E M González-Gil1, C Cadenas-Sanchez2, J Santabárbara3, G Bueno-Lozano4, I Iglesia5, M González-Gross6, D Molnar7, F Gottrand8, S De Henauw9, A Kafatos10, K Widhalm11, Y Manios12, A Siani13, F Amaro-Gahete14, A I Rupérez15, D Cañada16, L Censi17, M Kersting18, J Dallongeville19, A Marcos20, F B Ortega21, L A Moreno22. 1. GENUD "Growth, Exercise, NUtrition and Development" Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Spain. Electronic address: esthergg@unizar.es. 2. PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Spain. 3. Department of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain. 4. Service of Pediatrics, Hospital Clínico Universitario "Lozano Blesa", Zaragoza, Spain. 5. GENUD "Growth, Exercise, NUtrition and Development" Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Spain; Red de Salud materno-infantil y del desarrollo (SAMID), Spain. 6. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Spain; ImFine Research Group, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain. 7. Department of Pediatrics, University of Pecs, Pecs, Hungary. 8. Univ Lille 2, INSERM U995, CHU-Lille, France. 9. Department of Public Health, Ghent University, Ghent, Belgium. 10. Preventive Medicine and Nutrition Unit, School of Medicine, University of Crete, Crete, Greece. 11. Department of Pediatrics, Division of Clinical Nutrition, Medical University of Vienna, Vienna, Austria. 12. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece. 13. Unit of Epidemiology and Population Genetics, Institute of Food Sciences, National Research Council, Avellino, Italy. 14. Department of Medical Physiology, School of Medicine, University of Granada, Granada, Spain. 15. GENUD "Growth, Exercise, NUtrition and Development" Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Spain. 16. ImFine Research Group, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain. 17. CREA (Council for Agricultural Research and Economics) - Research Center for Food and Nutrition, Rome, Italy. 18. Research Institute of Child Nutrition, Rheinische Friedrich-Wilhelms-University Bonn, Dortmund, Germany. 19. INSERM U1167, Institut Pasteur de Lille, Lille, France. 20. Immunonutrition Group, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Spain. 21. PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Spain; Department of Biosciences and Nutrition, Karolinska Institutet, Sweden. 22. GENUD "Growth, Exercise, NUtrition and Development" Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Spain.
Abstract
BACKGROUND AND AIMS: Inflammation may influence the cardio-metabolic profile which relates with the risk of chronic diseases. This study aimed to assess the inflammatory status by metabolic health (MH)/body mass index (BMI) category and to assess how inflammatory markers can predict the cardio-metabolic profile in European adolescents, considering BMI. METHODS AND RESULTS: A total of 659 adolescents (295 boys) from a cross-sectional European study were included. Adolescents were classified by metabolic health based on age- and sex-specific cut-off points for glucose, blood pressure, triglycerides, high density cholesterol and BMI. C-reactive protein (CRP), tumor necrosis factor alpha (TNF-α), interleukin (IL-6), complement factors (C3, C4) and cell adhesion molecules were assessed. RESULTS: Metabolically abnormal (MA) adolescents had higher values of C3 (p < 0.001) and C4 (p = 0.032) compared to those metabolically healthy (MHy). C3 concentrations significantly increased with the deterioration of the metabolic health and BMI (p < 0.001). Adolescents with higher values of CRP had higher probability of being in the overweight/obese-MH group than those allocated in other categories. Finally, high C3 and C4 concentrations increased the probability of having an unfavorable metabolic/BMI status. CONCLUSIONS: Metabolic/BMI status and inflammatory biomarkers are associated, being the CRP, C3 and C4 the most related inflammatory markers with this condition. C3 and C4 were associated with the cardio-metabolic health consistently.
BACKGROUND AND AIMS: Inflammation may influence the cardio-metabolic profile which relates with the risk of chronic diseases. This study aimed to assess the inflammatory status by metabolic health (MH)/body mass index (BMI) category and to assess how inflammatory markers can predict the cardio-metabolic profile in European adolescents, considering BMI. METHODS AND RESULTS: A total of 659 adolescents (295 boys) from a cross-sectional European study were included. Adolescents were classified by metabolic health based on age- and sex-specific cut-off points for glucose, blood pressure, triglycerides, high density cholesterol and BMI. C-reactive protein (CRP), tumor necrosis factor alpha (TNF-α), interleukin (IL-6), complement factors (C3, C4) and cell adhesion molecules were assessed. RESULTS: Metabolically abnormal (MA) adolescents had higher values of C3 (p < 0.001) and C4 (p = 0.032) compared to those metabolically healthy (MHy). C3 concentrations significantly increased with the deterioration of the metabolic health and BMI (p < 0.001). Adolescents with higher values of CRP had higher probability of being in the overweight/obese-MH group than those allocated in other categories. Finally, high C3 and C4 concentrations increased the probability of having an unfavorable metabolic/BMI status. CONCLUSIONS: Metabolic/BMI status and inflammatory biomarkers are associated, being the CRP, C3 and C4 the most related inflammatory markers with this condition. C3 and C4 were associated with the cardio-metabolic health consistently.
Authors: Jieyu Liu; Tao Ma; Manman Chen; Ying Ma; Yanhui Li; Di Gao; Qi Ma; Xinxin Wang; Li Chen; Yi Zhang; Yanhui Dong; Yi Song; Jun Ma Journal: Front Endocrinol (Lausanne) Date: 2022-08-25 Impact factor: 6.055
Authors: Sarah Louise Killeen; David F Byrne; Aisling A Geraghty; Mark T Kilbane; Patrick J Twomey; Malachi J McKenna; Cara A Yelverton; Radka Saldova; Douwe Van Sinderen; Paul D Cotter; Eileen F Murphy; Fionnuala M McAuliffe Journal: Ann Nutr Metab Date: 2022-03-18 Impact factor: 5.923
Authors: Valter Paulo Neves Miranda; Paulo Roberto Dos Santos Amorim; Ronaldo Rocha Bastos; Karina Lúcia Ribeiro Canabrava; Márcio Vidigal Miranda Júnior; Fernanda Rocha Faria; Sylvia do Carmo Castro Franceschini; Maria do Carmo Gouveia Peluzio; Silvia Eloiza Priore Journal: Mediators Inflamm Date: 2020-07-09 Impact factor: 4.711