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Farias, S.

Publications and source records attributed to Farias, S..

3 recordsLinked to original sources

Linking immunity and nutrition: Vital DNA extracellular trap formation in Dictyostelium discoideum reveals an ancestral strategy for microbial management

Extracellular traps (ETs) were originally described in neutrophils as DNA-based structures that immobilize microbes and contribute to innate immunity. Subsequent studies revealed that ET formation occurs across diverse immune cell types and can proceed through non-lytic mechanisms involving mitochondrial DNA release. Whether ETosis also operates outside classical immune contexts and what its ancestral functions may be remain incompletely understood. Here, we show that vegetative, phagocytic cells of the social amoeba Dictyostelium discoideum, a professional bacterial predator with phagocytic mechanisms conserved with those of mammalian innate immune cells, deploy extracellular DNA traps in response to bacterial cues. ET formation is selectively induced by specific lipopolysaccharide variants, is not triggered by canonical neutrophil NET inducers, and occurs through a vital ETosis mechanism that preserves membrane integrity and feeding capacity. Ultrastructural analyses provide the first visualization of extracellular traps in Amoebozoa, revealing extracellular filamentous networks that physically capture bacteria. Molecular characterization demonstrates that amoeboid ETs are enriched in mitochondrial DNA and harbor a dynamic proteomic repertoire dominated by mitochondrial components, DNA-associated proteins, and multiple antibacterial effectors. Notably, ET composition varies with the bacterial stimulus, indicating that ETs are not static structures but rather responsive extracellular assemblies. Together, these findings establish ET formation as a regulated response in a unicellular phagocyte and suggest that extracellular traps may have originally functioned in microbial management during feeding, prior to their elaboration as immune effectors in multicellular organisms. HighlightsO_LIVegetative Dictyostelium discoideum cells deploy mitochondrial DNA-based extracellular traps in response to bacterial cues. C_LIO_LIET formation occurs through a vital, non-lytic mechanism that preserves membrane integrity and feeding capacity. C_LIO_LIExtracellular traps exhibit stimulus-dependent composition and are enriched in mitochondrial and antimicrobial proteins. C_LIO_LIETosis functions as an ancestral strategy for microbial containment and management beyond canonical immune contexts. C_LI

microbiology↗

Efficacy of photodynamic therapy using 5-aminolevulinic acid-induced photosensitization is enhanced in pancreatic cancer cells with acquired drug resistance

The use of 5-aminolevulinic acid (ALA) as a precursor for protoporphyrin IX (PpIX) is an established photosensitization strategy for photodynamic therapy (PDT) and fluorescence guided surgery. Ongoing studies are focused on identifying approaches to enhance PpIX accumulation as well as to identify tumor sub-types associated with high PpIX accumulation. In this study, we investigated PpIX accumulation and PDT treatment response with respect to nodule size in 3D cultures of pancreatic cancer cells (Panc1) and a derivative subline (Panc1OR), which has acquired drug resistance and exhibits increased epithelial mesenchymal transition. In monolayer and 3D culture dose response studies the Panc1OR cells exhibit significantly higher cell killing at lower light doses than the drug naive cells. Panc1OR also exhibits increased PpIX accumulation. Further analysis of cell killing efficiency per molecule of intracellular PpIX indicates that the drug resistant cells are intrinsically more responsive to PDT. Additional investigation using exogenous delivery of PpIX also shows higher cell killing in drug resistant cells, under conditions which achieve approximately the same intracellular PpIX. Overall these results are significant as they demonstrate that this example of drug-resistant cells associated with aggressive disease progression and poor clinical outcomes, show increased sensitivity to ALA-PDT.

cancer biology↗

Brain signatures for neuropsychological and everyday memory achieve high replicability and explanatory power in two data cohorts

BackgroundThe "brain signature of cognition" concept has garnered interest as a data-driven, exploratory approach to better understand key brain regions involved in specific cognitive functions, with the potential to maximally characterize brain substrates of clinical outcomes. However, to be a robust brain phenotype, the signature approach requires a statistical foundation showing that model performance replicates across a variety of cohorts. Here, we outline a procedure that provides this foundation for a signature models of two memory-related behavioral domains. MethodIn each of two independent data cohorts, we derived regional brain gray matter thickness associations for neuropsychological and everyday cognition memory, testing for replicability. In each cohort we computed regional association to outcome in 40 randomly selected "discovery subsets" of size N = 400; we generated spatial overlap frequency maps and selected high-frequency regions as "consensus" signature masks for each cohort. We tested replicability by comparing cohort-based consensus model fits in all discovery sets. We tested explanatory power in each full cohort, compare signature model fits with competing "standard" models of each outcome. ResultSpatial replications produced strongly convergent consensus signature regions derived from UCD and ADNI. Consensus model fits were highly correlated in 40 random subsets of each cohort indicating high replicability. In comparisons over each full cohort, signature models outperformed other models with one exception. ConclusionMultiple random model generations, followed by consensus selection of regional brain substrates, produced signature models that replicated model fits to outcome and outperformed other commonly used measures. Robust biomarkers of cognition and everyday function may be achievable by this method. FundingThis project was funded by R01 AG052132 (NIH/NIA)

neuroscience↗