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REVIEW ARTICLE
Year : 2020  |  Volume : 151  |  Issue : 1  |  Page : 11-21

Obesity subtypes, related biomarkers & heterogeneity


1 Research Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico
2 CONACyT-Faculty of Medicine, Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico
3 Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore; Institute of Biochemistry, Medical School, Justus-Liebig University, Giessen, Germany
4 National Technological Institute of Mexico, ITOaxaca, Oaxaca, Mexico
5 National Technological Institute of Mexico, ITOaxaca; Clinical Pathology Laboratory ‘Dr. Eduardo Pérez Ortega' Oaxaca, Mexico

Correspondence Address:
Dr Eduardo Perez-Campos
National Technological Institute of Mexico, ITOaxaca, Oaxaca
Mexico
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmr.IJMR_1768_17

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Obesity is a serious medical condition worldwide, which needs new approaches and recognized international consensus in treating diseases leading to morbidity. The aim of this review was to examine heterogeneous links among the various phenotypes of obesity in adults. Proteins and associated genes in each group were analysed to differentiate between biomarkers. A variety of terms for classification and characterization within this pathology are currently in use; however, there is no clear consensus in terminology. The most significant groups reviewed include metabolically healthy obese, metabolically abnormal obese, metabolically abnormal, normal weight and sarcopenic obese. These phenotypes do not define particular genotypes or epigenetic gene regulation, or proteins related to inflammation. There are many other genes linked to obesity, though the value of screening all of those for diagnosis has low predictive results, as there are no significant biomarkers. It is important to establish a consensus in the terminology used and the characteristics attributed to obesity subtypes. The identification of specific molecular biomarkers is also required for better diagnosis in subtypes of obesity.


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