bioRxiv Science⌕ Search

Biology subjects

Swago, S.

Publications and source records attributed to Swago, S..

3 recordsLinked to original sources

In vivo imaging of reactive oxygen species after myocardial ischemia-reperfusion injury: a large animal multimodal imaging and transcriptomic study

BackgroundReactive oxygen species (ROS) contribute to myocardial ischemia-reperfusion injury (IRI), but in-vivo data on the spatial myocardial distribution and systemic effects of ROS after IRI remain limited. This multimodal CMR and PET/CT study aimed to non-invasively image ROS activity in a clinically-relevant swine model of IRI using [18F]ROStrace, a fluorine-18-labeled analogue of dihydroethidium (DHE), and to investigate regional changes in ROS activity in the infarcted myocardium during the subacute post-IRI phase. MethodsIRI was induced by percutaneous occlusion of the left anterior descending artery for 90 minutes in swine (N=9). CMR and whole-body PET/CT imaging with [18F]ROStrace were performed before myocardial infarction (MI) and 3-5 days post-MI to assess ROS in non-infarct myocardium, lungs, bone marrow, spleen and skeletal muscle. Late gadolinium enhanced CMR was performed to structurally characterize infarct regions. Post-MI, in vivo [18F]ROStrace signal in infarcted myocardium was compared with remote, non-infarcted myocardium and validated via ex vivo DHE fluorescent imaging. Bulk RNA-sequencing (RNA-seq) and Gene Ontology pathway analysis were conducted on biopsies from infarct and remote myocardial tissue to identify differentially expressed genes and pathways connected to oxidative stress. ResultsDuring the subacute phase following MI, [18F]ROStrace fractional uptake rate (FUR; min-1) was significantly increased in skeletal muscle, compared to baseline (0.011{+/-}0.003 vs 0.016{+/-}0.005, p=0.04), with a trend toward increased FUR in bone marrow (0.046{+/-}0.009 vs 0.056{+/-}0.011, p=0.12) and the left ventricular free wall (0.067{+/-}0.007 vs 0.073{+/-}0.010, p=0.15). Within the myocardium, [18F]ROStrace FUR ((min-1)/(mL/min/g)) was significantly higher in infarcted compared to non-infarcted myocardium regions (0.110{+/-}0.034, vs 0.148{+/-}0.035, p=0.0005). DHE staining confirmed elevated ROS levels in the infarcted myocardium. RNA-seq identified 8,707 differentially expressed genes between infarct and remote myocardium, with downregulated pathways in the infarct associated with mitochondrial function, cellular respiration, and metabolic adaptation. ConclusionThis study demonstrated MI ROS imaging using [18F]ROStrace using a whole-body PET/CT scanner and structural assessment with CMR. Systemic and myocardial increases in ROS activity were observed post-MI, accompanied by substantial molecular alterations in infarcted tissue. These findings show potential imaging strategies to evaluate therapeutic targets that can mitigate oxidative stress after MI.

bioengineering↗

An aortic hemodynamic fingerprint reduced order modeling analysis reveals traits associated with vascular disease in a medical biobank

PurposeTo determine the clinical relevance of reduced order model (ROM) aortic hemodynamic imaging-derived phenotypes (IDPs) for a range of flow conditions applied to computed tomography (CT) scan data in the Penn Medicine Biobank (PMBB). MethodsThe human thoracic aorta was automatically segmented in 3,204 chest CT scans from patients in the Penn Medicine Biobank (PMBB) patients using deep learning. Thoracic aorta anatomic IDPs such as aortic diameter and length were computed. Resistance, and flow boundary conditions, were varied, resulting in 125,000 ROM simulations, producing a fingerprint of aortic hemodynamics IDPs for a range of flow conditions. To determine the clinical relevance of the aortic hemodynamic fingerprint, untargeted phenome wide association studies (PheWAS) for disease conditions were performed using aortic geometries and pulse pressure as IDPs. ResultsBy utilizing patient metadata from the PMBB, the human aortic radius for different age groups over a normalized radius was visualized, showing how the vessel deforms with age, as well as other characteristic geometric information. The average radius of the ascending thoracic aortic data set was 26.6 {+/-} 3.1 mm, with an average length of 310 {+/-} 37 mm. A combination of pathology codes (phecodes) and hemodynamic simulations were utilized to develop a relationship between them, showing a strong relationship between the resulting pulse pressure and diseases relating to aortic aneurysms and heart valve disorders. The average pulse pressure calculated by the model was 22.5 {+/-} 8.5 mmHg, with the maximum pressure modeled by the system being 201 mmHg, with the minimum being 63.6 mmHg. The pulse pressures of the most significant phecodes were examined for patients with and without the condition, showing a slight separation between the two cases. The pulse pressure was also slightly negatively correlated with the calculated tapering angle of the ascending thoracic aorta. ConclusionsROM hemodynamic simulations can be applied to aortic imaging traits from thoracic imaging data in a medical biobank. The derived hemodynamic fingerprint, describing the response of the aorta to a range of flow conditions, shows clinically relevant associations with disease.

bioengineering↗

Quantification of NAD+ T1 and T2 relaxation times using downfield 1H MRS at 7 T in human brain in vivo

IntroductionThe purpose of this study was to use a single-slice spectrally-selective sequence to measure T1 and T2 relaxation times of NAD+ proton resonances in the downfield 1H MRS spectrum in human brain at 7 T in vivo and assess the propagation of relaxation time uncertainty in NAD+ quantification. MethodsDownfield spectra from 7 healthy volunteers were acquired at multiple echo times in all subjects to measure T2 relaxation, and saturation recovery data were to measure T1 relaxation. The downfield acquisition used a spectrally-selective 90{degrees} sinc pulse for excitation centered at 9.1 ppm with a bandwidth of 2 ppm, followed by a 180{degrees} spatially-selective Shinnar-Le Roux refocusing pulse for localization. For the multiple echo experiment, spectra were collected with echo times ranging from 13 to 33 ms. For the saturation recovery experiment, saturation was performed prior to excitation using the same spectrally-selective sinc pulse as was used for excitation. Saturation delay times (TS) ranged from 100 to 600 ms. Uncertainty propagation analysis was performed analytically and with Monte Carlo simulation. ResultsThe mean {+/-} standard deviation of T1 relaxation times of the H2, H6, and H4 protons were 152.7 {+/-} 16.6, 163.6 {+/-} 22.3, and 169.9 {+/-} 11.2 ms, respectively. The mean {+/-} standard deviation of T2 relaxation times of the H2, H6, and H4 protons were 32.5 {+/-} 7.0, 27.4 {+/-} 5.2, and 38.1 {+/-} 11.7 ms, respectively. The mean R2 of the H2 and H6 T1 fits were 0.98. The mean R2 of the H4 proton T1 fit was 0.96. The mean R2 of the T2 fits of the H2 and H4 proton resonances were 0.98, while the mean R2 of the T2 fits of the H4 proton was 0.93. The relative uncertainty in NAD+ concentration due to relaxation time uncertainty was 8.5%-11%. ConclusionUsing downfield spectrally-selective spectroscopy with single-slice localization, we found NAD+ T1 and T2 relaxation times to be approximately 162 ms and 32 ms respectively in the human brain in vivo at 7 T.

bioengineering↗