Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
Rikke Andersen,
Josep A Tur,
Coralie Dessenne,
Farhad Vahid,
Cristina Bouzas,
Yvan Devaux,
Margalida Monserrat-Mesquida,
Antoni Sureda,
Mahesh S Desai,
Jonathan D Turner,
Elsa Lamy,
Maria Perez-Jimenez,
Gitte Ravn-Haren,
Rajini Nagrani,
Yacine Ouzzahra,
Michele Filippo Fontefrancesco,
Maria Giovanna Onorati,
Gino Gabriel Bonetti
Affiliations
Rikke Andersen
Technical University of Denmark, Kongens Lyngby, Denmark
Josep A Tur
Research Group in Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, IdISBa & CIBEROBN (ISCIII), Palma de Mallorca, Spain
Coralie Dessenne
2 Science Office, Luxembourg Institute of Health, Strassen, Luxembourg
Farhad Vahid
1 Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Cristina Bouzas
Research Group in Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, IdISBa & CIBEROBN (ISCIII), Palma de Mallorca, Spain
Yvan Devaux
Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Margalida Monserrat-Mesquida
Research Group in Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, IdISBa & CIBEROBN (ISCIII), Palma de Mallorca, Spain
Antoni Sureda
Research Group in Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, IdISBa & CIBEROBN (ISCIII), Palma de Mallorca, Spain
Mahesh S Desai
Department of Infection and Immunity, Luxembourg Institute of Health, Esch sur Alzette, Luxembourg
Jonathan D Turner
Department of Infection and Immunity, Luxembourg Institute of Health, Esch sur Alzette, Luxembourg
Elsa Lamy
MED-Mediterranean Institute for Agriculture, Environment and Development & CHANGE-Global Change and Sustainability InstituteUniversity of Évora, Evora, Portugal, Evora, Portugal
Maria Perez-Jimenez
MED-Mediterranean Institute for Agriculture, Environment and Development & CHANGE-Global Change and Sustainability InstituteUniversity of Évora, Evora, Portugal, Evora, Portugal
Gitte Ravn-Haren
Technical University of Denmark, Kongens Lyngby, Denmark
Rajini Nagrani
Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
Yacine Ouzzahra
Science Office, Luxembourg Institute of Health, Strassen, Luxembourg
Michele Filippo Fontefrancesco
University of Gastronomic Sciences, Pollenzo, Italy
Maria Giovanna Onorati
University of Gastronomic Sciences, Pollenzo, Italy
Gino Gabriel Bonetti
University of Gastronomic Sciences, Pollenzo, Italy
Introduction Despite international efforts, the number of individuals struggling with obesity is still increasing. An important aspect of obesity prevention relates to identifying individuals at risk at early stage, allowing for timely risk stratification and initiation of countermeasures. However, obesity is complex and multifactorial by nature, and one isolated (bio)marker is unlikely to enable an optimal risk stratification and prognosis for the individual; rather, a combined set is required. Such a multicomponent interpretation would integrate biomarkers from various domains, such as classical markers (eg, anthropometrics, blood lipids), multiomics (eg, genetics, proteomics, metabolomics), lifestyle and behavioural attributes (eg, diet, physical activity, sleep patterns), psychological traits (mental health status such as depression) and additional host factors (eg, gut microbiota diversity), also by means of advanced interpretation tools such as machine learning. In this paper, we will present a protocol that will be employed for a scoping review that attempts to summarise and map the state-of-the-art in the area of multicomponent (bio)markers related to obesity, focusing on the usability and effectiveness of such biomarkers.Methods and analysis PubMed, Scopus, CINAHL and Embase databases will be searched using predefined key terms to identify peer-reviewed articles published in English until January 2024. Once downloaded into EndNote for deduplication, CADIMA will be employed to review and select abstracts and full-text articles in a two-step procedure, by two independent reviewers. Data extraction will then be carried out by several independent reviewers. Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and Peer Review of Electronic Search Strategies guidelines will be followed. Combinations employing at least two biomarkers from different domains will be mapped and discussed.Ethics and dissemination Ethical approval is not required; data will rely on published articles. Findings will be published open access in an international peer-reviewed journal. This review will allow guiding future directions for research and public health strategies on obesity prevention, paving the way towards multicomponent interventions.
