Apoptosis-Inducing Effects of Short-Chain Fatty Acids-Rich Fermented Pistachio Milk in Human Colon Carcinoma Cells.
Su Jin LimHyuk-Cheol KwonDong-Min ShinYong-Jun ChoiSeo-Gu HanYea-Ji KimSung-Gu HanPublished in: Foods (Basel, Switzerland) (2023)
Pistachio milk (PM), an extraction product of pistachio, is protein- and fat-dense food. Short-chain fatty acids (SCFAs) are known for inducing cytotoxicity and apoptosis in colon carcinoma cells. This study aimed to find an optimal combination of probiotics that can produce a higher amount of SCFAs in PM. In addition, the anti-cancer effect of fermented PM on human colon carcinoma cells (Caco-2) was determined. The combinations of probiotics were as follows: Streptococcus thermophilus + Lactobacillus bulgaricus (C); C + Lactobacillus acidophilus (C-La); C + Lactobacillus gasseri (C-Lg); C + Bifidobacterium bifidum (C-Bb). The results indicated that fermented PM was produced after a short fermentation time in all the probiotics combinations. C-Bb produced up to 1.5-fold more acetate than the other probiotics combinations did. A significant amount of cytotoxicity, i.e., 78, 56, and 29% cell viability was observed in Caco-2 cells by C-Bb-fermented PM at 1, 2.5 and 5%, respectively. C-Bb-fermented PM (5%) induced early and late apoptosis up to 6-fold. Additionally, Caco-2 cells treated with C-Bb-fermented PM significantly induced the downregulation of α-tubulin and the upregulation of cleaved caspase-3, as well as nuclear condensation and fragmentation. Our data suggest that fermented PM, which is rich in acetate, may have the potential as a functional food possessing anti-colon cancer properties.
Keyphrases
- particulate matter
- lactic acid
- air pollution
- cell cycle arrest
- polycyclic aromatic hydrocarbons
- induced apoptosis
- heavy metals
- cell death
- endoplasmic reticulum stress
- growth factor
- fatty acid
- water soluble
- endothelial cells
- oxidative stress
- pi k akt
- high glucose
- signaling pathway
- adipose tissue
- recombinant human
- cell proliferation
- diabetic rats
- pseudomonas aeruginosa
- machine learning
- long non coding rna
- escherichia coli
- cystic fibrosis
- big data
- induced pluripotent stem cells
- artificial intelligence
- newly diagnosed
- small molecule
- binding protein