De novo antioxidant peptide design via machine learning and DFT studies.

Antioxidant peptides (AOPs) are highly valued in food and pharmaceutical industries due to their significant role in human function. This study introduces a novel approach to identifying robust AOPs using a deep generative model based on sequence representation. Through filtration with a deep-learning classification model and subsequent clustering via the Butina cluster algorithm, twelve peptides (GP1-GP12) with potential antioxidant capacity were predicted. Density functional theory (DFT) calculations guided the selection of six peptides for synthesis and biological experiments. Molecular orbital representations revealed that the HOMO for these peptides is primarily localized on the indole segment, underscoring its pivotal role in antioxidant activity. All six synthesized peptides exhibited antioxidant activity in the DPPH assay, while the hydroxyl radical test showed suboptimal results. A hemolysis assay confirmed the non-hemolytic nature of the generated peptides. Additionally, an in silico investigation explored the potential inhibitory interaction between the peptides and the Keap1 protein. Analysis revealed that ligands GP3, GP4, and GP12 induced significant structural changes in proteins, affecting their stability and flexibility. These findings highlight the capability of machine learning approaches in generating novel antioxidant peptides.

Proteome analysis, bioinformatic prediction and experimental evidence revealed immune response down-regulation function for serum-starved human fibroblasts.

Emerging evidence indicates that fibroblasts play pivotal roles in immunoregulation by producing various proteins under health and disease states. In the present study, for the first time, we compared the proteomes of serum-starved human skin fibroblasts and peripheral blood mononuclear cells (PBMCs) using Nano-LC-ESI-tandem mass spectrometry. This analysis contributes to a better understanding of the underlying molecular mechanisms of chronic inflammation and cancer, which are intrinsically accompanied by growth factor deficiency.The proteomes of starved fibroblasts and PBMCs consisted of 307 and 294 proteins, respectively, which are involved in lymphocyte migration, complement activation, inflammation, acute phase response, and immune regulation. Starved fibroblasts predominantly produced extracellular matrix-related proteins such as collagen/collagenase, while PBMCs produced focal adhesion-related proteins like beta-parvin and vinculin which are involved in lymphocyte migration. PBMCs produced a more diverse set of inflammatory molecules like heat shock proteins, while fibroblasts produced human leukocytes antigen-G and -E that are known as main immunomodulatory molecules. Fifty-four proteins were commonly found in both proteomes, including serum albumin, amyloid-beta, heat shock cognate 71 kDa, and complement C3. GeneMANIA bioinformatic tool predicted 418 functions for PBMCs, including reactive oxygen species metabolic processes and 241 functions for starved fibroblasts such as antigen processing and presentation including non-classical MHC -Ib pathway, and negative regulation of the immune response. Protein-protein interactions network analysis indicated the immunosuppressive function for starved fibroblasts-derived human leucocytes antigen-G and -E. Moreover, in an in vitro model of allogeneic transplantation, the immunosuppressive activity of starved fibroblasts was experimentally documented. Conclusion: Under serum starvation-induced metabolic stress, both PBMCs and fibroblasts produced molecules like heat shock proteins and amyloid-beta, which can have pathogenic roles in auto-inflammatory diseases such as rheumatoid arthritis, type 1 diabetes mellitus, systemic lupus erythematosus, aging, and cancer. However, starved fibroblasts showed immunosuppressive activity in an in vitro model of allogeneic transplantation, suggesting their potential to modify such adverse reactions by down-regulating the immune system.

Ninety-six-hour starved peripheral blood mononuclear cell supernatant inhibited LA7 breast cancer stem cells induced tumor via reduction in angiogenesis and alternations in Gch1 and Spr expressions.

Introduction: The microenvironment of solid tumors such as breast cancer is heterogeneous and complex, containing different types of cell, namely, cancer stem cells and immune cells. We previously reported the immunoregulatory behavior of the human immune cell in a solid tumor microenvironment-like culture under serum starvation stress for 96 h. Here, we examined the effect of this culture-derived solution on breast cancer development in rats. Method: Ninety-six-hour starved PBMCs supernatant (96 h-SPS) was collected after culturing human PBMCs for 96 h under serum starvation condition. Breast cancer stem cells, LA7 cell line, was used for in vitro study by analyzing gene expression status and performing cytotoxicity, proliferation, scratch wound healing assays, followed by in vivo tumor induction in three groups of mature female Sprague Dawley rats. Animals were treated with 96 h-SPS or RPMI and normal saline as control, n = 6 for each group. After biochemical analysis of iron, lactate, and pH levels in the dissected tumors, Ki67 antigen expression, angiogenesis, and necrosis evaluation were carried out. Metabolic-related gene expression was assessed using RT-qPCR. Moreover, 96 h-SPS composition was discovered by Nano-LC-ESI-MS/MS. Results: 96 h-SPS solution reduced the LA7 cell viability, proliferation, and migration and Gch1 and Spr genes expression in vitro (p< 0.05), whereas stemness gene Oct4 was upregulated (p< 0.01). The intracellular lactate was significantly decreased in the 96 h-SPS treated group (p = 0.007). In this group, Gch1 and Spr were significantly downregulated (p< 0.05), whereas the Sox2 and Oct4 expression was not changed significantly. The number of vessels and mitosis (Ki67+ cells) in the 96 h-SPS-treated group was significantly reduced (p = 0.024). The increased rate of necrosis in this group was statistically significant (p = 0.04). Last, proteomics analysis revealed candidate effectors' components of 96 h-SPS solution. Conclusion: 96 h-SPS solution may help to prevent cancer stem cell mediated tumor development. This phenomenon could be mediated through direct cytotoxic effects, inhibition of cell proliferation and migration in association with reduction in Gch1 and Spr genes expression, angiogenesis and mitosis rate, and necrosis augmentation. The preliminary data obtained from the present study need to be investigated on a larger scale and can be used as a pilot for further studies on the biology of cancer development.