Dmitry Markov

Dr. Dmitry Markov

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2016 in Journal of Neuroinflammation
Verified
Journal Article
Open access
PDF file
JBJacquelyn A brown
Jacquelyn A brown
SCSimona G. Codreanu
Simona G. Codreanu
MSMingjian Shi
Mingjian Shi
SSStacy D. Sherrod
Stacy D. Sherrod
DMDmitry Markov
Dmitry Markov
JWJohn P. P Wikswo
John P. P Wikswo
Understanding blood-brain barrier responses to inflammatory stimulation (such as lipopolysaccharide mimicking a systemic infection or a cytokine cocktail that could be the result of local or systemic inflammation) is essential to understanding the effect of inflammatory stimulation on the brain. It is through the filter of the blood-brain barrier that the brain responds to outside influences, and the blood-brain barrier is a critical point of failure in neuroinflammation. It is important to note that this interaction is not a static response, but one that evolves over time. While current models have provided invaluable information regarding the interaction between cytokine stimulation, the blood-brain barrier, and the brain, these approaches—whether in vivo or in vitro—have often been only snapshots of this complex web of interactions. We utilize new advances in microfluidics, organs-on-chips, and metabolomics to examine the complex relationship of inflammation and its effects on blood-brain barrier function ex vivo and the metabolic consequences of these responses and repair mechanisms. In this study, we pair a novel dual-chamber, organ-on-chip microfluidic device, the NeuroVascular Unit, with small-volume cytokine detection and mass spectrometry analysis to investigate how the blood-brain barrier responds to two different but overlapping drivers of neuroinflammation, lipopolysaccharide and a cytokine cocktail of IL-1β, TNF-α, and MCP1,2. In this study, we show that (1) during initial exposure to lipopolysaccharide, the blood-brain barrier is compromised as expected, with increased diffusion and reduced presence of tight junctions, but that over time, the barrier is capable of at least partial recovery; (2) a cytokine cocktail also contributes to a loss of barrier function; (3) from this time-dependent cytokine activation, metabolic signature profiles can be obtained for both the brain and vascular sides of the blood-brain barrier model; and (4) collectively, we can use metabolite analysis to identify critical pathways in inflammatory response. Taken together, these findings present new data that allow us to study the initial effects of inflammatory stimulation on blood-brain barrier disruption, cytokine activation, and metabolic pathway changes that drive the response and recovery of the barrier during continued inflammatory exposure.

1 March 2013 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Open access
JWJohn P. P Wikswo
John P. P Wikswo
FBF. E. Block
F. E. Block
DCDavid Edward Cliffel
David Edward Cliffel
CGC. R. Goodwin
C. R. Goodwin
CMC. C. Marasco
C. C. Marasco
SSS. D. Sherrod
S. D. Sherrod
The sophistication and success of recently reported microfabricated organs-on-chips and human organ constructs have made it possible to design scaled and interconnected organ systems that may significantly augment the current drug development pipeline and lead to advances in systems biology. Physiologically realistic live microHuman (μHu) and milliHuman (mHu) systems operating for weeks to months present exciting and important engineering challenges such as determining the appropriate size for each organ to ensure appropriate relative organ functional activity, achieving appropriate cell density, providing the requisite universal perfusion media, sensing the breadth of physiological responses, and maintaining stable control of the entire system, while maintaining fluid scaling that consists of ~5 mL for the mHu and ~5 μL for the μHu. We believe that successful mHu and μHu systems for drug development and systems biology will require low-volume microdevices that support chemical signaling, microfabricated pumps, valves and microformulators, automated optical microscopy, electrochemical sensors for rapid metabolic assessment, ion mobility-mass spectrometry for real-time molecular analysis, advanced bioinformatics, and machine learning algorithms for automated model inference and integrated electronic control. Toward this goal, we are building functional prototype components and are working toward top-down system integration.

26 September 2013 in Biomedical Microdevices
Verified
Journal Article
Closed access
PDF file
DMDmitry Markov
Dmitry Markov
ELElizabeth M. Lillie
Elizabeth M. Lillie
SGShawn P. Garbett
Shawn P. Garbett
LMLisa J. McCawley
Lisa J. McCawley

27 October 2009 in Biomedical Microdevices
Verified
Journal Article
Closed access
PDF file
DMDmitry Markov
Dmitry Markov
SMSteven Manuel
Steven Manuel
LSLeslie McCabe Shor
Leslie McCabe Shor
SOSusan R. Opalenik
Susan R. Opalenik
JWJohn P. Wikswo
John P. Wikswo
PSPhilip C. Samson
Philip C. Samson