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Abstract
In this thematic issue on phenotyping the obesities, prominent international experts offer an insightful and comprehensive collection of articles covering the current knowledge in the field. In order to actually capture all the polyhedral determinants of the diverse types of obesity, the granularity of the phenotypic information acquired must be expanded in the context of a personalized approach. Whilst the use of precision medicine has been successfully implemented in areas like cancer and other diseases, health care providers are more reluctant to embrace detailed phenotyping to guide diagnosis, treatment and prevention in obesity. Given its multiple complex layers, phenotyping necessarily needs to go beyond the multi-omics approach and incorporate all the diverse spheres that conform the reality of people living with obesity. Potential barriers, difficulties, roadblocks and opportunities together with their interaction in a syndemic context are analyzed. Plausible lacunae are also highlighted in addition to pointing to the need of redefining new conceptual frameworks. Therefore, this extraordinary collection of state-ofthe-art reviews provides useful information to both experienced clinicians and trainees as well as academics to steer clinical practice and research in the management of people living with obesity irrespective of practice setting or career stage.
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1 Clinica Medica “A. Murri”, University of Bari Medical School, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), Bari, Italy (GRID:grid.7644.1) (ISNI:0000 0001 0120 3326)
2 Clínica Universidad de Navarra, Department of Endocrinology and Nutrition, Pamplona, Spain (GRID:grid.411730.0) (ISNI:0000 0001 2191 685X); Clínica Universidad de Navarra, Metabolic Research Laboratory, Pamplona, Spain (GRID:grid.411730.0) (ISNI:0000 0001 2191 685X); Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Pamplona, Spain (GRID:grid.484042.e) (ISNI:0000 0004 5930 4615); Navarra Institute for Health Research, IdiSNA, Pamplona, Spain (GRID:grid.508840.1) (ISNI:0000 0004 7662 6114)