Additional file 1 of Filter exchange imaging with crusher gradient modelling detects increased blood–brain barrier water permeability in response to mild lung infection
Creators: name: Ohene, Yolanda
name: Harris, William J.
name: Powell, Elizabeth
name: Wycech, Nina W.
name: Smethers, Katherine F.
name: Lasič, Samo
name: South, Kieron
name: Coutts, Graham
name: Sharp, Andrew
name: Lawrence, Catherine B.
name: Boutin, Hervé
name: Parker, Geoff J. M.
name: Parkes, Laura M.
name: Dickie, Ben R.
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1: Table S1. List of antibodies used for the immunohistochemistry experiments. Table S2. Modelling parameters: Apparent exchange rate (AXR), equilibrium apparent diffusion coefficient (ADCeq) and filter efficiency (σ) at various slice thicknesses (∆z) from simulated and in vivo data. Table S3. Percentage (%) area of tight junction protein covering the vasculature in each brain region for non-infected and infected animals. Figure S1. Modelling parameters from test and retest study: a) Equilibrium apparent diffusion coefficient (ADCeq) for test (0.81 ± 0.01 x 10-3 mm2/s) and retest (0.81 ± 0.01 x 10-3 mm2/s) scans b) Filter efficiency (σ) for test (0.073 ± 0.002) and retest (0.075 ± 0.002) scans c) Intravascular diffusivity (Di) for test (0.017 ± 0.003 mm2/s) and retest (0.020 ± 0.005 mm2/s) scans d) Intravascular signal fraction (fi) for test (0.019 ± 0.002) and retest (0.019 ± 0.002). All plots show individual animal data with mean ± s.e.m across all animals (n = 15); ns: non-significant. Figure S2. Apparent diffusion coefficient (ADC’(tm)) measures for AXR and kin estimates at baseline and during infection. a) ADC’ maps at each mixing time (tm) from a representative animal at baseline and during infection (voxels where ADC’ &gt; 1.0 x 10-3 mm2/s have been removed), with T2 TurboRARE anatomical images (left),. b) Plot of individual water exchange rate measures, kin against AXR, both at baseline and during infection (n = 28); p &lt; 0.0001, r = 0.76. Mean normalised ADC’ against mixing time across all animals (n = 14) with mean ± s.e.m fit to c) the apparent exchange rate (AXR) model and d) the crusher compensated exchange rate (CCXR) model. Figure S3. Modelling parameters from in rats at baseline and during infection: a) Equilibrium apparent diffusion coefficient (ADCeq) at baseline (8.16 ± 0.04 x 10-4 mm2/s) and during infection (8.15 ± 0.03 x 10-4 mm2/s) b) Filter efficiency (σ) at baseline (0.076 ± 0.003) and during infection (0.076 ± 0.002) c) Intravascular diffusivity (Di) at baseline (0.016 ± 0.003 mm2/s) and during infection (0.020 ± 0.004 mm2/s) d) Intravascular signal fraction (fi) at baseline (0.019 ± 0.002) and during infection (0.018 ± 0.002). All plots show individual animal data with mean ± s.e.m displayed across all animals (n = 14); ns: non-significant. Figure S4: Immunohistochemistry slices a) Schematic of the top view of the rat brain showing slice locations from bregma, and the sagittal view showing the two brain regions of interest: posterior cingulate and temporal cortices (light orange) and hippocampus (dark orange). b) Representative example of the brain slices from for the tight junction and AQP4 staining, three locations in each brain slice for each brain region were acquired. Figure S5. Aquaporin-4 (AQP4) and lectin profiles a) Individual area under curve (AUC) for AQP4 profiles from the hippocampus (Hipp) and posterior cingulate and temporal cortices (Pcc-TC) brain regions. 2-way ANOVA with multiple-comparisons; *p &lt; 0.05. b) Mean AUC measurements from the vessel (lectin) profiles across hippocampal and posterior cingulate and temporal cortices brain regions for non-infected (NI) animals (n = 7) and infected (Inf) animals (n = 9). Plot shows individual animal data with mean ± s.e.m displayed; ns: non-significant.