Skip to main navigation menu Skip to main content Skip to site footer
×
Español (España) | English
Editorial
Home
Indexing
Systematic reviews or meta-analyses

Obesity: genetics and diagnostic biomarkers

By
Nicol Tatiana Navas Morales ,
Nicol Tatiana Navas Morales

Universidad Técnica de Ambato. Ambato, Ecuador

Search this author on:

PubMed | Google Scholar
Gabriela Paola Valenzuela Sánchez ,
Gabriela Paola Valenzuela Sánchez

Universidad Técnica de Ambato. Ambato, Ecuador

Search this author on:

PubMed | Google Scholar

Abstract

Introduction: Obesity is considered a public health problem and affects children, teenagers, and adults worldwide; the principal causes are bad diet, lack of exercise, and genetic factors, which can trigger multiple chronic diseases.
Objective: To understand the genetics of obesity and diagnostic biomarkers used in the clinical laboratory.
Methods: Google Scholar, Pubmed, SciELO, Dialnet, and ScienceDirect databases were used. We found 34 articles in English and Spanish that met the search criteria: genes, obesity, and diagnostic biomarkers, using articles 5-10 years old.
Results: The analysis of the different research describes some genes that are important factors for obesity; some genes are FTO, MC3R, MC4R, and POMC alterations are associated with obesity. However, there are measurable biomarkers in blood that help in its diagnosis, among them lipid profile, insulin, glucose, C-reactive protein, ghrelin, adiponectin, and leptin.
Conclusions: FTO was the first gene associated with obesity that has been described in several worldwide studies. In addition, the analysis of biomarkers in the clinical laboratory is vital in the diagnosis as it helps in treating or controlling this disease so that this pathology does not increase its incidence.

How to Cite

1.
Navas Morales NT, Valenzuela Sánchez GP. Obesity: genetics and diagnostic biomarkers. Salud, Ciencia y Tecnología [Internet]. 2023 Jul. 15 [cited 2024 Apr. 22];3:435. Available from: https://revista.saludcyt.ar/ojs/index.php/sct/article/view/435

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.