Biology subjects

Voigt, K.

Publications and source records attributed to Voigt, K..

15 recordsLinked to original sources

bioRxiv2026

Interaction Patterns of Mucormycotina Fungi with Professional Phagocytes and Amoebae: A Comparative Phylogenetic and Geographic Survey on Clinical and Environmental Species

Mucormycosis is among the most lethal fungal infections in clinical medicine, with crude mortality rates between 50 and 90% that have improved little over decades of antifungal development. Alveolar macrophages constitute the primary cellular defense against inhaled Mucorales spores, yet quantitative comparative data on phagocytic outcomes across the taxonomic breadth of this fungal order are absent from the literature. We co-incubated 62 Mucorales strains drawn from nine phylogenetic groups and 12 countries with MH-S murine alveolar macrophages and with Dictyostelium discoideum amoeba, at multiplicities of infection (MOI) of 1 and 5 and at incubation times of 1.5 and 3 hours. Automated phagocytic index quantification was combined with spore morphometric measurements and geographic metadata. Macrophage phagocytic indices differed highly significantly among the nine phylogenetic groups across all experimental conditions (Kruskal-Wallis H = 394-780; p = 10^-163 to 10^-74). Group 1 (Absidia and Cunninghamella species) showed the lowest phagocytic index; Groups 5 (Rhizopus arrhizus) and 6 (Gilbertella persicaria and Mycotypha species) showed the highest. Larger spore area correlated negatively with macrophage phagocytic index. In the central comparative finding, Spearman rank correlations between macrophage and D. discoideum phagocytic indices were near zero across all four conditions (r = -0.07 to +0.11; all p > 0.8), demonstrating that protozoan phagocytosis does not predict the mammalian macrophage phagocytic hierarchy. Kinetic analysis further revealed, for the first time in any Mucorales or Mucormycotina species, evidence of vomocytosis in MH-S macrophages challenged with Group 8 (Mucor clade II) spores at MOI 1, and in D. discoideum across four groups at MOI 5 after 3 hours. These findings establish a quantitative, phylogenetically resolved framework for Mucorales innate immune recognition, demonstrate that the evolutionary training ground hypothesis does not hold at the order level for Mucorales, and identify vomocytosis as a previously unrecognised immune evasion mechanism in Mucormycotina.

microbiology↗

bioRxiv2024

Metabolic connectivity in ageing.

Information transfer across the brain has a high energetic cost and requires the efficient use of glucose. Positron emission tomography (PET) studies have shown that ageing is associated with a decline in regional rates of cerebral glucose metabolism. However, until recently, it has not been possible to measure the timecourse of molecular activity within an individual using PET, preventing the study of metabolic network connectivity across the brain. Here we report the results of the first high temporal resolution functional PET study examining metabolic connectivity and cognitive function in ageing. The metabolic connectomes of 40 younger (mean age 27.9 years; range 20-42) and 46 older (mean 75.8; 60-89) adults were characterised by high connectivity strength in the frontal, temporal, motor, parietal and medial cortices. Ageing was associated with lower global integration of metabolic hub regions, indicating disrupted information transfer across the metabolic network in older adults. In younger adults, a high proportion of glucose was used to support hubs in the frontal regions. Older adults had a smaller energy budget in comparison to younger adults, and older adults used a higher proportion of energy to support mostly posterior hub regions. This difference in the metabolic network topology in older adults was associated with worse cognitive performance. We conclude that ageing is associated with reduced metabolic connectivity, an altered metabolic network topology and a high glucose cost in hub regions. Our results highlight the fundamental role that metabolism plays in supporting information transfer in the brain and the unique insights that metabolic connectivity provides into the ageing brain.

neuroscience↗

bioRxiv2024

Insulin resistance alters the coupling between cerebral blood flow and glucose metabolism in younger and older adults: Implications for neurovascular coupling

Rising rates of insulin resistance and an ageing population are set to exact an increasing toll on individuals and society. Here we examine the contribution of insulin resistance and age to the coupling of cerebral blood flow and glucose metabolism; a critical process in the supply of energy for the brain. Thirty-four younger (20-42 years) and 41 older (66-86 years) healthy adults underwent a simultaneous resting state MR/PET scan, including arterial spin labelling. Rates of cerebral blood flow and glucose metabolism were derived using a functional atlas of 100 brain regions. Older adults had lower cerebral blood flow than younger adults in 95 regions, reducing to 36 regions after controlling for cortical atrophy and blood pressure. Younger and older insulin sensitive adults showed small, negative correlations between relatively high rates of regional cerebral blood flow and glucose metabolism. This pattern was inverted in insulin resistant older adults, who showed hypoperfusion and hypometabolism across the cortex, and a positive coupling. In insulin resistant younger adults, coupling showed inversion to positive correlations, although not to the extent seen in older adults. Our findings suggest that the normal course of ageing and insulin resistance alter the rates and coupling of cerebral blood flow and metabolism. They underscore the criticality of insulin sensitivity to brain health across the adult lifespan.

neuroscience↗

bioRxiv2023

Int&in: a machine learning-based web server for split site identification in inteins

Inteins are proteins that excise themselves out of host proteins and ligate the flanking polypeptides in an auto-catalytic process called protein splicing. They are gaining momentum in synthetic biology for their ability to post-translationally modify proteins of interest. In nature, inteins are either contiguous or split, in which case the two intein fragments must first form a complex for the splicing to occur. So far, heuristic methods have been employed whenever a new split site in an intein had to be identified. To make the process of split site identification in inteins faster, easier and less costly, we developed Int&in, a web server that uses a gaussian Naive Bayes machine learning model to predict active and inactive split sites with high accuracy. The model was trained on a data set generated by us and validated using a large diverse data set from the literature, resulting in an accuracy of 0.76. Int&in will facilitate the engineering of novel split inteins for applications in biotechnology and synthetic biology.

synthetic biology↗

bioRxiv2023

Metabolic rates of glucose in the brain networks of healthy adults vary as a function of age and levels of peripheral insulin resistance, and predict cognition

People with insulin resistance are at increased risk for cognitive decline. Insulin resistance has previously been considered primarily a condition of ageing but it is increasingly seen in younger adults. Here, we explore the question that changes in insulin function in early adulthood have both proximal effects, and moderate or even accelerate changes in cerebral metabolism in ageing. Thirty-six younger (mean 27.8 years) and 43 older (mean 75.5) participants completed a battery of tests, including blood sampling, cognitive assessment and a simultaneous PET/MR scan. Cortical thickness and cerebral metabolic rate of glucose were derived for 100 regions and 17 functional networks. Older adults had lower rates of regional cerebral glucose metabolism than younger adults across the brain even after adjusting for lower cortical thickness in older adults. In younger adults, higher insulin resistance was associated with attenuated rates of regional cerebral glucose metabolism, but this was not seen in older adults. The largest effects of insulin resistance in younger adults were in prefrontal, parietal and temporal regions; and in the control, salience ventral attention, default and somatomotor networks. Higher rates of network glucose metabolism were associated with lower reaction time and psychomotor speed. Higher levels of insulin resistance were associated with lower working memory. Our results underscore the importance of insulin sensitivity to brain health and cognitive function across the adult lifespan, even in early adulthood. Significance StatementWe show that preventing insulin resistance in early adulthood is important for ensuring efficient fuel supply for the brain and the maintenance of cognitive health across the adult lifespan. Glucose is the primary source of energy for the brain. Decreased glucose metabolism in the brain due to clinically significant levels of insulin resistance is associated with cognitive impairment. Although sub-clinical levels of insulin resistance have also been associated with brain changes, their impact on cerebral metabolism in healthy individuals is unclear. We showed for the first time that - while older adults have lower rates of cerebral metabolism - peripheral insulin resistance attenuates cerebral metabolism more so in healthy younger than healthy older adults, and impairs working memory.

neuroscience↗

bioRxiv2022

Deficiency in hyaluronan synthase 3 attenuates ruptures in a murine model of abdominal aortic aneurysms by reduced aortic monocyte infiltration

Abdominal aortic aneurysms (AAA) are a common vascular disorder with a high mortality due to the prevalence of aortic ruptures. The underlying pathomechanisms are complex and involve immune cell infiltration and degradation of the vascular extracellular matrix (ECM). Hyaluronan (HA), synthesized at the plasma membrane by three HA synthase isoenzymes (HAS1-3), is not only a major constituent of the ECM but also known to directly affect the phenotype of vascular smooth muscle cells as well as immunological responses. Specifically, the HAS3 isoenzyme has been reported to play a major role in various inflammatory conditions. Therefore, the aim of the present study was to elucidate the role of HAS3-derived HA in the pathogenesis of abdominal aortic aneurysm. To this end, we used a murine model of Angiotensin II (AngII)-induced abdominal aortic aneurysms and dissections (AAAs/AADs) and could demonstrate that genetic depletion of Has3 improves survival in Apoe/Has3 double deficient (Apoe/Has3-DKO) mice via the reduced occurrence of aortic ruptures. Mechanistically, fewer elastica breaks were observed in Apoe/Has3-DKO mice compared to Apoe-KO littermates. This was associated with a decreased infiltration of myeloid immune cells into the vessel wall of Has3-deficient mice while in parallel elevated numbers of circulating leukocytes were detected. RNA seq analysis from aortic tissue pointed towards a disturbed endothelial-myeloid cell communication as a cause for the diminished recruitment of immune cells to the aortic wall. While endothelial cells were unaffected, upregulation of adhesion receptors as well as the HA receptor CD44, known to mediate leukocyte adhesion to the endothelium, was blunted in monocytes from Apoe/Has3-DKO mice in response to AngII treatment. These findings underline the pivotal detrimental role of monocytes HAS3-dependent pericellular HA matrix for an exaggerated immune cell recruitment to inflammatory foci giving here rise for an increased incidence of ruptured aortic aneurysms.

immunology↗

bioRxiv2022

Multimodal, multiscale connectivity blueprints of the cerebral cortex

The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, and synchronized neural activity all represent brain connectivity, a comprehensive study of how all these connectivity modes jointly reflect brain structure and function remains missing. Here we systematically integrate seven multimodal, multiscale brain connectivity profiles derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, and electrophysiology. We uncover a compact set of universal organizational principles through which brain geometry and neuroanatomy shape emergent connectivity modes. Connectivity modes also exhibit unique and diverse connection patterns, hub profiles, dominant gradients, and modular organization. Throughout, we observe a consistent primacy of molecular connectivity modes--namely correlated gene expression and receptor similarity--that map well onto multiple phenomena including the rich club and patterns of cortical abnormalities across 13 neurological, psychiatric, and neurodevelopmental disorders. Finally, we fuse all seven connectivity modes into a single multimodal network and show that it maps onto major organizational features of the brain including structural conenctivity, intrinsic functional networks, and cytoarchitectonic classes. Altogether, this work contributes to next-generation connectomics and the integrative study of inter-regional relationships.

neuroscience↗

bioRxiv2022

The maternal brain is more flexible and responsive at rest: effective connectivity of the parental caregiving network in postpartum mothers

The field of neuroscience has largely overlooked the impact of motherhood on brain function outside the context of responses to infant stimuli. Here, we apply spectral dynamic causal modelling (spDCM) to resting-state fMRI data to investigate differences in brain function between a group of 40 first-time mothers at one-year postpartum and 39 age- and education-matched women who have never been pregnant. Using spDCM, we investigate the directionality (top-down vs bottom-up) and valence (inhibition vs excitation) of functional connections between six key brain regions implicated in motherhood: the dorsomedial prefrontal cortex, ventromedial prefrontal cortex, posterior cingulate cortex, parahippocampal gyrus, amygdala, and nucleus accumbens. We show a selective modulation of inhibitory pathways related to differences between (1) mothers and non-mothers, (2) the interactions between group and cognitive performance and (3) group and social cognition, and (4) differences related to maternal caregiving behaviour. Across analyses, we show consistent disinhibition between cognitive and affective regions suggesting more efficient, flexible, and responsive behaviour, subserving cognitive performance, social cognition, and maternal caregiving. Together our results support the interpretation of these key regions as constituting a parental caregiving network. The nucleus accumbens and the parahippocampal gyrus emerging as hub regions of this network, highlighting the global importance of the affective limbic network for maternal caregiving, social cognition, and cognitive performance in the postpartum period.

neuroscience↗

bioRxiv2022

patcHwork: A user-friendly pH sensitivity analysis web server for protein sequences and structures

pH regulates protein function and interactions by altering the charge of individual residues causing the loss or gain of intra-molecular non-covalent bonds, which may additionally lead to structural rearrangements. While tools to analyze residue-specific charge distribution of protein sequences and structures at a given pH exist, currently no tool is available to investigate non-covalent bond changes at two different pH values. In an effort to make protein pH sensitivity analysis more accessible to researchers without computational structural biology background, we developed patcHwork, a web server that combines the identification of amino acids undergoing a charge shift with the determination of affected non-covalent bonds at two user-defined pH values. At the sequence-only level, patcHwork applies the Henderson-Hasselbalch equation to determine pH-sensitive residues. When the 3D protein structure is available, patcHwork can be employed to gain a deeper mechanistic understanding of the effect of pH on a protein of interest. This is achieved using the PDB2PQR and PROPKA tools and non-covalent bond determination algorithms. A user-friendly interface allows visualizing pH-sensitive residues as well as affected salt bridges, hydrogen bonds and aromatic (pi-pi and cation-pi) interactions. Importantly, patcHwork can be used to identify patches, a new concept we propose of pH-sensitive residues in close proximity on the protein structure, which may have a major impact on function. We demonstrate the attractiveness of patcHwork studying experimentally investigated pH-sensitive proteins. (Access:https://patchwork.biologie.uni-freiburg.de/) Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/478804v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@df873eorg.highwire.dtl.DTLVardef@12815a4org.highwire.dtl.DTLVardef@a4d718org.highwire.dtl.DTLVardef@256c10_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2021

Identification of a stress-sensitive anorexigenic neurocircuit from medial prefrontal cortex to lateral hypothalamus in humans and mice

By modeling neural network dynamics related to homeostatic state and BMI, we identified a novel pathway projecting from the medial prefrontal cortex (mPFC) to the lateral hypothalamus (LH) in humans. We then assessed the physiological role and dissected the function of this mPFC-LH circuit in mice. In vivo recordings of population calcium activity revealed that this glutamatergic mPFC-LH pathway is activated in response to acute stressors and inhibited during food consumption, suggesting a role in stress-related control over food intake. Consistent with this role, inhibition of this circuit increased feeding and sucrose seeking during mild stressors, but not under non-stressful conditions. Finally, chemogenetic or optogenetic activation of the mPFC-LH pathway is sufficient to suppress food intake and sucrose-seeking in mice. These studies identify a glutamatergic mPFC-LH as a novel stress-sensitive anorexigenic neural pathway involved in the cortical control of food intake.

neuroscience↗

bioRxiv2021

Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships

A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18 F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterisation of the human brain. How these two modalities differ in their contribution to cognition and behaviour is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that while for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, while for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research.

neuroscience↗

bioRxiv2021

Hypothalamic effective connectivity at rest is associated with body weight and energy homeostasis

Hunger and satiety states drive eating behaviours via changes in brain function. The hypothalamus is a central component of the brain networks that regulate food intake. Animal research parsed the roles of the lateral hypothalamus (LH) and the medial hypothalamus (MH) in hunger and satiety respectively. Here, we examined how hunger and satiety change information flow between human LH and MH brain networks, and how these interactions are influenced by body mass index. Forty participants (15 overweight/obese) underwent two resting-state functional MRI scans: after overnight fasting (fasted state) and following a standardised meal (sated state). The direction and valence (excitatory/inhibitory influence) of information flow between the MH and LH was modelled using spectral dynamic causal modelling. Our results revealed two core networks interacting across homeostatic state and weight status: subcortical bidirectional connections between the LH, MH and the substantia nigra pars compacta (prSN), and cortical top-down inhibition from frontoparietal and temporal areas. During fasting relative to satiety, we found higher inhibition between the LH and prSN, whereas the prSN received greater top-down inhibition from across the cortex. Individuals with higher BMI showed that these network dynamics occur irrespective of fasted or satiety states. Our findings reveal fasting affects brain dynamics over a distributed hypothalamic-midbrain-cortical network. This network is less sensitive to state-related fluctuations among people with obesity.

neuroscience↗

bioRxiv2020

Neural network modelling reveals changes in directional connectivity between cortical and hypothalamic regions in obesity

Obesity has been ascribed to corticostriatal regions taking control over homeostatic areas. To test this assumption, we applied an effective connectivity approach to reveal the direction of information flow between brain regions and the valence of connections (excitatory versus inhibitory) as a function of adiposity and homeostatic state. Forty-one participants (21 overweight/obese) underwent two resting-state fMRI scans: after overnight fasting (hunger) and following a standardised meal (satiety). We used spectral dynamic causal modelling to unravel hunger and adiposity related changes in directed connectivity between cortical, insular, striatal and hypothalamic regions. During hunger, as compared to satiety, we found increased excitation of the ventromedial prefrontal cortex over the ventral striatum and hypothalamus, suggesting enhanced top-down modulation compensating energy depletion. Adiposity was associated with increased excitation of the anterior insula over the hypothalamus across the hunger and satiety conditions. The interaction of hunger and adiposity yielded decreased intra-cortical excitation from the dorsolateral to the ventromedial prefrontal cortex. Our findings suggest that obesity is associated with persistent top-down excitation of the hypothalamus, regardless of homeostatic state, and hunger-related reductions of dorsolateral to ventromedial prefrontal inputs. These findings are compatible with eating without hunger and reduced self-regulation views of obesity. Significance StatementObesity is a leading contributor to morbidity and mortality. Neurobiological theories propose that, in obese people, corticostriatal regions take over homeostatic areas. Neuroimaging-based functional connectivity is well-poised to unravel such abnormalities by examining between-regions communication, but existing studies have only measured signal covariance, not direction and valence of connectivity. We applied computational modelling to reveal the direction of information flow between brain regions and excitatory/inhibitory valence of connections in obese versus healthy-weight participants. Obesity associated with heightened top-down excitation from the insula to hypothalamus, and reduced excitation within prefrontal regions. Findings have two advantages relative to current knowledge: demonstrate theory-based directional abnormalities, i.e. cortical regions taking over homeostatic areas; and inform brain stimulation therapies targeting cortical input to lower-level regions.

neuroscience↗

bioRxiv2018

Hard decisions shape the neural coding of preferences

Hard decisions between equally valued alternatives can result in preference changes, meaning that subsequent valuations for chosen items increase and decrease for rejected items. Previous research suggests that this phenomenon is a consequence of cognitive dissonance reduction after the decision, induced by the mismatch between initial preferences and decision outcomes. In contrast, this functional magnetic resonance imaging and eye-tracking study tested whether preferences are already updated online while making decisions. Preference changes could be predicted from activity in left dorsolateral prefrontal cortex and precuneus during decision-making. Furthermore, fixation durations predicted both choice outcomes and subsequent preference changes. These preference adjustments became behaviourally relevant at re-evaluation, but only for choices that were remembered and were associated with hippocampus activity. Our findings refute classical explanations of post-choice dissonance reduction and instead suggest that preferences evolve dynamically as decisions arise, potentially as a mechanism to prevent stalemate situations in underdetermined decision scenarios.

neuroscience↗

bioRxiv2018

Early diverging insect pathogenic fungi of the order Entomophthorales possess diverse and unique subtilisin-like serine proteases

Insect-pathogenic fungi use subtilisin-like serine proteases (SLSPs) to degrade chitin-associated proteins in the insect procuticle. Most insect-pathogenic fungi in the order Hypocreales (Ascomycota) are generalist species with a broad host-range, and most species possess a high number of SLSPs. The other major clade of insect-pathogenic fungi is part of the subphylum Entomophthoromycotina (Zoopagomycota, formerly Zygomycota) which consists of high host-specificity insect-pathogenic fungi that naturally only infect a single or very few host species. The extent to which insect-pathogenic fungi in the order Entomophthorales rely on SLSPs is unknown. Here we take advantage of recently available transcriptomic and genomic datasets from four genera within Entomophthoromycotina: the saprobic or opportunistic pathogens Basidiobolus meristosporus, Conidiobolus coronatus, C. thromboides, C. incongruus, and the host-specific insect pathogens Entomphthora muscae and Pandora formicae, specific pathogens of house flies (Muscae domestica) and wood ants (Formica polyctena), respectively. We use phylogenetics and protein domain analysis to show that the obligate biotrophic fungi E. muscae, P. formicae and the saprobic human pathogen C. incongruus all contain \"classical\" fungal SLSPs and a unique group of SLSPs that loosely resembles bacillopeptidase F-like SLSPs. This novel group of SLSPs is found in the genomes of obligate insect pathogens and a generalist saprobic opportunistic pathogen why they are unlikely to be responsible for the host specificity of Entomophthorales. However, this class represent a unique group of SLSPs so far only observed among Bacteria, Oomycetes and early diverging fungi such as Cryptomycota, Microsporidia, and Entomophthoromycotina and missing in the sister fungal lineages of Kickxellomycotina or the fungal phyla Mucoromyocta, Ascomycota and Basidiomycota fungi suggesting interesting gene loss patterns.

evolutionary biology↗