Biology subjects

Fischer, R.

Publications and source records attributed to Fischer, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Spatial Tumour Tissue Distribution Dynamics of a Bicycle Peptide-MMAE Toxin Conjugate Profiled by Targeted Mass Spectrometry

A highly specific-NECTIN-4 binding bicyclic peptide covalently linked to the cytotoxin monomethyl auristatin E (MMAE) via a valine-citrulline cleavable linker (zelenectide pevedotin, BT8009) is a promising modality to treat cancer patients with solid tumours. Although the pharmacokinetics and biodistribution of zelenectide pevedotin have been well characterised, a more precise view of tumour delivery and intra-tumoural distribution of its released payload is lacking. To address this, we have developed an approach to profile the spatial tumour and healthy tissue distribution of this anti-cancer agent using laser capture microdissection coupled to targeted liquid chromatography parallel reaction monitoring (LCM-LC-PRM) mass spectrometry. This LCM-assisted spatial pharmacology workflow enables the precise isolation of specific tissue regions, followed by high-resolution analysis of MMAE distribution at sub-tissue-specific levels. By identifying and optimising MS/MS-specific fragmentation ions for accurate and sensitive detection and quantitation of MMAE released from zelenectide pevedotin within tumour tissues, we observed progressive accumulation and sustained retention of MMAE in mouse tumour tissues over a period of 24 h. Conversely, in plasma, liver and muscle tissues, MMAE levels generally declined following early exposure, although inter-animal variability was observed. LCM-based intra-tumour spatial profiling revealed heterogeneous MMAE distribution between tumour cell-rich and stroma-rich regions, with distinct temporal patterns across compartments. Together, our spatial targeted MS method provided valuable insights into zelenectide pevedotin's payload distribution dynamics in vivo, thereby enhancing our understanding of its therapeutic potential and guiding the development of next-generation Bicycle Drug Conjugate (BDC).

cancer biology↗

bioRxiv2026

A platform for deep topographic multiomic mapping of the bone marrow environment in multiple myeloma

Multiple myeloma is a genetically complex plasma cell malignancy in which profound intratumoral heterogeneity shapes disease progression and therapeutic resistance. Genomic subclones dynamically emerge and evolve under treatment pressure, yet their spatial organization within intact bone marrow remains poorly defined. We hypothesized that genetically distinct myeloma subclones occupy spatially discrete ecological niches associated with unique molecular and microenvironmental states. To test this, we here demonstrate a proof-of-concept spatial tri-omics workflow combining laser capture microdissection-based genomics and deep LC-MS/MS proteomics with single-cell spatial transcriptomics, integrated by digital co-registration of adjacent tissue sections. Applied to a myeloma bone marrow trephine, this approach enabled coordinated profiling of matched anatomical regions demonstrating that genomic, transcriptomic and proteomic profiles converged to define clone-specific microenvironmental programmes. We show that genetically distinct myeloma subclones occupy mutually exclusive regions of the same bone marrow biopsy. Remarkably, an aggressive del(17p) clone and a gain(12q) clone occupied defined anatomical territories within the same trephine-biopsied section, each clone exhibiting distinct genomic, transcriptomic, proteomic and cellular ecosystems. The del(17p) clone localized to a fibrotic, osteolytic and angiogenic niche enriched for activated stromal cells, osteoblasts, osteoclasts and immunoregulatory myeloid populations, whereas the gain(12q) clone occupied a comparatively quiescent marrow niche with limited stromal remodelling. Together, these findings demonstrate that genetically distinct myeloma subclones establish spatially and biologically discrete ecological niches through coordinated remodelling of stromal, immune and bone compartments, providing a framework for understanding clonal evolution within the bone marrow microenvironment.

cancer biology↗

bioRxiv2026

Scalable spatial DNA sequencing from archival tissue maps copy number subclones

Spatially resolved DNA sequencing holds promise due to its potential utility in understanding cancer intra-tumour heterogeneity and tumour evolution in relation to tissue architecture. However, it has so far been used to a limited extent due to technical challenges and high cost of existing methods. Hence we aimed to develop a high throughput spatial genomic assay to obtain copy number alteration (CNA) information at user-defined spatial resolution. We derived CNA profiles from ultra-low coverage whole genome sequencing at sub-millimetre resolution from archival samples using a novel method called Adaptive Resolution Multiscale Spatial DNA sequencing (ARMS DNAseq). We used it to profile CNAs from more than 766 regions (tiles) from 3 patients, covering a total area of over 300 mm2, with 1.2-2.6 million mapped reads per tile and tile sizes of 0.1-0.99mm2. Using ARMS DNAseq, we delineate tumour evolution in a spatial context, and identify more tumour subclones that were obscured or incompletely represented in bulk multi-region whole genome sequencing. Next, we show associations between tumour subclones and morphology, and prediction of subclone identity from deep learning-derived image representations. Finally, we demonstrate multi-omic integration by alignment with spatial transcriptomic data, showing subclone-specific immune cell co-occurrence as well as transcriptional programmes cutting across subclone boundaries. ARMS DNAseq converts low-throughput, region-by-region profiling into a scalable and adaptable workflow for direct spatial copy number profiling from archival tissue sections.

genomics↗

bioRxiv2026

TNFR2 Agonism as a Sex-Specific Therapy for Novel Osteoarthritis-Induced Cardiac Dysfunction

Osteoarthritis (OA), a degenerative joint disease, is associated with increased systemic inflammation, chronic pain, and cardiovascular dysfunction. Epidemiological evidence establishes that OA increases the risk of cardiovascular disease (CVD) threefold, yet the causal role of OAs contributions remains underexamined. We assessed cardiac function longitudinally following destabilization of the medial meniscus (DMM) surgery to induce osteoarthritis in mice. DMM-mice exhibited significant, sexually dimorphic alterations in echocardiographic parameters. Female DMM mice developed impaired relaxation with altered E/A ratios, increased E/e ratios, and prolonged intraventricular relaxation time with no change in ejection fraction, while male DMM mice showed progressive systolic dysfunction with decreasing ejection fraction, increased E/e ratio, and prolonged intraventricular contraction time. Transcriptomic profiles and biochemical analyses demonstrated divergent cellular responses involving fibrosis and oxidative stress in female mice, whereas autophagic and apoptotic responses were observed in male mice. Using a tumor necrosis factor 2 (TNFR2) agonist shown to reduce systemic inflammation, we investigated its potential therapeutic role in the context of OA-induced cardiovascular dysfunction. TNFR2 agonism proved to be effective both prophylactically and therapeutically for female diastolic dysfunction. While prophylactic and therapeutic administration delayed male systolic dysfunction, the efficacy declined over time. Our findings demonstrate evidence of a novel sexually dimorphic model of OA-induced CVD that recapitulates the sexually dimorphic pattern of patient phenotypes and a promising new therapeutic approach to CVD. Translational RelevanceOsteoarthritis patients have higher, often unrecognized, cardiovascular risk, yet preclinical models linking joint disease to cardiac dysfunction remain unexplored. Using a murine preclinical model of OA reveals the key findings. First, OA alone drives sex-specific cardiac phenotypes - females develop diastolic dysfunction, whereas males develop progressive systolic impairment. Second, selective TNFR2 agonism prevents and reverses OA-induced diastolic dysfunction in female mice and delays systolic decline in males. These findings suggest sex-dependent cardiac monitoring in OA patients and indicate that TNFR2-targeted therapy will likely be a sex-informed intervention to provide cardioprotective benefit. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/736778v3_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@819a80org.highwire.dtl.DTLVardef@c6646eorg.highwire.dtl.DTLVardef@eb86aborg.highwire.dtl.DTLVardef@d68292_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2026

Inhibition in motion: Test-retest reliability of inhibitory kinematics in a go/no-go mouse tracking task

Response inhibition, the ability to suppress contextually inappropriate actions, is a cornerstone of cognitive control and is commonly assessed using paradigms such as the go/no-go task. However, traditional go/no-go paradigms rely on binary outcomes such as commission errors, which offer limited insight into the dynamic, graded behavioral adjustments underlying successful stopping. The present study developed a novel mouse-tracking go/no-go paradigm with a dynamic start to capture inhibitory processes during ongoing execution. Twenty-three healthy young adults completed the task in two sessions separated by approximately one week to evaluate the test-retest reliability of standard behavioral measures (error rates and reaction times), and three kinematic features: path length, mean velocity, and mean acceleration. Results revealed robust differences between go and no-go trials across all measures. Successful inhibition was characterized by significantly shorter path lengths and reduced mean velocity and acceleration compared to go trials. Critically, all measures demonstrated moderate-to-good test-retest reliability across sessions, with intraclass correlation coefficients ranging from .75 to .85 for go trials and from .59 to .83 for no-go trials. These findings establish construct validity and psychometric reliability of the current mouse-tracking go/no-go paradigm. The demonstrated stability of these measures provides the methodological foundation for their use in cross-sectional, longitudinal, and intervention research targeting inhibitory control.

neuroscience↗

bioRxiv2026

Hydrophobic pocket engineering of arylmalonate decarboxylase expands its substrate scope towards the synthesis of the (R)-enantiomers of sterically hindered carboxylic acids

Arylmalonate decarboxylase (AMDase) stereoselectively converts disubstituted malonates to chiral carboxylic acids, but its substrate spectrum is very limited regarding the size of the smaller substituent. Inspired by the observation that (S)-selective AMDase variants also convert larger substrates, we unlocked the synthesis of the (R)-enantiomers of -aryl and -alkenyl n-butanoic and n-pentanoic acids, respectively, in exquisite enantiopurity.

biochemistry↗

bioRxiv2026

An ancient cis-element regulates translation of arginine decarboxylase to control downstream polyamine biosynthesis and stress responses

Polyamines (PAs) are ubiquitous metabolites that, despite their simple structure, profoundly influence plant growth, development, and stress adaptation. Their cellular levels are largely determined by arginine decarboxylase (ADC), a key rate-limiting enzyme in their biosynthesis. We previously identified a [~]50 bp GC-rich sequence in the 5' untranslated region (UTR) of plant ADC genes, termed the ADC-box, that is conserved across land plants. Transient reporter assays in tomato, in which ADC upstream regions were decoupled from their native coding sequences and fused to reporter genes, suggested that this element represses translation. However, its function in the native genomic context and its impact on PA homeostasis remain unclear. Here, we combined CRISPR-Cas9 genome editing, metabolite profiling, enzymatic assays, and RNA structure probing to define ADC-box function in tomato and in the seedless land plant Marchantia polymorpha, which retains a conserved [~]20 bp core region. Mutation of the M. polymorpha ADC-box increased ADC activity and altered PA levels, indicating that the ADC-box functions as a conserved translational repressor. In tomato, disruption of the ADC-boxes in SlADC1 and SlADC2 increased ADC activity, demonstrating that the ADC-box acts as a translational repressor in its native context. These ehects were most pronounced under cold stress, when ADC transcript levels increase, suggesting that the ADC-box buhers stress-induced translation. Metabolically, ADC-box disruption led to agmatine accumulation and alterations in upstream intermediates, while downstream PA pools remained largely unchanged. SHAPE analysis revealed that the tomato ADC-box folds into a three-stem RNA structure, with a central stem representing the major inhibitory module. ADC-box mutants displayed altered plant-microbe interactions, with enhanced resistance to Pseudomonas syringae and Tobacco rattle virus, but increased susceptibility to Ralstonia solanacearum and Tomato yellow leaf curl virus. Together, these findings establish the ADC-box as an evolutionarily conserved cis-regulatory element that stabilizes PA homeostasis and modulates plant-microbe interactions.

plant biology↗

bioRxiv2026

Lithium drives coordinated changes in the mouse synaptic phosphoproteome

Lithium is the gold standard mood stabiliser used to treat cycling mania and depression in bipolar disorder. Despite seven decades of clinical use, the mechanisms of its mood stabilisation are incompletely understood, fundamentally limiting development of improved alternatives. Two established lithium targets, glycogen synthase kinase 3{beta} (GSK3{beta}) and inositol monophosphatase, both modulate phosphorylation, suggesting lithium may exert broad effects on neuronal phosphorylation networks. We performed a discovery-phase in vitro screen of 140 kinases at 10mM LiCl and demonstrated that lithium inhibits 17 kinases beyond GSK3{beta}. We therefore used untargeted quantitative phosphoproteomics to create a comprehensive map of lithiums neural phosphorylation signature in lithium-treated mouse synaptoneurosomes. Samples were collected at dawn and dusk to match the peaks in phosphorylation that are induced by the sleep/wake cycle. Pathway analysis revealed convergence on synaptic plasticity, neurotransmitter release, and chemical transmission. Critically, lithium-sensitive phosphoproteins are significantly enriched in bipolar disorder genome-wide association study (GWAS) loci, providing independent genomic evidence that the phosphorylation networks we identified are relevant to bipolar pathophysiology. We identified novel kinase targets and phosphorylation sites not previously associated with lithiums mechanism of action and tied them to bipolar pathology. We further refined existing models of lithiums action by showing that GSK3{beta} inhibition is temporally restricted to dawn, indicating cross talk with sleep/wake cycles of phosphorylation. Overall, our data demonstrate that lithiums pleiotropic effects result from coordinated multi-kinase network reorganisation rather than single-target inhibition -- a principle with direct implications for rational polypharmacology in mood stabiliser development.

neuroscience↗

bioRxiv2026

Molecular architecture of Influenza A virions

Influenza A viruses (IAV) are clinically important pathogens that cause seasonal epidemics and pandemics in humans. IAV produce pleomorphic, enveloped virions, which can range from a spherical or bacilliform morphology, the predominant form in the most commonly studied laboratory strains, to long filamentous virions which are characteristic of clinical and veterinary isolates. Understanding the structure and function of filamentous virions is crucial for clarifying their role in viral persistence and immune evasion, and for informing the development of therapeutics that target their entry and/or egress pathways. Structural characterisation of influenza virions is challenging however owing to their fragility, heterogeneity and compared to most virus particles, unusually large size. Here, we combined structural and compositional approaches with integrative modelling to define the complete molecular architecture of influenza virions. In doing so we provide the first description of distinctive structural features of IAV filaments, including the selective incorporation of lipids, specific enrichment of viral and host proteins, and a viral cytoskeleton including a secondary helical layer within the viral capsid and extended fibrils of cofilactin. Collectively our findings suggest an important regulatory role for cofilactin in driving filament morphogenesis and provide important insights into the organisation and composition of IAV filamentous virions.

microbiology↗

bioRxiv2026

Dispersal, adaptation and persistence of H5N1 in the sub-Antarctic and Antarctica

High pathogenicity avian influenza virus (HPAIV) H5N1 reached the sub-Antarctic and Antarctica in 2023, subsequently spreading to remote locations within this region where it had devastating impacts on seal, penguin and albatross populations. The threat to marine wildlife over this broad area exemplifies the need to understand H5N1 long-distance dispersal and evolution. We obtained 104 novel viral genomic sequences from samples that we collected at South Georgia, Kerguelen, Crozet, Prince Edward, Falklands/Malvinas Islands and the Antarctic Peninsula in a region spanning 8,000 kilometers. Using recent phylogeographic modeling advances we show that H5N1 spread encompassed numerous transmission events between distant locations, accumulating mammalian-adaptive mutations in the process. Seals are the most affected species, but we reveal that the long-distance eastward virus dispersal better aligns with the long-distance movements of large petrels and albatrosses. The risk of H5N1 endemisation, dispersal to other locations and ongoing evolution are highly concerning.

microbiology↗

bioRxiv2026

Refined USP25/28 inhibitors with improved selectivity towards c-Myc driven squamous lung cancer cells

The ubiquitin specific protease 28 (USP28) is implicated in tumorigenesis by controlling the turnover of substrates including the oncogene c-MYC and the ubiquitin ligase FBW7. Here, we describe small molecule inhibitors of USP25 and USP28, leading to cancer cell cycle arrest and death. However, genetic deletion of USP25/28 does not replicate this effect. An integrated -omics approach revealed off-target effects for thienopyridine and thienopyrazine carboxamide compounds in protein translation. Chemoproteomics and biochemical analyses suggested binding of such compounds to a region near the ribosome complex polypeptide exit tunnel. Structural analysis of a USP28-inhibitor complex enabled the design of modified USP25/28 inhibitor molecules which minimized translation-related off-target effects. In distinction to earlier compounds, the optimized inhibitors were non-toxic to breast cancer cells yet retained potent anti-proliferative activity in squamous lung carcinoma cells, where USP28 is associated with disease progression. Together, our results demonstrate that refined USP25/28 inhibitors can selectively suppress tumor growth by targeting c-MYC driven pathways, offering a more precise therapeutic strategy for treating squamous lung cancers whilst minimizing undesired cytotoxicity.

cancer biology↗

bioRxiv2026

Proteomic Signatures of Mitochondrial Dysfunction Associated with Atrial Fibrillation in Goats

Atrial fibrillation (AF) increases energy demand in atrial myocytes, yet the mitochondrial mechanisms underlying this stress remain poorly defined. Using previously published proteomic data from left atrial tissue of AF and sham-operated goats, we performed organelle-specific bioinformatic analyses of the mitochondrial fraction. Over-representation and consensus pathway analyses consistently highlighted enrichment of oxidative phosphorylation (OXPHOS) subunits. Gene set enrichment and network analyses implicated Heat Shock Protein Family A Member 9 (HSPA9) as a potentially central regulatory hub coordinating the dysregulation of Complex I and III subunits, with 69% of regulatory relationships showing pathway concordance. These results indicate a coordinated, system-wide mitochondrial adaptation in AF, integrating energy production, proteostasis, and respiratory chain regulation.

molecular biology↗

bioRxiv2026

Circuit organization of the forelimb-related M2-to-M1 corticocortical pathway in the mouse

Communication from secondary (M2, premotor) to primary (M1) motor cortex is implicated in forelimb motor control. We investigated the underlying synaptic circuits in this corticocortical pathway in male and female mice using cell-type-specific optogenetic-electrophysiology methods, focusing on identifying the cell-type-specific synaptic connections in the excitatory and feedforward inhibitory circuits impinging on cervically projecting M1 corticospinal neurons. In forelimb M1 brain slices, recordings from layer 5B corticospinal neurons during brief photostimulation of M2 axons showed strong monosynaptic excitatory currents that, although accompanied by potent feedforward inhibitory currents, were capable of evoking action potentials (APs) in most neurons. In contrast, responses in layer 2/3 pyramidal neurons were generally much weaker. Parvalbumin-expressing neurons (PV), particularly in deeper layers, showed direct excitation from M2 axons without feedforward inhibition, and could fire APs robustly. Somatostatin (SST) neurons received generally weak inputs, whereas VIP and Ndnf neurons received stronger excitation and inhibition from M2 axons. Corticospinal neurons received little or no local inhibition from Ndnf and VIP interneurons, but relatively strong soma-targeting PV and dendrite-targeting SST inhibitory inputs, as functionally imaged by laser-scanning synaptic input mapping ("sCRACM"). The domains of PV and SST inputs were partly overlapping around the corticospinal somata, but broader for PV and more vertical for SST inputs. Collectively, the results provide a working model for the cell-type-specific synaptic circuits of this "top-down" corticocortical pathway, organized around direct M2 excitation and PV-mediated inhibition of M1 corticospinal neurons. SIGNIFICANCE STATEMENTCervically projecting corticospinal neurons in the primary motor cortex (M1) serve as the most direct conduits by which motor cortical activity reaches and influences spinal circuits controlling forelimb movements. Corticospinal activity is in turn influenced by inputs from multiple upstream areas. Here we studied the inputs from the secondary motor cortex (M2), a premotor-like area in the mouse, and characterized the patterns of synaptic connectivity formed by M2 axons onto multiple postsynaptic cell types in M1. The resulting "wiring diagram" suggests that these inter-areal circuits are configured to give premotor cortex privileged access to modulate M1 corticospinal output, through cell-type-specific connections and inhibitory mechanisms.

neuroscience↗

bioRxiv2026

SoftHybrid: A Hybrid Imputation Algorithm Optimised for Single-Cell Proteomics Data

Missing values (MVs) remain a significant barrier to reliable proteomics analysis, particularly in single-cell proteomics, where small amounts of starting material and limits in detection drive Missing-Not-At-Random (MNAR) sparsity. Existing imputation methods typically target either Missing-At-Random (MAR) or MNAR mechanisms, resulting in a trade-off between replicate consistency and preservation of biological variation, and are largely designed for bulk data. Here, we introduce SoftHybrid, a data-driven imputation framework that jointly models missingness and protein abundance to estimate the probability of MNAR, enabling continuous weighting between MAR- and MNAR-oriented strategies. SoftHybrid requires no external priors (cell type labels, group annotations, predefined missingness assumptions, etc.), enabling fully unsupervised applications. Across ground truth benchmarks and real single-cell proteomics datasets, SoftHybrid outperforms existing methods at low input and matches or exceeds their performance at the mini-bulk level. By preserving proteomic structure and abundance accuracy, it enhances the recovery of biologically meaningful signals. SoftHybrid is implemented as an R package and is freely available on GitHub.

bioinformatics↗

bioRxiv2026

Harmonizing the stimulation dose of focal tDCS across target sites

Non-invasive brain stimulation is an established tool for modulating neural activity that holds promise for advancing both cognitive neuroscience and clinical interventions. Focal transcranial direct current stimulation (tDCS), using center-surround electrode montages, enables more region-specific targeting. Although computational models can simulate individual electric fields, no existing approach enables the prospective individualization of electrode placement while standardizing the dose across targeted brain regions. In the current preparatory methodological study, we present a modeling-based framework that harmonizes the electric field strength between different target regions at the group level, but preserves inter-individual variability. This enables systematic examination of dose-response relationships and their regional differences. Positioning of the center-surround electrode montages is individualized to ensure focusing of the electric field on the target regions. We started by defining brain targets for eight cognitive and motor functions using MRI data from 43 participants. Using field simulations, we then estimated a group-average field strength in the target regions that had led to behavioral and physiological effects in prior tDCS studies (resulting in 0.2 V/m). The radii of the center-surround montages were optimized for each target region to achieve the intended field strength while maximizing focality. Validation in an independent sample (n=53) confirmed that the intended target field strength is achieved on average for new participants. The described computational tools are made available as open-source software, allowing other researchers to apply our individualization framework with parameters (target regions and target field strengths) tailored to their specific research questions; and are currently being implemented in a multi-center study involving approximately 1,000 datasets.

neuroscience↗

bioRxiv2025

Deep learning to overcome human error and bias in electrode position extraction in tDCS-fMRI studies

Combining transcranial direct current stimulation (tDCS) with fMRI enables investigation of stimulation effects, while structural MRI verifies electrode positioning, critical for focal montages where minor misplacements reduce target current dose. Currently, no fully automated methods exist for precise electrode extraction from MRI. We developed an Attention U-Net-based deep learning approach to automate electrode detection in focal tDCS-fMRI studies, using structural pointwise-encoding time reduction with radial acquisition (PETRA) MRI scans from a multicenter trial (N = 392 images; 1,568 electrodes, https://www.memoslap.de/en/home/). Performance was compared to manual and semi-automated methods for a 3x1 montage (three cathodes around a central anode). The network achieved robust segmentation (Dice Score = 0.76, Hausdorff distance = 36.76 mm), identifying all electrodes in 95% of cases (323/340). These metrics compared network-segmented electrodes to highly accurate, manually segmented electrodes, which are also called "ground truth". Linear mixed-effects models on 52 "ground truth" images showed deep learning outperformed manual and semi-automated methods, aligning best with ground truth. Fully/semi-automated methods comparison of 290 images showed highest agreement (ICC = 0.990, bias = 1.3 mm), while manual extraction exhibited larger biases (-5.77 to -7.06 mm) and systematic errors. The automated approach overcomes manual limitations by improving precision, eliminating human variability and bias, and enabling scalability for large studies. It sets a new standard for electrode verification in focal tDCS, particularly for studies requiring precise localization. The model is open-source, with future refinements discussed

neuroscience↗

bioRxiv2025

Hippocampal CA3 Nex/Neurod6+ neuron-specific TNFR2 alleviates chronic neuropathic pain by sex-dependently engaging opioid and endocannabinoid pathways

Chronic neuropathic pain (CNP) develops as a result of persistent neuroinflammation and maladaptive synaptic plasticity in the central nervous system following nerve injury. While tumor necrosis factor receptor 2 (TNFR2) signaling has been extensively studied in pain resolution, the expression of this receptor on specific neuronal populations and molecular pathways involved in spontaneous pain recovery still remains poorly defined. In this study, we investigated the role of TNFR2 signaling within hippocampal Nex/Neurod6 pyramidal neurons in promoting recovery from chronic constriction injury (CCI), a well-established rodent model of neuropathic pain. To achieve neuron-specific deletion of TNFR2, we generated tamoxifen-inducible conditional knockout mice (NexCreERT2:TNFR2F/F). We demonstrate that knocking out TNFR2 from Nex neurons prevents spontaneous pain recovery in both males and females. Thus, establishing that a supraspinal TNFR2 neuroimmune axis is necessary for pain recovery. Exogenous administration of a TNFR2 agonist at 7, 10, and 13 dpi (i.p.) significantly improved mechanical withdrawal thresholds in both sexes of wild-type mice but did not alleviate pain in Nex-specific TNFR2 knockouts, indicating that neuronal TNFR2 expression is required for TNFR2-mediated analgesia. Bulk RNA sequencing of hippocampal tissue collected at six weeks after CCI revealed that TNFR2 activation upregulates genes such as Pomc, involved in the opioid pathway, and oleoyl-ACP-hydrolase (OLAH), involved in the endocannabinoid pathway. Consistent with these findings, immunostaining and Western blot analyses showed that TNFR2 agonism restored cornu ammonis (CA3) region POMC and {beta}-endorphin protein levels that were otherwise suppressed after CCI. Behavioral experiment demonstrated that systemic blockade of the {micro}-opioid receptor with naltrexone (administered daily from 7-21 dpi (s.c.)) completely prevented TNFR2-mediated pain recovery in males but only partially in females. In contrast, inhibition of cannabinoid 1 receptor (CB1R) signaling with AM251 (administered at 7, 14, and 21 dpi (i.p.)) abolished TNFR2-driven analgesia in both sexes. Together, these results reveal that hippocampal TNFR2 signaling in Nex/Neurod6 neurons is critical in recovery from chronic neuropathic pain. TNFR2 activation promotes analgesia by engaging endogenous {beta}-endorphin/{micro}-opioid and endocannabinoid pathways in a sex-dependent manner, establishing TNFR2 agonism as a promising non-addictive therapeutic approach for chronic pain resolution. SignificanceChronic neuropathic pain (CNP) results from persistent neuroimmune signaling and is driven by maladaptive circuit plasticity. Due to the complexity of factors contributing to CNP, it often leaves patients with few treatment options, which, unfortunately, are either temporary or might be addictive. We have characterized a novel supraspinal mechanism through which tumor necrosis factor receptor 2 (TNFR2) signaling, specifically in hippocampal Neurod6/Nex+ expressing pyramidal neurons, is necessary for pain recovery following nerve injury. Pharmacological activation of TNFR2 in these neurons alleviates pain by engaging both endogenous opioid and endocannabinoid signaling pathways. We specifically demonstrate that TNFR2 agonism upregulates proopiomelanocortin (POMC) expression and {beta}-endorphin levels in the hippocampus. We further identify that pharmacological inhibition of either the -opioid receptor or cannabinoid 1 (CB1) receptor is sufficient to impair the effectiveness of TNFR2 agonist mediated pain resolution. Our findings thus uncover a novel neuroimmune mechanism where the TNFR2 agonist, exogenously activating the pro-resolving TNFR2, mitigates CNP by releasing endogenous pain neuromodulators. Here, we highlight that TNFR2 agonism could serve as a non-addictive therapeutic strategy for the resolution of chronic neuropathic pain.

pharmacology and toxicology↗

bioRxiv2025

Isolation of functional supramolecular attack particles (SMAPs)

High density cultures of the GMP compatible NK-92 natural killer cell line release heterogeneous extracellular particles (EP), notably extracellular vesicles (EV) and non-vesicular extracellular particles (NVEP). The NVEP include a small proportion of supramolecular attack particles (SMAPs), the direct cytotoxic potential of which suggests therapeutic promise, yet scalable enrichment and functional evaluation alongside other extracellular particles (EPs) have been lacking. Here, we develop a high-resolution serial size-exclusion liquid chromatography (SELC) workflow that resolves EPs into 4 fractions F1-F4, in which EV are enriched in F2 and SMAPs are enriched in F3. Multi-modal characterization using Nanoparticle Tracking Analysis (NTA), Nano Flow Cytometry (Nano FCM), Transmission Electron Microscopy (TEM), Total Internal Reflection Microscopy (TIRFM) and Proteomics) demonstrated that F2 NK-92 EVs are [~]130-150 nm particles enriched for complement proteins, whereas SMAPs (F3) are 100-110 nm particles enriched for cytotoxic proteins (PRF1, GZMB) and SMAP shell components (e.g., THBS1, THBS4). Functionally, Ca2+-stabilized SMAPs (F3) trigger caspase-3-dependent apoptosis in tumor cell lines with robust dose responses, while F2 lacks direct cytotoxicity in vitro. Ex vivo, F3 SMAPs kill patient-derived breast cancer and chronic lymphocytic leukaemia cells (CLL) in a concentration-dependent manner. In NSG mice, intra-tumoral treatment with SMAPs (F3) restrains the growth of aggressive B16F10 melanoma and PANC-1 pancreatic cancer, confirming in vivo functionality. These results establish a scalable method to isolate and compare NK-derived particle classes and provide a foundation for targeted SMAP engineering as a promising approach for treatment of solid tumours. Significance StatementCell therapies face barriers in solid tumours, including lack of entry and suppression. NK cells release extracellular particles (EPs), including supramolecular attack particles (SMAPs), that can traffic into tumour tissue. We define a practical, scalable chromatography process that resolves NK-derived SMAPs from other EPs and demonstrate that SMAPs induce caspase mediated apoptosis in vitro and engage in cytotoxic lymphocyte independent anti-tumour activity in vivo. These insights open a route to engineering and testing SMAP-based therapeutics to overcome limitations of whole-cell approaches in solid cancers.

immunology↗