Biology subjects

Wouters, K.

Publications and source records attributed to Wouters, K..

6 recordsLinked to original sources

bioRxiv2026

Extracellular methylglyoxal; the passage across brain endothelial cells and the effect on barrier function

BackgroundMethylglyoxal (MGO), a highly reactive by-product of glycolysis, has been associated with cognitive decline and Alzheimers disease, though the mechanistic role of MGO remains unclear. Moreover, conflicting findings exist regarding MGOs toxicity on the blood-brain barrier (BBB). This study investigated whether MGO can cross the BBB under physiologically relevant conditions and whether MGO affects BBB permeability. MethodsMice were intravenously injected with highly purified home-made MGO or PBS, and MGO concentration was measured at five timepoints in the cerebral cortex up to 4 hours after injection. MGO toxicity was screened on a human brain endothelial cell line (hCMEC/D3) using a live/dead assay prior to the study of selected MGO concentrations and on hiPSC-derived brain microvascular endothelial cells (EECM-BMECs). EECM-BMECs were cultured on Transwell(R) inserts, and barrier function was assessed by sodium fluorescein permeability and transendothelial passage of 13C3-MGO quantified by UPLC-MS/MS. ResultsMGO levels in the mouse cortex did not increase post-injection. MGO was not toxic to hCMEC/D3 cells, and it had no impact on barrier properties of EECM-BMECs. After 1-hour exposure, [~]13% of total 13C3-MGO was recovered in its free form, and only [~]1% of supplemented MGO was recovered from the abluminal side. ConclusionMGO does not cross the BBB in vivo and does not affect barrier properties of a human in vitro model of the BBB. In vitro MGO passage across the BBB is minimal. These findings suggest that circulating MGO is unlikely to directly affect neuronal function via BBB disruption or enter the brain in its free from.

neuroscience↗

bioRxiv2026

Managing Autofluorescence in Spectral Flow Cytometry for Macrophage Identification in the Liver

Autofluorescence (AF) in biological tissues arises from the natural emission of light by intra- and extracellular molecules upon light absorption. Conventional flow cytometry cannot correct for cellular AF, leading to distorted signals and measurement errors. While spectral flow cytometry enables AF visualization and extraction, accurately correcting for AF remains challenging in complex biological samples containing multiple cell types with distinct AF properties, such as the liver. Additionally, pathological processes such as inflammation and fibrosis can alter tissue composition and activate specific cell types, further modifying AF characteristics across experimental conditions. Macrophages are among the most autofluorescent immune cells, exhibiting fluorescence emission across the entire spectrum of light. Recent studies have demonstrated substantial heterogeneity in the phenotypes of resident and recruited macrophages both in the healthy liver and during Metabolic Dysfunction-Associated Steatohepatitis (MASH). Given their critical role in liver disease pathophysiology, we developed a spectral flow cytometry approach to identify and analyze all macrophage subpopulations in healthy and MASH murine livers. Our findings show that healthy, steatotic and MASH livers exhibit distinct and heterogeneous AF signatures. Furthermore, inadequate AF extraction compromised accurate quantification of hepatic macrophages and differentiation of macrophage subsets.

immunology↗

bioRxiv2026

Adrenergic signaling induces a pro-tumorigenic B cell state in colorectal cancer

The importance of neuron-tumor crosstalk has gained increasing attention, yet its influence on the cellular and molecular landscape of colorectal cancer (CRC) remains largely unexplored. Here, we show that colonic innervation shapes the tumor immune microenvironment in a murine model of colitis-associated CRC. Although neuronal density does not affect tumor number, size, or overall burden, transcriptomic profiling of cells isolated from the tumor of hypo-innervated mice revealed extensive differential gene expression, including genes involved in immunoglobulin (Ig) signaling and the cancer-relevant hallmark avoiding immune destruction. Flow cytometry analysis of leukocyte populations demonstrated a significant reduction of B cells in the cancerous colon of hypo-innervated mice, notably a decrease in germinal center B cells and an altered class-switching profile, characterized by reduced IgA and increased IgD expression. Fluorescence and transmission electron microscopy showed that colonic B cells are primarily localized in the submucosa near neuronal processes containing varicose release sites, suggesting direct neuron-B cell interactions. Functional assays revealed that adrenergic stimulation of B cells promotes their proliferation and maturation, enhances IL-10 secretion, and alters immunoglobulin profiles. Strikingly, the transcriptome of epinephrine-treated B cells closely mirrors that of plasma cells from human CRC tissues, and the transcriptomic signature of these epinephrine-stimulated B cells associates with poorer patient survival. Together, these findings uncover an adrenergic neuron - B cell axis in CRC, providing evidence for direct neuroimmune interactions that affect B cell maturation and may influence tumor progression and therapeutic responses.

cancer biology↗

bioRxiv2023

Pleiotropic effects of trisomy and pharmacologic modulation on structural, functional, molecular, and genetic systems in a Down syndrome mouse model

Down syndrome (DS) is characterized by skeletal and brain structural malformations, cognitive impairment, altered hippocampal metabolite concentration and gene expression imbalance. These alterations were usually investigated separately, and the potential rescuing effects of green tea extracts enriched in epigallocatechin-3-gallate (GTE-EGCG) provided disparate results due to different experimental conditions. We overcame these limitations by conducting the first longitudinal controlled experiment evaluating genotype and GTE-EGCG prenatal chronic treatment effects before and after treatment discontinuation. Our findings revealed that the Ts65Dn mouse model reflected the pleiotropic nature of DS, exhibiting brachycephalic skull, ventriculomegaly, neurodevelopmental delay, hyperactivity, and impaired memory robustness with altered hippocampal metabolite concentration and gene expression. GTE-EGCG treatment modulated most systems simultaneously but did not rescue DS phenotypes. On the contrary, the treatment exacerbated trisomic phenotypes including body weight, tibia microarchitecture, neurodevelopment, adult cognition, and metabolite concentration, not supporting the therapeutic use of GTE-EGCG as a prenatal chronic treatment. Our results highlight the importance of longitudinal experiments assessing the co-modulation of multiple systems throughout development when characterizing preclinical models in complex disorders and evaluating the pleiotropic effects and general safety of pharmacological treatments.

systems biology↗

bioRxiv2023

Comparative electric and ultrastructural studies of cable bacteria reveal new components of conduction machinery

Cable bacteria encompass at least two genera, and they are known to vary greatly in habitat preferences and filament thickness. We systematically investigated variations and similarities in cellular structures and electrical properties of different cable bacteria strains. Using SEM, TEM, STEM-EDX and ToF-SIMS, we characterized shared features of cable bacteria, such as inner and outer membranes, surface layer and cell junction architecture, as well as strain specific features, like the number and size of periplasmic conductive fibers (PCFs). Our data indicates that the PCFs are organized as loose stranded rope-like structures. With spatially resolved elemental analysis we detected nickel-containing co-factors within the PCF of cable bacteria strains in both genera suggesting a conserved conduction mechanism. Electrical conductivity of different cable bacteria strains showed a range of values covering three orders of magnitude indicating an unknown metabolic adaptation. Using cryogenic electron tomography we discovered multiple polar chemosensory arrays, abundant cytoplasmic inner membrane-attached vesicles (IMVs), polysomes and inner membrane invaginations that shed light on cable bacteria metabolism including complex motility control mechanisms, localized protein synthesis, and membrane remodeling. We propose that the IMVs discovered in this work are novel metabolic hubs closely connected to the unique conductive fiber structure of cable bacteria.

microbiology↗

bioRxiv2019

A global perspective on microbial diversity in the terrestrial deep subsurface

While recent efforts to catalogue Earths microbial diversity have focused upon surface and marine habitats, 12% to 20% of Earths bacterial and archaeal biomass is suggested to inhabit the terrestrial deep subsurface, compared to [~]1.8% in the deep subseafloor 1-3. Metagenomic studies of the terrestrial deep subsurface have yielded a trove of divergent and functionally important microbiomes from a range of localities 4-6. However, a wider perspective of microbial diversity and its relationship to environmental conditions within the terrestrial deep subsurface is still required. Here, we show the diversity of bacterial communities in deep subsurface groundwater is controlled by aquifer lithology globally, by using 16S rRNA gene datasets collected across five countries on two continents and from fifteen rock types over the past decade. Furthermore, our meta-analysis reveals that terrestrial deep subsurface microbiota are dominated by Betaproteobacteria, Gammaproteobacteria and Firmicutes, likely as a function of the diverse metabolic strategies of these taxa. Despite this similarity, evidence was found not only for aquifer-specific microbial communities, but also for a common small consortium of prevalent Betaproteobacteria and Gammaproteobacterial OTUs across the localities. This finding implies a core terrestrial deep subsurface community, irrespective of aquifer lithology, that may play an important role in colonising and sustaining microbial habitats in the deep terrestrial subsurface. An in-silico contamination-aware approach to analysing this dataset underscores the importance of downstream methods for assuring that robust conclusions can be reached from deep subsurface-derived sequencing data. Understanding the global panorama of microbial diversity and ecological dynamics in the deep terrestrial subsurface provides a first step towards understanding the role of microbes in global subsurface element and nutrient cycling.

microbiology↗