1
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Sævik ÅB, Ueland G, Åkerman AK, Methlie P, Quinkler M, Jørgensen AP, Höybye C, Debowska AWJ, Nedrebø BG, Dahle AL, Carlsen S, Tomkowicz A, Sollid ST, Nermoen I, Grønning K, Dahlqvist P, Grimnes G, Skov J, Finnes T, Valland SF, Wahlberg J, Holte SE, Kämpe O, Bensing S, Husebye ES, Øksnes M. Altered biomarkers for cardiovascular disease and inflammation in autoimmune Addison's disease - a cross-sectional study. Eur J Endocrinol 2023; 189:438-447. [PMID: 37807083 DOI: 10.1093/ejendo/lvad136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 08/01/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVE Increased prevalence of cardiovascular disease has been reported in autoimmune Addison's disease (AAD), but pathomechanisms are poorly understood. DESIGN Cross-sectional study. METHODS We compared serum levels of 177 cardiovascular and inflammatory biomarkers in 43 patients with AAD at >18-h glucocorticoid withdrawal and 43 matched controls, overall and stratified for sex. Biomarker levels were correlated with the frequency of adrenal crises and quality of life (QoL) by AddiQoL-30. Finally, we investigated changes in biomarker levels following 250 µg tetracosactide injection in patients without residual adrenocortical function (RAF) to explore glucocorticoid-independent effects of high ACTH. RESULTS Nineteen biomarkers significantly differed between patients with AAD and controls; all but 1 (ST1A1) were higher in AAD. Eight biomarkers were significantly higher in female patients compared with controls (IL6, MCP1, GAL9, SPON2, DR4, RAGE, TNFRSF9, and PGF), but none differed between male patients and controls. Levels of RAGE correlated with the frequency of adrenal crises (r = 0.415, P = .006) and AddiQoL-30 scores (r = -0.347, P = .028) but not after correction for multiple testing. PDL2 and leptin significantly declined 60 min after injection of ACTH in AAD without RAF (-0.15 normalized protein expression [NPX], P = .0001, and -0.25 NPX, P = .0003, respectively). CONCLUSIONS We show that cardiovascular and inflammatory biomarkers are altered in AAD compared with controls, particularly in women. RAGE might be a marker of disease severity in AAD, associated with more adrenal crises and reduced QoL. High ACTH reduced PDL2 and leptin levels in a glucocorticoid-independent manner but the overall effect on biomarker profiles was small.
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Affiliation(s)
- Åse Bjorvatn Sævik
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
| | - Grethe Ueland
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
- Department of Medicine, Haukeland University Hospital, Bergen 5021, Norway
| | - Anna-Karin Åkerman
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm 171 77, Sweden
- Department of Medicine, Örebro University Hospital, Örebro 702 17, Sweden
| | - Paal Methlie
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
- Department of Medicine, Haukeland University Hospital, Bergen 5021, Norway
| | - Marcus Quinkler
- Practice for Endocrinology and Nephrology, Endocrinology in Charlottenburg, Berlin 10627, Germany
| | | | - Charlotte Höybye
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm 171 77, Sweden
- Department of Endocrinology, Karolinska University Hospital, Stockholm 171 77, Sweden
| | | | | | - Anne Lise Dahle
- Department of Internal Medicine, Haugesund Hospital, Haugesund 5528, Norway
| | - Siri Carlsen
- Department of Endocrinology, Stavanger University Hospital, Stavanger 4019, Norway
| | - Aneta Tomkowicz
- Department of Medicine, Sørlandet Hospital, Kristiansand 4604, Norway
| | - Stina Therese Sollid
- Department of Medicine, Drammen Hospital, Vestre Viken Health Trust, Drammen 3004, Norway
| | - Ingrid Nermoen
- Department of Endocrinology, Akershus University Hospital, Lørenskog 1478, Norway
| | - Kaja Grønning
- Department of Endocrinology, Akershus University Hospital, Lørenskog 1478, Norway
| | - Per Dahlqvist
- Department of Public Health and Clinical Medicine, Umeå University, Umeå 907 37, Sweden
| | - Guri Grimnes
- Division of Internal Medicine, University Hospital of North Norway, Tromsø 9019, Norway
- Tromsø Endocrine Research Group, Department of Clinical Medicine, UiT the Arctic University of Norway, Tromsø 9019, Norway
| | - Jakob Skov
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Trine Finnes
- Section of Endocrinology, Innlandet Hospital Trust, Hamar 2318, Norway
| | - Susanna F Valland
- Section of Endocrinology, Innlandet Hospital Trust, Hamar 2318, Norway
| | - Jeanette Wahlberg
- Department of Endocrinology, Linköping University, Linköping 581 85, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping 581 85, Sweden
| | | | - Olle Kämpe
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
- Department of Endocrinology, Karolinska University Hospital, Stockholm 171 77, Sweden
- Department of Medicine (Solna), Karolinska University Hospital, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Sophie Bensing
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm 171 77, Sweden
- Department of Endocrinology, Karolinska University Hospital, Stockholm 171 77, Sweden
| | - Eystein Sverre Husebye
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
- Department of Medicine, Haukeland University Hospital, Bergen 5021, Norway
- Department of Medicine (Solna), Karolinska University Hospital, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Marianne Øksnes
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
- K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen 5021, Norway
- Department of Medicine, Haukeland University Hospital, Bergen 5021, Norway
- Department of Medicine (Solna), Karolinska University Hospital, Karolinska Institutet, Stockholm 171 77, Sweden
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2
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Repetto L, Chen J, Yang Z, Zhai R, Timmers PRHJ, Li T, Twait EL, May-Wilson S, Muckian MD, Prins BP, Png G, Kooperberg C, Johansson Å, Hillary RF, Wheeler E, Pan L, He Y, Klasson S, Ahmad S, Peters JE, Gilly A, Karaleftheri M, Tsafantakis E, Haessler J, Gyllensten U, Harris SE, Wareham NJ, Göteson A, Lagging C, Ikram MA, van Duijn CM, Jern C, Landén M, Langenberg C, Deary IJ, Marioni RE, Enroth S, Reiner AP, Dedoussis G, Zeggini E, Butterworth AS, Mälarstig A, Wilson JF, Navarro P, Shen X. Unraveling Neuro-Proteogenomic Landscape and Therapeutic Implications for Human Behaviors and Psychiatric Disorders. RESEARCH SQUARE 2023:rs.3.rs-2720355. [PMID: 37034613 PMCID: PMC10081382 DOI: 10.21203/rs.3.rs-2720355/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioral traits and the disease etiology of neuropsychiatric disorders. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-related proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-related traits such as sleeping, smoking, feelings, alcohol intake, mental health, and psychiatric disorders. Integrating with established drug information, we validated 13 out of 13 matched combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets. This consortium effort provides a large-scale proteogenomic resource for biomedical research on human behaviors and other neuro-related phenotypes.
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Affiliation(s)
- Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiantao Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhijian Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ranran Zhai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Paul R. H. J. Timmers
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ting Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrechtand Utrecht University, Utrecht, Netherlands
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Marisa D. Muckian
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Bram P. Prins
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM), School of Medicine, 81675 Munich, Germany
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Åsa Johansson
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Robert F. Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Lu Pan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Sofia Klasson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - James E. Peters
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Ulf Gyllensten
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Sarah E. Harris
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andreas Göteson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lagging
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | | | | | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Germany
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Stefan Enroth
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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3
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Alberts C, Owe-Larsson M, Urbanska EM. New Perspective on Anorexia Nervosa: Tryptophan-Kynurenine Pathway Hypothesis. Nutrients 2023; 15:nu15041030. [PMID: 36839388 PMCID: PMC9967350 DOI: 10.3390/nu15041030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Anorexia nervosa (AN), affecting up to 4% of all females and 0.3% of all males globally, remains the neuropsychiatric disorder with the highest mortality rate. However, the response to the current therapeutic options is rarely satisfactory. Considering the devastating prognosis of survival among patients with AN, further research aimed at developing novel, more effective therapies for AN is essential. Brain and serum tryptophan is mostly converted along the kynurenine pathway into multiple neuroactive derivatives, whereas only 1-2% is used for the synthesis of serotonin. This narrative review provides an update on the experimental and clinical research data concerning the metabolism of tryptophan along the kynurenine pathway in anorexia nervosa based on the available literature. We propose that in AN, lower levels of L-kynurenine and kynurenic acid result in diminished stimulation of the aryl hydrocarbon receptor, which could contribute to abnormally low body weight. The impact of L-kynurenine supplementation on anorexia in animal models and the effects of changes in tryptophan and downstream kynurenines on the clinical progression of AN require further investigation. Moreover, prospective clinical studies on larger cohorts of restrictive and binge-eating/purging AN patients and assessing the potential benefit of L-kynurenine as an add-on therapeutic agent, should follow.
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Affiliation(s)
- Charl Alberts
- Department of Experimental and Clinical Pharmacology, Medical University of Lublin, Jaczewskiego 8B, 20-059 Lublin, Poland
| | - Maja Owe-Larsson
- Department of Histology and Embryology, Center of Biostructure Research, Medical University of Warsaw, Chałubińskiego 5, 02-004 Warsaw, Poland
- Laboratory of Center for Preclinical Research, Department of Experimental and Clinical Physiology, Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland
| | - Ewa M. Urbanska
- Laboratory of Cellular and Molecular Pharmacology, Department of Experimental and Clinical Pharmacology, Medical University of Lublin, Jaczewskiego 8B, 20-059 Lublin, Poland
- Correspondence:
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4
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Repetto L, Chen J, Yang Z, Zhai R, Timmers PRHJ, Li T, Twait EL, May-Wilson S, Muckian MD, Prins BP, Png G, Kooperberg C, Johansson Å, Hillary RF, Wheeler E, Pan L, He Y, Klasson S, Ahmad S, Peters JE, Gilly A, Karaleftheri M, Tsafantakis E, Haessler J, Gyllensten U, Harris SE, Wareham NJ, Göteson A, Lagging C, Ikram MA, van Duijn CM, Jern C, Landén M, Langenberg C, Deary IJ, Marioni RE, Enroth S, Reiner AP, Dedoussis G, Zeggini E, Butterworth AS, Mälarstig A, Wilson JF, Navarro P, Shen X. Genetic mechanisms of 184 neuro-related proteins in human plasma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.10.23285650. [PMID: 36824751 PMCID: PMC9949195 DOI: 10.1101/2023.02.10.23285650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the disease etiology of neuropsychiatric disorders and other complex traits and diseases. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-reiated proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-reiated traits as well as complex diseases such as hypertension, high cholesterol, immune-related disorders, and psychiatric disorders. Integrating with established drug information, we validated 13 combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets for diseases and comorbidities. This consortium effort provides a large-scale proteogenomic resource for biomedical research.
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Affiliation(s)
- Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiantao Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhijian Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ranran Zhai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Paul R. H. J. Timmers
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ting Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Marisa D. Muckian
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Bram P. Prins
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM), School of Medicine, 81675 Munich, Germany
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Åsa Johansson
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Robert F. Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Lu Pan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Sofia Klasson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - James E. Peters
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Ulf Gyllensten
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Sarah E. Harris
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andreas Göteson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lagging
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | | | | | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Germany
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Stefan Enroth
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
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Waszczuk MA, Kuan PF, Yang X, Miao J, Kotov R, Luft BJ. Discovery and replication of blood-based proteomic signature of PTSD in 9/11 responders. Transl Psychiatry 2023; 13:8. [PMID: 36631443 PMCID: PMC9834302 DOI: 10.1038/s41398-022-02302-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 11/28/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
Proteomics provides an opportunity to develop biomarkers for the early detection and monitoring of post-traumatic stress disorder (PTSD). However, research to date has been limited by small sample sizes and a lack of replication. This study performed Olink Proseek Multiplex Platform profiling of 81 proteins involved in neurological processes in 936 responders to the 9/11 disaster (mean age at blood draw = 55.41 years (SD = 7.93), 94.1% white, all men). Bivariate correlations and elastic net regressions were used in a discovery subsample to identify concurrent associations between PTSD symptom severity and the profiled proteins, and to create a multiprotein composite score. In hold-out subsamples, nine bivariate associations between PTSD symptoms and differentially expressed proteins were replicated: SKR3, NCAN, BCAN, MSR1, PVR, TNFRSF21, DRAXIN, CLM6, and SCARB2 (|r| = 0.08-0.17, p < 0.05). There were three replicated bivariate associations between lifetime PTSD diagnosis and differentially expressed proteins: SKR3, SIGLEC, and CPM (OR = 1.38-1.50, p < 0.05). The multiprotein composite score retained 38 proteins, including 10/11 proteins that replicated in bivariate tests. The composite score was significantly associated with PTSD symptom severity (β = 0.27, p < 0.001) and PTSD diagnosis (OR = 1.60, 95% CI: 1.17-2.19, p = 0.003) in the hold-out subsample. Overall, these findings suggest that PTSD is characterized by altered expression of several proteins implicated in neurological processes. Replicated associations with TNFRSF21, CLM6, and PVR support the neuroinflammatory signature of PTSD. The multiprotein composite score substantially increased associations with PTSD symptom severity over individual proteins. If generalizable to other populations, the current findings may inform the development of PTSD biomarkers.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Pei-Fen Kuan
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Xiaohua Yang
- Department of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Jiaju Miao
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Stony Brook University, Stony Brook, NY, USA.
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6
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Alhamdow A, Tinnerberg H, Lindh C, Albin M, Broberg K. Cancer-related proteins in serum are altered in workers occupationally exposed to polycyclic aromatic hydrocarbons: a cross-sectional study. Carcinogenesis 2020; 40:771-781. [PMID: 30753342 PMCID: PMC6612054 DOI: 10.1093/carcin/bgz022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 01/04/2019] [Accepted: 02/07/2019] [Indexed: 01/06/2023] Open
Abstract
Exposure to some polycyclic aromatic hydrocarbons (PAH) increases the risk of cancer and is common particularly for workers in occupations such as chimney sweeping. In exposed workers, screening of early cancer-related markers provides important information to identify individuals at risk. Here, we aimed to elucidate the associations between PAH exposure and serum levels of cancer-related proteins in 118 chimney sweeps and 126 occupationally unexposed controls, all non-smoking males from Sweden. Monoydroxylated metabolites of pyrene, phenanthrene, benzo[a]pyrene and benzo[a]anthracene were measured in urine using liquid chromatography coupled to tandem mass spectrometry and 90 cancer-related proteins were measured in serum using a proximity extension assay. Linear regression analysis adjusted for age and body mass index, and false discovery rate (FDR) identified 17 serum proteins that were differentially expressed (16 upregulated and 1 downregulated) in chimney sweeps compared with controls (FDR < 0.05). Concentrations of the peptidase kallikrein 13 (KLK13) showed significant positive associations with urinary concentrations of the PAH metabolites 3-hydroxybenzo[a]pyrene (3-OH-BaP) [B, 95% confidence interval (CI): 0.042, 0.008–0.076] and 3-hydroxybenzo[a]anthracene (3-OH-BaA) (B, 95% CI: 0.068, 0.002–0.134). Moreover, dose–response relationships were observed between KLK13 and 3-OH-BaP (trend test P = 0.027) and 3-OH-BaA (P = 0.035). Pathway and gene ontology analyses showed that cell movement, cell adhesion and cell migration were the predominant molecular functions associated with the top differentially expressed proteins. In conclusion, we found a number of putative cancer-related proteins differentially expressed in workers exposed to PAH. This warrants effective measure to reduce PAH exposure among workers as well as further investigation to confirm these findings.
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Affiliation(s)
- Ayman Alhamdow
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Håkan Tinnerberg
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Christian Lindh
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden.,Centre for Occupational and Environmental Medicine (CAMM), Stockholm County Council, Stockholm, Sweden
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
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7
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Harris SE, Cox SR, Bell S, Marioni RE, Prins BP, Pattie A, Corley J, Muñoz Maniega S, Valdés Hernández M, Morris Z, John S, Bronson PG, Tucker-Drob EM, Starr JM, Bastin ME, Wardlaw JM, Butterworth AS, Deary IJ. Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age. Nat Commun 2020; 11:800. [PMID: 32041957 PMCID: PMC7010796 DOI: 10.1038/s41467-019-14161-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 12/19/2019] [Indexed: 12/31/2022] Open
Abstract
Identifying biological correlates of late life cognitive function is important if we are to ascertain biomarkers for, and develop treatments to help reduce, age-related cognitive decline. Here, we investigated the associations between plasma levels of 90 neurology-related proteins (Olink® Proteomics) and general fluid cognitive ability in the Lothian Birth Cohort 1936 (LBC1936, N = 798), Lothian Birth Cohort 1921 (LBC1921, N = 165), and the INTERVAL BioResource (N = 4451). In the LBC1936, 22 of the proteins were significantly associated with general fluid cognitive ability (β between -0.11 and -0.17). MRI-assessed total brain volume partially mediated the association between 10 of these proteins and general fluid cognitive ability. In an age-matched subsample of INTERVAL, effect sizes for the 22 proteins, although smaller, were all in the same direction as in LBC1936. Plasma levels of a number of neurology-related proteins are associated with general fluid cognitive ability in later life, mediated by brain volume in some cases.
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Affiliation(s)
- Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK. .,Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK
| | - Steven Bell
- UK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.,The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.,Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge Neurology Unit, Cambridge Biomedical Campus, Cambridge, CB20QQ, UK
| | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Bram P Prins
- UK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Maria Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Zoe Morris
- Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK
| | - Sally John
- Translational Biology, Biogen, Cambridge, MA, 02142, USA
| | | | - Elliot M Tucker-Drob
- Department of Psychology, University of Texas, 108 E Dean Keeton St, Austin, TX, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Adam S Butterworth
- UK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.,The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
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8
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Alhamdow A, Lindh C, Albin M, Gustavsson P, Tinnerberg H, Broberg K. Cardiovascular Disease-Related Serum Proteins in Workers Occupationally Exposed to Polycyclic Aromatic Hydrocarbons. Toxicol Sci 2019; 171:235-246. [PMID: 31228248 PMCID: PMC6735884 DOI: 10.1093/toxsci/kfz142] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 05/28/2019] [Accepted: 06/09/2019] [Indexed: 01/06/2023] Open
Abstract
Chimney sweeps have higher incidence and mortality of cardiovascular disease (CVD), likely related to their exposure to polycyclic aromatic hydrocarbons (PAH). In order to identify underlying mechanisms of PAH-related CVD, we here investigated whether PAH exposure was associated with levels of putative CVD-related proteins in serum among currently working chimney sweeps. We enrolled 116 chimney sweeps and 125 unexposed controls, all nonsmoking male workers from Sweden. We measured monohydroxylated PAH metabolites in urine by liquid chromatography coupled to tandem mass spectrometry and a panel of 85 proteins in serum using proximity extension assay. Linear regression analysis adjusted for age and body mass index showed that 25 proteins were differentially expressed between chimney sweeps and the controls (p < .05, adjusted for false discovery rate). Of the 25 proteins, follistatin (FS), prointerleukin-16 (IL-16), and heat shock protein beta-1 (HSP 27) showed positive associations with the monohydroxylated metabolites of PAH in a dose-response manner (p < .05). Pathway and gene ontology analyses demonstrated that the differentially expressed proteins were mainly involved in inflammatory response and immunological functions, such as leukocyte migration, cell movement of leukocytes, and adhesion of immune cells. In conclusion, we found a number of putative CVD-related proteins differentially expressed, between PAH-exposed and unexposed individuals, and mainly involved in inflammation and immune function. Our data warrant protective measures to reduce PAH exposure and longitudinal investigations of the protein profile in chimney sweeps and other occupational groups exposed to PAH.
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Affiliation(s)
- Ayman Alhamdow
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Christian Lindh
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund 223 63, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund 223 63, Sweden
- Centre for Occupational and Environmental Medicine (CAMM), Stockholm County Council, Stockholm 113 65, Sweden
| | - Per Gustavsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
- Centre for Occupational and Environmental Medicine (CAMM), Stockholm County Council, Stockholm 113 65, Sweden
| | - Håkan Tinnerberg
- Section of Occupational and Environmental Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg 405 30, Sweden
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund 223 63, Sweden
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9
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Bergens O, Nilsson A, Kadi F. Cardiorespiratory Fitness Does Not Offset Adiposity-Related Systemic Inflammation in Physically Active Older Women. J Clin Endocrinol Metab 2019; 104:4119-4126. [PMID: 31058998 DOI: 10.1210/jc.2019-00067] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 04/30/2019] [Indexed: 02/13/2023]
Abstract
CONTEXT Chronic inflammation increases diabetes risk and may be exacerbated by excess adipose tissue. Whether cardiovascular fitness can offset chronic inflammation associated with excess adipose tissue in older adults is unclear. OBJECTIVE The study aimed to examine the influence of cardiorespiratory fitness on links between adiposity and pro- and anti-inflammatory biomarkers related to metabolic risk in physically active older women. DESIGN, SETTING AND PARTICIPANTS Cross-sectional study comprising older community-dwelling women (n = 109; age, 65-70 yr). MAIN OUTCOME Cardiorespiratory fitness was assessed using a standardized submaximal test and participants were categorized into high and low adiposity-related metabolic risk (body mass index, waist-to-hip ratio (WHR) and total fat mass). The inflammatory biomarkers C-reactive protein (CRP), interleukin-6 (IL-6), IL-10, IL-18, adiponectin, monocyte chemoattractant protein-1 (MCP-1), and macrophage inflammatory protein (MIP-1α) were analyzed. RESULTS Regardless of adiposity measure, women in the metabolic high-risk group had significantly (P<0.05) elevated CRP and lower adiponectin levels. Levels of IL-6 and MIP1-α were significantly elevated in the high-risk group defined by WHR and total fat mass. IL-18 level was significantly elevated in the high-risk group based on WHR only. Importantly, a high cardiorespiratory fitness level did not attenuate the detrimental links between adiposity measures and inflammation. CONCLUSIONS Altogether, cardiorespiratory fitness does not offset the detrimental links between adiposity and several inflammatory biomarkers related to metabolic risk in physically active older women. Reducing abdominal adipose tissue in older adults should be emphasized in efforts aiming to attenuate age-related systemic inflammation and metabolic risk regardless of cardiorespiratory fitness.
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Affiliation(s)
- Oscar Bergens
- School of Health Sciences, Örebro University, Örebro, SWEDEN
| | - Andreas Nilsson
- School of Health Sciences, Örebro University, Örebro, SWEDEN
| | - Fawzi Kadi
- School of Health Sciences, Örebro University, Örebro, SWEDEN
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10
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Dencker M, Björgell O, Hlebowicz J. Effect of food intake on 92 oncological biomarkers by the Proseek Oncology II panel. BMC Res Notes 2019; 12:199. [PMID: 30940215 PMCID: PMC6446403 DOI: 10.1186/s13104-019-4237-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 03/28/2019] [Indexed: 11/25/2022] Open
Abstract
Objective To evaluates the effect of food intake on 92 oncological biomarkers to evaluate whether the timing of blood sampling could be relevant. Twenty-two healthy subjects were investigated. A total of 92 biomarkers were measured before a standardised meal as well as 30 and 120 min afterwards with the Proseek Multiplex Oncology II kit. Results The levels of 6 biomarkers decreased significantly (P < 0.001) 30 min after food intake, and 4 biomarkers remained decreased (P < 0.001) 120 min after food intake. One biomarker was significantly increased (P < 0.001) at both 30 and 120 min after food intake. Some changes were less than 10%. Those biomarkers that showed a difference of more than 10% include: Granzyme H (13%), Methionine aminopeptidase 2 (14%), Secretory carrier-associated membrane protein 3 (39%), FAS-associated death domain protein (41%), and Pancreatic prohormone (79%). This study shows that food intake has a very modest effect on 92 different oncological biomarkers. Trial registration National Library of Medicine trial registration number NCT01027507 (retrospectively registered on December 8, 2009)
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Affiliation(s)
- Magnus Dencker
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund University, 205 02, Malmö, Sweden.
| | - Ola Björgell
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund University, 205 02, Malmö, Sweden
| | - Joanna Hlebowicz
- Department of Clinical Sciences, Division of Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
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11
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Nuora A, Tupasela T, Jokioja J, Tahvonen R, Kallio H, Yang B, Viitanen M, Linderborg K. The effect of heat treatments and homogenisation of cows’ milk on gastrointestinal symptoms, inflammation markers and postprandial lipid metabolism. Int Dairy J 2018. [DOI: 10.1016/j.idairyj.2018.05.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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12
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Carlyle BC, Trombetta BA, Arnold SE. Proteomic Approaches for the Discovery of Biofluid Biomarkers of Neurodegenerative Dementias. Proteomes 2018; 6:32. [PMID: 30200280 PMCID: PMC6161166 DOI: 10.3390/proteomes6030032] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 08/22/2018] [Accepted: 08/29/2018] [Indexed: 12/11/2022] Open
Abstract
Neurodegenerative dementias are highly complex disorders driven by vicious cycles of intersecting pathophysiologies. While most can be definitively diagnosed by the presence of disease-specific pathology in the brain at postmortem examination, clinical disease presentations often involve substantially overlapping cognitive, behavioral, and functional impairment profiles that hamper accurate diagnosis of the specific disease. As global demographics shift towards an aging population in developed countries, clinicians need more sensitive and specific diagnostic tools to appropriately diagnose, monitor, and treat neurodegenerative conditions. This review is intended as an overview of how modern proteomic techniques (liquid chromatography mass spectrometry (LC-MS/MS) and advanced capture-based technologies) may contribute to the discovery and establishment of better biofluid biomarkers for neurodegenerative disease, and the limitations of these techniques. The review highlights some of the more interesting technical innovations and common themes in the field but is not intended to be an exhaustive systematic review of studies to date. Finally, we discuss clear reporting principles that should be integrated into all studies going forward to ensure data is presented in sufficient detail to allow meaningful comparisons across studies.
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Affiliation(s)
- Becky C Carlyle
- Massachusetts General Hospital Department of Neurology, Charlestown, MA 02129, USA.
| | - Bianca A Trombetta
- Massachusetts General Hospital Department of Neurology, Charlestown, MA 02129, USA.
| | - Steven E Arnold
- Massachusetts General Hospital Department of Neurology, Charlestown, MA 02129, USA.
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13
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Dencker M, Björgell O, Hlebowicz J. Effect of food intake on 92 neurological biomarkers in plasma. Brain Behav 2017; 7:e00747. [PMID: 28948068 PMCID: PMC5607537 DOI: 10.1002/brb3.747] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 05/08/2017] [Accepted: 05/15/2017] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE This study evaluates the effect of food intake on 92 neurological biomarkers in plasma. Moreover, it investigated if any of the biomarkers were correlated with body mass index. MATERIALS AND METHODS Twenty-two healthy subjects (11 male and 11 female aged 25.9 ± 4.2 years) were investigated. A total of 92 biomarkers were measured before a standardized meal as well as 30 and 120 min afterward with the Proseek Multiplex Neurology I kit. RESULTS The levels for 13 biomarkers decreased significantly (p < .001) 30 min after food intake. The levels for four biomarkers remained significantly decreased (p < .001) 120 min after food intake. One biomarker increased significantly (p < .001) 30 min after food intake. The changes were between 1% and 12%, with an average difference of about 5%. Only one biomarker showed a difference over 10% due to food intake. The biggest difference was observed for Plexin-B3 120 min after food intake (12%). Of all the 92 neurological biomarkers, only one was correlated with BMI, Kynureninase r = .46, p < .05. CONCLUSIONS This study shows that food intake has a very modest effect on 92 different neurological biomarkers. Timing of blood sampling in relation to food intake, therefore, appears not to be a major concern. Only Kynureninase was correlated with BMI. Further studies are warranted in older healthy subjects and in patients with various neurological diseases to determine whether the findings are reproducible in such populations.
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Affiliation(s)
- Magnus Dencker
- Department of Medical Imaging and Physiology Skåne University Hospital Lund University Malmö Sweden
| | - Ola Björgell
- Department of Medical Imaging and Physiology Skåne University Hospital Lund University Malmö Sweden
| | - Joanna Hlebowicz
- Department of Clinical Sciences Division of Medicine Skåne University Hospital Lund University Malmö Sweden
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