Biology subjects

Dickie, B. R.

Publications and source records attributed to Dickie, B. R..

4 recordsLinked to original sources

bioRxiv2026

Voxel-wise tracer kinetic model selection for DCE-MRI measurements of blood-brain barrier leakage

PurposeTo apply voxel-wise tracer kinetic model selection, characterise the spatial distribution of best-fitting models across the brain, and evaluate whether model selection improves sensitivity for differentiating normal-appearing tissue from pathological tissue compared to the Patlak model. MethodsExtended Tofts, Patlak, and intravascular models were fit to DCE-MRI data from stroke survivors and controls, as well as simulated data. The best-fitting model was chosen for each voxel using the Akaike Information Criterion, and model selection Ktrans (estimates from the best-fitting model for each voxel) compared to Patlak model Ktrans. ResultsIn simulated data, the Extended Tofts model was best-fitting at Ktrans>10-3 min-1, where the Patlak model systematically underestimated Ktrans. Patlak was optimal at Ktrans between 10-4-10-3 min-1, where Extended Tofts estimates had greater variability. The intravascular model was selected for Ktrans[~]10-4 min-1. The Patlak model was chosen in most control voxels. In chronic stroke, the Extended Tofts model was preferred in most cortical and white matter hyperintensity voxels, while the Patlak model was selected in most deep grey matter and normal-appearing white matter voxels. Model selection Ktrans estimates were significantly greater than Patlak estimates in the cortex and white matter hyperintensities, with greater inter-patient variability, likely reflecting biological variability in blood-brain barrier leakage resulting from stroke. ConclusionVoxel-wise model selection may provide more accurate estimates of a wider range of Ktrans values than any single model, revealing greater differences between normal and pathological tissue and offering a more sensitive and physiologically appropriate framework for DCE-MRI analysis of blood-brain barrier dysfunction.

neuroscience↗

bioRxiv2025

Targeting therapeutic nanoparticles to the glioblastoma resection margin by harnessing post-operative spatiotemporal blood-brain barrier disruption

Resection surgery is the first-line therapy for glioblastoma (GBM) that is performed in >70% of patients, typically within days of suspected diagnosis. Current protocols for follow-on chemoradiotherapy have shown only modest efficacy in eliminating residual disease, leading to inevitable tumour recurrence. There remains a need for new approaches to swiftly and effectively treat post-operative residual disease to prevent the rapid early progression of recurrent GBM. Using syngeneic preclinical models of glioblastoma resection, we identified a spatially and temporally restricted window of blood brain barrier (BBB) disruption localised to the resection margin, during the immediate (15 min) and early (48-72h) postoperative periods. Intravenous administration of fluorescently labelled, clinically-used liposome nanoparticles during these periods demonstrated that selective accumulation at the postoperative resection margin, while largely being excluded from areas of the brain with an intact BBB, could be achieved. Confocal analysis confirmed the presence of extravasated nanoparticles within the margin parenchyma which largely interacted with microglial populations closely associated with residual tumour cells. Exploiting this, we performed intravenous administration of doxorubicin-loaded liposomes (DOX-Lipo) coinciding with the peak of postoperative BBB disruption and demonstrated both enhanced chemotherapy delivery and consequently complete inhibition of tumour recurrence from a single administration. Overall, this work underscores the importance of timing concomitant chemotherapy to the post-operative timeframe and demonstrates that clinically-used liposomal nanomedicines could be readily repurposed for early post-operative therapy in aggressive brain tumours.

pharmacology and toxicology↗

bioRxiv2023

Blood-brain barrier water exchange measurements using contrast-enhanced ASL

A technique for quantifying regional blood-brain barrier (BBB) water exchange rates using contrast-enhanced arterial spin labelling (CE-ASL) is presented and evaluated in simulations and in vivo. The two-compartment ASL model describes the water exchange rate from blood to tissue, kb, but to estimate kb in practice it is necessary to separate the intra- and extravascular signals. This is challenging in standard ASL data owing to the small difference in T1 values. Here, a gadolinium-based contrast agent is used to increase this T1 difference and enable the signal components to be disentangled. The optimal post-contrast blood T1 [Formula] at 3T was determined in a sensitivity analysis, and the accuracy and precision of the method quantified using Monte Carlo simulations. Proof-of-concept data were acquired in six healthy volunteers (five female, age range 24 - 46 years). The sensitivity analysis identified the optimal [Formula] at 3T as 0.8 s. Simulations showed kb could be estimated in individual cortical regions with a relative error{epsilon} < 1% and coefficient of variation CoV = 30 %; however, a high dependence on blood T1 was also observed. In volunteer data, mean parameter values in grey matter were: arterial transit time tA = 1.15{+/-}0.49 s, cerebral blood flow f = 58.0{+/-}14.3 ml blood / min / 100 ml tissue, water exchange rate kb = 2.32 {+/-} 2.49 s-1. CE-ASL can provide regional BBB water exchange rate estimates; however, the clinical utility of the technique is dependent on the achievable accuracy of measured T1 values.

biophysics↗

bioRxiv2021

In vivo multi-parametric manganese-enhanced MRI for detecting senile plaques in rodent models of Alzheimer's disease

Senile plaques are a hallmark of Alzheimers disease (AD) that develop in its earliest stages. Thus, non-invasive detection of these plaques would be invaluable for diagnosis and the development and monitoring of treatments, but this remains a challenge due to their small size. Here, we investigated the utility of manganese-enhanced MRI (MEMRI) for visualizing plaques in transgenic rodent models of AD across two species: 5xFAD mice and TgF344-AD rats. Fourteen mice (eight transgenic, six wild-type) and eight rats (four transgenic, four wild-type) were given subcutaneous injections of MnCl2 and imaged in vivo using a 9.4T Bruker scanner. Susceptibility-weighted images, transverse relaxation rate (R2*) maps, and quantitative susceptibility maps were derived from high-resolution 3D multi-gradient-echo (MGE) data to directly visualize plaques. Longitudinal relaxation rate (R1) maps were derived from MP2RAGE data to measure regional manganese uptake. After scanning, the brains were processed for histology and stained for beta-amyloid (4G8 antibody), iron (Perls), and calcium/manganese (Alizarin Red). MnCl2 improved signal-to-noise ratio (1.55{+/-}0.39-fold increase in MGE images) as expected, although this was not necessary for detection of plaques in the high-resolution images. Plaques were visible in susceptibility-weighted images, R2* maps, and quantitative susceptibility maps, with increased R2* and more positive magnetic susceptibility compared to surrounding tissue. In the 5xFAD mice, most MR-visible plaques were in the hippocampus, though histology confirmed plaques in the cortex and thalamus as well. In the TgF344-AD rats, many more plaques were MR-visible throughout the hippocampus and cortex. Beta-amyloid and iron staining indicate that, in both models, MR visibility was driven by plaque size and iron load. Voxel-wise comparison of R1 maps revealed increased manganese uptake in brain regions of high plaque burden in transgenic animals compared to their wild-type littermates. Interestingly, in contrast to plaque visibility in the high-resolution images, the increased manganese uptake was limited to the rhinencephalon in the TgF344-AD rats (family-wise error (FWE)-corrected p < 0.05) while it was most significantly increased in the cortex of the 5xFAD mice (FWE-corrected p < 0.3). Alizarin Red staining suggests that manganese bound to plaques in 5xFAD mice but not in TgF344-AD rats. Multi-parametric MEMRI is a simple, viable method for detecting senile plaques in rodent models of AD. Manganese-induced signal enhancement can enable higher-resolution imaging, which is key to visualizing these small amyloid deposits. We also present in vivo evidence of manganese as a potential targeted contrast agent for imaging plaques in the 5xFAD model of AD. HighlightsO_LIThis is the first study to use manganese-enhanced MRI (MEMRI) for direct visualization of senile plaques in rodent models of Alzheimers disease, in vivo. C_LIO_LIManganese enhancement is not necessary to detect plaques but improves image contrast and signal-to-noise ratio. C_LIO_LIManganese binds to plaques in 5xFAD mice but not in TgF344-AD rats, demonstrating potential as a targeted contrast agent for imaging plaques in certain models of AD. C_LI

neuroscience↗