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Biology subjects

Fries, B.

Publications and source records attributed to Fries, B..

3 recordsLinked to original sources

A Human Neuronal Co-Culture System Reveals Early Tumor-Neuron Communication and Targetable Pathways in Glioblastoma

BackgroundGlioblastoma (GB, IDH wild type) is the most aggressive primary brain tumor in adults, with recurrence driven by residual tumor cells that re-establish interaction with surrounding neurons. While neuronal activity is recognized as a driver of GB progression, the earliest neuronal responses to tumor contact remain poorly understood. Existing models rarely capture these acute events or the heterogeneity of responses generated by tumors of different origins, limiting insight into the earliest neuron-tumor interactions. MethodsWe developed a dual-interface human iPSC-derived neuronal culture system to investigate acute neuronal responses to glioblastoma exposure. Neurons were challenged with either established GB cell lines or patient-derived glioblastoma cells (PDGCs). Using quantitative proteomics, high-resolution imaging, and immunological assays, we characterized compartment-specific neuronal changes and mapped activated signaling pathways. We also screened selective inhibitors for their effects on both tumor proliferation and neuronal integrity. FindingsWithin 24 hours of exposure, neurons displayed synaptic remodeling and activation of GB-related signaling cascades. Proteomic analysis of GB exposed neurons revealed enrichment of pathways associated with GB and abnormalities in neuronal circuits. Notably, the U-87MG cell line, but not PDGCs, induced pronounced synaptic disruption, neurite retraction, and MAPK pathway activation, with distinct molecular signatures across neuronal compartments. ERK1/2 and p38 MAPK signaling were differentially activated depending on the GB cells source, correlating with specific structural and functional synaptic alterations. Targeted inhibition of MAPK components significantly suppressed U-87MG proliferation and preserved neuronal architecture. InterpretationWe present a human neuronal culture model that detects and discriminates the earliest neuron-derived responses to glioblastoma from diverse tumor sources. By linking neuronal remodeling to tumor-specific signaling pathways, the platform uncovers both the heterogeneity of neuron-tumor interactions and early, targetable vulnerabilities. This system offers a translational tool to advance understanding of GB recurrence and to guide development of therapies with dual neuroprotective and anti-tumor efficacy. In BriefEarly interactions between glioblastoma and human neurons drive rapid, source-specific synaptic remodeling mediated by compartmental MAPK pathway activation. This neuronal co-culture model identifies distinct profiles of tumor-neuron communication, highlights synaptic vulnerability as a therapeutic axis, and demonstrates that MAPK pathway inhibition yields both neuroprotective and anti-tumor effects. SummaryGlioblastoma (GB) co-opts neuronal circuits to drive tumor progression, yet the earliest neuronal responses that may shape recurrence remain poorly defined. We developed a human iPSC-derived neuronal co-culture model that captures acute communication between neurons and glioblastoma from diverse sources, including serum-adapted cell lines and patient-derived cells. Within 24 hours, glioma-exposed neurons exhibited synaptic remodeling and activation of tumor-associated signaling pathways. High-resolution imaging and proteomics revealed compartment-specific synaptic alterations, with ERK1/2 and p38 MAPK signaling differentially engaged depending on the tumor source, corresponding to distinct structural and functional outcomes. Pharmacologic inhibition of MAPK components both suppressed tumor cells growth and preserved neuronal integrity. By modeling source-dependent and early neuron-tumor interactions, this platform not only identifies MAPK signaling as a critical mediator of synaptic vulnerability but also provides a clinically relevant tool for investigating the mechanisms of glioblastoma recurrence. It offers a framework for developing therapies that target the dual vulnerabilities of tumor progression and circuit remodeling. Highlights O_LIA dual-interface human iPSC-derived neuronal co-culture system models early neuron-glioblastoma (GB) interaction. C_LIO_LISerum-adapted U-87MG, but not serum-free patient-derived GB cells, induces pronounced synaptic disruption and neurite retraction. C_LIO_LIGlobal proteome of neurons reveals GB-associated signatures and neuronal circuit alterations in response to both U-87MG and patient-derived GB cells. C_LIO_LIERK1/2 and p38 MAPK signaling are differentially activated in neuronal compartments, depending on GB source. C_LIO_LIMAPK pathway inhibition suppresses U-87MG proliferation and preserves neuronal integrity, revealing actionable neuroprotective and anti-tumor targets. C_LI

cancer biology↗

Nested spatial and temporal modeling of environmental conditions associated with genetic markers of Vibrio parahaemolyticus in Washington state Pacific oysters

The Pacific Northwest (PNW) is one of the largest commercial harvesting areas for Pacific oysters (Crassostrea gigas) in the United States. Vibrio parahaemolyticus, a bacterium naturally present in estuarine waters, accumulates in shellfish and is a major cause of seafood-borne illness. Growers, consumers, and public-health officials have raised concerns about rising vibriosis cases in the region. V. parahaemolyticus genetic markers (tlh, tdh, trh) were estimated using an MPN-PCR technique in Washington State Pacific oysters regularly sampled between May and October from 2005 to 2019 (N=2,836); environmental conditions were also measured at each sampling event. Multilevel mixed-effects regression models were used to assess relationships between environmental measures and genetic markers as well as genetic marker ratios (trh:tlh, tdh:tlh, and tdh:trh), accounting for variation across space and time. Spatial and temporal dependence were also accounted for in the model structure. Model fit improved when including environmental measures from previous weeks (1-week lag for air temperature, 3-week lag for salinity). Positive associations were found between tlh and surface water temp, specifically between 15{degrees}C and 26{degrees}C, and between trh and surface water temperature up to 26{degrees}C. tlh and trh were negatively associated with 3-week lagged salinity in the most saline waters (> 27 ppt). There was also a positive relationship between tissue temperature and tdh, but only above 20{degrees}C. The tdh:tlh ratio displayed analogous inverted non-linear relationships as tlh. The non-linear associations found between the genetic targets and environmental measures demonstrate the complex habitat suitability of V. parahaemolyticus. Additional associations with both spatial and temporal variables also suggest there are influential unmeasured environmental conditions that could further explain bacterium variability. Overall, these findings confirm previous ecological risk factors for vibriosis in Washington State, while also identifying new associations between lagged temporal effects and pathogenic markers of V. parahaemolyticus.

microbiology↗

Measuring the accuracy of gridded human population density surfaces: a case study in Bioko Island, Equatorial Guinea

Geospatial datasets of population are becoming more common in models used for health policy. Publicly-available maps of human population in sub-Saharan Africa make a consistent picture from inconsistent census data, and the techniques they use to impute data makes each population map unique. Each mapping model explains its methods, but it can be difficult to know which map is appropriate for which policy work. Gold-standard census datasets, where available, are a unique opportunity to characterize maps by comparing them with truth. We use census data from Bioko Island, in Equatorial Guinea, to evaluate LandScan (LS), WorldPop (WP), and the High-Resolution Settlement Layer (HRSL). Each layer is compared to the gold-standard using statistical measures to evaluate distribution, error, and bias. We investigated how map choice affects burden estimates from a malaria prevalence model. Specific population layers were able to match the gold-standard distribution at different population densities. LandScan was able to most accurately capture highly urban distribution, HRSL matched best at all other lower population densities and WorldPop performed poorly everywhere. Correctly capturing empty pixels is key, and smaller pixel sizes (100 m vs 1 km) improve this. Normalizing areas based on known district populations increased performance. The use of differing population layers in a malaria model showed a disparity in results around transition points between endemicity levels. The metrics in this paper, some of them novel in this context, characterize how these population maps differ from the gold standard census and from each other. We show that the metrics help understand the performance of a population map within a malaria model. The closest match to the census data would combine LandScan within urban areas and the HRSL for rural areas. Researchers should prefer particular maps if health calculations have a strong dependency on knowing where people are not, or if it is important to categorize variation in density within a city.

ecology↗