TY - JOUR
T1 - Established and Emerging Biomarkers to Characterize Persons at Risk for Obesity—Paving the Way for Targeted Clinical Intervention Trials—A Comprehensive Position Paper
AU - Vahid, Farhad
AU - Stopa, Victoria
AU - Malisoux, Laurent
AU - Devaux, Yvan
AU - Lamy, Elsa
AU - Silva, Fernando Capela e.
AU - Forberger, Sarah
AU - de Magistris, Tiziana
AU - Sureda, Antoni
AU - Monserrat-Mesquida, Margalida
AU - Pérez-Jiménez, Maria
AU - Nagrani, Rajini
AU - Onorati, Maria Giovanna
AU - Fontefrancesco, Michele Filippo
AU - Turner, Jonathan
AU - Desai, Mahesh S.
AU - Tur, Josep
AU - Bouzas, Cristina
AU - Bonetti, Gino Gabriel
AU - Riedel, Oliver
AU - Ravn-Haren, Gitte
AU - Andersen, Rikke
AU - Bohn, Torsten
N1 - Publisher Copyright:
© 2026 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.
PY - 2026/7/27
Y1 - 2026/7/27
N2 - Despite all efforts, obesity remains a major health concern worldwide, with continuously increasing rates, affecting approx. 14% of the total world population, being as high as 43% in some countries. As obesity is related to numerous comorbidities, including type 2 diabetes, cardiovascular diseases, and some types of cancer, the consequences for the individual and society at large are drastic. Therefore, it is crucial to understand and predict who is at risk of developing obesity in order to implement early prevention strategies. Many individual risk factors have been emphasized. However, as obesity is a rather multifactorial complication, single markers/biomarkers have thus far not allowed for an efficient prediction of obesity. In addition to less modifiable parameters, such as environment and socio-demographics, studies have revealed that obesity is related to several interacting aspects, including host factors such as genetics/epigenetics or gut microbiota, and more readily modifiable factors, including nutrition and physical activity, as well as sleep patterns and psychological well-being. It is likely that combining markers from across different domains, that is, multimodal markers, allows for better predictability for the risk of developing obesity. However, it must be considered that not all markers are fully predictive; many are rather reactive or even both. In this review and position paper, we emphasize the state-of-the-art regarding (bio)markers that have successfully been employed for predicting obesity risk. An emphasis will rest on novel, emerging biomarkers, and the need for a more integrative, multimodal assessment of obesity risk for a combined assessment aimed at improving risk prediction.
AB - Despite all efforts, obesity remains a major health concern worldwide, with continuously increasing rates, affecting approx. 14% of the total world population, being as high as 43% in some countries. As obesity is related to numerous comorbidities, including type 2 diabetes, cardiovascular diseases, and some types of cancer, the consequences for the individual and society at large are drastic. Therefore, it is crucial to understand and predict who is at risk of developing obesity in order to implement early prevention strategies. Many individual risk factors have been emphasized. However, as obesity is a rather multifactorial complication, single markers/biomarkers have thus far not allowed for an efficient prediction of obesity. In addition to less modifiable parameters, such as environment and socio-demographics, studies have revealed that obesity is related to several interacting aspects, including host factors such as genetics/epigenetics or gut microbiota, and more readily modifiable factors, including nutrition and physical activity, as well as sleep patterns and psychological well-being. It is likely that combining markers from across different domains, that is, multimodal markers, allows for better predictability for the risk of developing obesity. However, it must be considered that not all markers are fully predictive; many are rather reactive or even both. In this review and position paper, we emphasize the state-of-the-art regarding (bio)markers that have successfully been employed for predicting obesity risk. An emphasis will rest on novel, emerging biomarkers, and the need for a more integrative, multimodal assessment of obesity risk for a combined assessment aimed at improving risk prediction.
KW - diet and health
KW - gut microbiome
KW - multimodal biomarkers
KW - multiomics
KW - obesogenic environment
KW - predictive vs. reactive markers
KW - sedentary behavior
KW - socio-cultural variables
UR - https://www.scopus.com/pages/publications/105045956845
U2 - 10.1111/obr.70175
DO - 10.1111/obr.70175
M3 - Review article
AN - SCOPUS:105045956845
SN - 1467-7881
JO - Obesity Reviews
JF - Obesity Reviews
ER -