Biology subjects

Aziz, S.

Publications and source records attributed to Aziz, S..

16 recordsLinked to original sources

bioRxiv2026

Agomelatine drives sex-specific neuroprotection and reduced pathology in rat and human Alzheimer's models

Alzheimers disease (AD) remains without effective disease-modifying therapies, underscoring the need for interventions that target interconnected molecular and cellular processes driving cognitive decline. Leveraging a cross-species translational framework integrating a progressive rat model of Alzheimers disease with human iPSC-derived neurons carrying familial AD mutations, we identify agomelatine (AGO) as a disease-modifying candidate. A clinically used melatonergic agonist and 5-HT2C serotonergic antagonist, we found that AGO acts as a sex-selective modulator of AD-related neuronal and microglial dysfunction with therapeutic relevance across species. TgF344-AD rats and their wildtype littermates received chronic dietary AGO ([~]10 mg/kg/day) from 5 to 11 months of age and underwent hippocampal-dependent spatial learning assessment, quantitative hippocampal histopathology, and bulk RNA sequencing to evaluate the therapeutic effect on cognition, pathology, and molecular mechanisms. Human isogenic iPSC-derived cortical neurons carrying PSEN2N141I or APPV717I mutations were treated with 20 {micro}M AGO followed by bulk RNA sequencing, to define AGO-driven transcriptional pathway modulation in AD neurons In TgF344-AD rats, AGO produced robust female-specific benefits. AGO selectively restored hippocampal-dependant cognitive performance in female but not male transgenic rats. These improvements were independent of amyloid burden and instead aligned with reductions in microgliosis and pathogenic AT8-positive tau phosphorylation. Additionally, AGO normalized reactive and amoeboid microglial states exclusively in females and enhanced doublecortin-defined neurogenesis without altering mature NeuN neuronal density. This coordinated hippocampal stabilization highlights AGOs capacity to restore plasticity rather than simply suppress pathology. Transcriptomic analyses revealed sex-divergent mechanisms underlying these effects. In females, AGO activated metabolic, oxygen-handling, lipid-processing, neuroimmune, and CREB/IGF-1 signaling pathways while suppressing ER-stress, epigenetic, and ion-channel transcripts, changes consistent with resilience-promoting cellular reprogramming. In males, AGO preferentially modulated mitochondrial redox biology, transcriptional regulators, and extracellular matrix components. Despite these differences, both sexes showed AGO-induced engagement of conserved AD-relevant pathways, including shared induction of synaptic plasticity and hemoglobin/oxygen-transport related genes, suggesting a convergent neuroprotective molecular signature. To translate these findings to a human system, we examined AGOs effects in PSEN2N141I and APPV717I iPSC-derived cortical neurons. Both mutations produced convergent deficits in synaptic integrity, neuronal maturity, trophic signaling, proteostasis, metabolism, and excitability, alongside dysregulated developmental and ECM-remodeling programs. AGO partially reversed these pathogenic transcriptional changes, up-regulating synaptic, metabolic, vesicle-trafficking, and redox-stress resilience genes while suppressing pathological developmental and inflammatory pathways, demonstrating conserved engagement of neuronal recovery programs. Together, these results identify AGO as a promising non-amyloid therapeutic candidate capable of modulating AD-relevant pathways in rodents and human models. The sex-selective efficacy observed in vivo, combined with conserved transcriptional responses across species, underscores the translational relevance of AGO-driven molecular reprogramming in AD.

neuroscience↗

bioRxiv2025

Why do we need high-fidelity synthetic eye movement data and how should they look like?

Eye tracking has been a popular behavioral recording method across psychology, neuroscience, and computer science, but a need for large and diverse datasets has emerged. Synthetic eye movement data offer a promising complement, yet it remains unclear which aspects of real oculomotor behavior they must capture. This paper has three objectives: to clarify why synthetic eye movement data are needed, to outline what high-fidelity synthetic signals should look like, and to demonstrate how existing longitudinal datasets and subjective reports can guide their design and validation. We analyzed the motivation for synthetic eye movements and presented a framework of eye movement variance: ocassion-specific or state-specific variance, between-individual variance, pipeline induced variance and noise. Finally, we analyze subjective reports collected alongside the GazeBase dataset, demonstrating some ocassion-specific variance in data and setting requirements for state-free synthetic eye movement signals.

animal behavior and cognition↗

bioRxiv2025

Sorafenib, a clinically approved kinase inhibitor attenuates Streptococcus pneumoniae pathogenesis in vivo by targeting serine/threonine kinase StkP

Streptococcus pneumoniae is a respiratory commensal bacterium responsible for over one million annual fatalities globally, particularly among children under five years of age. The rapid emergence of macrolide-resistant strains led the WHO in 2024 to designate S. pneumoniae as a priority pathogen, underscoring the need for alternative strategies such as anti-virulence therapy. Here, we repurposed the FDA-approved cancer drug, sorafenib identified by in silico screening of compounds targeting the bacterial Serine/Threonine kinase protein StkP, an essential regulator of cell division and peptidoglycan synthesis conserved across many bacterial pathogens. Sorafenib interacts with the StkP-kinase domain and exhibited broad-spectrum activity against diverse pneumococcal serotypes including multi-drug-resistant clinical isolates. Ectopic expression of StkP in both wild-type and isogenic mutant strains conferred partial resistance to sorafenib, confirming on-target activity. Scanning electron microscopy revealed aberrant cell-wall morphology, and differential viability staining demonstrated increased membrane permeability. Consistently, sorafenib-treated bacteria showed significantly higher complement C3 deposition and consequent killing in human serum. In human lung epithelial cells, sorafenib reduced bacterial adherence and invasion without detectable host cytotoxicity. Serial passaging at sub-microbicidal concentrations indicated a low propensity for resistance development in vitro. In vivo, sorafenib administration reduced mortality and lung bacterial load in a mouse model of pneumonia. Taken together, our data identify StkP as target of sorafenib in S. pneumoniae and justify its continued preclinical development for therapeutic intervention.

microbiology↗

bioRxiv2024

Identification of Molecular Compounds Targeting Bacterial Propionate Metabolism with Topological Machine Learning

This study demonstrates the effective integration of comparative protein sequence analysis with novel topological machine learning methods to tackle a key issue in computational biology: identifying potential inhibitor compounds for methylcitrate dehydratase--an enzyme essential to the methylcitrate pathway in bacteria and fungi. While many ML models have proven effective on benchmark datasets, we applied these techniques specifically to discover compounds for this target protein. This pathway, crucial for metabolizing propionic acid, is essential in pathogenic bacteria for utilizing host-derived lipids and amino acids, making it a promising antimicrobial target. Inefficient removal of propionate can lead to toxic accumulation, threatening microbial survival. In our research, we utilize the latest methods in topological machine learning, multiparameter persistence, to transform the molecular structure of potential compounds into topological vectors for ligand-based drug discovery. By applying our tailored topological model, we prioritized 15 compounds with promising characteristics for inhibiting the active site of methylcitrate dehydratase. Computational molecular docking simulations reveal that these identified compounds interact with key amino acid residues critical to the enzymes function. Our findings underscore the power of integrating topology-based modeling with comparative sequencestructure-function analysis and ligand docking. Considering compounds geometric fit, energy, and interaction profiles enhances predictions and guides the design of optimized new compounds. This refined approach offers a solid foundation for lead optimization, representing the most promising molecular scaffolds for modification, advancing compound discovery, and providing valuable insights into binding interactions for further experimental validation and potential drug development. Our code is available at https://github.com/AstritTola/Molecular-Compounds-Targeting

microbiology↗

bioRxiv2024

Embryonic motor neuron programming factors reactivate immature gene expression and suppress ALS pathologies in postnatal motor neurons

Aging is a major risk factor in amyotrophic lateral sclerosis (ALS) and other adult-onset neurodegenerative disorders. Whereas young neurons are capable of buffering disease-causing stresses, mature neurons lose this ability and degenerate over time. We hypothesized that the resilience of young motor neurons could be restored by re-expression of the embryonic motor neuron selector transcription factors ISL1 and LHX3. We found that viral re-expression of ISL1 and LHX3 reactivates aspects of the youthful gene expression program in mature motor neurons and alleviates key disease-relevant phenotypes in the SOD1G93A mouse model of ALS. Our results suggest that redeployment of lineage-specific neuronal selector transcription factors can be an effective strategy to attenuate age-dependent phenotypes in neurodegenerative disease.

neuroscience↗

bioRxiv2024

Integrated stress response associated with dark microglia promotes microglial lipogenesis and contributes to neurodegeneration

Microglia, the brains primary resident immune cells, are a heterogeneous population and can assume phenotypes with diverse functional outcomes on brain homeostasis. In Alzheimers disease (AD), where microglia are a leading causal cell type, microglia subsets with protective functions have been well characterized. Yet, the identity of microglia subsets that drive neurodegeneration remains unresolved. Here, we identify a neurodegenerative microglia phenotype that is characterized by a conserved stress signaling pathway, the integrated stress response (ISR). Using mouse models to activate or inhibit ISR in microglia, we show that ISR underlies the ultrastructurally distinct "dark" microglia subset linked to pathological synapse loss. Inducing microglial ISR in murine AD models exacerbates neurodegenerative pathologies, such as Tau pathology and synaptic terminal loss. Conversely, inhibiting microglial ISR in AD models ameliorates these pathologies. Mechanistically, we present evidence that ISR promotes the secretion of toxic long-chain lipids that impair neuron and oligodendrocyte homeostasis in vitro. Accordingly, small molecule-based inhibition of lipid synthesis in AD models ameliorates synaptic terminal loss. Our results demonstrate that activation of ISR within microglia represents a novel pathway contributing to neurodegeneration and suggest that this may be sustained, at least in part, by the secretion of long-chain lipids from ISR-activated microglia.

neuroscience↗

bioRxiv2023

Bacterial pore-forming toxin pneumolysin drives pathogenicity through shed toxin-loaded host extracellular vesicles

Streptococcus pneumoniae is a global priority respiratory pathogen that kills over a million people annually and produces the pore-forming cytotoxin, pneumolysin (PLY). Host cells expel membrane assembled toxin by shedding microvesicles, but the composition and pathophysiological sequelae of the toxin-induced host extracellular vesicles (EVs) are unknown. Here, we found that EVs shed from PLY-challenged monocytes (PLY-EVs) harbor membrane-bound toxin that induced cytotoxicity upon fusion with recipient cells. EVs from human monocytes challenged with recombinant PLY as well as PLY-expressing pneumococcal strains, but not the isogenic PLY mutant, primed dendritic cells and evoked higher pro-inflammatory cytokines upon infection. Proteomic analysis revealed that PLY-EVs are enriched for key antimicrobial and inflammatory host proteins such as IFI16, NLRC4, PTX3 and MMP9. In vivo, zebrafish and mice administered with PLY-EVs showed mortality, pericardial edema, tissue damage and inflammation. Our findings show that host EVs bearing the cytotoxin PLY constitute a previously unexplored mechanism of pneumococcal pathogenesis.

microbiology↗

bioRxiv2022

Allelic gene polymorphisms suspected to diversify the individual early metabolic response upon influenza H3N2 and SARS-CoV-2 infections

In this brief report, we point to virus infection time-dependent transcript levels of polymorphic ASMTL genes in human nasal epithelial cells from seven cell origins. Our observations encourage focused top-down and hypothesis-driven studies in support of more efficient allelic genotyping to identify targets for early resilience prediction.

cell biology↗

bioRxiv2022

Neurogenesis and angiogenesis are associated features of aggressive breast cancer

The tumor microenvironment (TME) is important for cancer growth and progression. While angiogenesis is an established hallmark of cancer, the role of nerve fibers is less studied. Here, we investigated neurogenesis and angiogenesis in breast cancer and found them to be closely associated. Single-cell based spatial mapping by imaging mass cytometry (IMC) indicated close proximity between neural and vascular structures. Subsequent validation by tissue-based markers of neurogenesis and angiogenesis, supported by proteomics and transcriptomics data of tissues and cell lines, supported a link between these processes. A consolidated neuro-angiogenic signature score was linked to high-grade breast cancer and reduced patient survival, also within the low-grade luminal tumor subgroup. Our findings support that neurogenesis and angiogenesis are related in aggressive breast cancer and might possibly improve tumor stratification and clinical management.

cancer biology↗

bioRxiv2021

Transcriptome data from human nasal epithelial cells infected by H3N2 influenza virus indicate early unbalanced ROS/RNA levels, temporarily increased aerobic fermentation linked to enhanced α-tubulin and rapid energy-dependent IRF9-marked immunization

BackgroundTranscriptome studies of a selected gene set (ReprogVirus) had identified unbalanced ROS/RNS levels, which connected to increased aerobic fermentation that linked to alpha-tubulin-based cell restructuration and cell cycle control, as a major complex trait for early de novo programming (CoV-MAC-TED) upon SARS-CoV-2 infection. Recently, CoV-MAC-TED was confirmed as promising marker by using primary target human nasal epithelial cells (NECs) infected by two SARS-CoV-2 variants with different effects on disease severity. To further explore this marker/cell system as a standardized tool for identifying anti-viral targets in general, testing of further virus types is required. Results: Transcriptome level profiles of H3N2 influenza-infected NECs indicated ROS/RNS level changes and increased transcript accumulation of genes related to glycolysis, lactic fermentation and -tubulin at 8 hours post infection. These early changes linked to energy-dependent, IRF9-marked rapid immunization. However, ReprogVirus-marker genes indicated the absence of initial cell cycle progress, which contrasted our findings during infections with two SARS-CoV-2 variants, where cell cycle progress was linked to delayed IRF9 response. Our results point to the possibility of CoV-MAC-TED-assisted, rapid individual host cell response identification upon virus infections. Conclusion: The complex trait CoV-MAC-TED can identify similar and differential early responses of SARS-CoV-2 and influenza H3N2 viruses. This indicates its appropriateness to search for anti-viral targets in view of therapeutic design strategies. For standardization, human NECs can be used. This marker/cell system is promising to identify differential early cell responses upon viral infections also depending on cell origins.

cell biology↗

bioRxiv2021

Major complex trait for early de novo programming 'CoV-MAC-TED' detected in human nasal epithelial cells infected by two SARS-CoV-2 variants is promising for designing therapeutic strategies

BackgroundEarly metabolic reorganization was only recently recognized as essentially integrated part of immunology. In this context, unbalanced ROS/RNS levels that connected to increased aerobic fermentation, which linked to alpha-tubulin-based cell restructuration and control of cell cycle progression, was identified as major complex trait for early de novo programming ( CoV-MAC-TED) during SARS-CoV-2 infection. This trait was highlighted as critical target for developing early anti-viral/anti-SARS-CoV-2 strategies. To obtain this result, analyses had been performed on transcriptome data from diverse experimental cell systems. A call was released for wide data collection of the defined set of genes for transcriptome analyses, named ReprogVirus, which should be based on strictly standardized protocols and data entry from diverse virus types and variants into the ReprogVirus Platform. This platform is currently under development. However, so far an in vitro cell system from primary target cells for virus attacks that could ideally serve for standardizing data collection of early SARS-CoV-2 infection responses was not defined. ResultsHere, we demonstrate transcriptome level profiles of the most critical ReprogVirus gene sets for identifying CoV-MAC-TED in cultured human nasal epithelial cells. Our results (a) validate Cov-MAC-TED as crucial trait for early SARS-CoV-2 reprogramming for both tested virus variants and (b) demonstrate its relevance in cultured human nasal epithelial cells. ConclusionIn vitro-cultured human nasal epithelial cells proved to be appropriate for standardized transcriptome data collection in the ReprogVirus Platform. Thus, this cell system is highly promising to advance integrative data analyses by help of Artificial Intelligence methodologies for designing anti-SARS-CoV-2 strategies.

cell biology↗

bioRxiv2021

ROS/RNS balancing, aerobic fermentation regulation and cell cycle control a complex early trait ('CoV-MAC-TED') for combating SARS-CoV-2-induced cell reprogramming

In a perspective entitled From plant survival under severe stress to anti-viral human defense we raised and justified the hypothesis that transcript level profiles of justified target genes established from in vitro somatic embryogenesis (SE) induction in plants as a reference compared to virus-induced profiles can identify differential virus signatures that link to harmful reprogramming. A standard profile of selected genes named ReprogVirus was proposed for in vitro-scanning of early virus-induced reprogramming in critical primary infected cells/tissues as target trait. For data collection, the ReprogVirus platform was initiated. This initiative aims to identify in a common effort across scientific boundaries critical virus footprints from diverse virus origins and variants as a basis for anti-viral strategy design. This approach is open for validation and extension. In the present study, we initiated validation by experimental transcriptome data available in public domain combined with advancing plant wet lab research. We compared plant-adapted transcriptomes according to RegroVirus complemented by alternative oxidase (AOX) genes during de novo programming under SE-inducing conditions with in vitro corona virus-induced transcriptome profiles. This approach enabled identifying a major complex trait for early de novo programming during SARS-CoV-2 infection, called CoV-MAC-TED. It consists of unbalanced ROS/RNS levels, which are connected to increased aerobic fermentation that links to alpha-tubulin-based cell restructuration and progression of cell cycle. We conclude that anti-viral/anti-SARS-CoV-2 strategies need to rigorously target CoV-MAC-TED in primary infected nose and mouth cells through prophylactic and very early therapeutic strategies. We also discuss potential strategies in the view of the beneficial role of AOX for resilient behavior in plants. Furthermore, following the general observation that ROS/RNS equilibration/redox homeostasis is of utmost importance at the very beginning of viral infection, we highlight that de-stressing disease and social handling should be seen as essential part of anti-viral/anti-SARS-CoV-2 strategies.

cell biology↗

bioRxiv2021

PRSS2 promotes tumor growth and progression by repressing Tsp-1 in the tumor microenvironment via binding to LRP1

In the earliest stages of tumor development, epithelial tumors (carcinomas) are physically confined to the area of the tissue in which they form. These nascent lesions (carcinomas in situ) are sequestered from the tissue parenchyma by the basement membrane. Within the tissue parenchyma lie a myriad of cell types comprised of fibroblasts, immune and inflammatory cells and endothelial cells. Upon invasion across the basement membrane and into the tissue parenchyma, tumors must manipulate the expression of pro- and anti-tumorigenic proteins such that pro-tumorigenic factors are produced in excess to anti-tumorigenic proteins. One such anti-tumorigenic protein is Thrombospondin-1 (Tsp-1). We have previously demonstrated that stimulation of Tsp-1 in the tumor microenvironment (TME) potently inhibits tumor growth and progression and in some cases induces tumor regression. Here, we identify a novel tumor-mediated mechanism to repress the expression of Tsp-1 in the TME via secretion of the serine protease PRSS2. We demonstrate that PRSS2 represses Tsp-1, not via its enzymatic activity, but by binding to low-density lipoprotein receptor-related protein 1 (LRP1). These findings describe a novel activity for PRSS2 through binding to LRP1 and represent a potential therapeutic strategy to treat cancer by blocking the PRSS2-mediated repression of Tsp-1.

cancer biology↗

bioRxiv2020

Feasibility of Integrating Canine Olfaction with Chemical and Microbial Profiling of Urine to Detect Lethal Prostate Cancer

Prostate cancer is the second leading cause of cancer death in men in the developed world. A more sensitive and specific detection strategy for lethal prostate cancer beyond serum prostate specific antigen (PSA) population screening is urgently needed. Diagnosis by canine olfaction, using dogs trained to detect cancer by smell, has been shown to be both specific and sensitive. While dogs themselves are impractical as scalable diagnostic sensors, machine olfaction for cancer detection is testable. However, studies bridging the divide between clinical diagnostic techniques, artificial intelligence, and molecular analysis remains difficult due to the significant divide between these disciplines. We tested the clinical feasibility of a cross-disciplinary, integrative approach to early prostate cancer biosensing in urine using trained canine olfaction, volatile organic compound (VOC) analysis by gas chromatography-mass spectroscopy (GC-MS) artificial neural network (ANN)-assisted examination, and microbial profiling in a double-blinded pilot study. Two dogs were trained to detect Gleason 9 prostate cancer in urine collected from biopsy-confirmed patients. Biopsy-negative controls were used to assess canine specificity as prostate cancer biodetectors. Urine samples were simultaneously analyzed for their VOC content in headspace via GC-MS and urinary microbiota content via 16S rDNA Illumina sequencing. In addition, the dogs diagnoses were used to train an ANN to detect significant peaks in the GC-MS data. The canine olfaction system was 71% sensitive and between 70-76% specific at detecting Gleason 9 prostate cancer. We have also confirmed VOC differences by GC-MS and microbiota differences by 16S rDNA sequencing between cancer positive and biopsy-negative controls. Furthermore, the trained ANN identified regions of interest in the GC-MS data, informed by the canine diagnoses. Methodology and feasibility are established to inform larger-scale studies using canine olfaction, urinary VOCs, and urinary microbiota profiling to develop machine olfaction diagnostic tools. Scalable multi-disciplinary tools may then be compared to PSA screening for earlier, non-invasive, more specific and sensitive detection of clinically aggressive prostate cancers in urine samples.

cancer biology↗

bioRxiv2020

Unilateral vocal nerve resection alters neurogenesis in the avian song system in a region-specific manner

New neurons undergo a critical period soon after migration during which the behavior of the animal may result in the survival or culling of these cells. In the songbird song system, new neurons may be maintained in the song motor pathway with respect to motor progression toward a target song--during juvenile song learning, seasonal song restructuring, and experimentally manipulated song variability. However, it is not known whether the quality of song per se, without progressive improvement, may also influence new neuron survival. To test this idea, we experimentally altered song acoustic structure by unilateral denervation of the syrinx. We found no effect of aberrant song on numbers of new neurons in the HVC of the song motor pathway, a loss of left-side dominance in new neurons in the auditory region caudomedial nidopallium (NCM), and a bilateral decrease in new neurons in the basal ganglia nucleus Area X. We propose new neuron survival may be determined in response to behavioral feedback in accordance with the function of new neurons within a given brain region. Studying the effects of singing behaviors on new neurons across multiple brain regions that subserve singing may give rise to general rules underlying the regulation of new neuron survival across taxa and brain regions more broadly.

neuroscience↗

bioRxiv2020

Notch1 regulates breast cancer stem cell function via a non-canonical cleavage-independent pathway

Current treatment of triple negative breast cancer patients is hindered by a high incidence of chemoresistance (30-50%). The prevailing theory is that resistance and subsequent recurrence is driven by cancer stem cells. Unfortunately, the functional characterization of cancer stem cells at the molecular level is still incomplete. We show here, that within the canonical breast cancer stem cell population, a subset of cells characterized by high Notch1 expression possesses the tumor-initiating property associated with cancer stem cells. Moreover, the tumor initiating property of these high Notch1-expressing breast cancer stem cells is mediated by a cleavage independent Notch signaling pathway culminating in the repression of SIRT1. Of note, the Notch1-mediated repression of SIRT1 is required not only for tumor initiation, but also for chemoresistance in breast cancer stem cells. Strikingly, inhibition of SIRT1 obviates the requirement for Notch1, marking the first example of conferring cancer stem cell function by inhibiting the activity of a single protein. We also demonstrate that progenitor-like mammary epithelial cells, which possess both luminal and basal properties, are also characterized by high Notch1 expression and repression of SIRT1 via the non-canonical pathway. These findings provide the first functional mechanistic requirements for tumor initiation by breast cancer stem cells and suggest that activation of the non-canonical Notch1 pathway is hardwired into tumor-initiating progenitor cells and thus a prerequisite for tumor initiation. Statement of SignificanceWe demonstrate that chemoresistant and tumor-initiating properties of breast cancer stem cells are driven by repression of SIRT1 via non-canonical Notch signaling, suggesting a novel therapeutic strategy for triple negative breast cancer.

cancer biology↗