Fourniergriffith5805

Clostridioides difficile (C. diff) is the leading cause of antibiotic-associated colitis. Here, we report that lemon exosome-like nanoparticles (LELNs) manipulated probiotics to inhibit C. diff infection (CDI). LELN-manipulated Lactobacillus rhamnosus GG (LGG) and Streptococcus thermophilus ST-21 (STH) (LELN-LS) decrease CDI mortality via an LELN-mediated increase in bile resistance and gut survivability. LELN-LS treatment increases the AhR ligands indole-3-lactic acid (I3LA) and indole-3-carboxaldehyde (I3Ald), leading to induction of IL-22, and increases lactic acid leading to a decrease of C. diff fecal shedding by inhibiting C. diff growth and indole biosynthesis. A synergistic effect between STH and LGG was identified. The STH metabolites inhibit gluconeogenesis of LGG and allow fructose-1,6-bisphosphate (FBP) to accumulate in LGG; accumulated FBP then activates lactate dehydrogenase of LGG (LGG-LDH) and enhances production of lactic acid and the AhR ligand. Our findings provide a new strategy for CDI prevention and treatment with a new type of prebiotics.The immune checkpoint inhibitor programmed cell death protein 1 (PD-1) plays a critical role in immune regulation. SR-25990C Recent studies have demonstrated functional PD-1 expression in peripheral sensory neurons, which contributes to neuronal excitability, pain, and opioid analgesia. Here we report neuronal expression and function of PD-1 in the central nervous system (CNS), including the spinal cord, thalamus, and cerebral cortex. Notably, GABA-induced currents in spinal dorsal horn neurons, thalamic neurons, and cortical neurons are suppressed by the PD-1-neutralizing immunotherapeutic Nivolumab in spinal cord slices, brain slices, and dissociated cortical neurons. Reductions in GABA-mediated currents in CNS neurons were also observed in Pd1-/- mice without changes in GABA receptor expression. Mechanistically, Nivolumab binds spinal cord neurons and elicits ERK phosphorylation to suppress GABA currents. Finally, both GABA-mediated analgesia and anesthesia are impaired by Pd1 deficiency. Our findings reveal PD-1 as a CNS-neuronal inhibitor that regulates GABAergic signaling and GABA-mediated behaviors.Recently, lipid metabolism reprogramming has been further evidenced in malignancies via the observation of large amounts of lipid droplets (LDs) in human tumors, including in glioblastoma (GBM), the most lethal primary brain tumor. However, the role played by LDs in tumor cells remains unknown. Here, we show that triglycerides (TG), the major components of LDs, serve as a critical energy reservoir to support GBM cell survival. TG/LDs rapidly diminished in GBM cells upon glucose reduction, whereas inhibiting fatty acid oxidation or autophagy resulted in the accumulation of TG/LDs and strongly potentiated GBM cell death. Immunofluorescence imaging and time-lapse videos showed that LDs are hydrolyzed by autophagy to release free fatty acids that mobilize into mitochondria for energy production. Our study demonstrates that autophagy-mediated hydrolysis of TG/LDs maintains energy homeostasis and GBM survival upon glucose reduction, suggesting that limiting TG/LDs utilization might be necessary upon treating GBM.Broadly neutralizing antibodies (bnAbs) recognize conserved features of rapidly mutating pathogens and confer universal protection, but they emerge rarely in natural infection. Increasing evidence indicates that seemingly passive antibodies may interfere with natural selection of B cells. Yet, how such interference modulates polyclonal responses is unknown. Here we provide a framework for understanding the role of antibody interference-mediated by multi-epitope antigens-in shaping B cell clonal makeup and the fate of bnAb lineages. We find that, under heterogeneous interference, clones with different intrinsic fitness can collectively persist. Furthermore, antagonism among fit clones (specific for variable epitopes) promotes expansion of unfit clones (targeting conserved epitopes), at the cost of repertoire potency. This trade-off, however, can be alleviated by synergy toward the unfit. Our results provide a physical basis for antigen-mediated clonal interactions, stress system-level impacts of molecular synergy and antagonism, and offer principles to amplify naturally rare clones.Specific recording, labeling, and spatiotemporal manipulating neurons are essential for neuroscience research. In this study, we developed a tripartite spatiotemporal gene induction system in C. elegans, which is based on the knockout of two transcriptional terminators (stops in short) by two different recombinases FLP and CRE. The recombinase sites (loxP and FRT) flanked stops after a ubiquitous promoter terminate transcription of target genes. FLP and CRE, induced by two promoters of overlapping expression, remove the stops (subsequent FLP/CRE-out). The system provides an "AND" gate strategy for specific gene expression in single types of cell(s). Combined with an inducible promoter or element, the system can control the spatiotemporal expression of genes in defined cell types, especially in cells or tissues lacking a specific promoter. This tripartite FLP/CRE-out gene expression system is a simple, labor- and cost-saving toolbox for cell type-specific and inducible gene expression in C. elegans.Computationally understanding the molecular mechanisms that give rise to cell signaling responses upon different environmental, chemical, and genetic perturbations is a long-standing challenge that requires models that fit and predict quantitative responses for new biological conditions. Overcoming this challenge depends not only on good models and detailed experimental data but also on the rigorous integration of both. We propose a quantitative framework to perturb and model generic signaling networks using multiple and diverse changing environments (hereafter "kinetic stimulations") resulting in distinct pathway activation dynamics. We demonstrate that utilizing multiple diverse kinetic stimulations better constrains model parameters and enables predictions of signaling dynamics that would be impossible using traditional dose-response or individual kinetic stimulations. To demonstrate our approach, we use experimentally identified models to predict signaling dynamics in normal, mutated, and drug-treated conditions upon multitudes of kinetic stimulations and quantify which proteins and reaction rates are most sensitive to which extracellular stimulations.