Nutrition, Bioenergetics, and Metabolic Syndrome.
Francesc Josep García-GarcíaAnna Monistrol-MulaFrancesc CardellachGloria GarrabouPublished in: Nutrients (2020)
According to the World Health Organization (WHO), the global nutrition report shows that whilst part of the world's population starves, the other part suffers from obesity and associated complications. A balanced diet counterparts these extreme conditions with the proper proportion, composition, quantity, and presence of macronutrients, micronutrients, and bioactive compounds. However, little is known on the way these components exert any influence on our health. These nutrients aiming to feed our bodies, our tissues, and our cells, first need to reach mitochondria, where they are decomposed into CO2 and H2O to obtain energy. Mitochondria are the powerhouse of the cell and mainly responsible for nutrients metabolism, but they are also the main source of oxidative stress and cell death by apoptosis. Unappropriated nutrients may support mitochondrial to become the Trojan horse in the cell. This review aims to provide an approach to the role that some nutrients exert on mitochondria as a major contributor to high prevalent Western conditions including metabolic syndrome (MetS), a constellation of pathologic conditions which promotes type II diabetes and cardiovascular risk. Clinical and experimental data extracted from in vitro animal and cell models further demonstrated in patients, support the idea that a balanced diet, in a healthy lifestyle context, promotes proper bioenergetic and mitochondrial function, becoming the best medicine to prevent the onset and progression of MetS. Any advance in the prevention and management of these prevalent complications help to face these challenging global health problems, by ameliorating the quality of life of patients and reducing the associated sociosanitary burden.
Keyphrases
- metabolic syndrome
- cell death
- oxidative stress
- physical activity
- end stage renal disease
- cell cycle arrest
- single cell
- weight loss
- type diabetes
- induced apoptosis
- ejection fraction
- newly diagnosed
- global health
- insulin resistance
- cardiovascular disease
- public health
- mental health
- prognostic factors
- cell therapy
- chronic kidney disease
- risk factors
- gene expression
- healthcare
- peritoneal dialysis
- reactive oxygen species
- endoplasmic reticulum stress
- ischemia reperfusion injury
- risk assessment
- signaling pathway
- adipose tissue
- artificial intelligence
- machine learning
- body mass index
- squamous cell carcinoma
- deep learning
- endoplasmic reticulum
- south africa
- patient reported
- rectal cancer
- lymph node
- human health
- heat shock protein