ArticleTherapeutic advances in endocrinology and metabolism2019
Genetic and nongenetic factors explaining metabolically healthy and unhealthy phenotypes in participants with excessive adiposity: relevance for personalized nutrition.
Article in Therapeutic advances in endocrinology and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype.BMC medical genomics · 2025Article
- Association of Genetic, Environmental, and Nutritional Factors With Metabolic Phenotypes of Obesity: A Scoping Review.Journal of obesity · 2025Article
- The association between white blood cell counts and metabolic health obesity among US adults.Frontiers in nutrition · 2025Article
- Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review.JMIR research protocols · 2024Article
- Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning.Frontiers in endocrinology · 2023Article
- Evaluation of the predictive value of different dietary antioxidant capacity assessment methods on healthy and unhealthy phenotype in overweight and obese women.Journal of diabetes and metabolic disorders · 2022Article
- Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss.Nutrition & metabolism · 2022Article
- The Interaction Between Dietary Total Antioxidant Capacity and MC4R Gene and HOMA-IR in Metabolically Healthy and Unhealthy Overweight and Obese Women.Nutrition and metabolic insights · 2022Article
- Wrist circumference as a novel predictor of transition from metabolically healthy to unhealthy phenotype in overweight/obese adults: a gender-stratified 15.5-year follow-up.BMC public health · 2021Article
- Positive Association between Indoor Gaseous Air Pollution and Obesity: An Observational Study in 60 Households.International journal of environmental research and public health · 2021Observational
- Bariatric Surgery Outcomes in Patients with Latent Autoimmune Diabetes of the Adult.Obesity facts · 2021Article
- The Association of Obesity with Autoimmune Thyroiditis and Thyroid Function-Possible Mechanisms of Bilateral Interaction.International journal of endocrinology · 2020Review
- Interplay of an Obesity-Based Genetic Risk Score with Dietary and Endocrine Factors on Insulin Resistance.Nutrients · 2019Article
- A Review of the Role of the Gut Microbiome in Personalized Sports Nutrition.Frontiers in nutrition · 2019Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDifferent genetic and environmental factors can explain the heterogeneity of obesity-induced metabolic alterations between individuals. In this study, we aimed to screen factors that predict metabolically healthy (MHP) and unhealthy (MUP) phenotypes using genetic and lifestyle data in overweight/obese participants.
methodsIn this cross-sectional study we enrolled 298 overweight/obese Spanish adults. The Adult Treatment Panel III criteria for metabolic syndrome were used to categorize MHP (at most, one trait) and MUP (more than one feature). Blood lipid and inflammatory profiles were measured by standardized methods. Body composition was determined by dual-energy X-ray absorptiometry. A total of 95 obesity-predisposing single-nucleotide polymorphisms (SNPs) were genotyped by a predesigned next-generation sequencing system. SNPs associated with a MUP were used to compute a weighted genetic-risk score (wGRS). Information concerning lifestyle (dietary intake and physical activity level) was collected using validated questionnaires.
resultsThe prevalence of MHP and MUP was 44.3% and 55.7%, respectively, in this sample. Overall, 12 obesity-related genetic variants were associated with the MUP. Multiple logistic regression analyses revealed that wGRS (OR = 4.133,
conclusionsThe genetic background is an important factor explaining MHP and MUP related to obesity, in addition to lifestyle variables. This information could be useful to metabolically categorize individuals, as well as for the design/implementation of personalized nutrition interventions aimed at promoting metabolic health and nutritional wellbeing.
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