Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.07.25.500826

Optimisation and Pre-clinical Demonstration of Temporal Diffusion Ratio for Imaging Restricted Diffusion

Abstract

Temporal Diffusion Ratio (TDR) is a recently proposed dMRI technique (DellAcqua, 2019) which provides contrast between areas with restricted diffusion and areas either without restricted diffusion or with length scales too small for characterisation. Hence, it has a potential for mapping pore sizes, in particular large axon diameters or other cellular structures. TDR employs the signal from two dMRI acquisitions obtained with the same, large, b-value but with different diffusion times and gradient settings. TDR is advantageous as it employs standard acquisition sequences, does not make any assumptions on the underlying tissue structure and does not require any model fitting, avoiding issues related to model degeneracy. This work for the first time optimises the TDR diffusion sequences in simulation for a range of different tissues and scanner constraints. We extend the original work (which considers substrates containing cylinders) by additionally considering the TDR signal obtained from spherical structures, representing cell soma in tissue. Our results show that contrasting an acquisition with short gradient duration and short diffusion time with an acquisition with long gradient duration and long diffusion time improves the TDR contrast for a wide range of pore configurations. Additionally, in the presence of Rician noise, computing TDR from a subset (50% or fewer) of the acquired diffusion gradients rather than the entire shell as proposed originally further improves the contrast. In the last part of the work the results are demonstrated experimentally on rat spinal cord. In line with simulations, the experimental data shows that optimised TDR improves the contrast compared to non-optimised TDR. Furthermore, we find a strong correlation between TDR and histology measurements of axon diameter. In conclusion, we find that TDR has great potential and is a very promising alternative (or potentially complement) to model-based approaches for mapping pore sizes and restricted diffusion in general. HighlightsO_LITemporal Diffusion Ratio (TDR) 2-seq approach maps areas with restricted diffusion C_LIO_LIOptimised gradient waveform pair is: long {delta} + low G and short {delta} + high G C_LIO_LIIf data is noisy calculating TDR using HARDI acquisition subsets increases accuracy C_LIO_LIWe demonstrate TDR for the first time pre-clinically in rat spinal cord C_LIO_LIPre-clinical TDR values are strongly correlated with axon diameter C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Warner, W., Palombo, M., Cruz, R., Shemesh, N., Jones, D., Dell'Acqua, F., Ianus, A., Drobnjak, I.. 2022-07-27. Optimisation and Pre-clinical Demonstration of Temporal Diffusion Ratio for Imaging Restricted Diffusion. https://doi.org/10.1101/2022.07.25.500826

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Single-Component Photo-Crosslinked Lipoic Acid Functionalized Mucin Hydrogels: Dynamic Mucus Mimetics for Antiviral Protection

Native mucus protects epithelial surfaces through viscoelastic networks of disulfide-linked mucins. However, commercially available mucins often fail to reconstitute comparable mechanical and barrier properties, while synthetic and hybrid mucus mimetics require polymeric crosslinkers that may alter mucus-like composition. Inspired by the native architecture, we directly functionalized porcine gastric and bovine submaxillary mucins with -lipoic acid to develop a single-component, photo-crosslinkable hydrogels. Upon UV irradiation (365 nm), the modified mucins rapidly form disulfide-crosslinked networks without added photo-initiator/ polymeric crosslinkers, two orders of magnitude faster as compared with PEG-SH approaches. The resulting mucin-lipoic acid (MUC-LA) hydrogels exhibit mucus-relevant properties, including tunable viscoelasticity, redox responsiveness, self-healing, and size-dependent restrictions on nanoparticle transport. In transwell-based infection models, MUC-LA hydrogels (2-3%) mimicking the healthy airway mucus (G' {approx} 10-20 Pa) suppress epithelial infection by SARS-CoV-2 and influenza A virus. Crosslinked MUC-LA provides greater protection against SARS-CoV-2 than the non-crosslinked, whereas both formulations suppress influenza A infection, suggesting distinct contributions from network formation and mucin-associated interactions. These findings establish a dynamic, mucus-mimetic platform integrating rapid photo-gelation, controllable mechanics, selective transport, and antiviral barrier functionality. MUC-LA hydrogels offer opportunities to investigate mucosal transport and host-pathogen interactions, with potential applications in drug delivery, and as biomaterials.

bioengineering↗

A Fibrous Optofluidic Probe for Endovascular Sensing of Blood Oxygenation and Flow Velocity

Local hemodynamic information including blood oxygenation and flow velocity could guide vascular interventions, yet obtaining these parameters in deep, narrow vessels remains challenging. Here, we report a flexible, submillimeter-scale fibrous optofluidic probe for endovascular sensing of blood oxygenation and flow velocity. The probe integrates a polymer optical fiber for light transmission with a microfluidic tube for dye injection, enabling spectroscopic oximetry and fluorescence dilution-based velocimetry through a single device. Via vascular intervention, we demonstrate local hemodynamic sensing in rabbit arteries and angiography-guided deployment in canine carotid arteries. The probe captures local changes in blood oxygenation and flow velocity during vascular occlusion and reperfusion, revealing hemodynamic disturbances that are not reflected in peripheral monitors. These results illustrate the complementary information provided by local oximetry and velocimetry and establish a compact optofluidic platform for quantitative hemodynamic monitoring during vascular interventions.

bioengineering↗

Broad-spectrum in situ genetic reprogramming of native microbiomes

Complex microbial communities are found throughout terrestrial, aquatic, and animal-associated ecosystems. Genetic modification of discrete microbial taxa within native communities represents a powerful tool to study and augment microbiome functions. Herein, we develop Synthetic Phage Assisted Reprogrammable and Targetable Addition (SPARTA) as a one-step strategy for packaging, delivering, and integrating large synthetic DNA into a broad range of native microbiomes. SPARTA leverages a broad-spectrum synthetic phage particle for in situ genome engineering within complex soil, freshwater, and mammalian fecal microbiomes, reprogramming 59 native species across 16 families. By modulating SPARTA components, we further demonstrated tunability of SPARTA towards targeted microbiome population. Additionally, we built a novel companion tool to quantitatively identify engineered taxa, named 16S crRNA-guided inference of bacterial engineering sequencing or ScRibe-seq. The SPARTA-ScRibe-seq pipeline delivered and validated functional synthetic gene clusters in diverse native microbiomes while preserving the original microbial community structure. Together, this novel genome engineering framework constitutes an end-to-end programmable platform for rational and customizable reprogramming of native microbiomes.

bioengineering↗