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Cellular immune activity biomarker neopterin is associated hyperlipidemia: results from a large population-based study.
Chuang, Shu-Chun; Boeing, Heiner; Vollset, Stein Emil; Midttun, Øivind; Ueland, Per Magne; Bueno-de-Mesquita, Bas; Lajous, Martin; Fagherazzi, Guy; Boutron-Ruault, Marie-Christine; Kaaks, Rudolf; Küehn, Tilman; Pischon, Tobias; Drogan, Dagmar; Tjønneland, Anne; Overvad, Kim; Quirós, J Ramón; Agudo, Antonio; Molina-Montes, Esther; Dorronsoro, Miren; Huerta, José María; Barricarte, Aurelio; Khaw, Kay-Tee; Wareham, Nicholas J; Travis, Ruth C; Trichopoulou, Antonia; Lagiou, Pagona; Trichopoulos, Dimitrios; Masala, Giovanna; Agnoli, Claudia; Tumino, Rosario; Mattiello, Amalia; Peeters, Petra H; Weiderpass, Elisabete; Palmqvist, Richard; Ljuslinder, Ingrid; Gunter, Marc; Lu, Yunxia; Cross, Amanda J; Riboli, Elio; Vineis, Paolo; Aleksandrova, Krasimira.
Afiliación
  • Chuang SC; Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli County, 35053 Taiwan ; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Boeing H; Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
  • Vollset SE; Department of Public Health and Primary Health Care, University of Bergen, Bergen, Norway ; Division of Epidemiology, Norwegian Institute of Public Health, Bergen, Norway.
  • Midttun Ø; Bevital AS, Bergen, Norway.
  • Ueland PM; Department of Clinical Science, University of Bergen, Bergen, Norway ; Laboratory of Clinical Biochemistry, Haukeland University Hospital, Bergen, Norway.
  • Bueno-de-Mesquita B; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK ; The National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands ; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Nether
  • Lajous M; Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team, F-94805 Villejuif, France ; University of Paris Sud, UMRS 1018, F-94805 Villejuif, France ; IGR, F-94805, Villejuif, France.
  • Fagherazzi G; Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team, F-94805 Villejuif, France ; University of Paris Sud, UMRS 1018, F-94805 Villejuif, France ; IGR, F-94805, Villejuif, France.
  • Boutron-Ruault MC; Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health team, F-94805 Villejuif, France ; University of Paris Sud, UMRS 1018, F-94805 Villejuif, France ; IGR, F-94805, Villejuif, France.
  • Kaaks R; Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
  • Küehn T; Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
  • Pischon T; Molecular Epidemiology Group, Max Delbrueck Center for Molecular Medicine (MDC), Berlin-Buch, Germany.
  • Drogan D; Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
  • Tjønneland A; Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Overvad K; Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
  • Quirós JR; Public Health Directorate, Asturias, Oviedo Spain.
  • Agudo A; Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology-ICO, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Molina-Montes E; Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria de Granada (Granada.ibs), Granada, Spain ; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
  • Dorronsoro M; Epidemiology and Health Information, Public Health Division of Gipuzkoa, Basque Regional Health Department, San Sebastian, Spain.
  • Huerta JM; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain ; Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain.
  • Barricarte A; Navarre Public Health Institute, Pamplona, Spain.
  • Khaw KT; Clinical Gerontology Unit, Addenbrooke's Hospital, University of Cambridge School of Clinical Medicine, Cambridge, UK.
  • Wareham NJ; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
  • Travis RC; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Trichopoulou A; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK ; Hellenic Health Foundation, Athens, Greece.
  • Lagiou P; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece ; Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece ; Department of Epidemiology, Harvard School of Public Health, Boston, USA.
  • Trichopoulos D; Hellenic Health Foundation, Athens, Greece ; Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece.
  • Masala G; Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy.
  • Agnoli C; Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  • Tumino R; Cancer Registry and Histopathology Unit, "Civic - M.P. Arezzo" Hospital, ASP Ragusa, Italy.
  • Mattiello A; Dipartamento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.
  • Peeters PH; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK ; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Weiderpass E; Department of Community Medicine, Faculty of Health Sciences, University of Tromso, Tromsø, Norway ; Department of Research, Cancer Registry of Norway, Oslo, Norway ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ; Samfundet Folkhälsan, Helsinki, Finl
  • Palmqvist R; Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
  • Ljuslinder I; Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
  • Gunter M; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Lu Y; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Cross AJ; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Riboli E; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Vineis P; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Aleksandrova K; Nutrition, Immunity and Metabolism Start-up Lab, Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Immun Ageing ; 13: 5, 2016.
Article en En | MEDLINE | ID: mdl-26918023
ABSTRACT

BACKGROUND:

Increased serum neopterin had been described in older age two decades ago. Neopterin is a biomarker of systemic adaptive immune activation that could be potentially implicated in metabolic syndrome (MetS). Measurements of waist circumference, triglycerides, high-density lipoprotein cholesterol (HDLC), systolic and diastolic blood pressure, glycated hemoglobin as components of MetS definition, and plasma total neopterin concentrations were performed in 594 participants recruited in the European Prospective Investigation into Cancer and Nutrition (EPIC).

RESULTS:

Higher total neopterin concentrations were associated with reduced HDLC (9.7 %, p < 0.01 for men and 9.2 %, p < 0.01 for women), whereas no association was observed with the rest of the MetS components as well as with MetS overall (per 10 nmol/L OR = 1.42, 95 % CI = 0.85-2.39 for men and OR = 1.38, 95 % CI = 0.79-2.43).

CONCLUSIONS:

These data suggest that high total neopterin concentrations are cross-sectionally associated with reduced HDLC, but not with overall MetS.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Immun Ageing Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Immun Ageing Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido