Title |
Cellular immune activity biomarker neopterin is associated hyperlipidemia: results from a large population-based study
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Published in |
Immunity & Ageing, February 2016
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DOI | 10.1186/s12979-016-0059-y |
Pubmed ID | |
Authors |
Shu-Chun Chuang, Heiner Boeing, Stein Emil Vollset, Øivind Midttun, Per Magne Ueland, Bas Bueno-de-Mesquita, Martin Lajous, Guy Fagherazzi, Marie-Christine Boutron-Ruault, Rudolf Kaaks, Tilman Küehn, Tobias Pischon, Dagmar Drogan, Anne Tjønneland, Kim Overvad, J Ramón Quirós, Antonio Agudo, Esther Molina-Montes, Miren Dorronsoro, José María Huerta, Aurelio Barricarte, Kay-Tee Khaw, Nicholas J. Wareham, Ruth C. Travis, Antonia Trichopoulou, Pagona Lagiou, Dimitrios Trichopoulos, Giovanna Masala, Claudia Agnoli, Rosario Tumino, Amalia Mattiello, Petra H Peeters, Elisabete Weiderpass, Richard Palmqvist, Ingrid Ljuslinder, Marc Gunter, Yunxia Lu, Amanda J. Cross, Elio Riboli, Paolo Vineis, Krasimira Aleksandrova |
Abstract |
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). 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). These data suggest that high total neopterin concentrations are cross-sectionally associated with reduced HDLC, but not with overall MetS. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 67% |
United Kingdom | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 30% |
Student > Bachelor | 6 | 14% |
Professor | 4 | 9% |
Student > Ph. D. Student | 3 | 7% |
Student > Master | 3 | 7% |
Other | 5 | 11% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 32% |
Biochemistry, Genetics and Molecular Biology | 4 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Chemistry | 2 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 5 | 11% |
Unknown | 16 | 36% |