Open AccessObesity subtypes, related biomarkers & heterogeneity
Author(s) -
Laura Mayoral,
Gabriel Mayoral-Andrade,
Eduardo Pérez-Campos Mayoral,
María Teresa Hernández-Huerta,
Socorro Pina Canseco,
Francisco Javier Rodal Canales,
Héctor A. Cabrera-Fuentes,
Margarito Martínez Cruz,
A. D. Santiago,
Juan Alpuche,
Edgar Zenteno,
Héctor Martínez Ruíz,
Raymundo Cruz,
Julia Hernández Jerónimo,
Eduardo Pérez-Campos
Publication year - 2020
Publication title -
indian journal of medical research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 87
ISSN - 0971-5916
DOI - 10.4103/ijmr.ijmr_1768_17
Subject(s) - obesity , medicine , environmental health , bioinformatics , biology
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.