Automated quantification of lipid contents of Lipomyces starkeyi using deep-learning-based image segmentation.

Intracellular lipid droplets (LDs), subcellular organelles playing a role in long-term carbon storage, have immense potential in biofuel and dietary lipid production. Monitoring the state of LDs in living cells is of utmost importance for quick biomass harvest and screening promising isolates. Here, a deep-learning-based segmentation model was developed for automatic detection and segmentation of LDs using the model yeast species Lipomyces starkeyi, leading to fast and accurate quantification of lipid contents in liquid cultures. The trained model detected the yeast's cell and LDs in light microscopic images with an accuracy of 98% and 92%, respectively. Lipid content prediction using pixel numbers counted in segmented LDs showed high similarity to lipid quantification results obtained with gas chromatography-mass spectrometry. This automated quantification can highly reduce cost and time in real-time monitoring of lipid production, thereby providing an efficient tool in bio-fermentation.

Low temperature-aged garlic extract suppresses psychological stress by modulation of stress hormones and oxidative stress response in brain.

BACKGROUND: Garlic is a folk medicine known for its multiple physiological activities, but the neuro-modulatory effect of garlic against psychological stress has rarely been explored. The current study was conducted to determine the potential antipsychological stress effect of low temperature-aged garlic (LTAG). METHODS: After acute restraint stress exposure, mice were administered with raw garlic (RG, 500 mg/kg, p.o.) or LTAG (500 mg/kg, p.o.). We investigated corticosterone, cortisol, and monoamines levels, and the mRNA expression of genes relevant to oxidative stress. RESULTS: RG and LTAG treatment significantly decreased stress-related hormones such as corticotropin-releasing factor, adrenocorticotropic hormone, corticosterone, and cortisol. Moreover, RG and LTAG administration significantly restored acute restraint stress-induced changes in concentrations of brain neurotransmitters (serotonin, norepinephrine, dopamine, and epinephrine). In addition, RG and LTAG improved the antioxidant defense system by causing an increase in mRNA expression of superoxide dismutase, catalase, and glutathione peroxidase in the brain. CONCLUSION: This study suggests an antipsychological stress and neuroprotective effect of RG and LTAG under stress conditions.

Ameliorative effect of 1,2-benzenedicarboxylic acid dinonyl ester against amyloid beta peptide-induced neurotoxicity.

Amyloid beta peptide (Abeta)-induced oxidative stress may be linked to neurodegenerative disease. Ethanol extracts of Rosa laevigata protected PC12 cells from hydrogen peroxide-induced oxidative stress. (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) reduction assays revealed a significant increase in cell viability when oxidatively stressed PC12 cells were treated with R. laevigata extract. The effect of R. laevigata on oxidative stress-induced cell death was further investigated by lactate dehydrogenase release assays and trypan blue exclusion assays. Administration of 1,2-benzenedicarboxylic acid dinonyl ester from R. laevigata extract to mice infused with Abeta significantly reversed learning and memory impairment in behavioural tests. After behavioural testing, the mice were sacrificed and brains were collected for the examination of lipid peroxidation, catalase activity and acetylcholinesterase (AchE) activity. These results suggest that 1,2-benzenedicarboxylic acid dinonyl ester from R. laevigata extract may be able to reduce Abeta-induced neurotoxicity, possibly by reducing oxidative stress. Therefore, R. laevigata extract may be useful for the prevention of oxidative stress-induced neurodegenerative disorders.