic composition of exhaled carbon dioxide (eCO2), measurable with noninvasive breath tests. Recently, isotope-selective breath tests utilizing natural fluctuation in 18O/16O isotope ratio in eCO2 have been proposed for screening prediabetic (PD) individuals. It has been suggested that 18O/16O fractionation patterns reflect shifts in the activity of carbonic anhydrase (CA), an enzyme involved in the metabolic changes in the PD state. To evaluate the applicability of the breath sampling method in Finnish PD individuals, breath delta values (BDVs, ‰) of 18O/16O (δ18O) were monitored for 120 min in real-time with a high-precision optical isotope ratio spectrometer, both in the fasting state and during a 2-hour oral glucose tolerance test (2h OGTT) with non-labelled glucose. In addition, the BDV of 13C/12C (δ13C) was measured, and total erythrocyte CA activity was determined. δ18O and CA did not demonstrate any statistically significant differences between PD and non-diabetic control (NDC) participants. Instead, δ13C was significantly lower in PD patients in comparison to NDCs in the fasting state and at time points 90 and 120 min of the 2h OGTT, thus indicating slightly better potential in identifying Finnish PD individuals. However, overlapping values were measured in PD participants and NDCs, and therefore, δ13C cannot be applied as a sole measure in screening prediabetes at an individual level. Thus, because the combination of environmental and lifestyle factors and anthropometric parameters has a greater effect on glucose metabolism and CA activity in comparison to the PD state, 18O/16O and 13C/12C fractionations or CA activity did not prove to be reliable biomarkers for impaired glucose tolerance in Finnish subjects. This study was conducted under the clinicaltrials.gov ID NCT03156478.
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Affiliation(s)
- Anna Kårlund
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland Faculty of Health Sciences, Kuopio, FINLAND
| | | | - Vili M Kostamo
- Faculty of Medicine, University of Helsinki, Helsinki, Uusimaa, FINLAND
| | - Tarja Kokkola
- School of Medicine, University of Eastern Finland, Kuopio, 70210, FINLAND
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland Faculty of Health Sciences, Kuopio, FINLAND
| | - Timo A Lakka
- Institute of Biomedicine, University of Eastern Finland Faculty of Health Sciences, Kuopio, FINLAND
| | - Jussi Pihlajamäki
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland Faculty of Health Sciences, Kuopio, FINLAND
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20
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Obura M, Beulens JWJ, Slieker R, Koopman ADM, Hoekstra T, Nijpels G, Elders P, Koivula RW, Kurbasic A, Laakso M, Hansen TH, Ridderstråle M, Hansen T, Pavo I, Forgie I, Jablonka B, Ruetten H, Mari A, McCarthy MI, Walker M, Heggie A, McDonald TJ, Perry MH, De Masi F, Brunak S, Mahajan A, Giordano GN, Kokkola T, Dermitzakis E, Viñuela A, Pedersen O, Schwenk JM, Adamski J, Teare HJA, Pearson ER, Franks PW, ‘t Hart LM, Rutters F. Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study. PLoS One 2020; 15:e0242360. [PMID: 33253307 PMCID: PMC7703960 DOI: 10.1371/journal.pone.0242360] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 10/31/2020] [Indexed: 11/19/2022] Open
Abstract
Aim Subclasses of different glycaemic disturbances could explain the variation in characteristics of individuals with type 2 diabetes (T2D). We aimed to examine the association between subgroups based on their glucose curves during a five-point mixed-meal tolerance test (MMT) and metabolic traits at baseline and glycaemic deterioration in individuals with T2D. Methods The study included 787 individuals with newly diagnosed T2D from the Diabetes Research on Patient Stratification (IMI-DIRECT) Study. Latent class trajectory analysis (LCTA) was used to identify distinct glucose curve subgroups during a five-point MMT. Using general linear models, these subgroups were associated with metabolic traits at baseline and after 18 months of follow up, adjusted for potential confounders. Results At baseline, we identified three glucose curve subgroups, labelled in order of increasing glucose peak levels as subgroup 1–3. Individuals in subgroup 2 and 3 were more likely to have higher levels of HbA1c, triglycerides and BMI at baseline, compared to those in subgroup 1. At 18 months (n = 651), the beta coefficients (95% CI) for change in HbA1c (mmol/mol) increased across subgroups with 0.37 (-0.18–1.92) for subgroup 2 and 1.88 (-0.08–3.85) for subgroup 3, relative to subgroup 1. The same trend was observed for change in levels of triglycerides and fasting glucose. Conclusions Different glycaemic profiles with different metabolic traits and different degrees of subsequent glycaemic deterioration can be identified using data from a frequently sampled mixed-meal tolerance test in individuals with T2D. Subgroups with the highest peaks had greater metabolic risk.
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Affiliation(s)
- Morgan Obura
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Joline W. J. Beulens
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- * E-mail:
| | - Roderick Slieker
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anitra D. M. Koopman
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Trynke Hoekstra
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Giel Nijpels
- Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Petra Elders
- Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Robert W. Koivula
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom
| | - Azra Kurbasic
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Tue H. Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Denmark
| | - Martin Ridderstråle
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Ian Forgie
- Division of Cardiovascular & Diabetes Medicine, Medical Research Institute, University of Dundee, Dundee, United Kingdom
| | - Bernd Jablonka
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Andrea Mari
- Institute of Biomedical Engineering, National Research Council, Padova, Italy
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Alison Heggie
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Timothy J. McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School and Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Mandy H. Perry
- Department of Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Federico De Masi
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Søren Brunak
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Giuseppe N. Giordano
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Emmanouil Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M. Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH—Royal Institute of Technology, Solna, Sweden
| | - Jurek Adamski
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Harriet J. A. Teare
- HeLEX, Nuffield Department of Population Health, University of Oxford, Headington, Oxford, United Kingdom
| | - Ewan R. Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Paul W. Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom
- Department of Nutrition, Harvard School of Public Health, Boston, MA, United States of America
| | - Leen M. ‘t Hart
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Biomedical Data Sciences, Molecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands
| | - Femke Rutters
- Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands
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Eriksen R, Perez IG, Posma JM, Haid M, Sharma S, Prehn C, Thomas LE, Koivula RW, Bizzotto R, Prehn C, Mari A, Giordano GN, Pavo I, Schwenk JM, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Rutter F, Teare H, Hansen TH, Fernandez J, Jones A, Jennison C, Walker M, McCarthy MI, Pedersen O, Ruetten H, Forgie I, Bell JD, Pearson ER, Franks PW, Adamski J, Holmes E, Frost G. Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study. EBioMedicine 2020; 58:102932. [PMID: 32763829 PMCID: PMC7406914 DOI: 10.1016/j.ebiom.2020.102932] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/18/2020] [Accepted: 07/15/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Dietary advice remains the cornerstone of prevention and management of type 2 diabetes (T2D). However, understanding the efficacy of dietary interventions is confounded by the challenges inherent in assessing free living diet. Here we profiled dietary metabolites to investigate glycaemic deterioration and cardiometabolic risk in people at risk of or living with T2D. METHODS We analysed data from plasma collected at baseline and 18-month follow-up in individuals from the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohort 1 n = 403 individuals with normal or impaired glucose regulation (prediabetic) and cohort 2 n = 458 individuals with new onset of T2D. A dietary metabolite profile model (Tpred) was constructed using multivariable regression of 113 plasma metabolites obtained from targeted metabolomics assays. The continuous Tpred score was used to explore the relationships between diet, glycaemic deterioration and cardio-metabolic risk via multiple linear regression models. FINDINGS A higher Tpred score was associated with healthier diets high in wholegrain (β=3.36 g, 95% CI 0.31, 6.40 and β=2.82 g, 95% CI 0.06, 5.57) and lower energy intake (β=-75.53 kcal, 95% CI -144.71, -2.35 and β=-122.51 kcal, 95% CI -186.56, -38.46), and saturated fat (β=-0.92 g, 95% CI -1.56, -0.28 and β=-0.98 g, 95% CI -1.53, -0.42 g), respectively for cohort 1 and 2. In both cohorts a higher Tpred score was also associated with lower total body adiposity and favourable lipid profiles HDL-cholesterol (β=0.07 mmol/L, 95% CI 0.03, 0.1), (β=0.08 mmol/L, 95% CI 0.04, 0.1), and triglycerides (β=-0.1 mmol/L, 95% CI -0.2, -0.03), (β=-0.2 mmol/L, 95% CI -0.3, -0.09), respectively for cohort 1 and 2. In cohort 2, the Tpred score was negatively associated with liver fat (β=-0.74%, 95% CI -0.67, -0.81), and lower fasting concentrations of HbA1c (β=-0.9 mmol/mol, 95% CI -1.5, -0.1), glucose (β=-0.2 mmol/L, 95% CI -0.4, -0.05) and insulin (β=-11.0 pmol/mol, 95% CI -19.5, -2.6). Longitudinal analysis showed at 18-month follow up a higher Tpred score was also associated lower total body adiposity in both cohorts and lower fasting glucose (β=-0.2 mmol/L, 95% CI -0.3, -0.01) and insulin (β=-9.2 pmol/mol, 95% CI -17.9, -0.4) concentrations in cohort 2. INTERPRETATION Plasma dietary metabolite profiling provides objective measures of diet intake, showing a relationship to glycaemic deterioration and cardiometabolic health. FUNDING This work was supported by the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115,317 (DIRECT), resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies.
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Affiliation(s)
- Rebeca Eriksen
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom.
| | - Isabel Garcia Perez
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London, United Kingdom; Health Data Research UK, London, United Kingdom
| | - Mark Haid
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
| | - Sapna Sharma
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
| | - Louise E Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Robert W Koivula
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Radcliffe Department of Medicine, Oxford, United Kingdom
| | - Roberto Bizzotto
- Institute of Neuroscience - National Research Council, Padova, Italy
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany
| | - Andrea Mari
- Institute of Neuroscience - National Research Council, Padova, Italy
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Federico De Masi
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Konstantinos D Tsirigos
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Timothy J McDonald
- Medical School, Exeter, UK NIHR Exeter Clinical Research Facility, University of Exeter
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Femke Rutter
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam UMC, locationVUMC, Amsterdam, Netherlands
| | - Harriet Teare
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Juan Fernandez
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Angus Jones
- Medical School, Exeter, UK NIHR Exeter Clinical Research Facility, University of Exeter
| | - Chris Jennison
- Department of Mathematical Sciences, University of Bath, Bath, United Kingdom
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Radcliffe Department of Medicine, Oxford, United Kingdom; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Ian Forgie
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology And Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environemental Health (GmbH), Neuherberg, Germany; Lehrstuhl für Experimentelle Genetik, Technische Universität München, 85350 Freising-Weihenstephan, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
| | - Elaine Holmes
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom
| | - Gary Frost
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom; NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom.
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Koivula RW, Atabaki-Pasdar N, Giordano GN, White T, Adamski J, Bell JD, Beulens J, Brage S, Brunak S, De Masi F, Dermitzakis ET, Forgie IM, Frost G, Hansen T, Hansen TH, Hattersley A, Kokkola T, Kurbasic A, Laakso M, Mari A, McDonald TJ, Pedersen O, Rutters F, Schwenk JM, Teare HJA, Thomas EL, Vinuela A, Mahajan A, McCarthy MI, Ruetten H, Walker M, Pearson E, Pavo I, Franks PW. The role of physical activity in metabolic homeostasis before and after the onset of type 2 diabetes: an IMI DIRECT study. Diabetologia 2020; 63:744-756. [PMID: 32002573 PMCID: PMC7054368 DOI: 10.1007/s00125-019-05083-6] [Citation(s) in RCA: 4] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/29/2019] [Indexed: 11/17/2022]
Abstract
AIMS/HYPOTHESIS It is well established that physical activity, abdominal ectopic fat and glycaemic regulation are related but the underlying structure of these relationships is unclear. The previously proposed twin-cycle hypothesis (TC) provides a mechanistic basis for impairment in glycaemic control through the interactions of substrate availability, substrate metabolism and abdominal ectopic fat accumulation. Here, we hypothesise that the effect of physical activity in glucose regulation is mediated by the twin-cycle. We aimed to examine this notion in the Innovative Medicines Initiative Diabetes Research on Patient Stratification (IMI DIRECT) Consortium cohorts comprised of participants with normal or impaired glucose regulation (cohort 1: N ≤ 920) or with recently diagnosed type 2 diabetes (cohort 2: N ≤ 435). METHODS We defined a structural equation model that describes the TC and fitted this within the IMI DIRECT dataset. A second model, twin-cycle plus physical activity (TC-PA), to assess the extent to which the effects of physical activity in glycaemic regulation are mediated by components in the twin-cycle, was also fitted. Beta cell function, insulin sensitivity and glycaemic control were modelled from frequently sampled 75 g OGTTs (fsOGTTs) and mixed-meal tolerance tests (MMTTs) in participants without and with diabetes, respectively. Abdominal fat distribution was assessed using MRI, and physical activity through wrist-worn triaxial accelerometry. Results are presented as standardised beta coefficients, SE and p values, respectively. RESULTS The TC and TC-PA models showed better fit than null models (TC: χ2 = 242, p = 0.004 and χ2 = 63, p = 0.001 in cohort 1 and 2, respectively; TC-PA: χ2 = 180, p = 0.041 and χ2 = 60, p = 0.008 in cohort 1 and 2, respectively). The association of physical activity with glycaemic control was primarily mediated by variables in the liver fat cycle. CONCLUSIONS/INTERPRETATION These analyses partially support the mechanisms proposed in the twin-cycle model and highlight mechanistic pathways through which insulin sensitivity and liver fat mediate the association between physical activity and glycaemic control.
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Affiliation(s)
- Robert W Koivula
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
| | - Naeimeh Atabaki-Pasdar
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Giuseppe N Giordano
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Tom White
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and Metabolism, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Jimmy D Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminister, London, UK
| | - Joline Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, location VU University Medical Center, Amsterdam, the Netherlands
| | - Søren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Søren Brunak
- The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Federico De Masi
- The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Ian M Forgie
- Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK
| | - Gary Frost
- Nutrition and Dietetics Research Group, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, Hammersmith Campus, London, UK
| | - Torben Hansen
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Azra Kurbasic
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Andrea Mari
- Institute of Neurosciences, National Research Council, Padova, Italy
| | - Timothy J McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, location VU University Medical Center, Amsterdam, the Netherlands
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Harriet J A Teare
- HeLEX, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminister, London, UK
| | - Ana Vinuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK
- Human Genetics, Genentech, South San Francisco, CA, USA
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK
| | - Ewan Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, UK
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 12, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University Hospital, Umeå, Sweden
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Tenhunen J, Kokkola T, Huovinen M, Rahnasto-Rilla M, Lahtela-Kakkonen M. Impact of structurally diverse BET inhibitors on SIRT1. Gene 2020; 741:144558. [PMID: 32165310 DOI: 10.1016/j.gene.2020.144558] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 12/13/2019] [Accepted: 03/08/2020] [Indexed: 12/15/2022]
Abstract
The epigenetic regulation of gene expression is controlled by various processes, of which one is histone acetylation. Many proteins control gene expression via histone acetylation. Those proteins include sirtuins (SIRTs) and bromodomain and extraterminal proteins (BETs), which are known to regulate same cellular processes and pathways. The aim of this study was to explore BET inhibitors' effects on SIRT1. Previously we showed that BET inhibitor (+)-JQ1 increases SIRT1 levels, but in the current study we used also other, structurally diverse BET inhibitors, I-BET151 and Pfi-1, and examined their effects on SIRT1 levels in two breast cancer cell lines. The results differed between the inhibitors and also between the cell lines. (+)-JQ1 had opposite effects on SIRT1 levels in the two cell lines, I-BET151 increased the levels in both cell lines, and Pfi-1 had no effect. In conclusion, the effect of structurally diverse BET inhibitors on SIRT1 levels is divergent, and the responses might also be cell type-dependent. These findings are important for all SIRT1 and BET inhibitor-related research, and they show that different BET inhibitors might have important individual effects.
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Affiliation(s)
- Jonna Tenhunen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland
| | - Marjo Huovinen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland
| | - Minna Rahnasto-Rilla
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland
| | - Maija Lahtela-Kakkonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211 Kuopio, Finland.
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Seifert T, Malo M, Kokkola T, Stéen EJL, Meinander K, Wallén EAA, Jarho EM, Luthman K. A scaffold replacement approach towards new sirtuin 2 inhibitors. Bioorg Med Chem 2020; 28:115231. [PMID: 31848116 DOI: 10.1016/j.bmc.2019.115231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 10/15/2019] [Revised: 11/20/2019] [Accepted: 11/20/2019] [Indexed: 10/25/2022]
Abstract
Sirtuins (SIRT1-SIRT7) are an evolutionary conserved family of NAD+-dependent protein deacylases regulating the acylation state of ε-N-lysine residues of proteins thereby controlling key biological processes. Numerous studies have found association of the aberrant enzymatic activity of SIRTs with various diseases like diabetes, cancer and neurodegenerative disorders. Previously, we have shown that substituted 2-alkyl-chroman-4-one/chromone derivatives can serve as selective inhibitors of SIRT2 possessing an antiproliferative effect in two human cancer cell lines. In this study, we have explored the bioisosteric replacement of the chroman-4-one/chromone core structure with different less lipophilic bicyclic scaffolds to overcome problems associated to poor physiochemical properties due to a highly lipophilic substitution pattern required for achieve a good inhibitory effect. Various new derivatives based on the quinolin-4(1H)-one scaffold, bicyclic secondary sulfonamides or saccharins were synthesized and evaluated for their SIRT inhibitory effect. Among the evaluated scaffolds, the benzothiadiazine-1,1-dioxide-based compounds showed the highest SIRT2 inhibitory activity. Molecular modeling studies gave insight into the binding mode of the new scaffold-replacement analogues.
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Affiliation(s)
- Tina Seifert
- Department of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, SE-412 96 Göteborg, Sweden.
| | - Marcus Malo
- Department of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, SE-412 96 Göteborg, Sweden
| | - Tarja Kokkola
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - E Johanna L Stéen
- Department of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, SE-412 96 Göteborg, Sweden
| | - Kristian Meinander
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FI- 00014 Helsinki, Finland
| | - Erik A A Wallén
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FI- 00014 Helsinki, Finland
| | - Elina M Jarho
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - Kristina Luthman
- Department of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, SE-412 96 Göteborg, Sweden
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Koivula RW, Forgie IM, Kurbasic A, Viñuela A, Heggie A, Giordano GN, Hansen TH, Hudson M, Koopman ADM, Rutters F, Siloaho M, Allin KH, Brage S, Brorsson CA, Dawed AY, De Masi F, Groves CJ, Kokkola T, Mahajan A, Perry MH, Rauh SP, Ridderstråle M, Teare HJA, Thomas EL, Tura A, Vestergaard H, White T, Adamski J, Bell JD, Beulens JW, Brunak S, Dermitzakis ET, Froguel P, Frost G, Gupta R, Hansen T, Hattersley A, Jablonka B, Kaye J, Laakso M, McDonald TJ, Pedersen O, Schwenk JM, Pavo I, Mari A, McCarthy MI, Ruetten H, Walker M, Pearson E, Franks PW. Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium. Diabetologia 2019; 62:1601-1615. [PMID: 31203377 PMCID: PMC6677872 DOI: 10.1007/s00125-019-4906-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 07/13/2018] [Accepted: 04/10/2019] [Indexed: 12/12/2022]
Abstract
AIMS/HYPOTHESIS Here, we describe the characteristics of the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) epidemiological cohorts at baseline and follow-up examinations (18, 36 and 48 months of follow-up). METHODS From a sampling frame of 24,682 adults of European ancestry enrolled in population-based cohorts across Europe, participants at varying risk of glycaemic deterioration were identified using a risk prediction algorithm (based on age, BMI, waist circumference, use of antihypertensive medication, smoking status and parental history of type 2 diabetes) and enrolled into a prospective cohort study (n = 2127) (cohort 1, prediabetes risk). We also recruited people from clinical registries with type 2 diabetes diagnosed 6-24 months previously (n = 789) into a second cohort study (cohort 2, diabetes). Follow-up examinations took place at ~18 months (both cohorts) and at ~48 months (cohort 1) or ~36 months (cohort 2) after baseline examinations. The cohorts were studied in parallel using matched protocols across seven clinical centres in northern Europe. RESULTS Using ADA 2011 glycaemic categories, 33% (n = 693) of cohort 1 (prediabetes risk) had normal glucose regulation and 67% (n = 1419) had impaired glucose regulation. Seventy-six per cent of participants in cohort 1 was male. Cohort 1 participants had the following characteristics (mean ± SD) at baseline: age 62 (6.2) years; BMI 27.9 (4.0) kg/m2; fasting glucose 5.7 (0.6) mmol/l; 2 h glucose 5.9 (1.6) mmol/l. At the final follow-up examination the participants' clinical characteristics were as follows: fasting glucose 6.0 (0.6) mmol/l; 2 h OGTT glucose 6.5 (2.0) mmol/l. In cohort 2 (diabetes), 66% (n = 517) were treated by lifestyle modification and 34% (n = 272) were treated with metformin plus lifestyle modification at enrolment. Fifty-eight per cent of participants in cohort 2 was male. Cohort 2 participants had the following characteristics at baseline: age 62 (8.1) years; BMI 30.5 (5.0) kg/m2; fasting glucose 7.2 (1.4) mmol/l; 2 h glucose 8.6 (2.8) mmol/l. At the final follow-up examination, the participants' clinical characteristics were as follows: fasting glucose 7.9 (2.0) mmol/l; 2 h mixed-meal tolerance test glucose 9.9 (3.4) mmol/l. CONCLUSIONS/INTERPRETATION The IMI DIRECT cohorts are intensely characterised, with a wide-variety of metabolically relevant measures assessed prospectively. We anticipate that the cohorts, made available through managed access, will provide a powerful resource for biomarker discovery, multivariate aetiological analyses and reclassification of patients for the prevention and treatment of type 2 diabetes.
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Affiliation(s)
- Robert W Koivula
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Ian M Forgie
- Population Health & Genomics, Medical Research Institute, University of Dundee, Dundee, DD1 9SY, UK
| | - Azra Kurbasic
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Ana Viñuela
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Alison Heggie
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK
| | - Giuseppe N Giordano
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Michelle Hudson
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Anitra D M Koopman
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Maritta Siloaho
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kristine H Allin
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark
| | - Søren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Caroline A Brorsson
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Adem Y Dawed
- Population Health & Genomics, Medical Research Institute, University of Dundee, Dundee, DD1 9SY, UK
| | - Federico De Masi
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Christopher J Groves
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mandy H Perry
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Simone P Rauh
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Martin Ridderstråle
- Department of Clinical Sciences, Clinical Obesity, Skåne University Hospital Malmö, Lund University, Malmö, Sweden
- Novo Nordisk A/S, Søborg, Denmark
| | - Harriet J A Teare
- HeLEX, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Andrea Tura
- Institute of Neurosciences, National Research Council, Padova, Italy
| | - Henrik Vestergaard
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Tom White
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jerzy Adamski
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Jimmy D Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Joline W Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Søren Brunak
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
- The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Philippe Froguel
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK
- CNRS, Pasteur Institute of Lille, University of Lille, Lille, France
| | - Gary Frost
- Nutrition and Dietetics Research Group, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, Hammersmith Campus, London, UK
| | - Ramneek Gupta
- Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Andrew Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Bernd Jablonka
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Jane Kaye
- HeLEX, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, UK
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Timothy J McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | - Andrea Mari
- Institute of Neurosciences, National Research Council, Padova, Italy
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK
| | - Ewan Pearson
- Population Health & Genomics, Medical Research Institute, University of Dundee, Dundee, DD1 9SY, UK.
| | - Paul W Franks
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA.
- Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University, Umeå, Sweden.
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Abstract
GR24 is a synthetic strigolactone analog, demonstrated to regulate the development of plants and arbuscular mycorrhizal fungi. GR24 possesses anti-cancer and anti-apoptotic properties, enhances insulin sensitivity and mitochondrial biogenesis in skeletal myotubes, inhibits adipogenesis, decreases inflammation in adipocytes and macrophages and downregulates the expression of hepatic gluconeogenic enzymes. Transcription factor Nrf2 (Nuclear factor (erythroid-derived 2)-like 2) is a master regulator of antioxidant response, regulating a multitude of genes involved in cellular stress responses and anti-inflammatory pathways, thus maintaining cellular redox homeostasis. Nrf2 activation reduces the deleterious effects of mitochondrial toxins and has multiple roles in promoting mitochondrial function and dynamics. We studied the role of GR24 on gene expression in rat L6 skeletal muscle cells which were differentiated into myotubes. The myotubes were treated with GR24 and analyzed by microarray gene expression profiling. GR24 upregulated the cytoprotective transcription factor Nrf2 and its target genes, activating antioxidant defences, suggesting that GR24 may protect skeletal muscle from the toxic effects of oxidative stress.
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Affiliation(s)
- Shalem Raju Modi
- Department of Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, 70210, Finland
| | - Tarja Kokkola
- Department of Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, 70210, Finland
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Lappalainen J, Oksala NKJ, Laaksonen DE, Khanna S, Kokkola T, Kaarniranta K, Sen CK, Atalay M. Suppressed heat shock protein response in the kidney of exercise-trained diabetic rats. Scand J Med Sci Sports 2018; 28:1808-1817. [PMID: 29474750 PMCID: PMC11017969 DOI: 10.1111/sms.13079] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2018] [Indexed: 01/23/2023]
Abstract
Impaired expression of heat shock proteins (HSPs) and increased oxidative stress may contribute to the pathophysiology of diabetes by disrupted tissue protection. Acute exercise induces oxidative stress, whereas exercise training up-regulates endogenous antioxidant defenses and HSP expression. Although diabetic nephropathy is a major contributor to diabetic morbidity, information regarding the effect of HSPs on kidney protection is limited. This study evaluated the effects of eight-week exercise training on kidney HSP expression and markers of oxidative stress at rest and after acute exercise in rats with or without streptozotocin-induced diabetes. Induction of diabetes increased DNA-binding activity of heat shock factor-1, but decreased the expression of HSP72, HSP60, and HSP90. The inflammatory markers IL-6 and TNF-alpha were increased in the kidney tissue of diabetic animals. Both exercise training and acute exercise increased HSP72 and HSP90 protein levels only in non-diabetic rats. On the other hand, exercise training appeared to reverse the diabetes-induced histological changes together with decreased expression of TGF-beta as a key inducer of glomerulosclerosis, and decreased levels of IL-6 and TNF-alpha. Notably, HSP72 and TGF-beta were negatively correlated. In conclusion, impaired HSP defense seems to contribute to kidney injury vulnerability in diabetes and exercise training does not up-regulate kidney HSP expression despite the improvements in histopathological and inflammatory markers.
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Affiliation(s)
- J Lappalainen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland
| | - N K J Oksala
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland
- Faculty of Medicine and Life Sciences, Division of Vascular Surgery, University of Tampere, Tampere University Hospital, Tampere, Finland
| | - D E Laaksonen
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland
- Department of Internal Medicine, Kuopio University Hospital, Kuopio, Finland
| | - S Khanna
- Department of Surgery, Davis Heart & Lung Research Institute, The Ohio State University Medical Center, Columbus, OH, USA
| | - T Kokkola
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Kaarniranta
- Department of Ophthalmology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - C K Sen
- Department of Surgery, Davis Heart & Lung Research Institute, The Ohio State University Medical Center, Columbus, OH, USA
| | - M Atalay
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland
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Kärkkäinen J, Gynther M, Kokkola T, Petsalo A, Auriola S, Lahtela-Kakkonen M, Laine K, Rautio J, Huttunen KM. Structural properties for selective and efficient l-type amino acid transporter 1 (LAT1) mediated cellular uptake. Int J Pharm 2018; 544:91-99. [DOI: 10.1016/j.ijpharm.2018.04.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 04/13/2018] [Accepted: 04/13/2018] [Indexed: 12/24/2022]
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Modi S, Yaluri N, Kokkola T. Strigolactone GR24 and pinosylvin attenuate adipogenesis and inflammation of white adipocytes. Biochem Biophys Res Commun 2018; 499:164-169. [PMID: 29550483 DOI: 10.1016/j.bbrc.2018.03.095] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 03/13/2018] [Indexed: 01/07/2023]
Abstract
Obesity is characterized by excess fat accumulation in white adipose tissue, which triggers chronic low-grade inflammation through secretion of pro-inflammatory factors by the enlarged adipocytes and infiltrated macrophages. This affects glucose and lipid metabolism in adipose tissue, inducing type 2 diabetes. NAD+-dependent deacetylase SIRT1 is known to inhibit adipogenesis through the regulation of the key adipogenic transcription factors, PPARγ and C/EBPα. SIRT1 activators such as resveratrol inhibit adipogenesis and exert anti-inflammatory responses in the adipose tissue. We aimed to investigate the role of two SIRT1 activating plant-derived compounds, strigolactone analog GR24 and pinosylvin, in adipogenesis and inflammation of murine adipocytes. 3T3-L1 preadipocytes were differentiated into adipocytes and were treated with GR24 and pinosylvin. Resveratrol was used as a reference treatment. The effects of these compounds on adipogenesis and inflammation were explored by different methods such as cytotoxicity assays, lipid staining, western blotting and ELISA. GR24 upregulated SIRT1 and enhanced the production of NAD+, an essential SIRT1 substrate. GR24, pinosylvin and resveratrol attenuated adipogenesis via inhibiting the expression of PPARγ and C/EBPα and protected against inflammation by inhibiting TNF-α-stimulated IL-6 secretion. GR24 also inhibited NF-κB activation. Our results demonstrate for the first time the beneficial effects of strigolactone GR24 and pinosylvin on adipogenesis and inflammation in adipocytes.
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Affiliation(s)
- Shalem Modi
- Institute of Clinical Medicine, Internal Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Nagendra Yaluri
- Institute of Clinical Medicine, Internal Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine, Internal Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
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Modi S, Yaluri N, Kokkola T, Laakso M. Plant-derived compounds strigolactone GR24 and pinosylvin activate SIRT1 and enhance glucose uptake in rat skeletal muscle cells. Sci Rep 2017; 7:17606. [PMID: 29242624 PMCID: PMC5730588 DOI: 10.1038/s41598-017-17840-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 11/22/2017] [Indexed: 12/16/2022] Open
Abstract
Insulin resistance is a characteristic finding in hyperglycaemia and type 2 diabetes. SIRT1 is a NAD+ dependent deacetylase that plays a central role in glucose homeostasis and energy metabolism. SIRT1 activators, including plant polyphenols such as resveratrol, improve insulin sensitivity in skeletal muscle tissue. We hypothesised that the novel plant-derived compounds, strigolactone and pinosylvin, beneficially enhance SIRT1 function, insulin signalling, glucose uptake, and mitochondrial biogenesis in skeletal muscle cells. Rat L6 skeletal muscle myotubes were treated with strigolactone analogue GR24 and pinosylvin. Resveratrol was included in experiments as a reference compound. We measured the effects of these compounds on SIRT1 function, insulin signalling, glucose uptake, mitochondrial biogenesis and gene expression profiles. Strigolactone GR24 upregulated and activated SIRT1 without activating AMPK, enhanced insulin signalling, glucose uptake, GLUT4 translocation and mitochondrial biogenesis. Pinosylvin activated SIRT1 in vitro and stimulated glucose uptake through the activation of AMPK. The regulation of SIRT1 by strigolactone GR24 and the activation of AMPK by pinosylvin may offer novel therapeutic approaches in the treatment of insulin resistance in skeletal muscle.
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Affiliation(s)
- Shalem Modi
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210, Kuopio, Finland
| | - Nagendra Yaluri
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210, Kuopio, Finland
| | - Tarja Kokkola
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70210, Kuopio, Finland. .,Department of Medicine, Kuopio University Hospital, 70210, Kuopio, Finland.
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31
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Yaluri N, Modi S, Kokkola T. Simvastatin induces insulin resistance in L6 skeletal muscle myotubes by suppressing insulin signaling, GLUT4 expression and GSK-3β phosphorylation. Biochem Biophys Res Commun 2016; 480:194-200. [DOI: 10.1016/j.bbrc.2016.10.026] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 10/11/2016] [Indexed: 11/15/2022]
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Abstract
Sirtuin 6 (SIRT6) is an NAD+-dependent histone deacetylase enzyme that is involved in multiple molecular pathways related to aging. Initially, it was reported that SIRT6 selectively deacetylated H3K9Ac and H3K56Ac; however, it has more recently been shown to preferentially hydrolyze long-chain fatty acyl groups over acetyl groups in vitro. Subsequently, fatty acids were demonstrated to increase the catalytic activity of SIRT6. In this study, we investigated whether a series of N-acylethanolamines (NAEs), quercetin, and luteolin could regulate SIRT6 activity. NAEs increased SIRT6 activity, with oleoylethanolamide having the strongest activity (EC50 value of 3.1 μm). Quercetin and luteolin were demonstrated to have dual functionality with respect to SIRT6 activity; namely, they inhibited SIRT6 activity with IC50 values of 24 and 2 μm, respectively, and stimulated SIRT6 activity more than sixfold (EC50 values of 990 and 270 μm, respectively).
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Affiliation(s)
- Minna Rahnasto-Rilla
- Bioanalytical Chemistry and Drug Screening Centre, Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Suite 100, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD, 21224-6825, USA
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70210, Finland
| | - Tarja Kokkola
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70210, Finland
| | - Elina Jarho
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70210, Finland
| | - Maija Lahtela-Kakkonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70210, Finland
| | - Ruin Moaddel
- Bioanalytical Chemistry and Drug Screening Centre, Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Suite 100, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD, 21224-6825, USA.
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Yrjölä S, Parkkari T, Navia-Paldanius D, Laitinen T, Kaczor AA, Kokkola T, Adusei-Mensah F, Savinainen JR, Laitinen JT, Poso A, Alexander A, Penman J, Stott L, Anskat M, Irving AJ, Nevalainen TJ. Potent and selective N-(4-sulfamoylphenyl)thiourea-based GPR55 agonists. Eur J Med Chem 2015; 107:119-32. [PMID: 26575458 DOI: 10.1016/j.ejmech.2015.10.050] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [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: 04/22/2015] [Revised: 10/15/2015] [Accepted: 10/28/2015] [Indexed: 12/23/2022]
Abstract
To date, many known G protein-coupled receptor 55 (GPR55) ligands are those identified among the cannabinoids. In order to further study the function of GPR55, new potent and selective ligands are needed. In this study, we utilized the screening results from PubChem bioassay AID 1961 which reports the results of Image-based HTS for Selective Agonists of GPR55. Three compounds, CID1792579, CID1252842 and CID1011163, were further evaluated and used as a starting point to create a series of nanomolar potency GPR55 agonists with N-(4-sulfamoylphenyl)thiourea scaffold. The GPR55 activity of the compounds were screened by using a commercial β-arrestin PathHunter assay and the potential compounds were further evaluated by using a recombinant HEK cell line exhibiting GPR55-mediated effects on calcium signalling. The designed compounds were not active when tested against various endocannabinoid targets (CB1R, CB2R, FAAH, MGL, ABHD6 and ABHD12), indicating compounds' selectivity for the GPR55. Finally, structure-activity relationships of these compounds were explored.
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Affiliation(s)
- Sari Yrjölä
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland.
| | - Teija Parkkari
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland; Institute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Dina Navia-Paldanius
- Institute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Tuomo Laitinen
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Agnieszka A Kaczor
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland; Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Lab, Faculty of Pharmacy with Division of Medical Analytics, Medical University of Lublin, 4A Chodzki St., PL-20093 Lublin, Poland
| | - Tarja Kokkola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Frank Adusei-Mensah
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Juha R Savinainen
- Institute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Jarmo T Laitinen
- Institute of Biomedicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - Antti Poso
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland; Division of Translational Gastrointestinal Oncology, Dept. of Internal Medicine I, University Hospital Tübingen, Otfried-Mueller-Strasse 10, 72076 Tübingen, Germany
| | - Amy Alexander
- Division of Neuroscience, Medical Research Institute, Ninewells Hospital, University of Dundee, Dundee DD1 9SY, UK
| | - June Penman
- Division of Neuroscience, Medical Research Institute, Ninewells Hospital, University of Dundee, Dundee DD1 9SY, UK
| | - Lisa Stott
- Division of Neuroscience, Medical Research Institute, Ninewells Hospital, University of Dundee, Dundee DD1 9SY, UK
| | - Marie Anskat
- Division of Neuroscience, Medical Research Institute, Ninewells Hospital, University of Dundee, Dundee DD1 9SY, UK
| | - Andrew J Irving
- Division of Neuroscience, Medical Research Institute, Ninewells Hospital, University of Dundee, Dundee DD1 9SY, UK; School of Biomolecular and Biomedical Science, University College Dublin, Belfield, Dublin D4, Ireland
| | - Tapio J Nevalainen
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
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Pesonen M, Storvik M, Kokkola T, Rysä J, Vähäkangas K, Pasanen M. Transcriptomic Analysis of Human Primary Bronchial Epithelial Cells after Chloropicrin Treatment. Chem Res Toxicol 2015; 28:1926-35. [PMID: 26352163 DOI: 10.1021/acs.chemrestox.5b00123] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Chloropicrin is a vaporizing toxic irritant that poses a risk to human health if inhaled, but the mechanism of its toxicity in the respiratory tract is poorly understood. Here, we exposed human primary bronchial epithelial cells (HBEpC) to two concentrations of chloropicrin (10-50 μM) for 6 or 48 h and used genomic microarray, flow cytometry, and TEM-analysis to monitor cellular responses to the exposures. The overall number of differentially expressed transcripts with a fold-change > ± 2 compared to controls increased with longer exposure times. The initial response was activation of genes with a higher number of up- (512 by 10 μM and 408 by 40 μM chloropicrin) rather than down-regulated transcripts (40 by 10 μM and 215 by 40 μM chloropicrin) at 6 h seen with both exposure concentrations. The number of down-regulated transcripts, however, increased with the exposure time. The differentially regulated transcripts were further examined for enriched Gene Ontology Terms (GO) and KEGG-pathways. According to this analysis, the "ribosome" and "oxidative phosphorylation" were the KEGG-pathways predominantly affected by the exposure. The predominantly affected (GO) biological processes were "protein metabolic process" including "translation," "cellular protein complex assembly," and "response to unfolded protein." Furthermore, the top pathways, "NRF2-activated oxidative stress" and "Ah-receptor signaling," were enriched in our data sets by IPA-analysis. Real time qPCR assay of six selected genes agreed with the microarray analysis. In addition, chloropicrin exposure increased the numbers of late S and/or G2/M-phase cells as analyzed by flow cytometry and induced autophagy as revealed by electron microscopy. The targets identified are critical for vital cellular functions reflecting acute toxic responses and are potential causes for the reduced viability of epithelial cells after chloropicrin exposure.
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Affiliation(s)
- Maija Pesonen
- Research and Development, Centre for Military Medicine, Finnish Defence Forces , Tukholmankatu 8A, PL 50, 00301 Helsinki, Finland
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Abstract
Control of histone acetylation is a part of the epigenetic mechanism that regulates gene expression and chromatin architecture. The members of the bromodomain and extra terminal domain (BET) protein family are a group of epigenetic readers that recognize histone acetylation, whereas histone deacetyl- ases such as sirtuin 1 (SIRT1) function as epigenetic erasers. We observed that BET inhibition by the specific inhibitor JQ1 upregulated SIRT1 expression and activated SIRT1. Moreover, we observed that BET inhibition functionally reversed the pro-inflammatory effect of SIRT1 inhibition in a cellular lung disease model. SIRT1 activation is desirable in many age-related, metabolic and inflammatory diseases; our results suggest that BET protein inhibition would be beneficial in treatment of those conditions. Most importantly, our findings demonstrate a novel mechanism of SIRT1 activation by inhibition of the BET proteins.
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Affiliation(s)
- Tarja Kokkola
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland. .,Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland.
| | - Tiina Suuronen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland
| | - Maija Pesonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland
| | | | - Antero Salminen
- Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland
| | - Elina M Jarho
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland
| | - Maija Lahtela-Kakkonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1C, 70211, Kuopio, Finland
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Seifert T, Malo M, Kokkola T, Engen K, Fridén-Saxin M, Wallén EAA, Lahtela-Kakkonen M, Jarho EM, Luthman K. Chroman-4-one- and Chromone-Based Sirtuin 2 Inhibitors with Antiproliferative Properties in Cancer Cells. J Med Chem 2014; 57:9870-88. [DOI: 10.1021/jm500930h] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Tina Seifert
- Department
of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, Kemivagen 10, SE-412
96 Göteborg, Sweden
| | - Marcus Malo
- Department
of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, Kemivagen 10, SE-412
96 Göteborg, Sweden
| | - Tarja Kokkola
- School
of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Karin Engen
- Department
of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, Kemivagen 10, SE-412
96 Göteborg, Sweden
| | - Maria Fridén-Saxin
- Department
of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, Kemivagen 10, SE-412
96 Göteborg, Sweden
| | - Erik A. A. Wallén
- Division
of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, FIN-00014 Helsinki, Finland
| | | | - Elina M. Jarho
- School
of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Kristina Luthman
- Department
of Chemistry and Molecular Biology, Medicinal Chemistry, University of Gothenburg, Kemivagen 10, SE-412
96 Göteborg, Sweden
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Oksala NKJ, Ekmekçi FG, Ozsoy E, Kirankaya S, Kokkola T, Emecen G, Lappalainen J, Kaarniranta K, Atalay M. Natural thermal adaptation increases heat shock protein levels and decreases oxidative stress. Redox Biol 2014; 3:25-8. [PMID: 25462062 PMCID: PMC4225528 DOI: 10.1016/j.redox.2014.10.003] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [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: 09/10/2014] [Revised: 10/20/2014] [Accepted: 10/21/2014] [Indexed: 11/25/2022] Open
Abstract
Heat shock proteins (HSPs), originally identified as heat-inducible gene products, are a family of highly conserved proteins that respond to a wide variety of stress including oxidative stress. Although both acute and chronic oxidative stress have been well demonstrated to induce HSP responses, little evidence is available whether increased HSP levels provide enhanced protection against oxidative stress under elevated yet sublethal temperatures. We studied relationships between oxidative stress and HSPs in a physiological model by using Garra rufa (doctor fish), a fish species naturally acclimatized to different thermal conditions. We compared fish naturally living in a hot spring with relatively high water temperature (34.4±0.6°C) to those living in normal river water temperature (25.4±4.7°C), and found that levels of all the studied HSPs (HSP70, HSP60, HSP90, HSC70 and GRP75) were higher in fish living in elevated water temperature compared with normal river water temperature. In contrast, indicators of oxidative stress, including protein carbonyls and lipid hydroperoxides, were decreased in fish living in the elevated temperature, indicating that HSP levels are inversely associated with oxidative stress. The present results provide evidence that physiologically increased HSP levels provide protection against oxidative stress and enhance cytoprotection.
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Affiliation(s)
- Niku K J Oksala
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland; Department of Surgery, Medical School, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - F Güler Ekmekçi
- Department of Biology, Faculty of Science, University of Hacettepe, Beytepe, Turkey
| | - Ergi Ozsoy
- Department of Biology, Faculty of Science, University of Hacettepe, Beytepe, Turkey
| | - Serife Kirankaya
- Department of Biology, Faculty of Science and Literature, University of Düzce, Düzce, Turkey
| | - Tarja Kokkola
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland; School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Güzin Emecen
- Department of Biology, Faculty of Science, University of Hacettepe, Beytepe, Turkey
| | - Jani Lappalainen
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
| | - Kai Kaarniranta
- Department of Ophthalmology, Institute of Clinical Medicine, University of Eastern Finland, Finland; Department of Ophthalmology, Kuopio University Hospital, Kuopio, Finland
| | - Mustafa Atalay
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland.
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Kokkonen P, Rahnasto-Rilla M, Mellini P, Jarho E, Lahtela-Kakkonen M, Kokkola T. Studying SIRT6 regulation using H3K56 based substrate and small molecules. Eur J Pharm Sci 2014; 63:71-6. [PMID: 25004411 DOI: 10.1016/j.ejps.2014.06.015] [Citation(s) in RCA: 33] [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] [Received: 04/17/2014] [Revised: 06/23/2014] [Accepted: 06/23/2014] [Indexed: 10/25/2022]
Abstract
SIRT6 is a modulator of chromatin structure having an important role in healthy ageing, and there is a crucial need to find specific modulators for it. Therefore, the activity of SIRT6 should be studied using a variety of methods. We examined the capability of SIRT6 to deacetylate a set of five fluorogenic substrates based on p53 and histone H3 sequences. The substrate designed around H3K56 deacetylation site exhibited the best signal-to-background ratio and was chosen for further studies. Nicotinamide is a known inhibitor for sirtuins, and it was found to be less potent inhibitor for SIRT6 than it is for SIRT1. In addition, we studied 15 other small molecule sirtuin modulators using the H3K56 based substrate. EX-527, quercetin and three pseudopeptidic compounds were found to be the most potent SIRT6 inhibitors, exhibiting over 50% deacetylation inhibition. These findings describe the first modulators of SIRT6 activity at the physiologically important H3K56 deacetylation site.
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Affiliation(s)
- Piia Kokkonen
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Minna Rahnasto-Rilla
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
| | - Paolo Mellini
- Istituto Pasteur - Fondazione Cenci Bolognetti, Dipartimento di Chimica e Tecnologie del Farmaco, Università degli Studi di Roma "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.
| | - Elina Jarho
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Maija Lahtela-Kakkonen
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Tarja Kokkola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
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Kokkola T, Suuronen T, Molnár F, Määttä J, Salminen A, Jarho EM, Lahtela-Kakkonen M. AROS has a context-dependent effect on SIRT1. FEBS Lett 2014; 588:1523-8. [PMID: 24681097 DOI: 10.1016/j.febslet.2014.03.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 02/27/2014] [Accepted: 03/10/2014] [Indexed: 11/25/2022]
Abstract
The modulation of protein deacetylase SIRT1 has a vast therapeutic potential in treatment of several aging-associated diseases. Active regulator of SIRT1 (AROS) is a small endogenous protein which was originally reported to activate SIRT1 through a direct interaction in cancer cells. We show that the interaction between the two proteins is weak and does not alter the activity of SIRT1 in non-cancerous human cells. The results of different in vitro SIRT1 activity assays disclosed AROS as an inhibitor of SIRT1. The functional relationship between AROS and SIRT1 proved to be dependent on the biological context and experimental setting.
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Affiliation(s)
- Tarja Kokkola
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
| | - Tiina Suuronen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Ferdinand Molnár
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Juha Määttä
- Institute of Biomedical Technology, University of Tampere, Tampere, Finland
| | - Antero Salminen
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Elina M Jarho
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
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Mellini P, Kokkola T, Suuronen T, Salo HS, Tolvanen L, Mai A, Lahtela-Kakkonen M, Jarho EM. Screen of pseudopeptidic inhibitors of human sirtuins 1-3: two lead compounds with antiproliferative effects in cancer cells. J Med Chem 2013; 56:6681-95. [PMID: 23927550 DOI: 10.1021/jm400438k] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In the past few years sirtuins have gained growing attention for their involvement in many biological processes such as cellular metabolism, apoptosis, aging and inflammation. In this contribution, we report the synthesis of a library of thioacetylated pseudopeptides that were screened against human sirtuins 1-3 to reveal their in vitro inhibition activities. Molecular modeling studies were performed to acquire data about the binding modes of the inhibitors. Three sirtuin inhibitors were subjected to cellular studies, and all of them showed an increase in acetylation of Lys382 of p53 after DNA damage. Furthermore, two of the compounds were able to inhibit both A549 lung carcinoma and MCF-7 breast carcinoma cell growth in micromolar concentration with the ability to arrest cancer cell cycle in the G1 phase.
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Affiliation(s)
- Paolo Mellini
- School of Pharmacy and ∥Department of Neurology, Institute of Clinical Medicine , University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
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Kokkola T, Kruse C, Roy-Pogodzik EM, Pekkinen J, Bauch C, Hönck HH, Hennemann H, Kreienkamp HJ. Somatostatin receptor 5 is palmitoylated by the interacting ZDHHC5 palmitoyltransferase. FEBS Lett 2011; 585:2665-70. [DOI: 10.1016/j.febslet.2011.07.028] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2011] [Revised: 07/07/2011] [Accepted: 07/15/2011] [Indexed: 11/17/2022]
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Atalay M, Bilginoglu A, Kokkola T, Oksala N, Turan B. Treatments with sodium selenate or doxycycline offset diabetes-induced perturbations of thioredoxin-1 levels and antioxidant capacity. Mol Cell Biochem 2011; 351:125-31. [PMID: 21246260 DOI: 10.1007/s11010-011-0719-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2010] [Accepted: 01/05/2011] [Indexed: 12/12/2022]
Abstract
Diabetes is associated with increased oxidative stress and impaired antioxidant defenses. Thioredoxin-1 (TRX-1) is a cytosolic thiol antioxidant and redox-active protein which plays a vital role in the maintenance of reduced intracellular redox state. In this study, the authors examined whether 4-week treatments with sodium selenate and doxycycline--a metalloproteinase-2 inhibitor which also has antioxidant-like effects--offset perturbations in oxidative stress and antioxidant protection in rat liver and skeletal muscle in streptozotocin-induced diabetes (SID) model. Experimental diabetes decreased TRX-1 levels in skeletal muscle and liver. On the other hand, SID increased oxidative stress marker protein carbonyl levels and decreased oxygen radical absorbance capacity (ORAC), an indicator of antioxidant capacity, in liver. A 4-week treatment of sodium selenate to diabetic rats decreased blood glucose levels moderately, while doxycycline treatment caused a reduction in weight loss of diabetic rats. Both doxycycline and sodium selenate prevented diabetes-induced decrease of TRX-1 levels in skeletal muscle, whereas only doxyxycline was effectively preventing diabetes-induced decrease of TRX-1 in liver. Furthermore, both treatments prevented diabetes-induced altered levels of protein carbonyls and ORAC in liver, and restored free and total protein thiol levels in both skeletal muscle and liver. In conclusion, the data of this study provides further evidence that sodium selenate and doxycycline treatments may control oxidative stress and improve antioxidant defense in diabetes.
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Affiliation(s)
- Mustafa Atalay
- Institute of Biomedicine, Physiology, University of Eastern Finland, Kuopio, Finland
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Breusing N, Grune T, Andrisic L, Atalay M, Bartosz G, Biasi F, Borovic S, Bravo L, Casals I, Casillas R, Dinischiotu A, Drzewinska J, Faber H, Fauzi NM, Gajewska A, Gambini J, Gradinaru D, Kokkola T, Lojek A, Luczaj W, Margina D, Mascia C, Mateos R, Meinitzer A, Mitjavila MT, Mrakovcic L, Munteanu MC, Podborska M, Poli G, Sicinska P, Skrzydlewska E, Vina J, Wiswedel I, Zarkovic N, Zelzer S, Spickett CM. An inter-laboratory validation of methods of lipid peroxidation measurement in UVA-treated human plasma samples. Free Radic Res 2010; 44:1203-15. [PMID: 20836662 DOI: 10.3109/10715762.2010.499907] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Lipid peroxidation products like malondialdehyde, 4-hydroxynonenal and F(2)-isoprostanes are widely used as markers of oxidative stress in vitro and in vivo. This study reports the results of a multi-laboratory validation study by COST Action B35 to assess inter-laboratory and intra-laboratory variation in the measurement of lipid peroxidation. Human plasma samples were exposed to UVA irradiation at different doses (0, 15 J, 20 J), encoded and shipped to 15 laboratories, where analyses of malondialdehyde, 4-hydroxynonenal and isoprostanes were conducted. The results demonstrate a low within-day-variation and a good correlation of results observed on two different days. However, high coefficients of variation were observed between the laboratories. Malondialdehyde determined by HPLC was found to be the most sensitive and reproducible lipid peroxidation product in plasma upon UVA treatment. It is concluded that measurement of malondialdehyde by HPLC has good analytical validity for inter-laboratory studies on lipid peroxidation in human EDTA-plasma samples, although it is acknowledged that this may not translate to biological validity.
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Affiliation(s)
- Nicolle Breusing
- Institute of Biological Chemistry and Nutrition, University of Hohenheim, Stuttgart, Germany
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Kokkola T, Vaittinen M, Laitinen JT. Inverse agonist exposure enhances ligand binding and G protein activation of the human MT1 melatonin receptor, but leads to receptor down-regulation. J Pineal Res 2007; 43:255-62. [PMID: 17803522 DOI: 10.1111/j.1600-079x.2007.00470.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Melatonin binds and activates G protein-coupled melatonin receptors. The density and affinity of the endogenous melatonin receptors change throughout the 24-hr day, and the exposure of recombinant melatonin receptors to melatonin often results in desensitization of the receptors. Receptor density, G protein activation and expression level were analyzed in CHO cell lines stably expressing the human MT1 receptors after 1 or 72 hr of exposure to melatonin (agonist, 10 nm) and luzindole (antagonist/inverse agonist, 10 microm). The 72-hr exposure to luzindole significantly increased the apparent receptor density in cell lines with both high and low MT1 receptor expression levels (MT1(high) and MT1(low) cells, respectively). In the constitutively active MT1(high) cells, luzindole pretreatment also stimulated the functional response to melatonin in [(35)S]GTPgammaS binding assays, whereas melatonin pretreatment attenuated the functional response at both time points. Receptor ELISA was used to analyze the cell membrane and total expression level of the MT1 receptor in intact and permeabilized cells, respectively. Luzindole pretreatment decreased the total cellular level of MT1 receptor in the MT1(high) cells at both time points but increased the cell surface expression of MT1 receptor at 72 hr. Melatonin significantly decreased MT1 receptor cell surface expression only in MT1(high) cells after a 1-hr treatment. These results indicate that melatonin treatment desensitizes MT1 receptors, whereas luzindole increases ligand binding and G-protein activation. Luzindole also stimulates downregulation of the MT1 receptor protein, interfering with the synthesis and/or degradation of the receptor.
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Affiliation(s)
- Tarja Kokkola
- Institute of Biomedicine/Physiology, University of Kuopio, Kuopio, Finland.
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Abstract
All G protein-coupled melatonin receptors have two conserved cysteines in the interphase between transmembrane helix III and the second intracellular loop, in the region assumed important in receptor/G protein coupling. The cysteines are also potential targets of receptor S-nitrosylation. The effects of site-directed mutagenesis of these cysteines in the human MT1 melatonin receptor were investigated. The cysteines were mutated into serines either individually or as a pair and stable Chinese hamster ovary cell lines expressing the wild-type and mutant MT1 receptors were created. Receptor expression level, subcellular localization, ligand binding and G protein activation of the cell lines were analyzed. Serine substitution of C127 (Cys(3.52)) did not affect the ligand binding affinity and agonist potency but had an influence on receptor trafficking and G protein activation capacity. Serine substitution of C130 (Cys(3.55)) resulted in a decrease in the potency of melatonin to activate G proteins. When both cysteines were mutated into serines, normal MT1 receptor binding and activation were abolished. Computer modeling revealed that the mutations did not change the structure of the ligand binding pocket. Cysteine S-nitrosylation had no influence on G protein activation through MT1 receptors. Taken together, these data show that the two conserved cysteines in the end of transmembrane domain III of the MT1 melatonin receptor, especially C130 (Cys(3.55)), are needed for normal G protein activation and receptor trafficking.
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Affiliation(s)
- Tarja Kokkola
- Department of Physiology, University of Kuopio, Kuopio, Finland.
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Savinainen JR, Kokkola T, Salo OMH, Poso A, Järvinen T, Laitinen JT. Identification of WIN55212-3 as a competitive neutral antagonist of the human cannabinoid CB2 receptor. Br J Pharmacol 2005; 145:636-45. [PMID: 15852035 PMCID: PMC1576178 DOI: 10.1038/sj.bjp.0706230] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.9] [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: 01/26/2005] [Revised: 03/04/2005] [Accepted: 03/10/2005] [Indexed: 12/31/2022] Open
Abstract
1. Several G protein-coupled receptors (GPCRs), including cannabinoid CB(1) and CB(2) receptors, show constitutive activity under heterologous expression. Such a tonic response is generated in the absence of an activating ligand, and can be inhibited by inverse agonists. Neutral antagonists, however, are silent at such receptors, but can reverse both agonist and inverse agonist responses. To date, no neutral antagonist for the CB(2) receptor has been reported. 2. Here, by monitoring receptor-dependent G protein activation, we demonstrate that WIN55212-3 acts as a neutral antagonist at the human CB(2) (hCB(2)) receptor. WIN55212-3 alone, at concentrations =10(-4) M, behaved as a silent ligand exhibiting no agonist or inverse agonist activity. However, WIN55212-3 competitively antagonized cannabinoid agonist CP-55,940-stimulated responses (pA(2) 6.1). Importantly, the inverse agonism evoked by SR144528 in hCB(2) was dose-dependently reversed by WIN55212-3 (pEC(50) 5.3+/-0.2), indicating true neutral antagonist behavior. 3. Furthermore, WIN55212-3 also antagonized CB(1) receptor signaling in a competitive manner (pA(2) 5.6), but behaved as a partial inverse agonist (pIC(50) 5.5+/-0.1) at the constitutively active human CB(1). 4. Additionally, WIN55212-3 antagonized signaling of the human melatonin MT(1) receptor, with modest activity at the human muscarinic M4 receptor, but it was inactive towards several other GPCRs. 5. These data identify WIN55212-3 as a true neutral hCB(2) receptor antagonist. WIN55212-3 offers a valuable tool for further characterization of ligand activities at the CB(2) receptor and may serve as a lead compound in further efforts to develop more potent and selective neutral CB(2) receptor antagonists.
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Affiliation(s)
- Juha R Savinainen
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211 Kuopio, Finland.
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Kokkola T, Savinainen JR, Mönkkönen KS, Retamal MD, Laitinen JT. S-nitrosothiols modulate G protein-coupled receptor signaling in a reversible and highly receptor-specific manner. BMC Cell Biol 2005; 6:21. [PMID: 15850493 PMCID: PMC1090567 DOI: 10.1186/1471-2121-6-21] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2004] [Accepted: 04/25/2005] [Indexed: 11/24/2022] Open
Abstract
Background Recent studies indicate that the G protein-coupled receptor (GPCR) signaling machinery can serve as a direct target of reactive oxygen species, including nitric oxide (NO) and S-nitrosothiols (RSNOs). To gain a broader view into the way that receptor-dependent G protein activation – an early step in signal transduction – might be affected by RSNOs, we have studied several receptors coupling to the Gi family of G proteins in their native cellular environment using the powerful functional approach of [35S]GTPγS autoradiography with brain cryostat sections in combination with classical G protein activation assays. Results We demonstrate that RSNOs, like S-nitrosoglutathione (GSNO) and S-nitrosocysteine (CysNO), can modulate GPCR signaling via reversible, thiol-sensitive mechanisms probably involving S-nitrosylation. RSNOs are capable of very targeted regulation, as they potentiate the signaling of some receptors (exemplified by the M2/M4 muscarinic cholinergic receptors), inhibit others (P2Y12 purinergic, LPA1lysophosphatidic acid, and cannabinoid CB1 receptors), but may only marginally affect signaling of others, such as adenosine A1, μ-opioid, and opiate related receptors. Amplification of M2/M4 muscarinic responses is explained by an accelerated rate of guanine nucleotide exchange, as well as an increased number of high-affinity [35S]GTPγS binding sites available for the agonist-activated receptor. GSNO amplified human M4 receptor signaling also under heterologous expression in CHO cells, but the effect diminished with increasing constitutive receptor activity. RSNOs markedly inhibited P2Y12 receptor signaling in native tissues (rat brain and human platelets), but failed to affect human P2Y12 receptor signaling under heterologous expression in CHO cells, indicating that the native cellular signaling partners, rather than the P2Y12 receptor protein, act as a molecular target for this action. Conclusion These in vitro studies show for the first time in a broader general context that RSNOs are capable of modulating GPCR signaling in a reversible and highly receptor-specific manner. Given that the enzymatic machinery responsible for endogenous NO production is located in close proximity with the GPCR signaling complex, especially with that for several receptors whose signaling is shown here to be modulated by exogenous RSNOs, our data suggest that GPCR signaling in vivo is likely to be subject to substantial, and highly receptor-specific modulation by NO-derived RSNOs.
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Affiliation(s)
- Tarja Kokkola
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211, Kuopio, Finland
| | - Juha R Savinainen
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211, Kuopio, Finland
- Department of Pharmaceutical Chemistry, University of Kuopio, POB 1627, FIN-70211 Kuopio, Finland
| | - Kati S Mönkkönen
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211, Kuopio, Finland
| | - Montse Durán Retamal
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211, Kuopio, Finland
| | - Jarmo T Laitinen
- Department of Physiology, University of Kuopio, POB 1627, FIN-70211, Kuopio, Finland
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Abstract
Models of G protein-coupled melatonin receptor structure suggest that ligand recognition occurs in a binding pocket formed by transmembrane helices III, V and VII. Constitutively active mutations in G protein-coupled receptors have revealed that transmembrane helix III/intracellular loop 2 interface and transmembrane domain VI are critical regions in receptor activation. In this study, nine site-directed mutants of the human MT1 melatonin receptor were created to test the importance of specific amino acids in these regions in ligand recognition and receptor activation events. We analyzed ligand binding, G protein activation and subcellular localization of MT1 receptors transiently expressed in COS-7 cells. Receptor ELISA was employed to study expression levels of N-terminally HA epitope tagged wild-type and mutant MT1 receptors. Mutations in histidine H195 (His(5.46)) in transmembrane domain V reduced receptor affinity for 2-[125I]iodomelatonin. Several other mutants had diminished expression on the plasma membrane. Amino acids M107 (Met(3.32)) in transmembrane domain III and S280 (Ser(7.46)) in transmembrane domain VII were found not to participate in ligand recognition in human MT1 receptor. Constitutive activity was not obtained with mutations in N124 (Asn(3.49)) or P253 (Pro(6.50)). These mutants failed to bind 2-[125I]iodomelatonin and had reduced expression levels. The need to upgrade current melatonin receptor models has become evident. Several important amino acids for the human MT1 melatonin receptor function were revealed in the current study, with effects of mutations ranging from slightly reduced affinity or efficacy to complete loss of function.
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Affiliation(s)
- Tarja Kokkola
- Department of Physiology, University of Kuopio, 70211, Kuopio, Finland.
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Kokkola T, Watson MA, White J, Dowell S, Foord SM, Laitinen JT. Mutagenesis of human Mel1a melatonin receptor expressed in yeast reveals domains important for receptor function. Biochem Biophys Res Commun 1998; 249:531-6. [PMID: 9712731 DOI: 10.1006/bbrc.1998.9182] [Citation(s) in RCA: 45] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A yeast functional colorimetric assay was employed to test the effects of site-directed point mutations on the function of the human Mel1a melatonin receptor. Seven mutants were created in transmembrane domains III, V, and VII of the receptor to test the rhodopsin-based model of melatonin recognition. Two mutants in transmembrane domains III and VI were created to investigate the mechanisms of G protein activation in the melatonin receptor. Mutations in transmembrane domain V either potentiated agonist efficiencies (H195A) or totally abolished all responses to tested compounds (V192T+H195A). Mutation N124A in the conserved NRY motif in the end of transmembrane domain III seriously impaired receptor activation. Several mutants were found to have decreased ability to activate functional responses, reflecting the importance of these residues for receptor function. These data also suggest that activation of the receptor involves interaction of the 5-methoxy group of melatonin with the conserved histidine H195 in transmembrane domain V.
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Affiliation(s)
- T Kokkola
- Department of Physiology, University of Kuopio, Kuopio, Finland
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Abstract
Melatonin is produced rhythmically by the pineal gland and the retina with increased synthesis during darkness. Pineal melatonin serves as the 'chemical expression of darkness' conveying information on the ambient light-dark cycle into rhythmic bodily functions. On-going debate on modes and sites of action ranges from views of melatonin affecting each and every cell ('cure-all') to those of melatonin having restricted actions through specific high-affinity receptors. The present review deals with the latter view. The use of 2-[125I]-iodomelatonin has allowed the exact localization and characterization of high-affinity melatonin receptors that signal through the G(i/o) class of G proteins. Molecular cloning of melatonin receptor genes has confirmed that most, if not all, high-affinity melatonin-binding sites represent the G-protein-coupled melatonin receptors. Based on sequence dissimilarities, melatonin receptors are classified into three subtypes, Mel1a, Mel1b and Mel1c. A distribution wider than originally thought of melatonin receptors in the human brain and peripheral sites has brought these receptors into focus of several drug companies, promising exciting times for research on melatonin and new therapeutic possibilities.
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Affiliation(s)
- T Kokkola
- Department of Physiology, University of Kuopio, Finland
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