Biology subjects

Schmidt, D.

Publications and source records attributed to Schmidt, D..

At least 19 recordsLinked to original sources

bioRxiv2026

Nanobody-Functionalized AAV achieves Promoter-independent Neuronal Targeting in the CNS

Adeno-associated virus (AAV) vectors are widely used for gene delivery to the central nervous system, but natural capsid tropism is broad and cell-type restriction is typically imposed transcriptionally using promoters and enhancers that consume packaging capacity and often drive weak expression. Here, we engineer neuronal targeting directly into the AAV-DJ capsid by ablating its endogenous heparan sulfate proteoglycan (HSPG) affinity and genetically displaying a nanobody against the Group 1 metabotropic glutamate receptor mGluR5 within the VP1 subunit at a permissive capsid loop (T456), generating AAV-m5. Western blot confirmed incorporation of the nanobody-VP1 fusion into assembled capsids. In primary hippocampal neuron cultures, ablating HSPG binding abolished infectivity and nanobody display rescued transduction while restricting GFP expression almost exclusively to mGluR5-positive neurons. Heparin competition assays showed that, unlike wild-type AAV-DJ, AAV-m5 transduction was unaffected by exogenous heparin, confirming that entry occurs independently of HSPG binding. Packaged with a strong constitutive promoter (CAG), AAV-m5 achieved neuron-restricted expression comparable to or exceeding that of wild-type AAV-DJ driven by a neuron-specific promoter (hSyn) and produced negligible expression under an astrocyte-specific promoter (GFAP) despite promoter activity in glia, demonstrating that capsid-level targeting can substitute, or complement, transcriptional restriction. Following stereotactic injection into the mouse hippocampus, AAV-m5 achieved an eight-fold higher proportion of transduced neurons than wild-type AAV-DJ at equivalent titers. Delivery to Grm5-null hippocampus reduced both the intensity and the spatial extent of transduction, confirming that the broad hippocampal transduction achieved by AAV-m5 is mGluR5-dependent. Together, these results establish nanobody-functionalized AAV-DJ as a modular, single-component platform for precision CNS gene delivery that circumvents the packaging and expression trade-offs of promoter-based cell-type restriction, with potential for retargeting to additional CNS cell types and disease-relevant receptors.

synthetic biology↗

bioRxiv2026

Tau spreading coordinates intercellular lipid flux enhancing neuronal resilience to lipid toxicity

The presence of intrinsically disordered proteins (IDPs) in the extracellular environment of the brain suggests that protein disorder may serve functions beyond those confined to the intracellular space. Tau, a prototypical IDP linked to tauopathies, a class of neurodegenerative diseases, is continuously released and spreads between cells in the brain, yet the biological significance of this extracellular phase remains unresolved. Here, we show that spreading tau coordinates neutral lipid homeostasis by promoting neuronal lipid efflux and enhancing resilience to lipid toxicity. Integrating transcriptomics and lipidomics, we demonstrate that tau spreading reprograms lipid transport pathways and triggers redistribution of triacylglycerol pools, remodeling neutral lipid metabolism. Mechanistically, cellular uptake of spreading tau drives its accumulation within neutral lipid-rich compartments and promotes neuronal lipid efflux. The exported lipids are enriched in peroxidized species that are subsequently transferred to astrocytes, reducing neuronal lipid stress and revealing a pathway through which tau regulates lipid homeostasis. Our findings reframe spreading tau as a regulator of intercellular lipid flux and position protein disorder as an active mediator of cell-to-cell communication in coordinating tissue metabolism. Loss of this homeostatic function is likely to contribute to the early metabolic dysfunction associated with tauopathy.

neuroscience↗

bioRxiv2026

Pathogenic MAPK8IP3 variants drive distinct motor and behavioral phenotypes in humans and mice

Pathogenic variants in MAPK8IP3 (JIP3) cause Neurodevelopmental Disorder with or without variable Brain Abnormalities (NEDBA), characterized by cognitive impairment, global developmental delay, motor dysfunction, abnormal muscle tone, behavioral dysregulation including autism and attention deficit hyperactivity disorder (ADHD), seizures, and structural brain abnormalities. While more than 30 largely de novo MAPK8IP3 variants have been reported, the functional impact of variants across JIP3 protein structural domains is poorly defined. To address this knowledge gap, we compare clinical features of individuals with a truncating (p.E27X) or one of two missense (p.R578C and p.R1146C) variants from distinct JIP3 functional protein domains to corresponding knock-in mouse models. Our findings showed that all individuals, regardless of variant type, exhibited delays in language and gross motor function, but individual variants were associated with distinct motor, cognitive, and psychiatric symptoms. Corresponding homozygous p.E27X and p.R1147C variant mice resulted in embryonic lethality, consistent with essential roles for JIP3 in early neurodevelopment. Behavioral characterization of viable heterozygous mice revealed variant-specific locomotor, motor coordination, and hindlimb clasping defects that closely recapitulate clinical observations. Heterozygous p.R579C mice exhibited reduced locomotion, impaired motor performance, and hypertonia-like clasping, mirroring human motor deficits. In contrast, p.R1147C mice displayed hyperactivity, hindlimb clasping, and decreased brain weight, paralleling human clinical features. Together, our findings demonstrate that while distinct MAPK8IP3 variants lead to some shared phenotypes, they are also associated with distinct phenotypes that could reveal domain-specific aspects of JIP3 function. This work establishes the first domain-resolved in vivo rodent models of NEDBA and provides a validated translational platform for mechanistic investigation and preclinical therapeutic testing.

neuroscience↗

bioRxiv2026

Dual-Layer Serological Encoding: Integrating Pathogen-Derived and Host-Reactive Peptide Signatures Reveals Complementary Dimensions of HIV Immune Response

Serological diagnostics traditionally rely on pathogen-derived antigens to detect infection-specific antibody responses. Chronic infections also induce systemic immune remodeling that may be reflected in global antibody reactivity patterns beyond antigen specificity. Here we evaluate a dual-layer serological framework combining HIV-derived peptides with a host-derived peptide library designed to capture distributed antibody reactivity patterns. Using strict nested cross-validation in a cohort of 105 individuals, pathogen-derived 12-mer peptides achieved high classification performance with an AUC of 0.891, whereas the 10-mer host-based peptide library alone yielded moderate but statistically significant discrimination with an AUC of 0.805. Integration via regularized stacking resulted in only a modest additive improvement, reaching an AUC of 0.897, indicating partial redundancy in diagnostic ranking. In contrast, entropy and inequality analyses revealed substantial immune repertoire restructuring in HIV-positive individuals, characterized by reduced Shannon entropy and significant correlations between classifier probability and repertoire concentration. These findings support a dual-layer model of serology in which the integration of pathogen-derived and host-derived peptides into a meta model encode antigen specificity, whereas host-reactive signatures reflect systemic immune topology. Distinguishing diagnostic ranking from immune-state encoding provides a conceptual framework for multi-layer serological diagnostics.

immunology↗

bioRxiv2026

High-density peptide arrays detect tuberculosis through immune remodeling, not only antigen recognition alone

Serological diagnostics for tuberculosis rely on pathogen-derived antigens to detect infection-specific antibodies. Whether chronic TB infection also reshapes the global topology of the antibody repertoire remains largely unexplored. Here we profile serum antibody binding across 6,936 peptides in 105 individuals from three countries using two complementary libraries: Mycobacterium tuberculosis peptides (TBC) and a resemblance-ranking library representing the human self-proteome (RRL). We construct a five-dimensional immune state vector from distributional binding properties and map individual sera into an immune phase space. A remodeling classifier achieves virtually identical performance on pathogen-derived and host-derived peptides (AUC 0.63-0.73), demonstrating that the diagnostic signal arises from global repertoire restructuring rather than antigen-specific recognition. HIV co-infection partially masks this signal; restricting analysis to HIV-negative individuals increases AUC to 0.73 (permutation p = 0.005) and enables detection of smear-negative TB (AUC = 0.83, specificity 0.95 with three peptides). Phase-space projections reveal that TB severity maps onto a continuous remodeling gradient, with smear-negative patients occupying intermediate positions between healthy controls and smear-positive cases. These findings position high-density peptide arrays as sensors of antibody repertoire topology, enabling detection of chronic immune states beyond antigen-specific recognition.

immunology↗

bioRxiv2026

A generative AI framework for disease-specific lung microtissue bioengineering

Generative Lung Architecture Modeling (GLAM) is an integrated bioengineering framework that couples high-resolution three-dimensional tissue imaging with generative artificial intelligence to de novo design and 3D-bioprint anatomically detailed lung microtissue models. Native extracellular 3D matrix architectures of pulmonary parenchyma were extracted from healthy, fibrotic, and emphysematous in vivo mouse disease models and processed through a computational pipeline containing pre-trained image segmentation and 3D mesh generation. The resulting datasets were used to train a U-Net generative diffusion model with attention layers capable of synthesizing healthy and diseased lung tissue architectures. Microtissue cubes of about 200 - 300 {micro}m edge length of native and synthetic datasets were fabricated through high-resolution two-photon stereolithography with gelatin-methacryloyl biomaterial ink and successfully seeded with cells, demonstrating biological compatibility. In closing the loop between biological imaging, generative modeling, and high-resolution biofabrication, this integrated framework establishes generative AI as a functional design layer for tissue engineering. The resulting lung microtissues retained architectural features of the native and original tissues, making them an application-ready platform for customizable and scalable fabrication of biological tissue surrogates for preclinical modeling, drug testing, and precision regenerative bioengineering.

bioengineering↗

bioRxiv2025

Tuning the open-close equilibrium of Cereblon with small molecules influences protein degradation

Most PROTACs and molecular glue degraders currently approved or in clinical trials recruit Cereblon (CRBN) as the ubiquitin E3 ligase. Upon binding ligands and molecular glues, CRBN undergoes a significant structural rearrangement from an open to closed state, defined by the positioning of the thalidomide-binding domain (TBD) with respect to the Lon domain. However, the exact molecular basis for this ligand-induced conformational change and its implication to neo-substrate degradation remain elusive. During our campaign to discover novel CRBN binders, we found hits exhibiting distinct biophysical behaviour from classical thalidomide-based ligands. By combining orthogonal biophysical methods of differential scanning fluorimetry, isothermal titration calorimetry, and small-angle X-ray scattering, supported by X-ray crystallography and cryo-EM structures of ligand-bound complexes, we classify CRBN binders between those that can induce CRBN closure, and those that cannot. Mutational studies identify key residues in the CRBN ligand binding pocket and N-terminal belt that are essential for the Lon and TBD domains to come together in the closed state. Finally, we show that the probability to yield active degrader molecules is greatly influenced by whether binders can or cannot induce CRBN closure. Together, our study reveals new molecular insights into the structural basis for how CRBN open-closed equilibrium is directly modulated by compound binding and impact target degradability by CRBN, with important implications to the design of PROTACs and molecular glue degraders.

biochemistry↗

bioRxiv2025

A human missense variant in BSX decouples circadian behaviour from metabolic rhythmicity while preserving lifespan in mice

Mammalian circadian organisation is orchestrated by a light-entrained master pacemaker in the suprachiasmatic nucleus (SCN) and SCN-independent, food- and metabolism-responsive oscillators in the brain and periphery; feeding can entrain these systems, enabling anticipation of feeding time. Here, we show that a human missense variant (Q159K) in the homeodomain of the brain-specific transcription factor BSX causes profound loss of circadian behavioural rhythms and food anticipatory activity (FAA) in mice. Whole-brain imaging reveals failure of the compact dorsomedial hypothalamus (DMHc) to form and the absence of histaminergic neurons in the tuberomammillary nucleus (TMN) in BsxQ159K/Q159K mice. Consequently, under light-dark (LD) and constant darkness (DD), sleep-wake cycles and circadian locomotor rhythmicity are profoundly lost, whereas total wake time and spontaneous locomotor activity are preserved, with daily caloric intake substantially shifted from the dark to the light cycle. Therefore, in DD, metabolic recordings reveal a rhythmic respiratory exchange ratio (RER) pattern that differs substantially from that of wild-type mice and is markedly attenuated under LD conditions. In addition, BsxQ159K/Q159K mice lack FAA during restricted feeding and fail to increase locomotor activity upon food deprivation. Despite the loss of circadian behavioural rhythms and altered daily feeding behaviour, BsxQ159K/Q159Kmice maintain metabolic homeostasis, a lean body composition into advanced age, and a normal lifespan under ad libitum feeding and controlled LD. These findings provide genetic evidence that circadian organization is not universally required for metabolic homeostasis, suggesting instead that circadian rhythmicity is an adaptive feature advantageous primarily under diurnal conditions.

genetics↗

bioRxiv2024

Assessing bnAb potency in the context of HIV-1 Envelope conformational plasticity

The ability of broadly neutralizing antibodies (bnAbs) to interact with the closed, pre-fusion HIV-1 envelope (Env) trimer distinguishes them from weakly neutralizing antibodies (weak-nAbs) that depend on trimer opening to bind. Comparative analysis of neutralization data from the CATNAP database revealed a nuanced relationship between bnAb activity and Env conformational plasticity, with substantial epitope-specific variation of bnAb potency ranging from increased to decreased activity against open, neutralization-sensitive Env. To systematically investigate the impact of Env conformational dynamics on bnAb potency we screened 126 JR-CSF point mutants for generalized neutralization sensitivity to weak-nAbs and plasma from people with chronic HIV-1 infection. 23 mutations at highly conserved sites resulted in neutralization phenotype with high Tier 1 sensitivity, which was associated with destabilization of the closed, prefusion conformation. Including 19 of these mutants into a Sensitivity Env mutant panel (SENSE-19), we classified bnAbs according to potency variations in response to trimer opening. To verify that these sensitivity patterns are independent of the in vitro assay system, replication-competent SENSE-19 mutant viruses were tested on primary CD4 T cells. While loss of potency on SENSE-19 was registered for bnAbs recognizing quaternary epitopes on pre-triggered Env, structural destabilization benefitted MPER bnAbs and other inhibitors known to have post-CD4 attachment neutralization activity. Importantly, for certain bnAbs targeting CD4bs, V3-glycan and interface epitopes, particularly low potency variation was noted, suggesting that Env conformational tolerance can be achieved but is not the rule. In summary, SENSE-19 screens revealed distinct Env flexibility tolerance levels between bnAb types that provide mechanistic insights in their function and broaden current neutralization breadth assessments. Author summaryConsistently high potency and neutralizing breadth against genetically divergent strains circulating worldwide are central to the applicability of HIV-1 broadly neutralizing antibodies (bnAbs) for prevention and therapy. The trimeric Envelope protein complex on these viruses is the target for nAbs and because of its inherent flexibility can be presented in different shapes. However, the activity of nAbs depends to different degree on the presentation of certain shapes, limiting their potency and breadth. Here we assemble a virus panel that can be used to estimate this dependence, enabling the identification of bnAbs tolerating the presentation of different shapes.

immunology↗

bioRxiv2024

The XbnAb Cohort: 304 people with broadly neutralizing antibody activity to HIV-1

Broadly neutralizing antibodies (bnAbs) recognizing a diversity of HIV-1 strains are widely thought to be essential for an HIV-1 vaccine. Extensive knowledge on bnAbs has been gained from studying natural HIV infection by following bnAb evolution in individual people with HIV (PWH). However, it remains essential to increase knowledge of bnAb responses in large PWH cohorts to assess the feasibility of inducing bnAb activity by vaccination. To allow systematic analysis, we created the XbnAb cohort, a large bnAb-inducer cohort selected by screening plasma of PWH enrolled in the Swiss HIV Cohort Study (SHCS) and the Zurich Primary HIV Infection Study (ZPHI). The XbnAb cohort represents a retrospective, biobank-based cohort comprising data of 305 PWH who developed bnAb activity during HIV-1 infection. Here, we report on the characteristics of the XbnAb cohort and its potential for HIV vaccine research.

immunology↗

bioRxiv2024

Rare twin cysteine residues in the HIV-1 envelope variable region 1 link to neutralization escape and breadth development

The identification of HIV-1 Envelope glycoprotein (Env) traits associated with development of neutralization cross-reactivity in natural infection is critical for vaccine design. Here we describe the presence of additional Cysteine (Cys) residues in V1 that are enriched among people with elite neutralization breadth. Using >65,000 V1 sequences from the CATNAP database, the AMP trials and three large longitudinal HIV infection cohorts, the SHCS, ZPHI and CAPRISA studies, we show that Env variants with extra V1 Cys are present at low levels throughout infection and fluctuate in frequency over time within participants. We demonstrate an independent association of extra V1 Cys with elite plasma neutralization, and a strong preference for two versus one extra Cys, suggesting certain Envs introduce an additional disulfide bond for stabilization. We observed high levels of neutralization resistance among Envs from 34 bNAb donors, of which 17.6% had elongated V1 regions with extra Cys. We show that extra V1 Cys moderately increase neutralization resistance in an Env from a V2- Apex bNAb-inducer. Modulation of the accessibility of bNAb epitopes on this Env by extra V1 Cys enhanced epitope shielding of several regions, but increased V2 exposure. This suggests that escape from autologous neutralizing activity drove insertion of the extra V1 Cys, creating a modified antigen that may have favored V2 bNAb induction in this donor. Overall, we identify a rare motif of twin Cys in V1 that confers increased neutralization resistance and Env stabilization, is associated with bNAb induction, and may hold potential for incorporation into future HIV bNAb immunogens.

immunology↗

bioRxiv2024

Protein Carrier AAV

AAV is widely used for efficient delivery of DNA payloads. The extent to which the AAV capsid can be used to deliver a protein payload is unexplored. Here, we report engineered AAV capsids that directly package proteins - Protein Carrier AAV (pcAAV). Nanobodies inserted into the interior of the capsid mediate packaging of a cognate protein, including Green Fluorescent Protein (GFP), Streptococcus pyogenes Cas9, Cre recombinase, and the engineered peroxidase APEX2. We show that protein packaging efficiency is affected by the nanobody insertion position, the capsid protein isoform into which the nanobody is inserted, and the subcellular localization of the packaged protein during recombinant AAV capsid production; each of these factors can be rationally engineered to optimize protein packaging efficiency. We demonstrate that proteins packaged within pcAAV retain their enzymatic activity and that pcAAV can bind and enter the cell to deliver the protein payload. Establishing pcAAV as a protein delivery platform may expand the utility of AAV as a therapeutic and research tool.

synthetic biology↗

bioRxiv2024

Unlocking Precision Gene Therapy: Harnessing AAV Tropism with Nanobody Swapping at Capsid Hotspots

Adeno-associated virus has been remarkably successful in the clinic, but its broad tropism is a practical limitation of precision gene therapy. A promising path to engineer AAV tropism is the addition of binding domains to the AAV capsid that recognize cell surface markers present on a targeted cell type. We have recently identified two previously unexplored capsid regions near the 2-fold valley and 5-fold pore of the AAV capsid that are amenable to insertion of larger protein domains including nanobodies. Here, we demonstrate that these hotspots facilitate AAV tropism switching through simple nanobody replacement without extensive optimization in both VP1 and VP2. We demonstrate highly specific targeting of human cancer cells expressing fibroblast activating protein (FAP). Our data suggest that engineering VP2 is the preferred path for maintaining both virus production yield and infectivity. Our study shows that nanobody swapping at multiple capsid location is a viable strategy for nanobody-directed cell-specific AAV targeting.

synthetic biology↗

bioRxiv2024

Polarity-JaM: An image analysis toolbox for cell polarity, junction and morphology quantification

Cell polarity involves the asymmetric distribution of cellular components such as signaling molecules and organelles within a cell, asymmetries of a cell"s shape as well as contacts with neighbouring cells. Gradients and mechanical forces often act as global cues that bias cell polarity and orientation, and polarity is coordinated by communication between adjacent cells. Advances in fluorescence microscopy combined with deep learning algorithms for image segmentation open up a wealth of possibilities to understand cell polarity behaviour in health and disease. We have therefore developed the open-source package Polarity-JaM, which offers versatile methods for performing reproducible exploratory image analysis. Multi-channel single cell segmentation is performed using a flexible and userfriendly interface to state-of-the-art deep learning algorithms. Interpretable single-cell features are automatically extracted, including cell and organelle orientation, cell-cell contact morphology, signaling molecule gradients, as well as collective orientation, tissue-wide size and shape variation. Circular statistics of cell polarity, including polarity indices, confidence intervals, and circular correlation analysis, can be computed using our web application. We have developed data graphs for comprehensive visualisation of key statistical measures and suggest the use of an adapted polarity index when the expected polarisation direction or the direction of a global cue is known a priori. The focus of our analysis is on fluorescence image data from endothelial cells (ECs) and their polarisation behaviour. ECs line the inside of blood vessels and are essential for vessel formation and repair, as well as for various cardiovascular diseases, cancer, and inflammation. However, the general architecture of the software will allow it to be applied to other cell types and image modalities. The package is built in in Python, allowing researchers to seamlessly integrate Polarity-JaM into their image and data analysis workflows, see https://polarityjam. readthedocs.io. In addition, a web application for statistical analysis, available at www.polarityjam.com, and a Napari plugin are available, each with a graphical user interface to facilitate exploratory analysis.

bioinformatics↗

bioRxiv2023

Assembly and analysis of the genome of Notholithocarpus densiflorus

Tanoak (Notholithocarpus densiflorus) is an evergreen tree in the Fagaceae family found in California and southern Oregon. Historically, tanoak acorns were an important food source for Native American tribes and the bark was used extensively in the leather tanning process. Long considered a disjunct relictual element of the Asian stone oaks (Lithocarpus spp.), phylogenetic analysis has determined that the tanoak is an example of convergent evolution. Tanoaks are deeply divergent from oaks (Quercus) of the Pacific Northwest and comprise a new genus with a single species. These trees are highly susceptible to sudden oak death (SOD), a plant pathogen (Phytophthora ramorum) that has caused widespread mortality of tanoaks. Here, we set out to assemble the genome and perform comparative studies among a number of individuals that demonstrated varying levels of susceptibility to SOD. First, we sequenced and de novo assembled a draft reference genome of N. densiflorus using co-barcoded library processing methods and an MGI DNBSEQ-G400 sequencer. To increase the contiguity of the final assembly, we also sequenced Oxford Nanopore (ONT) long reads to 30X coverage. To our knowledge, the draft genome reported here is one of the more contiguous and complete genomes of a tree species published until now, with a contig N50 of [~]1.2 Mb and a scaffold N50 of [~]2.1 Mb. In addition, we sequenced 11 genetically distinct individuals and mapped these onto the draft reference genome enabling the discovery of almost 25 million single nucleotide polymorphisms and [~]4.4 million small insertions and deletions. Finally, using co-barcoded data we were able to generate complete haplotype coverage of all 11 genomes.

genomics↗

bioRxiv2023

VoltRon: A Spatial Omics Analysis Platform for Multi-Resolution and Multi-omics Integration using Image Registration

The growing number of spatial omic technologies have created a demand for computational tools capable of managing, storing, and analyzing spatial datasets with multiple modalities and spatial resolutions. Meanwhile, computer vision is becoming an integral part of processing spatial data readouts where image registration and spatial data alignment of tissue sections are essential prior to data integration. Hence, there is a need for computational platforms that analyze data across spatial datasets with diverse resolutions as well as those that manipulate and process images of microanatomical tissue structures. To this end, we have developed VoltRon, a novel R package for spatial omics analysis with a unique data structure that accommodates data readouts with many levels of spatial resolutions (i.e., multi-resolution) including regions of interest (ROIs), spots, single cells, and even subcellular entities such as molecules. To connect and integrate these spatially diverse omic profiles, VoltRon accounts for spatial organization of tissue blocks (samples), layers (sections) and assays given a multi-resolution collection of spatial data readouts. An easy-to-use computer vision toolbox, OpenCV, is fully embedded in VoltRon that allows users to both automatically and manually register spatial coordinates across adjacent layers for data transfer without the need for external software tools. VoltRon is implemented in the R programming language and is freely available at https://github.com/BIMSBbioinfo/VoltRon.

bioinformatics↗

bioRxiv2023

Structure, interaction, and nervous connectivity of beta cell primary cilia

Primary cilia are sensory organelles present in many cell types. Based on an array of microtubules termed axoneme they form a specialized membrane compartment partaking in various signaling processes. Primary cilia of pancreatic islet beta cells play a role in autocrine and paracrine signaling and are linked to diabetes. Yet, the structural basis for their functions is unclear. We present three-dimensional reconstructions of complete mouse and human beta cell cilia, revealing a disorganized 9+0 axoneme structure. Within the islet, cilia are spatially confined within deep ciliary pockets or squeezed into narrow extracellular spaces between adjacent cells. Beta and alpha cell cilia physically interact with neighboring islet cells pushing and strongly bending their plasma membranes. Furthermore, beta cells can contain multiple cilia that can meet with other islet cell cilia in the extracellular space. Additionally, beta cell cilia establish connections with islet-projecting nerves. These findings highlight the pivotal role of beta cell primary cilia in islet cell connectivity, pointing at their potential functional role in integrating islet intrinsic and extrinsic signals. These novel insights contribute to understanding their significance in health and diabetes.

cell biology↗

bioRxiv2023

A Titratable Necrotizing Enterocolitis Mouse Model

BackgroundNecrotizing enterocolitis (NEC) is an inflammatory gastrointestinal process that afflicts approximately 10% of preterm infants born in the United States each year, with a mortality rate of 30%. NEC severity is graded using Bells classification system, from stage I mild NEC to stage III severe NEC. Over half of NEC survivors present with neurodevelopmental impairment during adolescence, a long-term complication that is poorly understood but can occur even after mild NEC. Although multiple animal models exist, none allow the experimenter to control nor represent the gradient of symptom severities seen in NEC patients. We bridge this knowledge gap by developing a graded murine model of NEC and studying its relationship with neuroinflammation across a range of NEC severities. MethodsPostnatal day 3 (P3) C57BL/6 mice were fed a formula containing different concentrations (0% control, 0.25%, 1%, 2%, and 3%) of dextran sodium sulfate (DSS). P3 mice were fed every 3 hours for 72-hours. We collected data on weight gain and behavior (activity, response, body color) during feeding. At the end of the experiment, we collected tissues (intestine, liver, plasma, brain) for immunohistochemistry, immunofluorescence, and cytokine and chemokine analysis. ResultsThroughout NEC induction, mice fed higher concentrations of DSS died sooner, lost weight faster, and became sick or lethargic earlier. Intestinal characteristics (dilation, color, friability) were worse in mice fed with higher DSS concentrations. Histology revealed small intestinal disarray among mice fed all DSS concentrations, while higher DSS concentrations resulted in reduced small intestinal cellular proliferation and increased hepatic and systemic inflammation. In the brain, IL-2, G-CSF, and CXCL1 concentrations increased with higher DSS concentrations. Although the number of neurons and microglia in the CA1 hippocampal region did not differ, microglial branching was significantly reduced in DSS-fed mice. ConclusionWe characterize a novel graded model of NEC that recapitulates the full range of NEC severities. We show that mild NEC is sufficient to initiate neuroinflammation and microglia activation. This model will facilitate studies on the neurodevelopmental effects of NEC.

physiology↗