Effect of Tomato Peel Extract Grown under Drought Stress Condition in a Sarcopenia Model.
Francesca FeliceMaria Michela CesareLuca FredianelliMarinella De LeoVeronica ContiAlessandra BracaRossella Di StefanoPublished in: Molecules (Basel, Switzerland) (2022)
Tomatoes and their derivates represent an important source of natural biologically active components. The present study aims to investigate the protective effect of tomato peel extracts, grown in normal (RED-Ctr) or in drought stress (RED-Ds) conditions, on an experimental model of sarcopenia. The phenolic profile and total polyphenols content (TPC) of RED-Ctr and RED-Ds were determined by Ultra High-Performance Liquid Chromatography (UHPLC) analyses coupled to electrospray ionization high-resolution mass spectrometry (ESI-HR-MS). Human skeletal muscle myoblasts (HSMM) were differentiated in myotubes, and sarcopenia was induced by dexamethasone (DEXA) treatment. Differentiation and sarcopenia were evaluated by both real-time PCR and immunofluorescent techniques. Data show that myosin heavy chain 2 (MYH2), troponin T (TNNT1), and miogenin (MYOG) were expressed in differentiated myotubes. 5 μg Gallic Acid Equivalent (GAE/mL) of TPC from RED-Ds extract significantly reduced muscle atrophy induced by DEXA. Moreover, Forkhead BoxO1 (FOXO1) expression, involved in cell atrophy, was significantly decreased by RED-Ds extract. The protective effect of tomato peel extracts depended on their qualitative polyphenolic composition, resulting effectively in the in vitro model of sarcopenia.
Keyphrases
- skeletal muscle
- high resolution mass spectrometry
- ultra high performance liquid chromatography
- ms ms
- tandem mass spectrometry
- liquid chromatography
- oxidative stress
- insulin resistance
- mass spectrometry
- community dwelling
- endothelial cells
- transcription factor
- simultaneous determination
- multiple sclerosis
- systematic review
- real time pcr
- gas chromatography
- poor prognosis
- high dose
- metabolic syndrome
- high resolution
- machine learning
- electronic health record
- bone marrow
- smoking cessation
- left ventricular
- artificial intelligence