Biology subjects

Turnbull, J.

Publications and source records attributed to Turnbull, J..

7 recordsLinked to original sources

bioRxiv2026

Diagnose Harmonisation (DHARM): An open-source tool for the harmonisation and analysis of batch effects in MRI-derived measures.

Technical differences between scanners, acquisition protocols, machine hardware and processing pipelines can introduce systematic variation into MRI-derived measures. Numerous harmonisation methods have been developed to reduce these effects. However, validation of these methods is often performed using different criteria depending on the method itself, the datasets used and the study design. Consequently, determining whether harmonisation is required, selecting an appropriate method and establishing whether or not technical variation has been sufficiently removed without compromising biological signal remain challenging. In this manuscript, we introduce Diagnose Harmonisation (DHARM), an open-source Python toolbox for diagnosing batch effects, applying harmonisation and evaluating harmonisation performance in cross-sectional and repeated-measures settings. DHARM is user-friendly, comes with GUI-based and command-line interfaces, and has graphical reporting. It provides standardised reporting workflows combining complementary measures of batch-associated differences in feature location, scale, empirical distributions, covariance and multivariate structure, together with measures assessing preservation of biological covariate effects and repeated-measures consistency. The framework includes several established harmonisation approaches, but its evaluation workflow is method-agnostic: users can also supply data harmonised using external or newly developed methods and benchmark their outputs using the same common set of diagnostics. We demonstrate DHARM using multisite cross-sectional MRI measures from UK Biobank, Cam-CAN and OxBAC as well as travelling-heads data from the ON-Harmony dataset. Across the cross-sectional datasets, harmonisation substantially reduced additive batch effects, while residual differences in variance and empirical distributions varied between methods. Multivariate diagnostics further demonstrated that reduction of batch-associated structure can coexist with preservation or increased detectability of biologically relevant variation. In the repeated-measures example, harmonisation reduced batch-associated and within-subject variability, while broadly preserving subject-level and biological relationships. DHARM provides a reproducible framework for diagnosing batch effects, applying different harmonisation methods and evaluating harmonisation as a multi-criteria problem rather than relying on a single measure of success. By jointly characterising technical variation and preservation of biologically meaningful information, DHARM can support dataset- and objective-specific selection, benchmarking and validation of harmonisation strategies.

neuroscience↗

bioRxiv2026

Tackling Bias in Cortical Thickness Estimation in UK Biobank Using Harmonisation Approaches

Big neuroimaging data enable researchers to study subtle structural and functional brain changes and relationships between brain characteristics and genetics, lifestyle, and disease factors. However, substantial effort is needed to minimise technical, non-biological differences between data batches to avoid incorrect inferences. In this study, we address a previously identified bias in UK Biobank FreeSurfer IDPs derived from only the T1 image compared to those using both T1 and T2-FLAIR by treating the bias as a batch effect and using harmonisation approaches. We investigate and characterise this bias through direct within-participant comparison at the image and IDP level, comparing the results with those seen in the wider UKB sample. We then assess different methods of addressing the effect of missing T2-FLAIR, starting from simple linear regression before moving to ComBat, a widely used harmonisation method, testing different approaches for applying ComBat and showing its similarity to simple linear regression. Finally, we examine how ComBat estimates vary with batch and sample size. Our results show clear benefits in using both T1 and T2-FLAIR data in FreeSurfer, as opposed to just the T1, which is more common, with the pial surface fitting being less likely to fail and showing greater biologically plausible inter-subject variability. This is particularly important for cortical thickness IDPs, where T2-FLAIR omission leads to reduced true variability and systematic underestimation, as shown through within-participant repeat testing. We demonstrate that ComBat can address this bias, with its standard use (i.e., applied separately on different IDP categories) showing the best improvement in cortical thickness measures where the bias is strongest, and we find that it is important not to pool ComBat priors across different classes of IDPs. Our proposed version of ComBat with a reference batch (i.e., estimating mean and variance only from data with T2-FLAIR available) performed best in recovering both mean and variance differences between batches across different IDP classes and offers a promising approach for cases where a reference batch is clearly identifiable. While ComBat reliably corrects mean (additive) batch effects with relatively small sample sizes ({approx}30 subjects per batch), we show that its variance (multiplicative) correction is substantially less stable, requiring much larger sample sizes and becoming unreliable when batches are small or imbalanced, or when there is a large variance difference between them.

neuroscience↗

bioRxiv2023

In Vitro Evolution to Increase the Titers of Difficult Bacteriophages: Rapid Appelmans Protocol

Bacteriophages are becoming increasingly important in the race to find alternatives to antibiotics. Unfortunately, bacteriophages that might otherwise be useful are sometimes discarded due to low titers making them unsuitable for downstream applications. Here, we present two distinct approaches to experimentally evolve novel New Zealand Paenibacillus larvae bacteriophages. The first approach uses the traditional agar-overlay method, whereas the other was a Rapid Appelmans Protocol (RAP) modelled after the established Appelmans Method. Both approaches resulted in an increase in plaque-forming units (PFU/mL). The RAP approach was significantly faster and simpler, and allowed us to evolve a set of bacteriophages in as little as four days, increasing titers 100-1000-fold relative to their ancestors. The resultant titers were sufficient to extract and sequence DNA from these bacteriophages. An analysis of these phage genomes is provided. We also propose a model that describes the parameters that allow the RAP approach to select improvement of bacteriophage titer. The RAP approach is an effective method for experimentally evolving previously intractable bacteriophages in a high-throughput and expeditious manner.

microbiology↗

bioRxiv2021

Investigating the Contribution of White Matter Hyperintensities and Cortical Thickness to Empathy in Neurodegenerative and Cerebrovascular Diseases

Introduction: Change in empathy is an increasingly recognised symptom of neurodegenerative diseases and contributes to caregiver burden and patient distress. Empathy impairment has been associated with brain atrophy but its relationship to white matter hyperintensities (WMH) is unknown. We aimed to investigate the relationships amongst WMH, brain atrophy, and empathy deficits in neurodegenerative and cerebrovascular diseases. Methods: 513 participants with Alzheimers Disease/Mild Cognitive Impairment, Amyotrophic Lateral Sclerosis, Frontotemporal Dementia (FTD), Parkinsons Disease, or Cerebrovascular Disease (CVD) were included. Empathy was assessed using the Interpersonal Reactivity Index. WMH were measured using a semi-automatic segmentation and FreeSurfer was used to measure cortical thickness. Results: A heterogeneous pattern of cortical thinning was found between groups, with FTD showing thinning in frontotemporal regions and CVD in left superior parietal, left insula, and left postcentral. Results from both univariate and multivariate analyses revealed that several variables were associated with empathy, particularly cortical thickness in the fronto-insulo-temporal and cingulate regions, sex(female), global cognition, and right parietal and occipital WMH. Conclusions: Our results suggest that cortical atrophy and WMH may be associated with empathy deficits in neurodegenerative and cerebrovascular diseases. Future work should consider investigating the longitudinal effects of WMH and atrophy on empathy deficits in neurodegenerative and cerebrovascular diseases.

neuroscience↗

bioRxiv2020

SARS-CoV-2 Spike S1 Receptor Binding Domain undergoes Conformational Change upon Interaction with Low Molecular Weight Heparins.

The dependence of the host on the interaction of hundreds of extracellular proteins with the cell surface glycosaminoglycan heparan sulphate (HS) for the regulation of homeostasis is exploited by many microbial pathogens as a means of adherence and invasion. The closely related polysaccharide heparin, the widely used anticoagulant drug, which is structurally similar to HS and is a common experimental proxy, can be expected to mimic the properties of HS. Heparin prevents infection by a range of viruses when added exogenously, including S-associated coronavirus strain HSR1 and inhibits cellular invasion by SARS-CoV-2. We have previously demonstrated that unfractionated heparin binds to the Spike (S1) protein receptor binding domain, induces a conformational change and have reported the structural features of heparin on which this interaction depends. Furthermore, we have demonstrated that enoxaparin, a low molecular weight clinical anticoagulant, also binds the S1 RBD protein and induces conformational change. Here we expand upon these studies, to a wide range of low molecular weight heparins and demonstrate that they induce a variety of conformational changes in the SARS-CoV-2 RBD. These findings may have further implications for the rapid development of a first-line therapeutic by repurposing low molecular weight heparins, as well as for next-generation, tailor-made, GAG-based antiviral agents, against SARS-CoV-2 and other members of the Coronaviridae.

biochemistry↗

bioRxiv2020

Glycosaminoglycans induce conformational change in the SARS-CoV-2 Spike S1 Receptor Binding Domain.

The glycosaminoglycan (GAG) class of polysaccharides are utilised by a plethora of microbial pathogens as receptors for adherence and invasion. The GAG heparin prevents infection by a range of viruses when added exogenously, including the S-associated coronavirus strain HSR1 and more recently we have demonstrated that heparin can block cellular invasion by SARS-CoV-2. Heparin has found widespread clinical use as anticoagulant drug and this molecule is routinely used as a proxy for the GAG, heparan sulphate (HS), a structural analogue located on the cell surface, which is a known receptor for viral invasion. Previous work has demonstrated that unfractionated heparin and low molecular weight heparins binds to the Spike (S1) protein receptor binding domain, inducing distinct conformational change and we have further explored the structural features of heparin with regard to these interactions. In this article, previous research is expanded to now include a broader range of GAG family members, including heparan sulphate. This research demonstrates that GAGs, other than those of heparin (or its derivatives), can also interact with the SARS-CoV-2 Spike S1 receptor binding domain and induce distinct conformational changes within this region. These findings pave the way for future research into next-generation, tailor-made, GAG-based antiviral agents, against SARS-CoV-2 and other members of the Coronaviridae.

biochemistry↗

bioRxiv2020

Heparin inhibits cellular invasion by SARS-CoV-2: structural dependence of the interaction of the surface protein (spike) S1 receptor binding domain with heparin.

The dependence of the host on the interaction of hundreds of extracellular proteins with the cell surface glycosaminoglycan heparan sulphate (HS) for the regulation of homeostasis is exploited by many microbial pathogens as a means of adherence and invasion. The closely related polysaccharide heparin, the widely used anticoagulant drug, which is structurally similar to HS and is a common experimental proxy, can be expected to mimic the properties of HS. Heparin prevents infection by a range of viruses if added exogenously, including S-associated coronavirus strain HSR1. Heparin prevents infection by a range of viruses if added exogenously, including S-associated coronavirus strain HSR1. Here, we show that the addition of heparin to Vero cells between 6.25 - 200 g.ml-1, which spans the concentration of heparin in therapeutic use, and inhibits invasion by SARS-CoV-2 at between 44 and 80%. We also demonstrate that heparin binds to the Spike (S1) protein receptor binding domain and induces a conformational change, illustrated by surface plasmon resonance and circular dichroism spectroscopy studies. The structural features of heparin on which this interaction depends were investigated using a library of heparin derivatives and size-defined fragments. Binding is more strongly dependent on the presence of 2-O or 6-O sulphation, and the consequent conformational consequences in the heparin structure, than on N-sulphation. A hexasaccharide is required for conformational changes to be induced in the secondary structure that are comparable to those that arise from heparin binding. Enoxaparin, a low molecular weight clinical anticoagulant, also binds the S1 RBD protein and induces conformational change. These findings have implications for the rapid development of a first-line therapeutic by repurposing heparin as well as for next-generation, tailor-made, GAG-based antiviral agents against SARS-CoV-2 and other members of the Coronaviridae.

biochemistry↗