Introduction:
Hypercholesterolemia is a high incidence disease in developed and under developing societies. Natural products are becoming more popular for treatment of hyperlipidemia as alternatives or complementary medicines [1]. But the mechanisms of action of most of natural products are not clear yet. Recent studies shows that systems biology approaches and Omics techniques could better decipher mechanism of action of natural products. In this study we aimed to find mechanism of action of herbal remedies which used commonly for hyperlipidemia by using quantitative MS-based proteomics.

Materials and methods:
Hydroalcoholic extracts from 10 medicinal plant species were prepared and dried. The extracts were dissolved in DMSO and added to Hela and Huh7 cells (2ug/ml). The cells were harvested 48 hours after treatment and proteins digested into peptides. The samples were measured by selective reaction monitoring (SRM) [2] and 45 proteins involved in control of lipid metabolism were quantified. Analysis was performed with Skyline and MSstats and from three independent biological replicates.

Results:
Our results show 7 significant differential expression proteins by Glycyrrhiza glabra, 6 by Panax ginseng, 6 by Achillea wilhelmsii, 5 by Apium graveolens, 5 by Citrus aurantium, 4 by Trigonella foenum-graecum, 4 by Allium sativum, 4 by Zataria multiflora, 2 by Silybum marianum and one by Cynara scolymus.

Conclusion:
Herbal extracts are composed form multiple compounds and it is believed multi-ingredient drugs can interfere by multiple targeting in cells at same time. This study shows that each selected natural compounds can change the concentration of several proteins and control cholesterol metabolism by controlling of different pathways. By using proteomics techniques we will have a better holistic view on different mechanisms that are responsible for herbal remedies pharmacological activities.