Biology subjects

Hofmann, U. G.

Publications and source records attributed to Hofmann, U. G..

8 recordsLinked to original sources

bioRxiv2026

Riboflavin-sensitized UVA collagen crosslinking produced a controllable, dose-dependent increase in the nanomechanical strength of ex vivo bovine dura mater

BackgroundDural defects, either from trauma, tumor resection, surgical approaches, genetics, or spontaneously represent a significant clinical challenge in neurosurgery. Given the established efficacy of riboflavin-sensitized ultraviolet-A (UVA) photo-crosslinking in ophthalmology, this study investigated its feasibility and dose-response characteristics as a novel strategy to biochemically augment the mechanical integrity and strength of ex-vivo bovine dura mater. MethodsForty bovine dura mater specimens were treated ex vivo using riboflavin concentrations of 2, 4, or 8 mM combined with UVA irradiation at 0.3 or 3 mW/cm{superscript 2}. PBS-treated specimens exposed to UVA served as controls. Atomic force microscopy nanoindentation was used to measure the local elastic modulus in matched regions before and after treatment, enabling paired assessment of treatment-induced mechanical changes while minimizing inter-sample variability. Post-treatment stiffness, fold-change from baseline, and riboflavin dose-response relationships were analyzed statistically. ResultsBaseline elastic moduli were equivalent across all groups (mean approximately 52 kPa, p=0.92). While UVA alone caused a modest approximately 2- to 3-fold stiffness increase, riboflavin-UVA treatment produced a dramatic, concentration-dependent effect. The highest treatment (8 mM RF, 3 mW/cm{superscript 2} UVA) increased the elastic modulus 150-fold, from approximately 53 kPa to approximately 8,000 kPa. Post-UV stiffness exhibited a strong linear relationship with riboflavin concentration (R{superscript 2} = 0.994), indicating a precisely titratable crosslinking effect. All treatment conditions were statistically distinguishable (p < 0.001). ConclusionRiboflavin-sensitized UVA crosslinking substantially increases the nanomechanical strength of ex vivo bovine dura mater in a controllable, dose-dependent manner. These findings establish a proof of concept for biochemical reinforcement of dural tissue that might be used clinically. As a next step evaluation using human dura, macroscopic biomechanical testing, penetration-depth analysis, and safety assessment is warranted.

bioengineering↗

bioRxiv2026

In Search for Biomarkers Reflecting Neural Implant-Induced Tissue Response Dynamics

Extracellular matrix (ECM) remodeling is a fundamental determinant of neural tissue repair and implant integration, yet its conserved regulatory architecture remains undefined. While transcriptomic alterations following neural injury and implantation have been described, the ECM-centered programs that unify traumatic injury and neural implant responses remain unclear. Here, integrative systems-level transcriptomic analysis identifies a dominant and conserved ECM regulatory axis linking traumatic brain injury (BI), spinal cord injury (SCI), and neural implant-induced injury. By integrating transcriptomic datasets from brain and spinal cord injury models using weighted gene co-expression network analysis (WGCNA), six conserved ECM-associated gene modules are identified, with hyaluronan (HA)-centered networks emerging as the dominant and conserved regulatory axis across both injury types. Modules enriched for low-molecular-weight HA (LMW-HA) are linked to Toll-like receptor signaling and pro-inflammatory cytokine expression, whereas high-molecular-weight HA (HMW-HA)-associated modules correlate with Cd44 signaling, tissue stabilization and repair. Furthermore, independent validation in thin-film intracortical microelectrode datasets confirms robust activation of HA damage-associated molecular pattern (HA-DAMP) signaling following implantation, with 9/10 injury-derived modules preserved and 88% of transcripts exhibiting resolving temporal dynamics. These findings indicate that neural implants engage conserved trauma-associated ECM programs rather than a conventional foreign-body response, highlighting HA-related metabolisms. Given that HA fragments and HA-modifying enzymes are detectable in cerebrospinal fluid and peripheral circulation, HA-associated signatures may serve as minimally invasive biomarkers of neural injury and implant biocompatibility, enabling longitudinal monitoring and informing next-generation neural interface design.

bioengineering↗

bioRxiv2021

Transcriptional characterization of the glial response due to chronic neural implantation of flexible microprobes

Long term implantation of (micro-)probes into neural tissue cause unique and disruptive responses to these foreign bodies. In this study, we present the transcriptional trajectory of glial cells responding to chronic implantation of flexible micro-probes for up to 18 weeks. Transcriptome analysis shows a rapid activation of microglial cells and a strong upregulation of reactive astrocytic genes, which is lost over the full duration of the implant period. Most interestingly, animals that were implanted for 18 weeks show a transcriptional profile similar to non-implanted controls, with increased expression of genes associated with wound healing and angiogenesis, which raises hope of a normalization of the neuropil to the pre-injury state when using flexible probes. Nevertheless, our data show, that a subset of genes upregulated after 18 weeks belong to the family of immediate early genes, which would indicate that structural and functional remodeling has not been completed at this time point. Our results confirm and extend previous work on the molecular changes resulting from the presence of intraneural probes and provide a rational basis for developing intervention strategies to control them.

neuroscience↗

bioRxiv2021

Spatiotemporal heterogeneity of glioblastoma is dictated by microenvironmental interference

Glioblastomas are highly malignant tumors of the central nervous system. Evidence suggests that these tumors display large intra- and inter-patient heterogeneity hallmarked by subclonal diversity and dynamic adaptation amid developmental hierarchies1-3. However, the source for dynamic reorganization of cellular states within their spatial context remains elusive. Here, we in-depth characterized glioblastomas by spatially resolved transcriptomics, metabolomics and proteomics. By deciphering exclusive and shared transcriptional programs across patients, we inferred that glioblastomas develop along defined neural lineages and adapt to inflammatory or metabolic stimuli reminiscent of reactive transformation in mature astrocytes. Metabolic profiling and imaging mass cytometry supported the assumption that tumor heterogeneity is dictated by microenvironmental alterations. Analysis of copy number variation (CNV) revealed a spatially cohesive organization of subclones associated with reactive transcriptional programs, confirming that environmental stress gives rise to selection pressure. Deconvolution of age-dependent transcriptional programs in malignant and non-malignant specimens identified the aging environment as the major driver of inflammatory transformation in GBM, suggesting that tumor cells adopt transcriptional programs similar to inflammatory transformation in astrocytes. Glioblastoma stem cells implanted into human neocortical slices of varying age levels, independently confirmed that the ageing environment dynamically shapes the intratumoral heterogeneity towards reactive transcriptional programs. Our findings provide insights into the spatial architecture of glioblastoma, suggesting that both locally inherent tumor as well as global alterations of the tumor microenvironment shape its transcriptional heterogeneity. Global age-related inflammation in the human brain is driving distinct transcriptional transformation in glioblastomas, which requires an adjustment of the currently prevailing glioma models.

cancer biology↗

bioRxiv2020

Inferring spatially transient gene expression pattern from spatial transcriptomic studies

Spatial transcriptomic is a technology to provide deep transcriptomic profiling by preserving the spatial organization. Here, we present a framework for SPAtial Transcriptomic Analysis (SPATA, https://themilolab.github.io/SPATA), to provide a comprehensive characterization of spatially resolved gene expression, regional adaptation of transcriptional programs and transient dynamics along spatial trajectories.

bioinformatics↗

bioRxiv2020

Lineage and Spatial Mapping of Glioblastoma-associated Immunity

The diversity of molecular states and cellular plasticity of immune cells in the glioblastoma environment is still poorly understood. Here, we performed scRNA sequencing of the immune compartment and mapped potential cellular interactions leading to an immunosuppressive microenvironment and dysfunction of T cells. Through inferring the dynamic adaptation during T cell activation, we identified three different terminal states with unique transcriptional programs. Modeling of driver genes for terminal T cell fate identified IL-10 signaling alterations in a subpopulation of HAVCR2(+) T cells. To explore in depth cellular interactions, we established an in-silico model by the integration of spatial transcriptomic and scRNA-sequencing, and identified a subset of HMOX1+ myeloid cells defined by IL10 release leading to T cell exhaustion. We found a spatial overlap between HMOX(+) myeloid and HAVCR2(+) T cells, suggesting that myeloid-lymphoid interaction causes immunosuppression present in tumor regions with enriched mesenchymal gene expression. Using human neocortical GBM model, coupled with patient-derived T cells, we confirmed that the functional interaction between myeloid and lymphoid cells, leads to a dysfunctional state of T cells. This IL-10 driven T cell exhaustion was found to be rescued by JAK/STAT inhibition. A comprehensive understanding of the cellular states and plasticity of lymphoid cells in GBM will aid towards successful immunotherapeutic approaches.

cancer biology↗

bioRxiv2017

When a rose is not a rose: Pyramidal neurons respond differently in healthy and epileptic human neocortex

Epilepsy affects a huge number of patients by severe disruption of brain functions and is characterised by recurrent seizures, sometimes hard to be treated by medications. Seizure induced cellular consequences in ionic gradient and homeostasis are expected to result in electrophysiological differences between epileptic and non-epileptic neurons.\n\nIn the following work we demonstrate these differences in layer III cortical pyramidal neurons sourced from epileptic and non-epileptic human patient tissue. Although visually indistinguishable and featuring similar membrane potentials and latency to first spikes upon whole cell patch stimulation, epileptic pyramidal neurons display a larger rheobase and a smaller membrane resistance, responding less efficiently to electrical stimulation than their peri-tumorous equivalents. This decreased excitability contradicts results in comparable animal models of epilepsy and was further corroborated by detailed analysis of spiking characteristics and phase plot analysis of these events. Both point to an overexpression of K+ channels trying to compensate for the hyperexcited, epileptic network state. A computational model of a pyramidal neuron was utilized to give an estimate of the needful relative changes in K+ and Na+ conductances.

neuroscience↗

bioRxiv2017

When the ostrich-algorithm fails: Blanking method affects spike train statistics

1.Electrophysiological recordings of neuronal tissue face particular challenges when attempted during electrical stimulation, both in vivo and in vitro. Electrical stimulation may produce undesired electronic artifacts and thus render the recorded signal only partially useful. A commonly used remedy for these artifacts is to temporarily ground the input during the stimulation pulses. In the following study, we quantify the effects of this method on the spike train count, which is called \"blanking\". Starting a from theoretical standpoint, we deduce a loss of countable action potentials, depending on: width of the blanking window, Frequency of stimulation and neuronal activity. Calculations are corroborated by actual high SNR single cell recordings. We have to state, for therapeutically relevant frequencies of 130 Hz and realistic blanking windows of 2 ms, up to 27% of actual existing spikes are lost. We strongly advice careful and controlled use of blanking circuits when spike rate quantification is attempted.

neuroscience↗