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Biology subjects

Miller, G.

Publications and source records attributed to Miller, G..

At least 19 recordsLinked to original sources

TDP-43 dysfunction induces cryptic circular RNAs in ALS/FTD

Nuclear depletion of TDP-43 is a defining pathological feature of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), leading to widespread RNA misprocessing, including the formation of cryptic exons. Here, we identified TDP-43 as a regulator of circular RNA (circRNA) biogenesis in multiple human neuronal cell models, and showed that its dysfunction induces the de novo formation of cryptic circular RNAs (c-circRNAs). Analysis of post-mortem brain transcriptomic data identified a subset of c-circRNAs which are specific for ALS and FTD cases with TDP-43 pathology. Further, we developed highly sensitive rolling-circle amplification-based circRNA detection assays that allow to distinguish TDP-43 pathology in human CNS tissues with a 0.99 AUC. We found that c-circRNAs can co-occur with cryptic linear splicing events, uncovering complex RNA misprocessing hotspots that induce loss of disease-relevant proteins, including RPTOR and EHMT1. Notably, one of these c-circRNAs originates from UNC13A, a gene whose cryptic exon has previously been linked to one of the major GWAS hits in ALS/FTD and that is being pursued as a therapeutic target through splice-switching ASOs. We showed that c-circUNC13A is co-regulated with the linear cryptic transcript and suppression of UNC13A cryptic exon results in c-circUNC13A reduction in cultured neurons and in vivo, highlighting its potential as a target engagement biomarker for emerging UNC13A-directed therapies. Overall, this work identifies a novel molecular mechanism for TDP-43 dysfunction, opening novel avenues for understanding disease pathogenesis and developing much needed pathology biomarkers.

neuroscience↗

Trustworthy in silico labeling via semantic visual interpretability of image-to-image translation

Cross-modality image translation promises to provide multiple layers of biological information from a single image input, yet its practical application is stalled by a lack of interpretability and the inability to account for model imperfections. In silico labeling, the inference of organelle localization from label-free images, is a primary example where this black-box nature limits adoption. We present Mask Interpreter, a generalized method for semantic visual interpretability of image-to-image translation models. By uncovering organelle-specific "explanation signatures", Mask Interpreter validates that models rely on authentic biological structures rather than spurious artifacts. Beyond biological validation, it outperforms traditional explainable AI (xAI) approaches, identifies batch effects and localizes prediction errors when ground-truth fluorescence is unavailable. Semantic confidence modeling further provides fine-grained reliability assessment at single-cell resolution, enabling the automated exclusion of artifacts from downstream analyses. By bridging the gap between computational inference and meaningful biological features, Mask Interpreter transforms in silico labeling into a reliable tool for scientific discovery across diverse biomedical imaging modalities.

cell biology↗

A bidirectional nanAKE locus enables sialic acid catabolism in gut microbiome member Hungatella hathewayi

Sialic acids are abundant components of host- and diet-derived glycans in the human gut and serve as important nutrients that shape microbial fitness and interspecies competition. Excess free sialic acids are also linked to inflammation and pathogen susceptibility. While well-studied gut bacteria such as E. coli and Bacteroides spp. catabolize sialic acids via the NanAKE or NanLE-RokA pathways, the metabolic capacity of many microbiome members remains undefined. To identify sialic acid catabolizing bacteria, we cultured fecal samples from healthy human donors. The gut anaerobe Hungatella hathewayi was selected under sialic acid-supplemented conditions. H. hathewayi is a poorly characterized gram-positive Lachnospiraceae associated with long-lived individuals and purine metabolism. Here we establish that H. hathewayi grows robustly on sialic acids as a sole carbon source using a pathway homologous to the canonical NanAKE system of E. coli, despite the species phylogenetic distance. We functionally validated these orthologs through growth assays and heterologous complementation in E. coli knockout strains. Comparative analyses further showed that key catalytic residues in H. hathewayi NanA are conserved despite overall sequence divergence from E. coli. Additionally, we find that colocalized sialic acid transporters and regulatory proteins are not orthologous to E. coli proteins and instead are related to proteins from other gut anaerobes. Together, these findings expand our understanding of sialic acid utilization within the human gut microbiome. We identify H. hathewayi as an overlooked but capable sialic acid degrader that can contribute to modulation of gut sialic acid levels and related inflammation. ImportanceSialic acids play an important role in mammalian and microbial signalling. Excess free sialic acids increase susceptibility to gut pathogens and induce inflammation. Gut bacteria can both generate and consume free sialic acids, and these pathways are conserved across diverse bacteria. E. coli and B. fragilis consume sialic acids as a carbon source, decreasing free sialic acid levels. We identify H. hathewayi as another bacteria capable of sialic acid consumption and define the enzymes responsible. H. hathewayi is a prevalent member of the human gut microbiome, but it is not genetically tractable, limiting enzymatic characterization. H. hathewayi is enriched in the gut microbiomes of long-lived individuals and expected to be an important contributor to purine degradation to limit gout risk. Defining sialic acid catabolism in non-model species is essential to understanding the evolution and conservation of this pathway as well as how nutrient competition shapes gut microbiome composition.

microbiology↗

Heat-Triggered Dormancy Release in Low-ROS Pollen Grains Reveals a Conserved Reproductive Reserve

Pollen development and fertilization are considered the most heat-sensitive stages of plant reproduction. While heat stress severely impairs pollen germination and tube growth, the physiological diversity within a single flowers pollen load suggests that subpopulations may exhibit differential climate resilience. In this study, we tested the hypothesis that this heterogeneity reflects a dormancy-based reserve mechanism that preserves fertilization under heat stress. Using flow cytometry and fluorescence-activated cell sorting in Arabidopsis thaliana and Solanum lycopersicum (MicroTom), we resolved pollen subpopulations by reactive oxygen species (ROS) status and examined their behavior under increasing heat stress. In both species, ROS-defined metabolic state was tightly associated with pollen size: high-ROS pollen was larger and readily germination-competent, whereas low-ROS pollen was smaller and showed low basal germination, consistent with dormancy. Heat stress preferentially depleted the high-ROS fraction, whereas the low-ROS fraction persisted and, under heat stress, increased metabolic activity and size. By isolating low-ROS and high-ROS pollen, we further show that a brief heat treatment suppresses germination of active high-ROS pollen but promotes germination of dormant low-ROS pollen. These findings provide direct evidence that heat can release dormancy in low-ROS pollen and support a conserved model in which dormant pollen serves as a heat-resilient reproductive reserve.

plant biology↗

Shipwrecks can mirror predator assemblages of pelagicpinnacles but may lack the trophic balance of natural reefenvironments.

Artificial reefs are widely deployed to enhance fish populations, yet their capacity to replicate the ecological roles of natural reef systems remains uncertain, and comparisons are often limited to nearby fringing reefs. Such assessments may overlook how structural features influence ecological outcomes. This study compared fish assemblages across shipwrecks, pelagic pinnacles, and fringing reefs in the Gulf of Thailand to evaluate how artificial structures align with natural patterns of community structure and trophic composition. Natural reef sites were selected to represent contrasting structural profiles, with pinnacles characterized by high vertical relief and fringing reefs by lower-relief slopes. This design enabled assessment of whether high-relief artificial structures, such as shipwrecks, more closely reflect fish communities found on similarly structured natural reefs. Bayesian multivariate models applied to 350 underwater surveys from 14 sites showed that shipwrecks resembled pelagic pinnacles in supporting mesopredators and higher trophic level predators, but had consistently lower representation of grazers and invertivores relative to both natural reef types. These results indicate functional divergence likely driven by reduced benthic complexity and limited forage availability. While shipwrecks may support fisheries species and predator biomass, they do not fully function as ecological analogues of natural reefs. Findings highlight the importance of aligning artificial reef design with defined ecological objectives and considering structural context in management strategies across tropical reef systems worldwide.

ecology↗

Cryptic splicing in synaptic and membrane excitability genes links TDP-43 loss to neuronal dysfunction

TDP-43 pathology is a defining pathological hallmark of multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). A major feature of TDP-43 pathology is its nuclear depletion, leading to the aberrant inclusion of cryptic exons during RNA splicing. STMN2 and UNC13A have emerged as prominent TDP-43 splicing targets, but the broader impact of TDP-43-dependent cryptic splicing on neuronal function remains unclear. Here, we report new TDP-43 splicing targets critical for membrane excitability and synaptic function, including KALRN, RAP1GAP, SYT7 and KCNQ2. Using human stem cell-derived neurons, we show that TDP-43 reduction induces cryptic splicing and downregulation of these genes, resulting in impaired excitability and synaptic transmission. In postmortem brains from patients with FTD, these cryptic splicing events occur selectively in neurons with TDP-43 pathology. Importantly, suppressing individual cryptic splicing events using antisense oligonucleotides partially restores neuronal function, and combined targeting almost fully rescues the synaptic deficit caused by TDP-43 loss. Together, our findings provide evidence that cryptic splicing in these synaptic and membrane excitability genes is not only a downstream marker but instead a direct driver of neuronal dysfunction, establishing a mechanistic link between TDP-43 pathology and neurodegeneration in ALS and FTD.

neuroscience↗

Generating 3D Models of Carbohydrates with GLYCAM-Web

The carbohydrate 3D structure-prediction tools (builders) at GLYCAM-Web (glycam.org) are widely used for generating experimentally-consistent 3D structures of oligosaccharides suitable for data interpretation, hypothesis generation, simple visualization, and subsequent molecular dynamics (MD) simulation. The graphical user interface (GUI) enables users to create carbohydrate sequences (e.g. DGalpb1-4DGlcpb1-OH) that are converted to 3D models of the carbohydrate structures in multiple formats, including PDB and OFF (AMBER software format). The resulting structures are energy minimized prior to download and online visualization. There are advanced options for selecting which shapes (rotamers) of the oligosaccharide to generate, and for creating explicitly solvated structures for subsequent MD simulation. The GLYCAM-Web builders integrate known conformational preferences of oligosaccharides, summarized here, and employ the GLYCAM forcefield for energy minimization with algorithms tailored for speed and scalability. Even for large oligosaccharides (100 residues, ~2100 atoms) a 3D structure is typically returned to the user in less than a minute.

biophysics↗

Nutritional stress adaptation shapes host microbiome stability and life history dynamics

BackgroundDietary environments can shape host-microbe co-evolution by imposing selection pressures that favor host and microbial genotypes with enhanced fitness under specific nutritional conditions. However, the long-term evolutionary dynamics of these interactions after selection pressures are relaxed remain poorly understood. Here, we investigated the microbiome of Drosophila melanogaster populations that underwent long-term experimental evolution under three temporally variable nutritional regimes (constant high sugar, progressively decreasing protein, and fluctuating protein), and compared them to unselected controls. Following inbreeding of evolved populations, we examined how persistent evolutionary effects interact with aging to shape host-microbe relationships and survival. ResultsAll selected regimes exhibited reduced survival relative to controls, indicating lasting physiological costs associated with historical selection and inbreeding. Survival differed among regimes: the deteriorating-protein regime was closest to controls, the fluctuating-protein regime was intermediate, and the high-sugar regime showed the shortest lifespan. Survival effects were sex-specific: relative to control females, those from the fluctuating-protein regime exhibited reduced early-life survival, whereas females from the deteriorating-protein regime experienced greater late-life mortality. Microbiome composition varied with both selection regime and age. Although Firmicutes and Proteobacteria dominated across groups, selected lines showed increased Firmicutes and reduced Proteobacteria, especially early in life, suggesting early-life taxonomic restructuring. The decreasing-protein regime maintained more stable microbial diversity over time, whereas high-sugar and fluctuating-protein diets were associated with progressive microbiome instability with age. Core Acetobacter species (A. aceti, A. oryzifermentans) declined in abundance in selected flies, indicating persistent disruption of microbiome integrity. A random forest model predicted fly age from microbiome composition with 78.8% accuracy, reinforcing links between microbial dynamics and host aging. ConclusionHistorical dietary selection and inbreeding can leave lasting signatures on survival and microbiome composition in Drosophila. Protein restriction promoted late-life longevity and microbial stability, whereas high-sugar and fluctuating diets were associated with early-life effects followed by later-life shifts in dominant taxa. Together, these findings illustrate how nutritional history and its microbial legacies influence lifespan and aging through persistent host-microbe interactions.

evolutionary biology↗

Caspase-1 self-terminates protease activity to enforce homeostasis and prevent inflammasome-driven diseases

Signal shutdown mechanisms must exist to silence the potent inflammatory programs initiated by the caspase-1 (CASP1) protease, to allow inflammation to resolve and reinstate tissue homeostasis. It is unknown how CASP1 terminates its activity in vivo. Here, we use a knock-in mouse model in which the CASP1 CARD domain linker (CDL) is mutated to prevent self-cleavage (Casp1.CDL mice) to show that CASP1 CDL autoproteolysis terminates CASP1 activity in vivo. We examined these mice under homeostatic conditions and in response to major physiological challenges. In the brain, CASP1 CDL mutation caused anxiety-like behaviour under homeostatic conditions, and exacerbated hippocampal spatial learning deficits in the APP23 genetic model of amyloid-induced neurodegeneration. In the bone marrow, CASP1 CDL mutation promoted steady-state granulopoiesis. In a model of diet-induced liver disease, CASP1 CDL mutation accelerated liver steatosis and promoted liver immune cell infiltration, inflammation and damage. In a liver healing model, CASP1 CDL mutation delayed disease resolution, indicating that CASP1 autocleavage is required to restore homeostasis after a major challenge to organ function. Our data reveal that CASP1 CDL self-cleavage terminates CASP1 inflammatory programs in vivo to maintain homeostasis in steady-state, restore homeostasis after a major challenge to organ function, and suppress inflammasome-driven diseases. These data identify CASP1 as a prime anti-inflammatory drug target, as CASP1 inhibitors may enforce homeostasis and prevent inflammasome-driven diseases.

immunology↗

Sir John Murray's H.M.S. Challenger Sedimentary Deposits Collection at the Natural History Museum, London

The Natural History Museum holds 4,718 bottles, tubes, boxes, and slides containing sediment and derived preparations from 80% of the 504 listed marine collecting localities of H.M.S. Challenger (1873-1876). The sediment collections include manganese nodules, pumice, and various marine vertebrates and invertebrates, predominantly the Foraminifera from all the major oceans of the world. A complete online database of the collection is presented for the first time to include all of the associated collecting and preparation data from the oceanic dredges, trawls, soundings and anchor mud collections alongside a set of previously undocumented shallower water collections that were not included in the Challenger Deep Sea Deposits Report of Murray and Renard (1891). The dataset allows assessment of various other Challenger sediment derived collections dispersed worldwide in museums and private collections. A historical account of the collection follows; collecting and studying onboard, studying in Edinburgh post cruise, donation by Sir John Murrays family to the British Museum (Natural History) and accounts of the collections historical housing at the museum. The historical context and presented dataset are intended to aid future users of the collection to select suitable materials for study or display. A review of previous scientific and exhibition uses of the collection is followed by suggestions for the future in terms of storage and potential for illuminating the debate on anthropologically driven climate, biodiversity and atmospheric changes.

paleontology↗

Perisurgical Colony Stimulating Factor 1 (CSF1) treatment ameliorates liver 1 ischaemia/reperfusion injury in rats

BackgroundIn the context of hepatobiliary and liver transplant surgery, ischemia-reperfusion (I/R) injury can occur due to temporary interruption of blood flow to the organ followed by a potentially damaging inflammatory response to reperfusion. As macrophages can promote liver growth and contribute to resolution of chronic liver injury and fibrosis, we tested the hypothesis that stimulation of monocytes and macrophages with Colony Stimulating Factor 1 (CSF1) could have a beneficial impact on liver repair after I/R injury. MethodsWe investigated the impact of perisurgical treatment with a long-circulating CSF1-Fc conjugate on liver injury and hepatocyte proliferation after 70% ischemia for 60 minutes at 6 h, 48 h and 7 days post reperfusion in male rats. Changes in the circulating and liver tissue monocyte and macrophage subsets in the ischaemic and oxygenated lobes were assessed using quantitative PCR and flow cytometry. ResultsCSF1-Fc treatment did not affect the extent of hepatocellular injury post-reperfusion, as indicated by serum transaminases. Liver I/R injury, especially necrotic area, was reduced in CSF1-Fc-treated rats 48 h post-surgery. This was associated with increased accumulation of macrophages in both the oxygenated and ischemic lobes, and localization to necrotic tissue in the ischemic lobe. CSF1-Fc treatment also promoted liver growth, associated with increased parenchymal and non-parenchymal cell proliferation. Flow cytometry and gene expression analysis demonstrated increased monocyte infiltration in ischemic compared to oxygenated lobes. CSF1-Fc increased the abundance of CD43+ non-classical monocytes, consistent with the role of CSF1 signaling in monocyte maturation, and increased CD163 expression on mature macrophages. ConclusionThis study suggests CSF1 stimulation drives monocytes/macrophages towards a pro-regenerative response and perisurgical CSF1 treatment might augment liver regeneration in patients undergoing liver resection. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/642926v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@181eb0borg.highwire.dtl.DTLVardef@6e3370org.highwire.dtl.DTLVardef@f32022org.highwire.dtl.DTLVardef@1c2c1b3_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Proteomics-based models of gene expression and cellular control of cotton fiber development

The shapes and material properties of cotton seed coat trichoblasts are the basis of a multibillion-dollar natural fiber industry. As such, these highly specialized cells are low-hanging fruit for intentional trait engineering. However, broad successes will require more mechanistic knowledge about their systems-level cellular controls. This time-series study integrates daily measurements of purified fiber transcriptomes and proteomes with multiscale fiber phenotyping datasets that span the same developmental interval. Abundance profiles of the subcellular proteomes are the foundation of the analyses. This resource article provides direct information concerning which homoeologs operate and informative depictions of how compartmentalized cellular systems change during developmental transitions. Prediction accuracy was partially validated by analysis of the protein expression group 11, which contained multiple known secondary cell wall cellulose synthases and dozens of unknown proteins and an averaged profile that was strongly correlated with a sharp state transition in cellulose microfibril alignment and increased cellulose content. The dataset as a whole can serve as a hypothesis-generating machine to guide future experiments that relate to cell shape and growth rate control, reversible tissue formation, and cell wall remodeling. Integration of mRNA and protein abundance revealed widespread evidence for post-transcriptional control. In addition, there were hundreds of transcriptionally controlled genes with differing timepoints of transition. This latter gene set can be used to more reliably analyze transcriptional control networks and to generate collections of gene expression drivers for cotton fiber research. The protein and transcript data are organized into user-friendly tables and a web interface that can be searched using any plant ortholog of interest based on developmental time, abundance, annotations, or phenotypic association.

plant biology↗

Cellular behavior analysis from live-cell imaging of TCR T cell-cancer cell interactions

T cell therapies, such as chimeric antigen receptor (CAR) T cells and T cell receptor (TCR) T cells, are a growing class of anti-cancer treatments. However, expansion to novel indications and beyond last-line treatment requires engineering cells dynamic population behaviors. Here we develop the tools for cellular behavior analysis of T cells from live-cell imaging, a common and inexpensive experimental setup used to evaluate engineered T cells. We first develop a state-of-the-art segmentation and tracking pipeline, Caliban, based on human-in-the-loop deep learning. We then build the Occident pipeline to collect a catalog of phenotypes that characterize cell populations, morphology, movement, and interactions in co-cultures of modified T cells and antigen-presenting tumor cells. We use Caliban and Occident to interrogate how interactions between T cells and cancer cells differ when beneficial knock-outs of RASA2 and CUL5 are introduced into TCR T cells. We apply spatiotemporal models to quantify T cell recruitment and proliferation after interactions with cancer cells. We discover that, compared to a safe harbor knockout control, RASA2 knockout T cells have longer interaction times with cancer cells leading to greater T cell activation and killing efficacy, while CUL5 knockout T cells have increased proliferation rates leading to greater numbers of T cells for hunting. Together, segmentation and tracking from Caliban and phenotype quantification from Occident enable cellular behavior analysis to better engineer T cell therapies for improved cancer treatment.

cell biology↗

Enzymatic access to the rare ΔUA (1->4) Glc 3, 6, N-sulfated heparin disaccharide, implications for heparin quality control

The sulfated glycosaminoglycan heparin is the most commonly used pharmaceutical anticoagulant worldwide. Heparin, which is extracted primarily from porcine sources, has a complex heterogeneous structure, resulting in a highly variable pharmaceutical product susceptible to contamination. As a by-product of the food industry, heparin is also limited by production capacity, giving rise to concerns that demand will outstrip supply. The anticoagulant activity of heparin derives principally from the AGA*IA pentasaccharide sequence, containing a rare 3-O-sulfated glucosamine, which binds and activates antithrombin. Analytical heparin digestion by the widely used Pedobacter heparinus lyases has limited activity in regions of 3-O-sulfation, rendering these enzymes poorly suited to study anticoagulant sequences. Here, we provide structural and functional characterization of a Bacteroides eggerthii lyase that exhibits highly efficient heparin depolymerization, with specificity distinct to P. heparinus. Using a panel of biophysical and structural techniques, we demonstrate that B. eggerthii lyase effectively liberates the rare GA* disaccharide, a key indicator of anticoagulant potential, from the defined heparin pentasaccharide fondaparinux. We envision superior cleavage by B. eggerthii lyases will enable the future quantitative, direct detection of anticoagulant relevant 3-O-sulfated sequences, delivering complementary structural information to existing analytical methods, with clear utility for pharmaceutical quality control workflows.

biochemistry↗

MU-BRAIN: MUltiethnic Brain Rna-seq for Alzheimer INitiative

Alzheimers Disease (AD) exhibits a complex molecular and phenotypic profile. Investigating gene expression plays a crucial role in unraveling the diseases etiology and progression. Transcriptome data across ethnic groups lack, negatively impacting equity in intervention and research. We employed 565 brains across six U.S. brain banks (n=399 non-Hispanic Whites, n=113 Hispanics, n=12 African Americans) to generated bulk RNA sequencing from prefrontal cortex. We sought to identify cross-ancestry and ancestry-specific differentially expressed genes (DEG) across Braak stages, adjusting for sex, age at death, and RNA quality metrics. We further validated our findings using the Religious Orders Study/Memory Aging Project brains (ROS/MAP; n=1,095) and performed metanalysis (n=1,660). We conducted Gene Set and Variation and Enrichment analysis (GSVA; GSEA). We employed a machine-learning approach for phenotype prediction and gene prioritization to construct a polytranscriptomics risk score (PTRS) splitting our sample into training and testing sub-samples, either randomly or by ethnicity ("ancestry-agnostic" and "ancestry-aware", respectively). Lastly, we validated top DEG using single-nucleus RNA sequencing (snRNAseq) data. We identified several DEG associated with Braak staging: AD-known genes VGF (Padj =3.78E- 07) and ADAMTS2 (Pad j=1.21E-04) were consistently differentially expressed across statistical models, ethnicities, and replicated in ROS/MAP. Genes from the heat shock protein (HSP) family, e.g. HSPB7 (Padj =3.78E-07), were the top differentially expressed genes and replicated in ROS/MAP. Ethnic-stratified analyses prioritized TNFSF14 and SPOCD1 as top Hispanics DEG. GSEA highlighted "Alzheimer disease" (Padj =4.24E-06) and "TYROBP causal network in microglia" (Padj =1.68E-08) pathways. Up- and down-regulated genes were enriched in several pathways (e.g. "Immune response activation signal pathways", "Vesicle-mediated transport in synapse", "cognition"). Ancestry-agnostic and ancestry-aware PTRS effectively classified brains (AUC=0.77 and 0.73 respectively) and replicated in ROS/MAP. snRNAseq validated prioritized genes, including VGF (downregulated in neurons; Padj=1.1 E-07). This is the largest diverse AD transcriptome in post-mortem brain tissue, to our knowledge. We identified perturbated genes, pathways and network expressions in AD brains resulting in cross- ethnic and ethnic-specific findings, ultimately highlighting the diversity within AD pathogenesis. The latter underscores the need for an integrative and personalized approach in AD studies.

genetics↗

Biotin rescues manganese-induced Parkinson's disease phenotypes and neurotoxicity

Occupational exposure to manganese (Mn) induces manganism and has been widely linked as a contributing environmental factor to Parkinsons disease (PD), featuring dramatic signature overlaps between the two in motor symptoms and clinical hallmarks. However, the molecular mechanism underlying such link remains elusive, and for combating PD, effective mechanism-based therapies are lacking. Here, we developed an adult Drosophila model of Mn toxicity to recapitulate key parkinsonian features, spanning behavioral deficits, neuronal loss, and dysfunctions in lysosome and mitochondria. We performed global metabolomics on flies at an early stage of toxicity and identified metabolism of the B vitamin, biotin (vitamin B7), as a master pathway underpinning Mn toxicity with systemic, body-brain increases in Mn-treated groups compared to the controls. Using BtndRNAi mutant flies, we show that biotin depletion exacerbates Mn-induced neurotoxicity, parkinsonism, and mitochondrial dysfunction; while in Mn-exposed wild-type flies, biotin feeding dramatically ameliorates these pathophenotypes. We further show in human induced stem cells (iPSCs)- differentiated midbrain dopaminergic neurons that the supplemented biotin protects against Mn-induced neuronal loss, cytotoxicity, and mitochondrial dysregulation. Finally, human data profiling biotin-related proteins show for PD cases elevated circulating levels of biotin transporters but not of metabolic enzymes compared to healthy controls, suggesting humoral biotin transport as a key event involved in PD. Taken together, our findings identified compensatory biotin pathway as a convergent, systemic driver of Mn toxicity and parkinsonian pathology, providing new basis for devising effective countermeasures against manganism and PD. Significance StatementEnvironmental exposure to manganese (Mn) may increase the risk for Parkinsons disease (PD); however, the mechanistic basis linking the two remains unclear. Our adult fruit fly (Drosophila) model of Mn toxicity recapitulated key Parkinsons hallmarks in vivo spanning behavioral deficits, neuronal loss, and mitochondrial dysfunction. Metabolomics identified the biotin (vitamin B7) pathway as a key mediator, featuring systemic biotin increases in the flies. Rescue trials leveraging biotin-deficient flies, wild-type flies, and human iPSC-derived dopaminergic neurons determined biotin as a driver of manganism, with the parkinsonian phenotypes dramatically reversed through biotin supplementation. Our findings, in line with overexpressed circulating biotin transporters observed in PD patients, suggest compensatory biotin pathway as a key to untangle the Mn-PD link for combating neurodegenerative disease.

neuroscience↗

iPSC-Astrocyte morphology reflects patient clinical markers

Human iPSCs provide powerful cellular models of Alzheimers disease (AD) and offer many advantages over non-human models, including the potential to reflect variation in individual-specific pathophysiology and clinical symptoms Previous studies have demonstrated that iPSC-neurons from individuals with Alzheimers disease (AD) reflect clinical markers, including {beta}-amyloid (A{beta}) levels and synaptic vulnerability. However, despite neuronal loss being a key hallmark of AD pathology, many risk genes are predominantly expressed in glia, highlighting them as potential therapeutic targets. In this work iPSC-derived astrocytes were generated from a cohort of individuals with high versus low levels of the inflammatory marker YKL-40, in their cerebrospinal fluid (CSF). iPSC-derived astrocytes were treated with exogenous A{beta} oligomers and high content imaging demonstrated a correlation between astrocytes that underwent the greatest morphology change from patients with low levels of CSF-YKL-40 and more protective APOE genotypes. This finding was subsequently verified using similarity learning as an unbiased approach. This study shows that iPSC-derived astrocytes from AD patients reflect key aspects of the pathophysiological phenotype of those same patients, thereby offering a novel means of modelling AD, stratifying AD patients and conducting therapeutic screens. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/548687v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1df3486org.highwire.dtl.DTLVardef@f184d8org.highwire.dtl.DTLVardef@48a33dorg.highwire.dtl.DTLVardef@d53a90_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Markers of Fungal Translocation Are Elevated During Post-Acute Sequelae of SARS-CoV-2 Infection and Induce NF-κB Triggered Inflammation.

Long COVID, a type of Post-Acute Sequelae of SARS CoV-2 infection (PASC), has been associated with sustained elevated levels of immune activation and inflammation. However, the pathophysiological mechanisms that drive this inflammation remain unknown. Inflammation during acute Coronavirus Disease 2019 (COVID-19) could be exacerbated by microbial translocation (from the gut and/or lung) to the blood. Whether microbial translocation contributes to inflammation during PASC is unknown. We found higher levels of fungal translocation - measured as {beta}-glucan, a fungal cell wall polysaccharide - in the plasma of individuals experiencing PASC compared to those without PASC or SARS-CoV-2 negative controls. The higher {beta}-glucan correlated with higher levels of markers of inflammation and elevated levels of host metabolites involved in activating N-Methyl-D-aspartate receptors (such as metabolites within the tryptophan catabolism pathway) with established neuro-toxic properties. Mechanistically, {beta}-glucan can directly induce inflammation by binding to myeloid cells (via the Dectin-1 receptor) and activating Syk/NF-{kappa}B signaling. Using an in vitro Dectin-1/NF-{kappa}B reporter model, we found that plasma from individuals experiencing PASC induced higher NF-{kappa}B signaling compared to plasma from SARS-CoV-2 negative controls. This higher NF-{kappa}B signaling was abrogated by the Syk inhibitor Piceatannol. These data suggest a potential targetable mechanism linking fungal translocation and inflammation during PASC.

microbiology↗