From microbes to molecules: a review of microbial-driven antioxidant peptide generation

Oxidative stress, arising from excess reactive oxygen species (ROS) or insufficient antioxidant defenses, can damage cellular components, such as lipids, proteins, and nucleic acids, resulting in cellular dysfunction. The relationship between oxidative stress and various health disorders has prompted investigations into potent antioxidants that counteract ROS's detrimental impacts. In this context, antioxidant peptides, composed of two to twenty amino acids, have emerged as a unique group of antioxidants and have found applications in food, nutraceuticals, and pharmaceuticals. Antioxidant peptides are sourced from natural ingredients, mainly proteins derived from foods like milk, eggs, meat, fish, and plants. These peptides can be freed from their precursor proteins through enzymatic hydrolysis, fermentation, or gastrointestinal digestion. Previously published studies focused on the origin and production methods of antioxidant peptides, describing their structure-activity relationship and the mechanisms of food-derived antioxidant peptides. Yet, the role of microorganisms hasn't been sufficiently explored, even though the production of antioxidant peptides frequently employs a variety of microorganisms, such as bacteria, fungi, and yeasts, which are recognized for producing specific proteases. This review aims to provide a comprehensive overview of microorganisms and their proteases participating in enzymatic hydrolysis and microbial fermentation to produce antioxidant peptides. This review also covers endogenous peptides originating from microorganisms. The information obtained from this review might guide the discovery of novel organisms adept at generating antioxidant peptides.

Ventricle tracking in transesophageal echocardiography (TEE) images during cardiopulmonary resuscitation (CPR) using deep learning and monogenic filtering

High-quality cardiopulmonary resuscitation (CPR) is the most important factor in promoting resuscitation outcomes; therefore, monitoring the quality of CPR is strongly recommended in current CPR guidelines. Recently, transesophageal echocardiography (TEE) has been proposed as a potential real-time feedback modality because physicians can obtain clear echocardiographic images without interfering with CPR. The quality of CPR would be optimized if the myocardial ejection fraction (EF) could be calculated in real-time during CPR. We conducted a study to derive a protocol to detect systole and diastole automatically and calculate EF using TEE images acquired from patients with cardiac arrest. The data were supplemented using thin-plate spline transformation to solve the problem of insufficient data. The deep learning model was constructed based on ResUNet +  + , and a monogenic filtering method was applied to clarify the ventricular boundary. The performance of the model to which the monogenic filter was added and the existing model was compared. The left ventricle was segmented in the ME LAX view, and the left and right ventricles were segmented in the ME four-chamber view. In most of the results, the performance of the model to which the monogenic filter was added was high, and the difference was very small in some cases; but the performance of the existing model was high. Through this learned model, the effect of CPR can be quantitatively analyzed by segmenting the ventricle and quantitatively analyzing the degree of contraction of the ventricle during systole and diastole.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13534-023-00293-9.

Transformed cells maintain survival by downregulating autophagy at a high cell confluency

Autophagy plays a dual role in tumorigenesis by functioning as both a tumor suppressor and promoter, depending on the stage of tumorigenesis. However, it is still unclear at what stage the role of autophagy changes during tumorigenesis. Herein, we investigated the differences in the basal levels and roles of autophagy in five cell lines at different stages of cell transformation. We found that cell lines at higher transformation stages were more sensitive to the autophagy inhibitors, suggesting that autophagy plays a more important role as the transformation progresses. Our ptfLC3 imaging analysis to measure Atg5/LC3-dependent autophagy showed increased autophagic flux in transformed cells compared to untransformed cells. However, the Cyto-ID analysis, which measures Atg5-dependent and -independent autophagic flux, showed high levels of autophagosome formation not only in the transformed cells but also in the initiated cell and Atg5 KO cell line. These results indicate that Atg5-independent autophagy may be more critical in initiated and transformed cell lines than in untransformed cells. Specially, we observed that transformed cells maintained relatively high basal autophagy levels under rapidly proliferating conditions but exhibited much lower basal autophagy levels at high confluency; however, autophagic flux was not significantly reduced in untransformed cells, even at high confluency. In addition, when continuously cultured for 3 weeks without passage, senescent cells were significantly less sensitive to autophagy inhibition than their actively proliferating counterparts. These results imply that once a cell has switched from a proliferative state to a senescent state, the inhibition of autophagy has only a minimal effect. Taken together, our results suggest that autophagy can be differentially regulated in cells at different stages of tumorigenesis under stressful conditions.