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Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort

Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort


Title: Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort
Author: Hernandes, Vinicius Verri
Dordevic, Nikola
Hantikainen, Essi Marjatta
Sigurðsson, Baldur Bragi
Smárason, Sigurður Vidir
Garcia-Larsen, Vanessa
Gögele, Martin
Caprioli, Giulia
Bozzolan, Ilaria
Pramstaller, Peter P.
... 1 more authors Show all authors
Date: 2022-03
Language: English
Scope:
University/Institute: Landspitali - The National University Hospital of Iceland
Series: Metabolites; 12(3)
ISSN: 2218-1989
DOI: https://doi.org/10.3390/metabo12030205
Subject: Lífefna- og sameindalíffræði; Efnaskipti; Mataræði; Aging; Body mass index; Diet; Gender differences; Menopause; Metabolomics; Endocrinology, Diabetes and Metabolism; Biochemistry; Molecular Biology
URI: https://hdl.handle.net/20.500.11815/3173

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Citation:

Hernandes , V V , Dordevic , N , Hantikainen , E M , Sigurðsson , B B , Smárason , S V , Garcia-Larsen , V , Gögele , M , Caprioli , G , Bozzolan , I , Pramstaller , P P & Rainer , J 2022 , ' Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort ' , Metabolites , vol. 12 , no. 3 , 205 . https://doi.org/10.3390/metabo12030205

Abstract:

Metabolomics in human serum samples provide a snapshot of the current metabolic state of an individuum. Metabolite concentrations are influenced by both genetic and environmental factors. Concentrations of certain metabolites can further depend on age, sex, menopause, and diet of study participants. A better understanding of these relationships is pivotal for the planning of metabolomics studies involving human subjects and interpretation of their results. We generated one of the largest single-site targeted metabolomics data sets consisting of 175 quantified metabolites in 6872 study participants. We identified metabolites significantly associated with age, sex, body mass index, diet, and menopausal status. While most of our results agree with previous large-scale studies, we also found novel associations including serotonin as a sex and BMI-related metabolite and sarcosine and C2 carnitine showing significantly higher concentrations in post-menopausal women. Finally, we observed strong associations between higher consumption of food items and certain metabolites, mostly phosphatidylcholines and lysophosphatidylcholines. Most, and the strongest, relationships were found for habitual meat intake while no significant relationships were found for most fruits, vegetables, and grain products. Summarizing, our results reconfirm findings from previous population-based studies on an independent cohort. Together, these findings will ultimately enable the consolidation of sets of metabolites which are related to age, sex, BMI, and menopause as well as to participants’ diet.

Description:

Funding Information: Acknowledgments: The CHRIS study is a collaborative effort between the Eurac Research Institute for Biomedicine and the Healthcare System of the Autonomous Province of Bozen/Bolzano (SüdtirolerSanitätsbetrieb/Azienda Sanitaria dell’Alto Adige). We thank Vanessa Garcia-Larsen (Johns Hopkins School of Public Health) and Peter Burney (Imperial College London) for allowing implementation of the GA2LEN FFQ in the CHRIS study, sharing knowledge, and supervising its implementation. Investigators thank all CHRIS study participants, the general practitioners, the study teams of the CHRIS center at the Hospital of Schlanders/Silandro and of the CHRIS Biobank for their support and collaboration. The CHRIS biobank was assigned the “Bioresource Research Impact Factor” (BRIF) code BRIF6107. The CHRIS study is funded by the Department of Innovation, Research and University of the Autonomous Province of Bozen/Bolzano. The authors thank the Department of Innovation, Research and University of the Autonomous Province of Bozen/Bolzano for covering the Open Access publication costs. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

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