Biology subjects

Lutz, B.

Publications and source records attributed to Lutz, B..

13 recordsLinked to original sources

bioRxiv2026

Selective Shank3 Deletion in Glutamatergic Neurons of the Anterior Insular Cortex Induces Autism-Related Behavior and Circuit Dysfunction

Mutations in the synaptic scaffold protein SHANK3 represent one of the most frequent genetic causes of autism spectrum disorder (ASD), yet the circuit mechanisms through which SHANK3 dysfunction leads to behavioral alterations remain incompletely understood. The anterior insular cortex (aINS) is a key integrative hub involved in socio-emotional processing, anxiety regulation, and social cognition, a group of behaviors frequently disrupted in ASD. Here, we investigated whether selective deletion of SHANK3 signaling in glutamatergic neurons of the aINS is sufficient to produce ASD-relevant behavioral and circuit phenotypes. Using conditional Shank3flox4-22 mice combined with stereotaxic viral delivery of Cre recombinase under the CaMKII promoter, we selectively deleted Shank3 in glutamatergic neurons of the aINS. Behavioral phenotyping revealed increased anxiety-like behavior, enhanced repetitive behavior, and impaired social memory, while sociability and locomotor activity were largely preserved. These behavioral alterations were accompanied by genotype-dependent differences in neuronal activity revealed by calcium imaging, indicating disrupted activity dynamics in insular glutamatergic neurons following Shank3 deletion. To assess the broader relevance of these findings, we evaluated the behavioral profile of BTBR T+ Itpr3tf/J mice, a model of idiopathic ASD, in the same battery of behavioral tests. Several behavioral alterations observed following insular Shank3 deletion partially overlapped with those present in BTBR mice, supporting the relevance of aINS Shank3 in ASD-related phenotypes. Together, these findings identify glutamatergic neurons of the aINS as a critical locus through which Shank3 dysfunction can disrupt socio-emotional, cognitive, and repetitive behaviors. Our results highlight the aINS as a key circuit node contributing to ASD-related behavioral alterations and provide mechanistic insight into how synaptic scaffold disruption leads to circuit dysfunction and produces behavioral alterations.

neuroscience↗

bioRxiv2026

Anterior insular CB1 receptor signaling selectively regulates social novelty and anxiety-related behaviors

Several neurodevelopmental disorders (NDDs) are characterized by impairments in social behavior and affective dysregulation. Converging evidence implicates the endocannabinoid system in the control of both behaviors. However, the brain region-specific contribution of cannabinoid receptor type 1 (CB1R) signaling to these NDD-relevant phenotypes remains unclear. The anterior insular cortex (aINS) is a key integrative hub involved in socio-emotional processing and social novelty recognition. Whether CB1Rs within this region are sufficient to regulate behavioral domains disrupted in NDDs remains unclear. Here, we employed a Cre-dependent viral strategy to selectively restore CB1R mRNA expression in the aINS of global CB1R-deficient mice. Region-specific rescue of CB1R in the aINS normalized social novelty discrimination and reduced anxiety-like behavior as compared to mice lacking CB1R, while leaving basal sociability and locomotor activity unaffected. In addition, insular CB1R re-expression modulated repetitive-like behaviors without broadly altering other behavioral domains. These effects were observed in the absence of off-target expression, supporting the specificity of the genetic manipulation. Our findings demonstrate that CB1R mRNA expression within the aINS is sufficient to regulate distinct socio-emotional and repetitive behavioral domains. These results identify the aINS as a critical CB1-dependent modulatory node and provide mechanistic insight into how region-specific endocannabinoid signaling contributes to behavioral phenotypes relevant to NDDs.

neuroscience↗

bioRxiv2025

Redefining human pre-rRNA processing at single nucleotide resolution using long read Nanopore sequencing

Ribosome biogenesis requires the synthesis and processing of precursor rRNAs (pre-rRNAs) into mature rRNAs. Traditional methods like northern blotting and metabolic labeling offer limited resolution. We present NanoRibolyzer, a nanopore-based, long-read sequencing approach that enables ab initio identification and quantification of rRNA precursors. Using both supervised and unsupervised mapping, it detects known and novel pre-rRNA species and defines cleavage sites at single-nucleotide resolution. A simple cell fractionation protocol provides spatial separation of nuclear and cytoplasmic pre-rRNAs. Targeted knockdowns quantify intermediate accumulations, revealing condition-specific processing fingerprints with biomarker potential. Pseudouridine mapping shows that the primary 47S transcript is extensively modified, while aberrant products are not. With its high resolution and unique mapping strategy, NanoRibolyzer offers new insights into rRNA processing and modification, enhancing our understanding of ribosome biogenesis.

cell biology↗

bioRxiv2024

Glucocorticoids target postnatal oligodendrocyte precursor cells to modulate adult hippocampal network plasticity and stress-induced behavior

Glucocorticoid receptors (GRs) are key mediators of how the stress hormone glucocorticoids (GCs) shape postnatal brain development and adaptive plasticity. Because GC signaling is critical during this period, postnatal GC concentrations are tightly regulated in the brain, whereas excessive levels of circulating GCs can disrupt developmental trajectories and increase the risk of psychiatric disorders later in life. GR function influences multiple neural cell types, but its cell-specific roles, particularly early in development, remain poorly understood. Oligodendrocyte precursor cells (OPCs), which generate myelinating oligodendrocytes and actively modulate neuronal networks, express GRs and can therefore respond to fluctuations in GC levels. Although excessive GC exposure during early life adversity has been linked to changes in OPC development, the physiological role of GR signaling specifically within OPCs remains unclear. To address this, we conditionally deleted GRs in postnatal OPCs in mice to investigate the role of physiological GC signaling in OPC proliferation and maturation, as well as in neuronal network activity and behavior. This deletion resulted in reduced oligodendrocyte and myelinated axon density in the hippocampus, sex-specific alterations in hippocampal activity and long-term potentiation following acute challenge, and impairments in memory formation in adulthood. Our findings reveal a novel, OPC-specific role for GRs and suggest that physiological GR activity in the oligodendrocyte lineage contributes to normal hippocampal plasticity, learning and memory. Significance StatementGlucocorticoid receptors (GRs) mediate the effects of the stress hormone glucocorticoids (GCs) on postnatal brain development and adaptive plasticity. While the function of GRs in neurons is well characterized, much less is known about their role in oligodendrocyte precursor cells (OPCs). OPCs, which give rise to myelinating oligodendrocytes and participate in the modulation of neuronal networks, express GRs and can therefore sense fluctuations in GCs during stress response; however, the physiological role of GRs in OPCs remains unclear. In this study, we found that deleting GRs in early postnatal OPCs reduced the density of oligodendrocytes and of myelinated axons, altered hippocampal activity and long-term potentiation in response to acute challenge, and impaired memory formation in adult mice. These findings identify OPCs as key targets of GR signaling and suggest that physiological receptor activity in the oligodendrocyte lineage contributes to normal hippocampal plasticity, learning, and memory.

neuroscience↗

bioRxiv2024

REverse transcriptase ACTivity (REACT) assay for point-of-care measurement of established and emerging antiretrovirals for HIV treatment and prevention

Maintaining adequate levels of antiretroviral (ARV) medications is crucial for the efficacy of HIV treatment and prevention regimens. Monitoring ARV levels can predict or prevent adverse health outcomes like treatment failure or drug resistance. However, conventional ARV measurement using liquid chromatography-tandem mass spectrometry (LC-MS/MS) is slow, expensive, and centralized delaying clinical and behavioral interventions. We previously developed a rapid enzymatic assay for measuring nucleotide reverse transcriptase inhibitors (NRTIs) - the backbone of HIV treatment and prevention regimens - based on the drugs termination of DNA synthesis by HIV reverse transcriptase (RT) enzyme. Here we expand our work to include non-nucleoside reverse transcriptase inhibitors (NNRTIs) - an ARV class used in established and emerging HIV treatment and prevention regimens. We demonstrate that the REverse Transcriptase ACTivity (REACT) assay can detect NNRTIs including medications used in oral and long-acting/extended-release HIV treatment and prevention. We demonstrate that REACT can measure NNRTIs spiked in either buffer or diluted plasma, and that fluorescence can be measured on both a traditional plate reader and an inexpensive portable reader that can be deployed in point-of-care (POC) settings. REACT measured clinically relevant concentrations of five NNRTI spiked in aqueous buffer. REACT measurements showed excellent agreement between the plate reader and the portable reader, with a high correlation in both aqueous buffer (Pearsons r=0.9807, P < 0.0001) and diluted plasma (Pearsons r = 0.9681, P < 0.0001). REACT has the potential to provide rapid measurement of NNRTIs in POC settings and may help to improve HIV treatment and prevention outcomes.

bioengineering↗

bioRxiv2024

ClearFinder: a Python GUI for annotating cells in cleared mouse brain

BackgroundTissue clearing combined with light-sheet microscopy is gaining popularity among neuroscientists interested in unbiased assessment of their samples in 3D volume. However, the analysis of such data remains a challenge. ClearMap and CellFinder are tools for analyzing neuronal activity maps in an intact volume of cleared mouse brains. However, these tools lack a user interface, restricting accessibility primarily to scientists proficient in advanced Python programming. The application presented here aims to bridge this gap and make data analysis accessible to a wider scientific community. ResultsWe developed an easy-to-adopt graphical user interface for cell quantification and group analysis of whole-cleared adult mouse brains. Fundamental statistical analysis, such as PCA and box plots, and additional visualization features allow for quick data evaluation and quality checks. Furthermore, we report significant differences in total cell counts between CellFinder and ClearMap when cross-analyzing the same samples, underscoring the need for optimizing reproducibility within the field. ConclusionsOur easily accessible tool allows more researchers to implement the methodology, troubleshoot arising issues, and develop quality checks, benchmarking, and standardized analysis pipelines for cell detection and region annotation in whole volumes of cleared brains.

bioinformatics↗

bioRxiv2023

Freezing responses during prolonged threat memory retrieval reflect trait-like anxiety endophenotypes in female and male inbred mice

Trait anxiety is a major risk factor for stress-induced and anxiety disorders in humans. However, animal models accounting for the inter-individual variability in stress vulnerability are largely lacking. Moreover, the pervasive bias of using mostly male animals in preclinical studies poorly reflects the increased prevalence of psychiatric disorders in women. Using the threat imminence continuum theory, we designed and validated an auditory aversive conditioning-based pipeline in both female and male mice. We operationalized trait anxiety by harnessing the naturally occurring variability of defensive freezing responses combined with a model-based clustering strategy. While sustained freezing during prolonged retrieval sessions was identified as an anxiety-endophenotype biomarker in both sexes, females were consistently associated with an increased freezing response RNA-sequencing of CeA, BLA, ACC and BNST revealed massive differences in phasic and sustained responders transcriptomes, correlating with transcriptomic signatures of psychiatric disorders, particularly PTSD. Moreover, we detected significant alterations in the excitation/inhibition balance of principal neurons in the lateral amygdala. These findings provide compelling evidence that trait anxiety in inbred mice can be leveraged to develop translationally relevant preclinical models to investigate mechanisms of stress susceptibility in a sex-specific manner. We like to think we have constrained an organism to the task we have set. In practice, our paradigms are constrained by the way the organisms respond McNaughton & Corr, 2004

neuroscience↗

bioRxiv2023

Microglial cannabinoid receptor type1 mediates social memory deficits produced by adolescent THC exposure and 16p11.2 duplication

Adolescent cannabis use increases the risk for cognitive impairments and psychiatric disorders. Cannabinoid receptor type 1 (Cnr1) is expressed not only in neurons and astrocytes, but also in microglia, which shape synaptic connections during adolescence. Nonetheless, until now, the role of microglia in mediating the adverse cognitive effects of delta-9-tetrahydrocannabinol (THC), the principal psychoactive constituent of cannabis, has been unexplored. Here, we report that adolescent THC exposure produces microglial apoptosis in the medial prefrontal cortex (mPFC), which was exacerbated in the mouse model of 16p11.2 duplication, a representative copy number variation (CNV) risk factor for psychiatric disorders. These effects are mediated by microglial Cnr1, leading to reduction in the excitability of mPFC pyramidal-tract neurons and deficits in social memory in adulthood. Our findings highlight the importance of microglial Cnr1 to produce the adverse effect of cannabis exposure in genetically vulnerable individuals.

neuroscience↗

bioRxiv2023

Repair oligodendrocytes demyelinating and disintegrating damaged axons after injury

After a spinal cord injury, axons fail to regrow, which results in permanent loss of function1. This is in contrast with peripheral axons that can regrow efficiently after injury2. These differences are partly due to the different plasticity of myelinating cells, Schwann cells and oligodendrocytes, in these two systems3. The molecular mechanisms underlying this different plasticity remain however poorly understood. Here, we show that the phosphatase Dusp64 is a master inhibitor of oligodendrocyte plasticity after spinal cord injury. Dusp6 is rapidly downregulated in Schwann cells and upregulated in oligodendrocytes after axon injury. Simultaneously, the MAP kinases ERK1/2 are activated and the transcription factor c-Jun is upregulated in Schwann cells5,6, but not in oligodendrocytes. Ablation or inactivation of Dusp6 induces rapid ERK1/2 phosphorylation, c-Jun upregulation and filopodia formation in oligodendrocytes, leading to mechanically-induced, fast disintegration of distal ends of injured axons, myelin clearance and axonal regrowth. Together, our findings provide understanding of the mechanisms underlying the different plasticity of Schwann cells and oligodendrocytes after injury and a method to convert mature oligodendrocytes exhibiting inhibitory cues for axonal regrowth into repair oligodendrocytes reminiscent of repair Schwann cells. We show that repair oligodendrocytes successfully increase the compatibility of the spinal cord environment with axonal regrowth after injury, suggesting a potential use of repair oligodendrocytes as future therapeutic approach to treat spinal cord injuries.

neuroscience↗

bioRxiv2023

Loss of myeloid cannabinoid CB1 receptor confers atheroprotection by reducing macrophage proliferation and immunometabolic reprogramming

Although the cannabinoid CB1 receptor has been implicated in atherosclerosis, its cell-specific effects in this disease are not well understood. Here, we report that male mice with myeloid-specific Cnr1 deficiency on atherogenic background developed smaller lesions and necrotic cores than controls, while only minor genotype differences were observed in females. Male Cnr1 deficient mice showed reduced arterial monocyte recruitment and macrophage proliferation with less inflammatory phenotype. The sex-specific differences were reproducible in bone marrow derived macrophages and blunted by estradiol. Kinase activity profiling revealed a CB1-dependent regulation of p53 and cyclin-dependent kinases. Transcriptomic profiling further unveiled chromatin modifications, mRNA processing and mitochondrial respiration among the key processes affected by CB1 signaling, which was supported by metabolic flux assays. Chronic administration of the peripherally-restricted CB1 antagonist JD5037 inhibited plaque progression and macrophage proliferation, but only in male mice. Finally, CNR1 expression was detectable in human carotid endarterectomy plaques and inversely correlated with proliferation, oxidative metabolism and inflammatory markers, hinting to a possible implication of CB1-dependent regulation in human pathophysiology. In conclusion, impaired CB1 signaling in macrophages is atheroprotective by limiting their arterial recruitment, proliferation and inflammatory reprogramming. The importance of macrophage CB1 signaling seems to be more pronounced in male mice. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/535832v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1d0b2f4org.highwire.dtl.DTLVardef@94f1b4org.highwire.dtl.DTLVardef@8868edorg.highwire.dtl.DTLVardef@1a0b151_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical summary (created with BioRender.com)

immunology↗

bioRxiv2021

Multivalent designed proteins protect against SARS-CoV-2 variants of concern

Escape variants of SARS-CoV-2 are threatening to prolong the COVID-19 pandemic. To address this challenge, we developed multivalent protein-based minibinders as potential prophylactic and therapeutic agents. Homotrimers of single minibinders and fusions of three distinct minibinders were designed to geometrically match the SARS-CoV-2 spike (S) trimer architecture and were optimized by cell-free expression and found to exhibit virtually no measurable dissociation upon binding. Cryo-electron microscopy (cryoEM) showed that these trivalent minibinders engage all three receptor binding domains on a single S trimer. The top candidates neutralize SARS-CoV-2 variants of concern with IC50 values in the low pM range, resist viral escape, and provide protection in highly vulnerable human ACE2-expressing transgenic mice, both prophylactically and therapeutically. Our integrated workflow promises to accelerate the design of mutationally resilient therapeutics for pandemic preparedness. One-Sentence SummaryWe designed, developed, and characterized potent, trivalent miniprotein binders that provide prophylactic and therapeutic protection against emerging SARS-CoV-2 variants of concern.

synthetic biology↗

bioRxiv2021

Peripheral CB1 receptor blockade acts as a memory enhancer through an adrenergic-dependent mechanism

Peripheral inputs to the brain continuously shape its function and can influence the formation of non-emotional memory, but the underlying mechanisms have not been fully understood. Cannabinoid type-1 receptors (CB1R), widely distributed in the organism, is a well-recognized player in memory performance, and its systemic modulation significantly influences memory function. By assessing non-emotional memory in mice, we have now found a relevant role of peripheral CB1R in the formation of persistent memory. Indeed, peripherally restricted CB1R antagonism by using AM6545 showed a mnemonic effect that was occluded in adrenalectomized mice, after peripheral adrenergic blockade, or when vagus nerve was chemogenetically inhibited. Genetic CB1R deletion in dopamine {beta}-hydroxylase-expressing cells enhanced the formation of persistent memory, supporting a role of peripheral CB1R modulating the adrenergic tone. Notably, brain connectivity was affected by peripheral CB1R inhibition, and locus coeruleus activity and extracellular hippocampal norepinephrine, were increased. In agreement, intra-hippocampal {beta}-adrenergic blockade prevented AM6545 mnemonic effects. Together, we disclose a novel peripheral mechanism relevant for the modulation of the formation of persistent non-emotional memory.

neuroscience↗

bioRxiv2020

Leveraging UMLS-driven NLP to enhance identification of influenza predictors derived from electronic medical record data

ObjectiveMultiple clinical prediction rules have been developed, but lack validation. This study aims to identify a set of prediction algorithms for influenza, based on electronic health record (EHR) structured data and clinical notes derived data using Unified Medical Language System (UMLS) driven natural language processing (NLP). Materials and MethodsData were extracted from an enterprise-wide data warehouse for all patients who tested positive for influenza and were seen in ambulatory care between 2009 and 2019 (N = 7,278). A text processing pipeline was used to analyze chart notes for UMLS terms for symptoms of interest to improve data quality completeness. Three models, which step up complexity of the dataset and predictors, were tested with least absolute shrinkage and selection operator (LASSO)-selected parameters to identify predictors for influenza. Receiver operating characteristic (ROC) curves compared test accuracy across the three models. ResultsThree models identified 7, 8, and 10 predictors, and the most complex model performed best. The addition of the UMLS-driven NLP symptoms data improved data quality (false negatives) and increased the number of significant predictors. NLP also increased the strength of the models, as did the addition of two-way predictor interactions. DiscussionThe EHR is a feasible source for offering rapidly accessible datasets for influenza related prediction research that was used to produce a prediction model for influenza. Combining data collected in routine care with data science methods improved a prediction model for influenza, and in the future, could be used to drive diagnostics at the point of care.

bioinformatics↗