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Biology subjects

Boyer, S. M.

Publications and source records attributed to Boyer, S. M..

2 recordsLinked to original sources

Multi-omic Characterization of Pancreatic Cancer-Associated Macrophage Polarization Reveals Deregulated Metabolic Programs Driven by the GMCSF-PI3K Pathway

The pancreatic ductal adenocarcinoma (PDA) microenvironment is composed of a variety of cell types and marked by extensive fibrosis and inflammation. Tumor-associated macrophages (TAM) are abundant, and they are important mediators of disease progression and invasion. TAMs are polarized in situ to a tumor promoting and immunosuppressive phenotype via cytokine signaling and metabolic crosstalk from malignant epithelial cells and other components of the tumor microenvironment (TME). However, the specific distinguishing features and functions of TAMs remain poorly defined. Here, we generated tumor-educated macrophages (TEM) in vitro and performed detailed, multi-omic characterization (i.e. transcriptomics, proteomics, metabolomics). Our results reveal unique genetic and metabolic signatures of TEMs, the veracity of which were queried against our in-house single cell RNA sequencing (scRNA-seq) dataset of human pancreatic tumors. This analysis identified expression of novel, metabolic TEM markers in human pancreatic TAMs, including ARG1, ACLY, and TXNIP. We then utilized our TEM model system to study the role of mutant Kras signaling in cancer cells on TEM polarization. This revealed an important role for GM-CSF and lactate on TEM polarization, molecules released from cancer cells in a mutant Kras-dependent manner. Lastly, we demonstrate that GM-CSF dysregulates TEM gene expression and metabolism through PI3K-AKT pathway signaling. Collectively, our results define new markers and programs to classify pancreatic TAMs, how these are engaged by cancer cells, and the precise signaling pathways mediating polarization.

cancer biology↗

Metabolomics and proteomics of L. rhamnosus GG and E. coli Nissle probiotic supernatants identify distinct pathways that mediate growth suppression of antimicrobial-resistant pathogens

Probiotics merit testing as alternatives to conventional antibiotics and are receiving increased attention for efficacy against multi-drug resistant pathogen infections. This study hypothesis was that the Gram-positive probiotic, L. rhamnosus GG (LGG) and Gram-negative E. coli Nissle (ECN) secrete distinct proteins and metabolites to suppress pathogen growth. LGG and ECN cell free supernatants were tested in a dose-dependent manner for differential growth suppression of Salmonella Typhimurium, Escherichia coli, and Klebsiella oxytoca that harbor antimicrobial resistance (AMR). Across supernatant doses, LGG was 6.27% to 20.55% more effective than ECN at suppressing AMR pathogen growth. Proteomics and metabolomics were performed to identify pathways that distinguished LGG and ECN for antimicrobial functions. From the 667 detected metabolites in probiotic cell free supernatants, 304 metabolites had significantly different relative abundance between LGG and ECN, and only 5 and 6 unique metabolites were identified for LGG and ECN respectively. LGG and ECN differences involved amino acid, energy and nucleotide metabolism. Proteomics analysis of ECN and LGG cell free supernatants identified distinctions in 87 proteins, where many were related to carbohydrate and energy metabolism. Integration of genome-proteome-metabolome signatures from LGG and ECN with predictive metabolic modeling supported differential use of substrates by these two probiotics as drivers of antimicrobial actions. ECN metabolized a range of carbon sources, largely purines, whereas LGG consumed primarily carbohydrates. Understanding functional biosynthesis, utilization and secretion of bioactive metabolites and proteins from genetically distinct probiotics will guide strategic approaches for developing antibiotic alternatives and for controlling spread of multi-drug resistant pathogens. ImportanceProbiotics are practical alternatives for protection against antimicrobial resistant pathogens. Bioactive probiotics molecules merit further investigation using high throughput - omic approaches. This study identified functional differences between Gram-positive L. rhamnosus GG (LGG) and Gram-negative E. coli Nissle (ECN) probiotics that suppressed the growth of antimicrobial resistant S. Typhimurium, K. oxytoca, and E. coli. Proteomes and metabolomes of the probiotic cell free supernatants showed metabolic differences between LGG and ECN for mediating pathogen growth suppression. Metabolites distinguishing LGG versus ECN growth suppression included carbohydrates, lipids, amino acids, and nucleic acids. The metabolic flux differences between ECN and LGG, which coincided with observed separations in the proteomes and metabolomes, was hypothesized to explain the differential suppression of AMR pathogens. Integrated metabolite and protein signatures produced by each probiotic merit attention as adjuvant therapeutics for antimicrobial resistant infections.

microbiology↗