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Dive into the research topics where Michael Ernest Marino is active.

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Featured researches published by Michael Ernest Marino.


American Journal of Physiology-heart and Circulatory Physiology | 2013

Ultrasound-mediated targeted drug delivery: recent success and remaining challenges

Jason William Castle; Matthew David Butts; Andrew Healey; Kevin Peter Kent; Michael Ernest Marino; Steven B. Feinstein

The potential clinical value of developing a novel, nonviral, ultrasound-directed gene and drug delivery system is immense. Investigators soon will initiate clinical trials with the goal of treating a wide variety of maladies using noninvasive, ultrasound-based technology. The ongoing, scientific validation associated with promising preclinical success portents a novel range of therapeutics. The clinical utility and eventual clinical successes await vigorous testing. This review highlights the recent successes and challenges within the field of ultrasound-mediated drug delivery.


ACS Nano | 2012

Preclinical assessment of a zwitterionic tantalum oxide nanoparticle X-ray contrast agent.

Peter John Bonitatibus; Andrew Soliz Torres; Binil Itty Ipe Kandapallil; Brian Duh-Lan Lee; Greg D. Goddard; Robert Edgar Colborn; Michael Ernest Marino

Tantalum oxide nanoparticles show great potential as the next generation of X-ray contrast media. Recently, we reported advances in tantalum oxide nanoparticles and identified improvements that were required for such particles to progress further. Namely, the viscosity of concentrated particles, the amount of retention in reticuloendothelial (RES) tissues, and the effect of large quantities of particles on the kidneys after administration were all identified as critical factors which needed further study, understanding, and development. Here, we report on a zwitterionic siloxane polymer nanoparticle coating that reduced the viscosity of concentrated solutions of particles by a factor of 5, decreased tissue retention of injected particles by a factor of 10, and, importantly, did not induce pathological responses in the kidneys.


Investigative Radiology | 2012

Biological performance of a size-fractionated core-shell tantalum oxide nanoparticle x-ray contrast agent.

Andrew Soliz Torres; Peter John Bonitatibus; Robert Edgar Colborn; Gregory Goddard; Paul F. FitzGerald; Brian Duh-Lan Lee; Michael Ernest Marino

ObjectivesMetal-containing nanoparticles show great promise as x-ray contrast media and could enable reduced radiation dose, increased contrast, and the visualization of smaller anatomic features. In this study, we report progress toward these goals using a size-fractionated core-shell tantalum oxide nanoparticle contrast agent. Materials and MethodsA core-shell tantalum oxide nanoparticle contrast agent was synthesized and size fractionated for preclinical investigation of biodistribution, blood half-life, organ retention, and histopathology. Fractionated agent was injected at anticipated clinical dose and at 3 times the anticipated clinical dose to evaluate biological performance. Computed tomography (CT) imaging studies were also performed to evaluate short-term clearance kinetics and new imaging applications. ResultsImproved control of 2-diethylphosphatoethylsilane-TaO nanoparticle size resulted in significantly reduced retention of injected tantalum. In vivo and in vitro CT imaging studies demonstrated short-term biodistribution differences in the kidney between small-molecule iodinated contrast media and fractionated 2-diethylphosphatoethylsilane-TaO, as well as preliminary data about new “Ta-only” imaging applications using multienergy CT image acquisition. ConclusionsSize-fractionated core-shell tantalum oxide nanoparticles with a well-defined particle size distribution have several key features required of clinically viable vascular imaging compounds and may be used in developing multienergy CT imaging applications.


Advanced Drug Delivery Reviews | 2017

Opportunities for new CT contrast agents to maximize the diagnostic potential of emerging spectral CT technologies.

Benjamin M. Yeh; Paul F. FitzGerald; Peter Michael Edic; Jack W. Lambert; Robert Edgar Colborn; Michael Ernest Marino; Paul Evans; Jeannette Christine Roberts; Zhen J. Wang; Margaret Wong; Peter J. Bonitatibus

The introduction of spectral CT imaging in the form of fast clinical dual-energy CT enabled contrast material to be differentiated from other radiodense materials, improved lesion detection in contrast-enhanced scans, and changed the way that existing iodine and barium contrast materials are used in clinical practice. More profoundly, spectral CT can differentiate between individual contrast materials that have different reporter elements such that high-resolution CT imaging of multiple contrast agents can be obtained in a single pass of the CT scanner. These spectral CT capabilities would be even more impactful with the development of contrast materials designed to complement the existing clinical iodine- and barium-based agents. New biocompatible high-atomic number contrast materials with different biodistribution and X-ray attenuation properties than existing agents will expand the diagnostic power of spectral CT imaging without penalties in radiation dose or scan time.


Radiology | 2018

An Intravascular Tantalum Oxide–based CT Contrast Agent: Preclinical Evaluation Emulating Overweight and Obese Patient Size

Jack W. Lambert; Yuxin Sun; Carol Stillson; Zhixi Li; Rahi Kumar; Sizhe Wang; Paul F. FitzGerald; Peter John Bonitatibus; Robert Edgar Colborn; Jeannette Christine Roberts; Peter Michael Edic; Michael Ernest Marino; Benjamin M. Yeh

Purpose To compare the CT imaging performance of a carboxybetaine zwitterionic-coated tantalum oxide (TaCZ) nanoparticle CT contrast agent with that of a conventional iodinated contrast agent in a swine model meant to simulate overweight and obese patients. Materials and Methods Four swine were evaluated inside three different-sized adipose-equivalent encasements emulating abdominal girths of 102, 119, and 137 cm. Imaging was performed with a 64-detector row CT scanner at six scan delays after intravenous injection of 240 mg element (Ta or I) per kilogram of body weight of TaCZ or iopromide. For each time point, contrast enhancement of the aorta and liver were measured by using regions of interest. Two readers independently recorded the clarity of vasculature using a five-point Likert scale. Findings were compared by using paired t tests and Wilcoxon signed-rank tests. Results Mean peak enhancement was higher for TaCZ than for iopromide in the aorta (270 HU [σ = 24.5] vs 199 HU [σ = 10.2], P < .001) and liver (61.3 HU [σ = 11.7] vs 45.2 HU [σ = 8], P < .001). Vascular clarity was higher for TaCZ than for iopromide in 63% (132 of 208), 82% (170 of 208), and 86% (178 of 208) of the individual vessels at the 102-, 119-, and 137-cm girths, respectively (P < .01). Arterial clarity scores were higher for TaCZ than for iopromide in 62% (208 of 336) of vessels. Venous clarity scores were higher for TaCZ than for iopromide in 89% (128 of 144) of the veins in the venous phase and in 100% (144 of 144) of veins in the delayed phase (P < .01). No vessel showed higher clarity score with iopromide than with TaCZ. Conclusion An experimental tantalum nanoparticle-based contrast agent showed greater contrast enhancement compared with iopromide in swine models meant to simulate overweight and obese patients.


international symposium on biomedical imaging | 2017

Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy

Aritra Chowdhury; Dmitry V. Dylov; Qing Li; Michael MacDonald; Daniel Eugene Meyer; Michael Ernest Marino; Alberto Santamaria-Pang

We report an automated method for characterization of microvessel morphology in micrographs of brain tissue sections to enable the facile, quantitative analysis of vascular differences across large datasets consisting of hundreds of images with thousands of blood vessel objects. Our objective is to show that virtual 3D parametric models of vasculature are adequately capable of representing the morphology of naturally acquired data in neuropathology. In this work, we focus on three distinct morphologies that are most frequently observed in formalin-fixed, paraffin-embedded (FFPE) human brain tissue samples: single blood vessels showing no (or collapsed) significant lumen (“RoundLumen-”); single blood vessels with distinct lumen (“RoundLumen+”); two blood vessels bundled together in close proximity (“Twins”). The analysis involves extraction of features using pre-trained convolutional neural networks. A hierarchical classification is performed to distinguish single blood vessels (RoundLumen) from Twins; followed by a more granular classification between RoundLumen- and RoundLumen+. A side-by-side comparison of the virtual and natural data models is presented. We observed that classification models built on the virtual data perform well achieving accuracies of 92.8% and 98.3% for the two aforementioned classification tasks respectively.


Archive | 2009

Nanoparticle contrast agents for diagnostic imaging

Peter John Bonitatibus; Matthew David Butts; Robert Edgar Colborn; Amit Kulkarni; Bruce Allan Hay; Andrew Soliz Torres; Brian Christopher Bales; Michael Ernest Marino


Atherosclerosis | 2015

Therapeutic ultrasound: Increased HDL-Cholesterol following infusions of acoustic microspheres and apolipoprotein A-I plasmids

Jason William Castle; Kevin Peter Kent; Ying Fan; Kirk Wallace; Cynthia Elizabeth Landberg Davis; Jeannette Christine Roberts; Michael Ernest Marino; Kai E. Thomenius; Hae W. Lim; Eric Coles; Michael Davidson; Steven B. Feinstein; Anthony N. DeMaria


Archive | 2008

PDGF-RBeta BINDERS

Michael Ernest Marino; Faisal Ahmed Syud; Paul Schaffer; Brian Duh-Lan Lee; Rong Zhang; Malin Lindborg; Elin Gunneriusson; Christopher Lendel


Archive | 2008

IN VIVO IMAGING AGENTS FOR MET RECEPTOR TYROSINE KINASE

Clifford Leslie Smith; Faisal Ahmed Syud; Brian Duh-Lan Lee; Matthew Sam Morrison; Michael Ernest Marino; Jason William Castle; Paul Schaffer; Gabriele Matschiner; Andreas Hohlbaum; Martin Huelsmeyer; Stefan Trentmann

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Elin Gunneriusson

Royal Institute of Technology

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