Abstract
Riboflavin deficiency is widespread in many regions over the world, especially in underdeveloped countries. In this study, we investigated the effects of riboflavin deficiency on protein expression profiles in HepG2 cells in order to provide molecular information for the abnormalities induced by riboflavin deficiency. HepG2 cells were cultured in media containing different concentrations of riboflavin. Changes of cell viability and apoptosis were assessed. A comparative proteomic analysis was performed using a label-free shotgun method with LC–MS/MS to investigate the global changes of proteomic profiles in response to riboflavin deficiency. Immunoblotting test was used to validate the results of proteomic approach. The cell viability and apoptosis tests showed that riboflavin was vital in maintaining the cytoactivity of HepG2 cells. The label-free proteomic analysis revealed that a total of 37 proteins showing differential expression (±2 fold, p < 0.05) were identified after riboflavin deficiency. Bioinformatics analysis indicated that the riboflavin deficiency caused an up-regulation of Parkinson’s disease pathway, steroid catabolism, endoplasmic reticulum stress and apoptotic process, while the fatty acid metabolism, tricarboxylic citrate cycle, oxidative phosphorylation and iron metabolism were down-regulated. These findings provide a molecular basis for the elucidation of the effects caused by riboflavin deficiency.
Highlights
Profiles in HepG2 cells in response to riboflavin deficiency
The concentration of riboflavin in the medium should be lower than 12.76 nmol/L in order to induce a significant change in cell viability and apoptosis
The activity of glutathione reductase, a sensitive marker for riboflavin status, was decreased significantly when the cells were cultured in the riboflavin deficient media (Fig. 1c), indicating that riboflavin deficiency was successfully developed
Summary
The objective of this study is to further provide information for the effects of riboflavin deficiency and the underlying mechanisms using a proteomic approach
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