bioRxiv Science⌕ Search

SEARCH · bioRxiv Science

Results for “Pathology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 721 records · Page 40Linked to original sources

Vascular Microbleeds Without Brain Atrophy: A Microvascular Signature of Mid-Stage 5xFAD Pathology

Cerebral microbleeds are increasingly recognized as a downstream manifestation of vascular injury in Alzheimers disease (AD), arising secondary to cerebral amyloid angiopathy (CAA). Here, we examined the pathological specificity of microbleeds by comparing an amyloidosis mouse model (5xFAD) with a small-vessel disease (SVD) model characterized by vascular smooth-muscle cell loss. In vivo multimodal MRI, including gradient-echo, spin-echo, and diffusion-weighted imaging, was complemented by ex vivo high-resolution anatomical scans for validation. Both in vivo and ex vivo gradient-echo MRI consistently revealed hippocampal microbleeds in the 5xFAD model without macroscopic atrophy or ventricular enlargement, whereas no microbleeds or blood-brain barrier disruption were detected in the SVD model. Diffusion-weighted MRI further showed region-specific alterations in apparent diffusion coefficient within the midbrain of 5xFAD mice, but not in other regions or in the SVD cohort. These findings indicate that microbleeds are a pathology-specific marker of amyloid-related vascular injury. The imaging evidence underscores the potential of microbleeds as a disease-specific biomarker for detecting amyloid-driven vascular fragility and refining diagnostic and therapeutic strategies for AD.

neuroscience↗

PKC-dependent MYRF dysregulation links Aβ pathology to oligodendrocyte, myelin and cognitive alterations in Alzheimer's disease

Alzheimers disease (AD) is characterized not only by neuronal loss and synaptic dysfunction but also by emerging evidence of oligodendrocyte and myelin pathology. Amyloid-{beta} (A{beta}), a hallmark of AD, disrupts oligodendrocyte homeostasis through mechanisms that remain poorly understood. Here, we investigated the role of the myelin regulatory factor (MYRF), a transcription factor essential for oligodendrocyte maturation, in AD-related glial dysfunction. Using the 3xTg-AD mouse model, we observed aberrantly induced maturation dynamics and reduced oligodendrocyte lineage cell density at 12 months in the dentate gyrus, accompanied by increased MYRF expression. Interestingly, sustained MYRF overexpression was found to be toxic for oligodendrocytes in vitro. Moreover, in vitro and in vivo experiments further demonstrated that A{beta} exposure elevates MYRF protein levels and enhances its transcriptional activity, pointing to post-translational regulation. Mechanistically, A{beta} impaired GSK3-dependent phosphorylation and Fbxw7-mediated ubiquitination of MYRF, prolonging N-MYRF stability, an effect prevented by PKC inhibition in vitro. Intracerebroventricular infusion of PKC inhibitor Go6983 normalized MYRF levels, restored oligodendrocyte populations and myelin integrity, and improved hippocampal-dependent spatial learning in 3xTg-AD mice, with locomotor activity and anxiety-like behavior remaining unaffected. Together, these findings identify MYRF dysregulation as a mechanistic link between A{beta}/PKC signaling and oligodendrocyte pathology, and highlight PKC inhibition as a potential strategy to restore oligodendroglial function and cognition in AD.

neuroscience↗

Tissue-guided multi-omics profiling identifies extracellular vesicle biomarkers indicative of lung pathology in acute respiratory distress syndrome

BackgroundAcute respiratory distress syndrome (ARDS) remains a lethal inflammatory lung condition lacking reliable biomarkers that reflect lung-specific pathology. Extracellular vesicles (EVs) circulate systemically and may carry molecular signals from injured organs, but the correspondence between EV cargo and lung tissue alterations remains unclear. MethodsWe established aspiration-, lipopolysaccharide (LPS)-, and COVID-19-induced murine ARDS models and applied a tissue-guided multiomics framework integrating proteomic and metabolomic analyses of lung tissue and plasma-derived EVs to identify lung-originating circulating biomarkers. ResultsFour proteins--haptoglobin (HP), inter-alpha-trypsin inhibitor heavy chains 3 and 4 (ITIH3, ITIH4), and clusterin (CLU)--were consistently upregulated in both lung tissue and plasma EVs across all ARDS etiologies. Metabolomic integration revealed dysregulation of arachidonic acid metabolism as a unifying inflammatory axis. Multiomics network analysis further distinguished etiology-specific molecular programs, including glycolytic activation in aspiration-induced, platelet aggregation in LPS-induced, and vascular smooth muscle dysregulation in COVID-19-induced ARDS. ConclusionsThis study establishes a tissue-informed EV profiling framework that links local lung pathology to systemic molecular signatures, revealing HP, ITIH3, ITIH4, CLU, and arachidonic-acid-related metabolites as potential diagnostic markers for ARDS. These findings provide a foundation for developing clinically translatable, EV-based biomarker assays for early detection and molecular subtyping of lung injury.

biochemistry↗

CleLight: A scalable 3D histology pipeline for mappingneurodegenerative and psychiatric pathology in archivalhuman brains

Mesoscopic brain imaging, enabled by advances in tissue clearing, light-sheet microscopy, and large-scale image processing, allows detailed analysis of cellular and molecular architecture across whole neural circuits. However, applying these methods to postmortem human brain tissue is hindered by strong autofluorescence, high tissue density, and fixation-induced damage. We introduce CleLight, a light-enhanced clearing method that increases tissue transparency while quenching autofluorescence. Combined with complementary chemical treatments, CleLight supports multiplexed immunolabeling and high-resolution imaging of centimeter-thick, formalin-fixed, paraffin-embedded human brain sections. It is compatible with a wide range of antibodies and fluorescent dyes, enabling the visualization of physiological and pathological features across diverse CNS regions in healthy and diseased samples. CleLight offers a simple, robust, and scalable workflow for clearing, deep labeling, and volumetric imaging of human brain tissue. Its compatibility with conventional histology and archival material makes it well suited for organ-wide pathological studies in large patient cohorts and historical brain collections.

neuroscience↗

Pathological angiogenesis RNA network analysis reveals a VEGF-independent gene signature with prognostic power for HER2+ breast cancer

Cancer and many ophthalmic diseases share angiogenesis as a common element for disease progression. Using a well-accepted animal model, we performed network coexpression analysis of mRNA and regulatory RNA to investigate the molecular landscape of pathological angiogenesis in the mouse retina. We assessed the relevance of the RNA coexpression analysis by building gene signatures for breast cancer (METABRIC cohort). Most of the gene signatures were prognostic, and one was prognostic for HER2+ breast cancer, outperforming previously reported HER2+ signatures. Interestingly, it did not include VEGF as variable, and multivariate Cox analysis further highlighted ANGPT2 as a key gene, suggesting that VEGF-independent neovascularization plays an important role in breast cancer. Next, we constructed a network linking mRNAs and regulatory RNAs involved in pathological angiogenesis; this analysis revealed three novel lncRNAs that may play a role in angiogenesis and tumor development. The novel prognostic gene signature and a comprehensive RNA-based regulatory network advance the understanding of angiogenic pathways and provide clinically relevant tools for HER2+ breast cancer stratification. Author SummaryThe formation of new blood vessels by angiogenesis is central in the origin and growth of cancer. Gene signatures are lists of genes that have strong correlation with a disease and/or its development. This study presents a novel angiogenesis gene signature with strong prognostic value for HER2+ breast cancer, an aggressive subtype of this disease. We also discovered novel long noncoding RNA genes that may have important roles in angiogenesis and in tumor development. These findings enhance our understanding of angiogenic mechanisms and offer clinically relevant tools for HER2+ breast cancer diagnosis, potentially guiding more precise therapeutic interventions.

cancer biology↗

STING_IFN_CH25H lipid axis links innate immune activation to tau pathology

Genetic risk for Alzheimers disease is strongly enriched in pathways governing microglial activation and cholesterol metabolism, yet how these processes converge to drive neurodegeneration remains unclear. Here, we identify the oxysterol 25-hydroxycholesterol (25- HC) as a pathogenic lipid downstream of the cGAS-STING-IFN pathway. In models of tau pathology, interferon signaling induces Cholesterol 25-hydroxylase (CH25H) expression in microglia. Ch25h deletion in female P301S mice suppressed tau aggregation, preserved synapses, prevented brain atrophy, and rescued memory. Mechanistically, loss of CH25H disrupted STING trafficking, attenuated IFN activation, dampened self-perpetuating microglial inflammation. Strikingly, 25-HC directly accelerated tau propagation in human iPSC derived neurons. It also disrupted lysosomal and mitochondrial lipid composition, driving cholesteryl ester accumulation and promoting apoptosis under tau-induced stress. These findings define a STING-IFN-CH25H lipid axis that bridges innate immune activation to tau pathology and toxicity, offering a tractable therapeutic pathway for inflammation-driven neurodegenerative conditions.

neuroscience↗

Kv1.3 inhibition alleviates neuropathology via neuroinflammatory and resilience pathways in a mouse model of Aβ pathology

Inhibition of voltage-gated potassium channel Kv1.3 is a therapeutic strategy to curb microglia-mediated neuroinflammation in neurodegeneration, although the cellular and signaling mechanisms of disease-modification by Kv1.3 blockers are unclear. In this study, we delineate protective mechanisms of Kv1.3 blockade in a mouse model of Alzheimers disease (AD) pathology using comprehensive transcriptomics and proteomics profiling of brain, corresponding with neuropathological effects of two translationally relevant Kv1.3 blockers, namely small molecule PAP-1 and peptide ShK-223. Following 3 months of treatment, both molecules reduced Ab plaque burden. Single nuclear RNA seq (snRNA seq) of brain nuclei showed that PAP-1 disproportionately impacted oligodendrocytes and microglia and increased crosstalk between neurons and astrocytes with endothelial cells. In contrast, ShK-223 had pronounced effects on glutamatergic neurons and astrocytes. Both blockers increased expression of myelination genes in oligodendrocytes and synaptic genes in neurons. Neuroprotective effects of PAP-1 were further confirmed by bulk brain transcriptomics and proteomics whereby PAP-1 increased levels of synaptic, cognitive resilience and mitochondrial proteins, while decreasing glial and immune pathways including STAT1/3 phosphorylation. Using proximity labeling and co-immunoprecipitation, we found that Kv1.3 interacts with STAT1/3 in microglia. Using microglial cell lines and primary microglia, we discovered a preferential functional coupling between Kv1.3 and type 2 but not type 1 IFN signaling. Brain-level disease modification by Kv1.3 blockade was reflected in the cerebrospinal fluid (CSF) via reduced levels of neurofilament-light (NEFL) and resilience protein RPH3A, both of which are increased in human AD CSF. Together, this study demonstrates functional links between Kv1.3 channels and type 2 IFN signaling and reveals distinct cellular effects of Kv1.3 blockers in AD pathology that correspond with reduced neuropathology and neuroinflammation, augmentation of resilience and neuro-vascular pathways, along with biomarkers of therapeutic effect.

neuroscience↗

Repetitive Hibernation-Like State Suppresses the Progression of Amyloid Pathology

Alzheimers disease (AD) is characterized by the gradual accumulation of amyloid pathology before the onset of cognitive impairment, yet effective strategies to alter disease progression remain limited. Here, we tested whether induction of a hibernation-like physiological state can slow amyloid pathology in an AD mouse model. To achieve sustained effects, we developed a protocol for repeated induction of a hypometabolic/hypothermic state and found that it significantly slowed plaque accumulation in a duration-dependent manner. This intervention also attenuated neuroinflammation and the formation of dystrophic neurites associated with plaques. Notably, this approach does not target specific molecular pathways but instead modulates global brain state. Our findings establish a proof-of-concept for a brain-state- based therapeutic paradigm for modifying disease progression in AD.

neuroscience↗

Proteome analysis reveals common players between the physiological neurodegeneration of the ascidian Ciona intestinalis and the pathological neurodegeneration in humans

Tunicates, including ascidians, are recognized as the true sister group of vertebrates and are emerging as models to study the development and degeneration of central nervous system (CNS). Ascidian larvae have the typical chordate body plan that includes a dorsal neural tube. During their metamorphosis, a deep tissue reorganization takes place, with some tissues that degenerate while others develop to become functional during the adult life. The larval CNS also degenerates and most neurons disappear, making room for the formation of adult CNS. The genome of the ascidian Ciona intestinalis has been sequenced and annotated, with several CNS specific genes that have been characterized, revealing specification mechanisms shared with humans. These features make ascidian metamorphosis a good model to study the mechanisms underlying physiological CNS degeneration and to compare them to the pathological conditions typical of neurodegenerative diseases. In order to shed light on the molecular determinants of C. intestinalis metamorphosis and neurodegeneration, we analyzed the proteome at three stages of development: swimming larva (SwL, Hotta stage 28), settled larva (SetL, Hotta stage 32) and metamorphosing larva (MetL, Hotta stage 34). A total of 405 modulated proteins were identified by mass spectrometry by comparing the three stages. Enrichment and network analysis showed the involvement of several processes/pathways, including autophagy and mTOR pathway, and actin cytoskeleton organization and remodeling among the most significant ones. This study elucidates molecular pathways underlying ascidian metamorphosis and highlights shared mechanisms between physiological neurodegeneration in ascidians and pathological neurodegeneration in humans.

neuroscience↗

Non-viral vasculogenic reprogramming restores cognition and mitigates pathology in Alzheimer's disease

Alzheimers Disease (AD) is characterized by progressive cognitive decline associated with amyloid-beta (A{beta}) plaques, neurofibrillaiy tangles, inflammation, synaptic loss, and profuse neuronal death. Accumulating evidence demonstrates that cerebrovascular impairment precedes the emergence of neuropathological hallmarks, implicating vascular dysfunction as an early contributor to AD onset and progression. We investigated a non-viral strategy to generate pro-vasculogenic fibroblasts by transiently overexpressing Et{upsilon}2, Foxc2, and Flii (EFF) as a potential cell-based therapy for neurovascular deficits in AD. To assess therapeutic potential, FFF-primc[d] fibroblasts were injected into a mouse model of AD (3xTg-AD) and wild-type controls via the intracerebroventricular (ICV) route, followed by cognitive assessments and subsequent brain tissue analyses. Our findings demonstrate that FFF-primed fibroblasts acquire vasculogenic properties, enhance cerebral blood flow (CBF), and alleviate spatial memory deficits in 3xTg-AD mice. Moreover, transplanted FFF-primed fibroblasts exhibited long-term survival, integrated into the brain vasculature, and promoted cortical vascular remodeling in the AD brain. Notably, ICV deployment of these cells is also correlated with reduced cortical amyloid-beta load, suggesting potential therapeutic benefits in reducing AD pathology. Transcriptomic analysis identified the activation of genes involved in fatty acid oxidation, such as Ppar, known for its anti-amyloidogenic and anti-inflammatory effects. Collectively, these findings highlight non- viral, reprogramming-based vasculogenic cell therapy as a promising strategy for Alzheimers disease, capable of alleviating cognitive decline and addressing AD pathology across cellular and tissue scales.

neuroscience↗

HistoSweep enables cellular-resolution tissue quality control for gigapixel images in digital pathology and spatial omics

High-resolution histology images are indispensable for pathology and increasingly serve as the structural backbone for spatial omics. Yet whole-slide images (WSIs) frequently contain artifacts, acellular voids, and background regions that, when included in computational workflows, introduce noise, degrade model accuracy, and compromise biological interpretation. Existing tools provide only coarse foreground-background separation, leaving a gap in fine-grained quality control (QC). Here we present HistoSweep, a scalable framework that generates morphology-aware tissue masks at cellular resolution. By integrating density filtering, texture descriptors, and adaptive thresholding, HistoSweep systematically removes non-informative tissue regions while preserving biologically meaningful microstructures. It processes billion-pixel WSIs in minutes on standard CPUs, requiring no GPU acceleration, and is deployable across research and clinical settings. Across 25 WSIs spanning distinct tissues, disease states, and spatial omics platforms, HistoSweep consistently outperformed existing methods. It enhanced visualization and segmentation, improved virtual cell type predictions, and safeguarded spatial transcriptomics integrity by detecting transcript leakage and transcript-histology misalignment. By enabling fine-grained, scalable QC, HistoSweep provides a foundational preprocessing step for reliable and reproducible digital pathology and spatial omics analyses.

bioinformatics↗

Kainate receptors are critical for permissivity to sustained, disorganized and network-wide pathological activity in the epileptic dentate gyrus

In temporal lobe epilepsy, the dentate gyrus (DG) undergoes extensive reorganization through recurrent mossy fiber (rMF) sprouting, involving both AMPA and kainate receptors (KARs) at granule cell-to-granule cell (GC-GC) recurrent synapses. While KARs are known to enhance neural excitability, their specific contribution to the dynamics of the epileptogenic GC-GC network remains poorly understood. Here, by building and assessing a DG network model endowed with KARs, we revealed that the slow excitatory postsynaptic potentials (EPSPs) they mediate, in synergy with persistent sodium currents, profoundly reshape epileptogenic dynamics by facilitating the conditions for pathological activity, through two complementary mechanisms. Regarding input processing, KARs extended the window for temporal integration in GCs, favoring the initiation of network aberrant activities in response to more dispersed input patterns. Concerning network interactions, KARs reduced the number of sprouted connections needed for the development of epileptiform discharges. In fact, the extension of the structural and functional parameter region driving epileptiform activity was effective both for their initiation and, critically, their sustained maintenance. Moreover, KARs drove a striking transition in network behaviour, from partially organized collective dynamics to a highly disordered regime. In their presence, massive firing propagated through the DG network, disrupting spatial and temporal spiking patterns. This resulted in increased activity dimensionality and entropy, together with reduced mutual information between neurons. Altogether, our results suggest that KARs are not merely amplifiers of network excitation but critical determinants that fundamentally reshape the dynamical landscape, rendering the sprouted DG network permissive to self-sustaining pathological activity.

neuroscience↗

Pathological stiffening by crosslinking glycation of titin

Heterogeneous, non-enzymatic glycation chemistry triggered by sugar-derived metabolites is typical of diseases that also entail pathological stiffening of cells, such as diabetes and age-related disorders. However, the mechanisms responsible for cell stiffening and the role of glycated biomolecules remain largely unexplored. Here, we show that glycation of cardiac titin, a giant intracellular protein scaffolding contractile sarcomeres, is increased in diabetes and leads to rigidification of both the protein and cardiomyocytes. Mechanistically, glycation-induced titin stiffening results from decreased contour length and enhanced folding of otherwise structurally intact protein domains following extensive formation of intramolecular crosslinking advanced glycation end products (AGEs). These stiffening effects outweigh softening contributions by competing, non-crosslinking AGEs. In combination, our work overcomes the intrinsic chemical complexity typical of glycation to uncover crosslinking AGEs as a source of pathological stiffening of cells, which we propose contributes to tissue dysfunction in situations of glycative stress.

biophysics↗

Large-scale Perturbation of Systems Biology-Derived Genes Reveals Modifiers of HD-associated Transcriptomic Networks and Pathology

In Huntingtons disease (HD), disease-driver genes are broadly expressed, but pathogenic players specific to vulnerable neurons remain poorly defined. Leveraging a previously defined mutant huntingtin (mHtt) CAG-length-associated gene network, we perturbed 115 module hub genes with heterozygous knockout (KO-het) to assess their striatal transcriptomic modifier effects in wildtype and Q140 HD mice. We generated 3,592 striatal RNA-seq datasets, mapped 6,517 perturbagen-responder gene pairs, and uncovered regulators of medium spiny neuron (MSN) identity gene expression and DNA- methylase/demethylase-sensitive genes. We developed a bioinformatic pipeline to rank the perturbations with significant impacts on striatal transcriptome and HD-associated gene networks in wildtype or Q140 mice. KO-het for FoxP1 and Scn4b (two MSN-selective genes) exacerbated, whereas Pdp1 KO-het ameliorated, Q140 striatal pathology. Importantly, knockdown of functionally opposing ion channels, SCN4B and KCNH4, dichotomously affected aggregation and neurodegeneration in reprogrammed HD patient MSNs. Together, our study rigorously evaluated systems biology-derived candidates to identify modifiers of HD-associated molecular networks and pathology, providing an in vivo perturbation- transcriptome resource and highlighting genes involved in MSN excitability, transcription, calcium signaling, and mitochondrial metabolism in HD pathogenesis.

genetics↗

Sertad4 regulates pathological cardiac remodeling.

Cardiac fibrosis driven by persistent myofibroblast activation is a major contributor to adverse ventricular remodeling and heart failure. Bromodomain and extra-terminal domain (BET) inhibition reduces fibrosis and hypertrophy in preclinical models, but direct targeting of the BET co-activator BRD4 is limited by family homology and potential systemic toxicity. Sertad4 (SERTA domain containing protein 4) is a BRD4-dependent gene induced in activated cardiac fibroblasts, yet its role in cardiac pathology is unknown. Here, we examined Sertad4 expression and function in human heart failure and in murine myocardial infarction (MI). SERTAD4 protein was increased in left ventricular tissue from heart failure patients compared with non-failing controls. In Sertad4/LacZ reporter mice, MI triggered strong Sertad4 activation localized to the infarct scar and border zone, with minimal expression in remote myocardium; single-nucleus RNA sequencing further demonstrated that Sertad4 expression is predominantly fibroblast-restricted and significantly upregulated after MI. To test causality, we subjected global Sertad4 knockout mice to 28-day left anterior descending coronary artery ligation. Sertad4 deletion attenuated post-MI remodeling, reduced hypertrophy and ventricular dilation, and preserved systolic function. Consistent with improved structure and function, knockout hearts exhibited reduced cardiomyocyte cross-sectional area and decreased expression of fibrosis and hypertrophy associated genes. Together, these findings identify Sertad4 as a fibroblast enriched regulator of pathological remodeling and suggest that targeting Sertad4 may offer a more cell type-selective alternative to direct BET/BRD4 inhibition for limiting cardiac fibrosis and progression to heart failure

physiology↗

CosMxScope: Scalable Reconstruction and Digital Pathology Integration of Imaging-Based Spatial Transcriptomics Data

Spatial transcriptomics technologies have transformed the capacity to quantify gene expression from human tissues, simultaneously capturing both the cell functional state and spatial organization at cellular and subcellular resolution. The CosMx Spatial Molecular Imager (SMI) is one of the leading platforms at single-cell spatial multi-modal omics profiling, capable of measuring thousands of RNA or protein targets per cell across whole slide sections. Data exported includes field-of-view (FOV) image tiles, subcellular transcript coordinates, and cell segmentation polygons, outputs that are rich in spatial information but not directly compatible with widely used digital pathology tools. Here we present CosMxScope, a lightweight open-source Python framework that bridges CosMx spatial outputs with histopathology visualization environments. CosMxScope provides functions for stitching FOV image tiles into reconstructed whole-slide images, converting cell segmentation polygons and transcript coordinates into GeoJSON objects which enabled further assessments within QuPath, and generating spatial visualization plots of cell types, transcript locations, and gene expression patterns. The framework is designed for practical use in translational research settings, enabling interactive exploration of spatial transcriptomic data alongside cell morphology. CosMxScope has been applied in multiple ongoing research projects involving CosMx profiling of human and mouse tissues, supporting pathology-based spatial analysis workflows. This open-source software is available at https://github.com/AivaraX-AI/CosMxScope.

bioinformatics↗

Pathological cortico-STN beta coupling in Parkinson's disease is confined to beta bursts

Abnormal beta-band activity (13-30 Hz) within the cortico-basal ganglia network is a hallmark of Parkinsons disease (PD) and is closely linked to motor impairment. Pathological beta activity in the subthalamic nucleus (STN) occurs predominantly as brief, high-amplitude bursts rather than continuous oscillations. Although beta-band coherence between the STN and cortex increases during bursts, it remains unclear whether cortico-STN beta coupling persists outside these bursts. Using intraoperative STN local field potentials and simultaneous cortical electrocorticography from seven patients undergoing deep brain stimulation implantation surgery, cortico-STN beta coupling during burst and non-burst epochs was compared. Coupling was assessed using magnitude-squared coherence and the debiased weighted phase lag index (dwPLI) and compared against surrogate distributions generated by circular time-shifting. Both coupling metrics were significantly elevated during burst epochs relative to non-burst periods. During non-burst epochs, coupling collapsed to surrogate levels, indicating no evidence of sustained synchronization. Time-resolved analyses further demonstrated that elevated coupling was confined to burst epochs. Although a subset of motor cortical contacts exhibited elevated baseline coherence, coupling was less evident using dwPLI. These findings suggest that pathological cortico-STN beta coupling in PD is preferentially expressed during beta bursts rather than sustained across non-burst epochs, with implications for adaptive neuromodulation strategies.

neuroscience↗

Sleeve gastrectomy improves metabolic health, cognition, and Alzheimer's Disease pathology in 3xTG mice

Obesity and diabetes are well-established risk factors for Alzheimers disease (AD), implicating metabolic dysfunction in AD pathogenesis. Sleeve gastrectomy (SG) is among the most effective metabolic interventions available, yet its impact on AD progression remains poorly understood. We hypothesized that SG performed early in life would improve metabolic health, attenuate AD pathology, and preserve cognition in a transgenic AD mouse model. Five-week-old female 3xTg-AD mice were preconditioned on a Western diet (WD) to induce obesity and glucose intolerance, then randomized to SG or sham surgery and maintained on either standard chow or continued WD for 12 months. Metabolic phenotyping, body composition, and cognitive assessments (Novel Object Recognition, Barnes Maze, Fear Conditioning) were performed longitudinally, with histological and molecular analysis of brain tissue at endpoint. Under chow-fed conditions, SG reduced adiposity, improved insulin sensitivity, and decreased cortical A{beta} plaque burden, accompanied by attenuated gliosis (GFAP, IBA1) and region-specific, insulin pathway-dependent modulation of autophagy. Under persistent WD, SG improved metabolic health, frailty, spatial cognition, and A{beta} pathology, again with corresponding perturbations in autophagy pathway activity. Across all groups, food intake did not differ significantly, indicating that these effects were not secondary to caloric restriction. Collectively, these data suggest that SG engages neuroprotective brain insulin signaling pathways, supporting metabolic surgery as a promising disease-modifying intervention for AD prevention in individuals with obesity.

neuroscience↗