Biology subjects

Meyer-Hermann, M.

Publications and source records attributed to Meyer-Hermann, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Villin-SNAP25 interaction regulates insulin secretion downstream of ICA512 signaling

Pancreatic islet {beta}-cells step-up insulin production and secretion in response to the elevation of blood glucose levels. ICA512/PTPRN is a transmembrane cargo of the insulin secretory granules (SGs). Upon SG exocytosis, its Ca2+/calpain mediated cleavage at the plasma membrane generates an ICA512-cleaved cytosolic fragment (ICA512-CCF) which as a decoy phosphatase prolongs phospho-STAT5/3 activities, thereby enhancing the transcription of mRNAs for SG cargoes, including insulin and its own, to replenish SG stores. In addition, ICA512 positively regulates the expression of F-actin modifier villin. Villin, in turn, modulates the size of actin cages surrounding cortical SGs, hence regulating SG mobility and exocytosis. Here we show that villin controls the number of SG docking sites for exocytosis by directly interacting at low glucose with the t-SNARE SNAP-25, thus restricting in this condition SG access to fusion sites and insulin release. Replacement of ICA512-CCF N-terminal ubiquitin-acceptor lysine 609 (K609) with valine (V) stabilized ICA512-CCF in insulinoma cells and homozygous ICA512K609V mice and enhanced the levels of phospho-STAT5/3 and villin. In ICA512K609V female mice these molecular traits correlated with reduced body weight, improved insulin sensitivity, reduced basal insulin secretion and onset time for glucose stimulated insulin secretion. Taken together, these data demonstrates that SG exocytosis induced ICA512 retrograde signaling acts in concert with the novel SNARE complex regulator villin to plastically adapt {beta}-cell actin cytoskeleton and access to SG docking sites for optimal control of insulin secretion in response to variations in extracellular glucose levels. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/699220v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@37d835org.highwire.dtl.DTLVardef@5389f1org.highwire.dtl.DTLVardef@855d98org.highwire.dtl.DTLVardef@1c3c639_HPS_FORMAT_FIGEXP M_FIG Graphical abstract Model of ICA512 and STAT3/5-dependent regulation of -cell function. At basal conditions, villin limits secretory granule (SG) docking by interacting with SNAP-25, restricting insulin release (1). Increased metabolic load triggers hyperglycemia-induced ICA512 processing and growth factor-mediated STAT3/5 phosphorylation (2-4), enhancing ISG mRNAs, granule biogenesis, and villin expression (5,6). Villin modulates SNARE protein availability, controlling SG docking and secretion. Together, ICA512 retrograde signaling and villin-mediated SNARE regulation dynamically remodel the -cell actin cytoskeleton, adjusting SG docking site access to ensure appropriate insulin secretion in response to fluctuating glucose levels. C_FIG

cell biology↗

bioRxiv2025

Multiple broadly neutralizing antibody lineages can co-exist and mature in the same germinal centres

An efficacious HIV vaccine will need to generate broadly neutralizing antibodies (bnAbs) against distinct viral epitopes. To facilitate this, immunogens targeting precursor B cells of bnAbs have been developed. With this strategy, individual immunogens can even target multiple lineages, thereby beneficially limiting the number of immunogens needed for a multi-bnAb generating vaccine. However, it is unclear whether this diminishes responses compared to isolated targeting of lineages with distinct immunogens. Here, we address this using an in silico model of naive B cell activation and affinity maturation in germinal centres. By incorporating (i) precursor properties and (ii) epitope masking by antibodies obtained from germinal centre-derived plasma cells, the model recapitulated features of bnAb lineage evolution as seen in pre-clinical mouse models. Subsequent model analysis suggested that under physiologically relevant conditions, priming of multiple bnAb lineages with a single immunogen was additive, thus, supporting the development of vaccines that target multiple lineages.

immunology↗

bioRxiv2025

Lymphatic constraint of germinal centers optimizes protective antibody responses

Immunization strategies are central to pathogen control, where efficacy relies on antigen uptake, distribution, persistence, and inflammatory context. We recently demonstrated that dermal lymphatic capillaries regulate antigen presentation in lymph nodes (LN) by restraining fluid and virion transport following vaccinia virus (VACV) infection by skin scarification. Concurrently, a perifollicular, LN lymphangiogenic response encapsulates expanding B cell follicles. Given the important role of antigen transport and uptake on humoral immunity, we tested the hypothesis that lymphatic remodeling in the skin and LNs regulates germinal center (GC)-dependent antibody responses during infection. Using a model of lymphatic-specific VEGFR2 inhibition, we found that inhibiting viral-induced lymphatic remodeling in skin and LNs prompted significant GC expansion but paradoxically decreases protective VACV-specific class-switched antibodies. While the larger GC responses appeared structurally normal, they failed to support a proliferative burst consistent with clonal selection. Mathematical modeling revealed that this disconnect between GC size and function arises from impaired productive T follicular cell interactions in larger GC volumes and consistent with this finding, the optimal GC size was evolutionarily conserved across diverse mammals. Finally, we found that the presence of virus in the LN initiates these changes in GC function, inhibits LN lymphangiogenesis, increases B cell follicle size, and reduces selection efficiency. Therefore, protecting LN lymphatic vessels from virus-induced interferons rescues perifollicular lymphatic growth and follicle size, indicating that LN lymphangiogenesis directly constrains the follicular response. In summary, this study underscores the central role of lymphatic remodeling in compartmentalizing antigen and inflammatory signals to optimize GC fitness and protective antibody responses.

immunology↗

bioRxiv2023

Suppressive might of a few: T follicular regulatory cells impede auto-reactivity despite being outnumbered in the germinal centres

The selection of high-affinity B cells and the production of high-affinity antibodies are mediated by T follicular helper cells (Tfhs) within germinal centres (GCs). Therein, somatic hypermutation and selection enhance B cell affinity but risk the emergence of self-reactive B cell clones. Despite being outnumbered compared to their helper counterpart, the ablation of T follicular regulatory cells (Tfrs) results in enhanced dissemination of self-reactive antibody-secreting cells (ASCs). The specific mechanisms by which Tfrs exert their regulatory action on self-reactive B cells are largely unknown. We developed computer simulations to investigate how Tfrs regulate either selection or differentiation of B cells to prevent auto-reactivity. We observed that Tfr-induced apoptosis of self-reactive B cells during the selection phase impedes self-reactivity with physiological Tfr numbers, especially when Tfrs can access centrocyte-enriched GC areas. While this aided in selecting non-self-reactive B cells by restraining competition, higher Tfr numbers distracted non-self-reactive B cells from receiving survival signals from Tfhs. Thus, the location and number of Tfrs must be regulated to circumvent such Tfr distraction and avoid disrupting GC evolution. In contrast, when Tfrs regulate differentiation of selected centrocytes by promoting recycling to the dark zone phenotype of self-reactive GC resident pre-plasma cells (GCPCs), higher Tfr numbers were required to impede the circulation of self-reactive ASCs (s-ASCs). On the other hand, Tfr-engagement with GCPCs and subsequent apoptosis of s-ASCs can control self-reactivity with low Tfr numbers, but does not confer selection advantage to non-self-reactive B cells. The simulations predict that to restrict auto-reactivity, natural redemption of self-reactive B cells is insufficient and that Tfrs should increase the mutation probability of self-reactive B cells.

immunology↗

bioRxiv2023

High-resolution mapping of cell-cycle dynamics during steady-state T-cell development and regeneration in vivo

Control of cell proliferation is critical for the lymphocyte life cycle. However, little is known on how stage-specific alterations in cell cycle behavior drive proliferation dynamics during T-cell development. Here, we employed in vivo dual-nucleoside pulse labeling combined with determination of DNA replication over time as well as fluorescent ubiquitination-based cell cycle indicator mice to establish a quantitative high-resolution map of cell cycle kinetics of thymocytes. We developed an agent-based mathematical model of T-cell developmental dynamics. To generate the capacity for proliferative bursts, cell cycle acceleration followed a stretch model, characterized by simultaneous and proportional contraction of both G1 and S phase. Analysis of cell cycle phase dynamics during regeneration showed tailored adjustments of cell cycle phase dynamics. Taken together, our results highlight intrathymic cell cycle regulation as an adjustable system to maintain physiologic tissue homeostasis and foster our understanding of dysregulation of the T-cell developmental program.

immunology↗

bioRxiv2023

Germinal centers are permissive to subdominant antibody responses

A protective humoral response to pathogens requires the development of high affinity antibodies in germinal centers (GC). The combination of antigens available during immunization has a strong impact on the strength and breadth of the antibody response. Antigens can display various levels of immunogenicity, and a hierarchy of immunodominance arises when the GC response to an antigen dampens the response to other antigens. Immunodominance is a challenge for the development of vaccines to mutating viruses, and for the development of broadly neutralizing antibodies. The extent by which antigens with different levels of immunogenicity compete for the induction of high affinity antibodies and therefore contribute to immunodominance is not known. Here, we perform in silico simulations of the GC response, using a structural representation of antigens with complex surface amino acid composition and topology. We generate antigens with different levels of immunogenicity and perform simulations with combinations of these antigens. We found that GC dynamics were driven by the most immunogenic antigen and immunodominance arose as affinity maturation to less immunogenic antigens was inhibited. However, this inhibition was moderate since the less immunogenic antigen exhibited a weak GC response in the absence of other antigens. Less immunogenic antigens reduced the dominance of GC responses to more immunogenic antigens, albeit at a later time point. The simulations suggest that increased vaccine valence may decrease immunodominance of the GC response to strongly immunogenic antigens and therefore, act as a potential strategy for the natural induction of broadly neutralizing antibodies in GC reactions.

systems biology↗

bioRxiv2022

Amount of antigen, T follicular helper cells and quality of seeder cells shape the diversity of germinal center B cells

A variety of B cell clones seed the germinal centers, where a selection stringency expands the fitter clones to generate higher affinity antibodies. However, recent experiments suggest that germinal centers often retain a diverse set of B cell clones with a range of affinities and concurrently carry out affinity maturation. Amid a tendency to flourish germinal centers with fitter clones, how several B cell clones with differing affinities can be concurrently selected remains poorly understood. Such a permissive selection may allow non-immunodominant clones, which are often rare and of low-affinity, to somatically hypermutate and result in a broad and diverse B cell response. How the constituent elements of germinal centers, their quantity and kinetics may modulate diversity of B cells, has not been addressed well. By implementing a state-of-the-art agent-based model of germinal center, here, we study how these factors impact temporal evolution of B cell clonal diversity and its underlying balance with affinity maturation. While we find that the extent of selection stringency dictates clonal dominance, limited antigen availability on follicular dendritic cells is shown to expedite the loss of diversity of B cells as germinal centers mature. Intriguingly, the emergence of a diverse set of germinal center B cells depends on high affinity founder cells. Our analysis also reveals a substantial number of T follicular helper cells to be essential in balancing affinity maturation with clonal diversity, as a low number of T follicular helper cells impedes affinity maturation and also contracts the scope for a diverse B cell response. Our results have implications for eliciting antibody responses to non-immunodominant specificities of the pathogens by controlling the regulators of the germinal center reaction, thereby pivoting a way for vaccine development to generate broadly protective antibodies.

immunology↗

bioRxiv2020

Rate of immune complex cycling in follicular dendritic cell determines the extent of protecting antigen integrity and availability to germinal center B cells

Follicular Dendritic Cells (FDCs) retain immune complexes (ICs) for prolonged time periods and are important for germinal center (GC) reactions. ICs undergo periodic cycling in FDCs, a mechanism supporting an extended half-life of antigen. Based on experimental data we estimated that the average residence time of Phycoerythrin-ICs (PE-ICs) on FDC surface and interior were 21 and 36 minutes, respectively. GC simulations show that antigen cycling might impact GC dynamics due to redistribution of antigen on the FDC surface and by protecting antigen from degradation. Antigen protection and influence on GC dynamics varied with antigen cycling time and total antigen concentration. Simulations predict that blocking antigen cycling terminates the GC reaction and decreases plasma cell production. Considering that cycling of antigen could be a target for the modulation of GC reactions, our findings highlight the importance of understanding the mechanism and regulation of IC cycling in FDCs.

immunology↗

bioRxiv2020

Cyclin D3 drives inertial cell cycling in dark zone germinal center B cells

During affinity maturation, germinal center (GC) B cells alternate between proliferation and so-matic hypermutation in the dark zone (DZ) and affinity-dependent selection in the light zone (LZ). This anatomical segregation imposes that the vigorous proliferation that allows clonal expansion of positively-selected GC B cells takes place ostensibly in the absence of the signals that triggered selection in the LZ, as if by "inertia." We find that such inertial cycles specifically require the cell cycle regulator cyclin D3. Cyclin D3 dose-dependently controls the extent to which B cells proliferate in the DZ and is essential for effective clonal expansion of GC B cells in response to strong T follicular helper (Tfh) cell help. Introduction into the Ccnd3 gene of a Burkitt lymphoma-associated gain-of-function mutation (T283A) leads to larger GCs with increased DZ proliferation and, in older mice, to clonal B cell lymphoproliferation, suggesting that the DZ inertial cell cycle program can be coopted by B cells undergoing malignant transformation.

immunology↗

bioRxiv2020

Influenza A virus-induced thymus atrophy differentially affects dynamics of conventional and regulatory T cell development

Foxp3+regulatory T (Treg) cells, which are crucial for maintenance of self-tolerance, mainly develop within the thymus, where they arise from CD25+Foxp3-or CD25-Foxp3+ Treg cell precursors. Although it is known that infections can cause transient thymic involution, the impact of infection-induced thymus atrophy on thymic Treg (tTreg) cell development is unknown. Here, we infected mice with influenza A virus (IAV) and studied thymocyte population dynamics post infection. IAV infection caused a massive, but transient thymic involution, dominated by a loss of CD4+CD8+ double-positive (DP) thymocytes, which was accompanied by a significant increase in the frequency of CD25+Foxp3+ tTreg cells. Differential apoptosis susceptibility could be experimentally excluded as a reason for the relative tTreg cell increase, and mathematical modeling suggested that enhanced tTreg cell generation cannot explain the increased frequency of tTreg cells. Yet, an increased death of DP thymocytes and augmented exit of single-positive (SP) thymocytes was suggested to be causative. Interestingly, IAV-induced thymus atrophy resulted in a significantly reduced T cell receptor (TCR) repertoire diversity of newly produced tTreg cells. Taken together, IAV-induced thymus atrophy is substantially altering the dynamics of major thymocyte populations, finally resulting in a relative increase of tTreg cells with an altered TCR repertoire.

immunology↗

bioRxiv2020

Brain geometry matters in Alzheimer disease progression: a simulation study

The Amyloid cascade hypothesis (ACH) for Alzheimers disease (AD) is modeled over the whole brain tissue with a set of partial differential equations. Our results show that the amyloid plaque formation is critically dependent on the secretion rate of amyloid {beta} (A{beta}), which is proportional to the product of neural density and neural activity. Neural atrophy is similarly related to the secretion rate of A{beta}. Due to a heterogeneous distribution of neural density and brain activity throughout the brain, amyloid plaque formation and neural death occurs heterogeneously in the brain. The geometry of the brain and microglia migration in the parenchyma bring more complexity into the system and result in a diverse amyloidosis and dementia pattern of different brain regions. Although the pattern of amyloidosis in the brain cortex from in-silico results is similar to experimental autopsy findings, they mismatch at the central regions of the brain, suggesting that ACH is not able to explain the whole course of AD without considering other factors, such as tau-protein aggregation or neuroinflammation.

systems biology↗

bioRxiv2020

Agent-Based Modeling of T Cell Receptor Cooperativity

Immunological synapse (IS) formation is a key event during antigen recognition by T cells. Recent experimental evidence suggests that the affinity between T cell receptors (TCRs) and antigen is actively modulated during the early steps of TCR signaling. In this work, we used an agent-based model to study possible mechanisms for affinity modulation during IS formation. We show that, without any specific active mechanism, the observed affinity between receptors and ligands evolves over time, and depends on the density of ligand pMHC (antigen peptide presented by major histocompatibility complexes) and TCR molecules. Comparison between the presence or absence of TCR-pMHC centrally directed flow due to F-actin coupling suggest centripetal transport is a potential mechanism for the affinity modulation. The model further suggests that the time point of affinity measurement during immune synapse formation is critical. Finally, a mathematical model of F-actin foci formation incorporated in the agent-based model, shows that TCR affinity can potentially be actively modulated by a positive/negative feedback of F-actin foci on the TCR-pMHC association rate kon.Competing Interest StatementThe authors have declared no competing interest.AbbreviationsView Full Text

systems biology↗

bioRxiv2020

Bayesian combination of mechanistic modeling and machine learning (BaM3): improving clinical tumor growth predictions

In clinical practice, a plethora of medical examinations are conducted to assess the state of a patients pathology producing a variety of clinical data. However, exploiting these data faces the following challenges: (C1) we lack the knowledge of the mechanisms involved in regulating these data variables, and (C2) data collection is sparse in time since it relies on patients clinical presentation. (C1) implies that only a small subset of the relevant variables can be modeled by virtue of mathematical modeling. This limitation allows models to be effective in analyzing the qualitative dynamics of the system, but limits their predictive accuracy. On the other hand, statistical learning methods are well-suited for quantitative reproduction of data, but they do not provide mechanistic understanding of the investigated problem. Moreover, due to (C2) any algorithm is challenged in learning the corresponding disease dynamics. Herein, we propose a novel method, based on the Bayesian coupling of mathematical modeling and machine learning (BaM3), aiming at improving individualized predictions by addressing the aforementioned challenges. As a proof of concept, we evaluate the proposed method on a synthetic dataset for brain tumor growth and analyze its performance in predicting two major clinical outputs, namely tumor burden and infiltration. The BaM3 method results in improved predictions in almost all simulated patients, especially for those with a late clinical presentation. In addition, we test the proposed methodology in two settings dealing with real patient cohorts. In both cases, namely cancer growth in chronic lymphocytic leukemia and ovarian cancer, BaM3 predictions show excellent agreement with reported clinical data.

bioinformatics↗

bioRxiv2020

Intrinsic defects in lymph node stromal cells underpin poor germinal center responses during aging

The failure to generate enduring humoral immunity after vaccination is a hallmark of advancing age. This can be attributed to a reduction in the germinal center response, which generates long-lived antibody-secreting cells that provide protection against (re)infection. Despite intensive investigation into the effect of age on the lymphoid compartment, the primary cellular defect that causes impaired germinal centers in aging has not been identified. Herein we demonstrate that aging reduces the capacity of germinal center-associated stromal cells to respond to vaccination. Heterochronic parabiosis and mathematical modeling demonstrate that a poor stromal cell response limits the size of the germinal center. This study reveals that age-associated defects in stromal cells are a significant barrier to efficacious vaccine responses in older individuals.

immunology↗

bioRxiv2020

An adaptive control scheme for Interleukin-2 therapy

Regulatory T cells (Treg) are suppressor cells that control self-reactive and excessive effector conventional helper T cell (Tconv) responses. Breakdown of the balance between Tregs and Tconvs is a hallmark of autoimmune and inflammatory diseases. Due to the positive dependency of both populations on Interleukin-2 (IL-2), it is subtle leverage to restore the healthy immune balance. By employing a mechanistic mathematical model, we studied the IL-2 therapy in order to increase and stabilize Treg population and restrict inflammatory Tconv response. We introduced an adaptive control strategy to design the minimal IL-2 dosage. This adaptive strategy allows for an individualized therapy based on the feedback of immune kinetics of the patient. Our in silico results suggest that a minimal Treg population is required to restrict the transient side-effect of IL-2 injections on the effector Tconv response. The combination of IL-2 and adoptive Treg transfer therapies is able to limit this side effect in our simulations. Implications of our in silico results are discussed in the context of autoimmunity and transplantation.

immunology↗

bioRxiv2020

Rescue Ebola Patients in silico

Ebola, one of the most pathogenic and lethal viruses, repeatedly leads to severe outbreaks with large numbers of casualties. By integration of data of fatal, non-fatal and asymptomatic cases, we developed a mathematical model of the immune response to Ebola infections and found that TNF- can explain subsequent cytokine responses and allows to quantitatively stratify patients into survivors and fatal cases. The model further suggests that antibodies provide the key resolving mechanism in survivors while IFN-{gamma} is the key defense mechanism in fatal cases. Exogenous IFN-{gamma} and inhibition of excessive inflammation have the potential to rescue fatal Ebola infections in silico. In view of the high mortality of this disease, limited real life studies, and the unforeseeable next outbreak, our in silico analysis is meant as a guide for future research by the determination of the most efficient strategies for Ebola treatment.

systems biology↗

bioRxiv2020

Germinal center B cells separate signals for selectionand division like compact discs

Selection of B cells in germinal center (GC) reactions is pivotal to the generation of high affinity antibodies and memory B cells. Knowledge about B cell selection is limited to individual interactions and lacks global understanding. Here, seemingly contradictory experiments are unified in a common concept by separation of signals for the frequency of fate decision from the strength of cell division, which can then be controlled independently, similar to the separation of frequency and amplitude in digital audio signals. Based on this concept of information processing, three theories of B cell selection are developed that can be distinguish by predicted experiments drawn from computer simulations. Understanding encoding of information in molecular states is critical for targeted immune interventions.

immunology↗

bioRxiv2020

Murine Staphylococcus aureus chronic infection is cured by theory-driven therapy

Staphylococcus aureus is considered a dangerous pathogen due to its ability to evade the immune system and resist multiple antibiotics. These evasive strategies lead to difficult-to-treat chronic infections and abscesses in internal organs including kidneys, which are associated with the expansion of myeloid-derived suppressor cells (MDSCs) and their suppressive effect on T cells. Here, we developed a mathematical model of chronic S. aureus infection that incorporates the T-cell suppression by MDSCs and suggests therapeutic strategies to eradicate S. aureus. We quantified in silico a therapeutic protocol with heat-killed S. aureus (HKSA), which we tested in vivo. Contrary to conventional administration of heat-killed bacteria as vaccination prior to infection, we administered HKSA as treatment, when the hosts were already chronically infected. Our treatment cured all chronically S. aureus-infected mice, reduced MDSCs, and reversed T-cell dysfunction by inducing acute inflammation during ongoing, chronic infection without any use of standard treatments that involve antibiotics, MDSC-targeting drugs (chemotherapy), or procedures such as abscess drainage. This study is a proof-of-principle for a treatment protocol against chronic S. aureus infection and renal abscesses by repurposing heat-killed treatments, guided and quantified by mathematical modelling. Our mathematical model further explains why previous treatment with inactivated S. aureus administered to long-term infected human patients has not led to cure. Overall, our results can have direct relevance to the design of human therapeutics against chronic S. aureus infections. In briefA theory-driven treatment protocol with heat-killed S. aureus eradicates S. aureus, reduces MDSCs, and reverses T-cell dysfunction in vivo. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=157 HEIGHT=200 SRC="FIGDIR/small/910786v3_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@1e2d0c9org.highwire.dtl.DTLVardef@1f97374org.highwire.dtl.DTLVardef@b0235org.highwire.dtl.DTLVardef@bdf2ee_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗