Biology subjects

Kuerten, S.

Publications and source records attributed to Kuerten, S..

7 recordsLinked to original sources

bioRxiv2026

PIEZO1 upregulation in spinal cord astrocytes during MOG 35-55 -induced EAE correlates with ECM remodeling

BackgroundExtracellular matrix (ECM) remodeling is increasingly recognized as an important component of neuroinflammatory pathology in multiple sclerosis (MS), yet the mechanisms by which CNS cells sense and respond to alterations in their mechanical environment and the spatial across which mechanical changes can influence cellular behavior remain poorly understood. Piezo1 is a mechanosensitive ion channel that regulates cellular responses to mechanical stimuli and has recently emerged as a potential modulator of neuroinflammation. MethodsExperimental autoimmune encephalomyelitis (EAE) was induced in C57BL/6 wildtype mice using myelin oligodendrocyte glycoprotein (MOG):35-55. Immunohistochemical analyses were performed in spinal cord gray matter (GM), normal-appearing white matter (NAWM), and white matter lesion (LES) regions to assess ECM remodeling, total Piezo1 expression, and astrocyte-specific Piezo1 expression during acute and chronic EAE stages. Correlations with clinical EAE severity were determined. In parallel, mixed primary murine glial cultures were exposed to substrates of different stiffness and analyzed by transcriptomic profiling to investigate mechanobiological responses in vitro. ResultsECM-associated proteins, including glial fibrillary acidic protein (GFAP), fibronectin-1 and matrix metalloproteinase-3 (MMP3), were regionally upregulated during EAE, indicating widespread tissue remodeling beyond focal inflammatory lesions. Total Piezo1 expression was increased within lesions and transiently elevated in GM, whereas astrocyte-specific Piezo1 remained persistently upregulated during both acute and chronic EAE. Astrocytic Piezo1 expression correlated closely with ECM remodeling and clinical EAE severity, particularly in GM and NAWM. Notably, both total and astrocyte-specific Piezo1 showed stronger associations with clinical disability than classical inflammatory markers. Transcriptomic analysis revealed pronounced stiffness-dependent responses in glial cells, including alterations in extracellular matrix organization, cytokine signaling, cell adhesion, and proliferative pathways. ConclusionsOur findings identify astrocytic Piezo1 as a prominent component of neuroinflammatory tissue remodeling during EAE. The close association of Piezo1 with ECM alterations, clinical disease severity, and stiffness-dependent glial responses supports a link between neuroinflammation and mechanosensory signaling. These results highlight mechanosensation as a potentially important contributor to CNS pathology and establish Piezo1 alteration as a candidate biomarker for neuroinflammatory disease.

Cell Biology↗

bioRxiv2026

Spatial scale of indentation explains shift in ratio between spinal cord gray and white matter stiffness

The structural integrity of spinal cord tissue and the transmission of mechanical stimuli across the different levels of tissue microarchitecture and varying spatial scales of mechanical loading challenge experimental and computational efforts to accurately model, simulate and interpret tissue mechanics, leading to conflicting findings in existing literature. Here, we demonstrate that the bead size used in spherical indentation tests significantly affects the stiffness ratio of spinal cord gray to white matter, a dependence which we only observe on the transverse plane and not the coronal plane of the tissue. Our study reveals a shift in stiffness ratio such that for smaller spherical indenters gray matter is stiffer than white matter, while for larger indenters, white matter is stiffer than gray matter. The mean relative change from the 100 {micro}m bead to the 500 {micro}m bead differed between anatomical planes, with transverse sections showing a decrease in gray matter (-13.3%) and an increase in white matter stiffness (+26.9%), accompanied by a reduction in the gray-to-white matter stiffness ratio from 1.07 to 0.76, whereas coronal sections exhibited increases in both gray (+21.0%) and white matter (+33.8%), along with a change in the ratio from 0.99 to 1.14. These findings contribute to explaining previously contradictory results in the literature and underscore the relevance of spatial scales in mechanical characterization studies.

biophysics↗

bioRxiv2026

Assessing the affinity spectrum of an antigen-specific memory B cell repertoire by inverted ImmunoSpot

The biological efficacy of an antibody is largely defined by its affinity. Moreover, because the binding affinity of an antibody can span orders of magnitude, each antigen-specific B cell would not be expected to contribute equally to humoral defense: high-affinity antibodies are likely to possess increased potency in comparison to those with lower affinities. Hence, assessing the affinity spectrum of a persons antigen-specific B cell repertoire would provide valuable information on their immune competence. Currently, cloning and expression of large numbers of monoclonal antibodies (mAbs) per test subject would be required to gain such insights, but this is impractical in the context of large-scale immune monitoring efforts. Here, we introduce a variant of the B cell ImmunoSpot assay that can simultaneously assess the relative affinity distribution of hundreds of individual B cells in a test sample. Additionally, we also demonstrated its suitability for high-throughput assay workflows that require minimal labor and exploit machine-assisted image analysis software tools. Specifically, as proof of principle, we verified that B cell hybridomas secreting mAbs of different affinities for the SARS-CoV-2 Spike protein could readily be distinguished through simple titration of the soluble antigen detection probe. Furthermore, using this assay methodology we provide evidence for affinity maturation within the Spike-specific memory B cell repertoire following a second COVID-19 mRNA vaccination. Collectively, we introduce a high-throughput suitable and scalable methodology with the potential of filling a major gap in the immune monitoring field: characterizing the affinity distribution of antigen-specific B cells in large study cohorts.

immunology↗

bioRxiv2026

The magnitude of the secondary B cell response is primarily defined by antibody feedback inhibition rather than the number of memory B cells present

Clonal expansion of memory lymphocytes after each antigen encounter is the primary mechanism for amplifying immunity. For most vaccines, boosters are common practice and are expected to stimulate proliferation of pre-existing memory B cells (Bmem), thereby expanding the antigen-specific Bmem pool, along with driving their differentiation into antibody-producing plasma cells that replenish antibody titers. It is widely assumed that the number of Bmem present in the body prior to administration of a booster vaccination will define the magnitude of the ensuing response. However, due to technical limitations hampering reliable detection of rare antigen-specific Bmem in human subjects, the extent to which Bmem numbers are actually modulated following a booster vaccination remains unclear. By comparing Bmem frequencies and antibody titers in the same individuals after primary and secondary vaccination with SARS-CoV-2 Spike (S-antigen)-encoding mRNA we found that expansion of Bmem and the magnitude of the secondary antibody response were not determined by the number of Bmem measured before the second vaccine inoculation. Instead, both were inversely correlated with levels of S-antigen-specific serum IgG prior to the secondary antigen exposure. Collectively, the data suggest that secondary B cell responses are constrained by antibody feedback inhibition of Bmem, rather than their paucity.

immunology↗

bioRxiv2024

Permissive and instructive Hox codes govern limb positioning

The positioning of limbs along the anterior-posterior axis varies widely across vertebrates. The mechanisms controlling this feature remain to be fully understood. For over 30 years, it has been speculated that Hox genes play a key role in this process but evidence supporting this hypothesis has been largely indirect. In this study, we employed loss- and gain-of-function Hox gene variants in chick embryos to address this issue. Using this approach, we found that Hox4/5 genes are necessary but insufficient for forelimb formation. Within the Hox4/5 expression domain, Hox6/7 genes are sufficient for reprogramming of neck lateral plate mesoderm to form an ectopic limb bud, thereby inducing forelimb formation anterior to the normal limb field. Our findings demonstrate that the forelimb program depends on the combinatorial actions of these Hox genes. We propose that during the evolutionary emergence of the neck, Hox4/5 provide permissive cues for forelimb formation throughout the neck region, while the final position of the forelimb is determined by the instructive cues of Hox6/7 in the lateral plate mesoderm. Impact statementElucidation of the Hox code defining forelimb positioning provides novel insights in lateral plate mesoderm patterning and the integration of vertebrate column structure and limb positioning.

developmental biology↗

bioRxiv2019

Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations

We trained a convolutional neural network (CNN) to classify H.E. stained microscopic images of focal cortical dysplasia type IIb (FCD IIb) and cortical tuber of tuberous sclerosis complex (TSC). Both entities are distinct subtypes of human malformations of cortical development that share histopathological features consisting of neuronal dyslamination with dysmorphic neurons and balloon cells. The microscopic review of routine stainings of such surgical specimens remains challenging. A digital processing pipeline was developed for a series of 56 FCD IIb and TSC cases to obtain 4000 regions of interest and 200.000 sub-samples with different zoom and rotation angles to train a CNN. Our best performing network achieved 91% accuracy and 0.88 AUCROC (area under the receiver operating characteristic curve) on a hold-out test-set. Guided gradient-weighted class activation maps visualized morphological features used by the CNN to distinguish both entities. We then developed a web application, which combined the visualization of whole slide images (WSI) with the possibility for classification between FCD IIb and TSC on demand by our pretrained and build-in CNN classifier. This approach might help to introduce deep learning applications for the histopathologic diagnosis of rare and difficult-to-classify brain lesions.

pathology↗

bioRxiv2018

Predicting local tissue mechanics using immunohistochemistry

Local tissue stiffness provides an important signal to which cells respond in vivo. However, assessing tissue mechanics is currently challenging and requires sophisticated technology. We here developed a model quantitatively predicting nervous tissue stiffness heterogeneities at cellular resolution based on cell density, myelin and GFAP fluorescence intensities. These histological parameters were identified by a correlation analysis of atomic force microscopy-based elasticity maps of spinal cord sections and immunohistochemical stainings. Our model provides a simple tool to estimate local stiffness distributions in nervous tissue, and it can easily be expanded to other tissue types, thus paving the way for studies of the role of mechanical signals in development and pathology.

biophysics↗