Indian Journal of Medical Research

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

Obesity subtypes, related biomarkers & heterogeneity


Laura Perez-Campos Mayoral1, Gabriel Mayoral Andrade1, Eduardo Perez-Campos Mayoral1, Teresa Hernandez Huerta2, Socorro Pina Canseco1, Francisco J Rodal Canales1, Héctor Alejandro Cabrera-Fuentes3, Margarito Martinez Cruz4, Alma Dolores Pérez Santiago4, Juan José Alpuche1, Edgar Zenteno1, Hector Martínez Ruíz1, Ruth Martínez Cruz1, Julia Hernandez Jeronimo1, Eduardo Perez-Campos5 
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

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.


How to cite this article:
Mayoral LP, Andrade GM, Mayoral EP, Huerta TH, Canseco SP, Rodal Canales FJ, Cabrera-Fuentes HA, Cruz MM, Pérez Santiago AD, Alpuche JJ, Zenteno E, Ruíz HM, Cruz RM, Jeronimo JH, Perez-Campos E. Obesity subtypes, related biomarkers & heterogeneity.Indian J Med Res 2020;151:11-21


How to cite this URL:
Mayoral LP, Andrade GM, Mayoral EP, Huerta TH, Canseco SP, Rodal Canales FJ, Cabrera-Fuentes HA, Cruz MM, Pérez Santiago AD, Alpuche JJ, Zenteno E, Ruíz HM, Cruz RM, Jeronimo JH, Perez-Campos E. Obesity subtypes, related biomarkers & heterogeneity. Indian J Med Res [serial online] 2020 [cited 2020 Apr 5 ];151:11-21
Available from: http://www.ijmr.org.in/article.asp?issn=0971-5916;year=2020;volume=151;issue=1;spage=11;epage=21;aulast=Mayoral;type=0