Regulatory Action of Plasma from Patients with Obesity and Diabetes towards Muscle Cells Differentiation and Bioenergetics Revealed by the C2C12 Cell Model and MicroRNA Analysis.
Natalya V KhromovaAnton V FedorovYi MaKirill A KondratovStanislava S PrikhodkoElena V IgnatievaMarina S ArtemyevaAnna D AnopovaAleksandr E NeimarkAnna A KostarevaAlina Yu BabenkoRenata I DmitrievaPublished in: Biomolecules (2021)
Obesity and type 2 diabetes mellitus (T2DM) are often combined and pathologically affect many tissues due to changes in circulating bioactive molecules. In this work, we evaluated the effect of blood plasma from obese (OB) patients or from obese patients comorbid with diabetes (OBD) on skeletal muscle function and metabolic state. We employed the mouse myoblasts C2C12 differentiation model to test the regulatory effect of plasma exposure at several levels: (1) cell morphology; (2) functional activity of mitochondria; (3) expression levels of several mitochondria regulators, i.e., Atgl, Pgc1b, and miR-378a-3p. Existing databases were used to computationally predict and analyze mir-378a-3p potential targets. We show that short-term exposure to OB or OBD patients' plasma is sufficient to affect C2C12 properties. In fact, the expression of genes that regulate skeletal muscle differentiation and growth was downregulated in both OB- and OBD-treated cells, maximal mitochondrial respiration rate was downregulated in the OBD group, while in the OB group, a metabolic switch to glycolysis was detected. These alterations correlated with a decrease in ATGL and Pgc1b expression in the OB group and with an increase of miR-378a-3p levels in the OBD group.
Keyphrases
- skeletal muscle
- type diabetes
- insulin resistance
- end stage renal disease
- poor prognosis
- obese patients
- newly diagnosed
- metabolic syndrome
- weight loss
- induced apoptosis
- ejection fraction
- chronic kidney disease
- glycemic control
- transcription factor
- bariatric surgery
- cardiovascular disease
- cell cycle arrest
- cell death
- gene expression
- adipose tissue
- oxidative stress
- physical activity
- genome wide
- prognostic factors
- dna methylation
- body mass index
- cell proliferation
- reactive oxygen species
- mesenchymal stem cells
- cell therapy
- binding protein
- long non coding rna
- machine learning
- blood pressure
- patient reported outcomes
- climate change
- risk assessment
- data analysis
- human health