Biology subjects

Cole, M.

Publications and source records attributed to Cole, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Dietary sugar type determines the response to protein restriction in females, but not males

Low protein (LP) diets improve metabolic health in rodents and humans. In rodents, LP diets are typically implemented by replacing protein with carbohydrates like sucrose or cornstarch, keeping diets isocaloric. However, humans can choose from many different types of carbohydrate, and how dietary carbohydrate quality - the precise composition of the dietary sugars - impacts the response to dietary protein remains largely unexplored. Here, mice were fed control (21% protein) or LP (7% protein) diets with four different carbohydrate sources: sucrose, a 1:1 glucose/fructose mixture, glucose, or fructose. While LP diets improved metabolic health across all groups in male mice, carbohydrate quality also significantly altered specific health outcomes, with fructose-fed mice having the lowest body weight and adiposity of all control diets. In female mice, responses to LP diets were influenced by carbohydrate quality, with certain sugars inducing a stronger metabolic response to LP diets than previously seen. Finally, in female APP/PS1 mice, a model of Alzheimer's disease, we find that although LP diets reduce A-beta; plaque burden irrespective of carbohydrate type, dietary sugar type does influence spatial memory. Together, these results demonstrate that while dietary protein is a critical determinant of metabolic and neurological health, carbohydrate quality influences these outcomes in a sex-specific manner.

physiology↗

bioRxiv2026

Toward Large-Scale Numerical Modeling of the Cardiovascular System with up to 34 Billion Vessels

Cardiovascular diseases, such as stroke and heart attacks, are the leading cause of death worldwide. Computational models like cardiovascular digital twins (CVDTs) offer a promising path for research and intervention but are challenged by the complexity of simulating the full human vasculature. This study evaluates the feasibility of simulating blood flow through a vascular network containing 34 billion vessels (the estimated number in the human body) using first-principles physics and simplified geometry which is a first step towards CVDT. We synthesized 3D vasculature using a fractal model and computed blood flow rates via Poiseuille equation and steady-state fluid dynamics, implemented with high-performance computing. Simulations were conducted for networks ranging from 6 vessels to 34 billion vessels. The results demonstrated high accuracy (within 1% of bench-marks), reproducibility across platforms, and strong scalability. Simulating the full vasculature required 156 node-hours on the second-fastest supercomputer in the world, using 29 TB of memory and 84 TFLOPS. Maximum speedup factor was 80, with parallel efficiency no lower than 0.48. These findings show it is computationally feasible to simulate blood flow through a full-body vascular network at scale. The approach is well suited to parallel computing, suggesting that with continued development, CVDTs could enable whole-organism modeling for applications such as stroke, trauma, radiation injury, and cancer metastasis.

bioinformatics↗

bioRxiv2026

Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts

Large-scale population analyses of structural connectome organization remain challenging because of cross-subject alignment, pathway interpretability and computational burden. No widely adopted standard exists for systematic evaluation across processing methods. We developed connectome-based spatial statistics (CBSS), a scalable framework for anatomically aligned and functionally informed quantification of white-matter microstructure that yields atlas-defined pathways organized into 13 functional networks. Using data from 56,510 UK Biobank participants together with five independent lifespan cohorts, we evaluated the streamline-, voxel- and network-level measures in the aspects of reliability, heritability, structure-function coupling, cognitive and behavioral prediction, brain aging patterns and lifespan trajectories across cohorts. The systematic evaluation workflow compares population-level white-matter representations across methods, spatial scales, tasks and datasets. The results support CBSS as a common connectome reference for large-scale, cross-cohort diffusion MRI studies.

neuroscience↗

bioRxiv2026

The 3D Ultrastructure of C. elegans Gut Granules

We identify an endoderm-restricted organelle in published volume electron microscopy datasets of C. elegans embryos. The organelle consists of a tubular ring surrounding a membrane-bound compartment harboring a prominent dense particle and exhibits a basal polarity and size concordant with canonical gut granules. This finding offers ultrastructural detail to recent evidence that gut granules are bi-lobed organelles with two distinct compartments.

cell biology↗

bioRxiv2025

Life history and infection susceptibility parameters of Drosophila species reared on a common diet

The fruit fly Drosophila is a powerful model organism for many biological questions. While Drosophila melanogaster has been the most widely used species owing to its versatile genetic tools, comparative studies also take advantage of the rich evolutionary, ecological, and behavioural diversity of Drosophilidae. This model system has only benefitted from the sequencing of hundreds of genomes assembled to chromosome level, and rich array of publicly-available datasets. However, labs that typically use just D. melanogaster can have difficulties adopting other species into their experiments due to unique dietary needs and care regimens. While dedicated research groups can rear dozens of fly species, this often requires preparing a variety of food media, which can be logistically taxing. In this study, we report an agar food recipe that we have used to rear >70 species of Drosophilidae (Prop recipe). This list includes ecological specialists such as D. sechellia, major pest species including D. suzukii, cactophiles, slime flux feeders, detritivores, and even mushroom-feeding species of the Quinaria and Testacea groups. This food recipe uses only standard powdered ingredients and molasses, and is already in use by one commercial transgenic injection provider. We provide life history parameters for dozens of species reared on this recipe, including comparisons in a subset of species across a variety of diets, finding fly fitness to be comparable or better on the Prop recipe among tested species. We further provide comparative data for 42 species after systemic infection by Acetobacter bacteria. However, unexpectedly, we found a striking interaction of diet and the microbiota that impacts susceptibility to infection in species-specific fashion. Our results suggest certain experiment types may be impacted by diet due to the microbiome that the diet itself supports. By providing rearing advice, life history parameters, and this infection dataset and experience, we hope to enable researchers to take advantage of the diversity of Drosophila as a model system for evolutionary research.

evolutionary biology↗

bioRxiv2025

Mouse Models Uniformly Featuring Human-like Lesions Harboring Drug-tolerant Mycobacterium tuberculosis

Mouse models have been key to studies of tuberculosis pathogenesis and drug efficacy, but many, such as those employing BALB/c mice, fail to reproduce the full range of heterogenous microniches observed in well-structured human lesions, which feature hypoxic caseous cores of necrotic debris surrounded by infected foamy macrophages. The granuloma presents a variety of environments differing in levels of oxygen, ions, nutrients, and intra versus extracellular residence, which determine the physiological state of the infecting bacillus and its susceptibility to immune or drug control. Recently, alternative mouse strains such as C3HeB/FeJ have allowed the study of infection and treatment in the context of these varied environments but exhibit substantial inconsistency in development of human-like lesions, both within and between individual mice. Building on the observation that inducible nitric oxide synthase (Nos2)-deficient mice consistently develop hypoxic necrotic lesions, we have established two simplified models with infection by the aerosol route. The first uses the slightly attenuated M. tuberculosis R1Rv strain, which produces a progressive infection that is contained at a high stable burden by an adaptive immune response. In the second model, vaccination with the attenuated {Delta}RD1, pantothenate auxotroph mc2 6230 protects from an otherwise lethal infection with virulent M. tuberculosis Erdman. This model reflects most contemporary tuberculosis infections, which take place in the context of a pre-existing immune response from vaccination. Both variations uniformly develop well-structured hypoxic necrotic lesions harboring drug tolerant bacteria. These refined models will be useful in studies of M. tuberculosis infection and treatment.

microbiology↗

bioRxiv2024

Acarbose ameliorates Western diet-induced metabolic and cognitive impairments in the 3xTg mouse model of Alzheimer's disease

Age is the greatest risk factor for Alzheimers disease (AD) as well as for other disorders that increase the risk of AD such as diabetes and obesity. There is growing interest in determining if interventions that promote metabolic health can prevent or delay AD. Acarbose is an anti-diabetic drug that not only improves glucose homeostasis, but also extends the lifespan of wild-type mice. Here, we test the hypothesis that acarbose will not only preserve metabolic health, but also slow or prevent AD pathology and cognitive deficits in 3xTg mice, a model of AD, fed either a Control diet or a high-fat, high-sucrose Western diet (WD). We find that acarbose decreases the body weight and adiposity of WD-fed 3xTg mice, increasing energy expenditure while also stimulating food consumption, and improves glycemic control. Both male and female WD-fed 3xTg mice have worsened cognitive deficits than Control-fed mice, and these deficits are ameliorated by acarbose treatment. Molecular and histological analysis of tau and amyloid pathology identified sex-specific effects of acarbose which are uncoupled from the dramatic improvements in cognition, suggesting that the benefits of acarbose on AD are largely driven by improved metabolic health. In conclusion, our results suggest that acarbose may be a promising intervention to prevent, delay, or even treat AD, especially in individuals consuming a Western diet.

physiology↗

bioRxiv2024

Spatial proteomic analysis of a lung cancer model reveals regulatory T cells attenuate KRAS-G12C inhibitor-induced immune responses

We recently showed that lung tumor specific KRAS-G12C inhibition causes remodelling of the tumor immune microenvironment from cold to hot. As a result, KRAS-G12C inhibition is able to synergise with anti-PD-1 treatment, but only in tumor models that were already moderately responsive to immune checkpoint blockade at baseline. To investigate mechanisms that restrain immunotherapy sensitivity in non-responsive tumors, we used multiplex imaging mass cytometry to explore spatial patterns in the tumor microenvironment of the highly immune evasive KRAS mutant murine Lewis Lung Cancer model. Clustering of close neighbour information per cell allowed characterisation of spatial patterns or communities in the tissue. We identified a community harbouring features of localised T-cell activation, where CD4+ and CD8+ T cells and dendritic cells were gathered together. KRAS-G12C inhibition led to increased expression of PD-1 on T cells, CXCL9 expression by dendritic cells, together with increased proliferation and potential cytotoxicity of CD8+ T cells, indicating an effector response. However, we also observed a high incidence of regulatory T cells (Tregs) within this community, which had frequent contact with effector T cells, suggesting that Tregs may be able to dampen anti-tumoral immune responses following KRAS-G12C inhibition. Similar communities were detected in human lung adenocarcinoma clinical samples. Depleting Tregs in vivo with anti-CTLA-4 antibody rescued the anti-tumor immune response and led to enhanced tumor control in combination with anti-PD-1 and KRAS-G12C inhibitor. We therefore propose use of KRAS-G12C inhibitor in combination with Treg depletion as a therapeutic opportunity that increases anti-tumoral immune responses and initiates tumor regression. One sentence summarySpatial analysis identified regulatory T cells as potential source of local T cell repression, mediating resistance to KRAS-G12Ci and anti-PD1 therapy.

cancer biology↗

bioRxiv2024

Purine and pyrimidine synthesis differently affect the strength of the inoculum effect for aminoglycoside and B-lactam antibiotics.

The inoculum effect has been observed for nearly all antibiotics and bacterial species. However, explanations accounting for its occurrence and strength are lacking. We previously found that growth productivity, which captures the relationship between [ATP] and growth, can account for the strength of the inoculum effect for bactericidal antibiotics. However, the molecular pathway(s) underlying this relationship, and therefore determining the inoculum effect, remain undiscovered. We show that nucleotide synthesis can determine the relationship between [ATP] and growth, and thus the strength of inoculum effect in an antibiotic class-dependent manner. Specifically, and separate from activity through the tricarboxylic acid cycle, we find that transcriptional activity of genes involved in purine and pyrimidine synthesis can predict the strength of the inoculum effect for {beta}-lactam and aminoglycosides antibiotics, respectively. Our work highlights the antibiotic class-specific effect of purine and pyrimidine synthesis on the severity of the inoculum effect and paves the way for intervention strategies to reduce the inoculum effect in the clinic.

microbiology↗

bioRxiv2023

Precision data-driven modeling of cortical dynamics reveals idiosyncratic mechanisms of canonical oscillations

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and is a strong marker of individual differences. In this work, we present an algorithmic optimization framework that makes it possible to directly invert and parameterize brain-wide dynamical-systems models involving hundreds of interacting brain areas, from single-subject time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions. We extensively validate the models performance in forecasting future brain activity and predicting individual variability in key M/EEG markers. Lastly, we demonstrate the power of our technique in resolving individual differences in the generation of alpha and beta-frequency oscillations. We characterize subjects based upon model attractor topology and a dynamical-systems mechanism by which these topologies generate individual variation in the expression of alpha vs. beta rhythms. We trace these phenomena back to global variation in excitation-inhibition balance, highlighting the explanatory power of our framework in generating mechanistic insights.

neuroscience↗

bioRxiv2023

The impact of multiband and in-plane acceleration on white matter microstructure analysis

Accelerated imaging has been broadly adopted in diffusion MRI studies, yet little is known about its impacts. Acceleration can achieve higher spatial and q-space resolution in shorter time, reduce motion artifacts, and reduce patient burden. However, it leads to noise amplification, and its impacts in clinical cohorts are poorly understood. This study examined the impact of multiband (also called simultaneous multislice, or SMS) and in-plane acceleration (IPA, also called phase acceleration) in diffusion imaging in forty older adults differing in cognitive status. We evaluated a total of 400 scans from five acquisitions: no acceleration (S1P1); SMS=3 with no in-plane acceleration (S3P1); SMS=3 with IPA=2 (S3P2); S6P1; and S6P2. The number of diffusion directions and b-values was kept constant such that acquisition times varied from 21:28 to 3:56. We found that diffusion metrics were highly sensitive to acceleration factor, with a trend towards higher fractional anisotropy (FA) and lower orientation dispersion (OD) with acceleration. The differences between accelerated and unaccelerated acquisitions could be partly explained by the noise amplification (g-factor) and reduced motion. Intraclass correlations (ICCs) of FA and OD in white matter were excellent in both S1P1 and S3P1 (median >0.8), good but lower in S3P2 and S6P1 (medians around 0.70), and poor to fair in S6P2 (medians 0.46 and 0.57). In-plane acceleration decreased ICC, including areas of high susceptibility distortion. In a comparison of mild cognitive impairment versus healthy controls, acceleration tended to reduce group differences, particularly in the fornix, with greater costs in OD than FA. Our results provide guidance regarding the costs of acceleration (possible biases and reduced effect sizes) while also characterizing the benefits (reduced motion, good reliability at higher multiband with no in-plane).

bioengineering↗

bioRxiv2023

Potential selection and maintenance of manure-originated multi-drug resistant plasmids at sub-clinical antibiotic concentrations

The goal of this study was to determine minimum selection concentrations of various antibiotics using four manure-originated multi-drug resistant plasmids in a surrogate Escherichia coli host. These plasmids carried genes conferring resistance phenotypes to several antibiotic classes including {beta}-lactams, lincosamides, phenicols, macrolides, sulfonamides and tetracyclines. The minimum selection concentrations of antibiotics tested in nutrient-rich medium were determined: 14.1-28.2 mg/L for penicillin G, 0.1 mg/L for oxytetracycline, 0.45 mg/L for chlortetracycline, 2 mg/L for lincomycin, 1 mg/L for florfenicol, 1.3-4 mg/L for azithromycin, 0.13-0.25 mg/L for tetracycline, 0.004-0.01 mg/L for cefotaxime. Penicillin G, oxytetracycline, chlortetracycline, lincomycin and florfenicol had minimum selection concentrations in nutrient-defined medium slightly changed within 3.5-fold range compared to those in nutrient-rich medium. The minimum selection concentrations of antibiotics interfering folic acid synthesis in bacteria were also determined: 63 mg/L for sulfamethoxazole, 11.2 mg/L for sulfisoxazole and 0.06 mg/L for trimethoprim. Mixing two antibiotics changed minimum selection concentrations within 3.7-fold range compared to those in single antibiotic tests. Relatively high plasmid loss rates (> 90%) were observed when culturing plasmid-bearing strains in antibiotic-free nutrient-rich and nutrient-defined media. Overall results suggested that these plasmids can be maintained at concentrations environmentally relevant in waste water treatment plants, sewage, manure and manured soil although they are not stable in antibiotic-free environments. IMPORTANCEAntibiotic resistance crisis is a grave concern in healthcare systems around the world. To combat this crisis, we sought to find out how likely manure-originated multi-drug resistant plasmids are to be selected and maintained in different environment matrices. Our study showed that these plasmids conferring resistance to {beta}-lactams, lincosamides, phenicols, macrolides, sulfonamides and tetracyclines can be selected at minimum selection concentrations which are lower than minimum inhibition concentrations of the E. coli host strain. Lincomycin, oxytetracycline, chlortetracycline, tetracycline, chloramphenicol, trimethoprim had minimum selection concentrations lower than the antibiotic concentrations in several environment matrices reported previously. Our findings suggest that despite the burden and the high rate of plasmid loss, these plasmids can still be selected, maintained and circulated well in some polluted environments.

microbiology↗

bioRxiv2021

Therapeutic KRASG12C inhibition drives effective interferon-mediated anti-tumour immunity in immunogenic lung cancers

Recently developed KRASG12C inhibitory drugs are beneficial to lung cancer patients harbouring KRASG12C mutations, but drug resistance frequently develops. Due to the immunosuppressive nature of the signaling network controlled by oncogenic KRAS, these drugs can indirectly affect anti-tumour immunity, providing a rationale for their combination with immune checkpoint blockade. In this study, we have characterised how KRASG12C inhibition reverses immune suppression driven by oncogenic KRAS in a number of pre-clinical lung cancer models with varying levels of immunogenicity. Mechanistically, KRASG12C inhibition upregulates interferon signaling via Myc inhibition, leading to reduced tumour infiltration by immunosuppressive cells, enhanced infiltration and activation of cytotoxic T cells, and increased antigen presentation. However, the combination of KRASG12C inhibitors with immune checkpoint blockade only provides synergistic benefit in the most immunogenic tumour model. KRASG12C inhibition fails to sensitize cold tumours to immunotherapy, with implications for the design of clinical trials combining KRASG12C inhibitors with anti-PD1 drugs. One sentence summaryKRAS inhibition mobilizes anti-tumour immunity in immunogenic lung cancer models through derepressing interferon signaling via repression of Myc.

cancer biology↗

bioRxiv2021

The time to peak blood bicarbonate (HCO3-), pH, and strong ion difference (SID) following sodium bicarbonate (NaHCO3) ingestion in highly trained adolescent swimmers

BackgroundContemporary research suggests that the optimal timing of sodium bicarbonate (NaHCO3) should be based upon an individual time in which bicarbonate (HCO3-) or pH peaks within the blood. However, the mechanisms surrounding acidosis on exercise performance are contested, therefore it is plausible that the ergogenic effects of NaHCO3 are instead a result of an increased strong ion difference (SID) following ingestion. Since the post-ingestion time course of the SID is currently unknown, the purpose of this study was to investigate the pharmacokinetics of the SID in direct comparison to HCO3- and pH. MethodsTwelve highly trained, adolescent swimmers (age: 15.9 {+/-} 1.0 yrs, body mass: 65.3 {+/-} 9.6 kg) consumed their typical pre-competition nutrition before ingesting 0.3 g{middle dot}kg BM-1 NaHCO3 in gelatine capsules. Capillary blood samples were then taken during quiet, seated rest on nine occasions (0, 60, 75, 90, 105, 120, 135, 150, and 165 min post-ingestion) for the assessment of time course changes in HCO3-, pH, and the SID. ResultsOn a group mean level, no differences were found in the time in which each variable peaked within the blood (HCO3- = 130 {+/-} 35 min, pH = 120 {+/-} 38 min, SID = 96 {+/-} 35 min; p = 0.06). A large effect size was calculated between the timing of peak HCO3- and the SID (g = 0.91), however, suggesting that a difference may occur between these two measures in practice. ConclusionsA time difference between peak HCO3- and the SID presents an interesting avenue for further research since an approach based upon individual increases in extracellular SID has yet to be investigated. Future studies should therefore compare these dosing strategies directly to elucidate whether either one is more ergogenic for exercise performance.

physiology↗

bioRxiv2021

Characterisation of tumour immune microenvironment remodelling following oncogene inhibition in preclinical studies using an optimised imaging mass cytometry workflow

Mouse models are critical in pre-clinical studies of cancer therapy, allowing dissection of mechanisms through chemical and genetic manipulations that are not feasible in the clinical setting. In studies of the tumour microenvironment (TME), multiplexed imaging methods can provide a rich source of information. However, the application of such technologies in mouse tissues is still in its infancy. Here we present a workflow for studying the TME using imaging mass cytometry with a panel of 27 antibodies on frozen mouse tissues. We optimise and validate image segmentation strategies and automate the process in a Nextflow-based pipeline (imcyto) that is scalable and portable, allowing for parallelised segmentation of large multi-image datasets. With these methods we interrogate the remodelling of the TME induced by a KRAS G12C inhibitor in an immune competent mouse orthotopic lung cancer model, highlighting the infiltration and activation of antigen presenting cells and effector cells.

cancer biology↗

bioRxiv2021

Inhalable textile microplastic fibers impair airway epithelial growth

Synthetic textiles shed fibers that accumulate indoors and this results in continuous exposure when indoors. High exposure to microplastic fibers in nylon flock workers has been linked to the development of airway and interstitial lung disease, but the exact health effects of microplastic fibers on the lungs are unknown. Here we determined effects of polyester and nylon textile microplastic fibers on airway and alveolar epithelial cells using human and murine lung organoids. We observed that particularly nylon microfibers had a negative impact on the growth and development of airway organoids. We demonstrated that this effect was mediated by components leaking from nylon. Moreover, our data suggested that microplastic textile fibers may especially harm the developing airways or airways undergoing repair. Our results call for a need to assess exposure and inhalation levels in indoor environments to accurately determine the actual risk of these fibers to human health. TeaserAirborne fibers shed from synthetic textiles, in particular nylon, can inhibit repair of the cells coating the airways

pharmacology and toxicology↗

bioRxiv2020

Enhancing Task fMRI Preprocessing via Individualized Model-Based Filtering of Intrinsic Activity Dynamics

Brain responses recorded during fMRI are thought to reflect both rapid, stimulus-evoked activity and the propagation of spontaneous activity through brain networks. In the current work we describe a method to improve the estimation of task-evoked brain activity by first "filtering-out" the intrinsic propagation of pre-event activity from the BOLD signal. We do so using Mesoscale Individualized NeuroDynamic (MINDy; [1]) models built from individualized resting-state data (MINDy-based Filtering). After filtering, time-series are analyzed using conventional techniques. Results demonstrate that this simple operation significantly improves the statistical power and temporal precision of estimated group-level effects. Moreover, use of MINDy-based filtering increased the similarity of neural activation profiles and prediction of individual differences in behavior across tasks measuring the same construct (cognitive control).Thus, by subtracting the propagation of previous activity, we obtain better estimates of task-related neural activity.

neuroscience↗

bioRxiv2020

Surface-Based Connectivity Integration

There has been increasing interest in jointly studying structural connectivity (SC) and functional connectivity (FC) derived from diffusion and functional MRI. However, several fundamental problems are still not well considered when conducting such connectome integration analyses, e.g., "Which structure (e.g., gray matter, white matter, white surface or pial surface) should be used for defining SC and FC and exploring their relationships", "Which brain parcellation should be used", and "How do the SC and FC correlate with each other and how do such correlations vary in different locations of the brain?". In this work, we develop a new framework called surface-based connectivity integration (SBCI) to facilitate the integrative analysis of SC and FC with a re-thinking of these problems. We propose to use the white surface (the interface of white matter and gray matter) to build both SC and FC since diffusion signals are in the white matter while functional signals are more present in the gray matter. SBCI also represents both SC and FC in a continuous manner at very high spatial resolution on the white surface, avoiding the need of pre-specified atlases which may bias the comparison of SC and FC. Using data from the Human Connectome Project, we show that SBCI can create reproducible, high quality SC and FC, in addition to three novel imaging biomarkers reflective of the similarity between SC and FC throughout the brain, called global, local, and discrete SC-FC coupling. Further, we demonstrate the usefulness of these biomarkers in finding group effects due to biological sex throughout the brain.

neuroscience↗