In Silico and In Vivo Evaluation of the Maqui Berry ( Aristotelia chilensis (Mol.) Stuntz) on Biochemical Parameters and Oxidative Stress Markers in a Metabolic Syndrome Model.
Emily Leonela Castillo-GarcíaAna Lizzet Cossio-RamírezÓscar Arturo Córdoba-MéndezMarco Antonio Loza-MejíaJuan Rodrigo SalazarEdwin Chávez-GutiérrezGuadalupe Bautista-PobletNadia Tzayaka Castillo-MendietaDiego A MorenoCristina García-VigueraRodolfo Pinto-AlmazánJulio Cesar Almanza-PérezJuan Manuel GallardoChristian Guerra-AraizaPublished in: Metabolites (2023)
Metabolic syndrome (MetS) is a complex disease that includes metabolic and physiological alterations in various organs such as the heart, pancreas, liver, and brain. Reports indicate that blackberry consumption, such as maqui berry, has a beneficial effect on chronic diseases such as cardiovascular disease, obesity, and diabetes. In the present study, in vivo and in silico studies have been performed to evaluate the molecular mechanisms implied to improve the metabolic parameters of MetS. Fourteen-day administration of maqui berry reduces weight gain, blood fasting glucose, total blood cholesterol, triacylglycerides, insulin resistance, and blood pressure impairment in the diet-induced MetS model in male and female rats. In addition, in the serum of male and female rats, the administration of maqui berry (MB) improved the concentration of MDA, the activity of SOD, and the formation of carbonyls in the group subjected to the diet-induced MetS model. In silico studies revealed that delphinidin and its glycosylated derivatives could be ligands of some metabolic targets such as α-glucosidase, PPAR-α, and PPAR-γ, which are related to MetS parameters. The experimental results obtained in the study suggest that even at low systemic concentrations, anthocyanin glycosides and aglycones could simultaneously act on different targets related to MetS. Therefore, these molecules could be used as coadjuvants in pharmacological interventions or as templates for designing new multitarget molecules to manage patients with MetS.
Keyphrases
- insulin resistance
- metabolic syndrome
- weight gain
- cardiovascular disease
- type diabetes
- blood pressure
- molecular docking
- oxidative stress
- adipose tissue
- high fat diet
- body mass index
- high fat diet induced
- polycystic ovary syndrome
- skeletal muscle
- weight loss
- heart failure
- glycemic control
- cardiovascular risk factors
- birth weight
- physical activity
- white matter
- fatty acid
- resting state
- cell proliferation
- functional connectivity
- breast cancer cells
- induced apoptosis
- cardiovascular events
- coronary artery disease
- amyotrophic lateral sclerosis
- molecular dynamics simulations
- single cell
- signaling pathway