The Role of Molecular and Hormonal Factors in Obesity and the Effects of Physical Activity in Children.
Jerónimo Aragón VelaJesús Alcalá-Bejarano CarrilloAurora Moreno-RaceroJulio Plaza-DíazPublished in: International journal of molecular sciences (2022)
Obesity and overweight are defined as abnormal fat accumulations. Adipose tissue consists of more than merely adipocytes; each adipocyte is closely coupled with the extracellular matrix. Adipose tissue stores excess energy through expansion. Obesity is caused by the abnormal expansion of adipose tissue as a result of adipocyte hypertrophy and hyperplasia. The process of obesity is controlled by several molecules, such as integrins, kindlins, or matrix metalloproteinases. In children with obesity, metabolomics studies have provided insight into the existence of unique metabolic profiles. As a result of low-grade inflammation in the system, abnormalities were observed in several metabolites associated with lipid, carbohydrate, and amino acid pathways. In addition, obesity and related hormones, such as leptin, play an instrumental role in regulating food intake and contributing to childhood obesity. The World Health Organization states that physical activity benefits the heart, the body, and the mind. Several noncommunicable diseases, such as cardiovascular disease, cancer, and diabetes, can be prevented and managed through physical activity. In this work, we reviewed pediatric studies that examined the molecular and hormonal control of obesity and the influence of physical activity on children with obesity or overweight. The purpose of this review was to examine some orchestrators involved in this disease and how they are related to pediatric populations. A larger number of randomized clinical trials with larger sample sizes and long-term studies could lead to the discovery of new key molecules as well as the detection of significant factors in the coming years. In order to improve the health of the pediatric population, omics analyses and machine learning techniques can be combined in order to improve treatment decisions.
Keyphrases
- mental health
- insulin resistance
- adipose tissue
- weight loss
- physical activity
- high fat diet induced
- metabolic syndrome
- type diabetes
- weight gain
- cardiovascular disease
- high fat diet
- polycystic ovary syndrome
- low grade
- body mass index
- machine learning
- skeletal muscle
- extracellular matrix
- fatty acid
- young adults
- heart failure
- high throughput
- depressive symptoms
- public health
- amino acid
- glycemic control
- healthcare
- artificial intelligence
- papillary thyroid
- deep learning
- atrial fibrillation
- climate change
- ms ms
- single molecule
- coronary artery disease
- combination therapy
- squamous cell